From b1056c182b7f2697ecaac0f904b8faf3ee06b0e8 Mon Sep 17 00:00:00 2001 From: Bharat Kathi Date: Sat, 14 Mar 2026 00:15:09 -0700 Subject: [PATCH 1/3] refactor: modernize query service tooling, deps, and data pipeline - Migrate from Poetry to uv with hatchling build backend - Upgrade Python from 3.10 to 3.12 - Switch database driver from MySQL (pymysql) to PostgreSQL (psycopg2) - Add mapache-py and rincon library dependencies - Replace inline RinconService with rincon library client - Add Dockerfile.dev with uvicorn hot reload for docker-compose - Use FastAPI lifespan for startup initialization - Fix SQL injection in query_signals with parameterized queries - Replace per-signal DataFrame filtering with single pivot_table call - Deduplicate merge_to_smallest/merge_to_largest into merge_signals - Fix df.equals() identity bug that could silently drop signals - Handle UTC timestamps consistently at the query layer --- docker-compose.yaml | 52 +- query/Dockerfile | 25 +- query/Dockerfile.dev | 7 + query/Makefile | 8 +- query/poetry.lock | 1488 -------------------------------- query/pyproject.toml | 43 +- query/query/config/config.py | 3 +- query/query/main.py | 41 +- query/query/routes/query.py | 44 +- query/query/service/auth.py | 10 +- query/query/service/query.py | 257 ++---- query/query/service/rincon.py | 118 +-- query/query/service/trip.py | 33 +- query/query/service/vehicle.py | 33 +- query/scripts/run.sh | 4 +- query/uv.lock | 1036 ++++++++++++++++++++++ 16 files changed, 1261 insertions(+), 1941 deletions(-) create mode 100644 query/Dockerfile.dev delete mode 100644 query/poetry.lock create mode 100644 query/uv.lock diff --git a/docker-compose.yaml b/docker-compose.yaml index 76776e93..f70c0aba 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -134,30 +134,34 @@ services: RINCON_ENDPOINT: "http://rincon:10311" SKIP_AUTH_CHECK: "true" - # query: - # image: gauchoracing/mp_query:latest - # container_name: query - # restart: unless-stopped - # depends_on: - # - rincon - # ports: - # - "7010:7010" - # environment: - # ENV: "DEV" - # PORT: "7010" - # SERVICE_ENDPOINT: "http://query:7010" - # SERVICE_HEALTH_CHECK: "http://query:7010/query/ping" - # DATABASE_HOST: ${DATABASE_HOST} - # DATABASE_PORT: ${DATABASE_PORT} - # DATABASE_NAME: ${DATABASE_NAME} - # DATABASE_USER: ${DATABASE_USER} - # DATABASE_PASSWORD: ${DATABASE_PASSWORD} - # RINCON_USER: "admin" - # RINCON_PASSWORD: "admin" - # RINCON_ENDPOINT: "http://rincon:10311" - # SENTINEL_URL: ${SENTINEL_URL} - # SENTINEL_JWKS_URL: ${SENTINEL_JWKS_URL} - # SENTINEL_CLIENT_ID: ${SENTINEL_CLIENT_ID} + query: + build: + context: . + dockerfile: query/Dockerfile.dev + container_name: query + restart: unless-stopped + depends_on: + - rincon + ports: + - "7010:7010" + volumes: + - ./query:/app/query + environment: + ENV: "DEV" + PORT: "7010" + SERVICE_ENDPOINT: "http://query:7010" + SERVICE_HEALTH_CHECK: "http://query:7010/query/ping" + DATABASE_HOST: ${DATABASE_HOST} + DATABASE_PORT: ${DATABASE_PORT} + DATABASE_NAME: ${DATABASE_NAME} + DATABASE_USER: ${DATABASE_USER} + DATABASE_PASSWORD: ${DATABASE_PASSWORD} + RINCON_USER: "admin" + RINCON_PASSWORD: "admin" + RINCON_ENDPOINT: "http://rincon:10311" + SENTINEL_URL: ${SENTINEL_URL} + SENTINEL_JWKS_URL: ${SENTINEL_JWKS_URL} + SENTINEL_CLIENT_ID: ${SENTINEL_CLIENT_ID} nanomq: image: emqx/nanomq:latest diff --git a/query/Dockerfile b/query/Dockerfile index f4bb3ce5..a9068d67 100644 --- a/query/Dockerfile +++ b/query/Dockerfile @@ -1,26 +1,13 @@ -FROM python:3.11-buster AS builder +FROM python:3.12-slim-bookworm -RUN pip install poetry==2.0.0 - -ENV POETRY_NO_INTERACTION=1 \ - POETRY_VIRTUALENVS_IN_PROJECT=1 \ - POETRY_VIRTUALENVS_CREATE=1 \ - POETRY_CACHE_DIR=/tmp/poetry_cache +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ WORKDIR /app -COPY pyproject.toml poetry.lock ./ -RUN touch README.md - -RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --without dev --no-root - -FROM python:3.11-slim-buster AS runtime - -ENV VIRTUAL_ENV=/app/.venv \ - PATH="/app/.venv/bin:$PATH" - -COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV} +COPY pyproject.toml uv.lock ./ +RUN uv sync --frozen --no-dev --no-install-project COPY query ./query +RUN uv sync --frozen --no-dev -ENTRYPOINT ["python", "-m", "query.main"] \ No newline at end of file +ENTRYPOINT ["uv", "run", "python", "-m", "query.main"] diff --git a/query/Dockerfile.dev b/query/Dockerfile.dev new file mode 100644 index 00000000..3122b78c --- /dev/null +++ b/query/Dockerfile.dev @@ -0,0 +1,7 @@ +FROM python:3.12-slim-bookworm + +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/ + +WORKDIR /app/query + +CMD ["uv", "run", "uvicorn", "query.main:create_app", "--host", "0.0.0.0", "--port", "7010", "--reload"] diff --git a/query/Makefile b/query/Makefile index 63ebda9f..8b3081b9 100644 --- a/query/Makefile +++ b/query/Makefile @@ -1,7 +1,7 @@ .PHONY: install run test lint clean install: - 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"pyjwt[crypto] (>=2.11.0,<3.0.0)" + "fastapi>=0.115.10,<0.116.0", + "uvicorn>=0.34.0,<0.35.0", + "dotenv>=0.9.9,<0.10.0", + "sqlalchemy>=2.0.38,<3.0.0", + "psycopg2-binary>=2.9.10,<3.0.0", + "numpy>=2.2.3,<3.0.0", + "pandas>=2.2.3,<3.0.0", + "loguru>=0.7.3,<0.8.0", + "pyarrow>=20.0.0,<21.0.0", + "requests>=2.32.3,<3.0.0", + "pyjwt[crypto]>=2.11.0,<3.0.0", + "mapache-py>=3.0.1,<4.0.0", + "rincon>=1.0.0,<2.0.0", ] +[dependency-groups] +dev = [ + "pytest>=8.3.5", + "pytest-cov>=6.1.1", +] -[build-system] -requires = ["poetry-core>=2.0.0,<3.0.0"] -build-backend = "poetry.core.masonry.api" - -[tool.poetry.scripts] +[project.scripts] query = "query.main:main" -[tool.poetry.group.dev.dependencies] -pytest = "^8.3.5" -pytest-cov = "^6.1.1" +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" diff --git a/query/query/config/config.py b/query/query/config/config.py index bb80131d..aa719af0 100644 --- a/query/query/config/config.py +++ b/query/query/config/config.py @@ -28,6 +28,5 @@ class Config: @staticmethod def get_database_url() -> str: - """Constructs the MySQL database URL from individual settings""" - return f"mysql+pymysql://{Config.DATABASE_USER}:{Config.DATABASE_PASSWORD}@{Config.DATABASE_HOST}:{Config.DATABASE_PORT}/{Config.DATABASE_NAME}" + return f"postgresql+psycopg2://{Config.DATABASE_USER}:{Config.DATABASE_PASSWORD}@{Config.DATABASE_HOST}:{Config.DATABASE_PORT}/{Config.DATABASE_NAME}" diff --git a/query/query/main.py b/query/query/main.py index ecf418e4..d573734e 100644 --- a/query/query/main.py +++ b/query/query/main.py @@ -1,14 +1,24 @@ -from fastapi import FastAPI +from contextlib import asynccontextmanager + +from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware -import requests import uvicorn from query.config.config import Config from query.database.connection import init_db from query.routes import ping, query, signal_definition, token from query.service.auth import AuthService -from query.service.rincon import RinconService -from query.service.trip import get_all_trips, get_trip_by_id -from query.service.vehicle import get_all_vehicles, get_vehicle_by_id +from query.service.rincon import init_rincon + +@asynccontextmanager +async def lifespan(app: FastAPI): + init_db() + init_rincon() + AuthService.configure( + jwks_url=Config.SENTINEL_JWKS_URL, + issuer="https://sso.gauchoracing.com", + audience=Config.SENTINEL_CLIENT_ID + ) + yield def create_app(): app = FastAPI( @@ -16,7 +26,8 @@ def create_app(): description="API Documentation", version=Config.VERSION, docs_url="/query/docs", - redoc_url="/query/redoc" + redoc_url="/query/redoc", + lifespan=lifespan ) app.add_middleware( @@ -32,7 +43,7 @@ def create_app(): prefix="/query", tags=["Ping"] ) - + app.include_router( query.router, prefix="/query", @@ -50,20 +61,12 @@ def create_app(): prefix="/query", tags=["Token"] ) - + return app def main(): - init_db() - RinconService.register() - AuthService.configure( - jwks_url=Config.SENTINEL_JWKS_URL, - issuer="https://sso.gauchoracing.com", - audience=Config.SENTINEL_CLIENT_ID - ) - - app = create_app() - uvicorn.run(app, host="0.0.0.0", port=Config.PORT) + app = create_app() + uvicorn.run(app, host="0.0.0.0", port=Config.PORT) if __name__ == "__main__": - main() + main() diff --git a/query/query/routes/query.py b/query/query/routes/query.py index b4c6bfcb..54a00488 100644 --- a/query/query/routes/query.py +++ b/query/query/routes/query.py @@ -3,16 +3,16 @@ from typing import Annotated from loguru import logger from fastapi.responses import JSONResponse -import pandas as pd -from query.model.log import QueryLog -from query.service.auth import AuthService -from query.service.log import create_log -from query.service.query import query_signals, merge_to_smallest, merge_to_largest import numpy as np import traceback +from query.model.log import QueryLog +from query.service.auth import AuthService +from query.service.log import create_log +from query.service.query import query_signals, merge_signals from query.service.token import get_token_by_id, validate_token from query.service.trip import get_trip_by_id +import pandas as pd router = APIRouter() @@ -54,9 +54,9 @@ async def get_signals( "message": "you are not authorized to access this resource", } ) - + logger.info(f"Successfully authenticated user: {user_id}") - + if vehicle_id is None: return JSONResponse( status_code=400, @@ -64,7 +64,7 @@ async def get_signals( "message": "vehicle_id is required", } ) - + if signals is None or len(signals.split(",")) == 0 or any(not s.strip() for s in signals.split(",")): return JSONResponse( status_code=400, @@ -109,30 +109,18 @@ async def get_signals( return JSONResponse( status_code=400, content={ - "message": "invalid end timestamp format", + "message": "invalid end timestamp format", } ) - + start_time = datetime.now() dfs = query_signals(vehicle_id=vehicle_id, signals=signals.split(","), start=start, end=end) - if merge == 'smallest': - merged_df, metadata = merge_to_smallest(*dfs, tolerance=tolerance, fill=fill) - elif merge == 'largest': - merged_df, metadata = merge_to_largest(*dfs, tolerance=tolerance, fill=fill) - else: - return JSONResponse( - status_code=400, - content={ - "message": "invalid merge strategy", - } - ) - - # Convert timestamps to ISO format strings and handle special float values + merged_df, metadata = merge_signals(*dfs, strategy=merge, tolerance=tolerance, fill=fill) + df_dict = merged_df.copy() - df_dict['produced_at'] = df_dict['produced_at'].dt.tz_localize('UTC').dt.strftime('%Y-%m-%dT%H:%M:%S.%fZ') - - # Replace inf/-inf and NaN values with None + df_dict['produced_at'] = df_dict['produced_at'].dt.strftime('%Y-%m-%dT%H:%M:%S.%fZ') + df_dict = df_dict.replace([np.inf, -np.inf], None) df_dict = df_dict.replace({np.nan: None}) @@ -170,7 +158,7 @@ async def get_signals( parquet_data = df_dict.to_parquet() return Response( content=parquet_data, - media_type="application/octet-stream", + media_type="application/octet-stream", headers={ "Content-Disposition": "attachment; filename=export.parquet" } @@ -198,4 +186,4 @@ async def get_signals( content={ "message": str(e), } - ) \ No newline at end of file + ) diff --git a/query/query/service/auth.py b/query/query/service/auth.py index 93e01845..88a486c2 100644 --- a/query/query/service/auth.py +++ b/query/query/service/auth.py @@ -1,12 +1,10 @@ -from typing import Optional, Dict, Any +from typing import Any import jwt from jwt import PyJWKClient -from fastapi import HTTPException, status -from datetime import datetime from loguru import logger import requests -from query.service.rincon import RinconService +from query.service.rincon import match_route class AuthService: # Class variables for configuration @@ -116,9 +114,9 @@ def get_user_from_token(cls, token: str) -> str: Get the user from the token. """ route = "/users/@me" - service = RinconService.match_route(route, "GET") + service = match_route(route, "GET") r = requests.get( - f"{service['endpoint']}{route}", + f"{service.endpoint}{route}", headers={"Authorization": f"Bearer {token}"} ) return r.json() \ No newline at end of file diff --git a/query/query/service/query.py b/query/query/service/query.py index c1f520b4..b895a3a6 100644 --- a/query/query/service/query.py +++ b/query/query/service/query.py @@ -1,207 +1,98 @@ -from functools import reduce - from loguru import logger from query.database.connection import get_db -from query.model import * import pandas as pd -import numpy as np from sqlalchemy import text -from typing import List from query.model.query import Metadata -def query_signals(vehicle_id: str, signals: list, start: str = None, end: str = None) -> list[pd.DataFrame]: - """ - Retrieves signal data within a specified time range. - - Parameters: - ----------- - vehicle_id : str - The vehicle ID to query. - signals : list or str - The signal(s) to query. Can be a single signal name (str) or a list of signal names. - start : datetime or str - The start time of the query range. If str, should be in a standard datetime format. - end : datetime or str - The end time of the query range. If str, should be in a standard datetime format. - - Returns: - -------- - list[pd.DataFrame] - A list of pandas dataframes each with two columns: produced_at, {signal}. - """ +def query_signals(vehicle_id: str, signals: list[str], start: str | None = None, end: str | None = None) -> list[pd.DataFrame]: if not vehicle_id: raise ValueError("Vehicle ID is required") - signals_str = "('" + "', '".join(signals) + "')" - query = f""" - SELECT produced_at, `name`, `value` - FROM `signal` - WHERE `name` IN {signals_str} AND `vehicle_id` = '{vehicle_id}'""" + params = {"vehicle_id": vehicle_id, "signals": tuple(signals)} + query_str = """ + SELECT produced_at, name, value + FROM signal + WHERE name IN :signals AND vehicle_id = :vehicle_id""" if start is not None: - query += f" AND produced_at > '{start}'" + query_str += " AND produced_at > :start" + params["start"] = start if end is not None: - query += f" AND produced_at < '{end}'" - - query += " ORDER BY produced_at ASC" - logger.info(f"Query: {query}") + query_str += " AND produced_at < :end" + params["end"] = end - with get_db() as db: - result = pd.read_sql(query, db.bind) - return [ - result[result['name'] == signal][['produced_at', 'value']] - .rename(columns={'value': signal}) - .reset_index(drop=True) - for signal in signals - ] - -def merge_to_smallest(*dfs: pd.DataFrame, tolerance: int = 50, fill: str = "none") -> tuple[pd.DataFrame, Metadata]: - """ - Merges multiple DataFrames to the smallest one using asof merge. - - Parameters: - ----------- - *dfs : pd.DataFrame - Variable number of DataFrames, each with 'produced_at' and one signal column - tolerance : int - The tolerance for the merge operation in milliseconds, default is 50ms - fill : str - The fill value for the remaining NaNs after the merge operation, default is "none" - Returns: - -------- - Tuple[pd.DataFrame, Metadata] - - DataFrame with merged signals aligned to shortest timeline - - Metadata object containing information about the merge operation - """ - if not dfs: - raise ValueError("At least one DataFrame must be provided") - - metadata = Metadata() - smallest = min(dfs, key=len) - merged_df = smallest.copy() - merged_df["produced_at"] = pd.to_datetime(merged_df["produced_at"]) - merged_df = merged_df.sort_values("produced_at") - - # Create a map of signal names and their lengths - initial_signal_lengths = { - df.columns[1]: len(df) for df in dfs - } + query_str += " ORDER BY produced_at ASC" + logger.info(f"Query: {query_str} | Params: {params}") - for df in dfs: - if df.equals(smallest): - continue - df["produced_at"] = pd.to_datetime(df["produced_at"]) - df = df.sort_values("produced_at") - merged_df = pd.merge_asof(merged_df, df, on='produced_at', direction='nearest', tolerance=pd.Timedelta(milliseconds=tolerance)) + with get_db() as db: + result = pd.read_sql(text(query_str).bindparams(**params), db.bind) - merged_df = merged_df.sort_values(by='produced_at') - merged_df = merged_df.reset_index(drop=True) + result["produced_at"] = pd.to_datetime(result["produced_at"], utc=True) - signal_length_deltas = { - signal: len(merged_df) - initial_signal_lengths[signal] for signal in initial_signal_lengths - } + pivoted = result.pivot_table(index="produced_at", columns="name", values="value", aggfunc="first") + pivoted = pivoted.reset_index().sort_values("produced_at") - metadata.num_rows = len(merged_df) - metadata.merge_strategy = f"smallest_{fill}" - metadata.merge_tolerance = tolerance - metadata.num_signals = len(merged_df.columns) - 1 - metadata.signal_names = merged_df.columns[1:].tolist() + return [ + pivoted[["produced_at", signal]].dropna(subset=[signal]).reset_index(drop=True) + for signal in signals + if signal in pivoted.columns + ] - metadata.start_time = merged_df["produced_at"].min() - metadata.end_time = merged_df["produced_at"].max() - metadata.total_duration = (metadata.end_time - metadata.start_time).total_seconds() * 1000 - # Calculate gaps between consecutive timestamps - time_diffs = merged_df['produced_at'].diff().dropna() - metadata.max_gap_duration = time_diffs.max().total_seconds() * 1000 - metadata.min_gap_duration = time_diffs.min().total_seconds() * 1000 - metadata.avg_gap_duration = time_diffs.mean().total_seconds() * 1000 - - # Calculate NaN counts for each signal - nan_counts = merged_df.drop('produced_at', axis=1).isna().sum() - metadata.max_nan_count = nan_counts.max() - metadata.min_nan_count = nan_counts.min() - metadata.avg_nan_count = nan_counts.mean() - - # After nan counts, fill if needed +def _apply_fill(df: pd.DataFrame, fill: str) -> pd.DataFrame: if fill == "none": - pass + return df elif fill == "forward": - merged_df = merged_df.ffill() - # Fill any remaining NaN values with 0 - merged_df = merged_df.fillna(0) + df = df.ffill() elif fill == "backward": - merged_df = merged_df.bfill() - # Fill any remaining NaN values with 0 - merged_df = merged_df.fillna(0) + df = df.bfill() elif fill == "linear": - merged_df = merged_df.interpolate(method="linear") - # Fill any remaining NaN values with 0 - merged_df = merged_df.fillna(0) + df = df.interpolate(method="linear") elif fill == "time": - merged_df = merged_df.set_index('produced_at') - merged_df = merged_df.interpolate(method='time') - merged_df = merged_df.reset_index() - # Fill any remaining NaN values with 0 - merged_df = merged_df.fillna(0) + df = df.set_index("produced_at") + df = df.interpolate(method="time") + df = df.reset_index() else: raise ValueError(f"Invalid fill value: {fill}") + return df.fillna(0) - metadata.max_row_delta = max(signal_length_deltas.values()) - metadata.min_row_delta = min(signal_length_deltas.values()) - metadata.avg_row_delta = sum(signal_length_deltas.values()) / len(signal_length_deltas) - - return merged_df, metadata -def merge_to_largest(*dfs: pd.DataFrame, tolerance: int = 50, fill: str = "none") -> tuple[pd.DataFrame, Metadata]: - """ - Merges multiple DataFrames to the largest one using asof merge. - - Parameters: - ----------- - *dfs : pd.DataFrame - Variable number of DataFrames, each with 'produced_at' and one signal column - tolerance : int - The tolerance for the merge operation in milliseconds, default is 50ms - fill : str - The fill value for the remaining NaNs after the merge operation, default is "none" - Returns: - -------- - Tuple[pd.DataFrame, Metadata] - - DataFrame with merged signals aligned to shortest timeline - - Metadata object containing information about the merge operation - """ +def merge_signals( + *dfs: pd.DataFrame, + strategy: str = "smallest", + tolerance: int = 50, + fill: str = "none", +) -> tuple[pd.DataFrame, Metadata]: if not dfs: raise ValueError("At least one DataFrame must be provided") - - metadata = Metadata() - largest = max(dfs, key=len) - merged_df = largest.copy() - merged_df["produced_at"] = pd.to_datetime(merged_df["produced_at"]) - merged_df = merged_df.sort_values("produced_at") - - # Create a map of signal names and their lengths - initial_signal_lengths = { - df.columns[1]: len(df) for df in dfs - } - for df in dfs: - if df.equals(largest): - continue - df["produced_at"] = pd.to_datetime(df["produced_at"]) - df = df.sort_values("produced_at") - merged_df = pd.merge_asof(merged_df, df, on='produced_at', direction='nearest', tolerance=pd.Timedelta(milliseconds=tolerance)) + if len(dfs) == 1: + merged_df = dfs[0].copy() + initial_signal_lengths = {merged_df.columns[1]: len(merged_df)} + else: + anchor = min(dfs, key=len) if strategy == "smallest" else max(dfs, key=len) + + initial_signal_lengths = {df.columns[1]: len(df) for df in dfs} + + merged_df = anchor.copy() + td = pd.Timedelta(milliseconds=tolerance) + for i, df in enumerate(dfs): + if df is anchor: + continue + merged_df = pd.merge_asof( + merged_df, df, on="produced_at", direction="nearest", tolerance=td, + ) - merged_df = merged_df.sort_values(by='produced_at') - merged_df = merged_df.reset_index(drop=True) + merged_df = merged_df.sort_values("produced_at").reset_index(drop=True) signal_length_deltas = { - signal: len(merged_df) - initial_signal_lengths[signal] for signal in initial_signal_lengths + signal: len(merged_df) - length for signal, length in initial_signal_lengths.items() } + metadata = Metadata() metadata.num_rows = len(merged_df) - metadata.merge_strategy = f"largest_{fill}" + metadata.merge_strategy = f"{strategy}_{fill}" metadata.merge_tolerance = tolerance metadata.num_signals = len(merged_df.columns) - 1 metadata.signal_names = merged_df.columns[1:].tolist() @@ -210,44 +101,20 @@ def merge_to_largest(*dfs: pd.DataFrame, tolerance: int = 50, fill: str = "none" metadata.end_time = merged_df["produced_at"].max() metadata.total_duration = (metadata.end_time - metadata.start_time).total_seconds() * 1000 - # Calculate gaps between consecutive timestamps - time_diffs = merged_df['produced_at'].diff().dropna() + time_diffs = merged_df["produced_at"].diff().dropna() metadata.max_gap_duration = time_diffs.max().total_seconds() * 1000 metadata.min_gap_duration = time_diffs.min().total_seconds() * 1000 metadata.avg_gap_duration = time_diffs.mean().total_seconds() * 1000 - - # Calculate NaN counts for each signal - nan_counts = merged_df.drop('produced_at', axis=1).isna().sum() + + nan_counts = merged_df.drop("produced_at", axis=1).isna().sum() metadata.max_nan_count = nan_counts.max() metadata.min_nan_count = nan_counts.min() metadata.avg_nan_count = nan_counts.mean() - # After nan counts, fill if needed - if fill == "none": - pass - elif fill == "forward": - merged_df = merged_df.ffill() - # Fill any remaining NaN values with 0 - merged_df = merged_df.fillna(0) - elif fill == "backward": - merged_df = merged_df.bfill() - # Fill any remaining NaN values with 0 - merged_df = merged_df.fillna(0) - elif fill == "linear": - merged_df = merged_df.interpolate(method="linear") - # Fill any remaining NaN values with 0 - merged_df = merged_df.fillna(0) - elif fill == "time": - merged_df = merged_df.set_index('produced_at') - merged_df = merged_df.interpolate(method='time') - merged_df = merged_df.reset_index() - # Fill any remaining NaN values with 0 - merged_df = merged_df.fillna(0) - else: - raise ValueError(f"Invalid fill value: {fill}") + merged_df = _apply_fill(merged_df, fill) metadata.max_row_delta = max(signal_length_deltas.values()) metadata.min_row_delta = min(signal_length_deltas.values()) metadata.avg_row_delta = sum(signal_length_deltas.values()) / len(signal_length_deltas) - return merged_df, metadata \ No newline at end of file + return merged_df, metadata diff --git a/query/query/service/rincon.py b/query/query/service/rincon.py index 2f033d49..29ac7306 100644 --- a/query/query/service/rincon.py +++ b/query/query/service/rincon.py @@ -1,88 +1,38 @@ from loguru import logger -import requests -from typing import Dict, Any +from rincon import RinconClient, Service, Route from query.config.config import Config -class RinconService: - @classmethod - def register_service(cls) -> Dict[str, Any]: - """ - Register the service with Rincon. - - Returns: - Dict containing the service registration response - - Raises: - Exception: If registration fails - """ - if not Config.RINCON_ENDPOINT or not Config.RINCON_USER or not Config.RINCON_PASSWORD: - logger.warning("Rincon env is not configured, skipping registration") - return None - - response = requests.post( - f"{Config.RINCON_ENDPOINT}/rincon/services", - json={ - "name": "query", - "version": Config.VERSION, - "endpoint": Config.SERVICE_ENDPOINT, - "health_check": Config.SERVICE_HEALTH_CHECK - }, - auth=(Config.RINCON_USER, Config.RINCON_PASSWORD) - ) - - if response.status_code != 200: - raise Exception(f"Failed to register with Rincon: {response.text}") - - return response.json() - - @classmethod - def register_route(cls, service_name: str = "query") -> None: - """ - Register the service route with Rincon. - - Args: - service_name: Name of the service to register the route for - - Raises: - Exception: If route registration fails - """ - if not Config.RINCON_ENDPOINT or not Config.RINCON_USER or not Config.RINCON_PASSWORD: - logger.warning("Rincon env is not configured, skipping route registration") - return - - response = requests.post( - f"{Config.RINCON_ENDPOINT}/rincon/routes", - json={ - "route": "/query/**", - "service_name": service_name, - "method": "*" - }, - auth=(Config.RINCON_USER, Config.RINCON_PASSWORD) - ) - - if response.status_code != 200: - raise Exception(f"Failed to register route with Rincon: {response.text}") - - @classmethod - def register(cls) -> None: - """ - Register both the service and its route with Rincon. - - Raises: - Exception: If registration fails - """ - service = cls.register_service() - if service: - cls.register_route() - logger.info(f"Registered service with ID: {service['id']}") - - @classmethod - def match_route(cls, route: str, method: str) -> Any: - """ - Match the requested route to the target service. - """ - r = requests.get(f"{Config.RINCON_ENDPOINT}/rincon/match?route={route}&method={method}") - if r.status_code != 200: - raise Exception(f"Failed to match route with Rincon: {r.json()['message']}") - return r.json() \ No newline at end of file +client: RinconClient | None = None + + +def init_rincon() -> None: + global client + if not Config.RINCON_ENDPOINT or not Config.RINCON_USER or not Config.RINCON_PASSWORD: + logger.warning("Rincon env is not configured, skipping registration") + return + + client = RinconClient( + url=Config.RINCON_ENDPOINT, + auth_user=Config.RINCON_USER, + auth_password=Config.RINCON_PASSWORD, + ) + service = Service( + name="query", + version=Config.VERSION, + endpoint=Config.SERVICE_ENDPOINT, + health_check=Config.SERVICE_HEALTH_CHECK, + ) + route = Route( + route="/query/**", + method="*", + service_name="query", + ) + registered = client.register(service, [route]) + logger.info(f"Registered service with ID: {registered.id}") + + +def match_route(route: str, method: str) -> Service: + if client is None: + raise RuntimeError("Rincon client is not initialized") + return client.match_route(route, method) diff --git a/query/query/service/trip.py b/query/query/service/trip.py index 7d74dec6..e0a15627 100644 --- a/query/query/service/trip.py +++ b/query/query/service/trip.py @@ -2,44 +2,27 @@ from loguru import logger import requests -from query.database.connection import get_db -from query.model import * -from sqlalchemy import text -from query.service.rincon import RinconService +from query.service.rincon import match_route + def get_all_trips() -> list[dict[str, Any]]: try: route = "/trips" - service = RinconService.match_route(route, "GET") - r = requests.get( - f"{service['endpoint']}{route}", - # headers={"Authorization": f"Bearer {token}"} - ) + service = match_route(route, "GET") + r = requests.get(f"{service.endpoint}{route}") return r.json() except Exception as e: logger.error(f"Error getting all trips: {e}") raise e + def get_trip_by_id(trip_id: str) -> dict[str, Any]: - """ - Get a trip by its ID from the trip service. - - Usage: - trip = get_trip_by_id("123") - if trip.get("id"): - print(f"Trip: {trip}") - else: - print("Trip not found") - """ try: route = f"/trips/{trip_id}" - service = RinconService.match_route(route, "GET") - r = requests.get( - f"{service['endpoint']}{route}", - # headers={"Authorization": f"Bearer {token}"} - ) + service = match_route(route, "GET") + r = requests.get(f"{service.endpoint}{route}") return r.json() except Exception as e: logger.error(f"Error getting trip by id: {e}") - raise e \ No newline at end of file + raise e diff --git a/query/query/service/vehicle.py b/query/query/service/vehicle.py index e564a2c7..31aa3dc7 100644 --- a/query/query/service/vehicle.py +++ b/query/query/service/vehicle.py @@ -2,44 +2,27 @@ from loguru import logger import requests -from query.database.connection import get_db -from query.model import * -from sqlalchemy import text -from query.service.rincon import RinconService +from query.service.rincon import match_route + def get_all_vehicles() -> list[dict[str, Any]]: try: route = "/vehicles" - service = RinconService.match_route(route, "GET") - r = requests.get( - f"{service['endpoint']}{route}", - # headers={"Authorization": f"Bearer {token}"} - ) + service = match_route(route, "GET") + r = requests.get(f"{service.endpoint}{route}") return r.json() except Exception as e: logger.error(f"Error getting all vehicles: {e}") raise e + def get_vehicle_by_id(vehicle_id: str) -> dict[str, Any]: - """ - Get a vehicle by its ID from the vehicle service. - - Usage: - vehicle = get_vehicle_by_id("123") - if vehicle.get("id"): - print(f"Vehicle: {vehicle}") - else: - print("Vehicle not found") - """ try: route = f"/vehicles/{vehicle_id}" - service = RinconService.match_route(route, "GET") - r = requests.get( - f"{service['endpoint']}{route}", - # headers={"Authorization": f"Bearer {token}"} - ) + service = match_route(route, "GET") + r = requests.get(f"{service.endpoint}{route}") return r.json() except Exception as e: logger.error(f"Error getting vehicle by id: {e}") - raise e \ No newline at end of file + raise e diff --git a/query/scripts/run.sh b/query/scripts/run.sh index 6fc2e3d2..f482c144 100755 --- a/query/scripts/run.sh +++ b/query/scripts/run.sh @@ -15,5 +15,5 @@ fi set -a . .env -poetry install -poetry run query \ No newline at end of file +uv sync +uv run query diff --git a/query/uv.lock b/query/uv.lock new file mode 100644 index 00000000..040afd16 --- /dev/null +++ b/query/uv.lock @@ -0,0 +1,1036 @@ +version = 1 +revision = 3 +requires-python = ">=3.12, <4.0" + +[[package]] +name = "annotated-types" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = 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"pyjwt[crypto]>=2.11.0,<3.0.0", "mapache-py>=3.0.1,<4.0.0", "rincon>=1.0.0,<2.0.0", + "gr-ulid>=1.1.2,<2.0.0", ] [dependency-groups] diff --git a/query/query/service/log.py b/query/query/service/log.py index 7726f4cf..7aaf2b78 100644 --- a/query/query/service/log.py +++ b/query/query/service/log.py @@ -1,5 +1,5 @@ from datetime import datetime, timezone -import uuid +import ulid from query.database.connection import get_db from query.model.log import QueryLog from sqlalchemy.orm import Session @@ -17,7 +17,7 @@ def get_log_by_id(log_id: int) -> QueryLog: return db.query(QueryLog).filter(QueryLog.id == log_id).first() def create_log(log: QueryLog) -> QueryLog: - log.id = uuid.uuid4() + log.id = ulid.make().prefixed("qlog") log.created_at = datetime.now(timezone.utc) with get_db() as db: db.add(log) diff --git a/query/query/service/token.py b/query/query/service/token.py index c2bcd91a..c75f327a 100644 --- a/query/query/service/token.py +++ b/query/query/service/token.py @@ -1,5 +1,5 @@ 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specifier = ">=1.1.2,<2.0.0" }, { name = "loguru", specifier = ">=0.7.3,<0.8.0" }, { name = "mapache-py", specifier = ">=3.0.1,<4.0.0" }, { name = "numpy", specifier = ">=2.2.3,<3.0.0" }, From 3cc8c3ccb07ad609d4d547c38390fa00d71b0173 Mon Sep 17 00:00:00 2001 From: Bharat Kathi Date: Sun, 15 Mar 2026 16:09:56 -0700 Subject: [PATCH 3/3] feat: add SKIP_AUTH_CHECK config for local development When SKIP_AUTH_CHECK=true, skip Sentinel JWKS initialization and bypass auth checks in all routes with a mock user, matching the pattern used in the auth service. --- docker-compose.yaml | 1 + query/query/config/config.py | 1 + query/query/main.py | 14 +++++++++----- query/query/routes/query.py | 5 ++++- query/query/routes/signal_definition.py | 18 +++++++++++------- query/query/routes/token.py | 5 ++++- query/query/service/auth.py | 24 +++++++----------------- 7 files changed, 37 insertions(+), 31 deletions(-) diff --git a/docker-compose.yaml b/docker-compose.yaml index f70c0aba..958fe12f 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -162,6 +162,7 @@ services: SENTINEL_URL: ${SENTINEL_URL} SENTINEL_JWKS_URL: ${SENTINEL_JWKS_URL} SENTINEL_CLIENT_ID: ${SENTINEL_CLIENT_ID} + SKIP_AUTH_CHECK: "true" nanomq: image: emqx/nanomq:latest diff --git a/query/query/config/config.py b/query/query/config/config.py index aa719af0..973890d4 100644 --- a/query/query/config/config.py +++ b/query/query/config/config.py @@ -22,6 +22,7 @@ class Config: RINCON_ENDPOINT: str = os.getenv('RINCON_ENDPOINT') # Auth settings + SKIP_AUTH_CHECK: bool = os.getenv('SKIP_AUTH_CHECK', 'false').lower() == 'true' SENTINEL_URL: str = os.getenv('SENTINEL_URL') SENTINEL_JWKS_URL: str = os.getenv('SENTINEL_JWKS_URL') SENTINEL_CLIENT_ID: str = os.getenv('SENTINEL_CLIENT_ID') diff --git a/query/query/main.py b/query/query/main.py index d573734e..44d33038 100644 --- a/query/query/main.py +++ b/query/query/main.py @@ -2,6 +2,7 @@ from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware +from loguru import logger import uvicorn from query.config.config import Config from query.database.connection import init_db @@ -13,11 +14,14 @@ async def lifespan(app: FastAPI): init_db() init_rincon() - AuthService.configure( - jwks_url=Config.SENTINEL_JWKS_URL, - issuer="https://sso.gauchoracing.com", - audience=Config.SENTINEL_CLIENT_ID - ) + if Config.SKIP_AUTH_CHECK: + logger.warning("SKIP_AUTH_CHECK is enabled, skipping Sentinel initialization") + else: + AuthService.configure( + jwks_url=Config.SENTINEL_JWKS_URL, + issuer="https://sso.gauchoracing.com", + audience=Config.SENTINEL_CLIENT_ID + ) yield def create_app(): diff --git a/query/query/routes/query.py b/query/query/routes/query.py index 54a00488..9a7ce66e 100644 --- a/query/query/routes/query.py +++ b/query/query/routes/query.py @@ -6,6 +6,7 @@ import numpy as np import traceback +from query.config.config import Config from query.model.log import QueryLog from query.service.auth import AuthService from query.service.log import create_log @@ -32,7 +33,9 @@ async def get_signals( ): user_id = None try: - if authorization and "Bearer " in authorization: + if Config.SKIP_AUTH_CHECK: + user_id = "mock-user" + elif authorization and "Bearer " in authorization: logger.info(f"Found bearer token: {authorization}") auth_token = authorization.split("Bearer ")[1] user_id = AuthService.get_user_id_from_token(auth_token) diff --git a/query/query/routes/signal_definition.py b/query/query/routes/signal_definition.py index 0671d701..d4baa122 100644 --- a/query/query/routes/signal_definition.py +++ b/query/query/routes/signal_definition.py @@ -4,11 +4,11 @@ from loguru import logger from fastapi.responses import JSONResponse import pandas as pd +from query.config.config import Config from query.service.auth import AuthService import traceback from query.service.signal_definition import get_all_signal_definitions, get_signal_definition_by_id, get_signal_definitions_by_vehicle_type -from query.service.token import create_token router = APIRouter() @@ -18,7 +18,9 @@ async def get_signal_definitions( vehicle_type: Annotated[str | None, Query()] = None, ): try: - if "Bearer " in authorization: + if Config.SKIP_AUTH_CHECK: + user_id = "mock-user" + elif authorization and "Bearer " in authorization: token = authorization.split("Bearer ")[1] user_id = AuthService.get_user_id_from_token(token) else: @@ -28,9 +30,9 @@ async def get_signal_definitions( "message": "you are not authorized to access this resource", } ) - + logger.info(f"Successfully authenticated user: {user_id}") - + if vehicle_type: definitions = get_signal_definitions_by_vehicle_type(vehicle_type) else: @@ -55,7 +57,9 @@ async def get_signal_definition( authorization: str = Header(None), ): try: - if "Bearer " in authorization: + if Config.SKIP_AUTH_CHECK: + user_id = "mock-user" + elif authorization and "Bearer " in authorization: token = authorization.split("Bearer ")[1] user_id = AuthService.get_user_id_from_token(token) else: @@ -65,9 +69,9 @@ async def get_signal_definition( "message": "you are not authorized to access this resource", } ) - + logger.info(f"Successfully authenticated user: {user_id}") - + definition = get_signal_definition_by_id(signal_definition_id) if definition is None: return JSONResponse( diff --git a/query/query/routes/token.py b/query/query/routes/token.py index c8cca554..be101dbd 100644 --- a/query/query/routes/token.py +++ b/query/query/routes/token.py @@ -4,6 +4,7 @@ from loguru import logger from fastapi.responses import JSONResponse import pandas as pd +from query.config.config import Config from query.service.auth import AuthService import traceback @@ -16,7 +17,9 @@ async def request_token( authorization: str = Header(None), ): try: - if "Bearer " in authorization: + if Config.SKIP_AUTH_CHECK: + user_id = "mock-user" + elif authorization and "Bearer " in authorization: token = authorization.split("Bearer ")[1] user_id = AuthService.get_user_id_from_token(token) else: diff --git a/query/query/service/auth.py b/query/query/service/auth.py index 88a486c2..e534266a 100644 --- a/query/query/service/auth.py +++ b/query/query/service/auth.py @@ -4,10 +4,10 @@ from loguru import logger import requests +from query.config.config import Config from query.service.rincon import match_route class AuthService: - # Class variables for configuration jwks_url: str = None issuer: str = None audience: str = None @@ -41,19 +41,10 @@ def configure(cls, jwks_url: str, issuer: str, audience: str) -> None: logger.info(f"AuthService configured with JWKS URL: {jwks_url}") @classmethod - def verify_token(cls, token: str) -> Dict[str, Any]: - """ - Verify a JWT token using the JWKS endpoint. - - Args: - token: The JWT token to verify - - Returns: - Dict containing the decoded token claims - - Raises: - HTTPException: If token verification fails - """ + def verify_token(cls, token: str) -> dict[str, Any]: + if Config.SKIP_AUTH_CHECK: + return {"sub": "mock-user"} + if not cls.jwks_client: raise Exception("AuthService not configured. Call configure() first.") @@ -110,9 +101,8 @@ def get_user_id_from_token(cls, token: str) -> str: @classmethod def get_user_from_token(cls, token: str) -> str: - """ - Get the user from the token. - """ + if Config.SKIP_AUTH_CHECK: + return {"id": "mock-user", "email": "mock@gauchoracing.com"} route = "/users/@me" service = match_route(route, "GET") r = requests.get(