From 95ca3380689c1b548dae1354627a5ba759fd82e9 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 16:02:33 +0000 Subject: [PATCH 01/88] Initial plan for issue From 8e5d6fed4de9c0ccce0f5819635cec92e7dab718 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 16:16:25 +0000 Subject: [PATCH 02/88] Implement standard logging module and integrate with existing loggers Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- CHANGELOG.md | 1 + graphrag/api/query.py | 3 + graphrag/cli/query.py | 4 ++ graphrag/config/logging.py | 21 +++---- graphrag/logger/null_progress.py | 18 ++++++ graphrag/logger/print_progress.py | 22 +++++-- graphrag/logger/rich_progress.py | 17 ++++++ graphrag/logger/standard_logging.py | 93 +++++++++++++++++++++++++++++ 8 files changed, 161 insertions(+), 18 deletions(-) create mode 100644 graphrag/logger/standard_logging.py diff --git a/CHANGELOG.md b/CHANGELOG.md index 0ccbefc50f..ae4c2663ba 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -3,6 +3,7 @@ Note: version releases in the 0.x.y range may introduce breaking changes. ## 2.3.0 +- minor: Improve internal logging functionality by standardizing on Python's built-in logging module - minor: Remove Dynamic Max Retries support. Refactor typer typing in cli interface - minor: Update fnllm to latest. Update default graphrag configuration - patch: A few fixes and enhancements for better reuse and flow. diff --git a/graphrag/api/query.py b/graphrag/api/query.py index 5077a5745b..48fbce25ef 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -32,6 +32,7 @@ ) from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.logger.print_progress import PrintProgressLogger +from graphrag.logger.standard_logging import get_logger from graphrag.query.factory import ( get_basic_search_engine, get_drift_search_engine, @@ -54,6 +55,8 @@ ) from graphrag.utils.cli import redact +# Initialize both a standard logger and a progress logger +log = get_logger(__name__) logger = PrintProgressLogger("") diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index 937ca69bbf..4543fbc3d4 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -4,6 +4,7 @@ """CLI implementation of the query subcommand.""" import asyncio +import logging import sys from pathlib import Path from typing import TYPE_CHECKING, Any @@ -13,12 +14,15 @@ from graphrag.config.load_config import load_config from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.logger.print_progress import PrintProgressLogger +from graphrag.logger.standard_logging import get_logger from graphrag.utils.api import create_storage_from_config from graphrag.utils.storage import load_table_from_storage, storage_has_table if TYPE_CHECKING: import pandas as pd +# Initialize both a standard logger and a progress logger +log = get_logger(__name__) logger = PrintProgressLogger("") diff --git a/graphrag/config/logging.py b/graphrag/config/logging.py index a72f82ab4c..fb7eaac7a7 100644 --- a/graphrag/config/logging.py +++ b/graphrag/config/logging.py @@ -8,6 +8,7 @@ from graphrag.config.enums import ReportingType from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.logger.standard_logging import configure_logging def enable_logging(log_filepath: str | Path, verbose: bool = False) -> None: @@ -20,16 +21,12 @@ def enable_logging(log_filepath: str | Path, verbose: bool = False) -> None: verbose : bool, default=False Whether to log debug messages. """ - log_filepath = Path(log_filepath) - log_filepath.parent.mkdir(parents=True, exist_ok=True) - log_filepath.touch(exist_ok=True) - - logging.basicConfig( - filename=log_filepath, - filemode="a", - format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s", - datefmt="%H:%M:%S", - level=logging.DEBUG if verbose else logging.INFO, + log_level = logging.DEBUG if verbose else logging.INFO + configure_logging( + log_level=log_level, + log_file=log_filepath, + log_format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s", + date_format="%H:%M:%S", ) @@ -42,10 +39,10 @@ def enable_logging_with_config( ---------- config : GraphRagConfig The configuration. - timestamp_value : str - The timestamp value representing the directory to place the log files. verbose : bool, default=False Whether to log debug messages. + filename : str, default="indexing-engine.log" + The name of the log file. Returns ------- diff --git a/graphrag/logger/null_progress.py b/graphrag/logger/null_progress.py index ee4fef096d..84d6ada126 100644 --- a/graphrag/logger/null_progress.py +++ b/graphrag/logger/null_progress.py @@ -3,17 +3,29 @@ """Null Progress Reporter.""" +import logging + from graphrag.logger.base import Progress, ProgressLogger +from graphrag.logger.standard_logging import get_logger class NullProgressLogger(ProgressLogger): """A progress logger that does nothing.""" + + _logger: logging.Logger + def __init__(self): + """Initialize the null progress logger.""" + self._logger = get_logger("graphrag.progress.null") + def __call__(self, update: Progress) -> None: """Update progress.""" + # We don't log anything for progress updates in the null logger + pass def dispose(self) -> None: """Dispose of the progress logger.""" + pass def child(self, prefix: str, transient: bool = True) -> ProgressLogger: """Create a child progress bar.""" @@ -21,18 +33,24 @@ def child(self, prefix: str, transient: bool = True) -> ProgressLogger: def force_refresh(self) -> None: """Force a refresh.""" + pass def stop(self) -> None: """Stop the progress logger.""" + pass def error(self, message: str) -> None: """Log an error.""" + self._logger.error(message) def warning(self, message: str) -> None: """Log a warning.""" + self._logger.warning(message) def info(self, message: str) -> None: """Log information.""" + self._logger.info(message) def success(self, message: str) -> None: """Log success.""" + self._logger.info(f"SUCCESS: {message}") diff --git a/graphrag/logger/print_progress.py b/graphrag/logger/print_progress.py index 39514c0c19..f58f97b800 100644 --- a/graphrag/logger/print_progress.py +++ b/graphrag/logger/print_progress.py @@ -3,25 +3,33 @@ """Print Progress Logger.""" +import logging + from graphrag.logger.base import Progress, ProgressLogger +from graphrag.logger.standard_logging import get_logger class PrintProgressLogger(ProgressLogger): """A progress logger that prints progress to stdout.""" prefix: str + _logger: logging.Logger def __init__(self, prefix: str): """Create a new progress logger.""" self.prefix = prefix - print(f"\n{self.prefix}", end="") # noqa T201 - + self._logger = get_logger("graphrag.progress") + self._logger.info(f"{self.prefix}") + def __call__(self, update: Progress) -> None: """Update progress.""" + self._logger.debug(".", extra={"progress": True}) + # Keep the legacy behavior of printing dots for progress print(".", end="") # noqa T201 def dispose(self) -> None: """Dispose of the progress logger.""" + pass def child(self, prefix: str, transient: bool = True) -> ProgressLogger: """Create a child progress bar.""" @@ -29,22 +37,24 @@ def child(self, prefix: str, transient: bool = True) -> ProgressLogger: def stop(self) -> None: """Stop the progress logger.""" + pass def force_refresh(self) -> None: """Force a refresh.""" + pass def error(self, message: str) -> None: """Log an error.""" - print(f"\n{self.prefix}ERROR: {message}") # noqa T201 + self._logger.error(f"{self.prefix}{message}") def warning(self, message: str) -> None: """Log a warning.""" - print(f"\n{self.prefix}WARNING: {message}") # noqa T201 + self._logger.warning(f"{self.prefix}{message}") def info(self, message: str) -> None: """Log information.""" - print(f"\n{self.prefix}INFO: {message}") # noqa T201 + self._logger.info(f"{self.prefix}{message}") def success(self, message: str) -> None: """Log success.""" - print(f"\n{self.prefix}SUCCESS: {message}") # noqa T201 + self._logger.info(f"{self.prefix}SUCCESS: {message}") diff --git a/graphrag/logger/rich_progress.py b/graphrag/logger/rich_progress.py index 818697a4f2..45325bb41c 100644 --- a/graphrag/logger/rich_progress.py +++ b/graphrag/logger/rich_progress.py @@ -5,6 +5,7 @@ # Print iterations progress import asyncio +import logging from rich.console import Console, Group from rich.live import Live @@ -14,6 +15,7 @@ from graphrag.logger.base import ProgressLogger from graphrag.logger.progress import Progress as GRProgress +from graphrag.logger.standard_logging import get_logger # https://stackoverflow.com/a/34325723 @@ -30,6 +32,7 @@ class RichProgressLogger(ProgressLogger): _disposing: bool = False _progressbar: Progress _last_refresh: float = 0 + _logger: logging.Logger def dispose(self) -> None: """Dispose of the progress logger.""" @@ -64,6 +67,7 @@ def __init__( ) -> None: """Create a new rich-based progress logger.""" self._prefix = prefix + self._logger = get_logger("graphrag.progress.rich") if parent is None: console = Console() @@ -100,6 +104,7 @@ def __init__( self._live = parent.live self._transient = transient + self._logger.info(f"{self._prefix} initialized") self.refresh() def refresh(self) -> None: @@ -117,25 +122,31 @@ def force_refresh(self) -> None: def stop(self) -> None: """Stop the progress logger.""" self._live.stop() + self._logger.info(f"{self._prefix} stopped") def child(self, prefix: str, transient: bool = True) -> ProgressLogger: """Create a child progress bar.""" + self._logger.debug(f"Creating child progress logger: {prefix}") return RichProgressLogger(parent=self, prefix=prefix, transient=transient) def error(self, message: str) -> None: """Log an error.""" + self._logger.error(f"{self._prefix} {message}") self._console.print(f"❌ [red]{message}[/red]") def warning(self, message: str) -> None: """Log a warning.""" + self._logger.warning(f"{self._prefix} {message}") self._console.print(f"⚠️ [yellow]{message}[/yellow]") def success(self, message: str) -> None: """Log success.""" + self._logger.info(f"{self._prefix} SUCCESS: {message}") self._console.print(f"🚀 [green]{message}[/green]") def info(self, message: str) -> None: """Log information.""" + self._logger.info(f"{self._prefix} {message}") self._console.print(message) def __call__(self, progress_update: GRProgress) -> None: @@ -159,6 +170,12 @@ def __call__(self, progress_update: GRProgress) -> None: total=total, description=f"{self._prefix}{progress_description}", ) + + self._logger.debug( + f"{self._prefix}{progress_description} - {completed}/{total}", + extra={"progress": True, "completed": completed, "total": total} + ) + if completed == total and self._transient: progressbar.update(self._task, visible=False) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py new file mode 100644 index 0000000000..8e468905c8 --- /dev/null +++ b/graphrag/logger/standard_logging.py @@ -0,0 +1,93 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Standard logging configuration for the graphrag package. + +This module provides a standardized way to configure Python's built-in +logging system for use within the graphrag package. +""" + +import logging +import sys +from pathlib import Path +from typing import Optional, Union + + +def configure_logging( + log_level: Union[int, str] = logging.INFO, + log_file: Optional[Union[str, Path]] = None, + log_format: str = "%(asctime)s - %(name)s - %(levelname)s - %(message)s", + date_format: str = "%Y-%m-%d %H:%M:%S", +) -> None: + """Configure the Python logging module for graphrag. + + This function sets up a root logger for the 'graphrag' package + with handlers for console output and optionally file output. + + Parameters + ---------- + log_level : Union[int, str], default=logging.INFO + The logging level to use. Can be a string or integer. + log_file : Optional[Union[str, Path]], default=None + Path to a log file. If None, logs will only go to console. + log_format : str, default="%(asctime)s - %(name)s - %(levelname)s - %(message)s" + The format for log messages. + date_format : str, default="%Y-%m-%d %H:%M:%S" + The format for dates in the log messages. + """ + # Convert string log level to numeric value if needed + if isinstance(log_level, str): + log_level = getattr(logging, log_level.upper(), logging.INFO) + + # Get the root logger for graphrag + logger = logging.getLogger("graphrag") + logger.setLevel(log_level) + + # Clear any existing handlers to avoid duplicate logs + if logger.hasHandlers(): + logger.handlers.clear() + + # Create formatter + formatter = logging.Formatter(fmt=log_format, datefmt=date_format) + + # Console handler + console_handler = logging.StreamHandler(sys.stdout) + console_handler.setFormatter(formatter) + logger.addHandler(console_handler) + + # File handler (optional) + if log_file: + log_path = Path(log_file) + log_path.parent.mkdir(parents=True, exist_ok=True) + + file_handler = logging.FileHandler(log_path) + file_handler.setFormatter(formatter) + logger.addHandler(file_handler) + + # Prevent propagation to root logger to avoid duplicate logging + logger.propagate = False + + +def get_logger(name: str) -> logging.Logger: + """Get a logger with the given name. + + This function returns a logger that is a child of the 'graphrag' logger. + + Parameters + ---------- + name : str + The name of the logger, usually __name__ + + Returns + ------- + logging.Logger + A logger instance + """ + # Ensure the name has 'graphrag' prefix for proper hierarchy + if not name.startswith("graphrag.") and name != "graphrag": + if name == "__main__": + name = "graphrag.main" + else: + name = f"graphrag.{name}" + + return logging.getLogger(name) \ No newline at end of file From 8d67400a342cd165ec49d80b8b390d1a5f0f7d7c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 16:19:41 +0000 Subject: [PATCH 03/88] Add test cases and improve documentation for standard logging Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/logger/standard_logging.py | 26 +++++++++++ tests/unit/logger/__init__.py | 4 ++ tests/unit/logger/test_standard_logging.py | 51 ++++++++++++++++++++++ 3 files changed, 81 insertions(+) create mode 100644 tests/unit/logger/__init__.py create mode 100644 tests/unit/logger/test_standard_logging.py diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 8e468905c8..b01fe76185 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -5,6 +5,32 @@ This module provides a standardized way to configure Python's built-in logging system for use within the graphrag package. + +Usage: + # Configuration should be done once at the start of your application: + from graphrag.logger.standard_logging import configure_logging + configure_logging(log_level="INFO", log_file="/path/to/app.log") + + # Then throughout your code: + from graphrag.logger.standard_logging import get_logger + logger = get_logger(__name__) # Typically pass __name__ to get module-specific logger + + # Use standard logging methods: + logger.debug("Debug message") + logger.info("Info message") + logger.warning("Warning message") + logger.error("Error message") + logger.critical("Critical error message") + +Notes: + The logging system is hierarchical. Loggers are organized in a tree structure, + with the root logger named 'graphrag'. All loggers created by get_logger() will + be children of this root logger. This allows for consistent configuration of all + graphrag-related logs throughout the application. + + Progress loggers (PrintProgressLogger, RichProgressLogger) have been integrated with + this standard logging system, so their messages will also be captured when using this + configuration. """ import logging diff --git a/tests/unit/logger/__init__.py b/tests/unit/logger/__init__.py new file mode 100644 index 0000000000..12339164d9 --- /dev/null +++ b/tests/unit/logger/__init__.py @@ -0,0 +1,4 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Tests for logger module.""" \ No newline at end of file diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py new file mode 100644 index 0000000000..101c67ca9c --- /dev/null +++ b/tests/unit/logger/test_standard_logging.py @@ -0,0 +1,51 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Tests for standard logging functionality.""" + +import logging +import os +from pathlib import Path +import tempfile + +from graphrag.logger.standard_logging import configure_logging, get_logger + + +def test_logger_name_formatting(): + """Test the logger name gets formatted correctly.""" + assert get_logger("test").name == "graphrag.test" + assert get_logger("graphrag.test").name == "graphrag.test" + assert get_logger("__main__").name == "graphrag.main" + + +def test_file_logging(): + """Test that logging to a file works.""" + with tempfile.TemporaryDirectory() as temp_dir: + log_file = Path(temp_dir) / "test.log" + + # Configure logging to file + configure_logging(log_file=log_file) + + # Get a logger and log some messages + logger = get_logger("test") + test_message = "Test file logging message" + logger.info(test_message) + + # Check that the log file exists and contains our message + assert log_file.exists() + with open(log_file, "r") as f: + content = f.read() + assert test_message in content + + +def test_logger_hierarchy(): + """Test that logger hierarchy works correctly.""" + # Reset logging to default state + configure_logging() + + root_logger = get_logger("graphrag") + child_logger = get_logger("graphrag.child") + + # Setting level on root should affect children + root_logger.setLevel(logging.ERROR) + assert child_logger.getEffectiveLevel() == logging.ERROR \ No newline at end of file From 424b72e486b536753fde764e0b3f4bda19bebc57 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 17:48:19 +0000 Subject: [PATCH 04/88] Apply ruff formatting and add semversioner file for logging improvements Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .semversioner/improve-standard-logging.json | 8 ++++++++ graphrag/logger/null_progress.py | 4 ++-- graphrag/logger/print_progress.py | 2 +- graphrag/logger/rich_progress.py | 6 +++--- graphrag/logger/standard_logging.py | 16 ++++++++-------- tests/unit/logger/__init__.py | 2 +- tests/unit/logger/test_standard_logging.py | 12 ++++++------ 7 files changed, 29 insertions(+), 21 deletions(-) create mode 100644 .semversioner/improve-standard-logging.json diff --git a/.semversioner/improve-standard-logging.json b/.semversioner/improve-standard-logging.json new file mode 100644 index 0000000000..edd01e10e6 --- /dev/null +++ b/.semversioner/improve-standard-logging.json @@ -0,0 +1,8 @@ +{ + "changes": [ + { + "description": "Improve internal logging functionality by using Python's standard logging module", + "type": "minor" + } + ] +} \ No newline at end of file diff --git a/graphrag/logger/null_progress.py b/graphrag/logger/null_progress.py index 84d6ada126..f3179a0f7b 100644 --- a/graphrag/logger/null_progress.py +++ b/graphrag/logger/null_progress.py @@ -11,13 +11,13 @@ class NullProgressLogger(ProgressLogger): """A progress logger that does nothing.""" - + _logger: logging.Logger def __init__(self): """Initialize the null progress logger.""" self._logger = get_logger("graphrag.progress.null") - + def __call__(self, update: Progress) -> None: """Update progress.""" # We don't log anything for progress updates in the null logger diff --git a/graphrag/logger/print_progress.py b/graphrag/logger/print_progress.py index f58f97b800..a4ff84e616 100644 --- a/graphrag/logger/print_progress.py +++ b/graphrag/logger/print_progress.py @@ -20,7 +20,7 @@ def __init__(self, prefix: str): self.prefix = prefix self._logger = get_logger("graphrag.progress") self._logger.info(f"{self.prefix}") - + def __call__(self, update: Progress) -> None: """Update progress.""" self._logger.debug(".", extra={"progress": True}) diff --git a/graphrag/logger/rich_progress.py b/graphrag/logger/rich_progress.py index 45325bb41c..b4e8115422 100644 --- a/graphrag/logger/rich_progress.py +++ b/graphrag/logger/rich_progress.py @@ -170,12 +170,12 @@ def __call__(self, progress_update: GRProgress) -> None: total=total, description=f"{self._prefix}{progress_description}", ) - + self._logger.debug( f"{self._prefix}{progress_description} - {completed}/{total}", - extra={"progress": True, "completed": completed, "total": total} + extra={"progress": True, "completed": completed, "total": total}, ) - + if completed == total and self._transient: progressbar.update(self._task, visible=False) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index b01fe76185..c04b54a585 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -14,7 +14,7 @@ # Then throughout your code: from graphrag.logger.standard_logging import get_logger logger = get_logger(__name__) # Typically pass __name__ to get module-specific logger - + # Use standard logging methods: logger.debug("Debug message") logger.info("Info message") @@ -68,7 +68,7 @@ def configure_logging( # Get the root logger for graphrag logger = logging.getLogger("graphrag") logger.setLevel(log_level) - + # Clear any existing handlers to avoid duplicate logs if logger.hasHandlers(): logger.handlers.clear() @@ -85,7 +85,7 @@ def configure_logging( if log_file: log_path = Path(log_file) log_path.parent.mkdir(parents=True, exist_ok=True) - + file_handler = logging.FileHandler(log_path) file_handler.setFormatter(formatter) logger.addHandler(file_handler) @@ -96,14 +96,14 @@ def configure_logging( def get_logger(name: str) -> logging.Logger: """Get a logger with the given name. - + This function returns a logger that is a child of the 'graphrag' logger. - + Parameters ---------- name : str The name of the logger, usually __name__ - + Returns ------- logging.Logger @@ -115,5 +115,5 @@ def get_logger(name: str) -> logging.Logger: name = "graphrag.main" else: name = f"graphrag.{name}" - - return logging.getLogger(name) \ No newline at end of file + + return logging.getLogger(name) diff --git a/tests/unit/logger/__init__.py b/tests/unit/logger/__init__.py index 12339164d9..7493c4e8ad 100644 --- a/tests/unit/logger/__init__.py +++ b/tests/unit/logger/__init__.py @@ -1,4 +1,4 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Tests for logger module.""" \ No newline at end of file +"""Tests for logger module.""" diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 101c67ca9c..428362e832 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -22,15 +22,15 @@ def test_file_logging(): """Test that logging to a file works.""" with tempfile.TemporaryDirectory() as temp_dir: log_file = Path(temp_dir) / "test.log" - + # Configure logging to file configure_logging(log_file=log_file) - + # Get a logger and log some messages logger = get_logger("test") test_message = "Test file logging message" logger.info(test_message) - + # Check that the log file exists and contains our message assert log_file.exists() with open(log_file, "r") as f: @@ -42,10 +42,10 @@ def test_logger_hierarchy(): """Test that logger hierarchy works correctly.""" # Reset logging to default state configure_logging() - + root_logger = get_logger("graphrag") child_logger = get_logger("graphrag.child") - + # Setting level on root should affect children root_logger.setLevel(logging.ERROR) - assert child_logger.getEffectiveLevel() == logging.ERROR \ No newline at end of file + assert child_logger.getEffectiveLevel() == logging.ERROR From 221a991fb595106b486c673ad829d74a1d2c3202 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 20:31:27 +0000 Subject: [PATCH 05/88] Remove custom logger classes and refactor to use standard logging only Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/api/index.py | 4 +- graphrag/api/query.py | 4 +- graphrag/cli/query.py | 4 +- graphrag/index/input/factory.py | 4 +- graphrag/index/validate_config.py | 2 +- graphrag/logger/factory.py | 21 +-- graphrag/logger/null_progress.py | 56 ------ graphrag/logger/print_progress.py | 60 ------- graphrag/logger/rich_progress.py | 182 -------------------- graphrag/logger/standard_logging.py | 4 +- graphrag/logger/standard_progress_logger.py | 79 +++++++++ 11 files changed, 95 insertions(+), 325 deletions(-) delete mode 100644 graphrag/logger/null_progress.py delete mode 100644 graphrag/logger/print_progress.py delete mode 100644 graphrag/logger/rich_progress.py create mode 100644 graphrag/logger/standard_progress_logger.py diff --git a/graphrag/api/index.py b/graphrag/api/index.py index f530bfa4b3..477ed0dc90 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -20,7 +20,7 @@ from graphrag.index.typing.workflow import WorkflowFunction from graphrag.index.workflows.factory import PipelineFactory from graphrag.logger.base import ProgressLogger -from graphrag.logger.null_progress import NullProgressLogger +from graphrag.logger.standard_progress_logger import StandardProgressLogger log = logging.getLogger(__name__) @@ -53,7 +53,7 @@ async def build_index( list[PipelineRunResult] The list of pipeline run results """ - logger = progress_logger or NullProgressLogger() + logger = progress_logger or StandardProgressLogger("") # create a pipeline reporter and add to any additional callbacks callbacks = callbacks or [] callbacks.append(create_pipeline_reporter(config.reporting, None)) diff --git a/graphrag/api/query.py b/graphrag/api/query.py index 48fbce25ef..cd202f22c9 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -31,7 +31,7 @@ text_unit_text_embedding, ) from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.logger.print_progress import PrintProgressLogger +from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.logger.standard_logging import get_logger from graphrag.query.factory import ( get_basic_search_engine, @@ -57,7 +57,7 @@ # Initialize both a standard logger and a progress logger log = get_logger(__name__) -logger = PrintProgressLogger("") +logger = StandardProgressLogger("") @validate_call(config={"arbitrary_types_allowed": True}) diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index 4543fbc3d4..b27febeafb 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -13,7 +13,7 @@ from graphrag.callbacks.noop_query_callbacks import NoopQueryCallbacks from graphrag.config.load_config import load_config from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.logger.print_progress import PrintProgressLogger +from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.logger.standard_logging import get_logger from graphrag.utils.api import create_storage_from_config from graphrag.utils.storage import load_table_from_storage, storage_has_table @@ -23,7 +23,7 @@ # Initialize both a standard logger and a progress logger log = get_logger(__name__) -logger = PrintProgressLogger("") +logger = StandardProgressLogger("") def run_global_search( diff --git a/graphrag/index/input/factory.py b/graphrag/index/input/factory.py index 7c1d54bbd4..08388f661a 100644 --- a/graphrag/index/input/factory.py +++ b/graphrag/index/input/factory.py @@ -16,7 +16,7 @@ from graphrag.index.input.json import load_json from graphrag.index.input.text import load_text from graphrag.logger.base import ProgressLogger -from graphrag.logger.null_progress import NullProgressLogger +from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage from graphrag.storage.file_pipeline_storage import FilePipelineStorage @@ -36,7 +36,7 @@ async def create_input( """Instantiate input data for a pipeline.""" root_dir = root_dir or "" log.info("loading input from root_dir=%s", config.base_dir) - progress_reporter = progress_reporter or NullProgressLogger() + progress_reporter = progress_reporter or StandardProgressLogger("") match config.type: case InputType.blob: diff --git a/graphrag/index/validate_config.py b/graphrag/index/validate_config.py index fc75494522..617a2944ed 100644 --- a/graphrag/index/validate_config.py +++ b/graphrag/index/validate_config.py @@ -9,7 +9,7 @@ from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.language_model.manager import ModelManager -from graphrag.logger.print_progress import ProgressLogger +from graphrag.logger.base import ProgressLogger def validate_config_names(logger: ProgressLogger, parameters: GraphRagConfig) -> None: diff --git a/graphrag/logger/factory.py b/graphrag/logger/factory.py index ef394e2dd9..027419fa17 100644 --- a/graphrag/logger/factory.py +++ b/graphrag/logger/factory.py @@ -6,9 +6,7 @@ from typing import ClassVar from graphrag.logger.base import ProgressLogger -from graphrag.logger.null_progress import NullProgressLogger -from graphrag.logger.print_progress import PrintProgressLogger -from graphrag.logger.rich_progress import RichProgressLogger +from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.logger.types import LoggerType @@ -29,15 +27,8 @@ def create_logger( """Create a logger based on the provided type.""" if kwargs is None: kwargs = {} - match logger_type: - case LoggerType.RICH: - return RichProgressLogger("GraphRAG Indexer ") - case LoggerType.PRINT: - return PrintProgressLogger("GraphRAG Indexer ") - case LoggerType.NONE: - return NullProgressLogger() - case _: - if logger_type in cls.logger_types: - return cls.logger_types[logger_type](**kwargs) - # default to null logger if no other logger is found - return NullProgressLogger() + + # All logger types now use the standard progress logger + # The visual differences (rich, print) are handled by the logging configuration + prefix = kwargs.get("prefix", "GraphRAG Indexer ") + return StandardProgressLogger(prefix) diff --git a/graphrag/logger/null_progress.py b/graphrag/logger/null_progress.py deleted file mode 100644 index f3179a0f7b..0000000000 --- a/graphrag/logger/null_progress.py +++ /dev/null @@ -1,56 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Null Progress Reporter.""" - -import logging - -from graphrag.logger.base import Progress, ProgressLogger -from graphrag.logger.standard_logging import get_logger - - -class NullProgressLogger(ProgressLogger): - """A progress logger that does nothing.""" - - _logger: logging.Logger - - def __init__(self): - """Initialize the null progress logger.""" - self._logger = get_logger("graphrag.progress.null") - - def __call__(self, update: Progress) -> None: - """Update progress.""" - # We don't log anything for progress updates in the null logger - pass - - def dispose(self) -> None: - """Dispose of the progress logger.""" - pass - - def child(self, prefix: str, transient: bool = True) -> ProgressLogger: - """Create a child progress bar.""" - return self - - def force_refresh(self) -> None: - """Force a refresh.""" - pass - - def stop(self) -> None: - """Stop the progress logger.""" - pass - - def error(self, message: str) -> None: - """Log an error.""" - self._logger.error(message) - - def warning(self, message: str) -> None: - """Log a warning.""" - self._logger.warning(message) - - def info(self, message: str) -> None: - """Log information.""" - self._logger.info(message) - - def success(self, message: str) -> None: - """Log success.""" - self._logger.info(f"SUCCESS: {message}") diff --git a/graphrag/logger/print_progress.py b/graphrag/logger/print_progress.py deleted file mode 100644 index a4ff84e616..0000000000 --- a/graphrag/logger/print_progress.py +++ /dev/null @@ -1,60 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Print Progress Logger.""" - -import logging - -from graphrag.logger.base import Progress, ProgressLogger -from graphrag.logger.standard_logging import get_logger - - -class PrintProgressLogger(ProgressLogger): - """A progress logger that prints progress to stdout.""" - - prefix: str - _logger: logging.Logger - - def __init__(self, prefix: str): - """Create a new progress logger.""" - self.prefix = prefix - self._logger = get_logger("graphrag.progress") - self._logger.info(f"{self.prefix}") - - def __call__(self, update: Progress) -> None: - """Update progress.""" - self._logger.debug(".", extra={"progress": True}) - # Keep the legacy behavior of printing dots for progress - print(".", end="") # noqa T201 - - def dispose(self) -> None: - """Dispose of the progress logger.""" - pass - - def child(self, prefix: str, transient: bool = True) -> ProgressLogger: - """Create a child progress bar.""" - return PrintProgressLogger(prefix) - - def stop(self) -> None: - """Stop the progress logger.""" - pass - - def force_refresh(self) -> None: - """Force a refresh.""" - pass - - def error(self, message: str) -> None: - """Log an error.""" - self._logger.error(f"{self.prefix}{message}") - - def warning(self, message: str) -> None: - """Log a warning.""" - self._logger.warning(f"{self.prefix}{message}") - - def info(self, message: str) -> None: - """Log information.""" - self._logger.info(f"{self.prefix}{message}") - - def success(self, message: str) -> None: - """Log success.""" - self._logger.info(f"{self.prefix}SUCCESS: {message}") diff --git a/graphrag/logger/rich_progress.py b/graphrag/logger/rich_progress.py deleted file mode 100644 index b4e8115422..0000000000 --- a/graphrag/logger/rich_progress.py +++ /dev/null @@ -1,182 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Rich-based progress logger for CLI use.""" - -# Print iterations progress -import asyncio -import logging - -from rich.console import Console, Group -from rich.live import Live -from rich.progress import Progress, TaskID, TimeElapsedColumn -from rich.spinner import Spinner -from rich.tree import Tree - -from graphrag.logger.base import ProgressLogger -from graphrag.logger.progress import Progress as GRProgress -from graphrag.logger.standard_logging import get_logger - - -# https://stackoverflow.com/a/34325723 -class RichProgressLogger(ProgressLogger): - """A rich-based progress logger for CLI use.""" - - _console: Console - _group: Group - _tree: Tree - _live: Live - _task: TaskID | None = None - _prefix: str - _transient: bool - _disposing: bool = False - _progressbar: Progress - _last_refresh: float = 0 - _logger: logging.Logger - - def dispose(self) -> None: - """Dispose of the progress logger.""" - self._disposing = True - self._live.stop() - - @property - def console(self) -> Console: - """Get the console.""" - return self._console - - @property - def group(self) -> Group: - """Get the group.""" - return self._group - - @property - def tree(self) -> Tree: - """Get the tree.""" - return self._tree - - @property - def live(self) -> Live: - """Get the live.""" - return self._live - - def __init__( - self, - prefix: str, - parent: "RichProgressLogger | None" = None, - transient: bool = True, - ) -> None: - """Create a new rich-based progress logger.""" - self._prefix = prefix - self._logger = get_logger("graphrag.progress.rich") - - if parent is None: - console = Console() - group = Group(Spinner("dots", prefix), fit=True) - tree = Tree(group) - live = Live( - tree, console=console, refresh_per_second=1, vertical_overflow="crop" - ) - live.start() - - self._console = console - self._group = group - self._tree = tree - self._live = live - self._transient = False - else: - self._console = parent.console - self._group = parent.group - progress_columns = [*Progress.get_default_columns(), TimeElapsedColumn()] - self._progressbar = Progress( - *progress_columns, console=self._console, transient=transient - ) - - tree = Tree(prefix) - tree.add(self._progressbar) - tree.hide_root = True - - if parent is not None: - parent_tree = parent.tree - parent_tree.hide_root = False - parent_tree.add(tree) - - self._tree = tree - self._live = parent.live - self._transient = transient - - self._logger.info(f"{self._prefix} initialized") - self.refresh() - - def refresh(self) -> None: - """Perform a debounced refresh.""" - now = asyncio.get_event_loop().time() - duration = now - self._last_refresh - if duration > 0.1: - self._last_refresh = now - self.force_refresh() - - def force_refresh(self) -> None: - """Force a refresh.""" - self.live.refresh() - - def stop(self) -> None: - """Stop the progress logger.""" - self._live.stop() - self._logger.info(f"{self._prefix} stopped") - - def child(self, prefix: str, transient: bool = True) -> ProgressLogger: - """Create a child progress bar.""" - self._logger.debug(f"Creating child progress logger: {prefix}") - return RichProgressLogger(parent=self, prefix=prefix, transient=transient) - - def error(self, message: str) -> None: - """Log an error.""" - self._logger.error(f"{self._prefix} {message}") - self._console.print(f"❌ [red]{message}[/red]") - - def warning(self, message: str) -> None: - """Log a warning.""" - self._logger.warning(f"{self._prefix} {message}") - self._console.print(f"⚠️ [yellow]{message}[/yellow]") - - def success(self, message: str) -> None: - """Log success.""" - self._logger.info(f"{self._prefix} SUCCESS: {message}") - self._console.print(f"🚀 [green]{message}[/green]") - - def info(self, message: str) -> None: - """Log information.""" - self._logger.info(f"{self._prefix} {message}") - self._console.print(message) - - def __call__(self, progress_update: GRProgress) -> None: - """Update progress.""" - if self._disposing: - return - progressbar = self._progressbar - - if self._task is None: - self._task = progressbar.add_task(self._prefix) - - progress_description = "" - if progress_update.description is not None: - progress_description = f" - {progress_update.description}" - - completed = progress_update.completed_items or progress_update.percent - total = progress_update.total_items or 1 - progressbar.update( - self._task, - completed=completed, - total=total, - description=f"{self._prefix}{progress_description}", - ) - - self._logger.debug( - f"{self._prefix}{progress_description} - {completed}/{total}", - extra={"progress": True, "completed": completed, "total": total}, - ) - - if completed == total and self._transient: - progressbar.update(self._task, visible=False) - - self.refresh() diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index c04b54a585..c9db9b20ae 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -28,9 +28,7 @@ be children of this root logger. This allows for consistent configuration of all graphrag-related logs throughout the application. - Progress loggers (PrintProgressLogger, RichProgressLogger) have been integrated with - this standard logging system, so their messages will also be captured when using this - configuration. + All progress logging now uses this standard logging system for consistency. """ import logging diff --git a/graphrag/logger/standard_progress_logger.py b/graphrag/logger/standard_progress_logger.py new file mode 100644 index 0000000000..ce9e59890b --- /dev/null +++ b/graphrag/logger/standard_progress_logger.py @@ -0,0 +1,79 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Standard Progress Logger using Python's built-in logging module.""" + +import logging + +from graphrag.logger.base import Progress, ProgressLogger +from graphrag.logger.standard_logging import get_logger + + +class StandardProgressLogger(ProgressLogger): + """A progress logger that uses Python's standard logging module.""" + + _logger: logging.Logger + _prefix: str + + def __init__(self, prefix: str = ""): + """Initialize the standard progress logger. + + Parameters + ---------- + prefix : str + A prefix to add to all log messages + """ + self._prefix = prefix + self._logger = get_logger("graphrag.progress") + if prefix: + self._logger.info(f"{self._prefix}") + + def __call__(self, update: Progress) -> None: + """Update progress. + + Note: This logs progress information but does not show visual progress bars. + """ + description = f" - {update.description}" if update.description else "" + + if update.completed_items is not None and update.total_items is not None: + progress_msg = f"{self._prefix}Progress{description}: {update.completed_items}/{update.total_items}" + elif update.percent is not None: + progress_msg = f"{self._prefix}Progress{description}: {update.percent:.1%}" + else: + progress_msg = f"{self._prefix}Progress{description}" + + self._logger.debug(progress_msg) + + def dispose(self) -> None: + """Dispose of the progress logger.""" + pass + + def child(self, prefix: str, transient: bool = True) -> ProgressLogger: + """Create a child progress logger.""" + child_prefix = f"{self._prefix}{prefix}" + return StandardProgressLogger(child_prefix) + + def force_refresh(self) -> None: + """Force a refresh.""" + pass + + def stop(self) -> None: + """Stop the progress logger.""" + if self._prefix: + self._logger.info(f"{self._prefix}completed") + + def error(self, message: str) -> None: + """Log an error.""" + self._logger.error(f"{self._prefix}{message}") + + def warning(self, message: str) -> None: + """Log a warning.""" + self._logger.warning(f"{self._prefix}{message}") + + def info(self, message: str) -> None: + """Log information.""" + self._logger.info(f"{self._prefix}{message}") + + def success(self, message: str) -> None: + """Log success.""" + self._logger.info(f"{self._prefix}SUCCESS: {message}") From d444a81356fe52739ef20e887356ad16fb4d3aa9 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 20:47:13 +0000 Subject: [PATCH 06/88] Apply ruff formatting to resolve CI/CD test failures Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 ++- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- graphrag/api/query.py | 2 +- graphrag/cli/query.py | 3 +-- graphrag/logger/standard_logging.py | 8 ++++---- graphrag/logger/standard_progress_logger.py | 2 -- tests/unit/logger/test_standard_logging.py | 5 ++--- 7 files changed, 13 insertions(+), 16 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/api/query.py b/graphrag/api/query.py index cd202f22c9..bf2c81b9e2 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -31,8 +31,8 @@ text_unit_text_embedding, ) from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.logger.standard_logging import get_logger +from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.query.factory import ( get_basic_search_engine, get_drift_search_engine, diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index b27febeafb..346d3e1773 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -4,7 +4,6 @@ """CLI implementation of the query subcommand.""" import asyncio -import logging import sys from pathlib import Path from typing import TYPE_CHECKING, Any @@ -13,8 +12,8 @@ from graphrag.callbacks.noop_query_callbacks import NoopQueryCallbacks from graphrag.config.load_config import load_config from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.logger.standard_logging import get_logger +from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.utils.api import create_storage_from_config from graphrag.utils.storage import load_table_from_storage, storage_has_table diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index c9db9b20ae..505dab833d 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -22,7 +22,8 @@ logger.error("Error message") logger.critical("Critical error message") -Notes: +Notes +----- The logging system is hierarchical. Loggers are organized in a tree structure, with the root logger named 'graphrag'. All loggers created by get_logger() will be children of this root logger. This allows for consistent configuration of all @@ -34,12 +35,11 @@ import logging import sys from pathlib import Path -from typing import Optional, Union def configure_logging( - log_level: Union[int, str] = logging.INFO, - log_file: Optional[Union[str, Path]] = None, + log_level: int | str = logging.INFO, + log_file: str | Path | None = None, log_format: str = "%(asctime)s - %(name)s - %(levelname)s - %(message)s", date_format: str = "%Y-%m-%d %H:%M:%S", ) -> None: diff --git a/graphrag/logger/standard_progress_logger.py b/graphrag/logger/standard_progress_logger.py index ce9e59890b..80ab66a5bb 100644 --- a/graphrag/logger/standard_progress_logger.py +++ b/graphrag/logger/standard_progress_logger.py @@ -46,7 +46,6 @@ def __call__(self, update: Progress) -> None: def dispose(self) -> None: """Dispose of the progress logger.""" - pass def child(self, prefix: str, transient: bool = True) -> ProgressLogger: """Create a child progress logger.""" @@ -55,7 +54,6 @@ def child(self, prefix: str, transient: bool = True) -> ProgressLogger: def force_refresh(self) -> None: """Force a refresh.""" - pass def stop(self) -> None: """Stop the progress logger.""" diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 428362e832..f5b2f79566 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -4,9 +4,8 @@ """Tests for standard logging functionality.""" import logging -import os -from pathlib import Path import tempfile +from pathlib import Path from graphrag.logger.standard_logging import configure_logging, get_logger @@ -33,7 +32,7 @@ def test_file_logging(): # Check that the log file exists and contains our message assert log_file.exists() - with open(log_file, "r") as f: + with open(log_file) as f: content = f.read() assert test_message in content From 02dd063e76bc444e66c61456f608f873a91d818e Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 20:57:01 +0000 Subject: [PATCH 07/88] Add semversioner file and fix linting issues Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../next-release/minor-20250530205332554710.json | 4 ++++ graphrag/logger/factory.py | 7 ++++++- graphrag/logger/standard_logging.py | 5 +---- graphrag/logger/standard_progress_logger.py | 12 ++++++------ 4 files changed, 17 insertions(+), 11 deletions(-) create mode 100644 .semversioner/next-release/minor-20250530205332554710.json diff --git a/.semversioner/next-release/minor-20250530205332554710.json b/.semversioner/next-release/minor-20250530205332554710.json new file mode 100644 index 0000000000..4d7e037909 --- /dev/null +++ b/.semversioner/next-release/minor-20250530205332554710.json @@ -0,0 +1,4 @@ +{ + "type": "minor", + "description": "Improve internal logging functionality by using Python's standard logging module" +} diff --git a/graphrag/logger/factory.py b/graphrag/logger/factory.py index 027419fa17..c6912b74e1 100644 --- a/graphrag/logger/factory.py +++ b/graphrag/logger/factory.py @@ -28,7 +28,12 @@ def create_logger( if kwargs is None: kwargs = {} - # All logger types now use the standard progress logger + # Check if a custom logger type was registered + if isinstance(logger_type, str) and logger_type in cls.logger_types: + logger_class = cls.logger_types[logger_type] + return logger_class(**kwargs) + + # All standard logger types now use the standard progress logger # The visual differences (rich, print) are handled by the logging configuration prefix = kwargs.get("prefix", "GraphRAG Indexer ") return StandardProgressLogger(prefix) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 505dab833d..747ca4769b 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -109,9 +109,6 @@ def get_logger(name: str) -> logging.Logger: """ # Ensure the name has 'graphrag' prefix for proper hierarchy if not name.startswith("graphrag.") and name != "graphrag": - if name == "__main__": - name = "graphrag.main" - else: - name = f"graphrag.{name}" + name = "graphrag.main" if name == "__main__" else f"graphrag.{name}" return logging.getLogger(name) diff --git a/graphrag/logger/standard_progress_logger.py b/graphrag/logger/standard_progress_logger.py index 80ab66a5bb..cd504c7a15 100644 --- a/graphrag/logger/standard_progress_logger.py +++ b/graphrag/logger/standard_progress_logger.py @@ -26,7 +26,7 @@ def __init__(self, prefix: str = ""): self._prefix = prefix self._logger = get_logger("graphrag.progress") if prefix: - self._logger.info(f"{self._prefix}") + self._logger.info("%s", self._prefix) def __call__(self, update: Progress) -> None: """Update progress. @@ -58,20 +58,20 @@ def force_refresh(self) -> None: def stop(self) -> None: """Stop the progress logger.""" if self._prefix: - self._logger.info(f"{self._prefix}completed") + self._logger.info("%scompleted", self._prefix) def error(self, message: str) -> None: """Log an error.""" - self._logger.error(f"{self._prefix}{message}") + self._logger.error("%s%s", self._prefix, message) def warning(self, message: str) -> None: """Log a warning.""" - self._logger.warning(f"{self._prefix}{message}") + self._logger.warning("%s%s", self._prefix, message) def info(self, message: str) -> None: """Log information.""" - self._logger.info(f"{self._prefix}{message}") + self._logger.info("%s%s", self._prefix, message) def success(self, message: str) -> None: """Log success.""" - self._logger.info(f"{self._prefix}SUCCESS: {message}") + self._logger.info("%sSUCCESS: %s", self._prefix, message) From 25055fe561bab257b12fff38bbb72ea0537fc042 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 30 May 2025 17:08:20 -0400 Subject: [PATCH 08/88] ruff fixes --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From 8a28cb6c4ab355bce2ce2f93e5d85d1e85ded353 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 30 May 2025 17:11:26 -0400 Subject: [PATCH 09/88] fix spelling error --- graphrag/logger/standard_progress_logger.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/graphrag/logger/standard_progress_logger.py b/graphrag/logger/standard_progress_logger.py index cd504c7a15..44d3f4fa82 100644 --- a/graphrag/logger/standard_progress_logger.py +++ b/graphrag/logger/standard_progress_logger.py @@ -58,7 +58,7 @@ def force_refresh(self) -> None: def stop(self) -> None: """Stop the progress logger.""" if self._prefix: - self._logger.info("%scompleted", self._prefix) + self._logger.info("%s completed", self._prefix) def error(self, message: str) -> None: """Log an error.""" From c2f2cff27c5d3f928ba5e7bb97adf45e3ea6d5b6 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 21:42:32 +0000 Subject: [PATCH 10/88] Remove StandardProgressLogger and refactor to use standard logging Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/api/index.py | 20 +++--- graphrag/api/query.py | 5 +- graphrag/cli/query.py | 37 +++++----- graphrag/index/input/csv.py | 3 +- graphrag/index/input/factory.py | 13 ++-- graphrag/index/input/json.py | 3 +- graphrag/index/input/text.py | 3 +- graphrag/index/input/util.py | 3 +- graphrag/index/run/run_pipeline.py | 12 ++-- graphrag/index/run/utils.py | 7 +- graphrag/logger/factory.py | 12 ++-- graphrag/logger/standard_progress_logger.py | 77 --------------------- graphrag/storage/blob_pipeline_storage.py | 7 +- graphrag/storage/file_pipeline_storage.py | 7 +- 14 files changed, 59 insertions(+), 150 deletions(-) delete mode 100644 graphrag/logger/standard_progress_logger.py diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 477ed0dc90..8afec9cc38 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -19,10 +19,10 @@ from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.index.typing.workflow import WorkflowFunction from graphrag.index.workflows.factory import PipelineFactory -from graphrag.logger.base import ProgressLogger -from graphrag.logger.standard_progress_logger import StandardProgressLogger +from graphrag.logger.standard_logging import get_logger log = logging.getLogger(__name__) +logger = get_logger("graphrag.indexing") async def build_index( @@ -31,7 +31,7 @@ async def build_index( is_update_run: bool = False, memory_profile: bool = False, callbacks: list[WorkflowCallbacks] | None = None, - progress_logger: ProgressLogger | None = None, + progress_logger: logging.Logger | None = None, ) -> list[PipelineRunResult]: """Run the pipeline with the given configuration. @@ -45,7 +45,7 @@ async def build_index( Whether to enable memory profiling. callbacks : list[WorkflowCallbacks] | None default=None A list of callbacks to register. - progress_logger : ProgressLogger | None default=None + progress_logger : logging.Logger | None default=None The progress logger. Returns @@ -53,12 +53,12 @@ async def build_index( list[PipelineRunResult] The list of pipeline run results """ - logger = progress_logger or StandardProgressLogger("") + used_logger = progress_logger or logger # create a pipeline reporter and add to any additional callbacks callbacks = callbacks or [] callbacks.append(create_pipeline_reporter(config.reporting, None)) - workflow_callbacks = create_callback_chain(callbacks, logger) + workflow_callbacks = create_callback_chain(callbacks) outputs: list[PipelineRunResult] = [] @@ -73,15 +73,15 @@ async def build_index( pipeline, config, callbacks=workflow_callbacks, - logger=logger, + logger=used_logger, is_update_run=is_update_run, ): outputs.append(output) if output.errors and len(output.errors) > 0: - logger.error(output.workflow) + used_logger.error("Workflow %s completed with errors", output.workflow) else: - logger.success(output.workflow) - logger.info(str(output.result)) + used_logger.info("Workflow %s completed successfully", output.workflow) + used_logger.info(str(output.result)) workflow_callbacks.pipeline_end(outputs) return outputs diff --git a/graphrag/api/query.py b/graphrag/api/query.py index bf2c81b9e2..43abacfb78 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -32,7 +32,6 @@ ) from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.logger.standard_logging import get_logger -from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.query.factory import ( get_basic_search_engine, get_drift_search_engine, @@ -55,9 +54,9 @@ ) from graphrag.utils.cli import redact -# Initialize both a standard logger and a progress logger +# Initialize standard logger log = get_logger(__name__) -logger = StandardProgressLogger("") +logger = get_logger("graphrag.query") @validate_call(config={"arbitrary_types_allowed": True}) diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index 346d3e1773..b974980634 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -13,16 +13,15 @@ from graphrag.config.load_config import load_config from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.logger.standard_logging import get_logger -from graphrag.logger.standard_progress_logger import StandardProgressLogger from graphrag.utils.api import create_storage_from_config from graphrag.utils.storage import load_table_from_storage, storage_has_table if TYPE_CHECKING: import pandas as pd -# Initialize both a standard logger and a progress logger +# Initialize standard logger log = get_logger(__name__) -logger = StandardProgressLogger("") +logger = get_logger("graphrag.cli.query") def run_global_search( @@ -62,8 +61,8 @@ def run_global_search( final_community_reports_list = dataframe_dict["community_reports"] index_names = dataframe_dict["index_names"] - logger.success( - f"Running Multi-index Global Search: {dataframe_dict['index_names']}" + logger.info( + "Running Multi-index Global Search: %s", dataframe_dict["index_names"] ) response, context_data = asyncio.run( @@ -80,7 +79,7 @@ def run_global_search( query=query, ) ) - logger.success(f"Global Search Response:\n{response}") + logger.info("Global Search Response:\n%s", response) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -134,7 +133,7 @@ def on_context(context: Any) -> None: query=query, ) ) - logger.success(f"Global Search Response:\n{response}") + logger.info("Global Search Response:\n%s", response) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -181,8 +180,8 @@ def run_local_search( final_relationships_list = dataframe_dict["relationships"] index_names = dataframe_dict["index_names"] - logger.success( - f"Running Multi-index Local Search: {dataframe_dict['index_names']}" + logger.info( + "Running Multi-index Local Search: %s", dataframe_dict["index_names"] ) # If any covariates tables are missing from any index, set the covariates list to None @@ -207,7 +206,7 @@ def run_local_search( query=query, ) ) - logger.success(f"Local Search Response:\n{response}") + logger.info("Local Search Response:\n%s", response) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -268,7 +267,7 @@ def on_context(context: Any) -> None: query=query, ) ) - logger.success(f"Local Search Response:\n{response}") + logger.info("Local Search Response:\n%s", response) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -313,8 +312,8 @@ def run_drift_search( final_relationships_list = dataframe_dict["relationships"] index_names = dataframe_dict["index_names"] - logger.success( - f"Running Multi-index Drift Search: {dataframe_dict['index_names']}" + logger.info( + "Running Multi-index Drift Search: %s", dataframe_dict["index_names"] ) response, context_data = asyncio.run( @@ -332,7 +331,7 @@ def run_drift_search( query=query, ) ) - logger.success(f"DRIFT Search Response:\n{response}") + logger.info("DRIFT Search Response:\n%s", response) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -391,7 +390,7 @@ def on_context(context: Any) -> None: query=query, ) ) - logger.success(f"DRIFT Search Response:\n{response}") + logger.info("DRIFT Search Response:\n%s", response) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -426,8 +425,8 @@ def run_basic_search( final_text_units_list = dataframe_dict["text_units"] index_names = dataframe_dict["index_names"] - logger.success( - f"Running Multi-index Basic Search: {dataframe_dict['index_names']}" + logger.info( + "Running Multi-index Basic Search: %s", dataframe_dict["index_names"] ) response, context_data = asyncio.run( @@ -439,7 +438,7 @@ def run_basic_search( query=query, ) ) - logger.success(f"Basic Search Response:\n{response}") + logger.info("Basic Search Response:\n%s", response) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -480,7 +479,7 @@ def on_context(context: Any) -> None: query=query, ) ) - logger.success(f"Basic Search Response:\n{response}") + logger.info("Basic Search Response:\n%s", response) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data diff --git a/graphrag/index/input/csv.py b/graphrag/index/input/csv.py index a178c419a2..d11c119279 100644 --- a/graphrag/index/input/csv.py +++ b/graphrag/index/input/csv.py @@ -10,7 +10,6 @@ from graphrag.config.models.input_config import InputConfig from graphrag.index.input.util import load_files, process_data_columns -from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) @@ -18,7 +17,7 @@ async def load_csv( config: InputConfig, - progress: ProgressLogger | None, + progress: logging.Logger | None, storage: PipelineStorage, ) -> pd.DataFrame: """Load csv inputs from a directory.""" diff --git a/graphrag/index/input/factory.py b/graphrag/index/input/factory.py index 08388f661a..603cc8fde8 100644 --- a/graphrag/index/input/factory.py +++ b/graphrag/index/input/factory.py @@ -15,8 +15,7 @@ from graphrag.index.input.csv import load_csv from graphrag.index.input.json import load_json from graphrag.index.input.text import load_text -from graphrag.logger.base import ProgressLogger -from graphrag.logger.standard_progress_logger import StandardProgressLogger +from graphrag.logger.standard_logging import get_logger from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage from graphrag.storage.file_pipeline_storage import FilePipelineStorage @@ -30,13 +29,13 @@ async def create_input( config: InputConfig, - progress_reporter: ProgressLogger | None = None, + progress_reporter: logging.Logger | None = None, root_dir: str | None = None, ) -> pd.DataFrame: """Instantiate input data for a pipeline.""" root_dir = root_dir or "" log.info("loading input from root_dir=%s", config.base_dir) - progress_reporter = progress_reporter or StandardProgressLogger("") + progress_reporter = progress_reporter or get_logger("graphrag.input") match config.type: case InputType.blob: @@ -68,11 +67,9 @@ async def create_input( ) if config.file_type in loaders: - progress = progress_reporter.child( - f"Loading Input ({config.file_type})", transient=False - ) + progress_reporter.info(f"Loading Input ({config.file_type})") loader = loaders[config.file_type] - result = await loader(config, progress, storage) + result = await loader(config, progress_reporter, storage) # Convert metadata columns to strings and collapse them into a JSON object if config.metadata: if all(col in result.columns for col in config.metadata): diff --git a/graphrag/index/input/json.py b/graphrag/index/input/json.py index fed19d31e1..fc36a6ceba 100644 --- a/graphrag/index/input/json.py +++ b/graphrag/index/input/json.py @@ -10,7 +10,6 @@ from graphrag.config.models.input_config import InputConfig from graphrag.index.input.util import load_files, process_data_columns -from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) @@ -18,7 +17,7 @@ async def load_json( config: InputConfig, - progress: ProgressLogger | None, + progress: logging.Logger | None, storage: PipelineStorage, ) -> pd.DataFrame: """Load json inputs from a directory.""" diff --git a/graphrag/index/input/text.py b/graphrag/index/input/text.py index 44e89ad01f..96f91a18e8 100644 --- a/graphrag/index/input/text.py +++ b/graphrag/index/input/text.py @@ -11,7 +11,6 @@ from graphrag.config.models.input_config import InputConfig from graphrag.index.input.util import load_files from graphrag.index.utils.hashing import gen_sha512_hash -from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) @@ -19,7 +18,7 @@ async def load_text( config: InputConfig, - progress: ProgressLogger | None, + progress: logging.Logger | None, storage: PipelineStorage, ) -> pd.DataFrame: """Load text inputs from a directory.""" diff --git a/graphrag/index/input/util.py b/graphrag/index/input/util.py index b8ab455022..e7d25fadb0 100644 --- a/graphrag/index/input/util.py +++ b/graphrag/index/input/util.py @@ -11,7 +11,6 @@ from graphrag.config.models.input_config import InputConfig from graphrag.index.utils.hashing import gen_sha512_hash -from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage log = logging.getLogger(__name__) @@ -21,7 +20,7 @@ async def load_files( loader: Any, config: InputConfig, storage: PipelineStorage, - progress: ProgressLogger | None, + progress: logging.Logger | None, ) -> pd.DataFrame: """Load files from storage and apply a loader function.""" files = list( diff --git a/graphrag/index/run/run_pipeline.py b/graphrag/index/run/run_pipeline.py index 65c41b7e64..37f1cd8d1a 100644 --- a/graphrag/index/run/run_pipeline.py +++ b/graphrag/index/run/run_pipeline.py @@ -21,8 +21,6 @@ from graphrag.index.typing.pipeline import Pipeline from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.index.update.incremental_index import get_delta_docs -from graphrag.logger.base import ProgressLogger -from graphrag.logger.progress import Progress from graphrag.storage.pipeline_storage import PipelineStorage from graphrag.utils.api import create_cache_from_config, create_storage_from_config from graphrag.utils.storage import load_table_from_storage, write_table_to_storage @@ -34,7 +32,7 @@ async def run_pipeline( pipeline: Pipeline, config: GraphRagConfig, callbacks: WorkflowCallbacks, - logger: ProgressLogger, + logger: logging.Logger, is_update_run: bool = False, ) -> AsyncIterable[PipelineRunResult]: """Run all workflows using a simplified pipeline.""" @@ -85,7 +83,7 @@ async def run_pipeline( ): yield table - logger.success("Finished running workflows on new documents.") + logger.info("Finished running workflows on new documents.") else: logger.info("Running standard indexing.") @@ -108,7 +106,7 @@ async def _run_pipeline( pipeline: Pipeline, config: GraphRagConfig, dataset: pd.DataFrame, - logger: ProgressLogger, + logger: logging.Logger, context: PipelineRunContext, ) -> AsyncIterable[PipelineRunResult]: start_time = time.time() @@ -123,11 +121,11 @@ async def _run_pipeline( for name, workflow_function in pipeline.run(): last_workflow = name - progress = logger.child(name, transient=False) + logger.info("Starting workflow: %s", name) context.callbacks.workflow_start(name, None) work_time = time.time() result = await workflow_function(config, context) - progress(Progress(percent=1)) + logger.info("Completed workflow: %s", name) context.callbacks.workflow_end(name, result) yield PipelineRunResult( workflow=name, result=result.result, state=context.state, errors=None diff --git a/graphrag/index/run/utils.py b/graphrag/index/run/utils.py index a5c2307439..6cbff68f13 100644 --- a/graphrag/index/run/utils.py +++ b/graphrag/index/run/utils.py @@ -6,14 +6,12 @@ from graphrag.cache.memory_pipeline_cache import InMemoryCache from graphrag.cache.pipeline_cache import PipelineCache from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks -from graphrag.callbacks.progress_workflow_callbacks import ProgressWorkflowCallbacks from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.callbacks.workflow_callbacks_manager import WorkflowCallbacksManager from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.state import PipelineState from graphrag.index.typing.stats import PipelineRunStats -from graphrag.logger.base import ProgressLogger from graphrag.storage.memory_pipeline_storage import MemoryPipelineStorage from graphrag.storage.pipeline_storage import PipelineStorage from graphrag.utils.api import create_storage_from_config @@ -37,14 +35,13 @@ def create_run_context( def create_callback_chain( - callbacks: list[WorkflowCallbacks] | None, progress: ProgressLogger | None + callbacks: list[WorkflowCallbacks] | None, ) -> WorkflowCallbacks: """Create a callback manager that encompasses multiple callbacks.""" manager = WorkflowCallbacksManager() for callback in callbacks or []: manager.register(callback) - if progress is not None: - manager.register(ProgressWorkflowCallbacks(progress)) + # Progress workflow callbacks removed - using standard logging instead return manager diff --git a/graphrag/logger/factory.py b/graphrag/logger/factory.py index c6912b74e1..3998adab00 100644 --- a/graphrag/logger/factory.py +++ b/graphrag/logger/factory.py @@ -3,10 +3,10 @@ """Factory functions for creating loggers.""" +import logging from typing import ClassVar -from graphrag.logger.base import ProgressLogger -from graphrag.logger.standard_progress_logger import StandardProgressLogger +from graphrag.logger.standard_logging import get_logger from graphrag.logger.types import LoggerType @@ -23,7 +23,7 @@ def register(cls, logger_type: str, logger: type): @classmethod def create_logger( cls, logger_type: LoggerType | str, kwargs: dict | None = None - ) -> ProgressLogger: + ) -> logging.Logger: """Create a logger based on the provided type.""" if kwargs is None: kwargs = {} @@ -33,7 +33,7 @@ def create_logger( logger_class = cls.logger_types[logger_type] return logger_class(**kwargs) - # All standard logger types now use the standard progress logger + # Return a standard Python logger # The visual differences (rich, print) are handled by the logging configuration - prefix = kwargs.get("prefix", "GraphRAG Indexer ") - return StandardProgressLogger(prefix) + logger_name = kwargs.get("name", "graphrag.progress") + return get_logger(logger_name) diff --git a/graphrag/logger/standard_progress_logger.py b/graphrag/logger/standard_progress_logger.py deleted file mode 100644 index 44d3f4fa82..0000000000 --- a/graphrag/logger/standard_progress_logger.py +++ /dev/null @@ -1,77 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Standard Progress Logger using Python's built-in logging module.""" - -import logging - -from graphrag.logger.base import Progress, ProgressLogger -from graphrag.logger.standard_logging import get_logger - - -class StandardProgressLogger(ProgressLogger): - """A progress logger that uses Python's standard logging module.""" - - _logger: logging.Logger - _prefix: str - - def __init__(self, prefix: str = ""): - """Initialize the standard progress logger. - - Parameters - ---------- - prefix : str - A prefix to add to all log messages - """ - self._prefix = prefix - self._logger = get_logger("graphrag.progress") - if prefix: - self._logger.info("%s", self._prefix) - - def __call__(self, update: Progress) -> None: - """Update progress. - - Note: This logs progress information but does not show visual progress bars. - """ - description = f" - {update.description}" if update.description else "" - - if update.completed_items is not None and update.total_items is not None: - progress_msg = f"{self._prefix}Progress{description}: {update.completed_items}/{update.total_items}" - elif update.percent is not None: - progress_msg = f"{self._prefix}Progress{description}: {update.percent:.1%}" - else: - progress_msg = f"{self._prefix}Progress{description}" - - self._logger.debug(progress_msg) - - def dispose(self) -> None: - """Dispose of the progress logger.""" - - def child(self, prefix: str, transient: bool = True) -> ProgressLogger: - """Create a child progress logger.""" - child_prefix = f"{self._prefix}{prefix}" - return StandardProgressLogger(child_prefix) - - def force_refresh(self) -> None: - """Force a refresh.""" - - def stop(self) -> None: - """Stop the progress logger.""" - if self._prefix: - self._logger.info("%s completed", self._prefix) - - def error(self, message: str) -> None: - """Log an error.""" - self._logger.error("%s%s", self._prefix, message) - - def warning(self, message: str) -> None: - """Log a warning.""" - self._logger.warning("%s%s", self._prefix, message) - - def info(self, message: str) -> None: - """Log information.""" - self._logger.info("%s%s", self._prefix, message) - - def success(self, message: str) -> None: - """Log success.""" - self._logger.info("%sSUCCESS: %s", self._prefix, message) diff --git a/graphrag/storage/blob_pipeline_storage.py b/graphrag/storage/blob_pipeline_storage.py index 04b971ca70..c4bdf05bb0 100644 --- a/graphrag/storage/blob_pipeline_storage.py +++ b/graphrag/storage/blob_pipeline_storage.py @@ -12,7 +12,6 @@ from azure.identity import DefaultAzureCredential from azure.storage.blob import BlobServiceClient -from graphrag.logger.base import ProgressLogger from graphrag.logger.progress import Progress from graphrag.storage.pipeline_storage import ( PipelineStorage, @@ -98,7 +97,7 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: ProgressLogger | None = None, + progress: logging.Logger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: @@ -160,8 +159,8 @@ def item_filter(item: dict[str, Any]) -> bool: else: num_filtered += 1 if progress is not None: - progress( - _create_progress_status(num_loaded, num_filtered, num_total) + progress.debug( + f"Blobs loaded: {num_loaded}, filtered: {num_filtered}, total: {num_total}" ) except Exception: log.exception( diff --git a/graphrag/storage/file_pipeline_storage.py b/graphrag/storage/file_pipeline_storage.py index 6c6bf95c53..620a5a0daf 100644 --- a/graphrag/storage/file_pipeline_storage.py +++ b/graphrag/storage/file_pipeline_storage.py @@ -16,7 +16,6 @@ from aiofiles.os import remove from aiofiles.ospath import exists -from graphrag.logger.base import ProgressLogger from graphrag.logger.progress import Progress from graphrag.storage.pipeline_storage import ( PipelineStorage, @@ -42,7 +41,7 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: ProgressLogger | None = None, + progress: logging.Logger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: @@ -78,7 +77,9 @@ def item_filter(item: dict[str, Any]) -> bool: else: num_filtered += 1 if progress is not None: - progress(_create_progress_status(num_loaded, num_filtered, num_total)) + progress.debug( + f"Files loaded: {num_loaded}, filtered: {num_filtered}, total: {num_total}" + ) async def get( self, key: str, as_bytes: bool | None = False, encoding: str | None = None From 8c6c1f61b2bdb9887487f032345124e53db63c97 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 23:40:08 +0000 Subject: [PATCH 11/88] Remove LoggerFactory and custom loggers, refactor to use standard logging Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../index_migration_to_v1.ipynb | 3 +- .../graph-visualization.ipynb | 6 +- graphrag/api/prompt_tune.py | 4 +- .../callbacks/progress_workflow_callbacks.py | 49 +++++++------ graphrag/cli/index.py | 18 ++--- graphrag/cli/initialize.py | 4 +- graphrag/cli/prompt_tune.py | 11 +-- graphrag/index/validate_config.py | 8 +-- graphrag/logger/base.py | 68 +------------------ graphrag/logger/console.py | 27 +------- graphrag/logger/factory.py | 38 +---------- graphrag/prompt_tune/loader/input.py | 5 +- graphrag/storage/cosmosdb_pipeline_storage.py | 3 +- graphrag/storage/pipeline_storage.py | 5 +- 14 files changed, 74 insertions(+), 175 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/api/prompt_tune.py b/graphrag/api/prompt_tune.py index c6dbb81df9..6030c1a86c 100644 --- a/graphrag/api/prompt_tune.py +++ b/graphrag/api/prompt_tune.py @@ -11,6 +11,7 @@ Backwards compatibility is not guaranteed at this time. """ +import logging from typing import Annotated import annotated_types @@ -20,7 +21,6 @@ from graphrag.config.defaults import graphrag_config_defaults from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.language_model.manager import ModelManager -from graphrag.logger.base import ProgressLogger from graphrag.prompt_tune.defaults import MAX_TOKEN_COUNT, PROMPT_TUNING_MODEL_ID from graphrag.prompt_tune.generator.community_report_rating import ( generate_community_report_rating, @@ -51,7 +51,7 @@ @validate_call(config={"arbitrary_types_allowed": True}) async def generate_indexing_prompts( config: GraphRagConfig, - logger: ProgressLogger, + logger: logging.Logger, root: str, chunk_size: PositiveInt = graphrag_config_defaults.chunks.size, overlap: Annotated[ diff --git a/graphrag/callbacks/progress_workflow_callbacks.py b/graphrag/callbacks/progress_workflow_callbacks.py index cff483187f..96977bf8cd 100644 --- a/graphrag/callbacks/progress_workflow_callbacks.py +++ b/graphrag/callbacks/progress_workflow_callbacks.py @@ -3,40 +3,51 @@ """A workflow callback manager that emits updates.""" +import logging + from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks -from graphrag.logger.base import ProgressLogger from graphrag.logger.progress import Progress class ProgressWorkflowCallbacks(NoopWorkflowCallbacks): - """A callbackmanager that delegates to a ProgressLogger.""" + """A callback manager that delegates to a standard Logger.""" - _root_progress: ProgressLogger - _progress_stack: list[ProgressLogger] + _logger: logging.Logger + _workflow_stack: list[str] - def __init__(self, progress: ProgressLogger) -> None: + def __init__(self, logger: logging.Logger) -> None: """Create a new ProgressWorkflowCallbacks.""" - self._progress = progress - self._progress_stack = [progress] - - def _pop(self) -> None: - self._progress_stack.pop() - - def _push(self, name: str) -> None: - self._progress_stack.append(self._latest.child(name)) + self._logger = logger + self._workflow_stack = [] - @property - def _latest(self) -> ProgressLogger: - return self._progress_stack[-1] + def _get_context(self) -> str: + """Get the current workflow context.""" + return ".".join(self._workflow_stack) if self._workflow_stack else "" def workflow_start(self, name: str, instance: object) -> None: """Execute this callback when a workflow starts.""" - self._push(name) + self._workflow_stack.append(name) + context = self._get_context() + self._logger.info("Starting workflow: %s", context) def workflow_end(self, name: str, instance: object) -> None: """Execute this callback when a workflow ends.""" - self._pop() + context = self._get_context() + self._logger.info("Completed workflow: %s", context) + if self._workflow_stack: + self._workflow_stack.pop() def progress(self, progress: Progress) -> None: """Handle when progress occurs.""" - self._latest(progress) + context = self._get_context() + if progress.description: + msg = f"[{context}] {progress.description}" + else: + msg = f"[{context}] Progress update" + + if progress.percent is not None: + msg += f" ({progress.percent:.1%})" + elif progress.completed_items is not None and progress.total_items is not None: + msg += f" ({progress.completed_items}/{progress.total_items})" + + self._logger.info(msg) diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index 0bb2bb4940..b3514a9de2 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -14,8 +14,8 @@ from graphrag.config.load_config import load_config from graphrag.config.logging import enable_logging_with_config from graphrag.index.validate_config import validate_config_names -from graphrag.logger.base import ProgressLogger -from graphrag.logger.factory import LoggerFactory, LoggerType +from graphrag.logger.standard_logging import get_logger +from graphrag.logger.types import LoggerType from graphrag.utils.cli import redact # Ignore warnings from numba @@ -24,7 +24,7 @@ log = logging.getLogger(__name__) -def _logger(logger: ProgressLogger): +def _logger_helper(logger: logging.Logger): def info(msg: str, verbose: bool = False): log.info(msg) if verbose: @@ -38,18 +38,17 @@ def error(msg: str, verbose: bool = False): def success(msg: str, verbose: bool = False): log.info(msg) if verbose: - logger.success(msg) + logger.info(msg) return info, error, success -def _register_signal_handlers(logger: ProgressLogger): +def _register_signal_handlers(logger: logging.Logger): import signal def handle_signal(signum, _): # Handle the signal here logger.info(f"Received signal {signum}, exiting...") # noqa: G004 - logger.dispose() for task in asyncio.all_tasks(): task.cancel() logger.info("All tasks cancelled. Exiting...") @@ -138,8 +137,10 @@ def _run_index( dry_run, skip_validation, ): - progress_logger = LoggerFactory().create_logger(logger) - info, error, success = _logger(progress_logger) + # logger parameter is kept for CLI compatibility but unused now (uses standard logging) + _ = logger # Suppress unused variable warning + progress_logger = get_logger("graphrag.cli.progress") + info, error, success = _logger_helper(progress_logger) if not cache: config.cache.type = CacheType.none @@ -181,7 +182,6 @@ def _run_index( output.errors and len(output.errors) > 0 for output in outputs ) - progress_logger.stop() if encountered_errors: error( "Errors occurred during the pipeline run, see logs for more details.", True diff --git a/graphrag/cli/initialize.py b/graphrag/cli/initialize.py index 1c57c55d65..47f6ce837f 100644 --- a/graphrag/cli/initialize.py +++ b/graphrag/cli/initialize.py @@ -6,7 +6,7 @@ from pathlib import Path from graphrag.config.init_content import INIT_DOTENV, INIT_YAML -from graphrag.logger.factory import LoggerFactory, LoggerType +from graphrag.logger.standard_logging import get_logger from graphrag.prompts.index.community_report import ( COMMUNITY_REPORT_PROMPT, ) @@ -48,7 +48,7 @@ def initialize_project_at(path: Path, force: bool) -> None: ValueError If the project already exists and force is False. """ - progress_logger = LoggerFactory().create_logger(LoggerType.RICH) + progress_logger = get_logger("graphrag.cli.initialize") progress_logger.info(f"Initializing project at {path}") # noqa: G004 root = Path(path) if not root.exists(): diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index fa07d0fb9a..9eec7517ef 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -6,10 +6,11 @@ from pathlib import Path import graphrag.api as api -from graphrag.cli.index import _logger +from graphrag.cli.index import _logger_helper from graphrag.config.load_config import load_config from graphrag.config.logging import enable_logging_with_config -from graphrag.logger.factory import LoggerFactory, LoggerType +from graphrag.logger.standard_logging import get_logger +from graphrag.logger.types import LoggerType from graphrag.prompt_tune.generator.community_report_summarization import ( COMMUNITY_SUMMARIZATION_FILENAME, ) @@ -70,8 +71,10 @@ async def prompt_tune( if overlap != graph_config.chunks.overlap: graph_config.chunks.overlap = overlap - progress_logger = LoggerFactory().create_logger(logger) - info, error, success = _logger(progress_logger) + # logger parameter is kept for CLI compatibility but unused now (uses standard logging) + _ = logger # Suppress unused variable warning + progress_logger = get_logger("graphrag.cli.prompt_tune") + info, error, success = _logger_helper(progress_logger) enabled_logging, log_path = enable_logging_with_config( graph_config, verbose, filename="prompt-tune.log" diff --git a/graphrag/index/validate_config.py b/graphrag/index/validate_config.py index 617a2944ed..2c1dfa5a0a 100644 --- a/graphrag/index/validate_config.py +++ b/graphrag/index/validate_config.py @@ -4,15 +4,15 @@ """A module containing validate_config_names definition.""" import asyncio +import logging import sys from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.language_model.manager import ModelManager -from graphrag.logger.base import ProgressLogger -def validate_config_names(logger: ProgressLogger, parameters: GraphRagConfig) -> None: +def validate_config_names(logger: logging.Logger, parameters: GraphRagConfig) -> None: """Validate config file for LLM deployment name typos.""" # Validate Chat LLM configs # TODO: Replace default_chat_model with a way to select the model @@ -28,7 +28,7 @@ def validate_config_names(logger: ProgressLogger, parameters: GraphRagConfig) -> try: asyncio.run(llm.achat("This is an LLM connectivity test. Say Hello World")) - logger.success("LLM Config Params Validated") + logger.info("LLM Config Params Validated") except Exception as e: # noqa: BLE001 logger.error(f"LLM configuration error detected. Exiting...\n{e}") # noqa sys.exit(1) @@ -48,7 +48,7 @@ def validate_config_names(logger: ProgressLogger, parameters: GraphRagConfig) -> try: asyncio.run(embed_llm.aembed_batch(["This is an LLM Embedding Test String"])) - logger.success("Embedding LLM Config Params Validated") + logger.info("Embedding LLM Config Params Validated") except Exception as e: # noqa: BLE001 logger.error(f"Embedding LLM configuration error detected. Exiting...\n{e}") # noqa sys.exit(1) diff --git a/graphrag/logger/base.py b/graphrag/logger/base.py index 73b5668552..ea6ff70190 100644 --- a/graphrag/logger/base.py +++ b/graphrag/logger/base.py @@ -1,69 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Base classes for logging and progress reporting.""" +"""Base classes for logging and progress reporting - deprecated, use standard logging module instead.""" -from abc import ABC, abstractmethod -from typing import Any - -from graphrag.logger.progress import Progress - - -class StatusLogger(ABC): - """Provides a way to log status updates from the pipeline.""" - - @abstractmethod - def error(self, message: str, details: dict[str, Any] | None = None): - """Log an error.""" - - @abstractmethod - def warning(self, message: str, details: dict[str, Any] | None = None): - """Log a warning.""" - - @abstractmethod - def log(self, message: str, details: dict[str, Any] | None = None): - """Report a log.""" - - -class ProgressLogger(ABC): - """ - Abstract base class for progress loggers. - - This is used to report workflow processing progress via mechanisms like progress-bars. - """ - - @abstractmethod - def __call__(self, update: Progress): - """Update progress.""" - - @abstractmethod - def dispose(self): - """Dispose of the progress logger.""" - - @abstractmethod - def child(self, prefix: str, transient=True) -> "ProgressLogger": - """Create a child progress bar.""" - - @abstractmethod - def force_refresh(self) -> None: - """Force a refresh.""" - - @abstractmethod - def stop(self) -> None: - """Stop the progress logger.""" - - @abstractmethod - def error(self, message: str) -> None: - """Log an error.""" - - @abstractmethod - def warning(self, message: str) -> None: - """Log a warning.""" - - @abstractmethod - def info(self, message: str) -> None: - """Log information.""" - - @abstractmethod - def success(self, message: str) -> None: - """Log success.""" +# This module is kept for backwards compatibility but is deprecated. +# Use the standard Python logging module instead. diff --git a/graphrag/logger/console.py b/graphrag/logger/console.py index 3388ba77b2..2858d45b15 100644 --- a/graphrag/logger/console.py +++ b/graphrag/logger/console.py @@ -1,28 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Console Log.""" +"""Console Log - deprecated, use standard logging module instead.""" -from typing import Any - -from graphrag.logger.base import StatusLogger - - -class ConsoleReporter(StatusLogger): - """A logger that writes to a console.""" - - def error(self, message: str, details: dict[str, Any] | None = None): - """Log an error.""" - print(message, details) # noqa T201 - - def warning(self, message: str, details: dict[str, Any] | None = None): - """Log a warning.""" - _print_warning(message) - - def log(self, message: str, details: dict[str, Any] | None = None): - """Log a log.""" - print(message, details) # noqa T201 - - -def _print_warning(skk): - print(f"\033[93m {skk}\033[00m") # noqa T201 +# This module is kept for backwards compatibility but is deprecated. +# Use the standard Python logging module instead. diff --git a/graphrag/logger/factory.py b/graphrag/logger/factory.py index 3998adab00..f3c8f3ce08 100644 --- a/graphrag/logger/factory.py +++ b/graphrag/logger/factory.py @@ -1,39 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Factory functions for creating loggers.""" +"""Factory functions for creating loggers - deprecated, use standard logging module instead.""" -import logging -from typing import ClassVar - -from graphrag.logger.standard_logging import get_logger -from graphrag.logger.types import LoggerType - - -class LoggerFactory: - """A factory class for loggers.""" - - logger_types: ClassVar[dict[str, type]] = {} - - @classmethod - def register(cls, logger_type: str, logger: type): - """Register a custom logger implementation.""" - cls.logger_types[logger_type] = logger - - @classmethod - def create_logger( - cls, logger_type: LoggerType | str, kwargs: dict | None = None - ) -> logging.Logger: - """Create a logger based on the provided type.""" - if kwargs is None: - kwargs = {} - - # Check if a custom logger type was registered - if isinstance(logger_type, str) and logger_type in cls.logger_types: - logger_class = cls.logger_types[logger_type] - return logger_class(**kwargs) - - # Return a standard Python logger - # The visual differences (rich, print) are handled by the logging configuration - logger_name = kwargs.get("name", "graphrag.progress") - return get_logger(logger_name) +# This module is kept for backwards compatibility but is deprecated. +# Use the standard Python logging module and graphrag.logger.standard_logging instead. diff --git a/graphrag/prompt_tune/loader/input.py b/graphrag/prompt_tune/loader/input.py index fa49ebeeb9..e6e9508301 100644 --- a/graphrag/prompt_tune/loader/input.py +++ b/graphrag/prompt_tune/loader/input.py @@ -3,6 +3,8 @@ """Input loading module.""" +import logging + import numpy as np import pandas as pd @@ -14,7 +16,6 @@ run as run_embed_text, ) from graphrag.index.workflows.create_base_text_units import create_base_text_units -from graphrag.logger.base import ProgressLogger from graphrag.prompt_tune.defaults import ( LIMIT, N_SUBSET_MAX, @@ -41,7 +42,7 @@ async def load_docs_in_chunks( config: GraphRagConfig, select_method: DocSelectionType, limit: int, - logger: ProgressLogger, + logger: logging.Logger, chunk_size: int, overlap: int, n_subset_max: int = N_SUBSET_MAX, diff --git a/graphrag/storage/cosmosdb_pipeline_storage.py b/graphrag/storage/cosmosdb_pipeline_storage.py index 63d95d17d3..5b01dc1813 100644 --- a/graphrag/storage/cosmosdb_pipeline_storage.py +++ b/graphrag/storage/cosmosdb_pipeline_storage.py @@ -17,7 +17,6 @@ from azure.cosmos.partition_key import PartitionKey from azure.identity import DefaultAzureCredential -from graphrag.logger.base import ProgressLogger from graphrag.logger.progress import Progress from graphrag.storage.pipeline_storage import ( PipelineStorage, @@ -117,7 +116,7 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: ProgressLogger | None = None, + progress: logging.Logger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: diff --git a/graphrag/storage/pipeline_storage.py b/graphrag/storage/pipeline_storage.py index a1c651fe49..46b4255ebf 100644 --- a/graphrag/storage/pipeline_storage.py +++ b/graphrag/storage/pipeline_storage.py @@ -3,14 +3,13 @@ """A module containing 'PipelineStorage' model.""" +import logging import re from abc import ABCMeta, abstractmethod from collections.abc import Iterator from datetime import datetime from typing import Any -from graphrag.logger.base import ProgressLogger - class PipelineStorage(metaclass=ABCMeta): """Provide a storage interface for the pipeline. This is where the pipeline will store its output data.""" @@ -20,7 +19,7 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: ProgressLogger | None = None, + progress: logging.Logger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: From 16b9eb74aa67dd3887bb34bba7c973910e2f06ba Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 30 May 2025 23:53:58 +0000 Subject: [PATCH 12/88] Fix pyright error: use logger.info() instead of calling logger as function in cosmosdb_pipeline_storage.py Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/storage/cosmosdb_pipeline_storage.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/graphrag/storage/cosmosdb_pipeline_storage.py b/graphrag/storage/cosmosdb_pipeline_storage.py index 5b01dc1813..ba4108dfe0 100644 --- a/graphrag/storage/cosmosdb_pipeline_storage.py +++ b/graphrag/storage/cosmosdb_pipeline_storage.py @@ -184,8 +184,14 @@ def item_filter(item: dict[str, Any]) -> bool: else: num_filtered += 1 if progress is not None: - progress( - _create_progress_status(num_loaded, num_filtered, num_total) + progress_status = _create_progress_status( + num_loaded, num_filtered, num_total + ) + progress.info( + "Progress: %s (%d/%d completed)", + progress_status.description, + progress_status.completed_items, + progress_status.total_items, ) except Exception: log.exception( From 09c32aeb1b19079621ddc82dfee50269c3c9e172 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 30 May 2025 20:03:31 -0400 Subject: [PATCH 13/88] ruff fixes --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From 948c7d1107fd9ee4ef27a605313f48bd56997a5f Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 00:23:28 +0000 Subject: [PATCH 14/88] Remove deprecated logger files that were marked as deprecated placeholders Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/logger/base.py | 7 ------- graphrag/logger/console.py | 7 ------- graphrag/logger/factory.py | 7 ------- 3 files changed, 21 deletions(-) delete mode 100644 graphrag/logger/base.py delete mode 100644 graphrag/logger/console.py delete mode 100644 graphrag/logger/factory.py diff --git a/graphrag/logger/base.py b/graphrag/logger/base.py deleted file mode 100644 index ea6ff70190..0000000000 --- a/graphrag/logger/base.py +++ /dev/null @@ -1,7 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Base classes for logging and progress reporting - deprecated, use standard logging module instead.""" - -# This module is kept for backwards compatibility but is deprecated. -# Use the standard Python logging module instead. diff --git a/graphrag/logger/console.py b/graphrag/logger/console.py deleted file mode 100644 index 2858d45b15..0000000000 --- a/graphrag/logger/console.py +++ /dev/null @@ -1,7 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Console Log - deprecated, use standard logging module instead.""" - -# This module is kept for backwards compatibility but is deprecated. -# Use the standard Python logging module instead. diff --git a/graphrag/logger/factory.py b/graphrag/logger/factory.py deleted file mode 100644 index f3c8f3ce08..0000000000 --- a/graphrag/logger/factory.py +++ /dev/null @@ -1,7 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Factory functions for creating loggers - deprecated, use standard logging module instead.""" - -# This module is kept for backwards compatibility but is deprecated. -# Use the standard Python logging module and graphrag.logger.standard_logging instead. From de7afafb5ee3d011afac0c67e81798d5465f4235 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 06:04:25 +0000 Subject: [PATCH 15/88] Replace custom get_logger with standard Python logging Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../index_migration_to_v1.ipynb | 3 +- .../graph-visualization.ipynb | 6 ++-- graphrag/__init__.py | 9 ++++++ graphrag/api/index.py | 3 +- graphrag/api/query.py | 6 ++-- graphrag/cli/index.py | 3 +- graphrag/cli/initialize.py | 4 +-- graphrag/cli/prompt_tune.py | 4 +-- graphrag/cli/query.py | 6 ++-- graphrag/index/input/factory.py | 3 +- graphrag/logger/standard_logging.py | 32 +++---------------- tests/unit/logger/test_standard_logging.py | 17 +++++----- 12 files changed, 40 insertions(+), 56 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/__init__.py b/graphrag/__init__.py index a1e9b589bf..a7cdac2eae 100644 --- a/graphrag/__init__.py +++ b/graphrag/__init__.py @@ -2,3 +2,12 @@ # Licensed under the MIT License """The GraphRAG package.""" + +import logging + +# Configure the graphrag root logger with a default handler +# This ensures that the logger hierarchy is set up correctly +_root_logger = logging.getLogger("graphrag") +if not _root_logger.handlers: + # Add a NullHandler to prevent unconfigured logger warnings + _root_logger.addHandler(logging.NullHandler()) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 8afec9cc38..b7dc77b3e0 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -19,10 +19,9 @@ from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.index.typing.workflow import WorkflowFunction from graphrag.index.workflows.factory import PipelineFactory -from graphrag.logger.standard_logging import get_logger log = logging.getLogger(__name__) -logger = get_logger("graphrag.indexing") +logger = logging.getLogger("graphrag.indexing") async def build_index( diff --git a/graphrag/api/query.py b/graphrag/api/query.py index 43abacfb78..0fff3da4b8 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -17,6 +17,7 @@ Backwards compatibility is not guaranteed at this time. """ +import logging from collections.abc import AsyncGenerator from typing import Any @@ -31,7 +32,6 @@ text_unit_text_embedding, ) from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.logger.standard_logging import get_logger from graphrag.query.factory import ( get_basic_search_engine, get_drift_search_engine, @@ -55,8 +55,8 @@ from graphrag.utils.cli import redact # Initialize standard logger -log = get_logger(__name__) -logger = get_logger("graphrag.query") +log = logging.getLogger(__name__) +logger = logging.getLogger("graphrag.query") @validate_call(config={"arbitrary_types_allowed": True}) diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index b3514a9de2..e556e53b86 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -14,7 +14,6 @@ from graphrag.config.load_config import load_config from graphrag.config.logging import enable_logging_with_config from graphrag.index.validate_config import validate_config_names -from graphrag.logger.standard_logging import get_logger from graphrag.logger.types import LoggerType from graphrag.utils.cli import redact @@ -139,7 +138,7 @@ def _run_index( ): # logger parameter is kept for CLI compatibility but unused now (uses standard logging) _ = logger # Suppress unused variable warning - progress_logger = get_logger("graphrag.cli.progress") + progress_logger = logging.getLogger("graphrag.cli.progress") info, error, success = _logger_helper(progress_logger) if not cache: diff --git a/graphrag/cli/initialize.py b/graphrag/cli/initialize.py index 47f6ce837f..8eab4271e1 100644 --- a/graphrag/cli/initialize.py +++ b/graphrag/cli/initialize.py @@ -3,10 +3,10 @@ """CLI implementation of the initialization subcommand.""" +import logging from pathlib import Path from graphrag.config.init_content import INIT_DOTENV, INIT_YAML -from graphrag.logger.standard_logging import get_logger from graphrag.prompts.index.community_report import ( COMMUNITY_REPORT_PROMPT, ) @@ -48,7 +48,7 @@ def initialize_project_at(path: Path, force: bool) -> None: ValueError If the project already exists and force is False. """ - progress_logger = get_logger("graphrag.cli.initialize") + progress_logger = logging.getLogger("graphrag.cli.initialize") progress_logger.info(f"Initializing project at {path}") # noqa: G004 root = Path(path) if not root.exists(): diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index 9eec7517ef..516668a9d2 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -3,13 +3,13 @@ """CLI implementation of the prompt-tune subcommand.""" +import logging from pathlib import Path import graphrag.api as api from graphrag.cli.index import _logger_helper from graphrag.config.load_config import load_config from graphrag.config.logging import enable_logging_with_config -from graphrag.logger.standard_logging import get_logger from graphrag.logger.types import LoggerType from graphrag.prompt_tune.generator.community_report_summarization import ( COMMUNITY_SUMMARIZATION_FILENAME, @@ -73,7 +73,7 @@ async def prompt_tune( # logger parameter is kept for CLI compatibility but unused now (uses standard logging) _ = logger # Suppress unused variable warning - progress_logger = get_logger("graphrag.cli.prompt_tune") + progress_logger = logging.getLogger("graphrag.cli.prompt_tune") info, error, success = _logger_helper(progress_logger) enabled_logging, log_path = enable_logging_with_config( diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index b974980634..925a965319 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -4,6 +4,7 @@ """CLI implementation of the query subcommand.""" import asyncio +import logging import sys from pathlib import Path from typing import TYPE_CHECKING, Any @@ -12,7 +13,6 @@ from graphrag.callbacks.noop_query_callbacks import NoopQueryCallbacks from graphrag.config.load_config import load_config from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.logger.standard_logging import get_logger from graphrag.utils.api import create_storage_from_config from graphrag.utils.storage import load_table_from_storage, storage_has_table @@ -20,8 +20,8 @@ import pandas as pd # Initialize standard logger -log = get_logger(__name__) -logger = get_logger("graphrag.cli.query") +log = logging.getLogger(__name__) +logger = logging.getLogger("graphrag.cli.query") def run_global_search( diff --git a/graphrag/index/input/factory.py b/graphrag/index/input/factory.py index 603cc8fde8..cf2273beaf 100644 --- a/graphrag/index/input/factory.py +++ b/graphrag/index/input/factory.py @@ -15,7 +15,6 @@ from graphrag.index.input.csv import load_csv from graphrag.index.input.json import load_json from graphrag.index.input.text import load_text -from graphrag.logger.standard_logging import get_logger from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage from graphrag.storage.file_pipeline_storage import FilePipelineStorage @@ -35,7 +34,7 @@ async def create_input( """Instantiate input data for a pipeline.""" root_dir = root_dir or "" log.info("loading input from root_dir=%s", config.base_dir) - progress_reporter = progress_reporter or get_logger("graphrag.input") + progress_reporter = progress_reporter or logging.getLogger("graphrag.input") match config.type: case InputType.blob: diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 747ca4769b..4eee8e882b 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -12,8 +12,8 @@ configure_logging(log_level="INFO", log_file="/path/to/app.log") # Then throughout your code: - from graphrag.logger.standard_logging import get_logger - logger = get_logger(__name__) # Typically pass __name__ to get module-specific logger + import logging + logger = logging.getLogger(__name__) # Use standard logging # Use standard logging methods: logger.debug("Debug message") @@ -25,9 +25,9 @@ Notes ----- The logging system is hierarchical. Loggers are organized in a tree structure, - with the root logger named 'graphrag'. All loggers created by get_logger() will - be children of this root logger. This allows for consistent configuration of all - graphrag-related logs throughout the application. + with the root logger named 'graphrag'. All loggers created with names starting + with 'graphrag.' will be children of this root logger. This allows for consistent + configuration of all graphrag-related logs throughout the application. All progress logging now uses this standard logging system for consistency. """ @@ -90,25 +90,3 @@ def configure_logging( # Prevent propagation to root logger to avoid duplicate logging logger.propagate = False - - -def get_logger(name: str) -> logging.Logger: - """Get a logger with the given name. - - This function returns a logger that is a child of the 'graphrag' logger. - - Parameters - ---------- - name : str - The name of the logger, usually __name__ - - Returns - ------- - logging.Logger - A logger instance - """ - # Ensure the name has 'graphrag' prefix for proper hierarchy - if not name.startswith("graphrag.") and name != "graphrag": - name = "graphrag.main" if name == "__main__" else f"graphrag.{name}" - - return logging.getLogger(name) diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index f5b2f79566..6e4c8ed614 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -7,14 +7,13 @@ import tempfile from pathlib import Path -from graphrag.logger.standard_logging import configure_logging, get_logger +from graphrag.logger.standard_logging import configure_logging -def test_logger_name_formatting(): - """Test the logger name gets formatted correctly.""" - assert get_logger("test").name == "graphrag.test" - assert get_logger("graphrag.test").name == "graphrag.test" - assert get_logger("__main__").name == "graphrag.main" +def test_standard_logging(): + """Test that standard logging works.""" + logger = logging.getLogger("graphrag.test") + assert logger.name == "graphrag.test" def test_file_logging(): @@ -26,7 +25,7 @@ def test_file_logging(): configure_logging(log_file=log_file) # Get a logger and log some messages - logger = get_logger("test") + logger = logging.getLogger("graphrag.test") test_message = "Test file logging message" logger.info(test_message) @@ -42,8 +41,8 @@ def test_logger_hierarchy(): # Reset logging to default state configure_logging() - root_logger = get_logger("graphrag") - child_logger = get_logger("graphrag.child") + root_logger = logging.getLogger("graphrag") + child_logger = logging.getLogger("graphrag.child") # Setting level on root should affect children root_logger.setLevel(logging.ERROR) From e42e7d20d9ce1c016f896ac6bdc847d60d1c05da Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 06:16:02 +0000 Subject: [PATCH 16/88] Fix linting issues found by ruff check --fix Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/config/defaults.py | 28 ++++++++++--------- graphrag/language_model/manager.py | 4 ++- graphrag/storage/cosmosdb_pipeline_storage.py | 2 +- 3 files changed, 19 insertions(+), 15 deletions(-) diff --git a/graphrag/config/defaults.py b/graphrag/config/defaults.py index 0379f110fa..f93670fe37 100644 --- a/graphrag/config/defaults.py +++ b/graphrag/config/defaults.py @@ -5,7 +5,7 @@ from dataclasses import dataclass, field from pathlib import Path -from typing import Literal +from typing import ClassVar, Literal from graphrag.config.embeddings import default_embeddings from graphrag.config.enums import ( @@ -55,7 +55,7 @@ class BasicSearchDefaults: class CacheDefaults: """Default values for cache.""" - type = CacheType.file + type: ClassVar[CacheType] = CacheType.file base_dir: str = "cache" connection_string: None = None container_name: None = None @@ -70,7 +70,7 @@ class ChunksDefaults: size: int = 1200 overlap: int = 100 group_by_columns: list[str] = field(default_factory=lambda: ["id"]) - strategy = ChunkStrategyType.tokens + strategy: ClassVar[ChunkStrategyType] = ChunkStrategyType.tokens encoding_model: str = "cl100k_base" prepend_metadata: bool = False chunk_size_includes_metadata: bool = False @@ -120,8 +120,8 @@ class DriftSearchDefaults: local_search_temperature: float = 0 local_search_top_p: float = 1 local_search_n: int = 1 - local_search_llm_max_gen_tokens = None - local_search_llm_max_gen_completion_tokens = None + local_search_llm_max_gen_tokens: ClassVar[None] = None + local_search_llm_max_gen_completion_tokens: ClassVar[None] = None chat_model_id: str = DEFAULT_CHAT_MODEL_ID embedding_model_id: str = DEFAULT_EMBEDDING_MODEL_ID @@ -184,7 +184,9 @@ class ExtractGraphDefaults: class TextAnalyzerDefaults: """Default values for text analyzer.""" - extractor_type = NounPhraseExtractorType.RegexEnglish + extractor_type: ClassVar[NounPhraseExtractorType] = ( + NounPhraseExtractorType.RegexEnglish + ) model_name: str = "en_core_web_md" max_word_length: int = 15 word_delimiter: str = " " @@ -238,8 +240,8 @@ class GlobalSearchDefaults: class InputDefaults: """Default values for input.""" - type = InputType.file - file_type = InputFileType.text + type: ClassVar[InputType] = InputType.file + file_type: ClassVar[InputFileType] = InputFileType.text base_dir: str = "input" connection_string: None = None storage_account_blob_url: None = None @@ -257,7 +259,7 @@ class LanguageModelDefaults: """Default values for language model.""" api_key: None = None - auth_type = AuthType.APIKey + auth_type: ClassVar[AuthType] = AuthType.APIKey encoding_model: str = "" max_tokens: int | None = None temperature: float = 0 @@ -304,7 +306,7 @@ class LocalSearchDefaults: class OutputDefaults: """Default values for output.""" - type = OutputType.file + type: ClassVar[OutputType] = OutputType.file base_dir: str = DEFAULT_OUTPUT_BASE_DIR connection_string: None = None container_name: None = None @@ -329,7 +331,7 @@ class PruneGraphDefaults: class ReportingDefaults: """Default values for reporting.""" - type = ReportingType.file + type: ClassVar[ReportingType] = ReportingType.file base_dir: str = "logs" connection_string: None = None container_name: None = None @@ -367,7 +369,7 @@ class UmapDefaults: class UpdateIndexOutputDefaults: """Default values for update index output.""" - type = OutputType.file + type: ClassVar[OutputType] = OutputType.file base_dir: str = "update_output" connection_string: None = None container_name: None = None @@ -378,7 +380,7 @@ class UpdateIndexOutputDefaults: class VectorStoreDefaults: """Default values for vector stores.""" - type = VectorStoreType.LanceDB.value + type: ClassVar[str] = VectorStoreType.LanceDB.value db_uri: str = str(Path(DEFAULT_OUTPUT_BASE_DIR) / "lancedb") container_name: str = "default" overwrite: bool = True diff --git a/graphrag/language_model/manager.py b/graphrag/language_model/manager.py index ebcce8eb4e..e541f980f1 100644 --- a/graphrag/language_model/manager.py +++ b/graphrag/language_model/manager.py @@ -11,6 +11,8 @@ from typing import TYPE_CHECKING, Any, ClassVar +from typing_extensions import Self + from graphrag.language_model.factory import ModelFactory if TYPE_CHECKING: @@ -22,7 +24,7 @@ class ModelManager: _instance: ClassVar[ModelManager | None] = None - def __new__(cls) -> ModelManager: # noqa: PYI034: False positive + def __new__(cls) -> Self: """Create a new instance of LLMManager if it does not exist.""" if cls._instance is None: cls._instance = super().__new__(cls) diff --git a/graphrag/storage/cosmosdb_pipeline_storage.py b/graphrag/storage/cosmosdb_pipeline_storage.py index ba4108dfe0..9815809414 100644 --- a/graphrag/storage/cosmosdb_pipeline_storage.py +++ b/graphrag/storage/cosmosdb_pipeline_storage.py @@ -251,7 +251,7 @@ async def set(self, key: str, value: Any, encoding: str | None = None) -> None: orient="records", lines=False, force_ascii=False ) if value_json is None: - log.exception("Error converting output %s to json", key) + log.error("Error converting output %s to json", key) else: cosmosdb_item_list = json.loads(value_json) for index, cosmosdb_item in enumerate(cosmosdb_item_list): From a48f5975247a1b673c3b71adfbb4f80647fc851a Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Sat, 31 May 2025 02:25:20 -0400 Subject: [PATCH 17/88] apply ruff check fixes --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From ca0b6a4220e4cb9c3b68f5ecef81a12cff01a15e Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Sat, 31 May 2025 02:28:38 -0400 Subject: [PATCH 18/88] add word to dictionary --- dictionary.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/dictionary.txt b/dictionary.txt index a1210f6ff4..8c50e615f7 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -186,6 +186,7 @@ Verdantis's # English skippable upvote +unconfigured # Misc Arxiv From 1eb008caafd4aa43887bce35abc2ec9438e5536a Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 06:35:14 +0000 Subject: [PATCH 19/88] Fix type checker error in ModelManager.__new__ method Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/language_model/manager.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/graphrag/language_model/manager.py b/graphrag/language_model/manager.py index e541f980f1..22a09f00ae 100644 --- a/graphrag/language_model/manager.py +++ b/graphrag/language_model/manager.py @@ -28,7 +28,7 @@ def __new__(cls) -> Self: """Create a new instance of LLMManager if it does not exist.""" if cls._instance is None: cls._instance = super().__new__(cls) - return cls._instance + return cls._instance # type: ignore[return-value] def __init__(self) -> None: # Avoid reinitialization in the singleton. From f56ed09d86a983617fd271dd7ca03902325177ee Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 10:21:09 +0000 Subject: [PATCH 20/88] Refactor multiple logging.getLogger() calls to use single logger per file Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/api/index.py | 5 ++--- graphrag/api/query.py | 3 +-- graphrag/cli/index.py | 24 ++++++++++++------------ graphrag/cli/query.py | 3 +-- graphrag/index/input/factory.py | 12 ++++++------ 5 files changed, 22 insertions(+), 25 deletions(-) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index b7dc77b3e0..f88181d0e5 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -20,8 +20,7 @@ from graphrag.index.typing.workflow import WorkflowFunction from graphrag.index.workflows.factory import PipelineFactory -log = logging.getLogger(__name__) -logger = logging.getLogger("graphrag.indexing") +logger = logging.getLogger(__name__) async def build_index( @@ -62,7 +61,7 @@ async def build_index( outputs: list[PipelineRunResult] = [] if memory_profile: - log.warning("New pipeline does not yet support memory profiling.") + logger.warning("New pipeline does not yet support memory profiling.") pipeline = PipelineFactory.create_pipeline(config, method, is_update_run) diff --git a/graphrag/api/query.py b/graphrag/api/query.py index 0fff3da4b8..1fabb1c441 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -55,8 +55,7 @@ from graphrag.utils.cli import redact # Initialize standard logger -log = logging.getLogger(__name__) -logger = logging.getLogger("graphrag.query") +logger = logging.getLogger(__name__) @validate_call(config={"arbitrary_types_allowed": True}) diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index e556e53b86..f0eb6445d6 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -20,37 +20,37 @@ # Ignore warnings from numba warnings.filterwarnings("ignore", message=".*NumbaDeprecationWarning.*") -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) -def _logger_helper(logger: logging.Logger): +def _logger_helper(progress_logger: logging.Logger): def info(msg: str, verbose: bool = False): - log.info(msg) + logger.info(msg) if verbose: - logger.info(msg) + progress_logger.info(msg) def error(msg: str, verbose: bool = False): - log.error(msg) + logger.error(msg) if verbose: - logger.error(msg) + progress_logger.error(msg) def success(msg: str, verbose: bool = False): - log.info(msg) + logger.info(msg) if verbose: - logger.info(msg) + progress_logger.info(msg) return info, error, success -def _register_signal_handlers(logger: logging.Logger): +def _register_signal_handlers(progress_logger: logging.Logger): import signal def handle_signal(signum, _): # Handle the signal here - logger.info(f"Received signal {signum}, exiting...") # noqa: G004 + progress_logger.info(f"Received signal {signum}, exiting...") # noqa: G004 for task in asyncio.all_tasks(): task.cancel() - logger.info("All tasks cancelled. Exiting...") + progress_logger.info("All tasks cancelled. Exiting...") # Register signal handlers for SIGINT and SIGHUP signal.signal(signal.SIGINT, handle_signal) @@ -138,7 +138,7 @@ def _run_index( ): # logger parameter is kept for CLI compatibility but unused now (uses standard logging) _ = logger # Suppress unused variable warning - progress_logger = logging.getLogger("graphrag.cli.progress") + progress_logger = logging.getLogger(__name__).getChild("progress") info, error, success = _logger_helper(progress_logger) if not cache: diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index 925a965319..3d80ada1d3 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -20,8 +20,7 @@ import pandas as pd # Initialize standard logger -log = logging.getLogger(__name__) -logger = logging.getLogger("graphrag.cli.query") +logger = logging.getLogger(__name__) def run_global_search( diff --git a/graphrag/index/input/factory.py b/graphrag/index/input/factory.py index cf2273beaf..3f82cac612 100644 --- a/graphrag/index/input/factory.py +++ b/graphrag/index/input/factory.py @@ -18,7 +18,7 @@ from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage from graphrag.storage.file_pipeline_storage import FilePipelineStorage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) loaders: dict[str, Callable[..., Awaitable[pd.DataFrame]]] = { InputFileType.text: load_text, InputFileType.csv: load_csv, @@ -33,12 +33,12 @@ async def create_input( ) -> pd.DataFrame: """Instantiate input data for a pipeline.""" root_dir = root_dir or "" - log.info("loading input from root_dir=%s", config.base_dir) - progress_reporter = progress_reporter or logging.getLogger("graphrag.input") + logger.info("loading input from root_dir=%s", config.base_dir) + progress_reporter = progress_reporter or logger match config.type: case InputType.blob: - log.info("using blob storage input") + logger.info("using blob storage input") if config.container_name is None: msg = "Container name required for blob storage" raise ValueError(msg) @@ -55,12 +55,12 @@ async def create_input( path_prefix=config.base_dir, ) case InputType.file: - log.info("using file storage for input") + logger.info("using file storage for input") storage = FilePipelineStorage( root_dir=str(Path(root_dir) / (config.base_dir or "")) ) case _: - log.info("using file storage for input") + logger.info("using file storage for input") storage = FilePipelineStorage( root_dir=str(Path(root_dir) / (config.base_dir or "")) ) From a168501c95278a8df3591b75f4896a75a9c28f04 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 10:40:23 +0000 Subject: [PATCH 21/88] Remove progress_logger parameter from build_index() and logger parameter from generate_indexing_prompts() Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 ++- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- graphrag/api/index.py | 12 ++++-------- graphrag/api/prompt_tune.py | 4 ++-- graphrag/cli/index.py | 1 - graphrag/cli/prompt_tune.py | 1 - 6 files changed, 11 insertions(+), 16 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/api/index.py b/graphrag/api/index.py index f88181d0e5..c8a684d440 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -29,7 +29,6 @@ async def build_index( is_update_run: bool = False, memory_profile: bool = False, callbacks: list[WorkflowCallbacks] | None = None, - progress_logger: logging.Logger | None = None, ) -> list[PipelineRunResult]: """Run the pipeline with the given configuration. @@ -43,15 +42,12 @@ async def build_index( Whether to enable memory profiling. callbacks : list[WorkflowCallbacks] | None default=None A list of callbacks to register. - progress_logger : logging.Logger | None default=None - The progress logger. Returns ------- list[PipelineRunResult] The list of pipeline run results """ - used_logger = progress_logger or logger # create a pipeline reporter and add to any additional callbacks callbacks = callbacks or [] callbacks.append(create_pipeline_reporter(config.reporting, None)) @@ -71,15 +67,15 @@ async def build_index( pipeline, config, callbacks=workflow_callbacks, - logger=used_logger, + logger=logger, is_update_run=is_update_run, ): outputs.append(output) if output.errors and len(output.errors) > 0: - used_logger.error("Workflow %s completed with errors", output.workflow) + logger.error("Workflow %s completed with errors", output.workflow) else: - used_logger.info("Workflow %s completed successfully", output.workflow) - used_logger.info(str(output.result)) + logger.info("Workflow %s completed successfully", output.workflow) + logger.info(str(output.result)) workflow_callbacks.pipeline_end(outputs) return outputs diff --git a/graphrag/api/prompt_tune.py b/graphrag/api/prompt_tune.py index 6030c1a86c..ef10208dba 100644 --- a/graphrag/api/prompt_tune.py +++ b/graphrag/api/prompt_tune.py @@ -47,11 +47,12 @@ from graphrag.prompt_tune.loader.input import load_docs_in_chunks from graphrag.prompt_tune.types import DocSelectionType +logger = logging.getLogger(__name__) + @validate_call(config={"arbitrary_types_allowed": True}) async def generate_indexing_prompts( config: GraphRagConfig, - logger: logging.Logger, root: str, chunk_size: PositiveInt = graphrag_config_defaults.chunks.size, overlap: Annotated[ @@ -72,7 +73,6 @@ async def generate_indexing_prompts( Parameters ---------- - config: The GraphRag configuration. - - logger: The logger to use for progress updates. - root: The root directory. - output_path: The path to store the prompts. - chunk_size: The chunk token size to use for input text units. diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index f0eb6445d6..28fbdc5bcd 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -174,7 +174,6 @@ def _run_index( method=method, is_update_run=is_update_run, memory_profile=memprofile, - progress_logger=progress_logger, ) ) encountered_errors = any( diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index 516668a9d2..e83f3dcb38 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -90,7 +90,6 @@ async def prompt_tune( prompts = await api.generate_indexing_prompts( config=graph_config, root=str(root_path), - logger=progress_logger, chunk_size=chunk_size, overlap=overlap, limit=limit, From f73a7a7198113504b28820d18a0a07a234d718bb Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 11:00:56 +0000 Subject: [PATCH 22/88] Remove logger parameter from run_pipeline and standardize logger naming Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/api/index.py | 1 - graphrag/callbacks/file_workflow_callbacks.py | 8 ++++---- graphrag/config/read_dotenv.py | 6 +++--- graphrag/index/input/csv.py | 4 ++-- graphrag/index/input/json.py | 4 ++-- graphrag/index/input/text.py | 2 +- graphrag/index/input/util.py | 14 ++++++------- .../build_noun_graph/np_extractors/base.py | 4 ++-- graphrag/index/operations/cluster_graph.py | 4 ++-- .../index/operations/embed_text/embed_text.py | 4 ++-- .../embed_text/strategies/openai.py | 4 ++-- .../extract_covariates/claim_extractor.py | 4 ++-- .../extract_covariates/extract_covariates.py | 4 ++-- .../operations/extract_graph/extract_graph.py | 4 ++-- .../extract_graph/graph_extractor.py | 4 ++-- .../index/operations/layout_graph/umap.py | 4 ++-- .../index/operations/layout_graph/zero.py | 4 ++-- .../community_reports_extractor.py | 4 ++-- .../graph_context/context_builder.py | 4 ++-- .../summarize_communities/strategies.py | 6 +++--- .../summarize_communities.py | 2 +- .../text_unit_context/context_builder.py | 2 +- .../text_unit_context/prep_text_units.py | 2 +- .../text_unit_context/sort_context.py | 2 +- .../summarize_descriptions.py | 4 ++-- graphrag/index/run/run_pipeline.py | 12 ++++------- .../index/text_splitting/text_splitting.py | 6 ++++-- graphrag/index/utils/tokens.py | 4 ++-- .../create_community_reports_text.py | 2 +- .../workflows/generate_text_embeddings.py | 6 +++--- .../context_builder/community_context.py | 6 +++--- .../dynamic_community_selection.py | 10 +++++----- .../query/context_builder/rate_relevancy.py | 4 ++-- graphrag/query/indexer_adapters.py | 4 ++-- graphrag/query/llm/text_utils.py | 8 ++++---- graphrag/query/question_gen/local_gen.py | 12 ++++++----- .../basic_search/basic_context.py | 4 ++-- .../structured_search/basic_search/search.py | 8 ++++---- .../structured_search/drift_search/action.py | 8 ++++---- .../drift_search/drift_context.py | 2 +- .../structured_search/drift_search/primer.py | 6 +++--- .../structured_search/drift_search/search.py | 4 ++-- .../structured_search/drift_search/state.py | 6 +++--- .../structured_search/global_search/search.py | 14 ++++++------- .../local_search/mixed_context.py | 4 ++-- .../structured_search/local_search/search.py | 8 ++++---- graphrag/storage/blob_pipeline_storage.py | 16 +++++++-------- graphrag/storage/cosmosdb_pipeline_storage.py | 20 +++++++++---------- graphrag/storage/file_pipeline_storage.py | 8 +++++--- graphrag/utils/storage.py | 6 +++--- tests/smoke/test_fixtures.py | 6 +++--- 51 files changed, 150 insertions(+), 149 deletions(-) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index c8a684d440..56bed43f22 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -67,7 +67,6 @@ async def build_index( pipeline, config, callbacks=workflow_callbacks, - logger=logger, is_update_run=is_update_run, ): outputs.append(output) diff --git a/graphrag/callbacks/file_workflow_callbacks.py b/graphrag/callbacks/file_workflow_callbacks.py index 1f476f8c52..97a69f31c7 100644 --- a/graphrag/callbacks/file_workflow_callbacks.py +++ b/graphrag/callbacks/file_workflow_callbacks.py @@ -10,7 +10,7 @@ from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class FileWorkflowCallbacks(NoopWorkflowCallbacks): @@ -48,7 +48,7 @@ def error( + "\n" ) message = f"{message} details={details}" - log.info(message) + logger.info(message) def warning(self, message: str, details: dict | None = None): """Handle when a warning occurs.""" @@ -71,8 +71,8 @@ def log(self, message: str, details: dict | None = None): ) message = f"{message} details={details}" - log.info(message) + logger.info(message) def _print_warning(skk): - log.warning(skk) + logger.warning(skk) diff --git a/graphrag/config/read_dotenv.py b/graphrag/config/read_dotenv.py index 7e041757b3..a2da5d43fe 100644 --- a/graphrag/config/read_dotenv.py +++ b/graphrag/config/read_dotenv.py @@ -9,17 +9,17 @@ from dotenv import dotenv_values -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def read_dotenv(root: str) -> None: """Read a .env file in the given root path.""" env_path = Path(root) / ".env" if env_path.exists(): - log.info("Loading pipeline .env file") + logger.info("Loading pipeline .env file") env_config = dotenv_values(f"{env_path}") for key, value in env_config.items(): if key not in os.environ: os.environ[key] = value or "" else: - log.info("No .env file found at %s", root) + logger.info("No .env file found at %s", root) diff --git a/graphrag/index/input/csv.py b/graphrag/index/input/csv.py index d11c119279..dcffb49c97 100644 --- a/graphrag/index/input/csv.py +++ b/graphrag/index/input/csv.py @@ -12,7 +12,7 @@ from graphrag.index.input.util import load_files, process_data_columns from graphrag.storage.pipeline_storage import PipelineStorage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def load_csv( @@ -21,7 +21,7 @@ async def load_csv( storage: PipelineStorage, ) -> pd.DataFrame: """Load csv inputs from a directory.""" - log.info("Loading csv files from %s", config.base_dir) + logger.info("Loading csv files from %s", config.base_dir) async def load_file(path: str, group: dict | None) -> pd.DataFrame: if group is None: diff --git a/graphrag/index/input/json.py b/graphrag/index/input/json.py index fc36a6ceba..de5952af4a 100644 --- a/graphrag/index/input/json.py +++ b/graphrag/index/input/json.py @@ -12,7 +12,7 @@ from graphrag.index.input.util import load_files, process_data_columns from graphrag.storage.pipeline_storage import PipelineStorage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def load_json( @@ -21,7 +21,7 @@ async def load_json( storage: PipelineStorage, ) -> pd.DataFrame: """Load json inputs from a directory.""" - log.info("Loading json files from %s", config.base_dir) + logger.info("Loading json files from %s", config.base_dir) async def load_file(path: str, group: dict | None) -> pd.DataFrame: if group is None: diff --git a/graphrag/index/input/text.py b/graphrag/index/input/text.py index 96f91a18e8..2469ffe67c 100644 --- a/graphrag/index/input/text.py +++ b/graphrag/index/input/text.py @@ -13,7 +13,7 @@ from graphrag.index.utils.hashing import gen_sha512_hash from graphrag.storage.pipeline_storage import PipelineStorage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def load_text( diff --git a/graphrag/index/input/util.py b/graphrag/index/input/util.py index e7d25fadb0..277844ee56 100644 --- a/graphrag/index/input/util.py +++ b/graphrag/index/input/util.py @@ -13,7 +13,7 @@ from graphrag.index.utils.hashing import gen_sha512_hash from graphrag.storage.pipeline_storage import PipelineStorage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def load_files( @@ -41,17 +41,17 @@ async def load_files( try: files_loaded.append(await loader(file, group)) except Exception as e: # noqa: BLE001 (catching Exception is fine here) - log.warning("Warning! Error loading file %s. Skipping...", file) - log.warning("Error: %s", e) + logger.warning("Warning! Error loading file %s. Skipping...", file) + logger.warning("Error: %s", e) - log.info( + logger.info( "Found %d %s files, loading %d", len(files), config.file_type, len(files_loaded) ) result = pd.concat(files_loaded) total_files_log = ( f"Total number of unfiltered {config.file_type} rows: {len(result)}" ) - log.info(total_files_log) + logger.info(total_files_log) return result @@ -65,7 +65,7 @@ def process_data_columns( ) if config.text_column is not None and "text" not in documents.columns: if config.text_column not in documents.columns: - log.warning( + logger.warning( "text_column %s not found in csv file %s", config.text_column, path, @@ -74,7 +74,7 @@ def process_data_columns( documents["text"] = documents.apply(lambda x: x[config.text_column], axis=1) if config.title_column is not None: if config.title_column not in documents.columns: - log.warning( + logger.warning( "title_column %s not found in csv file %s", config.title_column, path, diff --git a/graphrag/index/operations/build_noun_graph/np_extractors/base.py b/graphrag/index/operations/build_noun_graph/np_extractors/base.py index 27a1d9f01a..18bb3f804c 100644 --- a/graphrag/index/operations/build_noun_graph/np_extractors/base.py +++ b/graphrag/index/operations/build_noun_graph/np_extractors/base.py @@ -8,7 +8,7 @@ import spacy -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class BaseNounPhraseExtractor(metaclass=ABCMeta): @@ -54,7 +54,7 @@ def load_spacy_model( return spacy.load(model_name, exclude=exclude) except OSError: msg = f"Model `{model_name}` not found. Attempting to download..." - log.info(msg) + logger.info(msg) from spacy.cli.download import download download(model_name) diff --git a/graphrag/index/operations/cluster_graph.py b/graphrag/index/operations/cluster_graph.py index b74d807a96..de16e2d35c 100644 --- a/graphrag/index/operations/cluster_graph.py +++ b/graphrag/index/operations/cluster_graph.py @@ -13,7 +13,7 @@ Communities = list[tuple[int, int, int, list[str]]] -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def cluster_graph( @@ -24,7 +24,7 @@ def cluster_graph( ) -> Communities: """Apply a hierarchical clustering algorithm to a graph.""" if len(graph.nodes) == 0: - log.warning("Graph has no nodes") + logger.warning("Graph has no nodes") return [] node_id_to_community_map, parent_mapping = _compute_leiden_communities( diff --git a/graphrag/index/operations/embed_text/embed_text.py b/graphrag/index/operations/embed_text/embed_text.py index b0a9e55410..be69aa38ac 100644 --- a/graphrag/index/operations/embed_text/embed_text.py +++ b/graphrag/index/operations/embed_text/embed_text.py @@ -17,7 +17,7 @@ from graphrag.vector_stores.base import BaseVectorStore, VectorStoreDocument from graphrag.vector_stores.factory import VectorStoreFactory -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) # Per Azure OpenAI Limits # https://learn.microsoft.com/en-us/azure/ai-services/openai/reference @@ -195,7 +195,7 @@ def _get_collection_name(vector_store_config: dict, embedding_name: str) -> str: collection_name = create_collection_name(container_name, embedding_name) msg = f"using vector store {vector_store_config.get('type')} with container_name {container_name} for embedding {embedding_name}: {collection_name}" - log.info(msg) + logger.info(msg) return collection_name diff --git a/graphrag/index/operations/embed_text/strategies/openai.py b/graphrag/index/operations/embed_text/strategies/openai.py index b5dee44335..7f2eea0c6f 100644 --- a/graphrag/index/operations/embed_text/strategies/openai.py +++ b/graphrag/index/operations/embed_text/strategies/openai.py @@ -19,7 +19,7 @@ from graphrag.language_model.protocol.base import EmbeddingModel from graphrag.logger.progress import ProgressTicker, progress_ticker -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def run( @@ -54,7 +54,7 @@ async def run( batch_max_tokens, splitter, ) - log.info( + logger.info( "embedding %d inputs via %d snippets using %d batches. max_batch_size=%d, batch_max_tokens=%d", len(input), len(texts), diff --git a/graphrag/index/operations/extract_covariates/claim_extractor.py b/graphrag/index/operations/extract_covariates/claim_extractor.py index 6ddfe503c0..e50d05ce83 100644 --- a/graphrag/index/operations/extract_covariates/claim_extractor.py +++ b/graphrag/index/operations/extract_covariates/claim_extractor.py @@ -20,7 +20,7 @@ DEFAULT_TUPLE_DELIMITER = "<|>" DEFAULT_RECORD_DELIMITER = "##" DEFAULT_COMPLETION_DELIMITER = "<|COMPLETE|>" -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) @dataclass @@ -119,7 +119,7 @@ async def __call__( ] source_doc_map[document_id] = text except Exception as e: - log.exception("error extracting claim") + logger.exception("error extracting claim") self._on_error( e, traceback.format_exc(), diff --git a/graphrag/index/operations/extract_covariates/extract_covariates.py b/graphrag/index/operations/extract_covariates/extract_covariates.py index 7ae23e5bcf..4f3d2debae 100644 --- a/graphrag/index/operations/extract_covariates/extract_covariates.py +++ b/graphrag/index/operations/extract_covariates/extract_covariates.py @@ -23,7 +23,7 @@ from graphrag.index.utils.derive_from_rows import derive_from_rows from graphrag.language_model.manager import ModelManager -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"] @@ -41,7 +41,7 @@ async def extract_covariates( num_threads: int = 4, ): """Extract claims from a piece of text.""" - log.debug("extract_covariates strategy=%s", strategy) + logger.debug("extract_covariates strategy=%s", strategy) if entity_types is None: entity_types = DEFAULT_ENTITY_TYPES diff --git a/graphrag/index/operations/extract_graph/extract_graph.py b/graphrag/index/operations/extract_graph/extract_graph.py index dabfd1c005..aa89d7bb21 100644 --- a/graphrag/index/operations/extract_graph/extract_graph.py +++ b/graphrag/index/operations/extract_graph/extract_graph.py @@ -18,7 +18,7 @@ ) from graphrag.index.utils.derive_from_rows import derive_from_rows -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"] @@ -36,7 +36,7 @@ async def extract_graph( num_threads: int = 4, ) -> tuple[pd.DataFrame, pd.DataFrame]: """Extract a graph from a piece of text using a language model.""" - log.debug("entity_extract strategy=%s", strategy) + logger.debug("entity_extract strategy=%s", strategy) if entity_types is None: entity_types = DEFAULT_ENTITY_TYPES strategy = strategy or {} diff --git a/graphrag/index/operations/extract_graph/graph_extractor.py b/graphrag/index/operations/extract_graph/graph_extractor.py index f7601f2601..d1f66c3e81 100644 --- a/graphrag/index/operations/extract_graph/graph_extractor.py +++ b/graphrag/index/operations/extract_graph/graph_extractor.py @@ -27,7 +27,7 @@ DEFAULT_COMPLETION_DELIMITER = "<|COMPLETE|>" DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"] -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) @dataclass @@ -119,7 +119,7 @@ async def __call__( source_doc_map[doc_index] = text all_records[doc_index] = result except Exception as e: - log.exception("error extracting graph") + logger.exception("error extracting graph") self._on_error( e, traceback.format_exc(), diff --git a/graphrag/index/operations/layout_graph/umap.py b/graphrag/index/operations/layout_graph/umap.py index 8a05a2dbcd..6550188030 100644 --- a/graphrag/index/operations/layout_graph/umap.py +++ b/graphrag/index/operations/layout_graph/umap.py @@ -20,7 +20,7 @@ # for "size" or "cluster" # We could also have a boolean to indicate to use node sizes or clusters -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def run( @@ -56,7 +56,7 @@ def run( **additional_args, ) except Exception as e: - log.exception("Error running UMAP") + logger.exception("Error running UMAP") on_error(e, traceback.format_exc(), None) # Umap may fail due to input sparseness or memory pressure. # For now, in these cases, we'll just return a layout with all nodes at (0, 0) diff --git a/graphrag/index/operations/layout_graph/zero.py b/graphrag/index/operations/layout_graph/zero.py index f42734199b..934df0030f 100644 --- a/graphrag/index/operations/layout_graph/zero.py +++ b/graphrag/index/operations/layout_graph/zero.py @@ -18,7 +18,7 @@ # for "size" or "cluster" # We could also have a boolean to indicate to use node sizes or clusters -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def run( @@ -47,7 +47,7 @@ def run( try: return get_zero_positions(node_labels=nodes, **additional_args) except Exception as e: - log.exception("Error running zero-position") + logger.exception("Error running zero-position") on_error(e, traceback.format_exc(), None) # Umap may fail due to input sparseness or memory pressure. # For now, in these cases, we'll just return a layout with all nodes at (0, 0) diff --git a/graphrag/index/operations/summarize_communities/community_reports_extractor.py b/graphrag/index/operations/summarize_communities/community_reports_extractor.py index 73ac0ec9e2..1442a44a1b 100644 --- a/graphrag/index/operations/summarize_communities/community_reports_extractor.py +++ b/graphrag/index/operations/summarize_communities/community_reports_extractor.py @@ -13,7 +13,7 @@ from graphrag.language_model.protocol.base import ChatModel from graphrag.prompts.index.community_report import COMMUNITY_REPORT_PROMPT -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) # these tokens are used in the prompt INPUT_TEXT_KEY = "input_text" @@ -86,7 +86,7 @@ async def __call__(self, input_text: str): output = response.parsed_response except Exception as e: - log.exception("error generating community report") + logger.exception("error generating community report") self._on_error(e, traceback.format_exc(), None) text_output = self._get_text_output(output) if output else "" diff --git a/graphrag/index/operations/summarize_communities/graph_context/context_builder.py b/graphrag/index/operations/summarize_communities/graph_context/context_builder.py index 8c33fe8269..bf9e4ae5e3 100644 --- a/graphrag/index/operations/summarize_communities/graph_context/context_builder.py +++ b/graphrag/index/operations/summarize_communities/graph_context/context_builder.py @@ -32,7 +32,7 @@ from graphrag.logger.progress import progress_iterable from graphrag.query.llm.text_utils import num_tokens -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def build_local_context( @@ -69,7 +69,7 @@ def _prepare_reports_at_level( """Prepare reports at a given level.""" # Filter and prepare node details level_node_df = node_df[node_df[schemas.COMMUNITY_LEVEL] == level] - log.info("Number of nodes at level=%s => %s", level, len(level_node_df)) + logger.info("Number of nodes at level=%s => %s", level, len(level_node_df)) nodes_set = set(level_node_df[schemas.TITLE]) # Filter and prepare edge details diff --git a/graphrag/index/operations/summarize_communities/strategies.py b/graphrag/index/operations/summarize_communities/strategies.py index 4a42fbf9d1..d9d671e3ca 100644 --- a/graphrag/index/operations/summarize_communities/strategies.py +++ b/graphrag/index/operations/summarize_communities/strategies.py @@ -21,7 +21,7 @@ from graphrag.language_model.manager import ModelManager from graphrag.language_model.protocol.base import ChatModel -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def run_graph_intelligence( @@ -69,7 +69,7 @@ async def _run_extractor( results = await extractor(input) report = results.structured_output if report is None: - log.warning("No report found for community: %s", community) + logger.warning("No report found for community: %s", community) return None return CommunityReport( @@ -87,6 +87,6 @@ async def _run_extractor( full_content_json=report.model_dump_json(indent=4), ) except Exception as e: - log.exception("Error processing community: %s", community) + logger.exception("Error processing community: %s", community) callbacks.error("Community Report Extraction Error", e, traceback.format_exc()) return None diff --git a/graphrag/index/operations/summarize_communities/summarize_communities.py b/graphrag/index/operations/summarize_communities/summarize_communities.py index e64c3e23f4..af30dd9fcc 100644 --- a/graphrag/index/operations/summarize_communities/summarize_communities.py +++ b/graphrag/index/operations/summarize_communities/summarize_communities.py @@ -24,7 +24,7 @@ from graphrag.index.utils.derive_from_rows import derive_from_rows from graphrag.logger.progress import progress_ticker -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def summarize_communities( diff --git a/graphrag/index/operations/summarize_communities/text_unit_context/context_builder.py b/graphrag/index/operations/summarize_communities/text_unit_context/context_builder.py index 95f3621858..ca2342d57e 100644 --- a/graphrag/index/operations/summarize_communities/text_unit_context/context_builder.py +++ b/graphrag/index/operations/summarize_communities/text_unit_context/context_builder.py @@ -20,7 +20,7 @@ ) from graphrag.query.llm.text_utils import num_tokens -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def build_local_context( diff --git a/graphrag/index/operations/summarize_communities/text_unit_context/prep_text_units.py b/graphrag/index/operations/summarize_communities/text_unit_context/prep_text_units.py index 083fc29ea0..af31ee74ea 100644 --- a/graphrag/index/operations/summarize_communities/text_unit_context/prep_text_units.py +++ b/graphrag/index/operations/summarize_communities/text_unit_context/prep_text_units.py @@ -9,7 +9,7 @@ import graphrag.data_model.schemas as schemas -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def prep_text_units( diff --git a/graphrag/index/operations/summarize_communities/text_unit_context/sort_context.py b/graphrag/index/operations/summarize_communities/text_unit_context/sort_context.py index 2435dfbdb6..53639f1f31 100644 --- a/graphrag/index/operations/summarize_communities/text_unit_context/sort_context.py +++ b/graphrag/index/operations/summarize_communities/text_unit_context/sort_context.py @@ -10,7 +10,7 @@ import graphrag.data_model.schemas as schemas from graphrag.query.llm.text_utils import num_tokens -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def get_context_string( diff --git a/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py b/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py index 92b54cf9a0..bd91fffb43 100644 --- a/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py +++ b/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py @@ -17,7 +17,7 @@ ) from graphrag.logger.progress import ProgressTicker, progress_ticker -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def summarize_descriptions( @@ -29,7 +29,7 @@ async def summarize_descriptions( num_threads: int = 4, ) -> tuple[pd.DataFrame, pd.DataFrame]: """Summarize entity and relationship descriptions from an entity graph, using a language model.""" - log.debug("summarize_descriptions strategy=%s", strategy) + logger.debug("summarize_descriptions strategy=%s", strategy) strategy = strategy or {} strategy_exec = load_strategy( strategy.get("type", SummarizeStrategyType.graph_intelligence) diff --git a/graphrag/index/run/run_pipeline.py b/graphrag/index/run/run_pipeline.py index 37f1cd8d1a..8c9937c6d0 100644 --- a/graphrag/index/run/run_pipeline.py +++ b/graphrag/index/run/run_pipeline.py @@ -25,14 +25,13 @@ from graphrag.utils.api import create_cache_from_config, create_storage_from_config from graphrag.utils.storage import load_table_from_storage, write_table_to_storage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def run_pipeline( pipeline: Pipeline, config: GraphRagConfig, callbacks: WorkflowCallbacks, - logger: logging.Logger, is_update_run: bool = False, ) -> AsyncIterable[PipelineRunResult]: """Run all workflows using a simplified pipeline.""" @@ -41,7 +40,7 @@ async def run_pipeline( storage = create_storage_from_config(config.output) cache = create_cache_from_config(config.cache, root_dir) - dataset = await create_input(config.input, logger, root_dir) + dataset = await create_input(config.input, None, root_dir) # load existing state in case any workflows are stateful state_json = await storage.get("context.json") @@ -78,7 +77,6 @@ async def run_pipeline( pipeline=pipeline, config=config, dataset=delta_dataset.new_inputs, - logger=logger, context=context, ): yield table @@ -96,7 +94,6 @@ async def run_pipeline( pipeline=pipeline, config=config, dataset=dataset, - logger=logger, context=context, ): yield table @@ -106,12 +103,11 @@ async def _run_pipeline( pipeline: Pipeline, config: GraphRagConfig, dataset: pd.DataFrame, - logger: logging.Logger, context: PipelineRunContext, ) -> AsyncIterable[PipelineRunResult]: start_time = time.time() - log.info("Final # of rows loaded: %s", len(dataset)) + logger.info("Final # of rows loaded: %s", len(dataset)) context.stats.num_documents = len(dataset) last_workflow = "starting documents" @@ -137,7 +133,7 @@ async def _run_pipeline( await _dump_json(context) except Exception as e: - log.exception("error running workflow %s", last_workflow) + logger.exception("error running workflow %s", last_workflow) context.callbacks.error("Error running pipeline!", e, traceback.format_exc()) yield PipelineRunResult( workflow=last_workflow, result=None, state=context.state, errors=[e] diff --git a/graphrag/index/text_splitting/text_splitting.py b/graphrag/index/text_splitting/text_splitting.py index 57f2f23659..2674dd724d 100644 --- a/graphrag/index/text_splitting/text_splitting.py +++ b/graphrag/index/text_splitting/text_splitting.py @@ -21,7 +21,7 @@ EncodeFn = Callable[[str], EncodedText] LengthFn = Callable[[str], int] -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) @dataclass(frozen=True) @@ -100,7 +100,9 @@ def __init__( try: enc = tiktoken.encoding_for_model(model_name) except KeyError: - log.exception("Model %s not found, using %s", model_name, encoding_name) + logger.exception( + "Model %s not found, using %s", model_name, encoding_name + ) enc = tiktoken.get_encoding(encoding_name) else: enc = tiktoken.get_encoding(encoding_name) diff --git a/graphrag/index/utils/tokens.py b/graphrag/index/utils/tokens.py index fcd996840f..6c48f24059 100644 --- a/graphrag/index/utils/tokens.py +++ b/graphrag/index/utils/tokens.py @@ -11,7 +11,7 @@ DEFAULT_ENCODING_NAME = defs.ENCODING_MODEL -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def num_tokens_from_string( @@ -23,7 +23,7 @@ def num_tokens_from_string( encoding = tiktoken.encoding_for_model(model) except KeyError: msg = f"Failed to get encoding for {model} when getting num_tokens_from_string. Fall back to default encoding {DEFAULT_ENCODING_NAME}" - log.warning(msg) + logger.warning(msg) encoding = tiktoken.get_encoding(DEFAULT_ENCODING_NAME) else: encoding = tiktoken.get_encoding(encoding_name or DEFAULT_ENCODING_NAME) diff --git a/graphrag/index/workflows/create_community_reports_text.py b/graphrag/index/workflows/create_community_reports_text.py index c713a6c547..8b76e8a080 100644 --- a/graphrag/index/workflows/create_community_reports_text.py +++ b/graphrag/index/workflows/create_community_reports_text.py @@ -29,7 +29,7 @@ from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import load_table_from_storage, write_table_to_storage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def run_workflow( diff --git a/graphrag/index/workflows/generate_text_embeddings.py b/graphrag/index/workflows/generate_text_embeddings.py index f10fcbdb74..ead40be19c 100644 --- a/graphrag/index/workflows/generate_text_embeddings.py +++ b/graphrag/index/workflows/generate_text_embeddings.py @@ -30,7 +30,7 @@ write_table_to_storage, ) -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def run_workflow( @@ -143,12 +143,12 @@ async def generate_text_embeddings( }, } - log.info("Creating embeddings") + logger.info("Creating embeddings") outputs = {} for field in embedded_fields: if embedding_param_map[field]["data"] is None: msg = f"Embedding {field} is specified but data table is not in storage. This may or may not be intentional - if you expect it to me here, please check for errors earlier in the logs." - log.warning(msg) + logger.warning(msg) else: outputs[field] = await _run_embeddings( name=field, diff --git a/graphrag/query/context_builder/community_context.py b/graphrag/query/context_builder/community_context.py index ba506a0a9a..368fe633bd 100644 --- a/graphrag/query/context_builder/community_context.py +++ b/graphrag/query/context_builder/community_context.py @@ -14,7 +14,7 @@ from graphrag.data_model.entity import Entity from graphrag.query.llm.text_utils import num_tokens -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) NO_COMMUNITY_RECORDS_WARNING: str = ( "Warning: No community records added when building community context." @@ -88,7 +88,7 @@ def _report_context_text( ) ) if compute_community_weights: - log.info("Computing community weights...") + logger.info("Computing community weights...") community_reports = _compute_community_weights( community_reports=community_reports, entities=entities, @@ -177,7 +177,7 @@ def _cut_batch() -> None: _cut_batch() if len(all_context_records) == 0: - log.warning(NO_COMMUNITY_RECORDS_WARNING) + logger.warning(NO_COMMUNITY_RECORDS_WARNING) return ([], {}) return all_context_text, { diff --git a/graphrag/query/context_builder/dynamic_community_selection.py b/graphrag/query/context_builder/dynamic_community_selection.py index 80fc562ae1..5f15257f3d 100644 --- a/graphrag/query/context_builder/dynamic_community_selection.py +++ b/graphrag/query/context_builder/dynamic_community_selection.py @@ -18,7 +18,7 @@ from graphrag.query.context_builder.rate_prompt import RATE_QUERY from graphrag.query.context_builder.rate_relevancy import rate_relevancy -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class DynamicCommunitySelection: @@ -109,7 +109,7 @@ async def select(self, query: str) -> tuple[list[CommunityReport], dict[str, Any communities_to_rate = [] for community, result in zip(queue, gather_results, strict=True): rating = result["rating"] - log.debug( + logger.debug( "dynamic community selection: community %s rating %s", community, rating, @@ -127,7 +127,7 @@ async def select(self, query: str) -> tuple[list[CommunityReport], dict[str, Any if child in self.reports: communities_to_rate.append(child) else: - log.debug( + logger.debug( "dynamic community selection: cannot find community %s in reports", child, ) @@ -142,7 +142,7 @@ async def select(self, query: str) -> tuple[list[CommunityReport], dict[str, Any and (str(level) in self.levels) and (level <= self.max_level) ): - log.info( + logger.info( "dynamic community selection: no relevant community " "reports, adding all reports at level %s to rate.", level, @@ -155,7 +155,7 @@ async def select(self, query: str) -> tuple[list[CommunityReport], dict[str, Any ] end = time() - log.info( + logger.info( "dynamic community selection (took: %ss)\n" "\trating distribution %s\n" "\t%s out of %s community reports are relevant\n" diff --git a/graphrag/query/context_builder/rate_relevancy.py b/graphrag/query/context_builder/rate_relevancy.py index b9d494f2a4..44cd7fee2f 100644 --- a/graphrag/query/context_builder/rate_relevancy.py +++ b/graphrag/query/context_builder/rate_relevancy.py @@ -15,7 +15,7 @@ from graphrag.query.context_builder.rate_prompt import RATE_QUERY from graphrag.query.llm.text_utils import num_tokens, try_parse_json_object -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def rate_relevancy( @@ -60,7 +60,7 @@ async def rate_relevancy( except KeyError: # in case of json parsing error, default to rating 1 so the report is kept. # json parsing error should rarely happen. - log.info("Error parsing json response, defaulting to rating 1") + logger.info("Error parsing json response, defaulting to rating 1") ratings.append(1) llm_calls += 1 prompt_tokens += num_tokens(messages[0]["content"], token_encoder) diff --git a/graphrag/query/indexer_adapters.py b/graphrag/query/indexer_adapters.py index b58ea36733..0c6e54a8af 100644 --- a/graphrag/query/indexer_adapters.py +++ b/graphrag/query/indexer_adapters.py @@ -30,7 +30,7 @@ ) from graphrag.vector_stores.base import BaseVectorStore -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def read_indexer_text_units(final_text_units: pd.DataFrame) -> list[TextUnit]: @@ -195,7 +195,7 @@ def read_indexer_communities( ~communities_df.community.isin(reports_df.community.unique()) ].community.to_list() if len(missing_reports): - log.warning("Missing reports for communities: %s", missing_reports) + logger.warning("Missing reports for communities: %s", missing_reports) communities_df = communities_df.loc[ communities_df.community.isin(reports_df.community.unique()) ] diff --git a/graphrag/query/llm/text_utils.py b/graphrag/query/llm/text_utils.py index 3266e9993a..1fda8d6ece 100644 --- a/graphrag/query/llm/text_utils.py +++ b/graphrag/query/llm/text_utils.py @@ -14,7 +14,7 @@ import graphrag.config.defaults as defs -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) def num_tokens(text: str, token_encoder: tiktoken.Encoding | None = None) -> int: @@ -60,7 +60,7 @@ def try_parse_json_object(input: str, verbose: bool = True) -> tuple[str, dict]: result = json.loads(input) except json.JSONDecodeError: if verbose: - log.info("Warning: Error decoding faulty json, attempting repair") + logger.info("Warning: Error decoding faulty json, attempting repair") if result: return input, result @@ -99,12 +99,12 @@ def try_parse_json_object(input: str, verbose: bool = True) -> tuple[str, dict]: result = json.loads(input) except json.JSONDecodeError: if verbose: - log.exception("error loading json, json=%s", input) + logger.exception("error loading json, json=%s", input) return input, {} else: if not isinstance(result, dict): if verbose: - log.exception("not expected dict type. type=%s:", type(result)) + logger.exception("not expected dict type. type=%s:", type(result)) return input, {} return input, result else: diff --git a/graphrag/query/question_gen/local_gen.py b/graphrag/query/question_gen/local_gen.py index 04ea517899..fcdf1d6e15 100644 --- a/graphrag/query/question_gen/local_gen.py +++ b/graphrag/query/question_gen/local_gen.py @@ -22,7 +22,7 @@ from graphrag.query.llm.text_utils import num_tokens from graphrag.query.question_gen.base import BaseQuestionGen, QuestionResult -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class LocalQuestionGen(BaseQuestionGen): @@ -88,7 +88,9 @@ async def agenerate( context_records = result.context_records else: context_records = {"context_data": context_data} - log.info("GENERATE QUESTION: %s. LAST QUESTION: %s", start_time, question_text) + logger.info( + "GENERATE QUESTION: %s. LAST QUESTION: %s", start_time, question_text + ) system_prompt = "" try: system_prompt = self.system_prompt.format( @@ -120,7 +122,7 @@ async def agenerate( ) except Exception: - log.exception("Exception in generating question") + logger.exception("Exception in generating question") return QuestionResult( response=[], context_data=context_records, @@ -168,7 +170,7 @@ async def generate( context_records = result.context_records else: context_records = {"context_data": context_data} - log.info( + logger.info( "GENERATE QUESTION: %s. QUESTION HISTORY: %s", start_time, question_text ) system_prompt = "" @@ -203,7 +205,7 @@ async def generate( ) except Exception: - log.exception("Exception in generating questions") + logger.exception("Exception in generating questions") return QuestionResult( response=[], context_data=context_records, diff --git a/graphrag/query/structured_search/basic_search/basic_context.py b/graphrag/query/structured_search/basic_search/basic_context.py index d08bdc2e73..7dbf14ff8e 100644 --- a/graphrag/query/structured_search/basic_search/basic_context.py +++ b/graphrag/query/structured_search/basic_search/basic_context.py @@ -19,7 +19,7 @@ from graphrag.query.llm.text_utils import num_tokens from graphrag.vector_stores.base import BaseVectorStore -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class BasicSearchContext(BasicContextBuilder): @@ -84,7 +84,7 @@ def build_context( tokens = num_tokens(text, self.token_encoder) if current_tokens + tokens > max_context_tokens: msg = f"Reached token limit: {current_tokens + tokens}. Reverting to previous context state" - log.info(msg) + logger.info(msg) break current_tokens += tokens diff --git a/graphrag/query/structured_search/basic_search/search.py b/graphrag/query/structured_search/basic_search/search.py index a5dca578d3..ed919891af 100644 --- a/graphrag/query/structured_search/basic_search/search.py +++ b/graphrag/query/structured_search/basic_search/search.py @@ -20,7 +20,7 @@ from graphrag.query.llm.text_utils import num_tokens from graphrag.query.structured_search.base import BaseSearch, SearchResult -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) """ Implementation of a generic RAG algorithm (vector search on raw text chunks) """ @@ -73,7 +73,7 @@ async def search( prompt_tokens["build_context"] = context_result.prompt_tokens output_tokens["build_context"] = context_result.output_tokens - log.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + logger.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) try: search_prompt = self.system_prompt.format( context_data=context_result.context_chunks, @@ -114,7 +114,7 @@ async def search( ) except Exception: - log.exception("Exception in _asearch") + logger.exception("Exception in _asearch") return SearchResult( response="", context_data=context_result.context_records, @@ -141,7 +141,7 @@ async def stream_search( conversation_history=conversation_history, **self.context_builder_params, ) - log.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + logger.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) search_prompt = self.system_prompt.format( context_data=context_result.context_chunks, response_type=self.response_type ) diff --git a/graphrag/query/structured_search/drift_search/action.py b/graphrag/query/structured_search/drift_search/action.py index 7254eb33d0..8f1da3d721 100644 --- a/graphrag/query/structured_search/drift_search/action.py +++ b/graphrag/query/structured_search/drift_search/action.py @@ -9,7 +9,7 @@ from graphrag.query.llm.text_utils import try_parse_json_object -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class DriftAction: @@ -67,7 +67,7 @@ async def search(self, search_engine: Any, global_query: str, scorer: Any = None Updated action with search results. """ if self.is_complete: - log.warning("Action already complete. Skipping search.") + logger.warning("Action already complete. Skipping search.") return self search_result = await search_engine.search( @@ -83,7 +83,7 @@ async def search(self, search_engine: Any, global_query: str, scorer: Any = None self.metadata.update({"context_data": search_result.context_data}) if self.answer is None: - log.warning("No answer found for query: %s", self.query) + logger.warning("No answer found for query: %s", self.query) self.metadata["llm_calls"] += 1 self.metadata["prompt_tokens"] += search_result.prompt_tokens @@ -91,7 +91,7 @@ async def search(self, search_engine: Any, global_query: str, scorer: Any = None self.follow_ups = response.pop("follow_up_queries", []) if not self.follow_ups: - log.warning("No follow-up actions found for response: %s", response) + logger.warning("No follow-up actions found for response: %s", response) if scorer: self.compute_score(scorer) diff --git a/graphrag/query/structured_search/drift_search/drift_context.py b/graphrag/query/structured_search/drift_search/drift_context.py index 1013b995b9..cdda862e3d 100644 --- a/graphrag/query/structured_search/drift_search/drift_context.py +++ b/graphrag/query/structured_search/drift_search/drift_context.py @@ -30,7 +30,7 @@ ) from graphrag.vector_stores.base import BaseVectorStore -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class DRIFTSearchContextBuilder(DRIFTContextBuilder): diff --git a/graphrag/query/structured_search/drift_search/primer.py b/graphrag/query/structured_search/drift_search/primer.py index 66d86be88b..6a7d745f7b 100644 --- a/graphrag/query/structured_search/drift_search/primer.py +++ b/graphrag/query/structured_search/drift_search/primer.py @@ -22,7 +22,7 @@ from graphrag.query.llm.text_utils import num_tokens from graphrag.query.structured_search.base import SearchResult -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class PrimerQueryProcessor: @@ -78,7 +78,7 @@ async def expand_query(self, query: str) -> tuple[str, dict[str, int]]: "output_tokens": output_tokens, } if text == "": - log.warning("Failed to generate expansion for query: %s", query) + logger.warning("Failed to generate expansion for query: %s", query) return query, token_ct return text, token_ct @@ -94,7 +94,7 @@ async def __call__(self, query: str) -> tuple[list[float], dict[str, int]]: tuple[list[float], int]: List of embeddings for the expanded query and the token count. """ hyde_query, token_ct = await self.expand_query(query) - log.info("Expanded query: %s", hyde_query) + logger.info("Expanded query: %s", hyde_query) return self.text_embedder.embed(hyde_query), token_ct diff --git a/graphrag/query/structured_search/drift_search/search.py b/graphrag/query/structured_search/drift_search/search.py index a452cf1d19..a55403435d 100644 --- a/graphrag/query/structured_search/drift_search/search.py +++ b/graphrag/query/structured_search/drift_search/search.py @@ -28,7 +28,7 @@ from graphrag.query.structured_search.drift_search.state import QueryState from graphrag.query.structured_search.local_search.search import LocalSearch -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class DRIFTSearch(BaseSearch[DRIFTSearchContextBuilder]): @@ -233,7 +233,7 @@ async def search( while epochs < self.context_builder.config.n_depth: actions = self.query_state.rank_incomplete_actions() if len(actions) == 0: - log.info("No more actions to take. Exiting DRIFT loop.") + logger.info("No more actions to take. Exiting DRIFT loop.") break actions = actions[: self.context_builder.config.drift_k_followups] llm_call_offset += ( diff --git a/graphrag/query/structured_search/drift_search/state.py b/graphrag/query/structured_search/drift_search/state.py index c454158f1b..82453b3a4e 100644 --- a/graphrag/query/structured_search/drift_search/state.py +++ b/graphrag/query/structured_search/drift_search/state.py @@ -12,7 +12,7 @@ from graphrag.query.structured_search.drift_search.action import DriftAction -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class QueryState: @@ -39,13 +39,13 @@ def add_all_follow_ups( ): """Add all follow-up actions and links them to the given action.""" if len(follow_ups) == 0: - log.warning("No follow-up actions for action: %s", action.query) + logger.warning("No follow-up actions for action: %s", action.query) for follow_up in follow_ups: if isinstance(follow_up, str): follow_up = DriftAction(query=follow_up) elif not isinstance(follow_up, DriftAction): - log.warning( + logger.warning( "Follow-up action is not a string, found type: %s", type(follow_up) ) diff --git a/graphrag/query/structured_search/global_search/search.py b/graphrag/query/structured_search/global_search/search.py index daa7f55cf7..beb59304ca 100644 --- a/graphrag/query/structured_search/global_search/search.py +++ b/graphrag/query/structured_search/global_search/search.py @@ -33,7 +33,7 @@ from graphrag.query.llm.text_utils import num_tokens, try_parse_json_object from graphrag.query.structured_search.base import BaseSearch, SearchResult -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) @dataclass(kw_only=True) @@ -231,12 +231,12 @@ async def _map_response_single_batch( json=True, ) search_response = model_response.output.content - log.info("Map response: %s", search_response) + logger.info("Map response: %s", search_response) try: # parse search response json processed_response = self._parse_search_response(search_response) except ValueError: - log.warning( + logger.warning( "Warning: Error parsing search response json - skipping this batch" ) processed_response = [] @@ -252,7 +252,7 @@ async def _map_response_single_batch( ) except Exception: - log.exception("Exception in _map_response_single_batch") + logger.exception("Exception in _map_response_single_batch") return SearchResult( response=[{"answer": "", "score": 0}], context_data=context_data, @@ -329,7 +329,7 @@ async def _reduce_response( if len(filtered_key_points) == 0 and not self.allow_general_knowledge: # return no data answer if no key points are found - log.warning( + logger.warning( "Warning: All map responses have score 0 (i.e., no relevant information found from the dataset), returning a canned 'I do not know' answer. You can try enabling `allow_general_knowledge` to encourage the LLM to incorporate relevant general knowledge, at the risk of increasing hallucinations." ) return SearchResult( @@ -402,7 +402,7 @@ async def _reduce_response( output_tokens=num_tokens(search_response, self.token_encoder), ) except Exception: - log.exception("Exception in reduce_response") + logger.exception("Exception in reduce_response") return SearchResult( response="", context_data=text_data, @@ -445,7 +445,7 @@ async def _stream_reduce_response( if len(filtered_key_points) == 0 and not self.allow_general_knowledge: # return no data answer if no key points are found - log.warning( + logger.warning( "Warning: All map responses have score 0 (i.e., no relevant information found from the dataset), returning a canned 'I do not know' answer. You can try enabling `allow_general_knowledge` to encourage the LLM to incorporate relevant general knowledge, at the risk of increasing hallucinations." ) yield NO_DATA_ANSWER diff --git a/graphrag/query/structured_search/local_search/mixed_context.py b/graphrag/query/structured_search/local_search/mixed_context.py index 8883d009e7..62708d37a6 100644 --- a/graphrag/query/structured_search/local_search/mixed_context.py +++ b/graphrag/query/structured_search/local_search/mixed_context.py @@ -44,7 +44,7 @@ from graphrag.query.structured_search.base import LocalContextBuilder from graphrag.vector_stores.base import BaseVectorStore -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class LocalSearchMixedContext(LocalContextBuilder): @@ -446,7 +446,7 @@ def _build_local_context( current_context_data[covariate.lower()] = covariate_context_data if total_tokens > max_context_tokens: - log.info("Reached token limit - reverting to previous context state") + logger.info("Reached token limit - reverting to previous context state") break final_context = current_context diff --git a/graphrag/query/structured_search/local_search/search.py b/graphrag/query/structured_search/local_search/search.py index 3a02caaf44..74eccc0314 100644 --- a/graphrag/query/structured_search/local_search/search.py +++ b/graphrag/query/structured_search/local_search/search.py @@ -22,7 +22,7 @@ from graphrag.query.llm.text_utils import num_tokens from graphrag.query.structured_search.base import BaseSearch, SearchResult -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class LocalSearch(BaseSearch[LocalContextBuilder]): @@ -70,7 +70,7 @@ async def search( prompt_tokens["build_context"] = context_result.prompt_tokens output_tokens["build_context"] = context_result.output_tokens - log.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + logger.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) try: if "drift_query" in kwargs: drift_query = kwargs["drift_query"] @@ -120,7 +120,7 @@ async def search( ) except Exception: - log.exception("Exception in _asearch") + logger.exception("Exception in _asearch") return SearchResult( response="", context_data=context_result.context_records, @@ -144,7 +144,7 @@ async def stream_search( conversation_history=conversation_history, **self.context_builder_params, ) - log.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + logger.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) search_prompt = self.system_prompt.format( context_data=context_result.context_chunks, response_type=self.response_type ) diff --git a/graphrag/storage/blob_pipeline_storage.py b/graphrag/storage/blob_pipeline_storage.py index c4bdf05bb0..618aa02104 100644 --- a/graphrag/storage/blob_pipeline_storage.py +++ b/graphrag/storage/blob_pipeline_storage.py @@ -18,7 +18,7 @@ get_timestamp_formatted_with_local_tz, ) -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class BlobPipelineStorage(PipelineStorage): @@ -62,7 +62,7 @@ def __init__( if storage_account_blob_url else None ) - log.info( + logger.info( "creating blob storage at container=%s, path=%s", self._container_name, self._path_prefix, @@ -115,7 +115,7 @@ def find( """ base_dir = base_dir or "" - log.info( + logger.info( "search container %s for files matching %s", self._container_name, file_pattern.pattern, @@ -163,7 +163,7 @@ def item_filter(item: dict[str, Any]) -> bool: f"Blobs loaded: {num_loaded}, filtered: {num_filtered}, total: {num_total}" ) except Exception: - log.exception( + logger.exception( "Error finding blobs: base_dir=%s, file_pattern=%s, file_filter=%s", base_dir, file_pattern, @@ -186,7 +186,7 @@ async def get( coding = encoding or self._encoding blob_data = blob_data.decode(coding) except Exception: - log.exception("Error getting key %s", key) + logger.exception("Error getting key %s", key) return None else: return blob_data @@ -205,7 +205,7 @@ async def set(self, key: str, value: Any, encoding: str | None = None) -> None: coding = encoding or self._encoding blob_client.upload_blob(value.encode(coding), overwrite=True) except Exception: - log.exception("Error setting key %s: %s", key) + logger.exception("Error setting key %s: %s", key) def _set_df_json(self, key: str, dataframe: Any) -> None: """Set a json dataframe.""" @@ -304,7 +304,7 @@ async def get_creation_date(self, key: str) -> str: timestamp = blob_client.download_blob().properties.creation_time return get_timestamp_formatted_with_local_tz(timestamp) except Exception: - log.exception("Error getting key %s", key) + logger.exception("Error getting key %s", key) return "" @@ -314,7 +314,7 @@ def create_blob_storage(**kwargs: Any) -> PipelineStorage: storage_account_blob_url = kwargs.get("storage_account_blob_url") base_dir = kwargs.get("base_dir") container_name = kwargs["container_name"] - log.info("Creating blob storage at %s", container_name) + logger.info("Creating blob storage at %s", container_name) if container_name is None: msg = "No container name provided for blob storage." raise ValueError(msg) diff --git a/graphrag/storage/cosmosdb_pipeline_storage.py b/graphrag/storage/cosmosdb_pipeline_storage.py index 9815809414..83367ecbd4 100644 --- a/graphrag/storage/cosmosdb_pipeline_storage.py +++ b/graphrag/storage/cosmosdb_pipeline_storage.py @@ -23,7 +23,7 @@ get_timestamp_formatted_with_local_tz, ) -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class CosmosDBPipelineStorage(PipelineStorage): @@ -71,7 +71,7 @@ def __init__( else None ) self._no_id_prefixes = [] - log.info( + logger.info( "creating cosmosdb storage with account: %s and database: %s and container: %s", self._cosmosdb_account_name, self._database_name, @@ -133,7 +133,7 @@ def find( An iterator of document IDs and their corresponding regex matches. """ base_dir = base_dir or "" - log.info( + logger.info( "search container %s for documents matching %s", self._container_name, file_pattern.pattern, @@ -194,7 +194,7 @@ def item_filter(item: dict[str, Any]) -> bool: progress_status.total_items, ) except Exception: - log.exception( + logger.exception( "An error occurred while searching for documents in Cosmos DB." ) @@ -231,7 +231,7 @@ async def get( item_body = item.get("body") return json.dumps(item_body) except Exception: - log.exception("Error reading item %s", key) + logger.exception("Error reading item %s", key) return None async def set(self, key: str, value: Any, encoding: str | None = None) -> None: @@ -251,7 +251,7 @@ async def set(self, key: str, value: Any, encoding: str | None = None) -> None: orient="records", lines=False, force_ascii=False ) if value_json is None: - log.error("Error converting output %s to json", key) + logger.error("Error converting output %s to json", key) else: cosmosdb_item_list = json.loads(value_json) for index, cosmosdb_item in enumerate(cosmosdb_item_list): @@ -272,7 +272,7 @@ async def set(self, key: str, value: Any, encoding: str | None = None) -> None: } self._container_client.upsert_item(body=cosmosdb_item) except Exception: - log.exception("Error writing item %s", key) + logger.exception("Error writing item %s", key) async def has(self, key: str) -> bool: """Check if the contents of the given filename key exist in the cosmosdb storage.""" @@ -311,7 +311,7 @@ async def delete(self, key: str) -> None: except CosmosResourceNotFoundError: return except Exception: - log.exception("Error deleting item %s", key) + logger.exception("Error deleting item %s", key) async def clear(self) -> None: """Clear all contents from storage. @@ -345,7 +345,7 @@ async def get_creation_date(self, key: str) -> str: ) except Exception: - log.exception("Error getting key %s", key) + logger.exception("Error getting key %s", key) return "" @@ -353,7 +353,7 @@ async def get_creation_date(self, key: str) -> str: # once the new config system is in place and will enforce the correct types/existence of certain fields def create_cosmosdb_storage(**kwargs: Any) -> PipelineStorage: """Create a CosmosDB storage instance.""" - log.info("Creating cosmosdb storage") + logger.info("Creating cosmosdb storage") cosmosdb_account_url = kwargs.get("cosmosdb_account_url") connection_string = kwargs.get("connection_string") base_dir = kwargs["base_dir"] diff --git a/graphrag/storage/file_pipeline_storage.py b/graphrag/storage/file_pipeline_storage.py index 620a5a0daf..37e5de41ec 100644 --- a/graphrag/storage/file_pipeline_storage.py +++ b/graphrag/storage/file_pipeline_storage.py @@ -22,7 +22,7 @@ get_timestamp_formatted_with_local_tz, ) -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) class FilePipelineStorage(PipelineStorage): @@ -55,7 +55,9 @@ def item_filter(item: dict[str, Any]) -> bool: ) search_path = Path(self._root_dir) / (base_dir or "") - log.info("search %s for files matching %s", search_path, file_pattern.pattern) + logger.info( + "search %s for files matching %s", search_path, file_pattern.pattern + ) all_files = list(search_path.rglob("**/*")) num_loaded = 0 num_total = len(all_files) @@ -170,7 +172,7 @@ def join_path(file_path: str, file_name: str) -> Path: def create_file_storage(**kwargs: Any) -> PipelineStorage: """Create a file based storage.""" base_dir = kwargs["base_dir"] - log.info("Creating file storage at %s", base_dir) + logger.info("Creating file storage at %s", base_dir) return FilePipelineStorage(root_dir=base_dir) diff --git a/graphrag/utils/storage.py b/graphrag/utils/storage.py index caf8003fc5..8534330a15 100644 --- a/graphrag/utils/storage.py +++ b/graphrag/utils/storage.py @@ -10,7 +10,7 @@ from graphrag.storage.pipeline_storage import PipelineStorage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def load_table_from_storage(name: str, storage: PipelineStorage) -> pd.DataFrame: @@ -20,10 +20,10 @@ async def load_table_from_storage(name: str, storage: PipelineStorage) -> pd.Dat msg = f"Could not find {filename} in storage!" raise ValueError(msg) try: - log.info("reading table from storage: %s", filename) + logger.info("reading table from storage: %s", filename) return pd.read_parquet(BytesIO(await storage.get(filename, as_bytes=True))) except Exception: - log.exception("error loading table from storage: %s", filename) + logger.exception("error loading table from storage: %s", filename) raise diff --git a/tests/smoke/test_fixtures.py b/tests/smoke/test_fixtures.py index 094d135607..b71fbe7aa7 100644 --- a/tests/smoke/test_fixtures.py +++ b/tests/smoke/test_fixtures.py @@ -20,7 +20,7 @@ ) from graphrag.storage.blob_pipeline_storage import BlobPipelineStorage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) debug = os.environ.get("DEBUG") is not None gh_pages = os.environ.get("GH_PAGES") is not None @@ -143,7 +143,7 @@ def __run_indexer( "standard", ] command = [arg for arg in command if arg] - log.info("running command ", " ".join(command)) + logger.info("running command ", " ".join(command)) completion = subprocess.run( command, env={**os.environ, "GRAPHRAG_INPUT_FILE_TYPE": input_file_type} ) @@ -218,7 +218,7 @@ def __run_query(self, root: Path, query_config: dict[str, str]): query_config["query"], ] - log.info("running command ", " ".join(command)) + logger.info("running command ", " ".join(command)) return subprocess.run(command, capture_output=True, text=True) @cleanup(skip=debug) From 8dcfddf8cf08484589381ee71257303da1b0ef01 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 11:28:33 +0000 Subject: [PATCH 23/88] Replace logger parameter with log_level parameter in CLI commands Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/cli/index.py | 18 ++++++++++-------- graphrag/cli/main.py | 31 +++++++++++++++---------------- graphrag/cli/prompt_tune.py | 12 +++++++----- 3 files changed, 32 insertions(+), 29 deletions(-) diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index 28fbdc5bcd..98b5305a00 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -14,7 +14,6 @@ from graphrag.config.load_config import load_config from graphrag.config.logging import enable_logging_with_config from graphrag.index.validate_config import validate_config_names -from graphrag.logger.types import LoggerType from graphrag.utils.cli import redact # Ignore warnings from numba @@ -65,7 +64,7 @@ def index_cli( verbose: bool, memprofile: bool, cache: bool, - logger: LoggerType, + log_level: str, config_filepath: Path | None, dry_run: bool, skip_validation: bool, @@ -86,7 +85,7 @@ def index_cli( verbose=verbose, memprofile=memprofile, cache=cache, - logger=logger, + log_level=log_level, dry_run=dry_run, skip_validation=skip_validation, ) @@ -98,7 +97,7 @@ def update_cli( verbose: bool, memprofile: bool, cache: bool, - logger: LoggerType, + log_level: str, config_filepath: Path | None, skip_validation: bool, output_dir: Path | None, @@ -119,7 +118,7 @@ def update_cli( verbose=verbose, memprofile=memprofile, cache=cache, - logger=logger, + log_level=log_level, dry_run=False, skip_validation=skip_validation, ) @@ -132,12 +131,15 @@ def _run_index( verbose, memprofile, cache, - logger, + log_level, dry_run, skip_validation, ): - # logger parameter is kept for CLI compatibility but unused now (uses standard logging) - _ = logger # Suppress unused variable warning + # Configure the root logger with the specified log level + from graphrag.logger.standard_logging import configure_logging + + configure_logging(log_level=log_level) + progress_logger = logging.getLogger(__name__).getChild("progress") info, error, success = _logger_helper(progress_logger) diff --git a/graphrag/cli/main.py b/graphrag/cli/main.py index 7f0660d556..3741a5af89 100644 --- a/graphrag/cli/main.py +++ b/graphrag/cli/main.py @@ -12,7 +12,6 @@ from graphrag.config.defaults import graphrag_config_defaults from graphrag.config.enums import IndexingMethod, SearchMethod -from graphrag.logger.types import LoggerType from graphrag.prompt_tune.defaults import LIMIT, MAX_TOKEN_COUNT, N_SUBSET_MAX, K from graphrag.prompt_tune.types import DocSelectionType @@ -157,10 +156,10 @@ def _index_cli( "--memprofile", help="Run the indexing pipeline with memory profiling", ), - logger: LoggerType = typer.Option( - LoggerType.RICH.value, - "--logger", - help="The progress logger to use.", + log_level: str = typer.Option( + "INFO", + "--log-level", + help="The logging level to use for the root logger.", ), dry_run: bool = typer.Option( False, @@ -201,7 +200,7 @@ def _index_cli( verbose=verbose, memprofile=memprofile, cache=cache, - logger=LoggerType(logger), + log_level=log_level, config_filepath=config, dry_run=dry_run, skip_validation=skip_validation, @@ -250,10 +249,10 @@ def _update_cli( "--memprofile", help="Run the indexing pipeline with memory profiling.", ), - logger: LoggerType = typer.Option( - LoggerType.RICH.value, - "--logger", - help="The progress logger to use.", + log_level: str = typer.Option( + "INFO", + "--log-level", + help="The logging level to use for the root logger.", ), cache: bool = typer.Option( True, @@ -290,7 +289,7 @@ def _update_cli( verbose=verbose, memprofile=memprofile, cache=cache, - logger=LoggerType(logger), + log_level=log_level, config_filepath=config, skip_validation=skip_validation, output_dir=output, @@ -327,10 +326,10 @@ def _prompt_tune_cli( "-v", help="Run the prompt tuning pipeline with verbose logging.", ), - logger: LoggerType = typer.Option( - LoggerType.RICH.value, - "--logger", - help="The progress logger to use.", + log_level: str = typer.Option( + "INFO", + "--log-level", + help="The logging level to use for the root logger.", ), domain: str | None = typer.Option( None, @@ -413,7 +412,7 @@ def _prompt_tune_cli( config=config, domain=domain, verbose=verbose, - logger=logger, + log_level=log_level, selection_method=selection_method, limit=limit, max_tokens=max_tokens, diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index e83f3dcb38..2c76bad542 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -10,7 +10,6 @@ from graphrag.cli.index import _logger_helper from graphrag.config.load_config import load_config from graphrag.config.logging import enable_logging_with_config -from graphrag.logger.types import LoggerType from graphrag.prompt_tune.generator.community_report_summarization import ( COMMUNITY_SUMMARIZATION_FILENAME, ) @@ -28,7 +27,7 @@ async def prompt_tune( config: Path | None, domain: str | None, verbose: bool, - logger: LoggerType, + log_level: str, selection_method: api.DocSelectionType, limit: int, max_tokens: int, @@ -49,7 +48,7 @@ async def prompt_tune( - root: The root directory. - domain: The domain to map the input documents to. - verbose: Whether to enable verbose logging. - - logger: The logger to use. + - log_level: The log level to use for the root logger. - selection_method: The chunk selection method. - limit: The limit of chunks to load. - max_tokens: The maximum number of tokens to use on entity extraction prompts. @@ -71,8 +70,11 @@ async def prompt_tune( if overlap != graph_config.chunks.overlap: graph_config.chunks.overlap = overlap - # logger parameter is kept for CLI compatibility but unused now (uses standard logging) - _ = logger # Suppress unused variable warning + # Configure the root logger with the specified log level + from graphrag.logger.standard_logging import configure_logging + + configure_logging(log_level=log_level) + progress_logger = logging.getLogger("graphrag.cli.prompt_tune") info, error, success = _logger_helper(progress_logger) From f76d197fb04dd8f3fc38be8a7456b96d605a5454 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 12:04:17 +0000 Subject: [PATCH 24/88] Fix import ordering in notebook files to pass poetry poe check Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From 1ca728b3b68e50f1be49530fc99a5e1349a447df Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 12:25:07 +0000 Subject: [PATCH 25/88] Remove --logger parameter from smoke test command Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- tests/smoke/test_fixtures.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/tests/smoke/test_fixtures.py b/tests/smoke/test_fixtures.py index b71fbe7aa7..acb9012770 100644 --- a/tests/smoke/test_fixtures.py +++ b/tests/smoke/test_fixtures.py @@ -137,8 +137,6 @@ def __run_indexer( "--verbose" if debug else None, "--root", root.resolve().as_posix(), - "--logger", - "print", "--method", "standard", ] From e65891ad8064e42a6cfa7b67173cd28764102d7e Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 12:54:01 +0000 Subject: [PATCH 26/88] Fix Windows CI/CD issue with log file cleanup in tests Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/logger/standard_logging.py | 4 ++++ tests/unit/logger/test_standard_logging.py | 10 ++++++++++ 2 files changed, 14 insertions(+) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 4eee8e882b..a5ce3506b4 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -69,6 +69,10 @@ def configure_logging( # Clear any existing handlers to avoid duplicate logs if logger.hasHandlers(): + # Close file handlers properly before removing them + for handler in logger.handlers: + if isinstance(handler, logging.FileHandler): + handler.close() logger.handlers.clear() # Create formatter diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 6e4c8ed614..24b6fc4087 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -35,6 +35,13 @@ def test_file_logging(): content = f.read() assert test_message in content + # Close all file handlers to ensure proper cleanup on Windows + graphrag_logger = logging.getLogger("graphrag") + for handler in graphrag_logger.handlers[:]: + if isinstance(handler, logging.FileHandler): + handler.close() + graphrag_logger.removeHandler(handler) + def test_logger_hierarchy(): """Test that logger hierarchy works correctly.""" @@ -47,3 +54,6 @@ def test_logger_hierarchy(): # Setting level on root should affect children root_logger.setLevel(logging.ERROR) assert child_logger.getEffectiveLevel() == logging.ERROR + + # Clean up after test + root_logger.handlers.clear() From ee695d342418ae8f2d2c2dbcf57270728583c6f1 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 13:43:09 +0000 Subject: [PATCH 27/88] Add StreamHandler to root logger in __main__.py for CLI logging Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 ++- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- graphrag/__main__.py | 9 +++++++++ 3 files changed, 14 insertions(+), 4 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/__main__.py b/graphrag/__main__.py index faafaee5b2..5a5423b2a6 100644 --- a/graphrag/__main__.py +++ b/graphrag/__main__.py @@ -3,6 +3,15 @@ """The GraphRAG package.""" +import logging + from graphrag.cli.main import app +# Configure the root logger with a StreamHandler to ensure log messages +# are sent to standard streams when graphrag is run as a command line application +root_logger = logging.getLogger() +if not root_logger.hasHandlers(): + handler = logging.StreamHandler() + root_logger.addHandler(handler) + app(prog_name="graphrag") From 14acebe0661c09c95fca73e9383dadc1523864c5 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 14:05:54 +0000 Subject: [PATCH 28/88] Only add StreamHandler if root logger doesn't have existing StreamHandler Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/__main__.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/graphrag/__main__.py b/graphrag/__main__.py index 5a5423b2a6..12fff1cd2f 100644 --- a/graphrag/__main__.py +++ b/graphrag/__main__.py @@ -10,7 +10,11 @@ # Configure the root logger with a StreamHandler to ensure log messages # are sent to standard streams when graphrag is run as a command line application root_logger = logging.getLogger() -if not root_logger.hasHandlers(): +# Only add a StreamHandler if one doesn't already exist +has_stream_handler = any( + type(handler) is logging.StreamHandler for handler in root_logger.handlers +) +if not has_stream_handler: handler = logging.StreamHandler() root_logger.addHandler(handler) From 2f7abc15c5b006eed531f87938a7bd09712d830c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sat, 31 May 2025 16:01:29 +0000 Subject: [PATCH 29/88] Fix import ordering in notebook files to pass ruff checks Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From fe1a86022cb7cdd0b8a3bece695ee5fd0e31d04a Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sun, 1 Jun 2025 02:34:01 +0000 Subject: [PATCH 30/88] Replace logging.StreamHandler with colorlog.StreamHandler for colorized log output Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 ++- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- graphrag/__main__.py | 4 +++- pyproject.toml | 1 + 4 files changed, 9 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/__main__.py b/graphrag/__main__.py index 12fff1cd2f..e4375d6825 100644 --- a/graphrag/__main__.py +++ b/graphrag/__main__.py @@ -5,6 +5,8 @@ import logging +import colorlog + from graphrag.cli.main import app # Configure the root logger with a StreamHandler to ensure log messages @@ -15,7 +17,7 @@ type(handler) is logging.StreamHandler for handler in root_logger.handlers ) if not has_stream_handler: - handler = logging.StreamHandler() + handler = colorlog.StreamHandler() root_logger.addHandler(handler) app(prog_name="graphrag") diff --git a/pyproject.toml b/pyproject.toml index d7ab266f76..8448bb666f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -87,6 +87,7 @@ azure-storage-blob = "^12.24.0" future = "^1.0.0" # Needed until graspologic fixes their dependency typer = "^0.15.1" tqdm = "^4.67.1" +colorlog = "^6.9.0" textblob = "^0.18.0.post0" spacy = "^3.8.4" From b45ecb0f03a1f39ae9f3aa05bcea1cf1e1cd5d7a Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sun, 1 Jun 2025 02:56:41 +0000 Subject: [PATCH 31/88] Regenerate poetry.lock file after adding colorlog dependency Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- poetry.lock | 22 ++++++++++++++++++++-- 1 file changed, 20 insertions(+), 2 deletions(-) diff --git a/poetry.lock b/poetry.lock index 4c28d87615..74022ba754 100644 --- a/poetry.lock +++ b/poetry.lock @@ -791,7 +791,25 @@ files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -markers = {main = "sys_platform == \"win32\" or platform_system == \"Windows\""} +markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\""} + +[[package]] +name = "colorlog" +version = "6.9.0" +description = "Add colours to the output of Python's logging module." +optional = false +python-versions = ">=3.6" +groups = ["main"] +files = [ + {file = "colorlog-6.9.0-py3-none-any.whl", hash = "sha256:5906e71acd67cb07a71e779c47c4bcb45fb8c2993eebe9e5adcd6a6f1b283eff"}, + {file = "colorlog-6.9.0.tar.gz", hash = "sha256:bfba54a1b93b94f54e1f4fe48395725a3d92fd2a4af702f6bd70946bdc0c6ac2"}, +] + +[package.dependencies] +colorama = {version = "*", markers = "sys_platform == \"win32\""} + +[package.extras] +development = ["black", "flake8", "mypy", "pytest", "types-colorama"] [[package]] name = "comm" @@ -6190,4 +6208,4 @@ files = [ [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "792bfa0ef62162582c1e5803f62137b9a4ca9724452852be38d1c69cab4a4a4d" +content-hash = "024de5e95df6ef52dc0de23000487186924d63e4850ad5d029b75f62c1d47fcc" From e0cb059391fa9a2236f354e513f143b45d23c8df Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Sun, 1 Jun 2025 04:39:41 +0000 Subject: [PATCH 32/88] Fix import ordering in notebook files to pass ruff checks Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From 38776a841e174b7e7ec7094d7950b8957ec1d2d1 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 08:40:01 -0400 Subject: [PATCH 33/88] move printing of dataframes to debug level --- graphrag/api/index.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 56bed43f22..e8308616b2 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -74,7 +74,7 @@ async def build_index( logger.error("Workflow %s completed with errors", output.workflow) else: logger.info("Workflow %s completed successfully", output.workflow) - logger.info(str(output.result)) + logger.debug(str(output.result)) workflow_callbacks.pipeline_end(outputs) return outputs From d7611333b544ec330b589ffe57a9c3bda9bf1bfe Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 08:40:36 -0400 Subject: [PATCH 34/88] remove colorlog for now --- graphrag/__main__.py | 10 ++++------ poetry.lock | 22 ++-------------------- pyproject.toml | 1 - 3 files changed, 6 insertions(+), 27 deletions(-) diff --git a/graphrag/__main__.py b/graphrag/__main__.py index e4375d6825..39f7ca0d46 100644 --- a/graphrag/__main__.py +++ b/graphrag/__main__.py @@ -5,19 +5,17 @@ import logging -import colorlog - from graphrag.cli.main import app # Configure the root logger with a StreamHandler to ensure log messages # are sent to standard streams when graphrag is run as a command line application -root_logger = logging.getLogger() +_root_logger = logging.getLogger() # Only add a StreamHandler if one doesn't already exist has_stream_handler = any( - type(handler) is logging.StreamHandler for handler in root_logger.handlers + type(handler) is logging.StreamHandler for handler in _root_logger.handlers ) if not has_stream_handler: - handler = colorlog.StreamHandler() - root_logger.addHandler(handler) + handler = logging.StreamHandler() + _root_logger.addHandler(handler) app(prog_name="graphrag") diff --git a/poetry.lock b/poetry.lock index 74022ba754..4c28d87615 100644 --- a/poetry.lock +++ b/poetry.lock @@ -791,25 +791,7 @@ files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\""} - -[[package]] -name = "colorlog" -version = "6.9.0" -description = "Add colours to the output of Python's logging module." -optional = false -python-versions = ">=3.6" -groups = ["main"] -files = [ - {file = "colorlog-6.9.0-py3-none-any.whl", hash = "sha256:5906e71acd67cb07a71e779c47c4bcb45fb8c2993eebe9e5adcd6a6f1b283eff"}, - {file = "colorlog-6.9.0.tar.gz", hash = "sha256:bfba54a1b93b94f54e1f4fe48395725a3d92fd2a4af702f6bd70946bdc0c6ac2"}, -] - -[package.dependencies] -colorama = {version = "*", markers = "sys_platform == \"win32\""} - -[package.extras] -development = ["black", "flake8", "mypy", "pytest", "types-colorama"] +markers = {main = "sys_platform == \"win32\" or platform_system == \"Windows\""} [[package]] name = "comm" @@ -6208,4 +6190,4 @@ files = [ [metadata] lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "024de5e95df6ef52dc0de23000487186924d63e4850ad5d029b75f62c1d47fcc" +content-hash = "792bfa0ef62162582c1e5803f62137b9a4ca9724452852be38d1c69cab4a4a4d" diff --git a/pyproject.toml b/pyproject.toml index 8448bb666f..d7ab266f76 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -87,7 +87,6 @@ azure-storage-blob = "^12.24.0" future = "^1.0.0" # Needed until graspologic fixes their dependency typer = "^0.15.1" tqdm = "^4.67.1" -colorlog = "^6.9.0" textblob = "^0.18.0.post0" spacy = "^3.8.4" From e427bda13acfc708490e4d74788ec0a82a9d2020 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 2 Jun 2025 15:46:31 +0000 Subject: [PATCH 35/88] Refactor workflow callbacks to inherit from logging.Handler Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/callbacks/blob_workflow_callbacks.py | 86 ++++++---- .../callbacks/console_workflow_callbacks.py | 62 ++++--- graphrag/callbacks/file_workflow_callbacks.py | 126 +++++++------- graphrag/callbacks/workflow_handler_base.py | 157 ++++++++++++++++++ 4 files changed, 313 insertions(+), 118 deletions(-) create mode 100644 graphrag/callbacks/workflow_handler_base.py diff --git a/graphrag/callbacks/blob_workflow_callbacks.py b/graphrag/callbacks/blob_workflow_callbacks.py index 04e033f0d6..c152026142 100644 --- a/graphrag/callbacks/blob_workflow_callbacks.py +++ b/graphrag/callbacks/blob_workflow_callbacks.py @@ -4,18 +4,28 @@ """A logger that emits updates from the indexing engine to a blob in Azure Storage.""" import json +import logging from datetime import datetime, timezone from pathlib import Path from typing import Any -from azure.identity import DefaultAzureCredential -from azure.storage.blob import BlobServiceClient +try: + from azure.identity import DefaultAzureCredential + from azure.storage.blob import BlobServiceClient + _AZURE_AVAILABLE = True +except ImportError: + _AZURE_AVAILABLE = False + # Create dummy classes for type hints when azure is not available + class DefaultAzureCredential: # type: ignore + pass + class BlobServiceClient: # type: ignore + pass -from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks +from graphrag.callbacks.workflow_handler_base import WorkflowHandlerBase -class BlobWorkflowCallbacks(NoopWorkflowCallbacks): - """A logger that writes to a blob storage account.""" +class BlobWorkflowCallbacks(WorkflowHandlerBase): + """A workflow callback handler that writes to a blob storage account.""" _blob_service_client: BlobServiceClient _container_name: str @@ -28,16 +38,25 @@ def __init__( blob_name: str = "", base_dir: str | None = None, storage_account_blob_url: str | None = None, + level: int = logging.NOTSET, ): - """Create a new instance of the BlobStorageReporter class.""" + """Create a new instance of the BlobWorkflowCallbacks class.""" + super().__init__(level) + + if not _AZURE_AVAILABLE: + msg = "Azure dependencies are not installed. Install graphrag with azure extras." + raise ImportError(msg) + if container_name is None: msg = "No container name provided for blob storage." raise ValueError(msg) if connection_string is None and storage_account_blob_url is None: msg = "No storage account blob url provided for blob storage." raise ValueError(msg) + self._connection_string = connection_string self._storage_account_blob_url = storage_account_blob_url + if self._connection_string: self._blob_service_client = BlobServiceClient.from_connection_string( self._connection_string @@ -65,7 +84,38 @@ def __init__( self._num_blocks = 0 # refresh block counter + def emit(self, record): + """Emit a log record to blob storage.""" + try: + # Create JSON structure based on record + log_data = { + "type": self._get_log_type(record.levelno), + "data": record.getMessage(), + } + + # Add additional fields if they exist + if hasattr(record, 'details') and record.details: + log_data["details"] = record.details + if record.exc_info and record.exc_info[1]: + log_data["cause"] = str(record.exc_info[1]) + if hasattr(record, 'stack') and record.stack: + log_data["stack"] = record.stack + + self._write_log(log_data) + except Exception: + self.handleError(record) + + def _get_log_type(self, level: int) -> str: + """Get log type string based on log level.""" + if level >= logging.ERROR: + return "error" + elif level >= logging.WARNING: + return "warning" + else: + return "log" + def _write_log(self, log: dict[str, Any]): + """Write log data to blob storage.""" # create a new file when block count hits close 25k if ( self._num_blocks >= self._max_block_count @@ -83,27 +133,3 @@ def _write_log(self, log: dict[str, Any]): # update the blob's block count self._num_blocks += 1 - - def error( - self, - message: str, - cause: BaseException | None = None, - stack: str | None = None, - details: dict | None = None, - ): - """Report an error.""" - self._write_log({ - "type": "error", - "data": message, - "cause": str(cause), - "stack": stack, - "details": details, - }) - - def warning(self, message: str, details: dict | None = None): - """Report a warning.""" - self._write_log({"type": "warning", "data": message, "details": details}) - - def log(self, message: str, details: dict | None = None): - """Report a generic log message.""" - self._write_log({"type": "log", "data": message, "details": details}) diff --git a/graphrag/callbacks/console_workflow_callbacks.py b/graphrag/callbacks/console_workflow_callbacks.py index b1478085de..1e0c7a21ac 100644 --- a/graphrag/callbacks/console_workflow_callbacks.py +++ b/graphrag/callbacks/console_workflow_callbacks.py @@ -3,30 +3,38 @@ """A logger that emits updates from the indexing engine to the console.""" -from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks - - -class ConsoleWorkflowCallbacks(NoopWorkflowCallbacks): - """A logger that writes to a console.""" - - def error( - self, - message: str, - cause: BaseException | None = None, - stack: str | None = None, - details: dict | None = None, - ): - """Handle when an error occurs.""" - print(message, str(cause), stack, details) # noqa T201 - - def warning(self, message: str, details: dict | None = None): - """Handle when a warning occurs.""" - _print_warning(message) - - def log(self, message: str, details: dict | None = None): - """Handle when a log message is produced.""" - print(message, details) # noqa T201 - - -def _print_warning(skk): - print("\033[93m {}\033[00m".format(skk)) # noqa T201 +import logging +import sys + +from graphrag.callbacks.workflow_handler_base import WorkflowHandlerBase + + +class ConsoleWorkflowCallbacks(WorkflowHandlerBase): + """A workflow callback handler that writes to console using StreamHandler.""" + + def __init__(self, level: int = logging.NOTSET): + """Initialize the console handler.""" + super().__init__(level) + # Use a StreamHandler for actual console output + self._stream_handler = logging.StreamHandler(sys.stdout) + + # Set up a formatter for console output + formatter = logging.Formatter( + '%(asctime)s - %(name)s - %(levelname)s - %(message)s' + ) + self._stream_handler.setFormatter(formatter) + + def emit(self, record): + """Emit a log record using the underlying StreamHandler.""" + # For warning records, add color formatting if the message is just a warning + if record.levelno == logging.WARNING and hasattr(record, 'details'): + # Apply warning color formatting similar to original + formatted_msg = f"\033[93m{record.getMessage()}\033[00m" + # Create a new record with the colored message + colored_record = logging.LogRecord( + record.name, record.levelno, record.pathname, record.lineno, + formatted_msg, (), record.exc_info + ) + self._stream_handler.emit(colored_record) + else: + self._stream_handler.emit(record) diff --git a/graphrag/callbacks/file_workflow_callbacks.py b/graphrag/callbacks/file_workflow_callbacks.py index 97a69f31c7..9a935e5da9 100644 --- a/graphrag/callbacks/file_workflow_callbacks.py +++ b/graphrag/callbacks/file_workflow_callbacks.py @@ -5,74 +5,78 @@ import json import logging -from io import TextIOWrapper from pathlib import Path -from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks +from graphrag.callbacks.workflow_handler_base import WorkflowHandlerBase -logger = logging.getLogger(__name__) +class WorkflowJSONFileHandler(logging.FileHandler): + """A FileHandler that formats log records as JSON for workflow callbacks.""" + + def emit(self, record): + """Emit a log record as JSON.""" + try: + # Create JSON structure based on record type + log_data = { + "type": self._get_log_type(record.levelno), + "data": record.getMessage(), + } + + # Add additional fields if they exist + if hasattr(record, 'details') and record.details: + log_data["details"] = record.details + if record.exc_info and record.exc_info[1]: + log_data["source"] = str(record.exc_info[1]) + if hasattr(record, 'stack') and record.stack: + log_data["stack"] = record.stack + + # Write JSON to file + json_str = json.dumps(log_data, indent=4, ensure_ascii=False) + "\n" + + if self.stream is None: + self.stream = self._open() + self.stream.write(json_str) + self.flush() + except Exception: + self.handleError(record) + + def _get_log_type(self, level: int) -> str: + """Get log type string based on log level.""" + if level >= logging.ERROR: + return "error" + elif level >= logging.WARNING: + return "warning" + else: + return "log" -class FileWorkflowCallbacks(NoopWorkflowCallbacks): - """A logger that writes to a local file.""" - _out_stream: TextIOWrapper +class FileWorkflowCallbacks(WorkflowHandlerBase): + """A workflow callback handler that writes to a local file using FileHandler.""" - def __init__(self, directory: str): - """Create a new file-based workflow logger.""" + def __init__(self, directory: str, level: int = logging.NOTSET): + """Create a new file-based workflow handler.""" + super().__init__(level) + + # Ensure directory exists Path(directory).mkdir(parents=True, exist_ok=True) - self._out_stream = open( # noqa: PTH123, SIM115 - Path(directory) / "logs.json", "a", encoding="utf-8", errors="strict" - ) + + # Create the JSON file handler + log_file_path = Path(directory) / "logs.json" + self._file_handler = WorkflowJSONFileHandler(str(log_file_path), mode='a') + + # Also create a regular logger for backwards compatibility + self._logger = logging.getLogger(__name__) - def error( - self, - message: str, - cause: BaseException | None = None, - stack: str | None = None, - details: dict | None = None, - ): - """Handle when an error occurs.""" - self._out_stream.write( - json.dumps( - { - "type": "error", - "data": message, - "stack": stack, - "source": str(cause), - "details": details, - }, - indent=4, - ensure_ascii=False, - ) - + "\n" - ) - message = f"{message} details={details}" - logger.info(message) + def emit(self, record): + """Emit a log record using the underlying FileHandler.""" + # Emit to the JSON file + self._file_handler.emit(record) + + # Also emit to regular logger for backwards compatibility + if record.levelno >= logging.WARNING: + self._logger.log(record.levelno, record.getMessage()) - def warning(self, message: str, details: dict | None = None): - """Handle when a warning occurs.""" - self._out_stream.write( - json.dumps( - {"type": "warning", "data": message, "details": details}, - ensure_ascii=False, - ) - + "\n" - ) - _print_warning(message) - - def log(self, message: str, details: dict | None = None): - """Handle when a log message is produced.""" - self._out_stream.write( - json.dumps( - {"type": "log", "data": message, "details": details}, ensure_ascii=False - ) - + "\n" - ) - - message = f"{message} details={details}" - logger.info(message) - - -def _print_warning(skk): - logger.warning(skk) + def close(self): + """Close the file handler.""" + super().close() + self._file_handler.close() diff --git a/graphrag/callbacks/workflow_handler_base.py b/graphrag/callbacks/workflow_handler_base.py new file mode 100644 index 0000000000..28523c062a --- /dev/null +++ b/graphrag/callbacks/workflow_handler_base.py @@ -0,0 +1,157 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""Base class for workflow callbacks that inherit from logging.Handler.""" + +import logging +from typing import Any + +from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks +from graphrag.index.typing.pipeline_run_result import PipelineRunResult +from graphrag.logger.progress import Progress + + +class WorkflowHandlerBase(logging.Handler, WorkflowCallbacks): + """Base class for workflow callbacks that inherit from logging.Handler.""" + + def __init__(self, level: int = logging.NOTSET): + """Initialize the handler.""" + super().__init__(level) + + def pipeline_start(self, names: list[str]) -> None: + """Execute this callback to signal when the entire pipeline starts.""" + record = logging.LogRecord( + name="graphrag.pipeline", + level=logging.INFO, + pathname="", + lineno=0, + msg="Pipeline started: %s", + args=(names,), + exc_info=None, + ) + self.emit(record) + + def pipeline_end(self, results: list[PipelineRunResult]) -> None: + """Execute this callback to signal when the entire pipeline ends.""" + record = logging.LogRecord( + name="graphrag.pipeline", + level=logging.INFO, + pathname="", + lineno=0, + msg="Pipeline completed with %d workflows", + args=(len(results),), + exc_info=None, + ) + self.emit(record) + + def workflow_start(self, name: str, instance: object) -> None: + """Execute this callback when a workflow starts.""" + record = logging.LogRecord( + name="graphrag.workflow", + level=logging.INFO, + pathname="", + lineno=0, + msg="Workflow started: %s", + args=(name,), + exc_info=None, + ) + self.emit(record) + + def workflow_end(self, name: str, instance: object) -> None: + """Execute this callback when a workflow ends.""" + record = logging.LogRecord( + name="graphrag.workflow", + level=logging.INFO, + pathname="", + lineno=0, + msg="Workflow completed: %s", + args=(name,), + exc_info=None, + ) + self.emit(record) + + def progress(self, progress: Progress) -> None: + """Handle when progress occurs.""" + record = logging.LogRecord( + name="graphrag.progress", + level=logging.DEBUG, + pathname="", + lineno=0, + msg="Progress: %s", + args=(str(progress),), + exc_info=None, + ) + self.emit(record) + + def error( + self, + message: str, + cause: BaseException | None = None, + stack: str | None = None, + details: dict | None = None, + ) -> None: + """Handle when an error occurs.""" + # Create error message with details + full_message = message + if details: + full_message = f"{message} details={details}" + + record = logging.LogRecord( + name="graphrag.error", + level=logging.ERROR, + pathname="", + lineno=0, + msg=full_message, + args=(), + exc_info=(type(cause), cause, None) if cause else None, + ) + + # Add custom attributes for stack and details + if stack: + record.stack = stack # type: ignore + if details: + record.details = details # type: ignore + + self.emit(record) + + def warning(self, message: str, details: dict | None = None) -> None: + """Handle when a warning occurs.""" + full_message = message + if details: + full_message = f"{message} details={details}" + + record = logging.LogRecord( + name="graphrag.warning", + level=logging.WARNING, + pathname="", + lineno=0, + msg=full_message, + args=(), + exc_info=None, + ) + + if details: + record.details = details # type: ignore + + self.emit(record) + + def log(self, message: str, details: dict | None = None) -> None: + """Handle when a log message occurs.""" + full_message = message + if details: + full_message = f"{message} details={details}" + + record = logging.LogRecord( + name="graphrag.log", + level=logging.INFO, + pathname="", + lineno=0, + msg=full_message, + args=(), + exc_info=None, + ) + + if details: + record.details = details # type: ignore + + self.emit(record) \ No newline at end of file From 394683d4f8b02116fb20913bb90c363748a15df4 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 2 Jun 2025 15:48:05 +0000 Subject: [PATCH 36/88] Fix linting issues in workflow callback handlers Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/callbacks/blob_workflow_callbacks.py | 31 +++++++++-------- .../callbacks/console_workflow_callbacks.py | 15 ++++++--- graphrag/callbacks/file_workflow_callbacks.py | 33 +++++++++---------- graphrag/callbacks/workflow_handler_base.py | 23 +++++++------ 4 files changed, 54 insertions(+), 48 deletions(-) diff --git a/graphrag/callbacks/blob_workflow_callbacks.py b/graphrag/callbacks/blob_workflow_callbacks.py index c152026142..8de34df21f 100644 --- a/graphrag/callbacks/blob_workflow_callbacks.py +++ b/graphrag/callbacks/blob_workflow_callbacks.py @@ -12,14 +12,18 @@ try: from azure.identity import DefaultAzureCredential from azure.storage.blob import BlobServiceClient + _AZURE_AVAILABLE = True except ImportError: _AZURE_AVAILABLE = False + # Create dummy classes for type hints when azure is not available class DefaultAzureCredential: # type: ignore - pass + """Dummy class when Azure is not available.""" + class BlobServiceClient: # type: ignore - pass + """Dummy class when Azure is not available.""" + from graphrag.callbacks.workflow_handler_base import WorkflowHandlerBase @@ -42,21 +46,21 @@ def __init__( ): """Create a new instance of the BlobWorkflowCallbacks class.""" super().__init__(level) - + if not _AZURE_AVAILABLE: msg = "Azure dependencies are not installed. Install graphrag with azure extras." raise ImportError(msg) - + if container_name is None: msg = "No container name provided for blob storage." raise ValueError(msg) if connection_string is None and storage_account_blob_url is None: msg = "No storage account blob url provided for blob storage." raise ValueError(msg) - + self._connection_string = connection_string self._storage_account_blob_url = storage_account_blob_url - + if self._connection_string: self._blob_service_client = BlobServiceClient.from_connection_string( self._connection_string @@ -92,27 +96,26 @@ def emit(self, record): "type": self._get_log_type(record.levelno), "data": record.getMessage(), } - + # Add additional fields if they exist - if hasattr(record, 'details') and record.details: + if hasattr(record, "details") and record.details: log_data["details"] = record.details if record.exc_info and record.exc_info[1]: log_data["cause"] = str(record.exc_info[1]) - if hasattr(record, 'stack') and record.stack: + if hasattr(record, "stack") and record.stack: log_data["stack"] = record.stack - + self._write_log(log_data) - except Exception: + except (OSError, ValueError): self.handleError(record) def _get_log_type(self, level: int) -> str: """Get log type string based on log level.""" if level >= logging.ERROR: return "error" - elif level >= logging.WARNING: + if level >= logging.WARNING: return "warning" - else: - return "log" + return "log" def _write_log(self, log: dict[str, Any]): """Write log data to blob storage.""" diff --git a/graphrag/callbacks/console_workflow_callbacks.py b/graphrag/callbacks/console_workflow_callbacks.py index 1e0c7a21ac..ff58ae5ddd 100644 --- a/graphrag/callbacks/console_workflow_callbacks.py +++ b/graphrag/callbacks/console_workflow_callbacks.py @@ -17,23 +17,28 @@ def __init__(self, level: int = logging.NOTSET): super().__init__(level) # Use a StreamHandler for actual console output self._stream_handler = logging.StreamHandler(sys.stdout) - + # Set up a formatter for console output formatter = logging.Formatter( - '%(asctime)s - %(name)s - %(levelname)s - %(message)s' + "%(asctime)s - %(name)s - %(levelname)s - %(message)s" ) self._stream_handler.setFormatter(formatter) def emit(self, record): """Emit a log record using the underlying StreamHandler.""" # For warning records, add color formatting if the message is just a warning - if record.levelno == logging.WARNING and hasattr(record, 'details'): + if record.levelno == logging.WARNING and hasattr(record, "details"): # Apply warning color formatting similar to original formatted_msg = f"\033[93m{record.getMessage()}\033[00m" # Create a new record with the colored message colored_record = logging.LogRecord( - record.name, record.levelno, record.pathname, record.lineno, - formatted_msg, (), record.exc_info + record.name, + record.levelno, + record.pathname, + record.lineno, + formatted_msg, + (), + record.exc_info, ) self._stream_handler.emit(colored_record) else: diff --git a/graphrag/callbacks/file_workflow_callbacks.py b/graphrag/callbacks/file_workflow_callbacks.py index 9a935e5da9..7ee3cb6399 100644 --- a/graphrag/callbacks/file_workflow_callbacks.py +++ b/graphrag/callbacks/file_workflow_callbacks.py @@ -12,7 +12,7 @@ class WorkflowJSONFileHandler(logging.FileHandler): """A FileHandler that formats log records as JSON for workflow callbacks.""" - + def emit(self, record): """Emit a log record as JSON.""" try: @@ -21,33 +21,32 @@ def emit(self, record): "type": self._get_log_type(record.levelno), "data": record.getMessage(), } - + # Add additional fields if they exist - if hasattr(record, 'details') and record.details: + if hasattr(record, "details") and record.details: log_data["details"] = record.details if record.exc_info and record.exc_info[1]: log_data["source"] = str(record.exc_info[1]) - if hasattr(record, 'stack') and record.stack: + if hasattr(record, "stack") and record.stack: log_data["stack"] = record.stack - + # Write JSON to file json_str = json.dumps(log_data, indent=4, ensure_ascii=False) + "\n" - + if self.stream is None: self.stream = self._open() self.stream.write(json_str) self.flush() - except Exception: + except (OSError, ValueError): self.handleError(record) - + def _get_log_type(self, level: int) -> str: """Get log type string based on log level.""" if level >= logging.ERROR: return "error" - elif level >= logging.WARNING: + if level >= logging.WARNING: return "warning" - else: - return "log" + return "log" class FileWorkflowCallbacks(WorkflowHandlerBase): @@ -56,14 +55,14 @@ class FileWorkflowCallbacks(WorkflowHandlerBase): def __init__(self, directory: str, level: int = logging.NOTSET): """Create a new file-based workflow handler.""" super().__init__(level) - + # Ensure directory exists Path(directory).mkdir(parents=True, exist_ok=True) - + # Create the JSON file handler log_file_path = Path(directory) / "logs.json" - self._file_handler = WorkflowJSONFileHandler(str(log_file_path), mode='a') - + self._file_handler = WorkflowJSONFileHandler(str(log_file_path), mode="a") + # Also create a regular logger for backwards compatibility self._logger = logging.getLogger(__name__) @@ -71,8 +70,8 @@ def emit(self, record): """Emit a log record using the underlying FileHandler.""" # Emit to the JSON file self._file_handler.emit(record) - - # Also emit to regular logger for backwards compatibility + + # Also emit to regular logger for backwards compatibility if record.levelno >= logging.WARNING: self._logger.log(record.levelno, record.getMessage()) diff --git a/graphrag/callbacks/workflow_handler_base.py b/graphrag/callbacks/workflow_handler_base.py index 28523c062a..8988c5387b 100644 --- a/graphrag/callbacks/workflow_handler_base.py +++ b/graphrag/callbacks/workflow_handler_base.py @@ -4,7 +4,6 @@ """Base class for workflow callbacks that inherit from logging.Handler.""" import logging -from typing import Any from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.index.typing.pipeline_run_result import PipelineRunResult @@ -17,7 +16,7 @@ class WorkflowHandlerBase(logging.Handler, WorkflowCallbacks): def __init__(self, level: int = logging.NOTSET): """Initialize the handler.""" super().__init__(level) - + def pipeline_start(self, names: list[str]) -> None: """Execute this callback to signal when the entire pipeline starts.""" record = logging.LogRecord( @@ -95,7 +94,7 @@ def error( full_message = message if details: full_message = f"{message} details={details}" - + record = logging.LogRecord( name="graphrag.error", level=logging.ERROR, @@ -105,13 +104,13 @@ def error( args=(), exc_info=(type(cause), cause, None) if cause else None, ) - + # Add custom attributes for stack and details if stack: record.stack = stack # type: ignore if details: record.details = details # type: ignore - + self.emit(record) def warning(self, message: str, details: dict | None = None) -> None: @@ -119,7 +118,7 @@ def warning(self, message: str, details: dict | None = None) -> None: full_message = message if details: full_message = f"{message} details={details}" - + record = logging.LogRecord( name="graphrag.warning", level=logging.WARNING, @@ -129,10 +128,10 @@ def warning(self, message: str, details: dict | None = None) -> None: args=(), exc_info=None, ) - + if details: record.details = details # type: ignore - + self.emit(record) def log(self, message: str, details: dict | None = None) -> None: @@ -140,7 +139,7 @@ def log(self, message: str, details: dict | None = None) -> None: full_message = message if details: full_message = f"{message} details={details}" - + record = logging.LogRecord( name="graphrag.log", level=logging.INFO, @@ -150,8 +149,8 @@ def log(self, message: str, details: dict | None = None) -> None: args=(), exc_info=None, ) - + if details: record.details = details # type: ignore - - self.emit(record) \ No newline at end of file + + self.emit(record) From c777f02a82baa9ea62e2851af310fffb2143c9af Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 2 Jun 2025 18:46:24 +0000 Subject: [PATCH 37/88] Fix pyright type errors in blob and file workflow callbacks Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/callbacks/blob_workflow_callbacks.py | 39 +++++++++++-------- graphrag/callbacks/file_workflow_callbacks.py | 8 ++-- 2 files changed, 27 insertions(+), 20 deletions(-) diff --git a/graphrag/callbacks/blob_workflow_callbacks.py b/graphrag/callbacks/blob_workflow_callbacks.py index 8de34df21f..4d498318f6 100644 --- a/graphrag/callbacks/blob_workflow_callbacks.py +++ b/graphrag/callbacks/blob_workflow_callbacks.py @@ -10,8 +10,12 @@ from typing import Any try: - from azure.identity import DefaultAzureCredential - from azure.storage.blob import BlobServiceClient + from azure.identity import ( + DefaultAzureCredential, # type: ignore[reportAssignmentType] + ) + from azure.storage.blob import ( + BlobServiceClient, # type: ignore[reportAssignmentType] + ) _AZURE_AVAILABLE = True except ImportError: @@ -21,6 +25,9 @@ class DefaultAzureCredential: # type: ignore """Dummy class when Azure is not available.""" + def __init__(self): # type: ignore + """Initialize dummy credential.""" + class BlobServiceClient: # type: ignore """Dummy class when Azure is not available.""" @@ -31,7 +38,7 @@ class BlobServiceClient: # type: ignore class BlobWorkflowCallbacks(WorkflowHandlerBase): """A workflow callback handler that writes to a blob storage account.""" - _blob_service_client: BlobServiceClient + _blob_service_client: "BlobServiceClient" _container_name: str _max_block_count: int = 25000 # 25k blocks per blob @@ -62,7 +69,7 @@ def __init__( self._storage_account_blob_url = storage_account_blob_url if self._connection_string: - self._blob_service_client = BlobServiceClient.from_connection_string( + self._blob_service_client = BlobServiceClient.from_connection_string( # type: ignore[reportAttributeAccessIssue,reportAssignmentType] self._connection_string ) else: @@ -70,9 +77,9 @@ def __init__( msg = "Either connection_string or storage_account_blob_url must be provided." raise ValueError(msg) - self._blob_service_client = BlobServiceClient( - storage_account_blob_url, - credential=DefaultAzureCredential(), + self._blob_service_client = BlobServiceClient( # type: ignore[reportCallIssue,reportAssignmentType] + storage_account_blob_url, # type: ignore[reportCallIssue] + credential=DefaultAzureCredential(), # type: ignore[reportCallIssue,reportAssignmentType] ) if blob_name == "": @@ -80,11 +87,11 @@ def __init__( self._blob_name = str(Path(base_dir or "") / blob_name) self._container_name = container_name - self._blob_client = self._blob_service_client.get_blob_client( + self._blob_client = self._blob_service_client.get_blob_client( # type: ignore[reportAttributeAccessIssue] self._container_name, self._blob_name ) - if not self._blob_client.exists(): - self._blob_client.create_append_blob() + if not self._blob_client.exists(): # type: ignore[reportAttributeAccessIssue] + self._blob_client.create_append_blob() # type: ignore[reportAttributeAccessIssue] self._num_blocks = 0 # refresh block counter @@ -98,12 +105,12 @@ def emit(self, record): } # Add additional fields if they exist - if hasattr(record, "details") and record.details: - log_data["details"] = record.details + if hasattr(record, "details") and record.details: # type: ignore[reportAttributeAccessIssue] + log_data["details"] = record.details # type: ignore[reportAttributeAccessIssue] if record.exc_info and record.exc_info[1]: log_data["cause"] = str(record.exc_info[1]) - if hasattr(record, "stack") and record.stack: - log_data["stack"] = record.stack + if hasattr(record, "stack") and record.stack: # type: ignore[reportAttributeAccessIssue] + log_data["stack"] = record.stack # type: ignore[reportAttributeAccessIssue] self._write_log(log_data) except (OSError, ValueError): @@ -129,10 +136,10 @@ def _write_log(self, log: dict[str, Any]): storage_account_blob_url=self._storage_account_blob_url, ) - blob_client = self._blob_service_client.get_blob_client( + blob_client = self._blob_service_client.get_blob_client( # type: ignore[reportAttributeAccessIssue] self._container_name, self._blob_name ) - blob_client.append_block(json.dumps(log, indent=4, ensure_ascii=False) + "\n") + blob_client.append_block(json.dumps(log, indent=4, ensure_ascii=False) + "\n") # type: ignore[reportAttributeAccessIssue] # update the blob's block count self._num_blocks += 1 diff --git a/graphrag/callbacks/file_workflow_callbacks.py b/graphrag/callbacks/file_workflow_callbacks.py index 7ee3cb6399..34c0ff0420 100644 --- a/graphrag/callbacks/file_workflow_callbacks.py +++ b/graphrag/callbacks/file_workflow_callbacks.py @@ -23,12 +23,12 @@ def emit(self, record): } # Add additional fields if they exist - if hasattr(record, "details") and record.details: - log_data["details"] = record.details + if hasattr(record, "details") and record.details: # type: ignore[reportAttributeAccessIssue] + log_data["details"] = record.details # type: ignore[reportAttributeAccessIssue] if record.exc_info and record.exc_info[1]: log_data["source"] = str(record.exc_info[1]) - if hasattr(record, "stack") and record.stack: - log_data["stack"] = record.stack + if hasattr(record, "stack") and record.stack: # type: ignore[reportAttributeAccessIssue] + log_data["stack"] = record.stack # type: ignore[reportAttributeAccessIssue] # Write JSON to file json_str = json.dumps(log_data, indent=4, ensure_ascii=False) + "\n" From f923c90bab384ffe64bdef21800882f5675d7c41 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 2 Jun 2025 19:58:53 +0000 Subject: [PATCH 38/88] Refactor pipeline logging to use pure logging.Handler subclasses Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../index_migration_to_v1.ipynb | 3 +- .../graph-visualization.ipynb | 6 +- graphrag/api/index.py | 22 +++-- graphrag/callbacks/blob_workflow_callbacks.py | 7 +- .../callbacks/console_workflow_callbacks.py | 19 ++--- graphrag/callbacks/file_workflow_callbacks.py | 28 +------ .../callbacks/logging_workflow_callbacks.py | 83 +++++++++++++++++++ graphrag/callbacks/reporting.py | 34 +++++--- 8 files changed, 139 insertions(+), 63 deletions(-) create mode 100644 graphrag/callbacks/logging_workflow_callbacks.py diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/api/index.py b/graphrag/api/index.py index e8308616b2..ac835baec9 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -10,8 +10,8 @@ import logging -from graphrag.callbacks.reporting import create_pipeline_reporter -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks +from graphrag.callbacks.logging_workflow_callbacks import LoggingWorkflowCallbacks +from graphrag.callbacks.reporting import create_pipeline_logger from graphrag.config.enums import IndexingMethod from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.index.run.run_pipeline import run_pipeline @@ -28,7 +28,7 @@ async def build_index( method: IndexingMethod = IndexingMethod.Standard, is_update_run: bool = False, memory_profile: bool = False, - callbacks: list[WorkflowCallbacks] | None = None, + callbacks: list | None = None, ) -> list[PipelineRunResult]: """Run the pipeline with the given configuration. @@ -40,7 +40,7 @@ async def build_index( Styling of indexing to perform (full LLM, NLP + LLM, etc.). memory_profile : bool Whether to enable memory profiling. - callbacks : list[WorkflowCallbacks] | None default=None + callbacks : list | None default=None A list of callbacks to register. Returns @@ -48,11 +48,17 @@ async def build_index( list[PipelineRunResult] The list of pipeline run results """ - # create a pipeline reporter and add to any additional callbacks - callbacks = callbacks or [] - callbacks.append(create_pipeline_reporter(config.reporting, None)) + # Register pipeline logger with the graphrag logger + create_pipeline_logger(config.reporting, None) - workflow_callbacks = create_callback_chain(callbacks) + # Create a logging-based workflow callbacks for pipeline lifecycle events + workflow_callbacks = LoggingWorkflowCallbacks() + + # Add any additional callbacks to the chain + if callbacks: + callback_manager = create_callback_chain(callbacks) + # We could create a composite here, but for simplicity just use the manager + workflow_callbacks = callback_manager outputs: list[PipelineRunResult] = [] diff --git a/graphrag/callbacks/blob_workflow_callbacks.py b/graphrag/callbacks/blob_workflow_callbacks.py index 4d498318f6..edabb0e2dd 100644 --- a/graphrag/callbacks/blob_workflow_callbacks.py +++ b/graphrag/callbacks/blob_workflow_callbacks.py @@ -32,11 +32,8 @@ class BlobServiceClient: # type: ignore """Dummy class when Azure is not available.""" -from graphrag.callbacks.workflow_handler_base import WorkflowHandlerBase - - -class BlobWorkflowCallbacks(WorkflowHandlerBase): - """A workflow callback handler that writes to a blob storage account.""" +class BlobWorkflowCallbacks(logging.Handler): + """A logging handler that writes to a blob storage account.""" _blob_service_client: "BlobServiceClient" _container_name: str diff --git a/graphrag/callbacks/console_workflow_callbacks.py b/graphrag/callbacks/console_workflow_callbacks.py index ff58ae5ddd..ed7bee470d 100644 --- a/graphrag/callbacks/console_workflow_callbacks.py +++ b/graphrag/callbacks/console_workflow_callbacks.py @@ -6,26 +6,23 @@ import logging import sys -from graphrag.callbacks.workflow_handler_base import WorkflowHandlerBase - -class ConsoleWorkflowCallbacks(WorkflowHandlerBase): - """A workflow callback handler that writes to console using StreamHandler.""" +class ConsoleWorkflowCallbacks(logging.StreamHandler): + """A logging handler that writes to console.""" def __init__(self, level: int = logging.NOTSET): """Initialize the console handler.""" - super().__init__(level) - # Use a StreamHandler for actual console output - self._stream_handler = logging.StreamHandler(sys.stdout) + super().__init__(sys.stdout) + self.setLevel(level) # Set up a formatter for console output formatter = logging.Formatter( "%(asctime)s - %(name)s - %(levelname)s - %(message)s" ) - self._stream_handler.setFormatter(formatter) + self.setFormatter(formatter) def emit(self, record): - """Emit a log record using the underlying StreamHandler.""" + """Emit a log record using the StreamHandler.""" # For warning records, add color formatting if the message is just a warning if record.levelno == logging.WARNING and hasattr(record, "details"): # Apply warning color formatting similar to original @@ -40,6 +37,6 @@ def emit(self, record): (), record.exc_info, ) - self._stream_handler.emit(colored_record) + super().emit(colored_record) else: - self._stream_handler.emit(record) + super().emit(record) diff --git a/graphrag/callbacks/file_workflow_callbacks.py b/graphrag/callbacks/file_workflow_callbacks.py index 34c0ff0420..c70323e8a6 100644 --- a/graphrag/callbacks/file_workflow_callbacks.py +++ b/graphrag/callbacks/file_workflow_callbacks.py @@ -7,8 +7,6 @@ import logging from pathlib import Path -from graphrag.callbacks.workflow_handler_base import WorkflowHandlerBase - class WorkflowJSONFileHandler(logging.FileHandler): """A FileHandler that formats log records as JSON for workflow callbacks.""" @@ -49,33 +47,15 @@ def _get_log_type(self, level: int) -> str: return "log" -class FileWorkflowCallbacks(WorkflowHandlerBase): - """A workflow callback handler that writes to a local file using FileHandler.""" +class FileWorkflowCallbacks(WorkflowJSONFileHandler): + """A logging handler that writes to a local file.""" def __init__(self, directory: str, level: int = logging.NOTSET): """Create a new file-based workflow handler.""" - super().__init__(level) - # Ensure directory exists Path(directory).mkdir(parents=True, exist_ok=True) # Create the JSON file handler log_file_path = Path(directory) / "logs.json" - self._file_handler = WorkflowJSONFileHandler(str(log_file_path), mode="a") - - # Also create a regular logger for backwards compatibility - self._logger = logging.getLogger(__name__) - - def emit(self, record): - """Emit a log record using the underlying FileHandler.""" - # Emit to the JSON file - self._file_handler.emit(record) - - # Also emit to regular logger for backwards compatibility - if record.levelno >= logging.WARNING: - self._logger.log(record.levelno, record.getMessage()) - - def close(self): - """Close the file handler.""" - super().close() - self._file_handler.close() + super().__init__(str(log_file_path), mode="a") + self.setLevel(level) diff --git a/graphrag/callbacks/logging_workflow_callbacks.py b/graphrag/callbacks/logging_workflow_callbacks.py new file mode 100644 index 0000000000..737f57cba6 --- /dev/null +++ b/graphrag/callbacks/logging_workflow_callbacks.py @@ -0,0 +1,83 @@ +# Copyright (c) 2024 Microsoft Corporation. +# Licensed under the MIT License + +"""A simple WorkflowCallbacks implementation that uses standard logging.""" + +import logging + +from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks +from graphrag.index.typing.pipeline_run_result import PipelineRunResult +from graphrag.logger.progress import Progress + + +class LoggingWorkflowCallbacks(WorkflowCallbacks): + """A WorkflowCallbacks implementation that forwards all events to standard logging.""" + + def __init__(self, logger_name: str = "graphrag"): + """Initialize the logging workflow callbacks.""" + self.logger = logging.getLogger(logger_name) + + def pipeline_start(self, names: list[str]) -> None: + """Execute this callback to signal when the entire pipeline starts.""" + self.logger.info("Pipeline started: %s", names) + + def pipeline_end(self, results: list[PipelineRunResult]) -> None: + """Execute this callback to signal when the entire pipeline ends.""" + self.logger.info("Pipeline completed with %d workflows", len(results)) + + def workflow_start(self, name: str, instance: object) -> None: + """Execute this callback when a workflow starts.""" + self.logger.info("Workflow started: %s", name) + + def workflow_end(self, name: str, instance: object) -> None: + """Execute this callback when a workflow ends.""" + self.logger.info("Workflow completed: %s", name) + + def progress(self, progress: Progress) -> None: + """Handle when progress occurs.""" + self.logger.debug("Progress: %s", str(progress)) + + def error( + self, + message: str, + cause: BaseException | None = None, + stack: str | None = None, + details: dict | None = None, + ) -> None: + """Handle when an error occurs.""" + # Create error message with details + full_message = message + if details: + full_message = f"{message} details={details}" + + extra = {} + if stack: + extra["stack"] = stack + if details: + extra["details"] = details + + self.logger.error(full_message, exc_info=cause if cause else None, extra=extra) + + def warning(self, message: str, details: dict | None = None) -> None: + """Handle when a warning occurs.""" + full_message = message + if details: + full_message = f"{message} details={details}" + + extra = {} + if details: + extra["details"] = details + + self.logger.warning(full_message, extra=extra) + + def log(self, message: str, details: dict | None = None) -> None: + """Handle when a log message occurs.""" + full_message = message + if details: + full_message = f"{message} details={details}" + + extra = {} + if details: + extra["details"] = details + + self.logger.info(full_message, extra=extra) diff --git a/graphrag/callbacks/reporting.py b/graphrag/callbacks/reporting.py index 8c1ad3db8b..830e8f2a5e 100644 --- a/graphrag/callbacks/reporting.py +++ b/graphrag/callbacks/reporting.py @@ -1,12 +1,12 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""A module containing the pipeline reporter factory.""" +"""A module containing the pipeline logger factory.""" from __future__ import annotations +import logging from pathlib import Path -from typing import TYPE_CHECKING from graphrag.callbacks.blob_workflow_callbacks import BlobWorkflowCallbacks from graphrag.callbacks.console_workflow_callbacks import ConsoleWorkflowCallbacks @@ -14,26 +14,38 @@ from graphrag.config.enums import ReportingType from graphrag.config.models.reporting_config import ReportingConfig -if TYPE_CHECKING: - from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks - -def create_pipeline_reporter( +def create_pipeline_logger( config: ReportingConfig | None, root_dir: str | None -) -> WorkflowCallbacks: - """Create a logger for the given pipeline config.""" +) -> None: + """Create and register a logging handler for the given pipeline config.""" config = config or ReportingConfig(base_dir="logs", type=ReportingType.file) + + # Get the graphrag logger + graphrag_logger = logging.getLogger("graphrag") + + # Set the logger level to INFO by default + graphrag_logger.setLevel(logging.INFO) + + # Prevent propagation to avoid duplicate logs + graphrag_logger.propagate = False + + # Create the appropriate handler based on configuration + handler: logging.Handler match config.type: case ReportingType.file: - return FileWorkflowCallbacks( + handler = FileWorkflowCallbacks( str(Path(root_dir or "") / (config.base_dir or "")) ) case ReportingType.console: - return ConsoleWorkflowCallbacks() + handler = ConsoleWorkflowCallbacks() case ReportingType.blob: - return BlobWorkflowCallbacks( + handler = BlobWorkflowCallbacks( config.connection_string, config.container_name, base_dir=config.base_dir, storage_account_blob_url=config.storage_account_blob_url, ) + + # Register the handler with the graphrag logger + graphrag_logger.addHandler(handler) From 60121e89b59c41918d94290038e642ae225432ec Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 2 Jun 2025 20:19:31 +0000 Subject: [PATCH 39/88] Rename workflow callback classes to workflow logger classes and move to logger directory Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/api/index.py | 2 +- .../blob_workflow_logger.py} | 4 ++-- .../console_workflow_logger.py} | 2 +- .../file_workflow_logger.py} | 2 +- graphrag/{callbacks => logger}/reporting.py | 12 ++++++------ 5 files changed, 11 insertions(+), 11 deletions(-) rename graphrag/{callbacks/blob_workflow_callbacks.py => logger/blob_workflow_logger.py} (97%) rename graphrag/{callbacks/console_workflow_callbacks.py => logger/console_workflow_logger.py} (96%) rename graphrag/{callbacks/file_workflow_callbacks.py => logger/file_workflow_logger.py} (97%) rename graphrag/{callbacks => logger}/reporting.py (79%) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index ac835baec9..a4632d96a5 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -11,7 +11,6 @@ import logging from graphrag.callbacks.logging_workflow_callbacks import LoggingWorkflowCallbacks -from graphrag.callbacks.reporting import create_pipeline_logger from graphrag.config.enums import IndexingMethod from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.index.run.run_pipeline import run_pipeline @@ -19,6 +18,7 @@ from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.index.typing.workflow import WorkflowFunction from graphrag.index.workflows.factory import PipelineFactory +from graphrag.logger.reporting import create_pipeline_logger logger = logging.getLogger(__name__) diff --git a/graphrag/callbacks/blob_workflow_callbacks.py b/graphrag/logger/blob_workflow_logger.py similarity index 97% rename from graphrag/callbacks/blob_workflow_callbacks.py rename to graphrag/logger/blob_workflow_logger.py index edabb0e2dd..47d5c51b2d 100644 --- a/graphrag/callbacks/blob_workflow_callbacks.py +++ b/graphrag/logger/blob_workflow_logger.py @@ -32,7 +32,7 @@ class BlobServiceClient: # type: ignore """Dummy class when Azure is not available.""" -class BlobWorkflowCallbacks(logging.Handler): +class BlobWorkflowLogger(logging.Handler): """A logging handler that writes to a blob storage account.""" _blob_service_client: "BlobServiceClient" @@ -48,7 +48,7 @@ def __init__( storage_account_blob_url: str | None = None, level: int = logging.NOTSET, ): - """Create a new instance of the BlobWorkflowCallbacks class.""" + """Create a new instance of the BlobWorkflowLogger class.""" super().__init__(level) if not _AZURE_AVAILABLE: diff --git a/graphrag/callbacks/console_workflow_callbacks.py b/graphrag/logger/console_workflow_logger.py similarity index 96% rename from graphrag/callbacks/console_workflow_callbacks.py rename to graphrag/logger/console_workflow_logger.py index ed7bee470d..ebd9a7178c 100644 --- a/graphrag/callbacks/console_workflow_callbacks.py +++ b/graphrag/logger/console_workflow_logger.py @@ -7,7 +7,7 @@ import sys -class ConsoleWorkflowCallbacks(logging.StreamHandler): +class ConsoleWorkflowLogger(logging.StreamHandler): """A logging handler that writes to console.""" def __init__(self, level: int = logging.NOTSET): diff --git a/graphrag/callbacks/file_workflow_callbacks.py b/graphrag/logger/file_workflow_logger.py similarity index 97% rename from graphrag/callbacks/file_workflow_callbacks.py rename to graphrag/logger/file_workflow_logger.py index c70323e8a6..e70c3b09a7 100644 --- a/graphrag/callbacks/file_workflow_callbacks.py +++ b/graphrag/logger/file_workflow_logger.py @@ -47,7 +47,7 @@ def _get_log_type(self, level: int) -> str: return "log" -class FileWorkflowCallbacks(WorkflowJSONFileHandler): +class FileWorkflowLogger(WorkflowJSONFileHandler): """A logging handler that writes to a local file.""" def __init__(self, directory: str, level: int = logging.NOTSET): diff --git a/graphrag/callbacks/reporting.py b/graphrag/logger/reporting.py similarity index 79% rename from graphrag/callbacks/reporting.py rename to graphrag/logger/reporting.py index 830e8f2a5e..eba10dfdd2 100644 --- a/graphrag/callbacks/reporting.py +++ b/graphrag/logger/reporting.py @@ -8,11 +8,11 @@ import logging from pathlib import Path -from graphrag.callbacks.blob_workflow_callbacks import BlobWorkflowCallbacks -from graphrag.callbacks.console_workflow_callbacks import ConsoleWorkflowCallbacks -from graphrag.callbacks.file_workflow_callbacks import FileWorkflowCallbacks from graphrag.config.enums import ReportingType from graphrag.config.models.reporting_config import ReportingConfig +from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger +from graphrag.logger.console_workflow_logger import ConsoleWorkflowLogger +from graphrag.logger.file_workflow_logger import FileWorkflowLogger def create_pipeline_logger( @@ -34,13 +34,13 @@ def create_pipeline_logger( handler: logging.Handler match config.type: case ReportingType.file: - handler = FileWorkflowCallbacks( + handler = FileWorkflowLogger( str(Path(root_dir or "") / (config.base_dir or "")) ) case ReportingType.console: - handler = ConsoleWorkflowCallbacks() + handler = ConsoleWorkflowLogger() case ReportingType.blob: - handler = BlobWorkflowCallbacks( + handler = BlobWorkflowLogger( config.connection_string, config.container_name, base_dir=config.base_dir, From 4e2f59bf98d0ced9565d219613a4c02eb4cefbd3 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 17:07:36 -0400 Subject: [PATCH 40/88] update dictionary --- dictionary.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/dictionary.txt b/dictionary.txt index 8c50e615f7..12cab57396 100644 --- a/dictionary.txt +++ b/dictionary.txt @@ -102,6 +102,7 @@ itertuples isin nocache nbconvert +levelno # HTML nbsp From d29d05807e0288a94746e4b19d2744993ce268a2 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 17:08:27 -0400 Subject: [PATCH 41/88] apply ruff fixes --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From b2d0ed4af1d28a7f70dc09191f7109b567d126bd Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 17:29:45 -0400 Subject: [PATCH 42/88] fix function name --- graphrag/api/index.py | 2 +- graphrag/logger/{reporting.py => pipeline_logger.py} | 0 2 files changed, 1 insertion(+), 1 deletion(-) rename graphrag/logger/{reporting.py => pipeline_logger.py} (100%) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index a4632d96a5..22c748eef7 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -18,7 +18,7 @@ from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.index.typing.workflow import WorkflowFunction from graphrag.index.workflows.factory import PipelineFactory -from graphrag.logger.reporting import create_pipeline_logger +from graphrag.logger.pipeline_logger import create_pipeline_logger logger = logging.getLogger(__name__) diff --git a/graphrag/logger/reporting.py b/graphrag/logger/pipeline_logger.py similarity index 100% rename from graphrag/logger/reporting.py rename to graphrag/logger/pipeline_logger.py From 2e18bf43a3ede1ae20870bb86ab10775b5902dc4 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 18:45:23 -0400 Subject: [PATCH 43/88] simplify logger code --- graphrag/__init__.py | 7 +------ graphrag/__main__.py | 13 ------------- graphrag/logger/pipeline_logger.py | 2 ++ graphrag/logger/standard_logging.py | 2 +- 4 files changed, 4 insertions(+), 20 deletions(-) diff --git a/graphrag/__init__.py b/graphrag/__init__.py index a7cdac2eae..8600b50f2a 100644 --- a/graphrag/__init__.py +++ b/graphrag/__init__.py @@ -5,9 +5,4 @@ import logging -# Configure the graphrag root logger with a default handler -# This ensures that the logger hierarchy is set up correctly -_root_logger = logging.getLogger("graphrag") -if not _root_logger.handlers: - # Add a NullHandler to prevent unconfigured logger warnings - _root_logger.addHandler(logging.NullHandler()) +logger = logging.getLogger(__name__) diff --git a/graphrag/__main__.py b/graphrag/__main__.py index 39f7ca0d46..faafaee5b2 100644 --- a/graphrag/__main__.py +++ b/graphrag/__main__.py @@ -3,19 +3,6 @@ """The GraphRAG package.""" -import logging - from graphrag.cli.main import app -# Configure the root logger with a StreamHandler to ensure log messages -# are sent to standard streams when graphrag is run as a command line application -_root_logger = logging.getLogger() -# Only add a StreamHandler if one doesn't already exist -has_stream_handler = any( - type(handler) is logging.StreamHandler for handler in _root_logger.handlers -) -if not has_stream_handler: - handler = logging.StreamHandler() - _root_logger.addHandler(handler) - app(prog_name="graphrag") diff --git a/graphrag/logger/pipeline_logger.py b/graphrag/logger/pipeline_logger.py index eba10dfdd2..a2da907048 100644 --- a/graphrag/logger/pipeline_logger.py +++ b/graphrag/logger/pipeline_logger.py @@ -14,6 +14,8 @@ from graphrag.logger.console_workflow_logger import ConsoleWorkflowLogger from graphrag.logger.file_workflow_logger import FileWorkflowLogger +logger = logging.getLogger(__name__) + def create_pipeline_logger( config: ReportingConfig | None, root_dir: str | None diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index a5ce3506b4..c9c0fd5c04 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -40,7 +40,7 @@ def configure_logging( log_level: int | str = logging.INFO, log_file: str | Path | None = None, - log_format: str = "%(asctime)s - %(name)s - %(levelname)s - %(message)s", + log_format: str = "%(asctime)s - %(levelname)s - %(name)s - %(message)s", date_format: str = "%Y-%m-%d %H:%M:%S", ) -> None: """Configure the Python logging module for graphrag. From c4f1bf3f1fea8f65f7c4d59868fc23042f529f37 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 19:13:22 -0400 Subject: [PATCH 44/88] update --- .../callbacks/progress_workflow_callbacks.py | 53 ------------------- graphrag/index/run/utils.py | 1 - graphrag/logger/console_workflow_logger.py | 2 +- 3 files changed, 1 insertion(+), 55 deletions(-) delete mode 100644 graphrag/callbacks/progress_workflow_callbacks.py diff --git a/graphrag/callbacks/progress_workflow_callbacks.py b/graphrag/callbacks/progress_workflow_callbacks.py deleted file mode 100644 index 96977bf8cd..0000000000 --- a/graphrag/callbacks/progress_workflow_callbacks.py +++ /dev/null @@ -1,53 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A workflow callback manager that emits updates.""" - -import logging - -from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks -from graphrag.logger.progress import Progress - - -class ProgressWorkflowCallbacks(NoopWorkflowCallbacks): - """A callback manager that delegates to a standard Logger.""" - - _logger: logging.Logger - _workflow_stack: list[str] - - def __init__(self, logger: logging.Logger) -> None: - """Create a new ProgressWorkflowCallbacks.""" - self._logger = logger - self._workflow_stack = [] - - def _get_context(self) -> str: - """Get the current workflow context.""" - return ".".join(self._workflow_stack) if self._workflow_stack else "" - - def workflow_start(self, name: str, instance: object) -> None: - """Execute this callback when a workflow starts.""" - self._workflow_stack.append(name) - context = self._get_context() - self._logger.info("Starting workflow: %s", context) - - def workflow_end(self, name: str, instance: object) -> None: - """Execute this callback when a workflow ends.""" - context = self._get_context() - self._logger.info("Completed workflow: %s", context) - if self._workflow_stack: - self._workflow_stack.pop() - - def progress(self, progress: Progress) -> None: - """Handle when progress occurs.""" - context = self._get_context() - if progress.description: - msg = f"[{context}] {progress.description}" - else: - msg = f"[{context}] Progress update" - - if progress.percent is not None: - msg += f" ({progress.percent:.1%})" - elif progress.completed_items is not None and progress.total_items is not None: - msg += f" ({progress.completed_items}/{progress.total_items})" - - self._logger.info(msg) diff --git a/graphrag/index/run/utils.py b/graphrag/index/run/utils.py index 6cbff68f13..49ea6198f5 100644 --- a/graphrag/index/run/utils.py +++ b/graphrag/index/run/utils.py @@ -41,7 +41,6 @@ def create_callback_chain( manager = WorkflowCallbacksManager() for callback in callbacks or []: manager.register(callback) - # Progress workflow callbacks removed - using standard logging instead return manager diff --git a/graphrag/logger/console_workflow_logger.py b/graphrag/logger/console_workflow_logger.py index ebd9a7178c..865e8c5382 100644 --- a/graphrag/logger/console_workflow_logger.py +++ b/graphrag/logger/console_workflow_logger.py @@ -17,7 +17,7 @@ def __init__(self, level: int = logging.NOTSET): # Set up a formatter for console output formatter = logging.Formatter( - "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + "%(asctime)s - %(levelname)s - %(name)s - %(message)s" ) self.setFormatter(formatter) From e81b11347b92ee077e98471f01563c4eed69e86c Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Mon, 2 Jun 2025 23:42:27 +0000 Subject: [PATCH 45/88] Remove error, warning, and log methods from WorkflowCallbacks and replace with standard logging Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../index_migration_to_v1.ipynb | 3 +- .../graph-visualization.ipynb | 6 +-- .../callbacks/logging_workflow_callbacks.py | 45 ------------------- graphrag/callbacks/noop_workflow_callbacks.py | 15 ------- graphrag/callbacks/workflow_callbacks.py | 18 -------- .../callbacks/workflow_callbacks_manager.py | 24 ---------- .../extract_covariates/extract_covariates.py | 4 +- .../operations/extract_graph/extract_graph.py | 1 - .../graph_intelligence_strategy.py | 14 +++--- .../index/operations/finalize_entities.py | 3 -- .../operations/layout_graph/layout_graph.py | 16 ++++--- .../summarize_communities/strategies.py | 11 ++--- .../graph_intelligence_strategy.py | 18 ++++---- .../summarize_descriptions.py | 4 +- graphrag/index/run/run_pipeline.py | 2 - graphrag/index/utils/derive_from_rows.py | 4 +- graphrag/index/workflows/extract_graph.py | 7 ++- graphrag/index/workflows/finalize_graph.py | 5 +-- .../language_model/providers/fnllm/utils.py | 11 ++++- 19 files changed, 56 insertions(+), 155 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/callbacks/logging_workflow_callbacks.py b/graphrag/callbacks/logging_workflow_callbacks.py index 737f57cba6..c3497e75b6 100644 --- a/graphrag/callbacks/logging_workflow_callbacks.py +++ b/graphrag/callbacks/logging_workflow_callbacks.py @@ -36,48 +36,3 @@ def workflow_end(self, name: str, instance: object) -> None: def progress(self, progress: Progress) -> None: """Handle when progress occurs.""" self.logger.debug("Progress: %s", str(progress)) - - def error( - self, - message: str, - cause: BaseException | None = None, - stack: str | None = None, - details: dict | None = None, - ) -> None: - """Handle when an error occurs.""" - # Create error message with details - full_message = message - if details: - full_message = f"{message} details={details}" - - extra = {} - if stack: - extra["stack"] = stack - if details: - extra["details"] = details - - self.logger.error(full_message, exc_info=cause if cause else None, extra=extra) - - def warning(self, message: str, details: dict | None = None) -> None: - """Handle when a warning occurs.""" - full_message = message - if details: - full_message = f"{message} details={details}" - - extra = {} - if details: - extra["details"] = details - - self.logger.warning(full_message, extra=extra) - - def log(self, message: str, details: dict | None = None) -> None: - """Handle when a log message occurs.""" - full_message = message - if details: - full_message = f"{message} details={details}" - - extra = {} - if details: - extra["details"] = details - - self.logger.info(full_message, extra=extra) diff --git a/graphrag/callbacks/noop_workflow_callbacks.py b/graphrag/callbacks/noop_workflow_callbacks.py index 5b8eb6e41d..227f8b193a 100644 --- a/graphrag/callbacks/noop_workflow_callbacks.py +++ b/graphrag/callbacks/noop_workflow_callbacks.py @@ -25,18 +25,3 @@ def workflow_end(self, name: str, instance: object) -> None: def progress(self, progress: Progress) -> None: """Handle when progress occurs.""" - - def error( - self, - message: str, - cause: BaseException | None = None, - stack: str | None = None, - details: dict | None = None, - ) -> None: - """Handle when an error occurs.""" - - def warning(self, message: str, details: dict | None = None) -> None: - """Handle when a warning occurs.""" - - def log(self, message: str, details: dict | None = None) -> None: - """Handle when a log message occurs.""" diff --git a/graphrag/callbacks/workflow_callbacks.py b/graphrag/callbacks/workflow_callbacks.py index ca699e9233..0429cff809 100644 --- a/graphrag/callbacks/workflow_callbacks.py +++ b/graphrag/callbacks/workflow_callbacks.py @@ -35,21 +35,3 @@ def workflow_end(self, name: str, instance: object) -> None: def progress(self, progress: Progress) -> None: """Handle when progress occurs.""" ... - - def error( - self, - message: str, - cause: BaseException | None = None, - stack: str | None = None, - details: dict | None = None, - ) -> None: - """Handle when an error occurs.""" - ... - - def warning(self, message: str, details: dict | None = None) -> None: - """Handle when a warning occurs.""" - ... - - def log(self, message: str, details: dict | None = None) -> None: - """Handle when a log message occurs.""" - ... diff --git a/graphrag/callbacks/workflow_callbacks_manager.py b/graphrag/callbacks/workflow_callbacks_manager.py index fd7fc356c5..1ca0c097e5 100644 --- a/graphrag/callbacks/workflow_callbacks_manager.py +++ b/graphrag/callbacks/workflow_callbacks_manager.py @@ -50,27 +50,3 @@ def progress(self, progress: Progress) -> None: for callback in self._callbacks: if hasattr(callback, "progress"): callback.progress(progress) - - def error( - self, - message: str, - cause: BaseException | None = None, - stack: str | None = None, - details: dict | None = None, - ) -> None: - """Handle when an error occurs.""" - for callback in self._callbacks: - if hasattr(callback, "error"): - callback.error(message, cause, stack, details) - - def warning(self, message: str, details: dict | None = None) -> None: - """Handle when a warning occurs.""" - for callback in self._callbacks: - if hasattr(callback, "warning"): - callback.warning(message, details) - - def log(self, message: str, details: dict | None = None) -> None: - """Handle when a log message occurs.""" - for callback in self._callbacks: - if hasattr(callback, "log"): - callback.log(message, details) diff --git a/graphrag/index/operations/extract_covariates/extract_covariates.py b/graphrag/index/operations/extract_covariates/extract_covariates.py index 4f3d2debae..0847cf4930 100644 --- a/graphrag/index/operations/extract_covariates/extract_covariates.py +++ b/graphrag/index/operations/extract_covariates/extract_covariates.py @@ -110,8 +110,8 @@ async def run_extract_claims( model_invoker=llm, extraction_prompt=extraction_prompt, max_gleanings=max_gleanings, - on_error=lambda e, s, d: ( - callbacks.error("Claim Extraction Error", e, s, d) if callbacks else None + on_error=lambda e, s, d: logger.error( + "Claim Extraction Error", exc_info=e, extra={"stack": s, "details": d} ), ) diff --git a/graphrag/index/operations/extract_graph/extract_graph.py b/graphrag/index/operations/extract_graph/extract_graph.py index aa89d7bb21..22d0c42d3e 100644 --- a/graphrag/index/operations/extract_graph/extract_graph.py +++ b/graphrag/index/operations/extract_graph/extract_graph.py @@ -54,7 +54,6 @@ async def run_strategy(row): result = await strategy_exec( [Document(text=text, id=id)], entity_types, - callbacks, cache, strategy_config, ) diff --git a/graphrag/index/operations/extract_graph/graph_intelligence_strategy.py b/graphrag/index/operations/extract_graph/graph_intelligence_strategy.py index 9bb6a88db6..b335d191a6 100644 --- a/graphrag/index/operations/extract_graph/graph_intelligence_strategy.py +++ b/graphrag/index/operations/extract_graph/graph_intelligence_strategy.py @@ -3,10 +3,11 @@ """A module containing run_graph_intelligence, run_extract_graph and _create_text_splitter methods to run graph intelligence.""" +import logging + import networkx as nx from graphrag.cache.pipeline_cache import PipelineCache -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.config.defaults import graphrag_config_defaults from graphrag.config.models.language_model_config import LanguageModelConfig from graphrag.index.operations.extract_graph.graph_extractor import GraphExtractor @@ -19,11 +20,12 @@ from graphrag.language_model.manager import ModelManager from graphrag.language_model.protocol.base import ChatModel +logger = logging.getLogger(__name__) + async def run_graph_intelligence( docs: list[Document], entity_types: EntityTypes, - callbacks: WorkflowCallbacks, cache: PipelineCache, args: StrategyConfig, ) -> EntityExtractionResult: @@ -34,18 +36,16 @@ async def run_graph_intelligence( name="extract_graph", model_type=llm_config.type, config=llm_config, - callbacks=callbacks, cache=cache, ) - return await run_extract_graph(llm, docs, entity_types, callbacks, args) + return await run_extract_graph(llm, docs, entity_types, args) async def run_extract_graph( model: ChatModel, docs: list[Document], entity_types: EntityTypes, - callbacks: WorkflowCallbacks | None, args: StrategyConfig, ) -> EntityExtractionResult: """Run the entity extraction chain.""" @@ -61,8 +61,8 @@ async def run_extract_graph( model_invoker=model, prompt=extraction_prompt, max_gleanings=max_gleanings, - on_error=lambda e, s, d: ( - callbacks.error("Entity Extraction Error", e, s, d) if callbacks else None + on_error=lambda e, s, d: logger.error( + "Entity Extraction Error", exc_info=e, extra={"stack": s, "details": d} ), ) text_list = [doc.text.strip() for doc in docs] diff --git a/graphrag/index/operations/finalize_entities.py b/graphrag/index/operations/finalize_entities.py index 4539e53b79..cd1dbb83eb 100644 --- a/graphrag/index/operations/finalize_entities.py +++ b/graphrag/index/operations/finalize_entities.py @@ -7,7 +7,6 @@ import pandas as pd -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.config.models.embed_graph_config import EmbedGraphConfig from graphrag.data_model.schemas import ENTITIES_FINAL_COLUMNS from graphrag.index.operations.compute_degree import compute_degree @@ -19,7 +18,6 @@ def finalize_entities( entities: pd.DataFrame, relationships: pd.DataFrame, - callbacks: WorkflowCallbacks, embed_config: EmbedGraphConfig | None = None, layout_enabled: bool = False, ) -> pd.DataFrame: @@ -33,7 +31,6 @@ def finalize_entities( ) layout = layout_graph( graph, - callbacks, layout_enabled, embeddings=graph_embeddings, ) diff --git a/graphrag/index/operations/layout_graph/layout_graph.py b/graphrag/index/operations/layout_graph/layout_graph.py index f004f54fe0..433ffc8a10 100644 --- a/graphrag/index/operations/layout_graph/layout_graph.py +++ b/graphrag/index/operations/layout_graph/layout_graph.py @@ -3,17 +3,19 @@ """A module containing layout_graph, _run_layout and _apply_layout_to_graph methods definition.""" +import logging + import networkx as nx import pandas as pd -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.index.operations.embed_graph.typing import NodeEmbeddings from graphrag.index.operations.layout_graph.typing import GraphLayout +logger = logging.getLogger(__name__) + def layout_graph( graph: nx.Graph, - callbacks: WorkflowCallbacks, enabled: bool, embeddings: NodeEmbeddings | None, ): @@ -44,7 +46,6 @@ def layout_graph( graph, enabled, embeddings if embeddings is not None else {}, - callbacks, ) layout_df = pd.DataFrame(layout) @@ -58,7 +59,6 @@ def _run_layout( graph: nx.Graph, enabled: bool, embeddings: NodeEmbeddings, - callbacks: WorkflowCallbacks, ) -> GraphLayout: if enabled: from graphrag.index.operations.layout_graph.umap import ( @@ -68,7 +68,9 @@ def _run_layout( return run_umap( graph, embeddings, - lambda e, stack, d: callbacks.error("Error in Umap", e, stack, d), + lambda e, stack, d: logger.error( + "Error in Umap", exc_info=e, extra={"stack": stack, "details": d} + ), ) from graphrag.index.operations.layout_graph.zero import ( run as run_zero, @@ -76,5 +78,7 @@ def _run_layout( return run_zero( graph, - lambda e, stack, d: callbacks.error("Error in Zero", e, stack, d), + lambda e, stack, d: logger.error( + "Error in Zero", exc_info=e, extra={"stack": stack, "details": d} + ), ) diff --git a/graphrag/index/operations/summarize_communities/strategies.py b/graphrag/index/operations/summarize_communities/strategies.py index d9d671e3ca..978c85b9d2 100644 --- a/graphrag/index/operations/summarize_communities/strategies.py +++ b/graphrag/index/operations/summarize_communities/strategies.py @@ -4,7 +4,6 @@ """A module containing run, _run_extractor and _load_nodes_edges_for_claim_chain methods definition.""" import logging -import traceback from graphrag.cache.pipeline_cache import PipelineCache from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks @@ -42,7 +41,7 @@ async def run_graph_intelligence( cache=cache, ) - return await _run_extractor(llm, community, input, level, args, callbacks) + return await _run_extractor(llm, community, input, level, args) async def _run_extractor( @@ -51,7 +50,6 @@ async def _run_extractor( input: str, level: int, args: StrategyConfig, - callbacks: WorkflowCallbacks, ) -> CommunityReport | None: # RateLimiter rate_limiter = RateLimiter(rate=1, per=60) @@ -59,8 +57,8 @@ async def _run_extractor( model, extraction_prompt=args.get("extraction_prompt", None), max_report_length=args.get("max_report_length", None), - on_error=lambda e, stack, _data: callbacks.error( - "Community Report Extraction Error", e, stack + on_error=lambda e, stack, _data: logger.error( + "Community Report Extraction Error", exc_info=e, extra={"stack": stack} ), ) @@ -86,7 +84,6 @@ async def _run_extractor( ], full_content_json=report.model_dump_json(indent=4), ) - except Exception as e: + except Exception: logger.exception("Error processing community: %s", community) - callbacks.error("Community Report Extraction Error", e, traceback.format_exc()) return None diff --git a/graphrag/index/operations/summarize_descriptions/graph_intelligence_strategy.py b/graphrag/index/operations/summarize_descriptions/graph_intelligence_strategy.py index 2b95d6b1e5..d3259b290f 100644 --- a/graphrag/index/operations/summarize_descriptions/graph_intelligence_strategy.py +++ b/graphrag/index/operations/summarize_descriptions/graph_intelligence_strategy.py @@ -3,8 +3,9 @@ """A module containing run_graph_intelligence, run_resolve_entities and _create_text_list_splitter methods to run graph intelligence.""" +import logging + from graphrag.cache.pipeline_cache import PipelineCache -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.config.models.language_model_config import LanguageModelConfig from graphrag.index.operations.summarize_descriptions.description_summary_extractor import ( SummarizeExtractor, @@ -16,11 +17,12 @@ from graphrag.language_model.manager import ModelManager from graphrag.language_model.protocol.base import ChatModel +logger = logging.getLogger(__name__) + async def run_graph_intelligence( id: str | tuple[str, str], descriptions: list[str], - callbacks: WorkflowCallbacks, cache: PipelineCache, args: StrategyConfig, ) -> SummarizedDescriptionResult: @@ -30,18 +32,16 @@ async def run_graph_intelligence( name="summarize_descriptions", model_type=llm_config.type, config=llm_config, - callbacks=callbacks, cache=cache, ) - return await run_summarize_descriptions(llm, id, descriptions, callbacks, args) + return await run_summarize_descriptions(llm, id, descriptions, args) async def run_summarize_descriptions( model: ChatModel, id: str | tuple[str, str], descriptions: list[str], - callbacks: WorkflowCallbacks, args: StrategyConfig, ) -> SummarizedDescriptionResult: """Run the entity extraction chain.""" @@ -52,10 +52,10 @@ async def run_summarize_descriptions( extractor = SummarizeExtractor( model_invoker=model, summarization_prompt=summarize_prompt, - on_error=lambda e, stack, details: ( - callbacks.error("Entity Extraction Error", e, stack, details) - if callbacks - else None + on_error=lambda e, stack, details: logger.error( + "Entity Extraction Error", + exc_info=e, + extra={"stack": stack, "details": details}, ), max_summary_length=max_summary_length, max_input_tokens=max_input_tokens, diff --git a/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py b/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py index bd91fffb43..9370657d9c 100644 --- a/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py +++ b/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py @@ -95,9 +95,7 @@ async def do_summarize_descriptions( semaphore: asyncio.Semaphore, ): async with semaphore: - results = await strategy_exec( - id, descriptions, callbacks, cache, strategy_config - ) + results = await strategy_exec(id, descriptions, cache, strategy_config) ticker(1) return results diff --git a/graphrag/index/run/run_pipeline.py b/graphrag/index/run/run_pipeline.py index 8c9937c6d0..2b3aca96e8 100644 --- a/graphrag/index/run/run_pipeline.py +++ b/graphrag/index/run/run_pipeline.py @@ -7,7 +7,6 @@ import logging import re import time -import traceback from collections.abc import AsyncIterable from dataclasses import asdict @@ -134,7 +133,6 @@ async def _run_pipeline( except Exception as e: logger.exception("error running workflow %s", last_workflow) - context.callbacks.error("Error running pipeline!", e, traceback.format_exc()) yield PipelineRunResult( workflow=last_workflow, result=None, state=context.state, errors=[e] ) diff --git a/graphrag/index/utils/derive_from_rows.py b/graphrag/index/utils/derive_from_rows.py index 6a29d8848f..c920afa05b 100644 --- a/graphrag/index/utils/derive_from_rows.py +++ b/graphrag/index/utils/derive_from_rows.py @@ -153,7 +153,9 @@ async def execute(row: tuple[Any, pd.Series]) -> ItemType | None: tick.done() for error, stack in errors: - callbacks.error("parallel transformation error", error, stack) + logger.error( + "parallel transformation error", exc_info=error, extra={"stack": stack} + ) if len(errors) > 0: raise ParallelizationError(len(errors), errors[0][1]) diff --git a/graphrag/index/workflows/extract_graph.py b/graphrag/index/workflows/extract_graph.py index 84f8647e73..ff49b37320 100644 --- a/graphrag/index/workflows/extract_graph.py +++ b/graphrag/index/workflows/extract_graph.py @@ -3,6 +3,7 @@ """A module containing run_workflow method definition.""" +import logging from typing import Any import pandas as pd @@ -21,6 +22,8 @@ from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, @@ -99,14 +102,14 @@ async def extract_graph( if not _validate_data(extracted_entities): error_msg = "Entity Extraction failed. No entities detected during extraction." - callbacks.error(error_msg) + logger.error(error_msg) raise ValueError(error_msg) if not _validate_data(extracted_relationships): error_msg = ( "Entity Extraction failed. No relationships detected during extraction." ) - callbacks.error(error_msg) + logger.error(error_msg) raise ValueError(error_msg) # copy these as is before any summarization diff --git a/graphrag/index/workflows/finalize_graph.py b/graphrag/index/workflows/finalize_graph.py index a5a94ba062..6da0ff50de 100644 --- a/graphrag/index/workflows/finalize_graph.py +++ b/graphrag/index/workflows/finalize_graph.py @@ -5,7 +5,6 @@ import pandas as pd -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.config.models.embed_graph_config import EmbedGraphConfig from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.index.operations.create_graph import create_graph @@ -28,7 +27,6 @@ async def run_workflow( final_entities, final_relationships = finalize_graph( entities, relationships, - callbacks=context.callbacks, embed_config=config.embed_graph, layout_enabled=config.umap.enabled, ) @@ -57,13 +55,12 @@ async def run_workflow( def finalize_graph( entities: pd.DataFrame, relationships: pd.DataFrame, - callbacks: WorkflowCallbacks, embed_config: EmbedGraphConfig | None = None, layout_enabled: bool = False, ) -> tuple[pd.DataFrame, pd.DataFrame]: """All the steps to finalize the entity and relationship formats.""" final_entities = finalize_entities( - entities, relationships, callbacks, embed_config, layout_enabled + entities, relationships, embed_config, layout_enabled ) final_relationships = finalize_relationships(relationships) return (final_entities, final_relationships) diff --git a/graphrag/language_model/providers/fnllm/utils.py b/graphrag/language_model/providers/fnllm/utils.py index b864cf43f8..b12b0e27b0 100644 --- a/graphrag/language_model/providers/fnllm/utils.py +++ b/graphrag/language_model/providers/fnllm/utils.py @@ -6,6 +6,7 @@ from __future__ import annotations import asyncio +import logging import threading from typing import TYPE_CHECKING, Any, TypeVar @@ -26,6 +27,8 @@ ) from graphrag.index.typing.error_handler import ErrorHandlerFn +logger = logging.getLogger(__name__) + def _create_cache(cache: PipelineCache | None, name: str) -> FNLLMCacheProvider | None: """Create an FNLLM cache from a pipeline cache.""" @@ -34,7 +37,7 @@ def _create_cache(cache: PipelineCache | None, name: str) -> FNLLMCacheProvider return FNLLMCacheProvider(cache).child(name) -def _create_error_handler(callbacks: WorkflowCallbacks) -> ErrorHandlerFn: +def _create_error_handler(callbacks: WorkflowCallbacks) -> ErrorHandlerFn: # noqa: ARG001 """Create an error handler from a WorkflowCallbacks.""" def on_error( @@ -42,7 +45,11 @@ def on_error( stack: str | None = None, details: dict | None = None, ) -> None: - callbacks.error("Error Invoking LLM", error, stack, details) + logger.error( + "Error Invoking LLM", + exc_info=error, + extra={"stack": stack, "details": details}, + ) return on_error From a8bda866b2931a83222060d6be2cb8ed92290f93 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 19:56:07 -0400 Subject: [PATCH 46/88] ruff fixes --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From a8b6a7b60904d418aed64f27c0bd57b2c03bf391 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 00:02:27 +0000 Subject: [PATCH 47/88] Fix pyright errors by removing WorkflowCallbacks from strategy type signatures Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../index/operations/extract_graph/typing.py | 2 - .../summarize_descriptions/typing.py | 2 - .../test_gi_entity_extraction.py | 65 +++++++++---------- 3 files changed, 30 insertions(+), 39 deletions(-) diff --git a/graphrag/index/operations/extract_graph/typing.py b/graphrag/index/operations/extract_graph/typing.py index 0361317f76..3c7c134753 100644 --- a/graphrag/index/operations/extract_graph/typing.py +++ b/graphrag/index/operations/extract_graph/typing.py @@ -11,7 +11,6 @@ import networkx as nx from graphrag.cache.pipeline_cache import PipelineCache -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks ExtractedEntity = dict[str, Any] ExtractedRelationship = dict[str, Any] @@ -40,7 +39,6 @@ class EntityExtractionResult: [ list[Document], EntityTypes, - WorkflowCallbacks, PipelineCache, StrategyConfig, ], diff --git a/graphrag/index/operations/summarize_descriptions/typing.py b/graphrag/index/operations/summarize_descriptions/typing.py index 565fc8eab2..55b079090d 100644 --- a/graphrag/index/operations/summarize_descriptions/typing.py +++ b/graphrag/index/operations/summarize_descriptions/typing.py @@ -9,7 +9,6 @@ from typing import Any, NamedTuple from graphrag.cache.pipeline_cache import PipelineCache -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks StrategyConfig = dict[str, Any] @@ -26,7 +25,6 @@ class SummarizedDescriptionResult: [ str | tuple[str, str], list[str], - WorkflowCallbacks, PipelineCache, StrategyConfig, ], diff --git a/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py index a2e1f1b164..0fb14d4e9a 100644 --- a/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py +++ b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py @@ -14,13 +14,6 @@ class TestRunChain(unittest.IsolatedAsyncioTestCase): async def test_run_extract_graph_single_document_correct_entities_returned(self): results = await run_extract_graph( - docs=[Document("test_text", "1")], - entity_types=["person"], - callbacks=None, - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, model=create_mock_llm( responses=[ """ @@ -37,6 +30,12 @@ async def test_run_extract_graph_single_document_correct_entities_returned(self) ], name="test_run_extract_graph_single_document_correct_entities_returned", ), + docs=[Document("test_text", "1")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, ) # self.assertItemsEqual isn't available yet, or I am just silly @@ -49,13 +48,6 @@ async def test_run_extract_graph_multiple_documents_correct_entities_returned( self, ): results = await run_extract_graph( - docs=[Document("text_1", "1"), Document("text_2", "2")], - entity_types=["person"], - callbacks=None, - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, model=create_mock_llm( responses=[ """ @@ -76,6 +68,12 @@ async def test_run_extract_graph_multiple_documents_correct_entities_returned( ], name="test_run_extract_graph_multiple_documents_correct_entities_returned", ), + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, ) # self.assertItemsEqual isn't available yet, or I am just silly @@ -86,13 +84,6 @@ async def test_run_extract_graph_multiple_documents_correct_entities_returned( async def test_run_extract_graph_multiple_documents_correct_edges_returned(self): results = await run_extract_graph( - docs=[Document("text_1", "1"), Document("text_2", "2")], - entity_types=["person"], - callbacks=None, - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, model=create_mock_llm( responses=[ """ @@ -113,6 +104,12 @@ async def test_run_extract_graph_multiple_documents_correct_edges_returned(self) ], name="test_run_extract_graph_multiple_documents_correct_edges_returned", ), + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, ) # self.assertItemsEqual isn't available yet, or I am just silly @@ -131,13 +128,6 @@ async def test_run_extract_graph_multiple_documents_correct_entity_source_ids_ma self, ): results = await run_extract_graph( - docs=[Document("text_1", "1"), Document("text_2", "2")], - entity_types=["person"], - callbacks=None, - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, model=create_mock_llm( responses=[ """ @@ -158,6 +148,12 @@ async def test_run_extract_graph_multiple_documents_correct_entity_source_ids_ma ], name="test_run_extract_graph_multiple_documents_correct_entity_source_ids_mapped", ), + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, ) graph = results.graph @@ -181,13 +177,6 @@ async def test_run_extract_graph_multiple_documents_correct_edge_source_ids_mapp self, ): results = await run_extract_graph( - docs=[Document("text_1", "1"), Document("text_2", "2")], - entity_types=["person"], - callbacks=None, - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, model=create_mock_llm( responses=[ """ @@ -208,6 +197,12 @@ async def test_run_extract_graph_multiple_documents_correct_edge_source_ids_mapp ], name="test_run_extract_graph_multiple_documents_correct_edge_source_ids_mapped", ), + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, ) graph = results.graph From e5a4b86fec6aed7e2cf6449b5f3dd24d68057741 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 00:34:40 +0000 Subject: [PATCH 48/88] Remove ConsoleWorkflowLogger and apply consistent formatter to all handlers Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/logger/console_workflow_logger.py | 42 ---------------------- graphrag/logger/pipeline_logger.py | 8 +++-- 2 files changed, 6 insertions(+), 44 deletions(-) delete mode 100644 graphrag/logger/console_workflow_logger.py diff --git a/graphrag/logger/console_workflow_logger.py b/graphrag/logger/console_workflow_logger.py deleted file mode 100644 index 865e8c5382..0000000000 --- a/graphrag/logger/console_workflow_logger.py +++ /dev/null @@ -1,42 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A logger that emits updates from the indexing engine to the console.""" - -import logging -import sys - - -class ConsoleWorkflowLogger(logging.StreamHandler): - """A logging handler that writes to console.""" - - def __init__(self, level: int = logging.NOTSET): - """Initialize the console handler.""" - super().__init__(sys.stdout) - self.setLevel(level) - - # Set up a formatter for console output - formatter = logging.Formatter( - "%(asctime)s - %(levelname)s - %(name)s - %(message)s" - ) - self.setFormatter(formatter) - - def emit(self, record): - """Emit a log record using the StreamHandler.""" - # For warning records, add color formatting if the message is just a warning - if record.levelno == logging.WARNING and hasattr(record, "details"): - # Apply warning color formatting similar to original - formatted_msg = f"\033[93m{record.getMessage()}\033[00m" - # Create a new record with the colored message - colored_record = logging.LogRecord( - record.name, - record.levelno, - record.pathname, - record.lineno, - formatted_msg, - (), - record.exc_info, - ) - super().emit(colored_record) - else: - super().emit(record) diff --git a/graphrag/logger/pipeline_logger.py b/graphrag/logger/pipeline_logger.py index a2da907048..62e0a3ecd2 100644 --- a/graphrag/logger/pipeline_logger.py +++ b/graphrag/logger/pipeline_logger.py @@ -6,12 +6,12 @@ from __future__ import annotations import logging +import sys from pathlib import Path from graphrag.config.enums import ReportingType from graphrag.config.models.reporting_config import ReportingConfig from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger -from graphrag.logger.console_workflow_logger import ConsoleWorkflowLogger from graphrag.logger.file_workflow_logger import FileWorkflowLogger logger = logging.getLogger(__name__) @@ -32,6 +32,9 @@ def create_pipeline_logger( # Prevent propagation to avoid duplicate logs graphrag_logger.propagate = False + # Create standard formatter for all handlers + formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(name)s - %(message)s') + # Create the appropriate handler based on configuration handler: logging.Handler match config.type: @@ -40,7 +43,8 @@ def create_pipeline_logger( str(Path(root_dir or "") / (config.base_dir or "")) ) case ReportingType.console: - handler = ConsoleWorkflowLogger() + handler = logging.StreamHandler(sys.stdout) + handler.setFormatter(formatter) case ReportingType.blob: handler = BlobWorkflowLogger( config.connection_string, From 0f127e3e498aa3fc3a1d1d84b9140b2e4e514c4f Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 2 Jun 2025 20:39:51 -0400 Subject: [PATCH 49/88] apply ruff fixes --- graphrag/callbacks/workflow_handler_base.py | 156 -------------------- graphrag/logger/pipeline_logger.py | 4 +- 2 files changed, 3 insertions(+), 157 deletions(-) delete mode 100644 graphrag/callbacks/workflow_handler_base.py diff --git a/graphrag/callbacks/workflow_handler_base.py b/graphrag/callbacks/workflow_handler_base.py deleted file mode 100644 index 8988c5387b..0000000000 --- a/graphrag/callbacks/workflow_handler_base.py +++ /dev/null @@ -1,156 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Base class for workflow callbacks that inherit from logging.Handler.""" - -import logging - -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks -from graphrag.index.typing.pipeline_run_result import PipelineRunResult -from graphrag.logger.progress import Progress - - -class WorkflowHandlerBase(logging.Handler, WorkflowCallbacks): - """Base class for workflow callbacks that inherit from logging.Handler.""" - - def __init__(self, level: int = logging.NOTSET): - """Initialize the handler.""" - super().__init__(level) - - def pipeline_start(self, names: list[str]) -> None: - """Execute this callback to signal when the entire pipeline starts.""" - record = logging.LogRecord( - name="graphrag.pipeline", - level=logging.INFO, - pathname="", - lineno=0, - msg="Pipeline started: %s", - args=(names,), - exc_info=None, - ) - self.emit(record) - - def pipeline_end(self, results: list[PipelineRunResult]) -> None: - """Execute this callback to signal when the entire pipeline ends.""" - record = logging.LogRecord( - name="graphrag.pipeline", - level=logging.INFO, - pathname="", - lineno=0, - msg="Pipeline completed with %d workflows", - args=(len(results),), - exc_info=None, - ) - self.emit(record) - - def workflow_start(self, name: str, instance: object) -> None: - """Execute this callback when a workflow starts.""" - record = logging.LogRecord( - name="graphrag.workflow", - level=logging.INFO, - pathname="", - lineno=0, - msg="Workflow started: %s", - args=(name,), - exc_info=None, - ) - self.emit(record) - - def workflow_end(self, name: str, instance: object) -> None: - """Execute this callback when a workflow ends.""" - record = logging.LogRecord( - name="graphrag.workflow", - level=logging.INFO, - pathname="", - lineno=0, - msg="Workflow completed: %s", - args=(name,), - exc_info=None, - ) - self.emit(record) - - def progress(self, progress: Progress) -> None: - """Handle when progress occurs.""" - record = logging.LogRecord( - name="graphrag.progress", - level=logging.DEBUG, - pathname="", - lineno=0, - msg="Progress: %s", - args=(str(progress),), - exc_info=None, - ) - self.emit(record) - - def error( - self, - message: str, - cause: BaseException | None = None, - stack: str | None = None, - details: dict | None = None, - ) -> None: - """Handle when an error occurs.""" - # Create error message with details - full_message = message - if details: - full_message = f"{message} details={details}" - - record = logging.LogRecord( - name="graphrag.error", - level=logging.ERROR, - pathname="", - lineno=0, - msg=full_message, - args=(), - exc_info=(type(cause), cause, None) if cause else None, - ) - - # Add custom attributes for stack and details - if stack: - record.stack = stack # type: ignore - if details: - record.details = details # type: ignore - - self.emit(record) - - def warning(self, message: str, details: dict | None = None) -> None: - """Handle when a warning occurs.""" - full_message = message - if details: - full_message = f"{message} details={details}" - - record = logging.LogRecord( - name="graphrag.warning", - level=logging.WARNING, - pathname="", - lineno=0, - msg=full_message, - args=(), - exc_info=None, - ) - - if details: - record.details = details # type: ignore - - self.emit(record) - - def log(self, message: str, details: dict | None = None) -> None: - """Handle when a log message occurs.""" - full_message = message - if details: - full_message = f"{message} details={details}" - - record = logging.LogRecord( - name="graphrag.log", - level=logging.INFO, - pathname="", - lineno=0, - msg=full_message, - args=(), - exc_info=None, - ) - - if details: - record.details = details # type: ignore - - self.emit(record) diff --git a/graphrag/logger/pipeline_logger.py b/graphrag/logger/pipeline_logger.py index 62e0a3ecd2..47c009305f 100644 --- a/graphrag/logger/pipeline_logger.py +++ b/graphrag/logger/pipeline_logger.py @@ -33,7 +33,9 @@ def create_pipeline_logger( graphrag_logger.propagate = False # Create standard formatter for all handlers - formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(name)s - %(message)s') + formatter = logging.Formatter( + "%(asctime)s - %(levelname)s - %(name)s - %(message)s" + ) # Create the appropriate handler based on configuration handler: logging.Handler From b7578ebd1decbe0b3ecb2139c0ec38bbe8c1438e Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 01:08:03 +0000 Subject: [PATCH 50/88] Refactor pipeline_logger.py to use standard FileHandler and remove FileWorkflowLogger Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/logger/file_workflow_logger.py | 61 ------------------------- graphrag/logger/pipeline_logger.py | 12 +++-- 2 files changed, 8 insertions(+), 65 deletions(-) delete mode 100644 graphrag/logger/file_workflow_logger.py diff --git a/graphrag/logger/file_workflow_logger.py b/graphrag/logger/file_workflow_logger.py deleted file mode 100644 index e70c3b09a7..0000000000 --- a/graphrag/logger/file_workflow_logger.py +++ /dev/null @@ -1,61 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A logger that emits updates from the indexing engine to a local file.""" - -import json -import logging -from pathlib import Path - - -class WorkflowJSONFileHandler(logging.FileHandler): - """A FileHandler that formats log records as JSON for workflow callbacks.""" - - def emit(self, record): - """Emit a log record as JSON.""" - try: - # Create JSON structure based on record type - log_data = { - "type": self._get_log_type(record.levelno), - "data": record.getMessage(), - } - - # Add additional fields if they exist - if hasattr(record, "details") and record.details: # type: ignore[reportAttributeAccessIssue] - log_data["details"] = record.details # type: ignore[reportAttributeAccessIssue] - if record.exc_info and record.exc_info[1]: - log_data["source"] = str(record.exc_info[1]) - if hasattr(record, "stack") and record.stack: # type: ignore[reportAttributeAccessIssue] - log_data["stack"] = record.stack # type: ignore[reportAttributeAccessIssue] - - # Write JSON to file - json_str = json.dumps(log_data, indent=4, ensure_ascii=False) + "\n" - - if self.stream is None: - self.stream = self._open() - self.stream.write(json_str) - self.flush() - except (OSError, ValueError): - self.handleError(record) - - def _get_log_type(self, level: int) -> str: - """Get log type string based on log level.""" - if level >= logging.ERROR: - return "error" - if level >= logging.WARNING: - return "warning" - return "log" - - -class FileWorkflowLogger(WorkflowJSONFileHandler): - """A logging handler that writes to a local file.""" - - def __init__(self, directory: str, level: int = logging.NOTSET): - """Create a new file-based workflow handler.""" - # Ensure directory exists - Path(directory).mkdir(parents=True, exist_ok=True) - - # Create the JSON file handler - log_file_path = Path(directory) / "logs.json" - super().__init__(str(log_file_path), mode="a") - self.setLevel(level) diff --git a/graphrag/logger/pipeline_logger.py b/graphrag/logger/pipeline_logger.py index 47c009305f..5c852847bf 100644 --- a/graphrag/logger/pipeline_logger.py +++ b/graphrag/logger/pipeline_logger.py @@ -12,7 +12,6 @@ from graphrag.config.enums import ReportingType from graphrag.config.models.reporting_config import ReportingConfig from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger -from graphrag.logger.file_workflow_logger import FileWorkflowLogger logger = logging.getLogger(__name__) @@ -41,9 +40,14 @@ def create_pipeline_logger( handler: logging.Handler match config.type: case ReportingType.file: - handler = FileWorkflowLogger( - str(Path(root_dir or "") / (config.base_dir or "")) - ) + # Ensure directory exists + log_dir = Path(root_dir or "") / (config.base_dir or "") + log_dir.mkdir(parents=True, exist_ok=True) + + # Create file handler with standard formatter + log_file_path = log_dir / "logs.txt" + handler = logging.FileHandler(str(log_file_path), mode="a") + handler.setFormatter(formatter) case ReportingType.console: handler = logging.StreamHandler(sys.stdout) handler.setFormatter(formatter) From de2f3e3ffb915c14bb7ea8b485c01cd2922ec9fc Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 02:58:47 +0000 Subject: [PATCH 51/88] Remove conditional azure import checks from blob_workflow_logger.py Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../index_migration_to_v1.ipynb | 3 +- .../graph-visualization.ipynb | 6 +-- graphrag/logger/blob_workflow_logger.py | 47 +++++-------------- 3 files changed, 17 insertions(+), 39 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/logger/blob_workflow_logger.py b/graphrag/logger/blob_workflow_logger.py index 47d5c51b2d..f8e225462d 100644 --- a/graphrag/logger/blob_workflow_logger.py +++ b/graphrag/logger/blob_workflow_logger.py @@ -9,33 +9,14 @@ from pathlib import Path from typing import Any -try: - from azure.identity import ( - DefaultAzureCredential, # type: ignore[reportAssignmentType] - ) - from azure.storage.blob import ( - BlobServiceClient, # type: ignore[reportAssignmentType] - ) - - _AZURE_AVAILABLE = True -except ImportError: - _AZURE_AVAILABLE = False - - # Create dummy classes for type hints when azure is not available - class DefaultAzureCredential: # type: ignore - """Dummy class when Azure is not available.""" - - def __init__(self): # type: ignore - """Initialize dummy credential.""" - - class BlobServiceClient: # type: ignore - """Dummy class when Azure is not available.""" +from azure.identity import DefaultAzureCredential # type: ignore[reportMissingImports] +from azure.storage.blob import BlobServiceClient # type: ignore[reportMissingImports] class BlobWorkflowLogger(logging.Handler): """A logging handler that writes to a blob storage account.""" - _blob_service_client: "BlobServiceClient" + _blob_service_client: BlobServiceClient _container_name: str _max_block_count: int = 25000 # 25k blocks per blob @@ -51,10 +32,6 @@ def __init__( """Create a new instance of the BlobWorkflowLogger class.""" super().__init__(level) - if not _AZURE_AVAILABLE: - msg = "Azure dependencies are not installed. Install graphrag with azure extras." - raise ImportError(msg) - if container_name is None: msg = "No container name provided for blob storage." raise ValueError(msg) @@ -66,7 +43,7 @@ def __init__( self._storage_account_blob_url = storage_account_blob_url if self._connection_string: - self._blob_service_client = BlobServiceClient.from_connection_string( # type: ignore[reportAttributeAccessIssue,reportAssignmentType] + self._blob_service_client = BlobServiceClient.from_connection_string( self._connection_string ) else: @@ -74,9 +51,9 @@ def __init__( msg = "Either connection_string or storage_account_blob_url must be provided." raise ValueError(msg) - self._blob_service_client = BlobServiceClient( # type: ignore[reportCallIssue,reportAssignmentType] - storage_account_blob_url, # type: ignore[reportCallIssue] - credential=DefaultAzureCredential(), # type: ignore[reportCallIssue,reportAssignmentType] + self._blob_service_client = BlobServiceClient( + storage_account_blob_url, + credential=DefaultAzureCredential(), ) if blob_name == "": @@ -84,11 +61,11 @@ def __init__( self._blob_name = str(Path(base_dir or "") / blob_name) self._container_name = container_name - self._blob_client = self._blob_service_client.get_blob_client( # type: ignore[reportAttributeAccessIssue] + self._blob_client = self._blob_service_client.get_blob_client( self._container_name, self._blob_name ) - if not self._blob_client.exists(): # type: ignore[reportAttributeAccessIssue] - self._blob_client.create_append_blob() # type: ignore[reportAttributeAccessIssue] + if not self._blob_client.exists(): + self._blob_client.create_append_blob() self._num_blocks = 0 # refresh block counter @@ -133,10 +110,10 @@ def _write_log(self, log: dict[str, Any]): storage_account_blob_url=self._storage_account_blob_url, ) - blob_client = self._blob_service_client.get_blob_client( # type: ignore[reportAttributeAccessIssue] + blob_client = self._blob_service_client.get_blob_client( self._container_name, self._blob_name ) - blob_client.append_block(json.dumps(log, indent=4, ensure_ascii=False) + "\n") # type: ignore[reportAttributeAccessIssue] + blob_client.append_block(json.dumps(log, indent=4, ensure_ascii=False) + "\n") # update the blob's block count self._num_blocks += 1 From 586f8b733e691d43e213514215f647c2a16ffba3 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 03:21:13 +0000 Subject: [PATCH 52/88] Fix pyright type checking errors in mock_provider.py and utils.py Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- tests/mock_provider.py | 17 +++++++---------- tests/unit/config/utils.py | 6 +++++- 2 files changed, 12 insertions(+), 11 deletions(-) diff --git a/tests/mock_provider.py b/tests/mock_provider.py index d68fd762df..96008d0ebb 100644 --- a/tests/mock_provider.py +++ b/tests/mock_provider.py @@ -53,13 +53,10 @@ async def achat_stream( return for response in self.responses: - response = ( - response.model_dump_json() - if isinstance(response, BaseModel) - else response - ) - - yield response + if isinstance(response, BaseModel): + yield response.model_dump_json() # type: ignore[attr-defined] + else: + yield response def chat( self, @@ -75,9 +72,9 @@ def chat( self.response_index += 1 parsed_json = response if isinstance(response, BaseModel) else None - response = ( - response.model_dump_json() if isinstance(response, BaseModel) else response - ) + if isinstance(response, BaseModel): + response = response.model_dump_json() # type: ignore[attr-defined] + # else response stays as string return BaseModelResponse( output=BaseModelOutput(content=response), diff --git a/tests/unit/config/utils.py b/tests/unit/config/utils.py index 4aea91a053..d23f3c6472 100644 --- a/tests/unit/config/utils.py +++ b/tests/unit/config/utils.py @@ -2,6 +2,7 @@ # Licensed under the MIT License from dataclasses import asdict +from typing import cast from pydantic import BaseModel @@ -99,7 +100,10 @@ def assert_language_model_configs( for e, a in zip(actual.responses, expected.responses, strict=True): assert isinstance(e, BaseModel) assert isinstance(a, BaseModel) - assert e.model_dump() == a.model_dump() + # Type assertions to help pyright understand the types after isinstance checks + e_model = cast("BaseModel", e) + a_model = cast("BaseModel", a) + assert e_model.model_dump() == a_model.model_dump() else: assert expected.responses is None From d1e23e96d94c5f3165776e4d0bee0a232d35ca12 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 03:38:04 +0000 Subject: [PATCH 53/88] Run ruff check --fix to fix import ordering in notebooks Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- docs/examples_notebooks/index_migration_to_v1.ipynb | 3 +-- .../yfiles-jupyter-graphs/graph-visualization.ipynb | 6 +++--- 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", From 110a6a7d53e0e20e4fafb8382e1474ce1475d33e Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 15:31:18 +0000 Subject: [PATCH 54/88] Merge configure_logging and create_pipeline_logger into init_loggers function Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/api/index.py | 4 +- graphrag/cli/index.py | 19 +++- graphrag/cli/prompt_tune.py | 20 ++-- graphrag/logger/standard_logging.py | 92 +++++++++++++++ tests/unit/logger/test_standard_logging.py | 125 ++++++++++++++++++++- 5 files changed, 244 insertions(+), 16 deletions(-) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 22c748eef7..7098d86a3d 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -18,7 +18,6 @@ from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.index.typing.workflow import WorkflowFunction from graphrag.index.workflows.factory import PipelineFactory -from graphrag.logger.pipeline_logger import create_pipeline_logger logger = logging.getLogger(__name__) @@ -49,7 +48,8 @@ async def build_index( The list of pipeline run results """ # Register pipeline logger with the graphrag logger - create_pipeline_logger(config.reporting, None) + from graphrag.logger.standard_logging import init_loggers + init_loggers(config=config.reporting, root_dir=None, enable_console=False) # Create a logging-based workflow callbacks for pipeline lifecycle events workflow_callbacks = LoggingWorkflowCallbacks() diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index 98b5305a00..dc9e54ec43 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -10,9 +10,8 @@ from pathlib import Path import graphrag.api as api -from graphrag.config.enums import CacheType, IndexingMethod +from graphrag.config.enums import CacheType, IndexingMethod, ReportingType from graphrag.config.load_config import load_config -from graphrag.config.logging import enable_logging_with_config from graphrag.index.validate_config import validate_config_names from graphrag.utils.cli import redact @@ -136,9 +135,15 @@ def _run_index( skip_validation, ): # Configure the root logger with the specified log level - from graphrag.logger.standard_logging import configure_logging + from graphrag.logger.standard_logging import init_loggers - configure_logging(log_level=log_level) + # Initialize loggers with console output enabled (CLI usage) and reporting config + init_loggers( + config=config.reporting, + root_dir=str(config.root_dir) if config.root_dir else None, + log_level=log_level, + enable_console=True, + ) progress_logger = logging.getLogger(__name__).getChild("progress") info, error, success = _logger_helper(progress_logger) @@ -146,8 +151,10 @@ def _run_index( if not cache: config.cache.type = CacheType.none - enabled_logging, log_path = enable_logging_with_config(config, verbose) - if enabled_logging: + # Log the configuration details + if config.reporting.type == ReportingType.file: + log_dir = Path(config.root_dir or "") / (config.reporting.base_dir or "") + log_path = log_dir / "logs.txt" info(f"Logging enabled at {log_path}", True) else: info( diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index 2c76bad542..4ee93c4a5b 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -8,8 +8,8 @@ import graphrag.api as api from graphrag.cli.index import _logger_helper +from graphrag.config.enums import ReportingType from graphrag.config.load_config import load_config -from graphrag.config.logging import enable_logging_with_config from graphrag.prompt_tune.generator.community_report_summarization import ( COMMUNITY_SUMMARIZATION_FILENAME, ) @@ -71,17 +71,23 @@ async def prompt_tune( graph_config.chunks.overlap = overlap # Configure the root logger with the specified log level - from graphrag.logger.standard_logging import configure_logging + from graphrag.logger.standard_logging import init_loggers - configure_logging(log_level=log_level) + # Initialize loggers with console output enabled (CLI usage) and reporting config + init_loggers( + config=graph_config.reporting, + root_dir=str(root_path), + log_level=log_level, + enable_console=True, + ) progress_logger = logging.getLogger("graphrag.cli.prompt_tune") info, error, success = _logger_helper(progress_logger) - enabled_logging, log_path = enable_logging_with_config( - graph_config, verbose, filename="prompt-tune.log" - ) - if enabled_logging: + # Log the configuration details + if graph_config.reporting.type == ReportingType.file: + log_dir = Path(root_path) / (graph_config.reporting.base_dir or "") + log_path = log_dir / "logs.txt" info(f"Logging enabled at {log_path}", verbose) else: info( diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index c9c0fd5c04..47259e66d5 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -36,6 +36,9 @@ import sys from pathlib import Path +from graphrag.config.enums import ReportingType +from graphrag.config.models.reporting_config import ReportingConfig + def configure_logging( log_level: int | str = logging.INFO, @@ -94,3 +97,92 @@ def configure_logging( # Prevent propagation to root logger to avoid duplicate logging logger.propagate = False + + +def init_loggers( + config: ReportingConfig | None = None, + root_dir: str | None = None, + log_level: int | str = logging.INFO, + enable_console: bool = False, +) -> None: + """Initialize logging handlers for graphrag based on configuration. + + This function merges the functionality of configure_logging and create_pipeline_logger + to provide a unified way to set up logging for the graphrag package. + + Parameters + ---------- + config : ReportingConfig | None, default=None + The reporting configuration. If None, defaults to file-based reporting. + root_dir : str | None, default=None + The root directory for file-based logging. + log_level : Union[int, str], default=logging.INFO + The logging level to use. Can be a string or integer. + enable_console : bool, default=False + Whether to add a console handler. Should be True only when called from CLI. + """ + # Import BlobWorkflowLogger here to avoid circular imports + from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger + + # Default to file-based logging if no config provided (maintains backward compatibility) + if config is None: + config = ReportingConfig(base_dir="logs", type=ReportingType.file) + + # Convert string log level to numeric value if needed + if isinstance(log_level, str): + log_level = getattr(logging, log_level.upper(), logging.INFO) + + # Get the root logger for graphrag + logger = logging.getLogger("graphrag") + logger.setLevel(log_level) + + # Clear any existing handlers to avoid duplicate logs + if logger.hasHandlers(): + # Close file handlers properly before removing them + for handler in logger.handlers: + if isinstance(handler, logging.FileHandler): + handler.close() + logger.handlers.clear() + + # Create standard formatter for all handlers + formatter = logging.Formatter( + fmt="%(asctime)s - %(levelname)s - %(name)s - %(message)s", + datefmt="%Y-%m-%d %H:%M:%S" + ) + + # Add console handler if requested (typically for CLI usage) + if enable_console: + console_handler = logging.StreamHandler(sys.stdout) + console_handler.setFormatter(formatter) + logger.addHandler(console_handler) + + # Add handlers based on configuration + handler: logging.Handler + match config.type: + case ReportingType.file: + # Ensure directory exists + log_dir = Path(root_dir or "") / (config.base_dir or "") + log_dir.mkdir(parents=True, exist_ok=True) + + # Create file handler with standard formatter + log_file_path = log_dir / "logs.txt" + handler = logging.FileHandler(str(log_file_path), mode="a") + handler.setFormatter(formatter) + logger.addHandler(handler) + case ReportingType.console: + # Only add console handler if not already added + if not enable_console: + handler = logging.StreamHandler(sys.stdout) + handler.setFormatter(formatter) + logger.addHandler(handler) + case ReportingType.blob: + handler = BlobWorkflowLogger( + config.connection_string, + config.container_name, + base_dir=config.base_dir, + storage_account_blob_url=config.storage_account_blob_url, + ) + logger.addHandler(handler) + + # Prevent propagation to root logger to avoid duplicate logging + logger.propagate = False diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 24b6fc4087..cdc644252b 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -7,7 +7,9 @@ import tempfile from pathlib import Path -from graphrag.logger.standard_logging import configure_logging +from graphrag.config.enums import ReportingType +from graphrag.config.models.reporting_config import ReportingConfig +from graphrag.logger.standard_logging import configure_logging, init_loggers def test_standard_logging(): @@ -57,3 +59,124 @@ def test_logger_hierarchy(): # Clean up after test root_logger.handlers.clear() + + +def test_init_loggers_console_enabled(): + """Test that init_loggers works with console enabled.""" + # Call init_loggers with console enabled (CLI mode) + init_loggers(enable_console=True, log_level="INFO") + + logger = logging.getLogger("graphrag") + + # Should have both a console handler and a file handler (default config) + console_handlers = [h for h in logger.handlers if isinstance(h, logging.StreamHandler)] + file_handlers = [h for h in logger.handlers if isinstance(h, logging.FileHandler)] + assert len(console_handlers) > 0 + assert len(file_handlers) > 0 # Due to default file config + + # Clean up + for handler in logger.handlers[:]: + if isinstance(handler, logging.FileHandler): + handler.close() + logger.handlers.clear() + + +def test_init_loggers_default_config(): + """Test that init_loggers uses default file config when none provided.""" + with tempfile.TemporaryDirectory() as temp_dir: + # Call init_loggers with no config (should default to file logging) + init_loggers(root_dir=temp_dir, log_level="INFO") + + logger = logging.getLogger("graphrag") + + # Should have a file handler due to default config + file_handlers = [h for h in logger.handlers if isinstance(h, logging.FileHandler)] + assert len(file_handlers) > 0 + + # Test logging works + test_message = "Test default config message" + logger.info(test_message) + + # Check that the log file was created with default structure + log_file = Path(temp_dir) / "logs" / "logs.txt" + assert log_file.exists() + + with open(log_file) as f: + content = f.read() + assert test_message in content + + # Clean up + for handler in logger.handlers[:]: + if isinstance(handler, logging.FileHandler): + handler.close() + logger.handlers.clear() + + +def test_init_loggers_file_config(): + """Test that init_loggers works with file configuration.""" + with tempfile.TemporaryDirectory() as temp_dir: + config = ReportingConfig( + type=ReportingType.file, + base_dir="logs" + ) + + # Call init_loggers with file config + init_loggers(config=config, root_dir=temp_dir, log_level="INFO") + + logger = logging.getLogger("graphrag") + + # Should have a file handler + file_handlers = [h for h in logger.handlers if isinstance(h, logging.FileHandler)] + assert len(file_handlers) > 0 + + # Test logging works + test_message = "Test init_loggers file message" + logger.info(test_message) + + # Check that the log file was created + log_file = Path(temp_dir) / "logs" / "logs.txt" + assert log_file.exists() + + with open(log_file) as f: + content = f.read() + assert test_message in content + + # Clean up + for handler in logger.handlers[:]: + if isinstance(handler, logging.FileHandler): + handler.close() + logger.handlers.clear() + + +def test_init_loggers_console_config(): + """Test that init_loggers works with console configuration.""" + config = ReportingConfig(type=ReportingType.console) + + # Call init_loggers with console config but no enable_console + init_loggers(config=config, log_level="INFO", enable_console=False) + + logger = logging.getLogger("graphrag") + + # Should have a console handler from the config + console_handlers = [h for h in logger.handlers if isinstance(h, logging.StreamHandler)] + assert len(console_handlers) > 0 + + # Clean up + logger.handlers.clear() + + +def test_init_loggers_both_console(): + """Test that init_loggers doesn't duplicate console handlers.""" + config = ReportingConfig(type=ReportingType.console) + + # Call init_loggers with both console config and enable_console=True + init_loggers(config=config, log_level="INFO", enable_console=True) + + logger = logging.getLogger("graphrag") + + # Should have only one console handler (no duplicates) + console_handlers = [h for h in logger.handlers if isinstance(h, logging.StreamHandler)] + assert len(console_handlers) == 1 + + # Clean up + logger.handlers.clear() From 57c41dcb3cd57e3ca7be907c3606aa44a8f9a630 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 15:48:46 +0000 Subject: [PATCH 55/88] Remove configure_logging and create_pipeline_logger functions, replace all usage with init_loggers Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../index_migration_to_v1.ipynb | 3 +- .../graph-visualization.ipynb | 6 +- graphrag/config/logging.py | 7 +- graphrag/logger/pipeline_logger.py | 63 ---------- graphrag/logger/standard_logging.py | 114 +++++++----------- tests/unit/logger/test_standard_logging.py | 10 +- 6 files changed, 59 insertions(+), 144 deletions(-) delete mode 100644 graphrag/logger/pipeline_logger.py diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index 79d9685c10..ecff51929a 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,10 +202,11 @@ "metadata": {}, "outputs": [], "source": [ + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", + "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index bbf000f36e..fb53287b55 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,6 +29,9 @@ "\n", "import pandas as pd\n", "import tiktoken\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -38,9 +41,6 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/config/logging.py b/graphrag/config/logging.py index fb7eaac7a7..0e44777bc8 100644 --- a/graphrag/config/logging.py +++ b/graphrag/config/logging.py @@ -8,7 +8,7 @@ from graphrag.config.enums import ReportingType from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.logger.standard_logging import configure_logging +from graphrag.logger.standard_logging import init_loggers def enable_logging(log_filepath: str | Path, verbose: bool = False) -> None: @@ -22,11 +22,14 @@ def enable_logging(log_filepath: str | Path, verbose: bool = False) -> None: Whether to log debug messages. """ log_level = logging.DEBUG if verbose else logging.INFO - configure_logging( + + # Use init_loggers with the specific log file and custom formatting + init_loggers( log_level=log_level, log_file=log_filepath, log_format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s", date_format="%H:%M:%S", + enable_console=False ) diff --git a/graphrag/logger/pipeline_logger.py b/graphrag/logger/pipeline_logger.py deleted file mode 100644 index 5c852847bf..0000000000 --- a/graphrag/logger/pipeline_logger.py +++ /dev/null @@ -1,63 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A module containing the pipeline logger factory.""" - -from __future__ import annotations - -import logging -import sys -from pathlib import Path - -from graphrag.config.enums import ReportingType -from graphrag.config.models.reporting_config import ReportingConfig -from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger - -logger = logging.getLogger(__name__) - - -def create_pipeline_logger( - config: ReportingConfig | None, root_dir: str | None -) -> None: - """Create and register a logging handler for the given pipeline config.""" - config = config or ReportingConfig(base_dir="logs", type=ReportingType.file) - - # Get the graphrag logger - graphrag_logger = logging.getLogger("graphrag") - - # Set the logger level to INFO by default - graphrag_logger.setLevel(logging.INFO) - - # Prevent propagation to avoid duplicate logs - graphrag_logger.propagate = False - - # Create standard formatter for all handlers - formatter = logging.Formatter( - "%(asctime)s - %(levelname)s - %(name)s - %(message)s" - ) - - # Create the appropriate handler based on configuration - handler: logging.Handler - match config.type: - case ReportingType.file: - # Ensure directory exists - log_dir = Path(root_dir or "") / (config.base_dir or "") - log_dir.mkdir(parents=True, exist_ok=True) - - # Create file handler with standard formatter - log_file_path = log_dir / "logs.txt" - handler = logging.FileHandler(str(log_file_path), mode="a") - handler.setFormatter(formatter) - case ReportingType.console: - handler = logging.StreamHandler(sys.stdout) - handler.setFormatter(formatter) - case ReportingType.blob: - handler = BlobWorkflowLogger( - config.connection_string, - config.container_name, - base_dir=config.base_dir, - storage_account_blob_url=config.storage_account_blob_url, - ) - - # Register the handler with the graphrag logger - graphrag_logger.addHandler(handler) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 47259e66d5..8e1e338d82 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -8,8 +8,8 @@ Usage: # Configuration should be done once at the start of your application: - from graphrag.logger.standard_logging import configure_logging - configure_logging(log_level="INFO", log_file="/path/to/app.log") + from graphrag.logger.standard_logging import init_loggers + init_loggers(log_level="INFO", log_file="/path/to/app.log") # Then throughout your code: import logging @@ -40,63 +40,20 @@ from graphrag.config.models.reporting_config import ReportingConfig -def configure_logging( - log_level: int | str = logging.INFO, - log_file: str | Path | None = None, - log_format: str = "%(asctime)s - %(levelname)s - %(name)s - %(message)s", - date_format: str = "%Y-%m-%d %H:%M:%S", -) -> None: - """Configure the Python logging module for graphrag. - - This function sets up a root logger for the 'graphrag' package - with handlers for console output and optionally file output. - +def get_logger(name: str) -> logging.Logger: + """Get a logger with the given name under the graphrag hierarchy. + Parameters ---------- - log_level : Union[int, str], default=logging.INFO - The logging level to use. Can be a string or integer. - log_file : Optional[Union[str, Path]], default=None - Path to a log file. If None, logs will only go to console. - log_format : str, default="%(asctime)s - %(name)s - %(levelname)s - %(message)s" - The format for log messages. - date_format : str, default="%Y-%m-%d %H:%M:%S" - The format for dates in the log messages. + name : str + The name of the logger. Typically pass __name__ to get module-specific logger. + + Returns + ------- + logging.Logger + A logger configured for the graphrag package. """ - # Convert string log level to numeric value if needed - if isinstance(log_level, str): - log_level = getattr(logging, log_level.upper(), logging.INFO) - - # Get the root logger for graphrag - logger = logging.getLogger("graphrag") - logger.setLevel(log_level) - - # Clear any existing handlers to avoid duplicate logs - if logger.hasHandlers(): - # Close file handlers properly before removing them - for handler in logger.handlers: - if isinstance(handler, logging.FileHandler): - handler.close() - logger.handlers.clear() - - # Create formatter - formatter = logging.Formatter(fmt=log_format, datefmt=date_format) - - # Console handler - console_handler = logging.StreamHandler(sys.stdout) - console_handler.setFormatter(formatter) - logger.addHandler(console_handler) - - # File handler (optional) - if log_file: - log_path = Path(log_file) - log_path.parent.mkdir(parents=True, exist_ok=True) - - file_handler = logging.FileHandler(log_path) - file_handler.setFormatter(formatter) - logger.addHandler(file_handler) - - # Prevent propagation to root logger to avoid duplicate logging - logger.propagate = False + return logging.getLogger(f"graphrag.{name}" if not name.startswith("graphrag") else name) def init_loggers( @@ -104,6 +61,9 @@ def init_loggers( root_dir: str | None = None, log_level: int | str = logging.INFO, enable_console: bool = False, + log_file: str | Path | None = None, + log_format: str = "%(asctime)s - %(levelname)s - %(name)s - %(message)s", + date_format: str = "%Y-%m-%d %H:%M:%S", ) -> None: """Initialize logging handlers for graphrag based on configuration. @@ -120,12 +80,25 @@ def init_loggers( The logging level to use. Can be a string or integer. enable_console : bool, default=False Whether to add a console handler. Should be True only when called from CLI. + log_file : Optional[Union[str, Path]], default=None + Path to a specific log file. If provided, takes precedence over config. + log_format : str, default="%(asctime)s - %(levelname)s - %(name)s - %(message)s" + The format for log messages. + date_format : str, default="%Y-%m-%d %H:%M:%S" + The format for dates in the log messages. """ # Import BlobWorkflowLogger here to avoid circular imports from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger - # Default to file-based logging if no config provided (maintains backward compatibility) - if config is None: + # If log_file is provided directly, override config to use file-based logging + if log_file: + log_path = Path(log_file) + config = ReportingConfig( + type=ReportingType.file, + base_dir=str(log_path.parent), + ) + elif config is None: + # Default to file-based logging if no config provided (maintains backward compatibility) config = ReportingConfig(base_dir="logs", type=ReportingType.file) # Convert string log level to numeric value if needed @@ -144,11 +117,8 @@ def init_loggers( handler.close() logger.handlers.clear() - # Create standard formatter for all handlers - formatter = logging.Formatter( - fmt="%(asctime)s - %(levelname)s - %(name)s - %(message)s", - datefmt="%Y-%m-%d %H:%M:%S" - ) + # Create formatter with custom format + formatter = logging.Formatter(fmt=log_format, datefmt=date_format) # Add console handler if requested (typically for CLI usage) if enable_console: @@ -160,13 +130,17 @@ def init_loggers( handler: logging.Handler match config.type: case ReportingType.file: - # Ensure directory exists - log_dir = Path(root_dir or "") / (config.base_dir or "") - log_dir.mkdir(parents=True, exist_ok=True) - - # Create file handler with standard formatter - log_file_path = log_dir / "logs.txt" - handler = logging.FileHandler(str(log_file_path), mode="a") + if log_file: + # Use the specific log file provided + log_file_path = Path(log_file) + log_file_path.parent.mkdir(parents=True, exist_ok=True) + handler = logging.FileHandler(str(log_file_path), mode="a") + else: + # Use the config-based file path + log_dir = Path(root_dir or "") / (config.base_dir or "") + log_dir.mkdir(parents=True, exist_ok=True) + log_file_path = log_dir / "logs.txt" + handler = logging.FileHandler(str(log_file_path), mode="a") handler.setFormatter(formatter) logger.addHandler(handler) case ReportingType.console: diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index cdc644252b..97fc01ab9c 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -9,7 +9,7 @@ from graphrag.config.enums import ReportingType from graphrag.config.models.reporting_config import ReportingConfig -from graphrag.logger.standard_logging import configure_logging, init_loggers +from graphrag.logger.standard_logging import init_loggers def test_standard_logging(): @@ -23,8 +23,8 @@ def test_file_logging(): with tempfile.TemporaryDirectory() as temp_dir: log_file = Path(temp_dir) / "test.log" - # Configure logging to file - configure_logging(log_file=log_file) + # Configure logging to file using init_loggers + init_loggers(log_file=log_file) # Get a logger and log some messages logger = logging.getLogger("graphrag.test") @@ -47,8 +47,8 @@ def test_file_logging(): def test_logger_hierarchy(): """Test that logger hierarchy works correctly.""" - # Reset logging to default state - configure_logging() + # Reset logging to default state using init_loggers + init_loggers() root_logger = logging.getLogger("graphrag") child_logger = logging.getLogger("graphrag.child") From e7e0449bc0adc6b8e7ff5702a9f092fbcb608f48 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Tue, 3 Jun 2025 12:24:17 -0400 Subject: [PATCH 56/88] apply ruff fixes --- .../index_migration_to_v1.ipynb | 3 +- .../graph-visualization.ipynb | 6 +- graphrag/api/index.py | 1 + graphrag/config/logging.py | 4 +- graphrag/logger/standard_logging.py | 16 ++-- tests/unit/logger/test_standard_logging.py | 73 ++++++++++--------- 6 files changed, 56 insertions(+), 47 deletions(-) diff --git a/docs/examples_notebooks/index_migration_to_v1.ipynb b/docs/examples_notebooks/index_migration_to_v1.ipynb index ecff51929a..79d9685c10 100644 --- a/docs/examples_notebooks/index_migration_to_v1.ipynb +++ b/docs/examples_notebooks/index_migration_to_v1.ipynb @@ -202,11 +202,10 @@ "metadata": {}, "outputs": [], "source": [ - "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", - "\n", "from graphrag.cache.factory import CacheFactory\n", "from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks\n", "from graphrag.config.embeddings import get_embedded_fields, get_embedding_settings\n", + "from graphrag.index.flows.generate_text_embeddings import generate_text_embeddings\n", "\n", "# We only need to re-run the embeddings workflow, to ensure that embeddings for all required search fields are in place\n", "# We'll construct the context and run this function flow directly to avoid everything else\n", diff --git a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb index fb53287b55..bbf000f36e 100644 --- a/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb +++ b/examples_notebooks/community_contrib/yfiles-jupyter-graphs/graph-visualization.ipynb @@ -29,9 +29,6 @@ "\n", "import pandas as pd\n", "import tiktoken\n", - "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", - "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", - "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "\n", "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n", "from graphrag.query.indexer_adapters import (\n", @@ -41,6 +38,9 @@ " read_indexer_reports,\n", " read_indexer_text_units,\n", ")\n", + "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n", + "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n", + "from graphrag.query.llm.oai.typing import OpenaiApiType\n", "from graphrag.query.structured_search.local_search.mixed_context import (\n", " LocalSearchMixedContext,\n", ")\n", diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 7098d86a3d..ce5c723ac5 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -49,6 +49,7 @@ async def build_index( """ # Register pipeline logger with the graphrag logger from graphrag.logger.standard_logging import init_loggers + init_loggers(config=config.reporting, root_dir=None, enable_console=False) # Create a logging-based workflow callbacks for pipeline lifecycle events diff --git a/graphrag/config/logging.py b/graphrag/config/logging.py index 0e44777bc8..e53acd97d3 100644 --- a/graphrag/config/logging.py +++ b/graphrag/config/logging.py @@ -22,14 +22,14 @@ def enable_logging(log_filepath: str | Path, verbose: bool = False) -> None: Whether to log debug messages. """ log_level = logging.DEBUG if verbose else logging.INFO - + # Use init_loggers with the specific log file and custom formatting init_loggers( log_level=log_level, log_file=log_filepath, log_format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s", date_format="%H:%M:%S", - enable_console=False + enable_console=False, ) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 8e1e338d82..4d8e72fb7d 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -42,18 +42,20 @@ def get_logger(name: str) -> logging.Logger: """Get a logger with the given name under the graphrag hierarchy. - + Parameters ---------- name : str The name of the logger. Typically pass __name__ to get module-specific logger. - + Returns ------- logging.Logger A logger configured for the graphrag package. """ - return logging.getLogger(f"graphrag.{name}" if not name.startswith("graphrag") else name) + return logging.getLogger( + f"graphrag.{name}" if not name.startswith("graphrag") else name + ) def init_loggers( @@ -66,10 +68,10 @@ def init_loggers( date_format: str = "%Y-%m-%d %H:%M:%S", ) -> None: """Initialize logging handlers for graphrag based on configuration. - + This function merges the functionality of configure_logging and create_pipeline_logger to provide a unified way to set up logging for the graphrag package. - + Parameters ---------- config : ReportingConfig | None, default=None @@ -89,7 +91,7 @@ def init_loggers( """ # Import BlobWorkflowLogger here to avoid circular imports from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger - + # If log_file is provided directly, override config to use file-based logging if log_file: log_path = Path(log_file) @@ -100,7 +102,7 @@ def init_loggers( elif config is None: # Default to file-based logging if no config provided (maintains backward compatibility) config = ReportingConfig(base_dir="logs", type=ReportingType.file) - + # Convert string log level to numeric value if needed if isinstance(log_level, str): log_level = getattr(logging, log_level.upper(), logging.INFO) diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 97fc01ab9c..f1d367f145 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -65,15 +65,17 @@ def test_init_loggers_console_enabled(): """Test that init_loggers works with console enabled.""" # Call init_loggers with console enabled (CLI mode) init_loggers(enable_console=True, log_level="INFO") - + logger = logging.getLogger("graphrag") - + # Should have both a console handler and a file handler (default config) - console_handlers = [h for h in logger.handlers if isinstance(h, logging.StreamHandler)] + console_handlers = [ + h for h in logger.handlers if isinstance(h, logging.StreamHandler) + ] file_handlers = [h for h in logger.handlers if isinstance(h, logging.FileHandler)] assert len(console_handlers) > 0 assert len(file_handlers) > 0 # Due to default file config - + # Clean up for handler in logger.handlers[:]: if isinstance(handler, logging.FileHandler): @@ -86,25 +88,27 @@ def test_init_loggers_default_config(): with tempfile.TemporaryDirectory() as temp_dir: # Call init_loggers with no config (should default to file logging) init_loggers(root_dir=temp_dir, log_level="INFO") - + logger = logging.getLogger("graphrag") - + # Should have a file handler due to default config - file_handlers = [h for h in logger.handlers if isinstance(h, logging.FileHandler)] + file_handlers = [ + h for h in logger.handlers if isinstance(h, logging.FileHandler) + ] assert len(file_handlers) > 0 - + # Test logging works test_message = "Test default config message" logger.info(test_message) - + # Check that the log file was created with default structure log_file = Path(temp_dir) / "logs" / "logs.txt" assert log_file.exists() - + with open(log_file) as f: content = f.read() assert test_message in content - + # Clean up for handler in logger.handlers[:]: if isinstance(handler, logging.FileHandler): @@ -115,32 +119,31 @@ def test_init_loggers_default_config(): def test_init_loggers_file_config(): """Test that init_loggers works with file configuration.""" with tempfile.TemporaryDirectory() as temp_dir: - config = ReportingConfig( - type=ReportingType.file, - base_dir="logs" - ) - + config = ReportingConfig(type=ReportingType.file, base_dir="logs") + # Call init_loggers with file config init_loggers(config=config, root_dir=temp_dir, log_level="INFO") - + logger = logging.getLogger("graphrag") - + # Should have a file handler - file_handlers = [h for h in logger.handlers if isinstance(h, logging.FileHandler)] + file_handlers = [ + h for h in logger.handlers if isinstance(h, logging.FileHandler) + ] assert len(file_handlers) > 0 - + # Test logging works test_message = "Test init_loggers file message" logger.info(test_message) - + # Check that the log file was created log_file = Path(temp_dir) / "logs" / "logs.txt" assert log_file.exists() - + with open(log_file) as f: content = f.read() assert test_message in content - + # Clean up for handler in logger.handlers[:]: if isinstance(handler, logging.FileHandler): @@ -151,16 +154,18 @@ def test_init_loggers_file_config(): def test_init_loggers_console_config(): """Test that init_loggers works with console configuration.""" config = ReportingConfig(type=ReportingType.console) - + # Call init_loggers with console config but no enable_console init_loggers(config=config, log_level="INFO", enable_console=False) - + logger = logging.getLogger("graphrag") - + # Should have a console handler from the config - console_handlers = [h for h in logger.handlers if isinstance(h, logging.StreamHandler)] + console_handlers = [ + h for h in logger.handlers if isinstance(h, logging.StreamHandler) + ] assert len(console_handlers) > 0 - + # Clean up logger.handlers.clear() @@ -168,15 +173,17 @@ def test_init_loggers_console_config(): def test_init_loggers_both_console(): """Test that init_loggers doesn't duplicate console handlers.""" config = ReportingConfig(type=ReportingType.console) - + # Call init_loggers with both console config and enable_console=True init_loggers(config=config, log_level="INFO", enable_console=True) - + logger = logging.getLogger("graphrag") - + # Should have only one console handler (no duplicates) - console_handlers = [h for h in logger.handlers if isinstance(h, logging.StreamHandler)] + console_handlers = [ + h for h in logger.handlers if isinstance(h, logging.StreamHandler) + ] assert len(console_handlers) == 1 - + # Clean up logger.handlers.clear() From e393874a2c15d9eefdb79fa59634e1fd348e996f Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Tue, 3 Jun 2025 17:33:59 -0400 Subject: [PATCH 57/88] cleanup unused code --- graphrag/config/logging.py | 61 ------------------------- graphrag/logger/blob_workflow_logger.py | 4 +- graphrag/logger/standard_logging.py | 21 +-------- 3 files changed, 4 insertions(+), 82 deletions(-) delete mode 100644 graphrag/config/logging.py diff --git a/graphrag/config/logging.py b/graphrag/config/logging.py deleted file mode 100644 index e53acd97d3..0000000000 --- a/graphrag/config/logging.py +++ /dev/null @@ -1,61 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Logging utilities. A unified way for enabling logging.""" - -import logging -from pathlib import Path - -from graphrag.config.enums import ReportingType -from graphrag.config.models.graph_rag_config import GraphRagConfig -from graphrag.logger.standard_logging import init_loggers - - -def enable_logging(log_filepath: str | Path, verbose: bool = False) -> None: - """Enable logging to a file. - - Parameters - ---------- - log_filepath : str | Path - The path to the log file. - verbose : bool, default=False - Whether to log debug messages. - """ - log_level = logging.DEBUG if verbose else logging.INFO - - # Use init_loggers with the specific log file and custom formatting - init_loggers( - log_level=log_level, - log_file=log_filepath, - log_format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s", - date_format="%H:%M:%S", - enable_console=False, - ) - - -def enable_logging_with_config( - config: GraphRagConfig, verbose: bool = False, filename: str = "indexing-engine.log" -) -> tuple[bool, str]: - """Enable logging to a file based on the config. - - Parameters - ---------- - config : GraphRagConfig - The configuration. - verbose : bool, default=False - Whether to log debug messages. - filename : str, default="indexing-engine.log" - The name of the log file. - - Returns - ------- - tuple[bool, str] - A tuple of a boolean indicating if logging was enabled and the path to the log file. - (False, "") if logging was not enabled. - (True, str) if logging was enabled. - """ - if config.reporting.type == ReportingType.file: - log_path = Path(config.reporting.base_dir) / filename - enable_logging(log_path, verbose) - return (True, str(log_path)) - return (False, "") diff --git a/graphrag/logger/blob_workflow_logger.py b/graphrag/logger/blob_workflow_logger.py index f8e225462d..c66ddc536b 100644 --- a/graphrag/logger/blob_workflow_logger.py +++ b/graphrag/logger/blob_workflow_logger.py @@ -9,8 +9,8 @@ from pathlib import Path from typing import Any -from azure.identity import DefaultAzureCredential # type: ignore[reportMissingImports] -from azure.storage.blob import BlobServiceClient # type: ignore[reportMissingImports] +from azure.identity import DefaultAzureCredential +from azure.storage.blob import BlobServiceClient class BlobWorkflowLogger(logging.Handler): diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 4d8e72fb7d..3a457bd94a 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -37,34 +37,17 @@ from pathlib import Path from graphrag.config.enums import ReportingType +from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.config.models.reporting_config import ReportingConfig -def get_logger(name: str) -> logging.Logger: - """Get a logger with the given name under the graphrag hierarchy. - - Parameters - ---------- - name : str - The name of the logger. Typically pass __name__ to get module-specific logger. - - Returns - ------- - logging.Logger - A logger configured for the graphrag package. - """ - return logging.getLogger( - f"graphrag.{name}" if not name.startswith("graphrag") else name - ) - - def init_loggers( config: ReportingConfig | None = None, root_dir: str | None = None, log_level: int | str = logging.INFO, enable_console: bool = False, log_file: str | Path | None = None, - log_format: str = "%(asctime)s - %(levelname)s - %(name)s - %(message)s", + log_format: str = "%(asctime)s.%(msecs)04d - %(levelname)s - %(name)s - %(message)s", date_format: str = "%Y-%m-%d %H:%M:%S", ) -> None: """Initialize logging handlers for graphrag based on configuration. From 40eeec7c6bf9eb0dba925ff5af441323b171f779 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 21:47:35 +0000 Subject: [PATCH 58/88] Update init_loggers to accept GraphRagConfig instead of ReportingConfig Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/api/index.py | 2 +- graphrag/cli/index.py | 2 +- graphrag/cli/prompt_tune.py | 2 +- graphrag/logger/standard_logging.py | 31 +++++++++++++--------- tests/unit/logger/test_standard_logging.py | 14 +++++++--- 5 files changed, 32 insertions(+), 19 deletions(-) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index ce5c723ac5..1805ab16e5 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -50,7 +50,7 @@ async def build_index( # Register pipeline logger with the graphrag logger from graphrag.logger.standard_logging import init_loggers - init_loggers(config=config.reporting, root_dir=None, enable_console=False) + init_loggers(config=config, root_dir=None, enable_console=False) # Create a logging-based workflow callbacks for pipeline lifecycle events workflow_callbacks = LoggingWorkflowCallbacks() diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index dc9e54ec43..c2993eb478 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -139,7 +139,7 @@ def _run_index( # Initialize loggers with console output enabled (CLI usage) and reporting config init_loggers( - config=config.reporting, + config=config, root_dir=str(config.root_dir) if config.root_dir else None, log_level=log_level, enable_console=True, diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index 4ee93c4a5b..7e28ad3d27 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -75,7 +75,7 @@ async def prompt_tune( # Initialize loggers with console output enabled (CLI usage) and reporting config init_loggers( - config=graph_config.reporting, + config=graph_config, root_dir=str(root_path), log_level=log_level, enable_console=True, diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 3a457bd94a..bfcbe2cbe6 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -42,7 +42,7 @@ def init_loggers( - config: ReportingConfig | None = None, + config: GraphRagConfig | None = None, root_dir: str | None = None, log_level: int | str = logging.INFO, enable_console: bool = False, @@ -57,8 +57,8 @@ def init_loggers( Parameters ---------- - config : ReportingConfig | None, default=None - The reporting configuration. If None, defaults to file-based reporting. + config : GraphRagConfig | None, default=None + The GraphRAG configuration. If None, defaults to file-based reporting. root_dir : str | None, default=None The root directory for file-based logging. log_level : Union[int, str], default=logging.INFO @@ -75,16 +75,21 @@ def init_loggers( # Import BlobWorkflowLogger here to avoid circular imports from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger - # If log_file is provided directly, override config to use file-based logging + # Extract reporting config from GraphRagConfig if provided + reporting_config: ReportingConfig if log_file: + # If log_file is provided directly, override config to use file-based logging log_path = Path(log_file) - config = ReportingConfig( + reporting_config = ReportingConfig( type=ReportingType.file, base_dir=str(log_path.parent), ) - elif config is None: + elif config is not None: + # Use the reporting configuration from GraphRagConfig + reporting_config = config.reporting + else: # Default to file-based logging if no config provided (maintains backward compatibility) - config = ReportingConfig(base_dir="logs", type=ReportingType.file) + reporting_config = ReportingConfig(base_dir="logs", type=ReportingType.file) # Convert string log level to numeric value if needed if isinstance(log_level, str): @@ -113,7 +118,7 @@ def init_loggers( # Add handlers based on configuration handler: logging.Handler - match config.type: + match reporting_config.type: case ReportingType.file: if log_file: # Use the specific log file provided @@ -122,7 +127,7 @@ def init_loggers( handler = logging.FileHandler(str(log_file_path), mode="a") else: # Use the config-based file path - log_dir = Path(root_dir or "") / (config.base_dir or "") + log_dir = Path(root_dir or "") / (reporting_config.base_dir or "") log_dir.mkdir(parents=True, exist_ok=True) log_file_path = log_dir / "logs.txt" handler = logging.FileHandler(str(log_file_path), mode="a") @@ -136,10 +141,10 @@ def init_loggers( logger.addHandler(handler) case ReportingType.blob: handler = BlobWorkflowLogger( - config.connection_string, - config.container_name, - base_dir=config.base_dir, - storage_account_blob_url=config.storage_account_blob_url, + reporting_config.connection_string, + reporting_config.container_name, + base_dir=reporting_config.base_dir, + storage_account_blob_url=reporting_config.storage_account_blob_url, ) logger.addHandler(handler) diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index f1d367f145..81a31752a3 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -8,6 +8,7 @@ from pathlib import Path from graphrag.config.enums import ReportingType +from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.config.models.reporting_config import ReportingConfig from graphrag.logger.standard_logging import init_loggers @@ -119,7 +120,10 @@ def test_init_loggers_default_config(): def test_init_loggers_file_config(): """Test that init_loggers works with file configuration.""" with tempfile.TemporaryDirectory() as temp_dir: - config = ReportingConfig(type=ReportingType.file, base_dir="logs") + config = GraphRagConfig( + root_dir=temp_dir, + reporting=ReportingConfig(type=ReportingType.file, base_dir="logs") + ) # Call init_loggers with file config init_loggers(config=config, root_dir=temp_dir, log_level="INFO") @@ -153,7 +157,9 @@ def test_init_loggers_file_config(): def test_init_loggers_console_config(): """Test that init_loggers works with console configuration.""" - config = ReportingConfig(type=ReportingType.console) + config = GraphRagConfig( + reporting=ReportingConfig(type=ReportingType.console) + ) # Call init_loggers with console config but no enable_console init_loggers(config=config, log_level="INFO", enable_console=False) @@ -172,7 +178,9 @@ def test_init_loggers_console_config(): def test_init_loggers_both_console(): """Test that init_loggers doesn't duplicate console handlers.""" - config = ReportingConfig(type=ReportingType.console) + config = GraphRagConfig( + reporting=ReportingConfig(type=ReportingType.console) + ) # Call init_loggers with both console config and enable_console=True init_loggers(config=config, log_level="INFO", enable_console=True) From dd70fca158658c3bc5cdb6e09ebca056e81458c4 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Tue, 3 Jun 2025 18:05:08 -0400 Subject: [PATCH 59/88] apply ruff check fixes --- tests/unit/logger/test_standard_logging.py | 10 +++------- 1 file changed, 3 insertions(+), 7 deletions(-) diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 81a31752a3..5bb7f27013 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -122,7 +122,7 @@ def test_init_loggers_file_config(): with tempfile.TemporaryDirectory() as temp_dir: config = GraphRagConfig( root_dir=temp_dir, - reporting=ReportingConfig(type=ReportingType.file, base_dir="logs") + reporting=ReportingConfig(type=ReportingType.file, base_dir="logs"), ) # Call init_loggers with file config @@ -157,9 +157,7 @@ def test_init_loggers_file_config(): def test_init_loggers_console_config(): """Test that init_loggers works with console configuration.""" - config = GraphRagConfig( - reporting=ReportingConfig(type=ReportingType.console) - ) + config = GraphRagConfig(reporting=ReportingConfig(type=ReportingType.console)) # Call init_loggers with console config but no enable_console init_loggers(config=config, log_level="INFO", enable_console=False) @@ -178,9 +176,7 @@ def test_init_loggers_console_config(): def test_init_loggers_both_console(): """Test that init_loggers doesn't duplicate console handlers.""" - config = GraphRagConfig( - reporting=ReportingConfig(type=ReportingType.console) - ) + config = GraphRagConfig(reporting=ReportingConfig(type=ReportingType.console)) # Call init_loggers with both console config and enable_console=True init_loggers(config=config, log_level="INFO", enable_console=True) From 9ddb0112c781bdc5d6711ad549ad137a247a905d Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Tue, 3 Jun 2025 22:22:23 +0000 Subject: [PATCH 60/88] Fix test failures by providing valid GraphRagConfig with required model configurations Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- tests/unit/logger/test_standard_logging.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 5bb7f27013..4cc35bd8c9 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -11,6 +11,7 @@ from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.config.models.reporting_config import ReportingConfig from graphrag.logger.standard_logging import init_loggers +from tests.unit.config.utils import get_default_graphrag_config def test_standard_logging(): @@ -120,10 +121,8 @@ def test_init_loggers_default_config(): def test_init_loggers_file_config(): """Test that init_loggers works with file configuration.""" with tempfile.TemporaryDirectory() as temp_dir: - config = GraphRagConfig( - root_dir=temp_dir, - reporting=ReportingConfig(type=ReportingType.file, base_dir="logs"), - ) + config = get_default_graphrag_config(root_dir=temp_dir) + config.reporting = ReportingConfig(type=ReportingType.file, base_dir="logs") # Call init_loggers with file config init_loggers(config=config, root_dir=temp_dir, log_level="INFO") @@ -157,7 +156,8 @@ def test_init_loggers_file_config(): def test_init_loggers_console_config(): """Test that init_loggers works with console configuration.""" - config = GraphRagConfig(reporting=ReportingConfig(type=ReportingType.console)) + config = get_default_graphrag_config() + config.reporting = ReportingConfig(type=ReportingType.console) # Call init_loggers with console config but no enable_console init_loggers(config=config, log_level="INFO", enable_console=False) @@ -176,7 +176,8 @@ def test_init_loggers_console_config(): def test_init_loggers_both_console(): """Test that init_loggers doesn't duplicate console handlers.""" - config = GraphRagConfig(reporting=ReportingConfig(type=ReportingType.console)) + config = get_default_graphrag_config() + config.reporting = ReportingConfig(type=ReportingType.console) # Call init_loggers with both console config and enable_console=True init_loggers(config=config, log_level="INFO", enable_console=True) From 5a0b938e54278e3ca063c6df2f1de89fe339585f Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Tue, 3 Jun 2025 18:25:38 -0400 Subject: [PATCH 61/88] apply ruff fixes --- tests/unit/logger/test_standard_logging.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 4cc35bd8c9..6e7910132f 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -8,7 +8,6 @@ from pathlib import Path from graphrag.config.enums import ReportingType -from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.config.models.reporting_config import ReportingConfig from graphrag.logger.standard_logging import init_loggers from tests.unit.config.utils import get_default_graphrag_config From d8b0733c283579b0b0c1dd8a62f5d001e3f28987 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Tue, 3 Jun 2025 19:30:23 -0400 Subject: [PATCH 62/88] remove logging_workflow_callback --- graphrag/api/index.py | 6 +-- .../callbacks/logging_workflow_callbacks.py | 38 ------------------- graphrag/callbacks/noop_workflow_callbacks.py | 17 +++++++-- 3 files changed, 17 insertions(+), 44 deletions(-) delete mode 100644 graphrag/callbacks/logging_workflow_callbacks.py diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 1805ab16e5..28102cf2fe 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -10,7 +10,7 @@ import logging -from graphrag.callbacks.logging_workflow_callbacks import LoggingWorkflowCallbacks +from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks from graphrag.config.enums import IndexingMethod from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.index.run.run_pipeline import run_pipeline @@ -52,8 +52,8 @@ async def build_index( init_loggers(config=config, root_dir=None, enable_console=False) - # Create a logging-based workflow callbacks for pipeline lifecycle events - workflow_callbacks = LoggingWorkflowCallbacks() + # Create a no-op workflow callbacks for pipeline lifecycle events + workflow_callbacks = NoopWorkflowCallbacks() # Add any additional callbacks to the chain if callbacks: diff --git a/graphrag/callbacks/logging_workflow_callbacks.py b/graphrag/callbacks/logging_workflow_callbacks.py deleted file mode 100644 index c3497e75b6..0000000000 --- a/graphrag/callbacks/logging_workflow_callbacks.py +++ /dev/null @@ -1,38 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""A simple WorkflowCallbacks implementation that uses standard logging.""" - -import logging - -from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks -from graphrag.index.typing.pipeline_run_result import PipelineRunResult -from graphrag.logger.progress import Progress - - -class LoggingWorkflowCallbacks(WorkflowCallbacks): - """A WorkflowCallbacks implementation that forwards all events to standard logging.""" - - def __init__(self, logger_name: str = "graphrag"): - """Initialize the logging workflow callbacks.""" - self.logger = logging.getLogger(logger_name) - - def pipeline_start(self, names: list[str]) -> None: - """Execute this callback to signal when the entire pipeline starts.""" - self.logger.info("Pipeline started: %s", names) - - def pipeline_end(self, results: list[PipelineRunResult]) -> None: - """Execute this callback to signal when the entire pipeline ends.""" - self.logger.info("Pipeline completed with %d workflows", len(results)) - - def workflow_start(self, name: str, instance: object) -> None: - """Execute this callback when a workflow starts.""" - self.logger.info("Workflow started: %s", name) - - def workflow_end(self, name: str, instance: object) -> None: - """Execute this callback when a workflow ends.""" - self.logger.info("Workflow completed: %s", name) - - def progress(self, progress: Progress) -> None: - """Handle when progress occurs.""" - self.logger.debug("Progress: %s", str(progress)) diff --git a/graphrag/callbacks/noop_workflow_callbacks.py b/graphrag/callbacks/noop_workflow_callbacks.py index 227f8b193a..3d6b134d95 100644 --- a/graphrag/callbacks/noop_workflow_callbacks.py +++ b/graphrag/callbacks/noop_workflow_callbacks.py @@ -3,25 +3,36 @@ """A no-op implementation of WorkflowCallbacks.""" +import logging + from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.logger.progress import Progress class NoopWorkflowCallbacks(WorkflowCallbacks): - """A no-op implementation of WorkflowCallbacks.""" + """A no-op implementation of WorkflowCallbacks that logs all events to standard logging.""" + + def __init__(self, logger_name: str = "graphrag"): + """Initialize a logger.""" + self.logger = logging.getLogger(logger_name) def pipeline_start(self, names: list[str]) -> None: - """Execute this callback when a the entire pipeline starts.""" + """Execute this callback to signal when the entire pipeline starts.""" + self.logger.info("Pipeline started: %s", names) def pipeline_end(self, results: list[PipelineRunResult]) -> None: - """Execute this callback when the entire pipeline ends.""" + """Execute this callback to signal when the entire pipeline ends.""" + self.logger.info("Pipeline completed with %d workflows", len(results)) def workflow_start(self, name: str, instance: object) -> None: """Execute this callback when a workflow starts.""" + self.logger.info("Workflow started: %s", name) def workflow_end(self, name: str, instance: object) -> None: """Execute this callback when a workflow ends.""" + self.logger.info("Workflow completed: %s", name) def progress(self, progress: Progress) -> None: """Handle when progress occurs.""" + self.logger.debug("Progress: %s", str(progress)) From 70cc88dd63243b9c7a72bb2907c075475e480bec Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Thu, 5 Jun 2025 05:30:59 -0400 Subject: [PATCH 63/88] cleanup logging messages --- graphrag/api/index.py | 2 ++ graphrag/callbacks/noop_workflow_callbacks.py | 4 ---- graphrag/index/run/run_pipeline.py | 4 ++-- graphrag/index/workflows/create_base_text_units.py | 3 +++ graphrag/logger/progress.py | 12 +++++++----- graphrag/logger/standard_logging.py | 2 +- 6 files changed, 15 insertions(+), 12 deletions(-) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 28102cf2fe..fe5cea70d4 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -68,6 +68,7 @@ async def build_index( pipeline = PipelineFactory.create_pipeline(config, method, is_update_run) + logger.info("Pipeline started: %s", pipeline.names()) workflow_callbacks.pipeline_start(pipeline.names()) async for output in run_pipeline( @@ -83,6 +84,7 @@ async def build_index( logger.info("Workflow %s completed successfully", output.workflow) logger.debug(str(output.result)) + logger.info("Pipeline completed with %d workflows", len(outputs)) workflow_callbacks.pipeline_end(outputs) return outputs diff --git a/graphrag/callbacks/noop_workflow_callbacks.py b/graphrag/callbacks/noop_workflow_callbacks.py index 3d6b134d95..5ec66fb625 100644 --- a/graphrag/callbacks/noop_workflow_callbacks.py +++ b/graphrag/callbacks/noop_workflow_callbacks.py @@ -19,19 +19,15 @@ def __init__(self, logger_name: str = "graphrag"): def pipeline_start(self, names: list[str]) -> None: """Execute this callback to signal when the entire pipeline starts.""" - self.logger.info("Pipeline started: %s", names) def pipeline_end(self, results: list[PipelineRunResult]) -> None: """Execute this callback to signal when the entire pipeline ends.""" - self.logger.info("Pipeline completed with %d workflows", len(results)) def workflow_start(self, name: str, instance: object) -> None: """Execute this callback when a workflow starts.""" - self.logger.info("Workflow started: %s", name) def workflow_end(self, name: str, instance: object) -> None: """Execute this callback when a workflow ends.""" - self.logger.info("Workflow completed: %s", name) def progress(self, progress: Progress) -> None: """Handle when progress occurs.""" diff --git a/graphrag/index/run/run_pipeline.py b/graphrag/index/run/run_pipeline.py index 2b3aca96e8..f5cdb86718 100644 --- a/graphrag/index/run/run_pipeline.py +++ b/graphrag/index/run/run_pipeline.py @@ -116,11 +116,11 @@ async def _run_pipeline( for name, workflow_function in pipeline.run(): last_workflow = name - logger.info("Starting workflow: %s", name) + logger.info("Workflow started: %s", name) context.callbacks.workflow_start(name, None) work_time = time.time() result = await workflow_function(config, context) - logger.info("Completed workflow: %s", name) + logger.info("Workflow completed: %s", name) context.callbacks.workflow_end(name, result) yield PipelineRunResult( workflow=name, result=result.result, state=context.state, errors=None diff --git a/graphrag/index/workflows/create_base_text_units.py b/graphrag/index/workflows/create_base_text_units.py index 30d4f2a71a..5f52a967df 100644 --- a/graphrag/index/workflows/create_base_text_units.py +++ b/graphrag/index/workflows/create_base_text_units.py @@ -4,6 +4,7 @@ """A module containing run_workflow method definition.""" import json +import logging from typing import Any, cast import pandas as pd @@ -19,6 +20,8 @@ from graphrag.logger.progress import Progress from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, diff --git a/graphrag/logger/progress.py b/graphrag/logger/progress.py index 536786100b..3b91877939 100644 --- a/graphrag/logger/progress.py +++ b/graphrag/logger/progress.py @@ -3,11 +3,13 @@ """Progress reporting types.""" +import logging from collections.abc import Callable, Iterable from dataclasses import dataclass from typing import TypeVar T = TypeVar("T") +logger = logging.getLogger(__name__) @dataclass @@ -24,7 +26,7 @@ class Progress: """Total number of items""" completed_items: int | None = None - """Number of items completed""" "" + """Number of items completed""" ProgressHandler = Callable[[Progress], None] @@ -47,11 +49,11 @@ def __call__(self, num_ticks: int = 1) -> None: """Emit progress.""" self._num_complete += num_ticks if self._callback is not None: - self._callback( - Progress( - total_items=self._num_total, completed_items=self._num_complete - ) + p = Progress( + total_items=self._num_total, completed_items=self._num_complete ) + logger.info("Progress: %s/%s", str(p.completed_items), str(p.total_items)) + self._callback(p) def done(self) -> None: """Mark the progress as done.""" diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index bfcbe2cbe6..246728c60e 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -136,7 +136,7 @@ def init_loggers( case ReportingType.console: # Only add console handler if not already added if not enable_console: - handler = logging.StreamHandler(sys.stdout) + handler = logging.StreamHandler() handler.setFormatter(formatter) logger.addHandler(handler) case ReportingType.blob: From acabd599a1c3ea7fee9e052b5e74fb660aeda9d2 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Thu, 5 Jun 2025 09:41:30 +0000 Subject: [PATCH 64/88] Add logging to track progress of pandas DataFrame apply operation in create_base_text_units Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- graphrag/index/workflows/create_base_text_units.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/graphrag/index/workflows/create_base_text_units.py b/graphrag/index/workflows/create_base_text_units.py index 5f52a967df..67c6567a65 100644 --- a/graphrag/index/workflows/create_base_text_units.py +++ b/graphrag/index/workflows/create_base_text_units.py @@ -128,7 +128,18 @@ def chunker(row: dict[str, Any]) -> Any: row["chunks"] = chunked return row - aggregated = aggregated.apply(lambda row: chunker(row), axis=1) + # Track progress of row-wise apply operation + total_rows = len(aggregated) + logger.info("Starting chunking process for %d rows", total_rows) + + def chunker_with_logging(row: pd.Series) -> Any: + """Add logging to chunker execution.""" + row_index = row.name # pandas Series.name contains the index + result = chunker(row.to_dict()) + logger.info("Completed chunking for row %d/%d", row_index + 1, total_rows) + return result + + aggregated = aggregated.apply(chunker_with_logging, axis=1) aggregated = cast("pd.DataFrame", aggregated[[*group_by_columns, "chunks"]]) aggregated = aggregated.explode("chunks") From 1f5424b81c9f859f8167bb840ee61a73528c20ed Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Thu, 5 Jun 2025 17:44:00 -0400 Subject: [PATCH 65/88] cleanup logger logic throughout codebase --- graphrag/api/index.py | 5 +- graphrag/callbacks/noop_workflow_callbacks.py | 1 - graphrag/cli/index.py | 64 ++++++------------- graphrag/cli/main.py | 18 ------ graphrag/cli/prompt_tune.py | 27 ++++---- graphrag/cli/query.py | 9 ++- .../build_noun_graph/build_noun_graph.py | 1 + .../index/operations/embed_text/embed_text.py | 7 ++ .../operations/embed_text/strategies/mock.py | 4 +- .../embed_text/strategies/openai.py | 6 +- .../extract_covariates/extract_covariates.py | 1 + .../operations/extract_graph/extract_graph.py | 1 + .../summarize_communities.py | 3 +- .../summarize_descriptions.py | 6 +- graphrag/index/run/run_pipeline.py | 6 +- graphrag/index/utils/derive_from_rows.py | 20 ++++-- graphrag/index/validate_config.py | 4 +- .../index/workflows/create_base_text_units.py | 21 +++--- .../index/workflows/create_communities.py | 5 ++ .../workflows/create_community_reports.py | 6 ++ .../create_community_reports_text.py | 2 + .../index/workflows/create_final_documents.py | 6 ++ .../workflows/create_final_text_units.py | 6 ++ .../index/workflows/extract_covariates.py | 5 ++ graphrag/index/workflows/extract_graph.py | 2 + graphrag/index/workflows/extract_graph_nlp.py | 7 ++ graphrag/index/workflows/factory.py | 4 ++ graphrag/index/workflows/finalize_graph.py | 6 ++ .../workflows/generate_text_embeddings.py | 2 + graphrag/index/workflows/prune_graph.py | 6 ++ .../index/workflows/update_clean_state.py | 3 +- .../index/workflows/update_communities.py | 3 +- .../workflows/update_community_reports.py | 3 +- graphrag/index/workflows/update_covariates.py | 2 + .../update_entities_relationships.py | 3 +- .../index/workflows/update_final_documents.py | 3 +- .../index/workflows/update_text_embeddings.py | 3 +- graphrag/index/workflows/update_text_units.py | 3 +- graphrag/logger/progress.py | 30 +++++++-- graphrag/logger/standard_logging.py | 33 +++------- tests/unit/logger/test_standard_logging.py | 10 +-- 41 files changed, 207 insertions(+), 150 deletions(-) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index fe5cea70d4..6deb62ec13 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -50,7 +50,7 @@ async def build_index( # Register pipeline logger with the graphrag logger from graphrag.logger.standard_logging import init_loggers - init_loggers(config=config, root_dir=None, enable_console=False) + init_loggers(config=config, root_dir=None) # Create a no-op workflow callbacks for pipeline lifecycle events workflow_callbacks = NoopWorkflowCallbacks() @@ -66,9 +66,9 @@ async def build_index( if memory_profile: logger.warning("New pipeline does not yet support memory profiling.") + logger.info("Initializing indexing pipeline...") pipeline = PipelineFactory.create_pipeline(config, method, is_update_run) - logger.info("Pipeline started: %s", pipeline.names()) workflow_callbacks.pipeline_start(pipeline.names()) async for output in run_pipeline( @@ -84,7 +84,6 @@ async def build_index( logger.info("Workflow %s completed successfully", output.workflow) logger.debug(str(output.result)) - logger.info("Pipeline completed with %d workflows", len(outputs)) workflow_callbacks.pipeline_end(outputs) return outputs diff --git a/graphrag/callbacks/noop_workflow_callbacks.py b/graphrag/callbacks/noop_workflow_callbacks.py index 5ec66fb625..8446660151 100644 --- a/graphrag/callbacks/noop_workflow_callbacks.py +++ b/graphrag/callbacks/noop_workflow_callbacks.py @@ -31,4 +31,3 @@ def workflow_end(self, name: str, instance: object) -> None: def progress(self, progress: Progress) -> None: """Handle when progress occurs.""" - self.logger.debug("Progress: %s", str(progress)) diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index c2993eb478..05be6c9e1d 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -21,34 +21,15 @@ logger = logging.getLogger(__name__) -def _logger_helper(progress_logger: logging.Logger): - def info(msg: str, verbose: bool = False): - logger.info(msg) - if verbose: - progress_logger.info(msg) - - def error(msg: str, verbose: bool = False): - logger.error(msg) - if verbose: - progress_logger.error(msg) - - def success(msg: str, verbose: bool = False): - logger.info(msg) - if verbose: - progress_logger.info(msg) - - return info, error, success - - -def _register_signal_handlers(progress_logger: logging.Logger): +def _register_signal_handlers(): import signal def handle_signal(signum, _): # Handle the signal here - progress_logger.info(f"Received signal {signum}, exiting...") # noqa: G004 + logger.debug(f"Received signal {signum}, exiting...") # noqa: G004 for task in asyncio.all_tasks(): task.cancel() - progress_logger.info("All tasks cancelled. Exiting...") + logger.debug("All tasks cancelled. Exiting...") # Register signal handlers for SIGINT and SIGHUP signal.signal(signal.SIGINT, handle_signal) @@ -63,7 +44,6 @@ def index_cli( verbose: bool, memprofile: bool, cache: bool, - log_level: str, config_filepath: Path | None, dry_run: bool, skip_validation: bool, @@ -84,7 +64,6 @@ def index_cli( verbose=verbose, memprofile=memprofile, cache=cache, - log_level=log_level, dry_run=dry_run, skip_validation=skip_validation, ) @@ -96,7 +75,6 @@ def update_cli( verbose: bool, memprofile: bool, cache: bool, - log_level: str, config_filepath: Path | None, skip_validation: bool, output_dir: Path | None, @@ -117,7 +95,6 @@ def update_cli( verbose=verbose, memprofile=memprofile, cache=cache, - log_level=log_level, dry_run=False, skip_validation=skip_validation, ) @@ -130,7 +107,6 @@ def _run_index( verbose, memprofile, cache, - log_level, dry_run, skip_validation, ): @@ -141,13 +117,9 @@ def _run_index( init_loggers( config=config, root_dir=str(config.root_dir) if config.root_dir else None, - log_level=log_level, - enable_console=True, + verbose=verbose, ) - progress_logger = logging.getLogger(__name__).getChild("progress") - info, error, success = _logger_helper(progress_logger) - if not cache: config.cache.type = CacheType.none @@ -155,27 +127,27 @@ def _run_index( if config.reporting.type == ReportingType.file: log_dir = Path(config.root_dir or "") / (config.reporting.base_dir or "") log_path = log_dir / "logs.txt" - info(f"Logging enabled at {log_path}", True) + logger.info("Logging enabled at %s", log_path) else: - info( - f"Logging not enabled for config {redact(config.model_dump())}", - True, + logger.info( + "Logging not enabled for config %s", + redact(config.model_dump()), ) if not skip_validation: - validate_config_names(progress_logger, config) + validate_config_names(config) - info(f"Starting pipeline run. {dry_run=}", verbose) - info( - f"Using default configuration: {redact(config.model_dump())}", - verbose, + logger.info("Starting pipeline run. %s", dry_run) + logger.info( + "Using default configuration: %s", + redact(config.model_dump()), ) if dry_run: - info("Dry run complete, exiting...", True) + logger.info("Dry run complete, exiting...", True) sys.exit(0) - _register_signal_handlers(progress_logger) + _register_signal_handlers() outputs = asyncio.run( api.build_index( @@ -190,10 +162,10 @@ def _run_index( ) if encountered_errors: - error( - "Errors occurred during the pipeline run, see logs for more details.", True + logger.error( + "Errors occurred during the pipeline run, see logs for more details." ) else: - success("All workflows completed successfully.", True) + logger.info("All workflows completed successfully.") sys.exit(1 if encountered_errors else 0) diff --git a/graphrag/cli/main.py b/graphrag/cli/main.py index 3741a5af89..a75edd0173 100644 --- a/graphrag/cli/main.py +++ b/graphrag/cli/main.py @@ -156,11 +156,6 @@ def _index_cli( "--memprofile", help="Run the indexing pipeline with memory profiling", ), - log_level: str = typer.Option( - "INFO", - "--log-level", - help="The logging level to use for the root logger.", - ), dry_run: bool = typer.Option( False, "--dry-run", @@ -200,7 +195,6 @@ def _index_cli( verbose=verbose, memprofile=memprofile, cache=cache, - log_level=log_level, config_filepath=config, dry_run=dry_run, skip_validation=skip_validation, @@ -249,11 +243,6 @@ def _update_cli( "--memprofile", help="Run the indexing pipeline with memory profiling.", ), - log_level: str = typer.Option( - "INFO", - "--log-level", - help="The logging level to use for the root logger.", - ), cache: bool = typer.Option( True, "--cache/--no-cache", @@ -289,7 +278,6 @@ def _update_cli( verbose=verbose, memprofile=memprofile, cache=cache, - log_level=log_level, config_filepath=config, skip_validation=skip_validation, output_dir=output, @@ -326,11 +314,6 @@ def _prompt_tune_cli( "-v", help="Run the prompt tuning pipeline with verbose logging.", ), - log_level: str = typer.Option( - "INFO", - "--log-level", - help="The logging level to use for the root logger.", - ), domain: str | None = typer.Option( None, "--domain", @@ -412,7 +395,6 @@ def _prompt_tune_cli( config=config, domain=domain, verbose=verbose, - log_level=log_level, selection_method=selection_method, limit=limit, max_tokens=max_tokens, diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index 7e28ad3d27..130d72c363 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -7,7 +7,6 @@ from pathlib import Path import graphrag.api as api -from graphrag.cli.index import _logger_helper from graphrag.config.enums import ReportingType from graphrag.config.load_config import load_config from graphrag.prompt_tune.generator.community_report_summarization import ( @@ -21,13 +20,14 @@ ) from graphrag.utils.cli import redact +logger = logging.getLogger(__name__) + async def prompt_tune( root: Path, config: Path | None, domain: str | None, verbose: bool, - log_level: str, selection_method: api.DocSelectionType, limit: int, max_tokens: int, @@ -47,8 +47,7 @@ async def prompt_tune( - config: The configuration file. - root: The root directory. - domain: The domain to map the input documents to. - - verbose: Whether to enable verbose logging. - - log_level: The log level to use for the root logger. + - verbose: Enable verbose logging. - selection_method: The chunk selection method. - limit: The limit of chunks to load. - max_tokens: The maximum number of tokens to use on entity extraction prompts. @@ -77,22 +76,18 @@ async def prompt_tune( init_loggers( config=graph_config, root_dir=str(root_path), - log_level=log_level, - enable_console=True, + verbose=verbose, ) - progress_logger = logging.getLogger("graphrag.cli.prompt_tune") - info, error, success = _logger_helper(progress_logger) - # Log the configuration details if graph_config.reporting.type == ReportingType.file: log_dir = Path(root_path) / (graph_config.reporting.base_dir or "") log_path = log_dir / "logs.txt" - info(f"Logging enabled at {log_path}", verbose) + logger.info("Logging enabled at %s", log_path) else: - info( - f"Logging not enabled for config {redact(graph_config.model_dump())}", - verbose, + logger.info( + "Logging not enabled for config %s", + redact(graph_config.model_dump()), ) prompts = await api.generate_indexing_prompts( @@ -113,7 +108,7 @@ async def prompt_tune( output_path = output.resolve() if output_path: - info(f"Writing prompts to {output_path}") + logger.info("Writing prompts to %s", output_path) output_path.mkdir(parents=True, exist_ok=True) extract_graph_prompt_path = output_path / EXTRACT_GRAPH_FILENAME entity_summarization_prompt_path = output_path / ENTITY_SUMMARIZATION_FILENAME @@ -127,6 +122,6 @@ async def prompt_tune( file.write(prompts[1].encode(encoding="utf-8", errors="strict")) with community_summarization_prompt_path.open("wb") as file: file.write(prompts[2].encode(encoding="utf-8", errors="strict")) - success(f"Prompts written to {output_path}") + logger.info("Prompts written to %s", output_path) else: - error("No output path provided. Skipping writing prompts.") + logger.error("No output path provided. Skipping writing prompts.") diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index 3d80ada1d3..cf314f1471 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -64,6 +64,10 @@ def run_global_search( "Running Multi-index Global Search: %s", dataframe_dict["index_names"] ) + logger.debug( + "Executing query: %s", + query if len(query) < 400 else f"{query[:400]}...[truncated]", + ) response, context_data = asyncio.run( api.multi_index_global_search( config=config, @@ -78,7 +82,10 @@ def run_global_search( query=query, ) ) - logger.info("Global Search Response:\n%s", response) + logger.debug( + "Response:\n%s", + response if len(response) < 400 else f"{str(response)[:400]}...[truncated]", + ) # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data diff --git a/graphrag/index/operations/build_noun_graph/build_noun_graph.py b/graphrag/index/operations/build_noun_graph/build_noun_graph.py index 0e45e351ac..1c86859425 100644 --- a/graphrag/index/operations/build_noun_graph/build_noun_graph.py +++ b/graphrag/index/operations/build_noun_graph/build_noun_graph.py @@ -65,6 +65,7 @@ async def extract(row): extract, num_threads=num_threads, async_type=AsyncType.Threaded, + progress_msg="extract noun phrases progress: ", ) noun_node_df = text_unit_df.explode("noun_phrases") diff --git a/graphrag/index/operations/embed_text/embed_text.py b/graphrag/index/operations/embed_text/embed_text.py index be69aa38ac..96e6111e9e 100644 --- a/graphrag/index/operations/embed_text/embed_text.py +++ b/graphrag/index/operations/embed_text/embed_text.py @@ -141,7 +141,14 @@ async def _text_embed_with_vector_store( all_results = [] + num_total_batches = (input.shape[0] + insert_batch_size - 1) // insert_batch_size while insert_batch_size * i < input.shape[0]: + logger.info( + "uploading text embeddings batch %d/%d of size %d to vector store", + i + 1, + num_total_batches, + insert_batch_size, + ) batch = input.iloc[insert_batch_size * i : insert_batch_size * (i + 1)] texts: list[str] = batch[embed_column].to_numpy().tolist() titles: list[str] = batch[title].to_numpy().tolist() diff --git a/graphrag/index/operations/embed_text/strategies/mock.py b/graphrag/index/operations/embed_text/strategies/mock.py index 6aa60ff3ef..a65ad9721f 100644 --- a/graphrag/index/operations/embed_text/strategies/mock.py +++ b/graphrag/index/operations/embed_text/strategies/mock.py @@ -21,7 +21,9 @@ async def run( # noqa RUF029 async is required for interface ) -> TextEmbeddingResult: """Run the Claim extraction chain.""" input = input if isinstance(input, Iterable) else [input] - ticker = progress_ticker(callbacks.progress, len(input)) + ticker = progress_ticker( + callbacks.progress, len(input), description="generate embeddings progress: " + ) return TextEmbeddingResult( embeddings=[_embed_text(cache, text, ticker) for text in input] ) diff --git a/graphrag/index/operations/embed_text/strategies/openai.py b/graphrag/index/operations/embed_text/strategies/openai.py index 7f2eea0c6f..cad7b14255 100644 --- a/graphrag/index/operations/embed_text/strategies/openai.py +++ b/graphrag/index/operations/embed_text/strategies/openai.py @@ -62,7 +62,11 @@ async def run( batch_size, batch_max_tokens, ) - ticker = progress_ticker(callbacks.progress, len(text_batches)) + ticker = progress_ticker( + callbacks.progress, + len(text_batches), + description="generate embeddings progress: ", + ) # Embed each chunk of snippets embeddings = await _execute(model, text_batches, ticker, semaphore) diff --git a/graphrag/index/operations/extract_covariates/extract_covariates.py b/graphrag/index/operations/extract_covariates/extract_covariates.py index 0847cf4930..d29ca61e9d 100644 --- a/graphrag/index/operations/extract_covariates/extract_covariates.py +++ b/graphrag/index/operations/extract_covariates/extract_covariates.py @@ -71,6 +71,7 @@ async def run_strategy(row): callbacks, async_type=async_mode, num_threads=num_threads, + progress_msg="extract covariates progress: ", ) return pd.DataFrame([item for row in results for item in row or []]) diff --git a/graphrag/index/operations/extract_graph/extract_graph.py b/graphrag/index/operations/extract_graph/extract_graph.py index 22d0c42d3e..76bcf40c76 100644 --- a/graphrag/index/operations/extract_graph/extract_graph.py +++ b/graphrag/index/operations/extract_graph/extract_graph.py @@ -66,6 +66,7 @@ async def run_strategy(row): callbacks, async_type=async_mode, num_threads=num_threads, + progress_msg="extract graph progress: ", ) entity_dfs = [] diff --git a/graphrag/index/operations/summarize_communities/summarize_communities.py b/graphrag/index/operations/summarize_communities/summarize_communities.py index af30dd9fcc..92bddfd3ed 100644 --- a/graphrag/index/operations/summarize_communities/summarize_communities.py +++ b/graphrag/index/operations/summarize_communities/summarize_communities.py @@ -64,7 +64,7 @@ async def summarize_communities( ) level_contexts.append(level_context) - for level_context in level_contexts: + for i, level_context in enumerate(level_contexts): async def run_generate(record): result = await _generate_report( @@ -85,6 +85,7 @@ async def run_generate(record): callbacks=NoopWorkflowCallbacks(), num_threads=num_threads, async_type=async_mode, + progress_msg=f"level {levels[i]} summarize communities progress: ", ) reports.extend([lr for lr in local_reports if lr is not None]) diff --git a/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py b/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py index 9370657d9c..780c94b329 100644 --- a/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py +++ b/graphrag/index/operations/summarize_descriptions/summarize_descriptions.py @@ -41,7 +41,11 @@ async def get_summarized( ): ticker_length = len(nodes) + len(edges) - ticker = progress_ticker(callbacks.progress, ticker_length) + ticker = progress_ticker( + callbacks.progress, + ticker_length, + description="Summarize entity/relationship description progress: ", + ) node_futures = [ do_summarize_descriptions( diff --git a/graphrag/index/run/run_pipeline.py b/graphrag/index/run/run_pipeline.py index f5cdb86718..8640915fa1 100644 --- a/graphrag/index/run/run_pipeline.py +++ b/graphrag/index/run/run_pipeline.py @@ -114,21 +114,19 @@ async def _run_pipeline( await _dump_json(context) await write_table_to_storage(dataset, "documents", context.storage) + logger.info("Executing pipeline...") for name, workflow_function in pipeline.run(): last_workflow = name - logger.info("Workflow started: %s", name) context.callbacks.workflow_start(name, None) work_time = time.time() result = await workflow_function(config, context) - logger.info("Workflow completed: %s", name) context.callbacks.workflow_end(name, result) yield PipelineRunResult( workflow=name, result=result.result, state=context.state, errors=None ) - context.stats.workflows[name] = {"overall": time.time() - work_time} - context.stats.total_runtime = time.time() - start_time + logger.info("Indexing pipeline complete.") await _dump_json(context) except Exception as e: diff --git a/graphrag/index/utils/derive_from_rows.py b/graphrag/index/utils/derive_from_rows.py index c920afa05b..663d78c1c8 100644 --- a/graphrag/index/utils/derive_from_rows.py +++ b/graphrag/index/utils/derive_from_rows.py @@ -37,17 +37,18 @@ async def derive_from_rows( callbacks: WorkflowCallbacks | None = None, num_threads: int = 4, async_type: AsyncType = AsyncType.AsyncIO, + progress_msg: str = "", ) -> list[ItemType | None]: """Apply a generic transform function to each row. Any errors will be reported and thrown.""" callbacks = callbacks or NoopWorkflowCallbacks() match async_type: case AsyncType.AsyncIO: return await derive_from_rows_asyncio( - input, transform, callbacks, num_threads + input, transform, callbacks, num_threads, progress_msg ) case AsyncType.Threaded: return await derive_from_rows_asyncio_threads( - input, transform, callbacks, num_threads + input, transform, callbacks, num_threads, progress_msg ) case _: msg = f"Unsupported scheduling type {async_type}" @@ -62,6 +63,7 @@ async def derive_from_rows_asyncio_threads( transform: Callable[[pd.Series], Awaitable[ItemType]], callbacks: WorkflowCallbacks, num_threads: int | None = 4, + progress_msg: str = "", ) -> list[ItemType | None]: """ Derive from rows asynchronously. @@ -81,7 +83,9 @@ async def execute_task(task: Coroutine) -> ItemType | None: return await asyncio.gather(*[execute_task(task) for task in tasks]) - return await _derive_from_rows_base(input, transform, callbacks, gather) + return await _derive_from_rows_base( + input, transform, callbacks, gather, progress_msg + ) """A module containing the derive_from_rows_async method.""" @@ -92,6 +96,7 @@ async def derive_from_rows_asyncio( transform: Callable[[pd.Series], Awaitable[ItemType]], callbacks: WorkflowCallbacks, num_threads: int = 4, + progress_msg: str = "", ) -> list[ItemType | None]: """ Derive from rows asynchronously. @@ -112,7 +117,9 @@ async def execute_row_protected( ] return await asyncio.gather(*tasks) - return await _derive_from_rows_base(input, transform, callbacks, gather) + return await _derive_from_rows_base( + input, transform, callbacks, gather, progress_msg + ) ItemType = TypeVar("ItemType") @@ -126,13 +133,16 @@ async def _derive_from_rows_base( transform: Callable[[pd.Series], Awaitable[ItemType]], callbacks: WorkflowCallbacks, gather: GatherFn[ItemType], + progress_msg: str = "", ) -> list[ItemType | None]: """ Derive from rows asynchronously. This is useful for IO bound operations. """ - tick = progress_ticker(callbacks.progress, num_total=len(input)) + tick = progress_ticker( + callbacks.progress, num_total=len(input), description=progress_msg + ) errors: list[tuple[BaseException, str]] = [] async def execute(row: tuple[Any, pd.Series]) -> ItemType | None: diff --git a/graphrag/index/validate_config.py b/graphrag/index/validate_config.py index 2c1dfa5a0a..cf9fbec4aa 100644 --- a/graphrag/index/validate_config.py +++ b/graphrag/index/validate_config.py @@ -11,8 +11,10 @@ from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.language_model.manager import ModelManager +logger = logging.getLogger(__name__) -def validate_config_names(logger: logging.Logger, parameters: GraphRagConfig) -> None: + +def validate_config_names(parameters: GraphRagConfig) -> None: """Validate config file for LLM deployment name typos.""" # Validate Chat LLM configs # TODO: Replace default_chat_model with a way to select the model diff --git a/graphrag/index/workflows/create_base_text_units.py b/graphrag/index/workflows/create_base_text_units.py index 67c6567a65..626e0da28a 100644 --- a/graphrag/index/workflows/create_base_text_units.py +++ b/graphrag/index/workflows/create_base_text_units.py @@ -28,6 +28,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to transform base text_units.""" + logger.info("Workflow started: create_base_text_units") documents = await load_table_from_storage("documents", context.storage) chunks = config.chunks @@ -46,6 +47,7 @@ async def run_workflow( await write_table_to_storage(output, "text_units", context.storage) + logger.info("Workflow completed: create_base_text_units") return WorkflowFunctionOutput(result=output) @@ -84,7 +86,7 @@ def create_base_text_units( ) aggregated.rename(columns={"text_with_ids": "texts"}, inplace=True) - def chunker(row: dict[str, Any]) -> Any: + def chunker(row: pd.Series) -> Any: line_delimiter = ".\n" metadata_str = "" metadata_tokens = 0 @@ -130,16 +132,17 @@ def chunker(row: dict[str, Any]) -> Any: # Track progress of row-wise apply operation total_rows = len(aggregated) - logger.info("Starting chunking process for %d rows", total_rows) - - def chunker_with_logging(row: pd.Series) -> Any: + logger.info("Starting chunking process for %d documents", total_rows) + + def chunker_with_logging(row: pd.Series, row_index: int) -> Any: """Add logging to chunker execution.""" - row_index = row.name # pandas Series.name contains the index - result = chunker(row.to_dict()) - logger.info("Completed chunking for row %d/%d", row_index + 1, total_rows) + result = chunker(row) + logger.info("chunker progress: %d/%d", row_index + 1, total_rows) return result - - aggregated = aggregated.apply(chunker_with_logging, axis=1) + + aggregated = aggregated.apply( + lambda row: chunker_with_logging(row, row.name), axis=1 + ) aggregated = cast("pd.DataFrame", aggregated[[*group_by_columns, "chunks"]]) aggregated = aggregated.explode("chunks") diff --git a/graphrag/index/workflows/create_communities.py b/graphrag/index/workflows/create_communities.py index b19eb18113..5eff206009 100644 --- a/graphrag/index/workflows/create_communities.py +++ b/graphrag/index/workflows/create_communities.py @@ -3,6 +3,7 @@ """A module containing run_workflow method definition.""" +import logging from datetime import datetime, timezone from typing import cast from uuid import uuid4 @@ -18,12 +19,15 @@ from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to transform final communities.""" + logger.info("Workflow started: create_communities") entities = await load_table_from_storage("entities", context.storage) relationships = await load_table_from_storage("relationships", context.storage) @@ -41,6 +45,7 @@ async def run_workflow( await write_table_to_storage(output, "communities", context.storage) + logger.info("Workflow completed: create_communities") return WorkflowFunctionOutput(result=output) diff --git a/graphrag/index/workflows/create_community_reports.py b/graphrag/index/workflows/create_community_reports.py index 6f20639cc0..2712d74b5a 100644 --- a/graphrag/index/workflows/create_community_reports.py +++ b/graphrag/index/workflows/create_community_reports.py @@ -3,6 +3,8 @@ """A module containing run_workflow method definition.""" +import logging + import pandas as pd import graphrag.data_model.schemas as schemas @@ -32,12 +34,15 @@ write_table_to_storage, ) +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to transform community reports.""" + logger.info("Workflow started: create_community_reports") edges = await load_table_from_storage("relationships", context.storage) entities = await load_table_from_storage("entities", context.storage) communities = await load_table_from_storage("communities", context.storage) @@ -70,6 +75,7 @@ async def run_workflow( await write_table_to_storage(output, "community_reports", context.storage) + logger.info("Workflow completed: create_community_reports") return WorkflowFunctionOutput(result=output) diff --git a/graphrag/index/workflows/create_community_reports_text.py b/graphrag/index/workflows/create_community_reports_text.py index 8b76e8a080..c375e03c50 100644 --- a/graphrag/index/workflows/create_community_reports_text.py +++ b/graphrag/index/workflows/create_community_reports_text.py @@ -37,6 +37,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to transform community reports.""" + logger.info("Workflow started: create_community_reports_text") entities = await load_table_from_storage("entities", context.storage) communities = await load_table_from_storage("communities", context.storage) @@ -64,6 +65,7 @@ async def run_workflow( await write_table_to_storage(output, "community_reports", context.storage) + logger.info("Workflow completed: create_community_reports_text") return WorkflowFunctionOutput(result=output) diff --git a/graphrag/index/workflows/create_final_documents.py b/graphrag/index/workflows/create_final_documents.py index 16ab453275..5c93f51c94 100644 --- a/graphrag/index/workflows/create_final_documents.py +++ b/graphrag/index/workflows/create_final_documents.py @@ -3,6 +3,8 @@ """A module containing run_workflow method definition.""" +import logging + import pandas as pd from graphrag.config.models.graph_rag_config import GraphRagConfig @@ -11,12 +13,15 @@ from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +logger = logging.getLogger(__name__) + async def run_workflow( _config: GraphRagConfig, context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to transform final documents.""" + logger.info("Workflow started: create_final_documents") documents = await load_table_from_storage("documents", context.storage) text_units = await load_table_from_storage("text_units", context.storage) @@ -24,6 +29,7 @@ async def run_workflow( await write_table_to_storage(output, "documents", context.storage) + logger.info("Workflow completed: create_final_documents") return WorkflowFunctionOutput(result=output) diff --git a/graphrag/index/workflows/create_final_text_units.py b/graphrag/index/workflows/create_final_text_units.py index e28fd1cea0..e784c30faa 100644 --- a/graphrag/index/workflows/create_final_text_units.py +++ b/graphrag/index/workflows/create_final_text_units.py @@ -3,6 +3,8 @@ """A module containing run_workflow method definition.""" +import logging + import pandas as pd from graphrag.config.models.graph_rag_config import GraphRagConfig @@ -15,12 +17,15 @@ write_table_to_storage, ) +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to transform the text units.""" + logger.info("Workflow started: create_final_text_units") text_units = await load_table_from_storage("text_units", context.storage) final_entities = await load_table_from_storage("entities", context.storage) final_relationships = await load_table_from_storage( @@ -41,6 +46,7 @@ async def run_workflow( await write_table_to_storage(output, "text_units", context.storage) + logger.info("Workflow completed: create_final_text_units") return WorkflowFunctionOutput(result=output) diff --git a/graphrag/index/workflows/extract_covariates.py b/graphrag/index/workflows/extract_covariates.py index b4124301b8..5ba21be4c6 100644 --- a/graphrag/index/workflows/extract_covariates.py +++ b/graphrag/index/workflows/extract_covariates.py @@ -3,6 +3,7 @@ """A module containing run_workflow method definition.""" +import logging from typing import Any from uuid import uuid4 @@ -20,12 +21,15 @@ from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to extract and format covariates.""" + logger.info("Workflow started: extract_covariates") text_units = await load_table_from_storage("text_units", context.storage) extract_claims_llm_settings = config.get_language_model_config( @@ -51,6 +55,7 @@ async def run_workflow( await write_table_to_storage(output, "covariates", context.storage) + logger.info("Workflow completed: extract_covariates") return WorkflowFunctionOutput(result=output) diff --git a/graphrag/index/workflows/extract_graph.py b/graphrag/index/workflows/extract_graph.py index ff49b37320..f96d6700b5 100644 --- a/graphrag/index/workflows/extract_graph.py +++ b/graphrag/index/workflows/extract_graph.py @@ -30,6 +30,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to create the base entity graph.""" + logger.info("Workflow started: extract_graph") text_units = await load_table_from_storage("text_units", context.storage) extract_graph_llm_settings = config.get_language_model_config( @@ -67,6 +68,7 @@ async def run_workflow( raw_relationships, "raw_relationships", context.storage ) + logger.info("Workflow completed: extract_graph") return WorkflowFunctionOutput( result={ "entities": entities, diff --git a/graphrag/index/workflows/extract_graph_nlp.py b/graphrag/index/workflows/extract_graph_nlp.py index 397c00f788..12a63525da 100644 --- a/graphrag/index/workflows/extract_graph_nlp.py +++ b/graphrag/index/workflows/extract_graph_nlp.py @@ -3,6 +3,8 @@ """A module containing run_workflow method definition.""" +import logging + import pandas as pd from graphrag.cache.pipeline_cache import PipelineCache @@ -16,12 +18,15 @@ from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to create the base entity graph.""" + logger.info("Workflow started: extract_graph_nlp") text_units = await load_table_from_storage("text_units", context.storage) entities, relationships = await extract_graph_nlp( @@ -33,6 +38,8 @@ async def run_workflow( await write_table_to_storage(entities, "entities", context.storage) await write_table_to_storage(relationships, "relationships", context.storage) + logger.info("Workflow completed: extract_graph_nlp") + return WorkflowFunctionOutput( result={ "entities": entities, diff --git a/graphrag/index/workflows/factory.py b/graphrag/index/workflows/factory.py index c73e64b66d..dca46263d7 100644 --- a/graphrag/index/workflows/factory.py +++ b/graphrag/index/workflows/factory.py @@ -3,6 +3,7 @@ """Encapsulates pipeline construction and selection.""" +import logging from typing import ClassVar from graphrag.config.enums import IndexingMethod @@ -10,6 +11,8 @@ from graphrag.index.typing.pipeline import Pipeline from graphrag.index.typing.workflow import WorkflowFunction +logger = logging.getLogger(__name__) + class PipelineFactory: """A factory class for workflow pipelines.""" @@ -36,6 +39,7 @@ def create_pipeline( ) -> Pipeline: """Create a pipeline generator.""" workflows = _get_workflows_list(config, method, is_update_run) + logger.info("Creating pipeline with workflows: %s", workflows) return Pipeline([(name, cls.workflows[name]) for name in workflows]) diff --git a/graphrag/index/workflows/finalize_graph.py b/graphrag/index/workflows/finalize_graph.py index 6da0ff50de..de1322dc4d 100644 --- a/graphrag/index/workflows/finalize_graph.py +++ b/graphrag/index/workflows/finalize_graph.py @@ -3,6 +3,8 @@ """A module containing run_workflow method definition.""" +import logging + import pandas as pd from graphrag.config.models.embed_graph_config import EmbedGraphConfig @@ -15,12 +17,15 @@ from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to create the base entity graph.""" + logger.info("Workflow started: finalize_graph") entities = await load_table_from_storage("entities", context.storage) relationships = await load_table_from_storage("relationships", context.storage) @@ -44,6 +49,7 @@ async def run_workflow( storage=context.storage, ) + logger.info("Workflow completed: finalize_graph") return WorkflowFunctionOutput( result={ "entities": entities, diff --git a/graphrag/index/workflows/generate_text_embeddings.py b/graphrag/index/workflows/generate_text_embeddings.py index ead40be19c..f3130d4042 100644 --- a/graphrag/index/workflows/generate_text_embeddings.py +++ b/graphrag/index/workflows/generate_text_embeddings.py @@ -38,6 +38,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to transform community reports.""" + logger.info("Workflow started: generate_text_embeddings") documents = None relationships = None text_units = None @@ -79,6 +80,7 @@ async def run_workflow( context.storage, ) + logger.info("Workflow completed: generate_text_embeddings") return WorkflowFunctionOutput(result=output) diff --git a/graphrag/index/workflows/prune_graph.py b/graphrag/index/workflows/prune_graph.py index c4abad7ea3..0eac818a67 100644 --- a/graphrag/index/workflows/prune_graph.py +++ b/graphrag/index/workflows/prune_graph.py @@ -3,6 +3,8 @@ """A module containing run_workflow method definition.""" +import logging + import pandas as pd from graphrag.config.models.graph_rag_config import GraphRagConfig @@ -14,12 +16,15 @@ from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.utils.storage import load_table_from_storage, write_table_to_storage +logger = logging.getLogger(__name__) + async def run_workflow( config: GraphRagConfig, context: PipelineRunContext, ) -> WorkflowFunctionOutput: """All the steps to create the base entity graph.""" + logger.info("Workflow started: prune_graph") entities = await load_table_from_storage("entities", context.storage) relationships = await load_table_from_storage("relationships", context.storage) @@ -32,6 +37,7 @@ async def run_workflow( await write_table_to_storage(pruned_entities, "entities", context.storage) await write_table_to_storage(pruned_relationships, "relationships", context.storage) + logger.info("Workflow completed: prune_graph") return WorkflowFunctionOutput( result={ "entities": pruned_entities, diff --git a/graphrag/index/workflows/update_clean_state.py b/graphrag/index/workflows/update_clean_state.py index 7739595a41..3803be47dc 100644 --- a/graphrag/index/workflows/update_clean_state.py +++ b/graphrag/index/workflows/update_clean_state.py @@ -17,7 +17,7 @@ async def run_workflow( # noqa: RUF029 context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Clean the state after the update.""" - logger.info("Cleaning State") + logger.info("Workflow started: update_clean_state") keys_to_delete = [ key_name for key_name in context.state @@ -27,4 +27,5 @@ async def run_workflow( # noqa: RUF029 for key_name in keys_to_delete: del context.state[key_name] + logger.info("Workflow completed: update_clean_state") return WorkflowFunctionOutput(result=None) diff --git a/graphrag/index/workflows/update_communities.py b/graphrag/index/workflows/update_communities.py index 14c8826b75..b7e3e6a343 100644 --- a/graphrag/index/workflows/update_communities.py +++ b/graphrag/index/workflows/update_communities.py @@ -21,7 +21,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Update the communities from a incremental index run.""" - logger.info("Updating Communities") + logger.info("Workflow started: update_communities") output_storage, previous_storage, delta_storage = get_update_storages( config, context.state["update_timestamp"] ) @@ -32,6 +32,7 @@ async def run_workflow( context.state["incremental_update_community_id_mapping"] = community_id_mapping + logger.info("Workflow completed: update_communities") return WorkflowFunctionOutput(result=None) diff --git a/graphrag/index/workflows/update_community_reports.py b/graphrag/index/workflows/update_community_reports.py index 2dc0feb3a2..42576aca27 100644 --- a/graphrag/index/workflows/update_community_reports.py +++ b/graphrag/index/workflows/update_community_reports.py @@ -23,7 +23,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Update the community reports from a incremental index run.""" - logger.info("Updating Community Reports") + logger.info("Workflow started: update_community_reports") output_storage, previous_storage, delta_storage = get_update_storages( config, context.state["update_timestamp"] ) @@ -38,6 +38,7 @@ async def run_workflow( merged_community_reports ) + logger.info("Workflow completed: update_community_reports") return WorkflowFunctionOutput(result=None) diff --git a/graphrag/index/workflows/update_covariates.py b/graphrag/index/workflows/update_covariates.py index 1239de144a..f0bf29a6ae 100644 --- a/graphrag/index/workflows/update_covariates.py +++ b/graphrag/index/workflows/update_covariates.py @@ -27,6 +27,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Update the covariates from a incremental index run.""" + logger.info("Workflow started: update_covariates") output_storage, previous_storage, delta_storage = get_update_storages( config, context.state["update_timestamp"] ) @@ -37,6 +38,7 @@ async def run_workflow( logger.info("Updating Covariates") await _update_covariates(previous_storage, delta_storage, output_storage) + logger.info("Workflow completed: update_covariates") return WorkflowFunctionOutput(result=None) diff --git a/graphrag/index/workflows/update_entities_relationships.py b/graphrag/index/workflows/update_entities_relationships.py index 0702d62776..cd8ad82553 100644 --- a/graphrag/index/workflows/update_entities_relationships.py +++ b/graphrag/index/workflows/update_entities_relationships.py @@ -27,7 +27,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Update the entities and relationships from a incremental index run.""" - logger.info("Updating Entities and Relationships") + logger.info("Workflow started: update_entities_relationships") output_storage, previous_storage, delta_storage = get_update_storages( config, context.state["update_timestamp"] ) @@ -49,6 +49,7 @@ async def run_workflow( context.state["incremental_update_merged_relationships"] = merged_relationships_df context.state["incremental_update_entity_id_mapping"] = entity_id_mapping + logger.info("Workflow completed: update_entities_relationships") return WorkflowFunctionOutput(result=None) diff --git a/graphrag/index/workflows/update_final_documents.py b/graphrag/index/workflows/update_final_documents.py index 485cb7b10f..b684beba94 100644 --- a/graphrag/index/workflows/update_final_documents.py +++ b/graphrag/index/workflows/update_final_documents.py @@ -19,7 +19,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Update the documents from a incremental index run.""" - logger.info("Updating Documents") + logger.info("Workflow started: update_final_documents") output_storage, previous_storage, delta_storage = get_update_storages( config, context.state["update_timestamp"] ) @@ -30,4 +30,5 @@ async def run_workflow( context.state["incremental_update_final_documents"] = final_documents + logger.info("Workflow completed: update_final_documents") return WorkflowFunctionOutput(result=None) diff --git a/graphrag/index/workflows/update_text_embeddings.py b/graphrag/index/workflows/update_text_embeddings.py index ed57de86d1..11bce16d3e 100644 --- a/graphrag/index/workflows/update_text_embeddings.py +++ b/graphrag/index/workflows/update_text_embeddings.py @@ -21,7 +21,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Update the text embeddings from a incremental index run.""" - logger.info("Updating Text Embeddings") + logger.info("Workflow started: update_text_embeddings") output_storage, _, _ = get_update_storages( config, context.state["update_timestamp"] ) @@ -55,4 +55,5 @@ async def run_workflow( output_storage, ) + logger.info("Workflow completed: update_text_embeddings") return WorkflowFunctionOutput(result=None) diff --git a/graphrag/index/workflows/update_text_units.py b/graphrag/index/workflows/update_text_units.py index 4b26b47b07..392533f16b 100644 --- a/graphrag/index/workflows/update_text_units.py +++ b/graphrag/index/workflows/update_text_units.py @@ -23,7 +23,7 @@ async def run_workflow( context: PipelineRunContext, ) -> WorkflowFunctionOutput: """Update the text units from a incremental index run.""" - logger.info("Updating Text Units") + logger.info("Workflow started: update_text_units") output_storage, previous_storage, delta_storage = get_update_storages( config, context.state["update_timestamp"] ) @@ -35,6 +35,7 @@ async def run_workflow( context.state["incremental_update_merged_text_units"] = merged_text_units + logger.info("Workflow completed: update_text_units") return WorkflowFunctionOutput(result=None) diff --git a/graphrag/logger/progress.py b/graphrag/logger/progress.py index 3b91877939..7006cab6ea 100644 --- a/graphrag/logger/progress.py +++ b/graphrag/logger/progress.py @@ -37,11 +37,15 @@ class ProgressTicker: """A class that emits progress reports incrementally.""" _callback: ProgressHandler | None + _description: str _num_total: int _num_complete: int - def __init__(self, callback: ProgressHandler | None, num_total: int): + def __init__( + self, callback: ProgressHandler | None, num_total: int, description: str = "" + ): self._callback = callback + self._description = description self._num_total = num_total self._num_complete = 0 @@ -50,34 +54,46 @@ def __call__(self, num_ticks: int = 1) -> None: self._num_complete += num_ticks if self._callback is not None: p = Progress( - total_items=self._num_total, completed_items=self._num_complete + total_items=self._num_total, + completed_items=self._num_complete, + description=self._description, ) - logger.info("Progress: %s/%s", str(p.completed_items), str(p.total_items)) + if p.description: + logger.info( + "%s%s/%s", p.description, str(p.completed_items), str(p.total_items) + ) self._callback(p) def done(self) -> None: """Mark the progress as done.""" if self._callback is not None: self._callback( - Progress(total_items=self._num_total, completed_items=self._num_total) + Progress( + total_items=self._num_total, + completed_items=self._num_total, + description=self._description, + ) ) -def progress_ticker(callback: ProgressHandler | None, num_total: int) -> ProgressTicker: +def progress_ticker( + callback: ProgressHandler | None, num_total: int, description: str = "" +) -> ProgressTicker: """Create a progress ticker.""" - return ProgressTicker(callback, num_total) + return ProgressTicker(callback, num_total, description=description) def progress_iterable( iterable: Iterable[T], progress: ProgressHandler | None, num_total: int | None = None, + description: str = "", ) -> Iterable[T]: """Wrap an iterable with a progress handler. Every time an item is yielded, the progress handler will be called with the current progress.""" if num_total is None: num_total = len(list(iterable)) - tick = ProgressTicker(progress, num_total) + tick = ProgressTicker(progress, num_total, description=description) for item in iterable: tick(1) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 246728c60e..289ef2d174 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -9,7 +9,7 @@ Usage: # Configuration should be done once at the start of your application: from graphrag.logger.standard_logging import init_loggers - init_loggers(log_level="INFO", log_file="/path/to/app.log") + init_loggers(log_file="/path/to/app.log") # Then throughout your code: import logging @@ -33,7 +33,6 @@ """ import logging -import sys from pathlib import Path from graphrag.config.enums import ReportingType @@ -44,8 +43,7 @@ def init_loggers( config: GraphRagConfig | None = None, root_dir: str | None = None, - log_level: int | str = logging.INFO, - enable_console: bool = False, + verbose: bool = False, log_file: str | Path | None = None, log_format: str = "%(asctime)s.%(msecs)04d - %(levelname)s - %(name)s - %(message)s", date_format: str = "%Y-%m-%d %H:%M:%S", @@ -61,10 +59,8 @@ def init_loggers( The GraphRAG configuration. If None, defaults to file-based reporting. root_dir : str | None, default=None The root directory for file-based logging. - log_level : Union[int, str], default=logging.INFO - The logging level to use. Can be a string or integer. - enable_console : bool, default=False - Whether to add a console handler. Should be True only when called from CLI. + verbose : bool, default=False + Whether to enable verbose (DEBUG) logging. log_file : Optional[Union[str, Path]], default=None Path to a specific log file. If provided, takes precedence over config. log_format : str, default="%(asctime)s - %(levelname)s - %(name)s - %(message)s" @@ -91,9 +87,7 @@ def init_loggers( # Default to file-based logging if no config provided (maintains backward compatibility) reporting_config = ReportingConfig(base_dir="logs", type=ReportingType.file) - # Convert string log level to numeric value if needed - if isinstance(log_level, str): - log_level = getattr(logging, log_level.upper(), logging.INFO) + log_level = logging.DEBUG if verbose else logging.INFO # Get the root logger for graphrag logger = logging.getLogger("graphrag") @@ -110,13 +104,12 @@ def init_loggers( # Create formatter with custom format formatter = logging.Formatter(fmt=log_format, datefmt=date_format) - # Add console handler if requested (typically for CLI usage) - if enable_console: - console_handler = logging.StreamHandler(sys.stdout) - console_handler.setFormatter(formatter) - logger.addHandler(console_handler) + # Always add console handler + console_handler = logging.StreamHandler() + console_handler.setFormatter(formatter) + logger.addHandler(console_handler) - # Add handlers based on configuration + # Add more handlers based on configuration handler: logging.Handler match reporting_config.type: case ReportingType.file: @@ -133,12 +126,6 @@ def init_loggers( handler = logging.FileHandler(str(log_file_path), mode="a") handler.setFormatter(formatter) logger.addHandler(handler) - case ReportingType.console: - # Only add console handler if not already added - if not enable_console: - handler = logging.StreamHandler() - handler.setFormatter(formatter) - logger.addHandler(handler) case ReportingType.blob: handler = BlobWorkflowLogger( reporting_config.connection_string, diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 6e7910132f..9e7ad9374b 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -65,7 +65,7 @@ def test_logger_hierarchy(): def test_init_loggers_console_enabled(): """Test that init_loggers works with console enabled.""" # Call init_loggers with console enabled (CLI mode) - init_loggers(enable_console=True, log_level="INFO") + init_loggers(enable_console=True) logger = logging.getLogger("graphrag") @@ -88,7 +88,7 @@ def test_init_loggers_default_config(): """Test that init_loggers uses default file config when none provided.""" with tempfile.TemporaryDirectory() as temp_dir: # Call init_loggers with no config (should default to file logging) - init_loggers(root_dir=temp_dir, log_level="INFO") + init_loggers(root_dir=temp_dir) logger = logging.getLogger("graphrag") @@ -124,7 +124,7 @@ def test_init_loggers_file_config(): config.reporting = ReportingConfig(type=ReportingType.file, base_dir="logs") # Call init_loggers with file config - init_loggers(config=config, root_dir=temp_dir, log_level="INFO") + init_loggers(config=config, root_dir=temp_dir) logger = logging.getLogger("graphrag") @@ -159,7 +159,7 @@ def test_init_loggers_console_config(): config.reporting = ReportingConfig(type=ReportingType.console) # Call init_loggers with console config but no enable_console - init_loggers(config=config, log_level="INFO", enable_console=False) + init_loggers(config=config, enable_console=False) logger = logging.getLogger("graphrag") @@ -179,7 +179,7 @@ def test_init_loggers_both_console(): config.reporting = ReportingConfig(type=ReportingType.console) # Call init_loggers with both console config and enable_console=True - init_loggers(config=config, log_level="INFO", enable_console=True) + init_loggers(config=config, enable_console=True) logger = logging.getLogger("graphrag") From aee81c441aa362a876f86998578dc6ce4208482e Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Thu, 5 Jun 2025 18:33:37 -0400 Subject: [PATCH 66/88] update --- graphrag/cli/index.py | 2 +- tests/unit/logger/test_standard_logging.py | 11 +++++------ 2 files changed, 6 insertions(+), 7 deletions(-) diff --git a/graphrag/cli/index.py b/graphrag/cli/index.py index 05be6c9e1d..b388c314bd 100644 --- a/graphrag/cli/index.py +++ b/graphrag/cli/index.py @@ -113,7 +113,7 @@ def _run_index( # Configure the root logger with the specified log level from graphrag.logger.standard_logging import init_loggers - # Initialize loggers with console output enabled (CLI usage) and reporting config + # Initialize loggers and reporting config init_loggers( config=config, root_dir=str(config.root_dir) if config.root_dir else None, diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index 9e7ad9374b..a5bb2afca5 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -64,8 +64,7 @@ def test_logger_hierarchy(): def test_init_loggers_console_enabled(): """Test that init_loggers works with console enabled.""" - # Call init_loggers with console enabled (CLI mode) - init_loggers(enable_console=True) + init_loggers() logger = logging.getLogger("graphrag") @@ -158,8 +157,8 @@ def test_init_loggers_console_config(): config = get_default_graphrag_config() config.reporting = ReportingConfig(type=ReportingType.console) - # Call init_loggers with console config but no enable_console - init_loggers(config=config, enable_console=False) + # Call init_loggers with config + init_loggers(config=config) logger = logging.getLogger("graphrag") @@ -178,8 +177,8 @@ def test_init_loggers_both_console(): config = get_default_graphrag_config() config.reporting = ReportingConfig(type=ReportingType.console) - # Call init_loggers with both console config and enable_console=True - init_loggers(config=config, enable_console=True) + # Call init_loggers with config + init_loggers(config=config) logger = logging.getLogger("graphrag") From 04227ab9332d50325e6cc675ff441e4c4c6d379b Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Thu, 5 Jun 2025 18:52:55 -0400 Subject: [PATCH 67/88] more cleanup of old loggers --- graphrag/index/input/csv.py | 3 +-- graphrag/index/input/factory.py | 6 ++--- graphrag/index/input/json.py | 3 +-- graphrag/index/input/text.py | 3 +-- graphrag/index/input/util.py | 2 -- graphrag/index/run/run_pipeline.py | 2 +- graphrag/prompt_tune/loader/input.py | 2 +- graphrag/storage/blob_pipeline_storage.py | 22 +++++-------------- graphrag/storage/cosmosdb_pipeline_storage.py | 21 +++++++++--------- graphrag/storage/file_pipeline_storage.py | 22 +++++-------------- graphrag/storage/pipeline_storage.py | 2 -- .../storage/test_file_pipeline_storage.py | 1 - 12 files changed, 29 insertions(+), 60 deletions(-) diff --git a/graphrag/index/input/csv.py b/graphrag/index/input/csv.py index dcffb49c97..59ec7191fb 100644 --- a/graphrag/index/input/csv.py +++ b/graphrag/index/input/csv.py @@ -17,7 +17,6 @@ async def load_csv( config: InputConfig, - progress: logging.Logger | None, storage: PipelineStorage, ) -> pd.DataFrame: """Load csv inputs from a directory.""" @@ -41,4 +40,4 @@ async def load_file(path: str, group: dict | None) -> pd.DataFrame: return data - return await load_files(load_file, config, storage, progress) + return await load_files(load_file, config, storage) diff --git a/graphrag/index/input/factory.py b/graphrag/index/input/factory.py index 3f82cac612..f0ba7c82ef 100644 --- a/graphrag/index/input/factory.py +++ b/graphrag/index/input/factory.py @@ -28,13 +28,11 @@ async def create_input( config: InputConfig, - progress_reporter: logging.Logger | None = None, root_dir: str | None = None, ) -> pd.DataFrame: """Instantiate input data for a pipeline.""" root_dir = root_dir or "" logger.info("loading input from root_dir=%s", config.base_dir) - progress_reporter = progress_reporter or logger match config.type: case InputType.blob: @@ -66,9 +64,9 @@ async def create_input( ) if config.file_type in loaders: - progress_reporter.info(f"Loading Input ({config.file_type})") + logger.info("Loading Input %s", config.file_type) loader = loaders[config.file_type] - result = await loader(config, progress_reporter, storage) + result = await loader(config, storage) # Convert metadata columns to strings and collapse them into a JSON object if config.metadata: if all(col in result.columns for col in config.metadata): diff --git a/graphrag/index/input/json.py b/graphrag/index/input/json.py index de5952af4a..15408f3b7a 100644 --- a/graphrag/index/input/json.py +++ b/graphrag/index/input/json.py @@ -17,7 +17,6 @@ async def load_json( config: InputConfig, - progress: logging.Logger | None, storage: PipelineStorage, ) -> pd.DataFrame: """Load json inputs from a directory.""" @@ -45,4 +44,4 @@ async def load_file(path: str, group: dict | None) -> pd.DataFrame: return data - return await load_files(load_file, config, storage, progress) + return await load_files(load_file, config, storage) diff --git a/graphrag/index/input/text.py b/graphrag/index/input/text.py index 2469ffe67c..1834a532eb 100644 --- a/graphrag/index/input/text.py +++ b/graphrag/index/input/text.py @@ -18,7 +18,6 @@ async def load_text( config: InputConfig, - progress: logging.Logger | None, storage: PipelineStorage, ) -> pd.DataFrame: """Load text inputs from a directory.""" @@ -33,4 +32,4 @@ async def load_file(path: str, group: dict | None = None) -> pd.DataFrame: new_item["creation_date"] = await storage.get_creation_date(path) return pd.DataFrame([new_item]) - return await load_files(load_file, config, storage, progress) + return await load_files(load_file, config, storage) diff --git a/graphrag/index/input/util.py b/graphrag/index/input/util.py index 277844ee56..b067a1c333 100644 --- a/graphrag/index/input/util.py +++ b/graphrag/index/input/util.py @@ -20,13 +20,11 @@ async def load_files( loader: Any, config: InputConfig, storage: PipelineStorage, - progress: logging.Logger | None, ) -> pd.DataFrame: """Load files from storage and apply a loader function.""" files = list( storage.find( re.compile(config.file_pattern), - progress=progress, file_filter=config.file_filter, ) ) diff --git a/graphrag/index/run/run_pipeline.py b/graphrag/index/run/run_pipeline.py index 8640915fa1..9425c3fb26 100644 --- a/graphrag/index/run/run_pipeline.py +++ b/graphrag/index/run/run_pipeline.py @@ -39,7 +39,7 @@ async def run_pipeline( storage = create_storage_from_config(config.output) cache = create_cache_from_config(config.cache, root_dir) - dataset = await create_input(config.input, None, root_dir) + dataset = await create_input(config.input, root_dir) # load existing state in case any workflows are stateful state_json = await storage.get("context.json") diff --git a/graphrag/prompt_tune/loader/input.py b/graphrag/prompt_tune/loader/input.py index e6e9508301..2d08c971c4 100644 --- a/graphrag/prompt_tune/loader/input.py +++ b/graphrag/prompt_tune/loader/input.py @@ -52,7 +52,7 @@ async def load_docs_in_chunks( embeddings_llm_settings = config.get_language_model_config( config.embed_text.model_id ) - dataset = await create_input(config.input, logger, root) + dataset = await create_input(config.input, root) chunk_config = config.chunks chunks_df = create_base_text_units( documents=dataset, diff --git a/graphrag/storage/blob_pipeline_storage.py b/graphrag/storage/blob_pipeline_storage.py index 618aa02104..c6463b9e2a 100644 --- a/graphrag/storage/blob_pipeline_storage.py +++ b/graphrag/storage/blob_pipeline_storage.py @@ -12,7 +12,6 @@ from azure.identity import DefaultAzureCredential from azure.storage.blob import BlobServiceClient -from graphrag.logger.progress import Progress from graphrag.storage.pipeline_storage import ( PipelineStorage, get_timestamp_formatted_with_local_tz, @@ -97,7 +96,6 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: logging.Logger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: @@ -158,10 +156,12 @@ def item_filter(item: dict[str, Any]) -> bool: num_filtered += 1 else: num_filtered += 1 - if progress is not None: - progress.debug( - f"Blobs loaded: {num_loaded}, filtered: {num_filtered}, total: {num_total}" - ) + logger.debug( + "Blobs loaded: %d, filtered: %d, total: %d", + num_loaded, + num_filtered, + num_total, + ) except Exception: logger.exception( "Error finding blobs: base_dir=%s, file_pattern=%s, file_filter=%s", @@ -380,13 +380,3 @@ def validate_blob_container_name(container_name: str): ) return True - - -def _create_progress_status( - num_loaded: int, num_filtered: int, num_total: int -) -> Progress: - return Progress( - total_items=num_total, - completed_items=num_loaded + num_filtered, - description=f"{num_loaded} files loaded ({num_filtered} filtered)", - ) diff --git a/graphrag/storage/cosmosdb_pipeline_storage.py b/graphrag/storage/cosmosdb_pipeline_storage.py index 83367ecbd4..f41d8ab146 100644 --- a/graphrag/storage/cosmosdb_pipeline_storage.py +++ b/graphrag/storage/cosmosdb_pipeline_storage.py @@ -116,7 +116,6 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: logging.Logger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: @@ -183,16 +182,16 @@ def item_filter(item: dict[str, Any]) -> bool: num_filtered += 1 else: num_filtered += 1 - if progress is not None: - progress_status = _create_progress_status( - num_loaded, num_filtered, num_total - ) - progress.info( - "Progress: %s (%d/%d completed)", - progress_status.description, - progress_status.completed_items, - progress_status.total_items, - ) + + progress_status = _create_progress_status( + num_loaded, num_filtered, num_total + ) + logger.debug( + "Progress: %s (%d/%d completed)", + progress_status.description, + progress_status.completed_items, + progress_status.total_items, + ) except Exception: logger.exception( "An error occurred while searching for documents in Cosmos DB." diff --git a/graphrag/storage/file_pipeline_storage.py b/graphrag/storage/file_pipeline_storage.py index 37e5de41ec..d1ba479495 100644 --- a/graphrag/storage/file_pipeline_storage.py +++ b/graphrag/storage/file_pipeline_storage.py @@ -16,7 +16,6 @@ from aiofiles.os import remove from aiofiles.ospath import exists -from graphrag.logger.progress import Progress from graphrag.storage.pipeline_storage import ( PipelineStorage, get_timestamp_formatted_with_local_tz, @@ -41,7 +40,6 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: logging.Logger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: @@ -78,10 +76,12 @@ def item_filter(item: dict[str, Any]) -> bool: num_filtered += 1 else: num_filtered += 1 - if progress is not None: - progress.debug( - f"Files loaded: {num_loaded}, filtered: {num_filtered}, total: {num_total}" - ) + logger.debug( + "Files loaded: %d, filtered: %d, total: %d", + num_loaded, + num_filtered, + num_total, + ) async def get( self, key: str, as_bytes: bool | None = False, encoding: str | None = None @@ -174,13 +174,3 @@ def create_file_storage(**kwargs: Any) -> PipelineStorage: base_dir = kwargs["base_dir"] logger.info("Creating file storage at %s", base_dir) return FilePipelineStorage(root_dir=base_dir) - - -def _create_progress_status( - num_loaded: int, num_filtered: int, num_total: int -) -> Progress: - return Progress( - total_items=num_total, - completed_items=num_loaded + num_filtered, - description=f"{num_loaded} files loaded ({num_filtered} filtered)", - ) diff --git a/graphrag/storage/pipeline_storage.py b/graphrag/storage/pipeline_storage.py index 46b4255ebf..ed117a577d 100644 --- a/graphrag/storage/pipeline_storage.py +++ b/graphrag/storage/pipeline_storage.py @@ -3,7 +3,6 @@ """A module containing 'PipelineStorage' model.""" -import logging import re from abc import ABCMeta, abstractmethod from collections.abc import Iterator @@ -19,7 +18,6 @@ def find( self, file_pattern: re.Pattern[str], base_dir: str | None = None, - progress: logging.Logger | None = None, file_filter: dict[str, Any] | None = None, max_count=-1, ) -> Iterator[tuple[str, dict[str, Any]]]: diff --git a/tests/integration/storage/test_file_pipeline_storage.py b/tests/integration/storage/test_file_pipeline_storage.py index 034df98609..be58476480 100644 --- a/tests/integration/storage/test_file_pipeline_storage.py +++ b/tests/integration/storage/test_file_pipeline_storage.py @@ -20,7 +20,6 @@ async def test_find(): storage.find( base_dir="tests/fixtures/text/input", file_pattern=re.compile(r".*\.txt$"), - progress=None, file_filter=None, ) ) From e4607baa80f06ef9a614814040fc823662b47bba Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Thu, 5 Jun 2025 18:57:51 -0400 Subject: [PATCH 68/88] small logger cleanup --- graphrag/cli/initialize.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/graphrag/cli/initialize.py b/graphrag/cli/initialize.py index 8eab4271e1..09215f8c5d 100644 --- a/graphrag/cli/initialize.py +++ b/graphrag/cli/initialize.py @@ -31,6 +31,8 @@ from graphrag.prompts.query.local_search_system_prompt import LOCAL_SEARCH_SYSTEM_PROMPT from graphrag.prompts.query.question_gen_system_prompt import QUESTION_SYSTEM_PROMPT +logger = logging.getLogger(__name__) + def initialize_project_at(path: Path, force: bool) -> None: """ @@ -48,8 +50,7 @@ def initialize_project_at(path: Path, force: bool) -> None: ValueError If the project already exists and force is False. """ - progress_logger = logging.getLogger("graphrag.cli.initialize") - progress_logger.info(f"Initializing project at {path}") # noqa: G004 + logger.info("Initializing project at %s", path) root = Path(path) if not root.exists(): root.mkdir(parents=True, exist_ok=True) From a8307132a435faa17083e48cf059b79aeadef1c4 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 6 Jun 2025 07:56:39 -0400 Subject: [PATCH 69/88] final code cleanup and added loggers to query --- docs/config/env_vars.md | 4 +- docs/config/yaml.md | 4 +- graphrag/__init__.py | 3 + graphrag/api/index.py | 6 +- graphrag/api/prompt_tune.py | 3 + graphrag/api/query.py | 98 +++++++++---------- graphrag/cli/prompt_tune.py | 8 +- graphrag/config/defaults.py | 4 +- graphrag/config/enums.py | 2 - graphrag/logger/blob_workflow_logger.py | 2 +- graphrag/logger/progress.py | 2 +- graphrag/logger/standard_logging.py | 63 ++++++++---- .../context_builder/community_context.py | 2 +- .../dynamic_community_selection.py | 4 +- .../query/context_builder/rate_relevancy.py | 2 +- graphrag/query/llm/text_utils.py | 2 +- graphrag/query/question_gen/local_gen.py | 4 +- .../basic_search/basic_context.py | 2 +- .../structured_search/basic_search/search.py | 4 +- .../structured_search/drift_search/primer.py | 2 +- .../structured_search/drift_search/search.py | 2 +- .../structured_search/global_search/search.py | 2 +- .../local_search/mixed_context.py | 4 +- .../structured_search/local_search/search.py | 4 +- tests/unit/logger/test_standard_logging.py | 52 +++++----- 25 files changed, 152 insertions(+), 133 deletions(-) diff --git a/docs/config/env_vars.md b/docs/config/env_vars.md index 26617cf79e..9b4bac63bd 100644 --- a/docs/config/env_vars.md +++ b/docs/config/env_vars.md @@ -178,11 +178,11 @@ This section controls the cache mechanism used by the pipeline. This is used to ### Reporting -This section controls the reporting mechanism used by the pipeline, for common events and error messages. The default is to write reports to a file in the output directory. However, you can also choose to write reports to the console or to an Azure Blob Storage container. +This section controls the reporting mechanism used by the pipeline, for common events and error messages. The default is to write reports to a file in the output directory. However, you can also choose to write reports to an Azure Blob Storage container. | Parameter | Description | Type | Required or Optional | Default | | --------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ------- | -| `GRAPHRAG_REPORTING_TYPE` | The type of reporter to use. Options are `file`, `console`, or `blob` | `str` | optional | `file` | +| `GRAPHRAG_REPORTING_TYPE` | The type of reporter to use. Options are `file` or `blob` | `str` | optional | `file` | | `GRAPHRAG_REPORTING_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://.blob.core.windows.net` | `str` | optional | None | | `GRAPHRAG_REPORTING_CONNECTION_STRING` | The Azure Storage connection string to use when in `blob` mode. | `str` | optional | None | | `GRAPHRAG_REPORTING_CONTAINER_NAME` | The Azure Storage container name to use when in `blob` mode. | `str` | optional | None | diff --git a/docs/config/yaml.md b/docs/config/yaml.md index 6e578b19a0..6caf045018 100644 --- a/docs/config/yaml.md +++ b/docs/config/yaml.md @@ -147,11 +147,11 @@ This section controls the cache mechanism used by the pipeline. This is used to ### reporting -This section controls the reporting mechanism used by the pipeline, for common events and error messages. The default is to write reports to a file in the output directory. However, you can also choose to write reports to the console or to an Azure Blob Storage container. +This section controls the reporting mechanism used by the pipeline, for common events and error messages. The default is to write reports to a file in the output directory. However, you can also choose to write reports to an Azure Blob Storage container. #### Fields -- `type` **file|console|blob** - The reporting type to use. Default=`file` +- `type` **file|blob** - The reporting type to use. Default=`file` - `base_dir` **str** - The base directory to write reports to, relative to the root. - `connection_string` **str** - (blob only) The Azure Storage connection string. - `container_name` **str** - (blob only) The Azure Storage container name. diff --git a/graphrag/__init__.py b/graphrag/__init__.py index 8600b50f2a..4dd61db0f6 100644 --- a/graphrag/__init__.py +++ b/graphrag/__init__.py @@ -5,4 +5,7 @@ import logging +from graphrag.logger.standard_logging import init_console_logger + logger = logging.getLogger(__name__) +init_console_logger() diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 6deb62ec13..a6f5f1bdf1 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -18,6 +18,7 @@ from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.index.typing.workflow import WorkflowFunction from graphrag.index.workflows.factory import PipelineFactory +from graphrag.logger.standard_logging import init_loggers logger = logging.getLogger(__name__) @@ -47,10 +48,7 @@ async def build_index( list[PipelineRunResult] The list of pipeline run results """ - # Register pipeline logger with the graphrag logger - from graphrag.logger.standard_logging import init_loggers - - init_loggers(config=config, root_dir=None) + init_loggers(config=config) # Create a no-op workflow callbacks for pipeline lifecycle events workflow_callbacks = NoopWorkflowCallbacks() diff --git a/graphrag/api/prompt_tune.py b/graphrag/api/prompt_tune.py index ef10208dba..c58c85a807 100644 --- a/graphrag/api/prompt_tune.py +++ b/graphrag/api/prompt_tune.py @@ -21,6 +21,7 @@ from graphrag.config.defaults import graphrag_config_defaults from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.language_model.manager import ModelManager +from graphrag.logger.standard_logging import init_loggers from graphrag.prompt_tune.defaults import MAX_TOKEN_COUNT, PROMPT_TUNING_MODEL_ID from graphrag.prompt_tune.generator.community_report_rating import ( generate_community_report_rating, @@ -90,6 +91,8 @@ async def generate_indexing_prompts( ------- tuple[str, str, str]: entity extraction prompt, entity summarization prompt, community summarization prompt """ + init_loggers(config=config) + # Retrieve documents logger.info("Chunking documents...") doc_list = await load_docs_in_chunks( diff --git a/graphrag/api/query.py b/graphrag/api/query.py index 1fabb1c441..dde505b895 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -32,6 +32,7 @@ text_unit_text_embedding, ) from graphrag.config.models.graph_rag_config import GraphRagConfig +from graphrag.logger.standard_logging import init_loggers from graphrag.query.factory import ( get_basic_search_engine, get_drift_search_engine, @@ -89,11 +90,9 @@ async def global_search( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers(config=config) + callbacks = callbacks or [] full_response = "" context_data = {} @@ -106,6 +105,7 @@ def on_context(context: Any) -> None: local_callbacks.on_context = on_context callbacks.append(local_callbacks) + logger.debug("Executing global search query: %s", query) async for chunk in global_search_streaming( config=config, entities=entities, @@ -118,6 +118,7 @@ def on_context(context: Any) -> None: callbacks=callbacks, ): full_response += chunk + logger.debug("Query response: %s", full_response) return full_response, context_data @@ -151,11 +152,9 @@ def global_search_streaming( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers(config=config) + communities_ = read_indexer_communities(communities, community_reports) reports = read_indexer_reports( community_reports, @@ -174,6 +173,7 @@ def global_search_streaming( config.root_dir, config.global_search.knowledge_prompt ) + logger.debug("Executing streaming global search query: %s", query) search_engine = get_global_search_engine( config, reports=reports, @@ -224,11 +224,9 @@ async def multi_index_global_search( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers(config=config) + # Streaming not supported yet if streaming: message = "Streaming not yet implemented for multi_global_search" @@ -312,6 +310,7 @@ async def multi_index_global_search( communities_dfs, axis=0, ignore_index=True, sort=False ) + logger.debug("Executing multi-index global search query: %s", query) result = await global_search( config, entities=entities_combined, @@ -327,6 +326,7 @@ async def multi_index_global_search( # Update the context data by linking index names and community ids context = update_context_data(result[1], links) + logger.debug("Query response: %s", result[0]) return (result[0], context) @@ -363,11 +363,9 @@ async def local_search( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers(config=config) + callbacks = callbacks or [] full_response = "" context_data = {} @@ -380,6 +378,7 @@ def on_context(context: Any) -> None: local_callbacks.on_context = on_context callbacks.append(local_callbacks) + logger.debug("Executing local search query: %s", query) async for chunk in local_search_streaming( config=config, entities=entities, @@ -394,6 +393,7 @@ def on_context(context: Any) -> None: callbacks=callbacks, ): full_response += chunk + logger.debug("Query response: %s", full_response) return full_response, context_data @@ -428,16 +428,14 @@ def local_search_streaming( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers(config=config) + vector_store_args = {} for index, store in config.vector_store.items(): vector_store_args[index] = store.model_dump() msg = f"Vector Store Args: {redact(vector_store_args)}" - logger.info(msg) + logger.debug(msg) description_embedding_store = get_embedding_store( config_args=vector_store_args, @@ -448,6 +446,7 @@ def local_search_streaming( covariates_ = read_indexer_covariates(covariates) if covariates is not None else [] prompt = load_search_prompt(config.root_dir, config.local_search.prompt) + logger.debug("Executing streaming local search query: %s", query) search_engine = get_local_search_engine( config=config, reports=read_indexer_reports(community_reports, communities, community_level), @@ -501,11 +500,9 @@ async def multi_index_local_search( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers(config=config) + # Streaming not supported yet if streaming: message = "Streaming not yet implemented for multi_index_local_search" @@ -671,6 +668,7 @@ async def multi_index_local_search( covariates_combined = pd.concat( covariates_dfs, axis=0, ignore_index=True, sort=False ) + logger.debug("Executing multi-index local search query: %s", query) result = await local_search( config, entities=entities_combined, @@ -688,6 +686,7 @@ async def multi_index_local_search( # Update the context data by linking index names and community ids context = update_context_data(result[1], links) + logger.debug("Query response: %s", result[0]) return (result[0], context) @@ -722,11 +721,9 @@ async def drift_search( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers(config=config) + callbacks = callbacks or [] full_response = "" context_data = {} @@ -739,6 +736,7 @@ def on_context(context: Any) -> None: local_callbacks.on_context = on_context callbacks.append(local_callbacks) + logger.debug("Executing drift search query: %s", query) async for chunk in drift_search_streaming( config=config, entities=entities, @@ -752,6 +750,7 @@ def on_context(context: Any) -> None: callbacks=callbacks, ): full_response += chunk + logger.debug("Query response: %s", full_response) return full_response, context_data @@ -783,16 +782,14 @@ def drift_search_streaming( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers() + vector_store_args = {} for index, store in config.vector_store.items(): vector_store_args[index] = store.model_dump() msg = f"Vector Store Args: {redact(vector_store_args)}" - logger.info(msg) + logger.debug(msg) description_embedding_store = get_embedding_store( config_args=vector_store_args, @@ -812,6 +809,7 @@ def drift_search_streaming( config.root_dir, config.drift_search.reduce_prompt ) + logger.debug("Executing streaming drift search query: %s", query) search_engine = get_drift_search_engine( config=config, reports=reports, @@ -863,11 +861,9 @@ async def multi_index_drift_search( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers() + # Streaming not supported yet if streaming: message = "Streaming not yet implemented for multi_drift_search" @@ -1010,6 +1006,7 @@ async def multi_index_drift_search( text_units_dfs, axis=0, ignore_index=True, sort=False ) + logger.debug("Executing multi-index drift search query: %s", query) result = await drift_search( config, entities=entities_combined, @@ -1030,6 +1027,7 @@ async def multi_index_drift_search( context[key] = update_context_data(result[1][key], links) else: context = result[1] + logger.debug("Query response: %s", result[0]) return (result[0], context) @@ -1054,11 +1052,9 @@ async def basic_search( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers() + callbacks = callbacks or [] full_response = "" context_data = {} @@ -1071,6 +1067,7 @@ def on_context(context: Any) -> None: local_callbacks.on_context = on_context callbacks.append(local_callbacks) + logger.debug("Executing basic search query: %s", query) async for chunk in basic_search_streaming( config=config, text_units=text_units, @@ -1078,6 +1075,7 @@ def on_context(context: Any) -> None: callbacks=callbacks, ): full_response += chunk + logger.debug("Query response: %s", full_response) return full_response, context_data @@ -1099,16 +1097,14 @@ def basic_search_streaming( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers() + vector_store_args = {} for index, store in config.vector_store.items(): vector_store_args[index] = store.model_dump() msg = f"Vector Store Args: {redact(vector_store_args)}" - logger.info(msg) + logger.debug(msg) description_embedding_store = get_embedding_store( config_args=vector_store_args, @@ -1117,6 +1113,7 @@ def basic_search_streaming( prompt = load_search_prompt(config.root_dir, config.basic_search.prompt) + logger.debug("Executing streaming basic search query: %s", query) search_engine = get_basic_search_engine( config=config, text_units=read_indexer_text_units(text_units), @@ -1152,11 +1149,9 @@ async def multi_index_basic_search( Returns ------- TODO: Document the search response type and format. - - Raises - ------ - TODO: Document any exceptions to expect. """ + init_loggers() + # Streaming not supported yet if streaming: message = "Streaming not yet implemented for multi_basic_search" @@ -1193,6 +1188,7 @@ async def multi_index_basic_search( text_units_dfs, axis=0, ignore_index=True, sort=False ) + logger.debug("Executing multi-index basic search query: %s", query) return await basic_search( config, text_units=text_units_combined, diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index 130d72c363..5092197ae0 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -69,17 +69,17 @@ async def prompt_tune( if overlap != graph_config.chunks.overlap: graph_config.chunks.overlap = overlap - # Configure the root logger with the specified log level + # configure the root logger with the specified log level from graphrag.logger.standard_logging import init_loggers - # Initialize loggers with console output enabled (CLI usage) and reporting config + # initialize loggers with config init_loggers( config=graph_config, root_dir=str(root_path), verbose=verbose, ) - # Log the configuration details + # log the configuration details if graph_config.reporting.type == ReportingType.file: log_dir = Path(root_path) / (graph_config.reporting.base_dir or "") log_path = log_dir / "logs.txt" @@ -115,7 +115,7 @@ async def prompt_tune( community_summarization_prompt_path = ( output_path / COMMUNITY_SUMMARIZATION_FILENAME ) - # Write files to output path + # write files to output path with extract_graph_prompt_path.open("wb") as file: file.write(prompts[0].encode(encoding="utf-8", errors="strict")) with entity_summarization_prompt_path.open("wb") as file: diff --git a/graphrag/config/defaults.py b/graphrag/config/defaults.py index f93670fe37..9dcd042d05 100644 --- a/graphrag/config/defaults.py +++ b/graphrag/config/defaults.py @@ -120,8 +120,8 @@ class DriftSearchDefaults: local_search_temperature: float = 0 local_search_top_p: float = 1 local_search_n: int = 1 - local_search_llm_max_gen_tokens: ClassVar[None] = None - local_search_llm_max_gen_completion_tokens: ClassVar[None] = None + local_search_llm_max_gen_tokens: int | None = None + local_search_llm_max_gen_completion_tokens: int | None = None chat_model_id: str = DEFAULT_CHAT_MODEL_ID embedding_model_id: str = DEFAULT_EMBEDDING_MODEL_ID diff --git a/graphrag/config/enums.py b/graphrag/config/enums.py index f3efdbd246..8e2f34e0df 100644 --- a/graphrag/config/enums.py +++ b/graphrag/config/enums.py @@ -77,8 +77,6 @@ class ReportingType(str, Enum): file = "file" """The file reporting configuration type.""" - console = "console" - """The console reporting configuration type.""" blob = "blob" """The blob reporting configuration type.""" diff --git a/graphrag/logger/blob_workflow_logger.py b/graphrag/logger/blob_workflow_logger.py index c66ddc536b..ae4893c6e8 100644 --- a/graphrag/logger/blob_workflow_logger.py +++ b/graphrag/logger/blob_workflow_logger.py @@ -69,7 +69,7 @@ def __init__( self._num_blocks = 0 # refresh block counter - def emit(self, record): + def emit(self, record) -> None: """Emit a log record to blob storage.""" try: # Create JSON structure based on record diff --git a/graphrag/logger/progress.py b/graphrag/logger/progress.py index 7006cab6ea..e96f93555e 100644 --- a/graphrag/logger/progress.py +++ b/graphrag/logger/progress.py @@ -1,7 +1,7 @@ # Copyright (c) 2024 Microsoft Corporation. # Licensed under the MIT License -"""Progress reporting types.""" +"""Progress Logging Utilities.""" import logging from collections.abc import Callable, Iterable diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 289ef2d174..d706b4863c 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -33,20 +33,22 @@ """ import logging +import sys from pathlib import Path from graphrag.config.enums import ReportingType from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.config.models.reporting_config import ReportingConfig +LOG_FORMAT = "%(asctime)s.%(msecs)04d - %(levelname)s - %(name)s - %(message)s" +DATE_FORMAT = "%Y-%m-%d %H:%M:%S" + def init_loggers( config: GraphRagConfig | None = None, root_dir: str | None = None, verbose: bool = False, log_file: str | Path | None = None, - log_format: str = "%(asctime)s.%(msecs)04d - %(levelname)s - %(name)s - %(message)s", - date_format: str = "%Y-%m-%d %H:%M:%S", ) -> None: """Initialize logging handlers for graphrag based on configuration. @@ -68,32 +70,30 @@ def init_loggers( date_format : str, default="%Y-%m-%d %H:%M:%S" The format for dates in the log messages. """ - # Import BlobWorkflowLogger here to avoid circular imports + # import BlobWorkflowLogger here to avoid circular imports from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger - # Extract reporting config from GraphRagConfig if provided + # extract reporting config from GraphRagConfig if provided reporting_config: ReportingConfig if log_file: - # If log_file is provided directly, override config to use file-based logging + # if log_file is provided directly, override config to use file-based logging log_path = Path(log_file) reporting_config = ReportingConfig( type=ReportingType.file, base_dir=str(log_path.parent), ) elif config is not None: - # Use the reporting configuration from GraphRagConfig + # use the reporting configuration from GraphRagConfig reporting_config = config.reporting else: - # Default to file-based logging if no config provided (maintains backward compatibility) + # default to file-based logging if no config provided reporting_config = ReportingConfig(base_dir="logs", type=ReportingType.file) - log_level = logging.DEBUG if verbose else logging.INFO - - # Get the root logger for graphrag logger = logging.getLogger("graphrag") + log_level = logging.DEBUG if verbose else logging.INFO logger.setLevel(log_level) - # Clear any existing handlers to avoid duplicate logs + # clear any existing handlers to avoid duplicate logs if logger.hasHandlers(): # Close file handlers properly before removing them for handler in logger.handlers: @@ -101,25 +101,22 @@ def init_loggers( handler.close() logger.handlers.clear() - # Create formatter with custom format - formatter = logging.Formatter(fmt=log_format, datefmt=date_format) + # create formatter with custom format + formatter = logging.Formatter(fmt=LOG_FORMAT, datefmt=DATE_FORMAT) - # Always add console handler - console_handler = logging.StreamHandler() - console_handler.setFormatter(formatter) - logger.addHandler(console_handler) + init_console_logger(verbose) - # Add more handlers based on configuration + # add more handlers based on configuration handler: logging.Handler match reporting_config.type: case ReportingType.file: if log_file: - # Use the specific log file provided + # use the specific log file provided log_file_path = Path(log_file) log_file_path.parent.mkdir(parents=True, exist_ok=True) handler = logging.FileHandler(str(log_file_path), mode="a") else: - # Use the config-based file path + # use the config-based file path log_dir = Path(root_dir or "") / (reporting_config.base_dir or "") log_dir.mkdir(parents=True, exist_ok=True) log_file_path = log_dir / "logs.txt" @@ -134,6 +131,30 @@ def init_loggers( storage_account_blob_url=reporting_config.storage_account_blob_url, ) logger.addHandler(handler) + case _: + logger.error("Unknown reporting type '%s'.", reporting_config.type) - # Prevent propagation to root logger to avoid duplicate logging + # prevent propagation to root logger to avoid duplicate logging logger.propagate = False + + +def init_console_logger(verbose: bool = False) -> None: + """Initialize a console logger if not already present. + + This function sets up a logger that outputs log messages to STDOUT. + + Parameters + ---------- + verbose : bool, default=False + Whether to enable verbose (DEBUG) logging. + """ + logger = logging.getLogger("graphrag") + logger.setLevel(logging.DEBUG if verbose else logging.INFO) + has_console_handler = any( + isinstance(h, logging.StreamHandler) for h in logger.handlers + ) + if not has_console_handler: + console_handler = logging.StreamHandler(sys.stdout) + formatter = logging.Formatter(fmt=LOG_FORMAT, datefmt=DATE_FORMAT) + console_handler.setFormatter(formatter) + logger.addHandler(console_handler) diff --git a/graphrag/query/context_builder/community_context.py b/graphrag/query/context_builder/community_context.py index 368fe633bd..b527bd019b 100644 --- a/graphrag/query/context_builder/community_context.py +++ b/graphrag/query/context_builder/community_context.py @@ -88,7 +88,7 @@ def _report_context_text( ) ) if compute_community_weights: - logger.info("Computing community weights...") + logger.debug("Computing community weights...") community_reports = _compute_community_weights( community_reports=community_reports, entities=entities, diff --git a/graphrag/query/context_builder/dynamic_community_selection.py b/graphrag/query/context_builder/dynamic_community_selection.py index 5f15257f3d..2763c64760 100644 --- a/graphrag/query/context_builder/dynamic_community_selection.py +++ b/graphrag/query/context_builder/dynamic_community_selection.py @@ -142,7 +142,7 @@ async def select(self, query: str) -> tuple[list[CommunityReport], dict[str, Any and (str(level) in self.levels) and (level <= self.max_level) ): - logger.info( + logger.debug( "dynamic community selection: no relevant community " "reports, adding all reports at level %s to rate.", level, @@ -155,7 +155,7 @@ async def select(self, query: str) -> tuple[list[CommunityReport], dict[str, Any ] end = time() - logger.info( + logger.debug( "dynamic community selection (took: %ss)\n" "\trating distribution %s\n" "\t%s out of %s community reports are relevant\n" diff --git a/graphrag/query/context_builder/rate_relevancy.py b/graphrag/query/context_builder/rate_relevancy.py index 44cd7fee2f..2e03559b8c 100644 --- a/graphrag/query/context_builder/rate_relevancy.py +++ b/graphrag/query/context_builder/rate_relevancy.py @@ -60,7 +60,7 @@ async def rate_relevancy( except KeyError: # in case of json parsing error, default to rating 1 so the report is kept. # json parsing error should rarely happen. - logger.info("Error parsing json response, defaulting to rating 1") + logger.warning("Error parsing json response, defaulting to rating 1") ratings.append(1) llm_calls += 1 prompt_tokens += num_tokens(messages[0]["content"], token_encoder) diff --git a/graphrag/query/llm/text_utils.py b/graphrag/query/llm/text_utils.py index 1fda8d6ece..8fbef6be44 100644 --- a/graphrag/query/llm/text_utils.py +++ b/graphrag/query/llm/text_utils.py @@ -60,7 +60,7 @@ def try_parse_json_object(input: str, verbose: bool = True) -> tuple[str, dict]: result = json.loads(input) except json.JSONDecodeError: if verbose: - logger.info("Warning: Error decoding faulty json, attempting repair") + logger.warning("Error decoding faulty json, attempting repair") if result: return input, result diff --git a/graphrag/query/question_gen/local_gen.py b/graphrag/query/question_gen/local_gen.py index fcdf1d6e15..a5f2ef3aba 100644 --- a/graphrag/query/question_gen/local_gen.py +++ b/graphrag/query/question_gen/local_gen.py @@ -88,7 +88,7 @@ async def agenerate( context_records = result.context_records else: context_records = {"context_data": context_data} - logger.info( + logger.debug( "GENERATE QUESTION: %s. LAST QUESTION: %s", start_time, question_text ) system_prompt = "" @@ -170,7 +170,7 @@ async def generate( context_records = result.context_records else: context_records = {"context_data": context_data} - logger.info( + logger.debug( "GENERATE QUESTION: %s. QUESTION HISTORY: %s", start_time, question_text ) system_prompt = "" diff --git a/graphrag/query/structured_search/basic_search/basic_context.py b/graphrag/query/structured_search/basic_search/basic_context.py index 7dbf14ff8e..cf15256e33 100644 --- a/graphrag/query/structured_search/basic_search/basic_context.py +++ b/graphrag/query/structured_search/basic_search/basic_context.py @@ -84,7 +84,7 @@ def build_context( tokens = num_tokens(text, self.token_encoder) if current_tokens + tokens > max_context_tokens: msg = f"Reached token limit: {current_tokens + tokens}. Reverting to previous context state" - logger.info(msg) + logger.warning(msg) break current_tokens += tokens diff --git a/graphrag/query/structured_search/basic_search/search.py b/graphrag/query/structured_search/basic_search/search.py index ed919891af..644e66ea02 100644 --- a/graphrag/query/structured_search/basic_search/search.py +++ b/graphrag/query/structured_search/basic_search/search.py @@ -73,7 +73,7 @@ async def search( prompt_tokens["build_context"] = context_result.prompt_tokens output_tokens["build_context"] = context_result.output_tokens - logger.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + logger.debug("GENERATE ANSWER: %s. QUERY: %s", start_time, query) try: search_prompt = self.system_prompt.format( context_data=context_result.context_chunks, @@ -141,7 +141,7 @@ async def stream_search( conversation_history=conversation_history, **self.context_builder_params, ) - logger.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + logger.debug("GENERATE ANSWER: %s. QUERY: %s", start_time, query) search_prompt = self.system_prompt.format( context_data=context_result.context_chunks, response_type=self.response_type ) diff --git a/graphrag/query/structured_search/drift_search/primer.py b/graphrag/query/structured_search/drift_search/primer.py index 6a7d745f7b..58dc148ace 100644 --- a/graphrag/query/structured_search/drift_search/primer.py +++ b/graphrag/query/structured_search/drift_search/primer.py @@ -94,7 +94,7 @@ async def __call__(self, query: str) -> tuple[list[float], dict[str, int]]: tuple[list[float], int]: List of embeddings for the expanded query and the token count. """ hyde_query, token_ct = await self.expand_query(query) - logger.info("Expanded query: %s", hyde_query) + logger.debug("Expanded query: %s", hyde_query) return self.text_embedder.embed(hyde_query), token_ct diff --git a/graphrag/query/structured_search/drift_search/search.py b/graphrag/query/structured_search/drift_search/search.py index a55403435d..98b6bce75d 100644 --- a/graphrag/query/structured_search/drift_search/search.py +++ b/graphrag/query/structured_search/drift_search/search.py @@ -233,7 +233,7 @@ async def search( while epochs < self.context_builder.config.n_depth: actions = self.query_state.rank_incomplete_actions() if len(actions) == 0: - logger.info("No more actions to take. Exiting DRIFT loop.") + logger.debug("No more actions to take. Exiting DRIFT loop.") break actions = actions[: self.context_builder.config.drift_k_followups] llm_call_offset += ( diff --git a/graphrag/query/structured_search/global_search/search.py b/graphrag/query/structured_search/global_search/search.py index beb59304ca..960fd0a50a 100644 --- a/graphrag/query/structured_search/global_search/search.py +++ b/graphrag/query/structured_search/global_search/search.py @@ -231,7 +231,7 @@ async def _map_response_single_batch( json=True, ) search_response = model_response.output.content - logger.info("Map response: %s", search_response) + logger.debug("Map response: %s", search_response) try: # parse search response json processed_response = self._parse_search_response(search_response) diff --git a/graphrag/query/structured_search/local_search/mixed_context.py b/graphrag/query/structured_search/local_search/mixed_context.py index 62708d37a6..fd9d495903 100644 --- a/graphrag/query/structured_search/local_search/mixed_context.py +++ b/graphrag/query/structured_search/local_search/mixed_context.py @@ -446,7 +446,9 @@ def _build_local_context( current_context_data[covariate.lower()] = covariate_context_data if total_tokens > max_context_tokens: - logger.info("Reached token limit - reverting to previous context state") + logger.warning( + "Reached token limit - reverting to previous context state" + ) break final_context = current_context diff --git a/graphrag/query/structured_search/local_search/search.py b/graphrag/query/structured_search/local_search/search.py index 74eccc0314..8ff9013125 100644 --- a/graphrag/query/structured_search/local_search/search.py +++ b/graphrag/query/structured_search/local_search/search.py @@ -70,7 +70,7 @@ async def search( prompt_tokens["build_context"] = context_result.prompt_tokens output_tokens["build_context"] = context_result.output_tokens - logger.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + logger.debug("GENERATE ANSWER: %s. QUERY: %s", start_time, query) try: if "drift_query" in kwargs: drift_query = kwargs["drift_query"] @@ -144,7 +144,7 @@ async def stream_search( conversation_history=conversation_history, **self.context_builder_params, ) - logger.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query) + logger.debug("GENERATE ANSWER: %s. QUERY: %s", start_time, query) search_prompt = self.system_prompt.format( context_data=context_result.context_chunks, response_type=self.response_type ) diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index a5bb2afca5..b493b77c8d 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -24,21 +24,21 @@ def test_file_logging(): with tempfile.TemporaryDirectory() as temp_dir: log_file = Path(temp_dir) / "test.log" - # Configure logging to file using init_loggers + # configure logging to file using init_loggers init_loggers(log_file=log_file) - # Get a logger and log some messages + # get a logger and log some messages logger = logging.getLogger("graphrag.test") test_message = "Test file logging message" logger.info(test_message) - # Check that the log file exists and contains our message + # check that the log file exists and contains our message assert log_file.exists() with open(log_file) as f: content = f.read() assert test_message in content - # Close all file handlers to ensure proper cleanup on Windows + # close all file handlers to ensure proper cleanup on Windows graphrag_logger = logging.getLogger("graphrag") for handler in graphrag_logger.handlers[:]: if isinstance(handler, logging.FileHandler): @@ -48,27 +48,27 @@ def test_file_logging(): def test_logger_hierarchy(): """Test that logger hierarchy works correctly.""" - # Reset logging to default state using init_loggers + # reset logging to default state using init_loggers init_loggers() root_logger = logging.getLogger("graphrag") child_logger = logging.getLogger("graphrag.child") - # Setting level on root should affect children + # setting level on root should affect children root_logger.setLevel(logging.ERROR) assert child_logger.getEffectiveLevel() == logging.ERROR - # Clean up after test + # clean up after test root_logger.handlers.clear() def test_init_loggers_console_enabled(): - """Test that init_loggers works with console enabled.""" + """Test that init_loggers works with console handler.""" init_loggers() logger = logging.getLogger("graphrag") - # Should have both a console handler and a file handler (default config) + # should have both a console handler and a file handler (default config) console_handlers = [ h for h in logger.handlers if isinstance(h, logging.StreamHandler) ] @@ -76,7 +76,7 @@ def test_init_loggers_console_enabled(): assert len(console_handlers) > 0 assert len(file_handlers) > 0 # Due to default file config - # Clean up + # clean up for handler in logger.handlers[:]: if isinstance(handler, logging.FileHandler): handler.close() @@ -86,7 +86,7 @@ def test_init_loggers_console_enabled(): def test_init_loggers_default_config(): """Test that init_loggers uses default file config when none provided.""" with tempfile.TemporaryDirectory() as temp_dir: - # Call init_loggers with no config (should default to file logging) + # call init_loggers with no config (should default to file logging) init_loggers(root_dir=temp_dir) logger = logging.getLogger("graphrag") @@ -97,11 +97,11 @@ def test_init_loggers_default_config(): ] assert len(file_handlers) > 0 - # Test logging works + # test that logging works test_message = "Test default config message" logger.info(test_message) - # Check that the log file was created with default structure + # check that the log file was created with default structure log_file = Path(temp_dir) / "logs" / "logs.txt" assert log_file.exists() @@ -109,7 +109,7 @@ def test_init_loggers_default_config(): content = f.read() assert test_message in content - # Clean up + # clean up for handler in logger.handlers[:]: if isinstance(handler, logging.FileHandler): handler.close() @@ -122,22 +122,22 @@ def test_init_loggers_file_config(): config = get_default_graphrag_config(root_dir=temp_dir) config.reporting = ReportingConfig(type=ReportingType.file, base_dir="logs") - # Call init_loggers with file config + # call init_loggers with file config init_loggers(config=config, root_dir=temp_dir) logger = logging.getLogger("graphrag") - # Should have a file handler + # should have a file handler file_handlers = [ h for h in logger.handlers if isinstance(h, logging.FileHandler) ] assert len(file_handlers) > 0 - # Test logging works + # test that logging works test_message = "Test init_loggers file message" logger.info(test_message) - # Check that the log file was created + # check that the log file was created log_file = Path(temp_dir) / "logs" / "logs.txt" assert log_file.exists() @@ -145,7 +145,7 @@ def test_init_loggers_file_config(): content = f.read() assert test_message in content - # Clean up + # clean up for handler in logger.handlers[:]: if isinstance(handler, logging.FileHandler): handler.close() @@ -155,38 +155,36 @@ def test_init_loggers_file_config(): def test_init_loggers_console_config(): """Test that init_loggers works with console configuration.""" config = get_default_graphrag_config() - config.reporting = ReportingConfig(type=ReportingType.console) - # Call init_loggers with config + # call init_loggers with config init_loggers(config=config) logger = logging.getLogger("graphrag") - # Should have a console handler from the config + # should have a console handler from the config console_handlers = [ h for h in logger.handlers if isinstance(h, logging.StreamHandler) ] assert len(console_handlers) > 0 - # Clean up + # clean up logger.handlers.clear() def test_init_loggers_both_console(): """Test that init_loggers doesn't duplicate console handlers.""" config = get_default_graphrag_config() - config.reporting = ReportingConfig(type=ReportingType.console) - # Call init_loggers with config + # call init_loggers with config init_loggers(config=config) logger = logging.getLogger("graphrag") - # Should have only one console handler (no duplicates) + # should have only one console handler (no duplicates) console_handlers = [ h for h in logger.handlers if isinstance(h, logging.StreamHandler) ] assert len(console_handlers) == 1 - # Clean up + # clean up logger.handlers.clear() From 81295342f89c12a1287520b64b76df83f7a26bae Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 6 Jun 2025 08:26:21 -0400 Subject: [PATCH 70/88] add verbose logging to query --- graphrag/api/prompt_tune.py | 6 +++--- graphrag/api/query.py | 36 ++++++++++++++++++++++++------------ graphrag/cli/main.py | 10 ++++++++++ graphrag/cli/query.py | 29 +++++++++++++++++++++++++---- 4 files changed, 62 insertions(+), 19 deletions(-) diff --git a/graphrag/api/prompt_tune.py b/graphrag/api/prompt_tune.py index c58c85a807..bf1d1c256f 100644 --- a/graphrag/api/prompt_tune.py +++ b/graphrag/api/prompt_tune.py @@ -192,9 +192,9 @@ async def generate_indexing_prompts( language=language, ) - logger.info(f"\nGenerated domain: {domain}") # noqa: G004 - logger.info(f"\nDetected language: {language}") # noqa: G004 - logger.info(f"\nGenerated persona: {persona}") # noqa: G004 + logger.debug("Generated domain: %s", domain) + logger.debug("Detected language: %s", language) + logger.debug("Generated persona: %s", persona) return ( extract_graph_prompt, diff --git a/graphrag/api/query.py b/graphrag/api/query.py index dde505b895..eca10d7f24 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -70,6 +70,7 @@ async def global_search( response_type: str, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> tuple[ str | dict[str, Any] | list[dict[str, Any]], str | list[pd.DataFrame] | dict[str, pd.DataFrame], @@ -91,7 +92,7 @@ async def global_search( ------- TODO: Document the search response type and format. """ - init_loggers(config=config) + init_loggers(config=config, verbose=verbose) callbacks = callbacks or [] full_response = "" @@ -133,6 +134,7 @@ def global_search_streaming( response_type: str, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> AsyncGenerator: """Perform a global search and return the context data and response via a generator. @@ -153,7 +155,7 @@ def global_search_streaming( ------- TODO: Document the search response type and format. """ - init_loggers(config=config) + init_loggers(config=config, verbose=verbose) communities_ = read_indexer_communities(communities, community_reports) reports = read_indexer_reports( @@ -202,6 +204,7 @@ async def multi_index_global_search( streaming: bool, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> tuple[ str | dict[str, Any] | list[dict[str, Any]], str | list[pd.DataFrame] | dict[str, pd.DataFrame], @@ -225,7 +228,7 @@ async def multi_index_global_search( ------- TODO: Document the search response type and format. """ - init_loggers(config=config) + init_loggers(config=config, verbose=verbose) # Streaming not supported yet if streaming: @@ -343,6 +346,7 @@ async def local_search( response_type: str, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> tuple[ str | dict[str, Any] | list[dict[str, Any]], str | list[pd.DataFrame] | dict[str, pd.DataFrame], @@ -364,7 +368,7 @@ async def local_search( ------- TODO: Document the search response type and format. """ - init_loggers(config=config) + init_loggers(config=config, verbose=verbose) callbacks = callbacks or [] full_response = "" @@ -410,6 +414,7 @@ def local_search_streaming( response_type: str, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> AsyncGenerator: """Perform a local search and return the context data and response via a generator. @@ -429,7 +434,7 @@ def local_search_streaming( ------- TODO: Document the search response type and format. """ - init_loggers(config=config) + init_loggers(config=config, verbose=verbose) vector_store_args = {} for index, store in config.vector_store.items(): @@ -477,6 +482,7 @@ async def multi_index_local_search( streaming: bool, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> tuple[ str | dict[str, Any] | list[dict[str, Any]], str | list[pd.DataFrame] | dict[str, pd.DataFrame], @@ -501,7 +507,7 @@ async def multi_index_local_search( ------- TODO: Document the search response type and format. """ - init_loggers(config=config) + init_loggers(config=config, verbose=verbose) # Streaming not supported yet if streaming: @@ -702,6 +708,7 @@ async def drift_search( response_type: str, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> tuple[ str | dict[str, Any] | list[dict[str, Any]], str | list[pd.DataFrame] | dict[str, pd.DataFrame], @@ -722,7 +729,7 @@ async def drift_search( ------- TODO: Document the search response type and format. """ - init_loggers(config=config) + init_loggers(config=config, verbose=verbose) callbacks = callbacks or [] full_response = "" @@ -766,6 +773,7 @@ def drift_search_streaming( response_type: str, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> AsyncGenerator: """Perform a DRIFT search and return the context data and response. @@ -783,7 +791,7 @@ def drift_search_streaming( ------- TODO: Document the search response type and format. """ - init_loggers() + init_loggers(config=config, verbose=verbose) vector_store_args = {} for index, store in config.vector_store.items(): @@ -839,6 +847,7 @@ async def multi_index_drift_search( streaming: bool, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> tuple[ str | dict[str, Any] | list[dict[str, Any]], str | list[pd.DataFrame] | dict[str, pd.DataFrame], @@ -862,7 +871,7 @@ async def multi_index_drift_search( ------- TODO: Document the search response type and format. """ - init_loggers() + init_loggers(config=config, verbose=verbose) # Streaming not supported yet if streaming: @@ -1037,6 +1046,7 @@ async def basic_search( text_units: pd.DataFrame, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> tuple[ str | dict[str, Any] | list[dict[str, Any]], str | list[pd.DataFrame] | dict[str, pd.DataFrame], @@ -1053,7 +1063,7 @@ async def basic_search( ------- TODO: Document the search response type and format. """ - init_loggers() + init_loggers(config=config, verbose=verbose) callbacks = callbacks or [] full_response = "" @@ -1085,6 +1095,7 @@ def basic_search_streaming( text_units: pd.DataFrame, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> AsyncGenerator: """Perform a local search and return the context data and response via a generator. @@ -1098,7 +1109,7 @@ def basic_search_streaming( ------- TODO: Document the search response type and format. """ - init_loggers() + init_loggers(config=config, verbose=verbose) vector_store_args = {} for index, store in config.vector_store.items(): @@ -1132,6 +1143,7 @@ async def multi_index_basic_search( streaming: bool, query: str, callbacks: list[QueryCallbacks] | None = None, + verbose: bool = False, ) -> tuple[ str | dict[str, Any] | list[dict[str, Any]], str | list[pd.DataFrame] | dict[str, pd.DataFrame], @@ -1150,7 +1162,7 @@ async def multi_index_basic_search( ------- TODO: Document the search response type and format. """ - init_loggers() + init_loggers(config=config, verbose=verbose) # Streaming not supported yet if streaming: diff --git a/graphrag/cli/main.py b/graphrag/cli/main.py index a75edd0173..bc0e9f39ac 100644 --- a/graphrag/cli/main.py +++ b/graphrag/cli/main.py @@ -434,6 +434,12 @@ def _query_cli( readable=True, autocompletion=CONFIG_AUTOCOMPLETE, ), + verbose: bool = typer.Option( + False, + "--verbose", + "-v", + help="Run the query with verbose logging.", + ), data: Path | None = typer.Option( None, "--data", @@ -501,6 +507,7 @@ def _query_cli( response_type=response_type, streaming=streaming, query=query, + verbose=verbose, ) case SearchMethod.GLOBAL: run_global_search( @@ -512,6 +519,7 @@ def _query_cli( response_type=response_type, streaming=streaming, query=query, + verbose=verbose, ) case SearchMethod.DRIFT: run_drift_search( @@ -522,6 +530,7 @@ def _query_cli( streaming=streaming, response_type=response_type, query=query, + verbose=verbose, ) case SearchMethod.BASIC: run_basic_search( @@ -530,6 +539,7 @@ def _query_cli( root_dir=root, streaming=streaming, query=query, + verbose=verbose, ) case _: raise ValueError(INVALID_METHOD_ERROR) diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index cf314f1471..9550b67e97 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -32,6 +32,7 @@ def run_global_search( response_type: str, streaming: bool, query: str, + verbose: bool, ): """Perform a global search with a given query. @@ -61,7 +62,8 @@ def run_global_search( index_names = dataframe_dict["index_names"] logger.info( - "Running Multi-index Global Search: %s", dataframe_dict["index_names"] + "Running multi-index global search on indexes: %s", + dataframe_dict["index_names"], ) logger.debug( @@ -80,6 +82,7 @@ def run_global_search( response_type=response_type, streaming=streaming, query=query, + verbose=verbose, ) ) logger.debug( @@ -118,6 +121,7 @@ def on_context(context: Any) -> None: response_type=response_type, query=query, callbacks=[callbacks], + verbose=verbose, ): full_response += stream_chunk print(stream_chunk, end="") # noqa: T201 @@ -137,6 +141,7 @@ def on_context(context: Any) -> None: dynamic_community_selection=dynamic_community_selection, response_type=response_type, query=query, + verbose=verbose, ) ) logger.info("Global Search Response:\n%s", response) @@ -153,6 +158,7 @@ def run_local_search( response_type: str, streaming: bool, query: str, + verbose: bool, ): """Perform a local search with a given query. @@ -187,7 +193,8 @@ def run_local_search( index_names = dataframe_dict["index_names"] logger.info( - "Running Multi-index Local Search: %s", dataframe_dict["index_names"] + "Running multi-index local search on indexes: %s", + dataframe_dict["index_names"], ) # If any covariates tables are missing from any index, set the covariates list to None @@ -210,6 +217,7 @@ def run_local_search( response_type=response_type, streaming=streaming, query=query, + verbose=verbose, ) ) logger.info("Local Search Response:\n%s", response) @@ -250,6 +258,7 @@ def on_context(context: Any) -> None: response_type=response_type, query=query, callbacks=[callbacks], + verbose=verbose, ): full_response += stream_chunk print(stream_chunk, end="") # noqa: T201 @@ -271,6 +280,7 @@ def on_context(context: Any) -> None: community_level=community_level, response_type=response_type, query=query, + verbose=verbose, ) ) logger.info("Local Search Response:\n%s", response) @@ -287,6 +297,7 @@ def run_drift_search( response_type: str, streaming: bool, query: str, + verbose: bool, ): """Perform a local search with a given query. @@ -319,7 +330,8 @@ def run_drift_search( index_names = dataframe_dict["index_names"] logger.info( - "Running Multi-index Drift Search: %s", dataframe_dict["index_names"] + "Running multi-index drift search on indexes: %s", + dataframe_dict["index_names"], ) response, context_data = asyncio.run( @@ -335,6 +347,7 @@ def run_drift_search( response_type=response_type, streaming=streaming, query=query, + verbose=verbose, ) ) logger.info("DRIFT Search Response:\n%s", response) @@ -373,6 +386,7 @@ def on_context(context: Any) -> None: response_type=response_type, query=query, callbacks=[callbacks], + verbose=verbose, ): full_response += stream_chunk print(stream_chunk, end="") # noqa: T201 @@ -394,6 +408,7 @@ def on_context(context: Any) -> None: community_level=community_level, response_type=response_type, query=query, + verbose=verbose, ) ) logger.info("DRIFT Search Response:\n%s", response) @@ -408,6 +423,7 @@ def run_basic_search( root_dir: Path, streaming: bool, query: str, + verbose: bool, ): """Perform a basics search with a given query. @@ -432,7 +448,8 @@ def run_basic_search( index_names = dataframe_dict["index_names"] logger.info( - "Running Multi-index Basic Search: %s", dataframe_dict["index_names"] + "Running multi-index basic search on indexes: %s", + dataframe_dict["index_names"], ) response, context_data = asyncio.run( @@ -442,6 +459,7 @@ def run_basic_search( index_names=index_names, streaming=streaming, query=query, + verbose=verbose, ) ) logger.info("Basic Search Response:\n%s", response) @@ -469,6 +487,8 @@ def on_context(context: Any) -> None: config=config, text_units=final_text_units, query=query, + callbacks=[callbacks], + verbose=verbose, ): full_response += stream_chunk print(stream_chunk, end="") # noqa: T201 @@ -483,6 +503,7 @@ def on_context(context: Any) -> None: config=config, text_units=final_text_units, query=query, + verbose=verbose, ) ) logger.info("Basic Search Response:\n%s", response) From 64cde03a6c4a2bb6a897c19410004600cfd86a05 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 6 Jun 2025 09:20:45 -0400 Subject: [PATCH 71/88] minor code cleanup --- graphrag/api/query.py | 16 +++++++++------- graphrag/cli/query.py | 26 +++++++++++++++++--------- graphrag/utils/api.py | 7 +++++++ 3 files changed, 33 insertions(+), 16 deletions(-) diff --git a/graphrag/api/query.py b/graphrag/api/query.py index eca10d7f24..31017f592d 100644 --- a/graphrag/api/query.py +++ b/graphrag/api/query.py @@ -51,6 +51,7 @@ from graphrag.utils.api import ( get_embedding_store, load_search_prompt, + truncate, update_context_data, ) from graphrag.utils.cli import redact @@ -119,7 +120,7 @@ def on_context(context: Any) -> None: callbacks=callbacks, ): full_response += chunk - logger.debug("Query response: %s", full_response) + logger.debug("Query response: %s", truncate(full_response, 400)) return full_response, context_data @@ -329,7 +330,7 @@ async def multi_index_global_search( # Update the context data by linking index names and community ids context = update_context_data(result[1], links) - logger.debug("Query response: %s", result[0]) + logger.debug("Query response: %s", truncate(result[0], 400)) # type: ignore return (result[0], context) @@ -397,7 +398,7 @@ def on_context(context: Any) -> None: callbacks=callbacks, ): full_response += chunk - logger.debug("Query response: %s", full_response) + logger.debug("Query response: %s", truncate(full_response, 400)) return full_response, context_data @@ -692,7 +693,7 @@ async def multi_index_local_search( # Update the context data by linking index names and community ids context = update_context_data(result[1], links) - logger.debug("Query response: %s", result[0]) + logger.debug("Query response: %s", truncate(result[0], 400)) # type: ignore return (result[0], context) @@ -757,7 +758,7 @@ def on_context(context: Any) -> None: callbacks=callbacks, ): full_response += chunk - logger.debug("Query response: %s", full_response) + logger.debug("Query response: %s", truncate(full_response, 400)) return full_response, context_data @@ -1036,7 +1037,8 @@ async def multi_index_drift_search( context[key] = update_context_data(result[1][key], links) else: context = result[1] - logger.debug("Query response: %s", result[0]) + + logger.debug("Query response: %s", truncate(result[0], 400)) # type: ignore return (result[0], context) @@ -1085,7 +1087,7 @@ def on_context(context: Any) -> None: callbacks=callbacks, ): full_response += chunk - logger.debug("Query response: %s", full_response) + logger.debug("Query response: %s", truncate(full_response, 400)) return full_response, context_data diff --git a/graphrag/cli/query.py b/graphrag/cli/query.py index 9550b67e97..4704231f5e 100644 --- a/graphrag/cli/query.py +++ b/graphrag/cli/query.py @@ -65,11 +65,6 @@ def run_global_search( "Running multi-index global search on indexes: %s", dataframe_dict["index_names"], ) - - logger.debug( - "Executing query: %s", - query if len(query) < 400 else f"{query[:400]}...[truncated]", - ) response, context_data = asyncio.run( api.multi_index_global_search( config=config, @@ -85,10 +80,9 @@ def run_global_search( verbose=verbose, ) ) - logger.debug( - "Response:\n%s", - response if len(response) < 400 else f"{str(response)[:400]}...[truncated]", - ) + # log the full response at INFO level for user visibility but at DEBUG level in the API layer + logger.info("Query Response:\n%s", response) + # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -144,7 +138,9 @@ def on_context(context: Any) -> None: verbose=verbose, ) ) + # log the full response at INFO level for user visibility but at DEBUG level in the API layer logger.info("Global Search Response:\n%s", response) + # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -220,7 +216,9 @@ def run_local_search( verbose=verbose, ) ) + # log the full response at INFO level for user visibility but at DEBUG level in the API layer logger.info("Local Search Response:\n%s", response) + # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -283,7 +281,9 @@ def on_context(context: Any) -> None: verbose=verbose, ) ) + # log the full response at INFO level for user visibility but at DEBUG level in the API layer logger.info("Local Search Response:\n%s", response) + # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -350,7 +350,9 @@ def run_drift_search( verbose=verbose, ) ) + # log the full response at INFO level for user visibility but at DEBUG level in the API layer logger.info("DRIFT Search Response:\n%s", response) + # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -411,7 +413,9 @@ def on_context(context: Any) -> None: verbose=verbose, ) ) + # log the full response at INFO level for user visibility but at DEBUG level in the API layer logger.info("DRIFT Search Response:\n%s", response) + # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -462,7 +466,9 @@ def run_basic_search( verbose=verbose, ) ) + # log the full response at INFO level for user visibility but at DEBUG level in the API layer logger.info("Basic Search Response:\n%s", response) + # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data @@ -506,7 +512,9 @@ def on_context(context: Any) -> None: verbose=verbose, ) ) + # log the full response at INFO level for user visibility but at DEBUG level in the API layer logger.info("Basic Search Response:\n%s", response) + # NOTE: we return the response and context data here purely as a complete demonstration of the API. # External users should use the API directly to get the response and context data. return response, context_data diff --git a/graphrag/utils/api.py b/graphrag/utils/api.py index 9b69ef97a9..2b4b478548 100644 --- a/graphrag/utils/api.py +++ b/graphrag/utils/api.py @@ -255,3 +255,10 @@ def create_cache_from_config(cache: CacheConfig, root_dir: str) -> PipelineCache root_dir=root_dir, kwargs=cache_config, ) + + +def truncate(text: str, max_length: int) -> str: + """Truncate a string to a maximum length.""" + if len(text) <= max_length: + return text + return text[:max_length] + "...[truncated]" From 30d49f2e5713e60dc183a5c118ec04ef61954819 Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 6 Jun 2025 13:41:05 +0000 Subject: [PATCH 72/88] Fix broken unit tests for chunk_text and standard_logging Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- .../indexing/operations/chunk_text/test_chunk_text.py | 1 + tests/unit/logger/test_standard_logging.py | 9 ++++++--- 2 files changed, 7 insertions(+), 3 deletions(-) diff --git a/tests/unit/indexing/operations/chunk_text/test_chunk_text.py b/tests/unit/indexing/operations/chunk_text/test_chunk_text.py index c013580705..beaf7ea483 100644 --- a/tests/unit/indexing/operations/chunk_text/test_chunk_text.py +++ b/tests/unit/indexing/operations/chunk_text/test_chunk_text.py @@ -169,6 +169,7 @@ def test_chunk_text(mock_progress_ticker, mock_run_strategy, mock_load_strategy) encoding_model = "model" strategy = ChunkStrategyType.sentence callbacks = Mock() + callbacks.progress = Mock() # Add mock progress method mock_load_strategy.return_value = Mock() mock_progress_ticker.return_value = Mock() diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index b493b77c8d..faab786b63 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -70,7 +70,8 @@ def test_init_loggers_console_enabled(): # should have both a console handler and a file handler (default config) console_handlers = [ - h for h in logger.handlers if isinstance(h, logging.StreamHandler) + h for h in logger.handlers + if isinstance(h, logging.StreamHandler) and not isinstance(h, logging.FileHandler) ] file_handlers = [h for h in logger.handlers if isinstance(h, logging.FileHandler)] assert len(console_handlers) > 0 @@ -163,7 +164,8 @@ def test_init_loggers_console_config(): # should have a console handler from the config console_handlers = [ - h for h in logger.handlers if isinstance(h, logging.StreamHandler) + h for h in logger.handlers + if isinstance(h, logging.StreamHandler) and not isinstance(h, logging.FileHandler) ] assert len(console_handlers) > 0 @@ -182,7 +184,8 @@ def test_init_loggers_both_console(): # should have only one console handler (no duplicates) console_handlers = [ - h for h in logger.handlers if isinstance(h, logging.StreamHandler) + h for h in logger.handlers + if isinstance(h, logging.StreamHandler) and not isinstance(h, logging.FileHandler) ] assert len(console_handlers) == 1 From 0ea076d370b326b6d2f46090a91d2a5353e226bf Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 6 Jun 2025 09:46:59 -0400 Subject: [PATCH 73/88] apply ruff fixes --- .../operations/chunk_text/test_chunk_text.py | 2 +- tests/unit/logger/test_standard_logging.py | 18 ++++++++++++------ 2 files changed, 13 insertions(+), 7 deletions(-) diff --git a/tests/unit/indexing/operations/chunk_text/test_chunk_text.py b/tests/unit/indexing/operations/chunk_text/test_chunk_text.py index beaf7ea483..440a0f9eab 100644 --- a/tests/unit/indexing/operations/chunk_text/test_chunk_text.py +++ b/tests/unit/indexing/operations/chunk_text/test_chunk_text.py @@ -169,7 +169,7 @@ def test_chunk_text(mock_progress_ticker, mock_run_strategy, mock_load_strategy) encoding_model = "model" strategy = ChunkStrategyType.sentence callbacks = Mock() - callbacks.progress = Mock() # Add mock progress method + callbacks.progress = Mock() mock_load_strategy.return_value = Mock() mock_progress_ticker.return_value = Mock() diff --git a/tests/unit/logger/test_standard_logging.py b/tests/unit/logger/test_standard_logging.py index faab786b63..191165652b 100644 --- a/tests/unit/logger/test_standard_logging.py +++ b/tests/unit/logger/test_standard_logging.py @@ -70,8 +70,10 @@ def test_init_loggers_console_enabled(): # should have both a console handler and a file handler (default config) console_handlers = [ - h for h in logger.handlers - if isinstance(h, logging.StreamHandler) and not isinstance(h, logging.FileHandler) + h + for h in logger.handlers + if isinstance(h, logging.StreamHandler) + and not isinstance(h, logging.FileHandler) ] file_handlers = [h for h in logger.handlers if isinstance(h, logging.FileHandler)] assert len(console_handlers) > 0 @@ -164,8 +166,10 @@ def test_init_loggers_console_config(): # should have a console handler from the config console_handlers = [ - h for h in logger.handlers - if isinstance(h, logging.StreamHandler) and not isinstance(h, logging.FileHandler) + h + for h in logger.handlers + if isinstance(h, logging.StreamHandler) + and not isinstance(h, logging.FileHandler) ] assert len(console_handlers) > 0 @@ -184,8 +188,10 @@ def test_init_loggers_both_console(): # should have only one console handler (no duplicates) console_handlers = [ - h for h in logger.handlers - if isinstance(h, logging.StreamHandler) and not isinstance(h, logging.FileHandler) + h + for h in logger.handlers + if isinstance(h, logging.StreamHandler) + and not isinstance(h, logging.FileHandler) ] assert len(console_handlers) == 1 From d9bd984762a3578040c365ab22dc73d3ad156b0f Mon Sep 17 00:00:00 2001 From: "copilot-swe-agent[bot]" <198982749+Copilot@users.noreply.github.com> Date: Fri, 6 Jun 2025 14:02:05 +0000 Subject: [PATCH 74/88] Fix test_chunk_text by mocking progress_ticker function instead of ProgressTicker class Co-authored-by: jgbradley1 <654554+jgbradley1@users.noreply.github.com> --- tests/unit/indexing/operations/chunk_text/test_chunk_text.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/unit/indexing/operations/chunk_text/test_chunk_text.py b/tests/unit/indexing/operations/chunk_text/test_chunk_text.py index 440a0f9eab..7b6c54923f 100644 --- a/tests/unit/indexing/operations/chunk_text/test_chunk_text.py +++ b/tests/unit/indexing/operations/chunk_text/test_chunk_text.py @@ -160,7 +160,7 @@ def test_run_strategy_arr_tuple_same_doc(): @mock.patch("graphrag.index.operations.chunk_text.chunk_text.load_strategy") @mock.patch("graphrag.index.operations.chunk_text.chunk_text.run_strategy") -@mock.patch("graphrag.logger.progress.ProgressTicker") +@mock.patch("graphrag.index.operations.chunk_text.chunk_text.progress_ticker") def test_chunk_text(mock_progress_ticker, mock_run_strategy, mock_load_strategy): input_data = pd.DataFrame({"name": ["The Shining"]}) column = "name" @@ -177,5 +177,5 @@ def test_chunk_text(mock_progress_ticker, mock_run_strategy, mock_load_strategy) chunk_text(input_data, column, size, overlap, encoding_model, strategy, callbacks) mock_run_strategy.assert_called_with( - mock_load_strategy(), "The Shining", ANY, mock_progress_ticker() + mock_load_strategy(), "The Shining", ANY, mock_progress_ticker.return_value ) From 389c5f1abaaf435544b83d829b1962cf271184e2 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 6 Jun 2025 10:15:14 -0400 Subject: [PATCH 75/88] remove unnecessary logger --- graphrag/callbacks/noop_workflow_callbacks.py | 6 ------ 1 file changed, 6 deletions(-) diff --git a/graphrag/callbacks/noop_workflow_callbacks.py b/graphrag/callbacks/noop_workflow_callbacks.py index 8446660151..9f9ac2aee0 100644 --- a/graphrag/callbacks/noop_workflow_callbacks.py +++ b/graphrag/callbacks/noop_workflow_callbacks.py @@ -3,8 +3,6 @@ """A no-op implementation of WorkflowCallbacks.""" -import logging - from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.index.typing.pipeline_run_result import PipelineRunResult from graphrag.logger.progress import Progress @@ -13,10 +11,6 @@ class NoopWorkflowCallbacks(WorkflowCallbacks): """A no-op implementation of WorkflowCallbacks that logs all events to standard logging.""" - def __init__(self, logger_name: str = "graphrag"): - """Initialize a logger.""" - self.logger = logging.getLogger(logger_name) - def pipeline_start(self, names: list[str]) -> None: """Execute this callback to signal when the entire pipeline starts.""" From 4e2c10728c52ff875899bef2c2c9bb7e9bf069f5 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 6 Jun 2025 10:51:21 -0400 Subject: [PATCH 76/88] remove rich and fix type annotation --- graphrag/api/index.py | 2 +- graphrag/logger/types.py | 22 --- poetry.lock | 330 +++++++++++++++++++++++++++++++++------ pyproject.toml | 1 - 4 files changed, 287 insertions(+), 68 deletions(-) delete mode 100644 graphrag/logger/types.py diff --git a/graphrag/api/index.py b/graphrag/api/index.py index a6f5f1bdf1..a62d59c78b 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -40,7 +40,7 @@ async def build_index( Styling of indexing to perform (full LLM, NLP + LLM, etc.). memory_profile : bool Whether to enable memory profiling. - callbacks : list | None default=None + callbacks : list[WorkflowCallbacks] | None default=None A list of callbacks to register. Returns diff --git a/graphrag/logger/types.py b/graphrag/logger/types.py deleted file mode 100644 index 928211b972..0000000000 --- a/graphrag/logger/types.py +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) 2024 Microsoft Corporation. -# Licensed under the MIT License - -"""Logging types. - -This module defines the types of loggers that can be used. -""" - -from enum import Enum - - -# Note: Code in this module was not included in the factory module because it negatively impacts the CLI experience. -class LoggerType(str, Enum): - """The type of logger to use.""" - - RICH = "rich" - PRINT = "print" - NONE = "none" - - def __str__(self): - """Return a string representation of the enum value.""" - return self.value diff --git a/poetry.lock b/poetry.lock index d857a5cb41..e5100da0e2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. [[package]] name = "aiofiles" @@ -6,6 +6,7 @@ version = "24.1.0" description = "File support for asyncio." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5"}, {file = "aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c"}, @@ -17,6 +18,7 @@ version = "1.2.1" description = "asyncio rate limiter, a leaky bucket implementation" optional = false python-versions = "<4.0,>=3.8" +groups = ["main"] files = [ {file = "aiolimiter-1.2.1-py3-none-any.whl", hash = "sha256:d3f249e9059a20badcb56b61601a83556133655c11d1eb3dd3e04ff069e5f3c7"}, {file = "aiolimiter-1.2.1.tar.gz", hash = "sha256:e02a37ea1a855d9e832252a105420ad4d15011505512a1a1d814647451b5cca9"}, @@ -28,6 +30,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -39,6 +42,7 @@ version = "4.9.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.9" +groups = ["main", "dev"] files = [ {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"}, {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"}, @@ -52,7 +56,7 @@ typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"] -test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"] +test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""] trio = ["trio (>=0.26.1)"] [[package]] @@ -61,6 +65,7 @@ version = "2.13.0" description = "Powerful and Lightweight Python Tree Data Structure with various plugins" optional = false python-versions = "<4.0,>=3.9.2" +groups = ["main"] files = [ {file = "anytree-2.13.0-py3-none-any.whl", hash = "sha256:4cbcf10df36b1f1cba131b7e487ff3edafc9d6e932a3c70071b5b768bab901ff"}, {file = "anytree-2.13.0.tar.gz", hash = "sha256:c9d3aa6825fdd06af7ebb05b4ef291d2db63e62bb1f9b7d9b71354be9d362714"}, @@ -72,6 +77,8 @@ version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" optional = false python-versions = ">=3.6" +groups = ["dev"] +markers = "platform_system == \"Darwin\"" files = [ {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, @@ -83,6 +90,7 @@ version = "23.1.0" description = "Argon2 for Python" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"}, {file = "argon2_cffi-23.1.0.tar.gz", hash = "sha256:879c3e79a2729ce768ebb7d36d4609e3a78a4ca2ec3a9f12286ca057e3d0db08"}, @@ -103,6 +111,7 @@ version = "21.2.0" description = "Low-level CFFI bindings for Argon2" optional = false python-versions = ">=3.6" +groups = ["dev"] files = [ {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"}, {file = "argon2_cffi_bindings-21.2.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:ccb949252cb2ab3a08c02024acb77cfb179492d5701c7cbdbfd776124d4d2367"}, @@ -140,6 +149,7 @@ version = "1.3.0" description = "Better dates & times for Python" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"}, {file = "arrow-1.3.0.tar.gz", hash = "sha256:d4540617648cb5f895730f1ad8c82a65f2dad0166f57b75f3ca54759c4d67a85"}, @@ -159,6 +169,7 @@ version = "2.4.1" description = "Annotate AST trees with source code positions" optional = false python-versions = "*" +groups = ["main", "dev"] files = [ {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"}, {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"}, @@ -168,8 +179,8 @@ files = [ six = ">=1.12.0" [package.extras] -astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] -test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] +astroid = ["astroid (>=1,<2) ; python_version < \"3\"", "astroid (>=2,<4) ; python_version >= \"3\""] +test = ["astroid (>=1,<2) ; python_version < \"3\"", "astroid (>=2,<4) ; python_version >= \"3\"", "pytest"] [[package]] name = "async-lru" @@ -177,6 +188,7 @@ version = "2.0.5" description = "Simple LRU cache for asyncio" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "async_lru-2.0.5-py3-none-any.whl", hash = "sha256:ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943"}, {file = "async_lru-2.0.5.tar.gz", hash = "sha256:481d52ccdd27275f42c43a928b4a50c3bfb2d67af4e78b170e3e0bb39c66e5bb"}, @@ -191,18 +203,19 @@ version = "25.3.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3"}, {file = "attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"}, ] [package.extras] -benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] +benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +cov = ["cloudpickle ; platform_python_implementation == \"CPython\"", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +dev = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier"] -tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"] -tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"] +tests = ["cloudpickle ; platform_python_implementation == \"CPython\"", "hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"] +tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\"", "pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and python_version >= \"3.10\""] [[package]] name = "autograd" @@ -210,6 +223,7 @@ version = "1.8.0" description = "Efficiently computes derivatives of NumPy code." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "autograd-1.8.0-py3-none-any.whl", hash = "sha256:4ab9084294f814cf56c280adbe19612546a35574d67c574b04933c7d2ecb7d78"}, {file = "autograd-1.8.0.tar.gz", hash = "sha256:107374ded5b09fc8643ac925348c0369e7b0e73bbed9565ffd61b8fd04425683"}, @@ -228,6 +242,7 @@ version = "1.1.28" description = "Microsoft Azure Client Library for Python (Common)" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "azure-common-1.1.28.zip", hash = "sha256:4ac0cd3214e36b6a1b6a442686722a5d8cc449603aa833f3f0f40bda836704a3"}, {file = "azure_common-1.1.28-py2.py3-none-any.whl", hash = "sha256:5c12d3dcf4ec20599ca6b0d3e09e86e146353d443e7fcc050c9a19c1f9df20ad"}, @@ -239,6 +254,7 @@ version = "1.34.0" description = "Microsoft Azure Core Library for Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "azure_core-1.34.0-py3-none-any.whl", hash = "sha256:0615d3b756beccdb6624d1c0ae97284f38b78fb59a2a9839bf927c66fbbdddd6"}, {file = "azure_core-1.34.0.tar.gz", hash = "sha256:bdb544989f246a0ad1c85d72eeb45f2f835afdcbc5b45e43f0dbde7461c81ece"}, @@ -259,6 +275,7 @@ version = "4.9.0" description = "Microsoft Azure Cosmos Client Library for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "azure_cosmos-4.9.0-py3-none-any.whl", hash = "sha256:3b60eaa01a16a857d0faf0cec304bac6fa8620a81bc268ce760339032ef617fe"}, {file = "azure_cosmos-4.9.0.tar.gz", hash = "sha256:c70db4cbf55b0ff261ed7bb8aa325a5dfa565d3c6eaa43d75d26ae5e2ad6d74f"}, @@ -274,6 +291,7 @@ version = "1.23.0" description = "Microsoft Azure Identity Library for Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "azure_identity-1.23.0-py3-none-any.whl", hash = "sha256:dbbeb64b8e5eaa81c44c565f264b519ff2de7ff0e02271c49f3cb492762a50b0"}, {file = "azure_identity-1.23.0.tar.gz", hash = "sha256:d9cdcad39adb49d4bb2953a217f62aec1f65bbb3c63c9076da2be2a47e53dde4"}, @@ -292,6 +310,7 @@ version = "11.5.2" description = "Microsoft Azure Cognitive Search Client Library for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "azure_search_documents-11.5.2-py3-none-any.whl", hash = "sha256:c949d011008a4b0bcee3db91132741b4e4d50ddb3f7e2f48944d949d4b413b11"}, {file = "azure_search_documents-11.5.2.tar.gz", hash = "sha256:98977dd1fa4978d3b7d8891a0856b3becb6f02cc07ff2e1ea40b9c7254ada315"}, @@ -309,6 +328,7 @@ version = "12.25.1" description = "Microsoft Azure Blob Storage Client Library for Python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "azure_storage_blob-12.25.1-py3-none-any.whl", hash = "sha256:1f337aab12e918ec3f1b638baada97550673911c4ceed892acc8e4e891b74167"}, {file = "azure_storage_blob-12.25.1.tar.gz", hash = "sha256:4f294ddc9bc47909ac66b8934bd26b50d2000278b10ad82cc109764fdc6e0e3b"}, @@ -329,13 +349,14 @@ version = "2.17.0" description = "Internationalization utilities" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"}, {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"}, ] [package.extras] -dev = ["backports.zoneinfo", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata"] +dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""] [[package]] name = "backports-datetime-fromisoformat" @@ -343,6 +364,8 @@ version = "2.0.3" description = "Backport of Python 3.11's datetime.fromisoformat" optional = false python-versions = ">3" +groups = ["main"] +markers = "python_version == \"3.10\"" files = [ {file = "backports_datetime_fromisoformat-2.0.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5f681f638f10588fa3c101ee9ae2b63d3734713202ddfcfb6ec6cea0778a29d4"}, {file = "backports_datetime_fromisoformat-2.0.3-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:cd681460e9142f1249408e5aee6d178c6d89b49e06d44913c8fdfb6defda8d1c"}, @@ -399,6 +422,7 @@ version = "5.8" description = "A wrapper around re and regex that adds additional back references." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "backrefs-5.8-py310-none-any.whl", hash = "sha256:c67f6638a34a5b8730812f5101376f9d41dc38c43f1fdc35cb54700f6ed4465d"}, {file = "backrefs-5.8-py311-none-any.whl", hash = "sha256:2e1c15e4af0e12e45c8701bd5da0902d326b2e200cafcd25e49d9f06d44bb61b"}, @@ -417,6 +441,7 @@ version = "0.18.5" description = "Unbearably fast runtime type checking in pure Python." optional = false python-versions = ">=3.8.0" +groups = ["main"] files = [ {file = "beartype-0.18.5-py3-none-any.whl", hash = "sha256:5301a14f2a9a5540fe47ec6d34d758e9cd8331d36c4760fc7a5499ab86310089"}, {file = "beartype-0.18.5.tar.gz", hash = "sha256:264ddc2f1da9ec94ff639141fbe33d22e12a9f75aa863b83b7046ffff1381927"}, @@ -424,9 +449,9 @@ files = [ [package.extras] all = ["typing-extensions (>=3.10.0.0)"] -dev = ["autoapi (>=0.9.0)", "coverage (>=5.5)", "equinox", "mypy (>=0.800)", "numpy", "pandera", "pydata-sphinx-theme (<=0.7.2)", "pytest (>=4.0.0)", "sphinx", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)", "tox (>=3.20.1)", "typing-extensions (>=3.10.0.0)"] +dev = ["autoapi (>=0.9.0)", "coverage (>=5.5)", "equinox", "mypy (>=0.800) ; platform_python_implementation != \"PyPy\"", "numpy ; sys_platform != \"darwin\" and platform_python_implementation != \"PyPy\"", "pandera", "pydata-sphinx-theme (<=0.7.2)", "pytest (>=4.0.0)", "sphinx (>=4.2.0,<6.0.0)", "sphinx ; python_version >= \"3.8.0\"", "sphinxext-opengraph (>=0.7.5)", "tox (>=3.20.1)", "typing-extensions (>=3.10.0.0)"] doc-rtd = ["autoapi (>=0.9.0)", "pydata-sphinx-theme (<=0.7.2)", "sphinx (>=4.2.0,<6.0.0)", "sphinxext-opengraph (>=0.7.5)"] -test-tox = ["equinox", "mypy (>=0.800)", "numpy", "pandera", "pytest (>=4.0.0)", "sphinx", "typing-extensions (>=3.10.0.0)"] +test-tox = ["equinox", "mypy (>=0.800) ; platform_python_implementation != \"PyPy\"", "numpy ; sys_platform != \"darwin\" and platform_python_implementation != \"PyPy\"", "pandera", "pytest (>=4.0.0)", "sphinx ; python_version >= \"3.8.0\"", "typing-extensions (>=3.10.0.0)"] test-tox-coverage = ["coverage (>=5.5)"] [[package]] @@ -435,6 +460,7 @@ version = "4.13.4" description = "Screen-scraping library" optional = false python-versions = ">=3.7.0" +groups = ["dev"] files = [ {file = "beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b"}, {file = "beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195"}, @@ -457,6 +483,7 @@ version = "6.2.0" description = "An easy safelist-based HTML-sanitizing tool." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"}, {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"}, @@ -475,6 +502,7 @@ version = "1.2.1" description = "The Blis BLAS-like linear algebra library, as a self-contained C-extension." optional = false python-versions = "<3.13,>=3.6" +groups = ["main"] files = [ {file = "blis-1.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:112443b90698158ada38f71e74c079c3561e802554a51e9850d487c39db25de0"}, {file = "blis-1.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b9f8c4fbc303f47778d1fd47916cae785b6f3beaa2031502112a8c0aa5eb29f6"}, @@ -515,6 +543,7 @@ version = "2.0.10" description = "Super lightweight function registries for your library" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "catalogue-2.0.10-py3-none-any.whl", hash = "sha256:58c2de0020aa90f4a2da7dfad161bf7b3b054c86a5f09fcedc0b2b740c109a9f"}, {file = "catalogue-2.0.10.tar.gz", hash = "sha256:4f56daa940913d3f09d589c191c74e5a6d51762b3a9e37dd53b7437afd6cda15"}, @@ -526,6 +555,7 @@ version = "2025.4.26" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.6" +groups = ["main", "dev"] files = [ {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"}, {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"}, @@ -537,6 +567,7 @@ version = "1.17.1" description = "Foreign Function Interface for Python calling C code." optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "cffi-1.17.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:df8b1c11f177bc2313ec4b2d46baec87a5f3e71fc8b45dab2ee7cae86d9aba14"}, {file = "cffi-1.17.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8f2cdc858323644ab277e9bb925ad72ae0e67f69e804f4898c070998d50b1a67"}, @@ -606,6 +637,7 @@ files = [ {file = "cffi-1.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:d016c76bdd850f3c626af19b0542c9677ba156e4ee4fccfdd7848803533ef662"}, {file = "cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824"}, ] +markers = {main = "platform_python_implementation != \"PyPy\""} [package.dependencies] pycparser = "*" @@ -616,6 +648,7 @@ version = "3.4.2" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" +groups = ["main", "dev"] files = [ {file = "charset_normalizer-3.4.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7c48ed483eb946e6c04ccbe02c6b4d1d48e51944b6db70f697e089c193404941"}, {file = "charset_normalizer-3.4.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b2d318c11350e10662026ad0eb71bb51c7812fc8590825304ae0bdd4ac283acd"}, @@ -717,6 +750,7 @@ version = "8.2.1" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" +groups = ["main", "dev"] files = [ {file = "click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b"}, {file = "click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202"}, @@ -731,6 +765,7 @@ version = "0.21.1" description = "pathlib-style classes for cloud storage services." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "cloudpathlib-0.21.1-py3-none-any.whl", hash = "sha256:bfe580ad72ec030472ec233cd7380701b2d3227da7b2898387bd170aa70c803c"}, {file = "cloudpathlib-0.21.1.tar.gz", hash = "sha256:f26a855abf34d98f267aafd15efdb2db3c9665913dbabe5fad079df92837a431"}, @@ -751,10 +786,12 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["main", "dev"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] +markers = {main = "sys_platform == \"win32\" or platform_system == \"Windows\""} [[package]] name = "comm" @@ -762,6 +799,7 @@ version = "0.2.2" description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3"}, {file = "comm-0.2.2.tar.gz", hash = "sha256:3fd7a84065306e07bea1773df6eb8282de51ba82f77c72f9c85716ab11fe980e"}, @@ -779,6 +817,7 @@ version = "0.1.5" description = "The sweetest config system for Python" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "confection-0.1.5-py3-none-any.whl", hash = "sha256:e29d3c3f8eac06b3f77eb9dfb4bf2fc6bcc9622a98ca00a698e3d019c6430b14"}, {file = "confection-0.1.5.tar.gz", hash = "sha256:8e72dd3ca6bd4f48913cd220f10b8275978e740411654b6e8ca6d7008c590f0e"}, @@ -794,6 +833,7 @@ version = "1.3.2" description = "Python library for calculating contours of 2D quadrilateral grids" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "contourpy-1.3.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ba38e3f9f330af820c4b27ceb4b9c7feee5fe0493ea53a8720f4792667465934"}, {file = "contourpy-1.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:dc41ba0714aa2968d1f8674ec97504a8f7e334f48eeacebcaa6256213acb0989"}, @@ -870,6 +910,7 @@ version = "7.8.2" description = "Code coverage measurement for Python" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "coverage-7.8.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bd8ec21e1443fd7a447881332f7ce9d35b8fbd2849e761bb290b584535636b0a"}, {file = "coverage-7.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4c26c2396674816deaeae7ded0e2b42c26537280f8fe313335858ffff35019be"}, @@ -941,7 +982,7 @@ files = [ ] [package.extras] -toml = ["tomli"] +toml = ["tomli ; python_full_version <= \"3.11.0a6\""] [[package]] name = "cryptography" @@ -949,6 +990,7 @@ version = "45.0.3" description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." optional = false python-versions = "!=3.9.0,!=3.9.1,>=3.7" +groups = ["main"] files = [ {file = "cryptography-45.0.3-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:7573d9eebaeceeb55285205dbbb8753ac1e962af3d9640791d12b36864065e71"}, {file = "cryptography-45.0.3-cp311-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d377dde61c5d67eb4311eace661c3efda46c62113ff56bf05e2d679e02aebb5b"}, @@ -993,10 +1035,10 @@ files = [ cffi = {version = ">=1.14", markers = "platform_python_implementation != \"PyPy\""} [package.extras] -docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs", "sphinx-rtd-theme (>=3.0.0)"] +docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs ; python_full_version >= \"3.8.0\"", "sphinx-rtd-theme (>=3.0.0) ; python_full_version >= \"3.8.0\""] docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"] -nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2)"] -pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"] +nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2) ; python_full_version >= \"3.8.0\""] +pep8test = ["check-sdist ; python_full_version >= \"3.8.0\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"] sdist = ["build (>=1.0.0)"] ssh = ["bcrypt (>=3.1.5)"] test = ["certifi (>=2024)", "cryptography-vectors (==45.0.3)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"] @@ -1008,6 +1050,7 @@ version = "0.12.1" description = "Composable style cycles" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30"}, {file = "cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"}, @@ -1023,6 +1066,7 @@ version = "2.0.11" description = "Manage calls to calloc/free through Cython" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "cymem-2.0.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1b4dd8f8c2475c7c9948eefa89c790d83134600858d8d43b90276efd8df3882e"}, {file = "cymem-2.0.11-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d46ba0d2e0f749195297d16f2286b55af7d7c084db2b853fdfccece2c000c5dc"}, @@ -1068,6 +1112,7 @@ version = "1.8.14" description = "An implementation of the Debug Adapter Protocol for Python" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "debugpy-1.8.14-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:93fee753097e85623cab1c0e6a68c76308cd9f13ffdf44127e6fab4fbf024339"}, {file = "debugpy-1.8.14-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d937d93ae4fa51cdc94d3e865f535f185d5f9748efb41d0d49e33bf3365bd79"}, @@ -1103,6 +1148,7 @@ version = "5.2.1" description = "Decorators for Humans" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "decorator-5.2.1-py3-none-any.whl", hash = "sha256:d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a"}, {file = "decorator-5.2.1.tar.gz", hash = "sha256:65f266143752f734b0a7cc83c46f4618af75b8c5911b00ccb61d0ac9b6da0360"}, @@ -1114,6 +1160,7 @@ version = "0.7.1" description = "XML bomb protection for Python stdlib modules" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["dev"] files = [ {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, @@ -1125,6 +1172,7 @@ version = "2.1.0" description = "A library to handle automated deprecations" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "deprecation-2.1.0-py2.py3-none-any.whl", hash = "sha256:a10811591210e1fb0e768a8c25517cabeabcba6f0bf96564f8ff45189f90b14a"}, {file = "deprecation-2.1.0.tar.gz", hash = "sha256:72b3bde64e5d778694b0cf68178aed03d15e15477116add3fb773e581f9518ff"}, @@ -1139,6 +1187,7 @@ version = "0.21.2" description = "A command line utility to check for unused, missing and transitive dependencies in a Python project." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "deptry-0.21.2-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:e3b9e0c5ee437240b65e61107b5777a12064f78f604bf9f181a96c9b56eb896d"}, {file = "deptry-0.21.2-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:d76bbf48bd62ecc44ca3d414769bd4b7956598d23d9ccb42fd359b831a31cab2"}, @@ -1171,6 +1220,7 @@ version = "0.12.2" description = "Python's missing debug print command, and more." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "devtools-0.12.2-py3-none-any.whl", hash = "sha256:c366e3de1df4cdd635f1ad8cbcd3af01a384d7abda71900e68d43b04eb6aaca7"}, {file = "devtools-0.12.2.tar.gz", hash = "sha256:efceab184cb35e3a11fa8e602cc4fadacaa2e859e920fc6f87bf130b69885507"}, @@ -1187,6 +1237,7 @@ version = "1.9.0" description = "Distro - an OS platform information API" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"}, {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"}, @@ -1198,6 +1249,7 @@ version = "11.2.1" description = "simplified environment variable parsing" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "environs-11.2.1-py3-none-any.whl", hash = "sha256:9d2080cf25807a26fc0d4301e2d7b62c64fbf547540f21e3a30cc02bc5fbe948"}, {file = "environs-11.2.1.tar.gz", hash = "sha256:e068ae3174cef52ba4b95ead22e639056a02465f616e62323e04ae08e86a75a4"}, @@ -1218,6 +1270,8 @@ version = "1.3.0" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" +groups = ["main", "dev"] +markers = "python_version == \"3.10\"" files = [ {file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"}, {file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"}, @@ -1235,13 +1289,14 @@ version = "2.2.0" description = "Get the currently executing AST node of a frame, and other information" optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "executing-2.2.0-py2.py3-none-any.whl", hash = "sha256:11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa"}, {file = "executing-2.2.0.tar.gz", hash = "sha256:5d108c028108fe2551d1a7b2e8b713341e2cb4fc0aa7dcf966fa4327a5226755"}, ] [package.extras] -tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"] +tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich ; python_version >= \"3.11\""] [[package]] name = "fastjsonschema" @@ -1249,6 +1304,7 @@ version = "2.21.1" description = "Fastest Python implementation of JSON schema" optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "fastjsonschema-2.21.1-py3-none-any.whl", hash = "sha256:c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667"}, {file = "fastjsonschema-2.21.1.tar.gz", hash = "sha256:794d4f0a58f848961ba16af7b9c85a3e88cd360df008c59aac6fc5ae9323b5d4"}, @@ -1263,6 +1319,7 @@ version = "0.3.0" description = "A function-based LLM protocol and wrapper." optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "fnllm-0.3.0-py3-none-any.whl", hash = "sha256:75268656cfe51fc2265a62fb10f9eca3d4a29d14b6057f0287985b3b72fa53cf"}, {file = "fnllm-0.3.0.tar.gz", hash = "sha256:c69c42990d1c86a463365d2299bfe5a38a5b396a995c35876545977b7a122d40"}, @@ -1290,6 +1347,7 @@ version = "4.58.1" description = "Tools to manipulate font files" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "fonttools-4.58.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4ebd423034ac4f74196c1ae29f8ed3b862f820345acbf35600af8596ebf62573"}, {file = "fonttools-4.58.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9dc36f4b4044d95e6fb358da4c3e6a5c07c9b6f4c1e8c396e89bee3b65dae902"}, @@ -1336,18 +1394,18 @@ files = [ ] [package.extras] -all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"] +all = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "fs (>=2.2.0,<3)", "lxml (>=4.0)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\"", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0) ; python_version <= \"3.12\"", "xattr ; sys_platform == \"darwin\"", "zopfli (>=0.1.4)"] graphite = ["lz4 (>=1.7.4.2)"] -interpolatable = ["munkres", "pycairo", "scipy"] +interpolatable = ["munkres ; platform_python_implementation == \"PyPy\"", "pycairo", "scipy ; platform_python_implementation != \"PyPy\""] lxml = ["lxml (>=4.0)"] pathops = ["skia-pathops (>=0.5.0)"] plot = ["matplotlib"] repacker = ["uharfbuzz (>=0.23.0)"] symfont = ["sympy"] -type1 = ["xattr"] +type1 = ["xattr ; sys_platform == \"darwin\""] ufo = ["fs (>=2.2.0,<3)"] -unicode = ["unicodedata2 (>=15.1.0)"] -woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] +unicode = ["unicodedata2 (>=15.1.0) ; python_version <= \"3.12\""] +woff = ["brotli (>=1.0.1) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\"", "zopfli (>=0.1.4)"] [[package]] name = "fqdn" @@ -1355,6 +1413,7 @@ version = "1.5.1" description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers" optional = false python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4" +groups = ["dev"] files = [ {file = "fqdn-1.5.1-py3-none-any.whl", hash = "sha256:3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014"}, {file = "fqdn-1.5.1.tar.gz", hash = "sha256:105ed3677e767fb5ca086a0c1f4bb66ebc3c100be518f0e0d755d9eae164d89f"}, @@ -1366,6 +1425,7 @@ version = "1.0.0" description = "Clean single-source support for Python 3 and 2" optional = false python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" +groups = ["main"] files = [ {file = "future-1.0.0-py3-none-any.whl", hash = "sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"}, {file = "future-1.0.0.tar.gz", hash = "sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"}, @@ -1377,6 +1437,7 @@ version = "4.3.3" description = "Python framework for fast Vector Space Modelling" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "gensim-4.3.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4e72840adfbea35c5804fd559bc0cb6bc9f439926220a37d852b7ce76eb325c1"}, {file = "gensim-4.3.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4019263c9d9afae7c669f880c17e09461e77a71afce04ed4d79cf71a4cad2848"}, @@ -1423,6 +1484,7 @@ version = "2.1.0" description = "Copy your docs directly to the gh-pages branch." optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"}, {file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"}, @@ -1440,6 +1502,7 @@ version = "3.4.1" description = "A set of Python modules for graph statistics" optional = false python-versions = "<3.13,>=3.9" +groups = ["main"] files = [ {file = "graspologic-3.4.1-py3-none-any.whl", hash = "sha256:c6563e087eda599bad1de831d4b7321c0daa7a82f4e85a7d7737ff67e07cdda2"}, {file = "graspologic-3.4.1.tar.gz", hash = "sha256:7561f0b852a2bccd351bff77e8db07d9892f9dfa35a420fdec01690e4fdc8075"}, @@ -1469,6 +1532,7 @@ version = "1.2.5" description = "Python native companion module to the graspologic library" optional = false python-versions = "<3.14,>=3.8" +groups = ["main"] files = [ {file = "graspologic_native-1.2.5-cp38-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl", hash = 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"httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"}, @@ -1515,6 +1581,7 @@ version = "0.28.1" description = "The next generation HTTP client." optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"}, {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"}, @@ -1527,7 +1594,7 @@ httpcore = "==1.*" idna = "*" [package.extras] -brotli = ["brotli", "brotlicffi"] +brotli = ["brotli ; platform_python_implementation == \"CPython\"", "brotlicffi ; platform_python_implementation != \"CPython\""] cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"] http2 = ["h2 (>=3,<5)"] socks = ["socksio (==1.*)"] @@ -1539,6 +1606,7 @@ version = "0.4.0" description = "A comprehensive independence testing package" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "hyppo-0.4.0-py3-none-any.whl", hash = "sha256:4e75565b8deb601485cd7bc1b5c3f44e6ddf329136fc81e65d011f9b4e95132f"}, ] @@ -1556,6 +1624,7 @@ version = "3.10" description = "Internationalized Domain Names in Applications (IDNA)" optional = false python-versions = ">=3.6" +groups = ["main", "dev"] files = [ {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"}, {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"}, @@ -1570,6 +1639,7 @@ version = "2.1.0" description = "brain-dead simple config-ini parsing" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760"}, {file = "iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7"}, @@ -1581,6 +1651,7 @@ version = "6.29.5" description = "IPython Kernel for Jupyter" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "ipykernel-6.29.5-py3-none-any.whl", hash = "sha256:afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5"}, {file = "ipykernel-6.29.5.tar.gz", hash = "sha256:f093a22c4a40f8828f8e330a9c297cb93dcab13bd9678ded6de8e5cf81c56215"}, @@ -1614,6 +1685,7 @@ version = "8.36.0" description = "IPython: Productive Interactive Computing" optional = false python-versions = ">=3.10" +groups = ["dev"] files = [ {file = "ipython-8.36.0-py3-none-any.whl", hash = "sha256:12b913914d010dcffa2711505ec8be4bf0180742d97f1e5175e51f22086428c1"}, {file = "ipython-8.36.0.tar.gz", hash = "sha256:24658e9fe5c5c819455043235ba59cfffded4a35936eefceceab6b192f7092ff"}, @@ -1635,7 +1707,7 @@ typing_extensions = {version = ">=4.6", markers = "python_version < \"3.12\""} [package.extras] all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"] black = ["black"] -doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing_extensions"] +doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli ; python_version < \"3.11\"", "typing_extensions"] kernel = ["ipykernel"] matplotlib = ["matplotlib"] nbconvert = ["nbconvert"] @@ -1652,6 +1724,7 @@ version = "8.1.7" description = "Jupyter interactive widgets" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "ipywidgets-8.1.7-py3-none-any.whl", hash = "sha256:764f2602d25471c213919b8a1997df04bef869251db4ca8efba1b76b1bd9f7bb"}, {file = "ipywidgets-8.1.7.tar.gz", hash = "sha256:15f1ac050b9ccbefd45dccfbb2ef6bed0029d8278682d569d71b8dd96bee0376"}, @@ -1673,6 +1746,7 @@ version = "0.7.2" description = "An ISO 8601 date/time/duration parser and formatter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "isodate-0.7.2-py3-none-any.whl", hash = "sha256:28009937d8031054830160fce6d409ed342816b543597cece116d966c6d99e15"}, {file = "isodate-0.7.2.tar.gz", hash = "sha256:4cd1aa0f43ca76f4a6c6c0292a85f40b35ec2e43e315b59f06e6d32171a953e6"}, @@ -1684,6 +1758,7 @@ version = "20.11.0" description = "Operations with ISO 8601 durations" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"}, {file = "isoduration-20.11.0.tar.gz", hash = "sha256:ac2f9015137935279eac671f94f89eb00584f940f5dc49462a0c4ee692ba1bd9"}, @@ -1698,6 +1773,7 @@ version = "0.19.2" description = "An autocompletion tool for Python that can be used for text editors." optional = false python-versions = ">=3.6" +groups = ["dev"] files = [ {file = "jedi-0.19.2-py2.py3-none-any.whl", hash = "sha256:a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9"}, {file = "jedi-0.19.2.tar.gz", hash = "sha256:4770dc3de41bde3966b02eb84fbcf557fb33cce26ad23da12c742fb50ecb11f0"}, @@ -1717,6 +1793,7 @@ version = "3.1.6" description = "A very fast and expressive template engine." optional = false python-versions = ">=3.7" +groups = ["main", "dev"] files = [ {file = "jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67"}, {file = "jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d"}, @@ -1734,6 +1811,7 @@ version = "0.10.0" description = "Fast iterable JSON parser." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "jiter-0.10.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:cd2fb72b02478f06a900a5782de2ef47e0396b3e1f7d5aba30daeb1fce66f303"}, {file = "jiter-0.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:32bb468e3af278f095d3fa5b90314728a6916d89ba3d0ffb726dd9bf7367285e"}, @@ -1820,6 +1898,7 @@ version = "1.5.1" description = "Lightweight pipelining with Python functions" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "joblib-1.5.1-py3-none-any.whl", hash = "sha256:4719a31f054c7d766948dcd83e9613686b27114f190f717cec7eaa2084f8a74a"}, {file = "joblib-1.5.1.tar.gz", hash = "sha256:f4f86e351f39fe3d0d32a9f2c3d8af1ee4cec285aafcb27003dda5205576b444"}, @@ -1831,6 +1910,7 @@ version = "0.30.3" description = "A package to repair broken json strings" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "json_repair-0.30.3-py3-none-any.whl", hash = "sha256:63bb588162b0958ae93d85356ecbe54c06b8c33f8a4834f93fa2719ea669804e"}, {file = "json_repair-0.30.3.tar.gz", hash = "sha256:0ac56e7ae9253ee9c507a7e1a3a26799c9b0bbe5e2bec1b2cc5053e90d5b05e3"}, @@ -1842,13 +1922,14 @@ version = "0.12.0" description = "A Python implementation of the JSON5 data format." optional = false python-versions = ">=3.8.0" +groups = ["dev"] files = [ {file = "json5-0.12.0-py3-none-any.whl", hash = "sha256:6d37aa6c08b0609f16e1ec5ff94697e2cbbfbad5ac112afa05794da9ab7810db"}, {file = "json5-0.12.0.tar.gz", hash = "sha256:0b4b6ff56801a1c7dc817b0241bca4ce474a0e6a163bfef3fc594d3fd263ff3a"}, ] [package.extras] -dev = ["build (==1.2.2.post1)", "coverage (==7.5.4)", "coverage (==7.8.0)", "mypy (==1.14.1)", "mypy (==1.15.0)", "pip (==25.0.1)", "pylint (==3.2.7)", "pylint (==3.3.6)", "ruff (==0.11.2)", "twine (==6.1.0)", "uv (==0.6.11)"] +dev = ["build (==1.2.2.post1)", "coverage (==7.5.4) ; python_version < \"3.9\"", "coverage (==7.8.0) ; python_version >= \"3.9\"", "mypy (==1.14.1) ; python_version < \"3.9\"", "mypy (==1.15.0) ; python_version >= \"3.9\"", "pip (==25.0.1)", "pylint (==3.2.7) ; python_version < \"3.9\"", "pylint (==3.3.6) ; python_version >= \"3.9\"", "ruff (==0.11.2)", "twine (==6.1.0)", "uv (==0.6.11)"] [[package]] name = "jsonpointer" @@ -1856,6 +1937,7 @@ version = "3.0.0" description = "Identify specific nodes in a JSON document (RFC 6901)" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash = "sha256:13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942"}, {file = "jsonpointer-3.0.0.tar.gz", hash = "sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"}, @@ -1867,6 +1949,7 @@ version = "4.24.0" description = "An implementation of JSON Schema validation for Python" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "jsonschema-4.24.0-py3-none-any.whl", hash = "sha256:a462455f19f5faf404a7902952b6f0e3ce868f3ee09a359b05eca6673bd8412d"}, {file = "jsonschema-4.24.0.tar.gz", hash = "sha256:0b4e8069eb12aedfa881333004bccaec24ecef5a8a6a4b6df142b2cc9599d196"}, @@ -1896,6 +1979,7 @@ version = "2025.4.1" description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af"}, {file = "jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608"}, @@ -1910,6 +1994,7 @@ version = "1.1.1" description = "Jupyter metapackage. Install all the Jupyter components in one go." optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "jupyter-1.1.1-py2.py3-none-any.whl", hash = "sha256:7a59533c22af65439b24bbe60373a4e95af8f16ac65a6c00820ad378e3f7cc83"}, {file = "jupyter-1.1.1.tar.gz", hash = "sha256:d55467bceabdea49d7e3624af7e33d59c37fff53ed3a350e1ac957bed731de7a"}, @@ -1929,6 +2014,7 @@ version = "8.6.3" description = "Jupyter protocol implementation and client libraries" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "jupyter_client-8.6.3-py3-none-any.whl", hash = "sha256:e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f"}, {file = "jupyter_client-8.6.3.tar.gz", hash = "sha256:35b3a0947c4a6e9d589eb97d7d4cd5e90f910ee73101611f01283732bd6d9419"}, @@ -1943,7 +2029,7 @@ traitlets = ">=5.3" [package.extras] docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] +test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko ; sys_platform == \"win32\"", "pre-commit", "pytest (<8.2.0)", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] [[package]] name = "jupyter-console" @@ -1951,6 +2037,7 @@ version = "6.6.3" description = "Jupyter terminal console" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "jupyter_console-6.6.3-py3-none-any.whl", hash = "sha256:309d33409fcc92ffdad25f0bcdf9a4a9daa61b6f341177570fdac03de5352485"}, {file = "jupyter_console-6.6.3.tar.gz", hash = "sha256:566a4bf31c87adbfadf22cdf846e3069b59a71ed5da71d6ba4d8aaad14a53539"}, @@ -1975,6 +2062,7 @@ version = "5.8.1" description = "Jupyter core package. A base package on which Jupyter projects rely." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "jupyter_core-5.8.1-py3-none-any.whl", hash = "sha256:c28d268fc90fb53f1338ded2eb410704c5449a358406e8a948b75706e24863d0"}, {file = "jupyter_core-5.8.1.tar.gz", hash = "sha256:0a5f9706f70e64786b75acba995988915ebd4601c8a52e534a40b51c95f59941"}, @@ -1995,6 +2083,7 @@ version = "0.12.0" description = "Jupyter Event System library" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "jupyter_events-0.12.0-py3-none-any.whl", hash = "sha256:6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb"}, {file = "jupyter_events-0.12.0.tar.gz", hash = "sha256:fc3fce98865f6784c9cd0a56a20644fc6098f21c8c33834a8d9fe383c17e554b"}, @@ -2021,6 +2110,7 @@ version = "2.2.5" description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "jupyter-lsp-2.2.5.tar.gz", hash = "sha256:793147a05ad446f809fd53ef1cd19a9f5256fd0a2d6b7ce943a982cb4f545001"}, {file = "jupyter_lsp-2.2.5-py3-none-any.whl", hash = "sha256:45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da"}, @@ -2035,6 +2125,7 @@ version = "2.16.0" description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "jupyter_server-2.16.0-py3-none-any.whl", hash = "sha256:3d8db5be3bc64403b1c65b400a1d7f4647a5ce743f3b20dbdefe8ddb7b55af9e"}, {file = "jupyter_server-2.16.0.tar.gz", hash = "sha256:65d4b44fdf2dcbbdfe0aa1ace4a842d4aaf746a2b7b168134d5aaed35621b7f6"}, @@ -2071,6 +2162,7 @@ version = "0.5.3" description = "A Jupyter Server Extension Providing Terminals." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "jupyter_server_terminals-0.5.3-py3-none-any.whl", hash = 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"sha256:721aca4d9029252b11cfa9d185e5b5af4d54772bb8072f9b7036f4170054d35d"}, @@ -2135,6 +2229,7 @@ version = "2.27.3" description = "A set of server components for JupyterLab and JupyterLab like applications." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "jupyterlab_server-2.27.3-py3-none-any.whl", hash = "sha256:e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4"}, {file = "jupyterlab_server-2.27.3.tar.gz", hash = "sha256:eb36caca59e74471988f0ae25c77945610b887f777255aa21f8065def9e51ed4"}, @@ -2160,6 +2255,7 @@ version = "3.0.15" description = "Jupyter interactive widgets for JupyterLab" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "jupyterlab_widgets-3.0.15-py3-none-any.whl", hash = "sha256:d59023d7d7ef71400d51e6fee9a88867f6e65e10a4201605d2d7f3e8f012a31c"}, {file = "jupyterlab_widgets-3.0.15.tar.gz", hash = "sha256:2920888a0c2922351a9202817957a68c07d99673504d6cd37345299e971bb08b"}, @@ -2171,6 +2267,7 @@ version = "1.17.1" description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "jupytext-1.17.1-py3-none-any.whl", hash = "sha256:99145b1e1fa96520c21ba157de7d354ffa4904724dcebdcd70b8413688a312de"}, {file = "jupytext-1.17.1.tar.gz", hash = "sha256:c02fda8af76ffd6e064a04cf2d3cc8aae242b2f0e38c42b4cd80baf89c3325d3"}, @@ -2200,6 +2297,7 @@ version = "1.4.8" description = "A fast implementation of the Cassowary constraint solver" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88c6f252f6816a73b1f8c904f7bbe02fd67c09a69f7cb8a0eecdbf5ce78e63db"}, {file = "kiwisolver-1.4.8-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c72941acb7b67138f35b879bbe85be0f6c6a70cab78fe3ef6db9c024d9223e5b"}, @@ -2289,6 +2387,7 @@ version = "0.17.0" description = "lancedb" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "lancedb-0.17.0-cp39-abi3-macosx_10_15_x86_64.whl", hash = "sha256:40aac1583edda390e51189c4e95bdfd4768d23705234e12a7b81957f1143df42"}, {file = "lancedb-0.17.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:895bed499dae61cac1dbfc40ad71a566e06ab5c8d538aa57873a0cba859f8a7a"}, @@ -2320,6 +2419,7 @@ version = "3.5.0" description = "Tools for labeling human languages with IETF language tags" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "langcodes-3.5.0-py3-none-any.whl", hash = "sha256:853c69d1a35e0e13da2f427bb68fb2fa4a8f4fb899e0c62ad8df8d073dcfed33"}, {file = "langcodes-3.5.0.tar.gz", hash = "sha256:1eef8168d07e51e131a2497ffecad4b663f6208e7c3ae3b8dc15c51734a6f801"}, @@ -2338,6 +2438,7 @@ version = "1.3.0" description = "Supplementary data about languages used by the langcodes module" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "language_data-1.3.0-py3-none-any.whl", hash = "sha256:e2ee943551b5ae5f89cd0e801d1fc3835bb0ef5b7e9c3a4e8e17b2b214548fbf"}, {file = "language_data-1.3.0.tar.gz", hash = "sha256:7600ef8aa39555145d06c89f0c324bf7dab834ea0b0a439d8243762e3ebad7ec"}, @@ -2356,6 +2457,7 @@ version = "0.44.0" description = "lightweight wrapper around basic LLVM functionality" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "llvmlite-0.44.0-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:9fbadbfba8422123bab5535b293da1cf72f9f478a65645ecd73e781f962ca614"}, {file = "llvmlite-0.44.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cccf8eb28f24840f2689fb1a45f9c0f7e582dd24e088dcf96e424834af11f791"}, @@ -2386,6 +2488,7 @@ version = "1.2.1" description = "Static memory-efficient and fast Trie-like structures for Python." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "marisa_trie-1.2.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a2eb41d2f9114d8b7bd66772c237111e00d2bae2260824560eaa0a1e291ce9e8"}, {file = "marisa_trie-1.2.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9e956e6a46f604b17d570901e66f5214fb6f658c21e5e7665deace236793cef6"}, @@ -2477,6 +2580,7 @@ version = "3.8" description = "Python implementation of John Gruber's Markdown." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "markdown-3.8-py3-none-any.whl", hash = "sha256:794a929b79c5af141ef5ab0f2f642d0f7b1872981250230e72682346f7cc90dc"}, {file = "markdown-3.8.tar.gz", hash = "sha256:7df81e63f0df5c4b24b7d156eb81e4690595239b7d70937d0409f1b0de319c6f"}, @@ -2492,6 +2596,7 @@ version = "3.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "markdown-it-py-3.0.0.tar.gz", hash = "sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"}, {file = "markdown_it_py-3.0.0-py3-none-any.whl", hash = "sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"}, @@ -2516,6 +2621,7 @@ version = "3.0.2" description = "Safely add untrusted strings to HTML/XML markup." optional = false python-versions = ">=3.9" +groups = ["main", "dev"] files = [ {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:7e94c425039cde14257288fd61dcfb01963e658efbc0ff54f5306b06054700f8"}, {file = "MarkupSafe-3.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9e2d922824181480953426608b81967de705c3cef4d1af983af849d7bd619158"}, @@ -2586,6 +2692,7 @@ version = "4.0.0" description = "A lightweight library for converting complex datatypes to and from native Python datatypes." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "marshmallow-4.0.0-py3-none-any.whl", hash = "sha256:e7b0528337e9990fd64950f8a6b3a1baabed09ad17a0dfb844d701151f92d203"}, {file = "marshmallow-4.0.0.tar.gz", hash = "sha256:3b6e80aac299a7935cfb97ed01d1854fb90b5079430969af92118ea1b12a8d55"}, @@ -2606,6 +2713,7 @@ version = "3.10.3" description = "Python plotting package" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "matplotlib-3.10.3-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:213fadd6348d106ca7db99e113f1bea1e65e383c3ba76e8556ba4a3054b65ae7"}, {file = "matplotlib-3.10.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d3bec61cb8221f0ca6313889308326e7bb303d0d302c5cc9e523b2f2e6c73deb"}, @@ -2663,6 +2771,7 @@ version = "0.1.7" description = "Inline Matplotlib backend for Jupyter" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"}, {file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"}, @@ -2677,6 +2786,7 @@ version = "0.4.2" description = "Collection of plugins for markdown-it-py" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "mdit_py_plugins-0.4.2-py3-none-any.whl", hash = "sha256:0c673c3f889399a33b95e88d2f0d111b4447bdfea7f237dab2d488f459835636"}, {file = "mdit_py_plugins-0.4.2.tar.gz", hash = "sha256:5f2cd1fdb606ddf152d37ec30e46101a60512bc0e5fa1a7002c36647b09e26b5"}, @@ -2696,6 +2806,7 @@ version = "0.1.2" description = "Markdown URL utilities" optional = false python-versions = ">=3.7" +groups = ["main", "dev"] files = [ {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, @@ -2707,6 +2818,7 @@ version = "1.3.4" description = "A deep merge function for 🐍." optional = false python-versions = ">=3.6" +groups = ["dev"] files = [ {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"}, {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"}, @@ -2718,6 +2830,7 @@ version = "3.1.3" description = "A sane and fast Markdown parser with useful plugins and renderers" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "mistune-3.1.3-py3-none-any.whl", hash = "sha256:1a32314113cff28aa6432e99e522677c8587fd83e3d51c29b82a52409c842bd9"}, {file = "mistune-3.1.3.tar.gz", hash = "sha256:a7035c21782b2becb6be62f8f25d3df81ccb4d6fa477a6525b15af06539f02a0"}, @@ -2732,6 +2845,7 @@ version = "1.6.1" description = "Project documentation with Markdown." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "mkdocs-1.6.1-py3-none-any.whl", hash = "sha256:db91759624d1647f3f34aa0c3f327dd2601beae39a366d6e064c03468d35c20e"}, {file = "mkdocs-1.6.1.tar.gz", hash = "sha256:7b432f01d928c084353ab39c57282f29f92136665bdd6abf7c1ec8d822ef86f2"}, @@ -2754,7 +2868,7 @@ watchdog = ">=2.0" [package.extras] i18n = ["babel (>=2.9.0)"] -min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.4)", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"] +min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4) ; platform_system == \"Windows\"", "ghp-import (==1.0)", "importlib-metadata (==4.4) ; python_version < \"3.10\"", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"] [[package]] name = "mkdocs-exclude-search" @@ -2762,6 +2876,7 @@ version = "0.6.6" description = "A mkdocs plugin that lets you exclude selected files or sections from the search index." optional = false python-versions = ">=3.6" +groups = ["dev"] files = [ {file = "mkdocs-exclude-search-0.6.6.tar.gz", hash = "sha256:3cdff1b9afdc1b227019cd1e124f401453235b92153d60c0e5e651a76be4f044"}, {file = "mkdocs_exclude_search-0.6.6-py3-none-any.whl", hash = "sha256:2b4b941d1689808db533fe4a6afba75ce76c9bab8b21d4e31efc05fd8c4e0a4f"}, @@ -2776,6 +2891,7 @@ version = "0.2.0" description = "MkDocs extension that lists all dependencies according to a mkdocs.yml file" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "mkdocs_get_deps-0.2.0-py3-none-any.whl", hash = "sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134"}, {file = "mkdocs_get_deps-0.2.0.tar.gz", hash = "sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c"}, @@ -2792,6 +2908,7 @@ version = "0.25.1" description = "Use Jupyter in mkdocs websites" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "mkdocs_jupyter-0.25.1-py3-none-any.whl", hash = "sha256:3f679a857609885d322880e72533ef5255561bbfdb13cfee2a1e92ef4d4ad8d8"}, {file = "mkdocs_jupyter-0.25.1.tar.gz", hash = "sha256:0e9272ff4947e0ec683c92423a4bfb42a26477c103ab1a6ab8277e2dcc8f7afe"}, @@ -2811,6 +2928,7 @@ version = "9.6.14" description = "Documentation that simply works" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "mkdocs_material-9.6.14-py3-none-any.whl", hash = "sha256:3b9cee6d3688551bf7a8e8f41afda97a3c39a12f0325436d76c86706114b721b"}, {file = "mkdocs_material-9.6.14.tar.gz", hash = "sha256:39d795e90dce6b531387c255bd07e866e027828b7346d3eba5ac3de265053754"}, @@ -2840,6 +2958,7 @@ version = "1.3.1" description = "Extension pack for Python Markdown and MkDocs Material." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "mkdocs_material_extensions-1.3.1-py3-none-any.whl", hash = "sha256:adff8b62700b25cb77b53358dad940f3ef973dd6db797907c49e3c2ef3ab4e31"}, {file = "mkdocs_material_extensions-1.3.1.tar.gz", hash = "sha256:10c9511cea88f568257f960358a467d12b970e1f7b2c0e5fb2bb48cab1928443"}, @@ -2851,6 +2970,7 @@ version = "0.0.3" description = "An MkDocs extension to generate documentation for Typer command line applications" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "mkdocs_typer-0.0.3-py3-none-any.whl", hash = "sha256:b2a9a44da590a7100114fde4de9123fedfea692d229379984db20ee3b3f12d7c"}, {file = "mkdocs_typer-0.0.3.tar.gz", hash = "sha256:4dd37f024190a82aaf0f6c984faafb15167d34eab7e29a6a85e61362423a4eb7"}, @@ -2866,6 +2986,7 @@ version = "1.32.3" description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "msal-1.32.3-py3-none-any.whl", hash = "sha256:b2798db57760b1961b142f027ffb7c8169536bf77316e99a0df5c4aaebb11569"}, {file = "msal-1.32.3.tar.gz", hash = "sha256:5eea038689c78a5a70ca8ecbe1245458b55a857bd096efb6989c69ba15985d35"}, @@ -2877,7 +2998,7 @@ PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]} requests = ">=2.0.0,<3" [package.extras] -broker = ["pymsalruntime (>=0.14,<0.18)", "pymsalruntime (>=0.17,<0.18)"] +broker = ["pymsalruntime (>=0.14,<0.18) ; python_version >= \"3.6\" and platform_system == \"Windows\"", "pymsalruntime (>=0.17,<0.18) ; python_version >= \"3.8\" and platform_system == \"Darwin\""] [[package]] name = "msal-extensions" @@ -2885,6 +3006,7 @@ version = "1.3.1" description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "msal_extensions-1.3.1-py3-none-any.whl", hash = "sha256:96d3de4d034504e969ac5e85bae8106c8373b5c6568e4c8fa7af2eca9dbe6bca"}, {file = "msal_extensions-1.3.1.tar.gz", hash = "sha256:c5b0fd10f65ef62b5f1d62f4251d51cbcaf003fcedae8c91b040a488614be1a4"}, @@ -2902,6 +3024,7 @@ version = "1.0.13" description = "Cython bindings for MurmurHash" optional = false python-versions = "<3.14,>=3.6" +groups = ["main"] files = [ {file = "murmurhash-1.0.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:136c7017e7d59ef16f065c2285bf5d30557ad8260adf47714c3c2802725e3e07"}, {file = "murmurhash-1.0.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d0292f6fcd99361157fafad5c86d508f367931b7699cce1e14747364596950cb"}, @@ -2947,6 +3070,7 @@ version = "0.10.2" description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." optional = false python-versions = ">=3.9.0" +groups = ["dev"] files = [ {file = "nbclient-0.10.2-py3-none-any.whl", hash = "sha256:4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d"}, {file = "nbclient-0.10.2.tar.gz", hash = "sha256:90b7fc6b810630db87a6d0c2250b1f0ab4cf4d3c27a299b0cde78a4ed3fd9193"}, @@ -2969,6 +3093,7 @@ version = "7.16.6" description = "Converting Jupyter Notebooks (.ipynb files) to other formats. Output formats include asciidoc, html, latex, markdown, pdf, py, rst, script. nbconvert can be used both as a Python library (`import nbconvert`) or as a command line tool (invoked as `jupyter nbconvert ...`)." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "nbconvert-7.16.6-py3-none-any.whl", hash = "sha256:1375a7b67e0c2883678c48e506dc320febb57685e5ee67faa51b18a90f3a712b"}, {file = "nbconvert-7.16.6.tar.gz", hash = "sha256:576a7e37c6480da7b8465eefa66c17844243816ce1ccc372633c6b71c3c0f582"}, @@ -3005,6 +3130,7 @@ version = "5.10.4" description = "The Jupyter Notebook format" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "nbformat-5.10.4-py3-none-any.whl", hash = "sha256:3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b"}, {file = "nbformat-5.10.4.tar.gz", hash = "sha256:322168b14f937a5d11362988ecac2a4952d3d8e3a2cbeb2319584631226d5b3a"}, @@ -3026,6 +3152,7 @@ version = "1.6.0" description = "Patch asyncio to allow nested event loops" optional = false python-versions = ">=3.5" +groups = ["dev"] files = [ {file = "nest_asyncio-1.6.0-py3-none-any.whl", hash = "sha256:87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c"}, {file = "nest_asyncio-1.6.0.tar.gz", hash = "sha256:6f172d5449aca15afd6c646851f4e31e02c598d553a667e38cafa997cfec55fe"}, @@ -3037,6 +3164,7 @@ version = "3.4.2" description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "networkx-3.4.2-py3-none-any.whl", hash = "sha256:df5d4365b724cf81b8c6a7312509d0c22386097011ad1abe274afd5e9d3bbc5f"}, {file = "networkx-3.4.2.tar.gz", hash = "sha256:307c3669428c5362aab27c8a1260aa8f47c4e91d3891f48be0141738d8d053e1"}, @@ -3056,6 +3184,7 @@ version = "3.9.1" description = "Natural Language Toolkit" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "nltk-3.9.1-py3-none-any.whl", hash = "sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"}, {file = "nltk-3.9.1.tar.gz", hash = "sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"}, @@ -3081,6 +3210,7 @@ version = "1.9.1" description = "Node.js virtual environment builder" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +groups = ["dev"] files = [ {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"}, {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"}, @@ -3092,6 +3222,7 @@ version = "7.4.3" description = "Jupyter Notebook - A web-based notebook environment for interactive computing" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "notebook-7.4.3-py3-none-any.whl", hash = "sha256:9cdeee954e04101cadb195d90e2ab62b7c9286c1d4f858bf3bb54e40df16c0c3"}, {file = "notebook-7.4.3.tar.gz", hash = "sha256:a1567481cd3853f2610ee0ecf5dfa12bb508e878ee8f92152c134ef7f0568a76"}, @@ -3107,7 +3238,7 @@ tornado = ">=6.2.0" [package.extras] dev = ["hatch", "pre-commit"] docs = ["myst-parser", "nbsphinx", "pydata-sphinx-theme", "sphinx (>=1.3.6)", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.27.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"] +test = ["importlib-resources (>=5.0) ; python_version < \"3.10\"", "ipykernel", "jupyter-server[test] (>=2.4.0,<3)", "jupyterlab-server[test] (>=2.27.1,<3)", "nbval", "pytest (>=7.0)", "pytest-console-scripts", "pytest-timeout", "pytest-tornasync", "requests"] [[package]] name = "notebook-shim" @@ -3115,6 +3246,7 @@ version = "0.2.4" description = "A shim layer for notebook traits and config" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "notebook_shim-0.2.4-py3-none-any.whl", hash = "sha256:411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef"}, {file = "notebook_shim-0.2.4.tar.gz", hash = "sha256:b4b2cfa1b65d98307ca24361f5b30fe785b53c3fd07b7a47e89acb5e6ac638cb"}, @@ -3132,6 +3264,7 @@ version = "0.61.2" description = "compiling Python code using LLVM" optional = false python-versions = ">=3.10" +groups = ["main"] files = [ {file = "numba-0.61.2-cp310-cp310-macosx_10_14_x86_64.whl", hash = "sha256:cf9f9fc00d6eca0c23fc840817ce9f439b9f03c8f03d6246c0e7f0cb15b7162a"}, {file = "numba-0.61.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ea0247617edcb5dd61f6106a56255baab031acc4257bddaeddb3a1003b4ca3fd"}, @@ -3166,6 +3299,7 @@ version = "1.26.4" description = "Fundamental package for array computing in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"}, {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"}, @@ -3211,6 +3345,7 @@ version = "1.82.1" description = "The official Python library for the openai API" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "openai-1.82.1-py3-none-any.whl", hash = "sha256:334eb5006edf59aa464c9e932b9d137468d810b2659e5daea9b3a8c39d052395"}, {file = "openai-1.82.1.tar.gz", hash = "sha256:ffc529680018e0417acac85f926f92aa0bbcbc26e82e2621087303c66bc7f95d"}, @@ -3237,6 +3372,7 @@ version = "7.7.0" description = "A decorator to automatically detect mismatch when overriding a method." optional = false python-versions = ">=3.6" +groups = ["main", "dev"] files = [ {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"}, {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"}, @@ -3248,6 +3384,7 @@ version = "25.0" description = "Core utilities for Python packages" optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "packaging-25.0-py3-none-any.whl", hash = "sha256:29572ef2b1f17581046b3a2227d5c611fb25ec70ca1ba8554b24b0e69331a484"}, {file = "packaging-25.0.tar.gz", hash = "sha256:d443872c98d677bf60f6a1f2f8c1cb748e8fe762d2bf9d3148b5599295b0fc4f"}, @@ -3259,6 +3396,7 @@ version = "0.5.7" description = "Divides large result sets into pages for easier browsing" optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "paginate-0.5.7-py2.py3-none-any.whl", hash = "sha256:b885e2af73abcf01d9559fd5216b57ef722f8c42affbb63942377668e35c7591"}, {file = "paginate-0.5.7.tar.gz", hash = "sha256:22bd083ab41e1a8b4f3690544afb2c60c25e5c9a63a30fa2f483f6c60c8e5945"}, @@ -3274,6 +3412,7 @@ version = "2.2.3" description = "Powerful data structures for data analysis, time series, and statistics" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"}, {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"}, @@ -3360,6 +3499,7 @@ version = "1.5.1" description = "Utilities for writing pandoc filters in python" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +groups = ["dev"] files = [ {file = "pandocfilters-1.5.1-py2.py3-none-any.whl", hash = "sha256:93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc"}, {file = "pandocfilters-1.5.1.tar.gz", hash = "sha256:002b4a555ee4ebc03f8b66307e287fa492e4a77b4ea14d3f934328297bb4939e"}, @@ -3371,6 +3511,7 @@ version = "0.8.4" description = "A Python Parser" optional = false python-versions = ">=3.6" +groups = ["dev"] files = [ {file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"}, {file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"}, @@ -3386,6 +3527,7 @@ version = "0.2.1" description = "Bring colors to your terminal." optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +groups = ["dev"] files = [ {file = "pastel-0.2.1-py2.py3-none-any.whl", hash = "sha256:4349225fcdf6c2bb34d483e523475de5bb04a5c10ef711263452cb37d7dd4364"}, {file = "pastel-0.2.1.tar.gz", hash = "sha256:e6581ac04e973cac858828c6202c1e1e81fee1dc7de7683f3e1ffe0bfd8a573d"}, @@ -3397,6 +3539,7 @@ version = "0.12.1" description = "Utility library for gitignore style pattern matching of file paths." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "pathspec-0.12.1-py3-none-any.whl", hash = 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"sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"}, @@ -3439,6 +3585,7 @@ version = "11.2.1" description = "Python Imaging Library (Fork)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pillow-11.2.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:d57a75d53922fc20c165016a20d9c44f73305e67c351bbc60d1adaf662e74047"}, {file = "pillow-11.2.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:127bf6ac4a5b58b3d32fc8289656f77f80567d65660bc46f72c0d77e6600cc95"}, @@ -3529,7 +3676,7 @@ fpx = ["olefile"] mic = ["olefile"] test-arrow = ["pyarrow"] tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"] -typing = ["typing-extensions"] +typing = ["typing-extensions ; python_version < \"3.10\""] xmp = ["defusedxml"] [[package]] @@ -3538,6 +3685,7 @@ version = "4.3.8" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "platformdirs-4.3.8-py3-none-any.whl", hash = "sha256:ff7059bb7eb1179e2685604f4aaf157cfd9535242bd23742eadc3c13542139b4"}, {file = "platformdirs-4.3.8.tar.gz", hash = "sha256:3d512d96e16bcb959a814c9f348431070822a6496326a4be0911c40b5a74c2bc"}, @@ -3554,6 +3702,7 @@ version = "1.6.0" description = "plugin and hook calling mechanisms for python" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "pluggy-1.6.0-py3-none-any.whl", hash = "sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746"}, {file = "pluggy-1.6.0.tar.gz", hash = "sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3"}, @@ -3569,6 +3718,7 @@ version = "0.31.1" description = "A task runner that works well with poetry." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "poethepoet-0.31.1-py3-none-any.whl", hash = "sha256:7fdfa0ac6074be9936723e7231b5bfaad2923e96c674a9857e81d326cf8ccdc2"}, {file = "poethepoet-0.31.1.tar.gz", hash = "sha256:d6b66074edf85daf115bb916eae0afd6387d19e1562e1c9ef7d61d5c585696aa"}, @@ -3588,6 +3738,7 @@ version = "0.9.5" description = "Python Optimal Transport Library" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "POT-0.9.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:34d766c38e65a69c087b01a854fe89fbd152c3e8af93da2227b6c40aed6d37b9"}, {file = "POT-0.9.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5407377256de11b6fdc94bbba9b50ea5a2301570905fc9014541cc8473806d9"}, @@ -3652,6 +3803,7 @@ version = "3.0.10" description = "Cython hash table that trusts the keys are pre-hashed" optional = false python-versions = "<3.14,>=3.6" +groups = ["main"] files = [ {file = "preshed-3.0.10-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:14593c32e6705fda0fd54684293ca079530418bb1fb036dcbaa6c0ef0f144b7d"}, {file = "preshed-3.0.10-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ba1960a3996678aded882260133853e19e3a251d9f35a19c9d7d830c4238c4eb"}, @@ -3701,6 +3853,7 @@ version = "0.22.0" description = "Python client for the Prometheus monitoring system." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "prometheus_client-0.22.0-py3-none-any.whl", hash = "sha256:c8951bbe64e62b96cd8e8f5d917279d1b9b91ab766793f33d4dce6c228558713"}, {file = "prometheus_client-0.22.0.tar.gz", hash = "sha256:18da1d2241ac2d10c8d2110f13eedcd5c7c0c8af18c926e8731f04fc10cd575c"}, @@ -3715,6 +3868,7 @@ version = "3.0.51" description = "Library for building powerful interactive command lines in Python" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "prompt_toolkit-3.0.51-py3-none-any.whl", hash = "sha256:52742911fde84e2d423e2f9a4cf1de7d7ac4e51958f648d9540e0fb8db077b07"}, {file = "prompt_toolkit-3.0.51.tar.gz", hash = "sha256:931a162e3b27fc90c86f1b48bb1fb2c528c2761475e57c9c06de13311c7b54ed"}, @@ -3729,6 +3883,7 @@ version = "7.0.0" description = "Cross-platform lib for process and system monitoring in Python. NOTE: the syntax of this script MUST be kept compatible with Python 2.7." optional = false python-versions = ">=3.6" +groups = ["dev"] files = [ {file = "psutil-7.0.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:101d71dc322e3cffd7cea0650b09b3d08b8e7c4109dd6809fe452dfd00e58b25"}, {file = "psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:39db632f6bb862eeccf56660871433e111b6ea58f2caea825571951d4b6aa3da"}, @@ -3752,6 +3907,8 @@ version = "0.7.0" description = "Run a subprocess in a pseudo terminal" optional = false python-versions = "*" +groups = ["dev"] +markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" or os_name != \"nt\"" files = [ {file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"}, {file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"}, @@ -3763,6 +3920,7 @@ version = "0.2.3" description = "Safely evaluate AST nodes without side effects" optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"}, {file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"}, @@ -3777,6 +3935,7 @@ version = "20.0.0" description = "Python library for Apache Arrow" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pyarrow-20.0.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:c7dd06fd7d7b410ca5dc839cc9d485d2bc4ae5240851bcd45d85105cc90a47d7"}, {file = "pyarrow-20.0.0-cp310-cp310-macosx_12_0_x86_64.whl", hash = "sha256:d5382de8dc34c943249b01c19110783d0d64b207167c728461add1ecc2db88e4"}, @@ -3844,10 +4003,12 @@ version = "2.22" description = "C parser in Python" optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"}, {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"}, ] +markers = {main = "platform_python_implementation != \"PyPy\""} [[package]] name = "pydantic" @@ -3855,6 +4016,7 @@ version = "2.11.5" description = "Data validation using Python type hints" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pydantic-2.11.5-py3-none-any.whl", hash = "sha256:f9c26ba06f9747749ca1e5c94d6a85cb84254577553c8785576fd38fa64dc0f7"}, {file = "pydantic-2.11.5.tar.gz", hash = "sha256:7f853db3d0ce78ce8bbb148c401c2cdd6431b3473c0cdff2755c7690952a7b7a"}, @@ -3868,7 +4030,7 @@ typing-inspection = ">=0.4.0" [package.extras] email = ["email-validator (>=2.0.0)"] -timezone = ["tzdata"] +timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""] [[package]] name = "pydantic-core" @@ -3876,6 +4038,7 @@ version = "2.33.2" description = "Core functionality for Pydantic validation and serialization" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pydantic_core-2.33.2-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:2b3d326aaef0c0399d9afffeb6367d5e26ddc24d351dbc9c636840ac355dc5d8"}, {file = "pydantic_core-2.33.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0e5b2671f05ba48b94cb90ce55d8bdcaaedb8ba00cc5359f6810fc918713983d"}, @@ -3987,6 +4150,7 @@ version = "2.19.1" description = "Pygments is a syntax highlighting package written in Python." optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"}, {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"}, @@ -4001,6 +4165,7 @@ version = "2.10.1" description = "JSON Web Token implementation in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "PyJWT-2.10.1-py3-none-any.whl", hash = "sha256:dcdd193e30abefd5debf142f9adfcdd2b58004e644f25406ffaebd50bd98dacb"}, {file = "pyjwt-2.10.1.tar.gz", hash = "sha256:3cc5772eb20009233caf06e9d8a0577824723b44e6648ee0a2aedb6cf9381953"}, @@ -4021,6 +4186,7 @@ version = "0.20.0" description = "python wrapper for Lance columnar format" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pylance-0.20.0-cp39-abi3-macosx_10_15_x86_64.whl", hash = "sha256:fbb640b00567ff79d23a5994c0f0bc97587fcf74ece6ca568e77c453f70801c5"}, {file = "pylance-0.20.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:c8e30f1b6429b843429fde8f3d6fb7e715153174161e3bcf29902e2d32ee471f"}, @@ -4039,7 +4205,7 @@ benchmarks = ["pytest-benchmark"] cuvs-cu11 = ["cuvs-cu11", "pylibraft-cu11"] cuvs-cu12 = ["cuvs-cu12", "pylibraft-cu12"] dev = ["ruff (==0.4.1)"] -ray = ["ray[data] (<2.38)"] +ray = ["ray[data] (<2.38) ; python_version < \"3.12\""] tests = ["boto3", "datasets", "duckdb", "ml-dtypes", "pandas", "pillow", "polars[pandas,pyarrow]", "pytest", "tensorflow", "tqdm"] torch = ["torch"] @@ -4049,6 +4215,7 @@ version = "10.15" description = "Extension pack for Python Markdown." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "pymdown_extensions-10.15-py3-none-any.whl", hash = "sha256:46e99bb272612b0de3b7e7caf6da8dd5f4ca5212c0b273feb9304e236c484e5f"}, {file = "pymdown_extensions-10.15.tar.gz", hash = "sha256:0e5994e32155f4b03504f939e501b981d306daf7ec2aa1cd2eb6bd300784f8f7"}, @@ -4067,6 +4234,7 @@ version = "0.5.13" description = "Nearest Neighbor Descent" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "pynndescent-0.5.13-py3-none-any.whl", hash = "sha256:69aabb8f394bc631b6ac475a1c7f3994c54adf3f51cd63b2730fefba5771b949"}, {file = "pynndescent-0.5.13.tar.gz", hash = "sha256:d74254c0ee0a1eeec84597d5fe89fedcf778593eeabe32c2f97412934a9800fb"}, @@ -4085,6 +4253,7 @@ version = "3.2.3" description = "pyparsing module - Classes and methods to define and execute parsing grammars" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "pyparsing-3.2.3-py3-none-any.whl", hash = "sha256:a749938e02d6fd0b59b356ca504a24982314bb090c383e3cf201c95ef7e2bfcf"}, {file = "pyparsing-3.2.3.tar.gz", hash = "sha256:b9c13f1ab8b3b542f72e28f634bad4de758ab3ce4546e4301970ad6fa77c38be"}, @@ -4099,6 +4268,7 @@ version = "1.1.401" description = "Command line wrapper for pyright" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "pyright-1.1.401-py3-none-any.whl", hash = "sha256:6fde30492ba5b0d7667c16ecaf6c699fab8d7a1263f6a18549e0b00bf7724c06"}, {file = "pyright-1.1.401.tar.gz", hash = "sha256:788a82b6611fa5e34a326a921d86d898768cddf59edde8e93e56087d277cc6f1"}, @@ -4119,6 +4289,7 @@ version = "8.3.5" description = "pytest: simple powerful testing with Python" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "pytest-8.3.5-py3-none-any.whl", hash = "sha256:c69214aa47deac29fad6c2a4f590b9c4a9fdb16a403176fe154b79c0b4d4d820"}, {file = "pytest-8.3.5.tar.gz", hash = "sha256:f4efe70cc14e511565ac476b57c279e12a855b11f48f212af1080ef2263d3845"}, @@ -4141,6 +4312,7 @@ version = "0.24.0" description = "Pytest support for asyncio" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "pytest_asyncio-0.24.0-py3-none-any.whl", hash = "sha256:a811296ed596b69bf0b6f3dc40f83bcaf341b155a269052d82efa2b25ac7037b"}, {file = "pytest_asyncio-0.24.0.tar.gz", hash = "sha256:d081d828e576d85f875399194281e92bf8a68d60d72d1a2faf2feddb6c46b276"}, @@ -4159,6 +4331,7 @@ version = "0.5.2" description = "A py.test plugin that parses environment files before running tests" optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "pytest-dotenv-0.5.2.tar.gz", hash = "sha256:2dc6c3ac6d8764c71c6d2804e902d0ff810fa19692e95fe138aefc9b1aa73732"}, {file = 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"sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"}, @@ -4202,6 +4377,7 @@ version = "1.1.0" description = "Read key-value pairs from a .env file and set them as environment variables" optional = false python-versions = ">=3.9" +groups = ["main", "dev"] files = [ {file = "python_dotenv-1.1.0-py3-none-any.whl", hash = "sha256:d7c01d9e2293916c18baf562d95698754b0dbbb5e74d457c45d4f6561fb9d55d"}, {file = "python_dotenv-1.1.0.tar.gz", hash = "sha256:41f90bc6f5f177fb41f53e87666db362025010eb28f60a01c9143bfa33a2b2d5"}, @@ -4216,13 +4392,14 @@ version = "3.3.0" description = "JSON Log Formatter for the Python Logging Package" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "python_json_logger-3.3.0-py3-none-any.whl", hash = "sha256:dd980fae8cffb24c13caf6e158d3d61c0d6d22342f932cb6e9deedab3d35eec7"}, {file = "python_json_logger-3.3.0.tar.gz", hash = "sha256:12b7e74b17775e7d565129296105bbe3910842d9d0eb083fc83a6a617aa8df84"}, ] [package.extras] 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"sha256:5ddf76296dd8c44c26eb8f4b6f35488f3ccbf6fbbd7adee0b7262d43f0ec2f00"}, {file = "pytz-2025.2.tar.gz", hash = "sha256:360b9e3dbb49a209c21ad61809c7fb453643e048b38924c765813546746e81c3"}, @@ -4241,6 +4419,8 @@ version = "310" description = "Python for Window Extensions" optional = false python-versions = "*" +groups = ["dev"] +markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\"" files = [ {file = "pywin32-310-cp310-cp310-win32.whl", hash = "sha256:6dd97011efc8bf51d6793a82292419eba2c71cf8e7250cfac03bba284454abc1"}, {file = "pywin32-310-cp310-cp310-win_amd64.whl", hash = "sha256:c3e78706e4229b915a0821941a84e7ef420bf2b77e08c9dae3c76fd03fd2ae3d"}, @@ -4266,6 +4446,8 @@ version = "2.0.15" description = "Pseudo terminal support for Windows from Python." optional = false python-versions = ">=3.9" +groups = ["dev"] +markers = "os_name == \"nt\"" files = [ {file = "pywinpty-2.0.15-cp310-cp310-win_amd64.whl", hash = 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"pyyaml_env_tag-1.1.tar.gz", hash = "sha256:2eb38b75a2d21ee0475d6d97ec19c63287a7e140231e4214969d0eac923cd7ff"}, @@ -4358,6 +4542,7 @@ version = "26.4.0" description = "Python bindings for 0MQ" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "pyzmq-26.4.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:0329bdf83e170ac133f44a233fc651f6ed66ef8e66693b5af7d54f45d1ef5918"}, {file = "pyzmq-26.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:398a825d2dea96227cf6460ce0a174cf7657d6f6827807d4d1ae9d0f9ae64315"}, @@ -4463,6 +4648,7 @@ version = "0.36.2" description = "JSON Referencing + Python" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "referencing-0.36.2-py3-none-any.whl", hash = "sha256:e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0"}, {file = "referencing-0.36.2.tar.gz", hash = "sha256:df2e89862cd09deabbdba16944cc3f10feb6b3e6f18e902f7cc25609a34775aa"}, @@ -4479,6 +4665,7 @@ version = "2024.11.6" description = "Alternative regular expression module, to replace re." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ff590880083d60acc0433f9c3f713c51f7ac6ebb9adf889c79a261ecf541aa91"}, {file = "regex-2024.11.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:658f90550f38270639e83ce492f27d2c8d2cd63805c65a13a14d36ca126753f0"}, @@ -4582,6 +4769,7 @@ version = "2.32.3" description = "Python HTTP for Humans." optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "requests-2.32.3-py3-none-any.whl", hash = "sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6"}, {file = "requests-2.32.3.tar.gz", hash = "sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760"}, @@ -4603,6 +4791,7 @@ version = "0.13.0" description = "This is a small Python module for parsing Pip requirement files." optional = false python-versions = "<4.0,>=3.8" +groups = ["dev"] files = [ {file = "requirements_parser-0.13.0-py3-none-any.whl", hash = "sha256:2b3173faecf19ec5501971b7222d38f04cb45bb9d87d0ad629ca71e2e62ded14"}, {file = "requirements_parser-0.13.0.tar.gz", hash = "sha256:0843119ca2cb2331de4eb31b10d70462e39ace698fd660a915c247d2301a4418"}, @@ -4617,6 +4806,7 @@ version = "0.1.4" description = "A pure python RFC3339 validator" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["dev"] files = [ {file = "rfc3339_validator-0.1.4-py2.py3-none-any.whl", hash = "sha256:24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa"}, {file = "rfc3339_validator-0.1.4.tar.gz", hash = "sha256:138a2abdf93304ad60530167e51d2dfb9549521a836871b88d7f4695d0022f6b"}, @@ -4631,6 +4821,7 @@ version = "0.1.1" description = "Pure python rfc3986 validator" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["dev"] files = [ {file = "rfc3986_validator-0.1.1-py2.py3-none-any.whl", hash = "sha256:2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9"}, {file = "rfc3986_validator-0.1.1.tar.gz", hash = "sha256:3d44bde7921b3b9ec3ae4e3adca370438eccebc676456449b145d533b240d055"}, @@ -4642,6 +4833,7 @@ version = "13.9.4" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" optional = false python-versions = ">=3.8.0" +groups = ["main", "dev"] files = [ {file = "rich-13.9.4-py3-none-any.whl", hash = "sha256:6049d5e6ec054bf2779ab3358186963bac2ea89175919d699e378b99738c2a90"}, {file = "rich-13.9.4.tar.gz", hash = "sha256:439594978a49a09530cff7ebc4b5c7103ef57baf48d5ea3184f21d9a2befa098"}, @@ -4661,6 +4853,7 @@ version = "0.25.1" description = "Python bindings to Rust's persistent data structures (rpds)" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "rpds_py-0.25.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:f4ad628b5174d5315761b67f212774a32f5bad5e61396d38108bd801c0a8f5d9"}, {file = "rpds_py-0.25.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:8c742af695f7525e559c16f1562cf2323db0e3f0fbdcabdf6865b095256b2d40"}, @@ -4787,6 +4980,7 @@ version = "0.8.6" description = "An extremely fast Python linter and code formatter, written in Rust." optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "ruff-0.8.6-py3-none-linux_armv6l.whl", hash = "sha256:defed167955d42c68b407e8f2e6f56ba52520e790aba4ca707a9c88619e580e3"}, {file = "ruff-0.8.6-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:54799ca3d67ae5e0b7a7ac234baa657a9c1784b48ec954a094da7c206e0365b1"}, @@ -4814,6 +5008,7 @@ version = "1.6.1" description = "A set of python modules for machine learning and data mining" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "scikit_learn-1.6.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d056391530ccd1e501056160e3c9673b4da4805eb67eb2bdf4e983e1f9c9204e"}, {file = "scikit_learn-1.6.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:0c8d036eb937dbb568c6242fa598d551d88fb4399c0344d95c001980ec1c7d36"}, @@ -4868,6 +5063,7 @@ version = "1.12.0" description = "Fundamental algorithms for scientific computing in Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "scipy-1.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:78e4402e140879387187f7f25d91cc592b3501a2e51dfb320f48dfb73565f10b"}, {file = "scipy-1.12.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:f5f00ebaf8de24d14b8449981a2842d404152774c1a1d880c901bf454cb8e2a1"}, @@ -4910,6 +5106,7 @@ version = "0.13.2" description = "Statistical data visualization" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "seaborn-0.13.2-py3-none-any.whl", hash = "sha256:636f8336facf092165e27924f223d3c62ca560b1f2bb5dff7ab7fad265361987"}, {file = "seaborn-0.13.2.tar.gz", hash = "sha256:93e60a40988f4d65e9f4885df477e2fdaff6b73a9ded434c1ab356dd57eefff7"}, @@ -4931,6 +5128,7 @@ version = "2.0.6" description = "Manage properly semver in your repository" optional = false python-versions = ">=3.8.0" +groups = ["dev"] files = [ {file = "semversioner-2.0.6-py2.py3-none-any.whl", hash = "sha256:b43cb76118a9cd7b5e122ec25703b93f8cf96cda445f8b881abac362ec2d03f3"}, {file = "semversioner-2.0.6.tar.gz", hash = "sha256:af7cf180c63601880e7de86cdc1fae0dd993339c5911769d9728c583b92af15c"}, @@ -4947,15 +5145,16 @@ version = "1.8.3" description = "Send file to trash natively under Mac OS X, Windows and Linux" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +groups = ["dev"] files = [ {file = "Send2Trash-1.8.3-py3-none-any.whl", hash = "sha256:0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9"}, {file = "Send2Trash-1.8.3.tar.gz", hash = "sha256:b18e7a3966d99871aefeb00cfbcfdced55ce4871194810fc71f4aa484b953abf"}, ] [package.extras] -nativelib = ["pyobjc-framework-Cocoa", "pywin32"] -objc = ["pyobjc-framework-Cocoa"] -win32 = ["pywin32"] +nativelib = ["pyobjc-framework-Cocoa ; sys_platform == \"darwin\"", "pywin32 ; sys_platform == \"win32\""] +objc = ["pyobjc-framework-Cocoa ; sys_platform == \"darwin\""] +win32 = ["pywin32 ; sys_platform == \"win32\""] [[package]] name = "setuptools" @@ -4963,19 +5162,20 @@ version = "80.9.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.9" +groups = ["main", "dev"] files = [ {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"}, {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"}, ] [package.extras] -check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"] -core = ["importlib_metadata (>=6)", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1)", "wheel (>=0.43.0)"] +check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""] +core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"] cover = ["pytest-cov"] doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"] enabler = ["pytest-enabler (>=2.2)"] -test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] -type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"] +test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21) ; python_version >= \"3.9\" and sys_platform != \"cygwin\"", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf ; sys_platform != \"cygwin\"", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"] +type = ["importlib_metadata (>=7.0.2) ; python_version < \"3.10\"", "jaraco.develop (>=7.21) ; sys_platform != \"cygwin\"", "mypy (==1.14.*)", "pytest-mypy"] [[package]] name = "shellingham" @@ -4983,6 +5183,7 @@ version = "1.5.4" description = "Tool to Detect Surrounding Shell" optional = false python-versions = ">=3.7" +groups = ["main", "dev"] files = [ {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, @@ -4994,6 +5195,7 @@ version = "1.17.0" description = "Python 2 and 3 compatibility utilities" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" +groups = ["main", "dev"] files = [ {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"}, {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"}, @@ -5005,6 +5207,7 @@ version = "7.1.0" description = "Utils for streaming large files (S3, HDFS, GCS, Azure Blob Storage, gzip, bz2...)" optional = false python-versions = "<4.0,>=3.7" +groups = ["main"] files = [ {file = "smart_open-7.1.0-py3-none-any.whl", hash = "sha256:4b8489bb6058196258bafe901730c7db0dcf4f083f316e97269c66f45502055b"}, {file = "smart_open-7.1.0.tar.gz", hash = "sha256:a4f09f84f0f6d3637c6543aca7b5487438877a21360e7368ccf1f704789752ba"}, @@ -5030,6 +5233,7 @@ version = "1.3.1" description = "Sniff out which async library your code is running under" optional = false python-versions = ">=3.7" +groups = ["main", "dev"] files = [ {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, @@ -5041,6 +5245,7 @@ version = "2.7" description = "A modern CSS selector implementation for Beautiful Soup." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "soupsieve-2.7-py3-none-any.whl", hash = "sha256:6e60cc5c1ffaf1cebcc12e8188320b72071e922c2e897f737cadce79ad5d30c4"}, {file = "soupsieve-2.7.tar.gz", hash = "sha256:ad282f9b6926286d2ead4750552c8a6142bc4c783fd66b0293547c8fe6ae126a"}, @@ -5052,6 +5257,7 @@ version = "3.8.7" description = "Industrial-strength Natural Language Processing (NLP) in Python" optional = false python-versions = "<3.14,>=3.9" +groups = ["main"] files = [ {file = "spacy-3.8.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6ec0368ce96cd775fb14906f04b771c912ea8393ba30f8b35f9c4dc47a420b8e"}, {file = "spacy-3.8.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5672f8a0fe7a3847e925544890be60015fbf48a60a838803425f82e849dd4f18"}, @@ -5145,6 +5351,7 @@ version = "3.0.12" description = "Legacy registered functions for spaCy backwards compatibility" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "spacy-legacy-3.0.12.tar.gz", hash = "sha256:b37d6e0c9b6e1d7ca1cf5bc7152ab64a4c4671f59c85adaf7a3fcb870357a774"}, {file = "spacy_legacy-3.0.12-py2.py3-none-any.whl", hash = "sha256:476e3bd0d05f8c339ed60f40986c07387c0a71479245d6d0f4298dbd52cda55f"}, @@ -5156,6 +5363,7 @@ version = "1.0.5" description = "Logging utilities for SpaCy" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "spacy-loggers-1.0.5.tar.gz", hash = "sha256:d60b0bdbf915a60e516cc2e653baeff946f0cfc461b452d11a4d5458c6fe5f24"}, {file = "spacy_loggers-1.0.5-py3-none-any.whl", hash = "sha256:196284c9c446cc0cdb944005384270d775fdeaf4f494d8e269466cfa497ef645"}, @@ -5167,6 +5375,7 @@ version = "2.5.1" description = "Modern high-performance serialization utilities for Python" optional = false python-versions = "<3.14,>=3.9" +groups = ["main"] files = [ {file = "srsly-2.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d0cda6f65cc0dd1daf47e856b0d6c5d51db8a9343c5007723ca06903dcfe367d"}, {file = "srsly-2.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cf643e6f45c266cfacea54997a1f9cfe0113fadac1ac21a1ec5b200cfe477ba0"}, @@ -5215,6 +5424,7 @@ version = "0.6.3" description = "Extract data from python stack frames and tracebacks for informative displays" optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"}, {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"}, @@ -5234,6 +5444,7 @@ version = "0.14.4" description = "Statistical computations and models for Python" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "statsmodels-0.14.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:7a62f1fc9086e4b7ee789a6f66b3c0fc82dd8de1edda1522d30901a0aa45e42b"}, {file = "statsmodels-0.14.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:46ac7ddefac0c9b7b607eed1d47d11e26fe92a1bc1f4d9af48aeed4e21e87981"}, @@ -5276,7 +5487,7 @@ scipy = ">=1.8,<1.9.2 || >1.9.2" [package.extras] build = ["cython (>=3.0.10)"] -develop = ["colorama", "cython (>=3.0.10)", "cython (>=3.0.10,<4)", "flake8", "isort", "joblib", "matplotlib (>=3)", "pytest (>=7.3.0,<8)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty", "setuptools-scm[toml] (>=8.0,<9.0)"] +develop = ["colorama", "cython (>=3.0.10)", "cython (>=3.0.10,<4)", "flake8", "isort", "joblib", "matplotlib (>=3)", "pytest (>=7.3.0,<8)", "pytest-cov", "pytest-randomly", "pytest-xdist", "pywinpty ; os_name == \"nt\"", "setuptools-scm[toml] (>=8.0,<9.0)"] docs = ["ipykernel", "jupyter-client", "matplotlib", "nbconvert", "nbformat", "numpydoc", "pandas-datareader", "sphinx"] [[package]] @@ -5285,6 +5496,7 @@ version = "9.1.2" description = "Retry code until it succeeds" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tenacity-9.1.2-py3-none-any.whl", hash = "sha256:f77bf36710d8b73a50b2dd155c97b870017ad21afe6ab300326b0371b3b05138"}, {file = "tenacity-9.1.2.tar.gz", hash = "sha256:1169d376c297e7de388d18b4481760d478b0e99a777cad3a9c86e556f4b697cb"}, @@ -5300,6 +5512,7 @@ version = "0.18.1" description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library." optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "terminado-0.18.1-py3-none-any.whl", hash = "sha256:a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0"}, {file = "terminado-0.18.1.tar.gz", hash = "sha256:de09f2c4b85de4765f7714688fff57d3e75bad1f909b589fde880460c753fd2e"}, @@ -5321,6 +5534,7 @@ version = "0.18.0.post0" description = "Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "textblob-0.18.0.post0-py3-none-any.whl", hash = "sha256:dd0c7ec4eb7b9346ec0a3f136a63eba13e0f59890d2a693d3d6aeb8371949dca"}, {file = "textblob-0.18.0.post0.tar.gz", hash = "sha256:8131c52c630bcdf61d04c359f939c98d5b836a01fba224d9e7ae22fc274e0ccb"}, @@ -5340,6 +5554,7 @@ version = "8.3.4" description = "A refreshing functional take on deep learning, compatible with your favorite libraries" optional = false python-versions = "<3.13,>=3.9" +groups = ["main"] files = [ {file = "thinc-8.3.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:916ea79a7c7462664be9435679b7769b4fc1ecea3886db6da6118e4eb5cc8c8b"}, {file = "thinc-8.3.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6c985ce9cf82a611f4f348c721372d073537ca0e8b7bbb8bd865c1598ddd79d1"}, @@ -5410,6 +5625,7 @@ version = "3.6.0" description = "threadpoolctl" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "threadpoolctl-3.6.0-py3-none-any.whl", hash = "sha256:43a0b8fd5a2928500110039e43a5eed8480b918967083ea48dc3ab9f13c4a7fb"}, {file = "threadpoolctl-3.6.0.tar.gz", hash = "sha256:8ab8b4aa3491d812b623328249fab5302a68d2d71745c8a4c719a2fcaba9f44e"}, @@ -5421,6 +5637,7 @@ version = "0.9.0" description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "tiktoken-0.9.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:586c16358138b96ea804c034b8acf3f5d3f0258bd2bc3b0227af4af5d622e382"}, {file = "tiktoken-0.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d9c59ccc528c6c5dd51820b3474402f69d9a9e1d656226848ad68a8d5b2e5108"}, @@ -5468,6 +5685,7 @@ version = "1.4.0" description = "A tiny CSS parser" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "tinycss2-1.4.0-py3-none-any.whl", hash = "sha256:3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289"}, {file = "tinycss2-1.4.0.tar.gz", hash = "sha256:10c0972f6fc0fbee87c3edb76549357415e94548c1ae10ebccdea16fb404a9b7"}, @@ -5486,6 +5704,8 @@ version = "2.2.1" description = "A lil' TOML parser" optional = false python-versions = ">=3.8" +groups = ["dev"] +markers = "python_version == \"3.10\"" files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -5527,6 +5747,7 @@ version = "0.12.5" description = "Style preserving TOML library" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "tomlkit-0.12.5-py3-none-any.whl", hash = "sha256:af914f5a9c59ed9d0762c7b64d3b5d5df007448eb9cd2edc8a46b1eafead172f"}, {file = "tomlkit-0.12.5.tar.gz", hash = "sha256:eef34fba39834d4d6b73c9ba7f3e4d1c417a4e56f89a7e96e090dd0d24b8fb3c"}, @@ -5538,6 +5759,7 @@ version = "6.5.1" description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "tornado-6.5.1-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:d50065ba7fd11d3bd41bcad0825227cc9a95154bad83239357094c36708001f7"}, {file = "tornado-6.5.1-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9e9ca370f717997cb85606d074b0e5b247282cf5e2e1611568b8821afe0342d6"}, @@ -5559,6 +5781,7 @@ version = "4.67.1" description = "Fast, Extensible Progress Meter" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"}, {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"}, @@ -5580,6 +5803,7 @@ version = "5.14.3" description = "Traitlets Python configuration system" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, @@ -5595,6 +5819,7 @@ version = "0.16.0" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.7" +groups = ["main", "dev"] files = [ {file = "typer-0.16.0-py3-none-any.whl", hash = "sha256:1f79bed11d4d02d4310e3c1b7ba594183bcedb0ac73b27a9e5f28f6fb5b98855"}, {file = "typer-0.16.0.tar.gz", hash = "sha256:af377ffaee1dbe37ae9440cb4e8f11686ea5ce4e9bae01b84ae7c63b87f1dd3b"}, @@ -5612,6 +5837,7 @@ version = "2.9.0.20250516" description = "Typing stubs for python-dateutil" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "types_python_dateutil-2.9.0.20250516-py3-none-any.whl", hash = "sha256:2b2b3f57f9c6a61fba26a9c0ffb9ea5681c9b83e69cd897c6b5f668d9c0cab93"}, {file = "types_python_dateutil-2.9.0.20250516.tar.gz", hash = "sha256:13e80d6c9c47df23ad773d54b2826bd52dbbb41be87c3f339381c1700ad21ee5"}, @@ -5623,6 +5849,7 @@ version = "4.13.2" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" +groups = ["main", "dev"] files = [ {file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"}, {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"}, @@ -5634,6 +5861,7 @@ version = "0.4.1" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"}, {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"}, @@ -5648,6 +5876,7 @@ version = "2025.2" description = "Provider of IANA time zone data" optional = false python-versions = ">=2" +groups = ["main"] files = [ {file = "tzdata-2025.2-py2.py3-none-any.whl", hash = "sha256:1a403fada01ff9221ca8044d701868fa132215d84beb92242d9acd2147f667a8"}, {file = "tzdata-2025.2.tar.gz", hash = "sha256:b60a638fcc0daffadf82fe0f57e53d06bdec2f36c4df66280ae79bce6bd6f2b9"}, @@ -5659,6 +5888,7 @@ version = "0.5.7" description = "Uniform Manifold Approximation and Projection" optional = false python-versions = "*" +groups = ["main"] files = [ {file = "umap-learn-0.5.7.tar.gz", hash = "sha256:b2a97973e4c6ffcebf241100a8de589a4c84126a832ab40f296c6d9fcc5eb19e"}, {file = "umap_learn-0.5.7-py3-none-any.whl", hash = "sha256:6a7e0be2facfa365a5ed6588447102bdbef32a0ef449535c25c97ea7e680073c"}, @@ -5683,6 +5913,7 @@ version = "0.2.1" description = "Update a toml value from a CLI" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "update_toml-0.2.1-py3-none-any.whl", hash = "sha256:90d5d9d2efbe2f273328ec78394912c33c0f741dc3b0ae744cfc4ddbe27051f7"}, {file = "update_toml-0.2.1.tar.gz", hash = "sha256:92870b2ef8591eeffa32df674d9b4c4fce59a428f65063e138dee253bdb5d372"}, @@ -5697,6 +5928,7 @@ version = "1.3.0" description = "RFC 6570 URI Template Processor" optional = false python-versions = ">=3.7" +groups = ["dev"] files = [ {file = "uri-template-1.3.0.tar.gz", hash = "sha256:0e00f8eb65e18c7de20d595a14336e9f337ead580c70934141624b6d1ffdacc7"}, {file = "uri_template-1.3.0-py3-none-any.whl", hash = "sha256:a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363"}, @@ -5711,13 +5943,14 @@ version = "2.4.0" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main", "dev"] files = [ {file = "urllib3-2.4.0-py3-none-any.whl", hash = "sha256:4e16665048960a0900c702d4a66415956a584919c03361cac9f1df5c5dd7e813"}, {file = "urllib3-2.4.0.tar.gz", hash = "sha256:414bc6535b787febd7567804cc015fee39daab8ad86268f1310a9250697de466"}, ] [package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] @@ -5728,6 +5961,7 @@ version = "1.1.3" description = "A lightweight console printing and formatting toolkit" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "wasabi-1.1.3-py3-none-any.whl", hash = "sha256:f76e16e8f7e79f8c4c8be49b4024ac725713ab10cd7f19350ad18a8e3f71728c"}, {file = "wasabi-1.1.3.tar.gz", hash = "sha256:4bb3008f003809db0c3e28b4daf20906ea871a2bb43f9914197d540f4f2e0878"}, @@ -5742,6 +5976,7 @@ version = "6.0.0" description = "Filesystem events monitoring" optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"}, {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"}, @@ -5784,6 +6019,7 @@ version = "0.2.13" description = "Measures the displayed width of unicode strings in a terminal" optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"}, {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"}, @@ -5795,6 +6031,7 @@ version = "0.4.1" description = "Weasel: A small and easy workflow system" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "weasel-0.4.1-py3-none-any.whl", hash = "sha256:24140a090ea1ac512a2b2f479cc64192fd1d527a7f3627671268d08ed5ac418c"}, {file = "weasel-0.4.1.tar.gz", hash = "sha256:aabc210f072e13f6744e5c3a28037f93702433405cd35673f7c6279147085aa9"}, @@ -5817,6 +6054,7 @@ version = "24.11.1" description = "A library for working with the color formats defined by HTML and CSS." optional = false python-versions = ">=3.9" +groups = ["dev"] files = [ {file = "webcolors-24.11.1-py3-none-any.whl", hash = "sha256:515291393b4cdf0eb19c155749a096f779f7d909f7cceea072791cb9095b92e9"}, {file = "webcolors-24.11.1.tar.gz", hash = "sha256:ecb3d768f32202af770477b8b65f318fa4f566c22948673a977b00d589dd80f6"}, @@ -5828,6 +6066,7 @@ version = "0.5.1" description = "Character encoding aliases for legacy web content" optional = false python-versions = "*" +groups = ["dev"] files = [ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, @@ -5839,6 +6078,7 @@ version = "1.8.0" description = "WebSocket client for Python with low level API options" optional = false python-versions = ">=3.8" +groups = ["dev"] files = [ {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"}, {file = 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"sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"}, @@ -5949,6 +6191,6 @@ files = [ ] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = ">=3.10,<3.13" -content-hash = "390be45312909e1849b6f88f2c70cb8eb97f9cbe111e7833c5035c96b8d3dd37" +content-hash = "375db7d2600918867968d227a911ecf812453403836e06f84e9dd05024673edb" diff --git a/pyproject.toml b/pyproject.toml index 61f126b9df..97ccde4d13 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -75,7 +75,6 @@ pyyaml = "^6.0.2" python-dotenv = "^1.0.1" pydantic = "^2.10.3" -rich = "^13.9.4" devtools = "^0.12.2" typing-extensions = "^4.12.2" From 5ee88c7ceebd6f6da9c11b5166fef94e24d052ac Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Fri, 6 Jun 2025 11:06:08 -0400 Subject: [PATCH 77/88] revert test formatting changes my by copilot --- .../test_gi_entity_extraction.py | 60 +++++++++---------- 1 file changed, 30 insertions(+), 30 deletions(-) diff --git a/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py index 0fb14d4e9a..13e676e9fb 100644 --- a/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py +++ b/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py @@ -14,6 +14,12 @@ class TestRunChain(unittest.IsolatedAsyncioTestCase): async def test_run_extract_graph_single_document_correct_entities_returned(self): results = await run_extract_graph( + docs=[Document("test_text", "1")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, model=create_mock_llm( responses=[ """ @@ -30,12 +36,6 @@ async def test_run_extract_graph_single_document_correct_entities_returned(self) ], name="test_run_extract_graph_single_document_correct_entities_returned", ), - docs=[Document("test_text", "1")], - entity_types=["person"], - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, ) # self.assertItemsEqual isn't available yet, or I am just silly @@ -48,6 +48,12 @@ async def test_run_extract_graph_multiple_documents_correct_entities_returned( self, ): results = await run_extract_graph( + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, model=create_mock_llm( responses=[ """ @@ -68,12 +74,6 @@ async def test_run_extract_graph_multiple_documents_correct_entities_returned( ], name="test_run_extract_graph_multiple_documents_correct_entities_returned", ), - docs=[Document("text_1", "1"), Document("text_2", "2")], - entity_types=["person"], - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, ) # self.assertItemsEqual isn't available yet, or I am just silly @@ -84,6 +84,12 @@ async def test_run_extract_graph_multiple_documents_correct_entities_returned( async def test_run_extract_graph_multiple_documents_correct_edges_returned(self): results = await run_extract_graph( + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, model=create_mock_llm( responses=[ """ @@ -104,12 +110,6 @@ async def test_run_extract_graph_multiple_documents_correct_edges_returned(self) ], name="test_run_extract_graph_multiple_documents_correct_edges_returned", ), - docs=[Document("text_1", "1"), Document("text_2", "2")], - entity_types=["person"], - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, ) # self.assertItemsEqual isn't available yet, or I am just silly @@ -128,6 +128,12 @@ async def test_run_extract_graph_multiple_documents_correct_entity_source_ids_ma self, ): results = await run_extract_graph( + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, model=create_mock_llm( responses=[ """ @@ -148,12 +154,6 @@ async def test_run_extract_graph_multiple_documents_correct_entity_source_ids_ma ], name="test_run_extract_graph_multiple_documents_correct_entity_source_ids_mapped", ), - docs=[Document("text_1", "1"), Document("text_2", "2")], - entity_types=["person"], - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, ) graph = results.graph @@ -177,6 +177,12 @@ async def test_run_extract_graph_multiple_documents_correct_edge_source_ids_mapp self, ): results = await run_extract_graph( + docs=[Document("text_1", "1"), Document("text_2", "2")], + entity_types=["person"], + args={ + "max_gleanings": 0, + "summarize_descriptions": False, + }, model=create_mock_llm( responses=[ """ @@ -197,12 +203,6 @@ async def test_run_extract_graph_multiple_documents_correct_edge_source_ids_mapp ], name="test_run_extract_graph_multiple_documents_correct_edge_source_ids_mapped", ), - docs=[Document("text_1", "1"), Document("text_2", "2")], - entity_types=["person"], - args={ - "max_gleanings": 0, - "summarize_descriptions": False, - }, ) graph = results.graph From ee4a0e66145597a1fd1f4f390daecec665b8bca8 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Tue, 10 Jun 2025 14:22:32 -0400 Subject: [PATCH 78/88] promote graphrag logs to root logger --- graphrag/logger/standard_logging.py | 3 - poetry.lock | 484 ++++++++++++++++------------ 2 files changed, 274 insertions(+), 213 deletions(-) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index d706b4863c..1521446e52 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -134,9 +134,6 @@ def init_loggers( case _: logger.error("Unknown reporting type '%s'.", reporting_config.type) - # 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"seaborn (>=0.9.0)"] -install = ["joblib (>=1.2.0)", "numpy (>=1.19.5)", "scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"] -maintenance = ["conda-lock (==2.5.6)"] -tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.5.1)", "scikit-image (>=0.17.2)"] +benchmark = ["matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "pandas (>=1.4.0)"] +build = ["cython (>=3.0.10)", "meson-python (>=0.16.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)"] +docs = ["Pillow (>=8.4.0)", "matplotlib (>=3.5.0)", "memory_profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pydata-sphinx-theme (>=0.15.3)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)", "sphinx (>=7.3.7)", "sphinx-copybutton (>=0.5.2)", "sphinx-design (>=0.5.0)", "sphinx-design (>=0.6.0)", "sphinx-gallery (>=0.17.1)", "sphinx-prompt (>=1.4.0)", "sphinx-remove-toctrees (>=1.0.0.post1)", "sphinxcontrib-sass (>=0.3.4)", "sphinxext-opengraph (>=0.9.1)", "towncrier (>=24.8.0)"] +examples = ["matplotlib (>=3.5.0)", "pandas (>=1.4.0)", "plotly (>=5.14.0)", "pooch (>=1.6.0)", "scikit-image (>=0.19.0)", "seaborn (>=0.9.0)"] +install = ["joblib (>=1.2.0)", "numpy (>=1.22.0)", "scipy (>=1.8.0)", "threadpoolctl (>=3.1.0)"] +maintenance = ["conda-lock (==3.0.1)"] +tests = ["matplotlib (>=3.5.0)", "mypy (>=1.15)", "numpydoc (>=1.2.0)", "pandas (>=1.4.0)", "polars (>=0.20.30)", "pooch (>=1.6.0)", "pyamg (>=4.2.1)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.11.7)", "scikit-image (>=0.19.0)"] [[package]] name = "scipy" @@ -5845,14 +5909,14 @@ files = [ [[package]] name = "typing-extensions" -version = "4.13.2" -description = "Backported and Experimental Type Hints for Python 3.8+" +version = "4.14.0" +description = "Backported and Experimental Type Hints for Python 3.9+" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" groups = ["main", "dev"] files = [ - {file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"}, - {file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"}, + {file = "typing_extensions-4.14.0-py3-none-any.whl", hash = "sha256:a1514509136dd0b477638fc68d6a91497af5076466ad0fa6c338e44e359944af"}, + {file = "typing_extensions-4.14.0.tar.gz", hash = "sha256:8676b788e32f02ab42d9e7c61324048ae4c6d844a399eebace3d4979d75ceef4"}, ] [[package]] From 9295133e1dfbc60348f70e0fbc7a2e6764fe3a42 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Wed, 11 Jun 2025 13:09:39 -0400 Subject: [PATCH 79/88] add correct semversioner file --- .semversioner/improve-standard-logging.json | 8 -------- .../next-release/minor-20250530205332554710.json | 4 ---- .../next-release/patch-20250611170907043237.json | 4 ++++ 3 files changed, 4 insertions(+), 12 deletions(-) delete mode 100644 .semversioner/improve-standard-logging.json delete mode 100644 .semversioner/next-release/minor-20250530205332554710.json create mode 100644 .semversioner/next-release/patch-20250611170907043237.json diff --git a/.semversioner/improve-standard-logging.json b/.semversioner/improve-standard-logging.json deleted file mode 100644 index edd01e10e6..0000000000 --- a/.semversioner/improve-standard-logging.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "changes": [ - { - "description": "Improve internal logging functionality by using Python's standard logging module", - "type": "minor" - } - ] -} \ No newline at end of file diff --git a/.semversioner/next-release/minor-20250530205332554710.json b/.semversioner/next-release/minor-20250530205332554710.json deleted file mode 100644 index 4d7e037909..0000000000 --- a/.semversioner/next-release/minor-20250530205332554710.json +++ /dev/null @@ -1,4 +0,0 @@ -{ - "type": "minor", - "description": "Improve internal logging functionality by using Python's standard logging module" -} diff --git a/.semversioner/next-release/patch-20250611170907043237.json b/.semversioner/next-release/patch-20250611170907043237.json new file mode 100644 index 0000000000..e6a546802a --- /dev/null +++ b/.semversioner/next-release/patch-20250611170907043237.json @@ -0,0 +1,4 @@ +{ + "type": "patch", + "description": "cleaned up logging to follow python standards." +} From 33961ddf69cb9ac282f0be4a1b038af76c659c3a Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Wed, 11 Jun 2025 13:12:28 -0400 Subject: [PATCH 80/88] revert change to file --- CHANGELOG.md | 1 - 1 file changed, 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index ae4c2663ba..0ccbefc50f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -3,7 +3,6 @@ Note: version releases in the 0.x.y range may introduce breaking changes. ## 2.3.0 -- minor: Improve internal logging functionality by standardizing on Python's built-in logging module - minor: Remove Dynamic Max Retries support. Refactor typer typing in cli interface - minor: Update fnllm to latest. Update default graphrag configuration - patch: A few fixes and enhancements for better reuse and flow. From 00410c1a0a41162611be1e72b635ec2b15340063 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Wed, 11 Jun 2025 13:19:01 -0400 Subject: [PATCH 81/88] revert formatting changes that have no effect --- poetry.lock | 12 ++++++------ tests/mock_provider.py | 17 ++++++++++------- 2 files changed, 16 insertions(+), 13 deletions(-) diff --git a/poetry.lock b/poetry.lock index b41b9b936f..0eae5eb8a3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3409,14 +3409,14 @@ files = [ [[package]] name = "openai" -version = "1.85.0" +version = "1.86.0" description = "The official Python library for the openai API" optional = false python-versions = ">=3.8" groups = ["main"] files = [ - {file = "openai-1.85.0-py3-none-any.whl", hash = "sha256:7dc3e839cb8bb8747979a90c63ad4cb25a8e0cbec17b53eec009532c9965cecf"}, - {file = "openai-1.85.0.tar.gz", hash = "sha256:6ba76e4ebc5725f71f2f6126c7cb5169ca8de60dd5aa61f350f9448ad162c913"}, + {file = "openai-1.86.0-py3-none-any.whl", hash = "sha256:c8889c39410621fe955c230cc4c21bfe36ec887f4e60a957de05f507d7e1f349"}, + {file = "openai-1.86.0.tar.gz", hash = "sha256:c64d5b788359a8fdf69bd605ae804ce41c1ce2e78b8dd93e2542e0ee267f1e4b"}, ] [package.dependencies] @@ -4332,14 +4332,14 @@ diagrams = ["jinja2", "railroad-diagrams"] [[package]] name = "pyright" -version = "1.1.401" +version = "1.1.402" description = "Command line wrapper for pyright" optional = false python-versions = ">=3.7" groups = ["dev"] files = [ - {file = "pyright-1.1.401-py3-none-any.whl", hash = "sha256:6fde30492ba5b0d7667c16ecaf6c699fab8d7a1263f6a18549e0b00bf7724c06"}, - {file = "pyright-1.1.401.tar.gz", hash = "sha256:788a82b6611fa5e34a326a921d86d898768cddf59edde8e93e56087d277cc6f1"}, + {file = "pyright-1.1.402-py3-none-any.whl", hash = "sha256:2c721f11869baac1884e846232800fe021c33f1b4acb3929cff321f7ea4e2982"}, + {file = "pyright-1.1.402.tar.gz", hash = "sha256:85a33c2d40cd4439c66aa946fd4ce71ab2f3f5b8c22ce36a623f59ac22937683"}, ] [package.dependencies] diff --git a/tests/mock_provider.py b/tests/mock_provider.py index 96008d0ebb..d68fd762df 100644 --- a/tests/mock_provider.py +++ b/tests/mock_provider.py @@ -53,10 +53,13 @@ async def achat_stream( return for response in self.responses: - if isinstance(response, BaseModel): - yield response.model_dump_json() # type: ignore[attr-defined] - else: - yield response + response = ( + response.model_dump_json() + if isinstance(response, BaseModel) + else response + ) + + yield response def chat( self, @@ -72,9 +75,9 @@ def chat( self.response_index += 1 parsed_json = response if isinstance(response, BaseModel) else None - if isinstance(response, BaseModel): - response = response.model_dump_json() # type: ignore[attr-defined] - # else response stays as string + response = ( + response.model_dump_json() if isinstance(response, BaseModel) else response + ) return BaseModelResponse( output=BaseModelOutput(content=response), From 9fd438cdbba818d6efb9fee3b3005093c2cbddf3 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Wed, 18 Jun 2025 17:27:27 -0400 Subject: [PATCH 82/88] fix changes after merge with main --- graphrag/api/prompt_tune.py | 2 - graphrag/cli/prompt_tune.py | 1 - graphrag/config/defaults.py | 1 - graphrag/index/input/factory.py | 3 +- graphrag/index/run/run_pipeline.py | 6 - graphrag/index/run/utils.py | 2 - graphrag/index/typing/context.py | 3 - .../index/workflows/load_input_documents.py | 10 +- .../index/workflows/load_update_documents.py | 12 +- poetry.lock | 434 +++++++++--------- 10 files changed, 219 insertions(+), 255 deletions(-) diff --git a/graphrag/api/prompt_tune.py b/graphrag/api/prompt_tune.py index 690c491493..168cbfc652 100644 --- a/graphrag/api/prompt_tune.py +++ b/graphrag/api/prompt_tune.py @@ -54,7 +54,6 @@ @validate_call(config={"arbitrary_types_allowed": True}) async def generate_indexing_prompts( config: GraphRagConfig, - root: str, chunk_size: PositiveInt = graphrag_config_defaults.chunks.size, overlap: Annotated[ int, annotated_types.Gt(-1) @@ -74,7 +73,6 @@ async def generate_indexing_prompts( Parameters ---------- - config: The GraphRag configuration. - - root: The root directory. - output_path: The path to store the prompts. - chunk_size: The chunk token size to use for input text units. - limit: The limit of chunks to load. diff --git a/graphrag/cli/prompt_tune.py b/graphrag/cli/prompt_tune.py index 5092197ae0..0f0bf2abc8 100644 --- a/graphrag/cli/prompt_tune.py +++ b/graphrag/cli/prompt_tune.py @@ -92,7 +92,6 @@ async def prompt_tune( prompts = await api.generate_indexing_prompts( config=graph_config, - root=str(root_path), chunk_size=chunk_size, overlap=overlap, limit=limit, diff --git a/graphrag/config/defaults.py b/graphrag/config/defaults.py index 358805120d..1da0081220 100644 --- a/graphrag/config/defaults.py +++ b/graphrag/config/defaults.py @@ -378,7 +378,6 @@ class UmapDefaults: class UpdateIndexOutputDefaults(StorageDefaults): """Default values for update index output.""" - type: ClassVar[OutputType] = OutputType.file base_dir: str = "update_output" diff --git a/graphrag/index/input/factory.py b/graphrag/index/input/factory.py index e9003c9bbf..bc4da8c7a1 100644 --- a/graphrag/index/input/factory.py +++ b/graphrag/index/input/factory.py @@ -29,8 +29,7 @@ async def create_input( storage: PipelineStorage, ) -> pd.DataFrame: """Instantiate input data for a pipeline.""" - root_dir = root_dir or "" - logger.info("loading input from root_dir=%s", config.base_dir) + logger.info("loading input from root_dir=%s", config.storage.base_dir) if config.file_type in loaders: logger.info("Loading Input %s", config.file_type) diff --git a/graphrag/index/run/run_pipeline.py b/graphrag/index/run/run_pipeline.py index 8e7263d05e..a628b5ade8 100644 --- a/graphrag/index/run/run_pipeline.py +++ b/graphrag/index/run/run_pipeline.py @@ -16,7 +16,6 @@ from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.pipeline import Pipeline from graphrag.index.typing.pipeline_run_result import PipelineRunResult -from graphrag.index.update.incremental_index import get_delta_docs from graphrag.storage.pipeline_storage import PipelineStorage from graphrag.utils.api import create_cache_from_config, create_storage_from_config from graphrag.utils.storage import load_table_from_storage, write_table_to_storage @@ -63,7 +62,6 @@ async def run_pipeline( cache=cache, callbacks=callbacks, state=state, - progress_logger=logger, ) else: @@ -75,7 +73,6 @@ async def run_pipeline( cache=cache, callbacks=callbacks, state=state, - progress_logger=logger, ) async for table in _run_pipeline( @@ -89,13 +86,10 @@ async def run_pipeline( async def _run_pipeline( pipeline: Pipeline, config: GraphRagConfig, - dataset: pd.DataFrame, context: PipelineRunContext, ) -> AsyncIterable[PipelineRunResult]: start_time = time.time() - logger.info("Final # of rows loaded: %s", len(dataset)) - context.stats.num_documents = len(dataset) last_workflow = "" try: diff --git a/graphrag/index/run/utils.py b/graphrag/index/run/utils.py index 8c48c8ef21..52b1f0bd31 100644 --- a/graphrag/index/run/utils.py +++ b/graphrag/index/run/utils.py @@ -23,7 +23,6 @@ def create_run_context( previous_storage: PipelineStorage | None = None, cache: PipelineCache | None = None, callbacks: WorkflowCallbacks | None = None, - progress_logger: ProgressLogger | None = None, stats: PipelineRunStats | None = None, state: PipelineState | None = None, ) -> PipelineRunContext: @@ -34,7 +33,6 @@ def create_run_context( previous_storage=previous_storage or MemoryPipelineStorage(), cache=cache or InMemoryCache(), callbacks=callbacks or NoopWorkflowCallbacks(), - progress_logger=progress_logger or NullProgressLogger(), stats=stats or PipelineRunStats(), state=state or {}, ) diff --git a/graphrag/index/typing/context.py b/graphrag/index/typing/context.py index 9ac0a4e31f..ef2e1f7ea5 100644 --- a/graphrag/index/typing/context.py +++ b/graphrag/index/typing/context.py @@ -10,7 +10,6 @@ from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.index.typing.state import PipelineState from graphrag.index.typing.stats import PipelineRunStats -from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage @@ -29,7 +28,5 @@ class PipelineRunContext: "Cache instance for reading previous LLM responses." callbacks: WorkflowCallbacks "Callbacks to be called during the pipeline run." - progress_logger: ProgressLogger - "Progress logger for the pipeline run." state: PipelineState "Arbitrary property bag for runtime state, persistent pre-computes, or experimental features." diff --git a/graphrag/index/workflows/load_input_documents.py b/graphrag/index/workflows/load_input_documents.py index b3d4170360..33e14d0cb2 100644 --- a/graphrag/index/workflows/load_input_documents.py +++ b/graphrag/index/workflows/load_input_documents.py @@ -12,11 +12,10 @@ from graphrag.index.input.factory import create_input from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.workflow import WorkflowFunctionOutput -from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage from graphrag.utils.storage import write_table_to_storage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def run_workflow( @@ -27,10 +26,9 @@ async def run_workflow( output = await load_input_documents( config.input, context.input_storage, - context.progress_logger, ) - log.info("Final # of rows loaded: %s", len(output)) + logger.info("Final # of rows loaded: %s", len(output)) context.stats.num_documents = len(output) await write_table_to_storage(output, "documents", context.output_storage) @@ -39,7 +37,7 @@ async def run_workflow( async def load_input_documents( - config: InputConfig, storage: PipelineStorage, progress_logger: ProgressLogger + config: InputConfig, storage: PipelineStorage ) -> pd.DataFrame: """Load and parse input documents into a standard format.""" - return await create_input(config, storage, progress_logger) + return await create_input(config, storage) diff --git a/graphrag/index/workflows/load_update_documents.py b/graphrag/index/workflows/load_update_documents.py index 18d1e1b90e..fbe48b6419 100644 --- a/graphrag/index/workflows/load_update_documents.py +++ b/graphrag/index/workflows/load_update_documents.py @@ -13,11 +13,10 @@ from graphrag.index.typing.context import PipelineRunContext from graphrag.index.typing.workflow import WorkflowFunctionOutput from graphrag.index.update.incremental_index import get_delta_docs -from graphrag.logger.base import ProgressLogger from graphrag.storage.pipeline_storage import PipelineStorage from graphrag.utils.storage import write_table_to_storage -log = logging.getLogger(__name__) +logger = logging.getLogger(__name__) async def run_workflow( @@ -29,15 +28,13 @@ async def run_workflow( config.input, context.input_storage, context.previous_storage, - context.progress_logger, ) - log.info("Final # of update rows loaded: %s", len(output)) + logger.info("Final # of update rows loaded: %s", len(output)) context.stats.update_documents = len(output) if len(output) == 0: - log.warning("No new update documents found.") - context.progress_logger.warning("No new update documents found.") + logger.warning("No new update documents found.") return WorkflowFunctionOutput(result=None, stop=True) await write_table_to_storage(output, "documents", context.output_storage) @@ -49,10 +46,9 @@ async def load_update_documents( config: InputConfig, input_storage: PipelineStorage, previous_storage: PipelineStorage, - progress_logger: ProgressLogger, ) -> pd.DataFrame: """Load and parse update-only input documents into a standard format.""" - input_documents = await create_input(config, input_storage, progress_logger) + input_documents = await create_input(config, input_storage) # previous storage is the output of the previous run # we'll use this to diff the input from the prior delta_documents = await get_delta_docs(input_documents, previous_storage) diff --git a/poetry.lock b/poetry.lock index 0eae5eb8a3..782731c22d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -545,14 +545,14 @@ files = [ [[package]] name = "certifi" -version = "2025.4.26" +version = "2025.6.15" description = "Python package for providing Mozilla's CA Bundle." optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" groups = ["main", "dev"] files = [ - {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"}, - {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"}, + {file = "certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057"}, + {file = "certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b"}, ] 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-100,10 +100,7 @@ def assert_language_model_configs( for e, a in zip(actual.responses, expected.responses, strict=True): assert isinstance(e, BaseModel) assert isinstance(a, BaseModel) - # Type assertions to help pyright understand the types after isinstance checks - e_model = cast("BaseModel", e) - a_model = cast("BaseModel", a) - assert e_model.model_dump() == a_model.model_dump() + assert e.model_dump() == a.model_dump() else: assert expected.responses is None From 8f50dd610836ff2795da176aeab43d4ad8a8f905 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Wed, 18 Jun 2025 17:51:01 -0400 Subject: [PATCH 84/88] remove whitespace --- tests/unit/config/utils.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/tests/unit/config/utils.py b/tests/unit/config/utils.py index 6a53031a09..2fa5b14107 100644 --- a/tests/unit/config/utils.py +++ b/tests/unit/config/utils.py @@ -2,7 +2,6 @@ # Licensed under the MIT License from dataclasses import asdict -from typing import cast from pydantic import BaseModel @@ -100,7 +99,7 @@ def assert_language_model_configs( for e, a in zip(actual.responses, expected.responses, strict=True): assert isinstance(e, BaseModel) assert isinstance(a, BaseModel) - assert e.model_dump() == a.model_dump() + assert e.model_dump() == a.model_dump() else: assert expected.responses is None From 7a72def9d68a3174b10a75ba99be4439f184f914 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Mon, 23 Jun 2025 18:38:08 -0400 Subject: [PATCH 85/88] cleanup docstring --- graphrag/logger/standard_logging.py | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/graphrag/logger/standard_logging.py b/graphrag/logger/standard_logging.py index 1521446e52..3f6cc22405 100644 --- a/graphrag/logger/standard_logging.py +++ b/graphrag/logger/standard_logging.py @@ -52,7 +52,7 @@ def init_loggers( ) -> None: """Initialize logging handlers for graphrag based on configuration. - This function merges the functionality of configure_logging and create_pipeline_logger + This function merges the functionality of configure_logging() and create_pipeline_logger() to provide a unified way to set up logging for the graphrag package. Parameters @@ -65,10 +65,6 @@ def init_loggers( Whether to enable verbose (DEBUG) logging. log_file : Optional[Union[str, Path]], default=None Path to a specific log file. If provided, takes precedence over config. - log_format : str, default="%(asctime)s - %(levelname)s - %(name)s - %(message)s" - The format for log messages. - date_format : str, default="%Y-%m-%d %H:%M:%S" - The format for dates in the log messages. """ # import BlobWorkflowLogger here to avoid circular imports from graphrag.logger.blob_workflow_logger import BlobWorkflowLogger From d8a2acf0aeec1dc4b9177a449bf979870dfbceb3 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Wed, 9 Jul 2025 13:59:54 -0400 Subject: [PATCH 86/88] simplify some logic with less code --- graphrag/api/index.py | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/graphrag/api/index.py b/graphrag/api/index.py index 9e39035c23..7ae6889d3e 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -11,6 +11,7 @@ import logging from graphrag.callbacks.noop_workflow_callbacks import NoopWorkflowCallbacks +from graphrag.callbacks.workflow_callbacks import WorkflowCallbacks from graphrag.config.enums import IndexingMethod from graphrag.config.models.graph_rag_config import GraphRagConfig from graphrag.index.run.run_pipeline import run_pipeline @@ -28,7 +29,7 @@ async def build_index( method: IndexingMethod | str = IndexingMethod.Standard, is_update_run: bool = False, memory_profile: bool = False, - callbacks: list | None = None, + callbacks: list[WorkflowCallbacks] | None = None, ) -> list[PipelineRunResult]: """Run the pipeline with the given configuration. @@ -50,14 +51,8 @@ async def build_index( """ init_loggers(config=config) - # Create a no-op workflow callbacks for pipeline lifecycle events - workflow_callbacks = NoopWorkflowCallbacks() - - # Add any additional callbacks to the chain - if callbacks: - callback_manager = create_callback_chain(callbacks) - # We could create a composite here, but for simplicity just use the manager - workflow_callbacks = callback_manager + # Create callbacks for pipeline lifecycle events if provided + workflow_callbacks = create_callback_chain(callbacks) if callbacks else NoopWorkflowCallbacks() outputs: list[PipelineRunResult] = [] From 259d4aae634e5045e3aae9a63cdf59d6a3369591 Mon Sep 17 00:00:00 2001 From: Josh Bradley Date: Wed, 9 Jul 2025 14:05:37 -0400 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a/graphrag/api/index.py b/graphrag/api/index.py index 7ae6889d3e..c7f7f07898 100644 --- a/graphrag/api/index.py +++ b/graphrag/api/index.py @@ -52,7 +52,9 @@ async def build_index( init_loggers(config=config) # Create callbacks for pipeline lifecycle events if provided - workflow_callbacks = create_callback_chain(callbacks) if callbacks else NoopWorkflowCallbacks() + workflow_callbacks = ( + create_callback_chain(callbacks) if callbacks else NoopWorkflowCallbacks() + ) outputs: list[PipelineRunResult] = []