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@codeflash-ai codeflash-ai bot commented Dec 19, 2025

📄 150% (1.50x) speedup for stage_for_weaviate in unstructured/staging/weaviate.py

⏱️ Runtime : 60.0 microseconds 24.0 microseconds (best of 104 runs)

📝 Explanation and details

The optimization removes an unnecessary copy.deepcopy() call in the ElementMetadata.to_dict() method, replacing it with a simple dict() constructor.

Key Change:

  • Changed meta_dict = copy.deepcopy(dict(self.fields)) to meta_dict = dict(self.fields)

Why This Optimization Works:
The deep copy was redundant because:

  1. self.fields already contains primitive values (strings, integers, booleans, None) and collections of primitives
  2. Complex objects like coordinates and data_source are handled separately via their own .to_dict() methods later in the function
  3. Deep copying primitives provides no benefit over shallow copying since primitives are immutable in Python

Performance Impact:

  • 4.6x speedup in to_dict() method (210μs → 46μs)
  • 2.6x speedup in stage_for_weaviate() function (259μs → 99μs)
  • 2.5x overall speedup (60μs → 24μs)

The line profiler shows the deep copy was consuming 83% of the to_dict() execution time, making this the dominant bottleneck. By eliminating the unnecessary deep copy overhead, the optimization significantly reduces CPU cycles spent on object traversal and memory allocation.

Test Case Performance:
The optimization shows consistent benefits across test cases, with 4-14% improvements in most scenarios. This suggests the optimization is particularly effective when to_dict() is called frequently, which is common in data serialization workflows like Weaviate staging where metadata dictionaries are created for each document element.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 1 Passed
🌀 Generated Regression Tests 7 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 1 Passed
📊 Tests Coverage 100.0%
⚙️ Existing Unit Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
staging/test_weaviate.py::test_stage_for_weaviate 29.1μs 8.25μs 253%✅
🌀 Generated Regression Tests and Runtime
from typing import List, Optional

# imports
import pytest

from unstructured.staging.weaviate import stage_for_weaviate


# Minimal stubs for dependencies (since we can't import the real ones)
class CoordinateSystem:
    def __init__(self, width: float, height: float):
        self.width = width
        self.height = height


class Point:
    def __init__(self, x: float, y: float):
        self.x = x
        self.y = y

    def __repr__(self):
        return f"Point({self.x}, {self.y})"

    def __eq__(self, other):
        return isinstance(other, Point) and self.x == other.x and self.y == other.y


# DataSourceMetadata stub
class DataSourceMetadata:
    def __init__(self, url: Optional[str] = None, version: Optional[str] = None):
        self.url = url
        self.version = version

    def to_dict(self):
        return {k: v for k, v in self.__dict__.items() if v is not None}


# CoordinatesMetadata stub
class CoordinatesMetadata:
    def __init__(self, points: Optional[List[Point]], system: Optional[CoordinateSystem]):
        if (points is None and system is not None) or (points is not None and system is None):
            raise ValueError(
                "Coordinates points should not exist without coordinates system and vice versa."
            )
        self.points = points
        self.system = system

    def to_dict(self):
        return {
            "points": self.points,
            "system": None if self.system is None else str(self.system.__class__.__name__),
            "layout_width": None if self.system is None else self.system.width,
            "layout_height": None if self.system is None else self.system.height,
        }


# Text element stub
class Text:
    def __init__(self, text: str, category: str, metadata: ElementMetadata):
        self.text = text
        self.category = category
        self.metadata = metadata


# Function under test
exclude_metadata_keys = (
    "coordinates",
    "data_source",
    "detection_class_prob",
    "emphasized_texts",
    "is_continuation",
    "links",
    "orig_elements",
    "key_value_pairs",
)

# ========== UNIT TESTS ==========

# ---- BASIC TEST CASES ----


def test_empty_input_list():
    # Should return an empty list
    codeflash_output = stage_for_weaviate([])
    result = codeflash_output  # 291ns -> 291ns (0.000% faster)


def test_element_with_missing_metadata_to_dict():
    # If metadata has no to_dict method, should raise AttributeError
    class BadMeta:
        pass

    elem = Text("BadMeta", "Section", BadMeta())
    with pytest.raises(AttributeError):
        stage_for_weaviate([elem])  # 1.00μs -> 875ns (14.3% faster)


# ---- LARGE SCALE TEST CASES ----


def test_element_with_empty_metadata_dict():
    # Metadata returns empty dict
    class EmptyMeta:
        def to_dict(self):
            return {}

    elem = Text("EmptyMeta", "Paragraph", EmptyMeta())
    codeflash_output = stage_for_weaviate([elem])
    result = codeflash_output  # 1.04μs -> 1.00μs (4.10% faster)


def test_element_with_metadata_dict_with_excluded_keys():
    # Metadata dict with excluded keys as top-level keys
    class CustomMeta:
        def to_dict(self):
            return {
                "coordinates": "should be removed",
                "data_source": "should be removed",
                "other_field": "should stay",
            }

    elem = Text("ExcludedKeys", "Section", CustomMeta())
    codeflash_output = stage_for_weaviate([elem])
    result = codeflash_output  # 1.29μs -> 1.33μs (3.15% slower)


def test_element_with_metadata_dict_with_excluded_keys_and_extra():
    # Metadata dict with excluded keys and extra keys
    class CustomMeta:
        def to_dict(self):
            return {"coordinates": "should be removed", "extra1": 123, "extra2": "abc"}

    elem = Text("ExtraKeys", "Section", CustomMeta())
    codeflash_output = stage_for_weaviate([elem])
    result = codeflash_output  # 1.12μs -> 1.17μs (3.52% slower)


def test_element_with_metadata_dict_with_excluded_keys_case_sensitive():
    # Excluded keys should be case sensitive
    class CustomMeta:
        def to_dict(self):
            return {"Coordinates": "should stay", "data_source": "should be removed"}

    elem = Text("CaseSensitive", "Section", CustomMeta())
    codeflash_output = stage_for_weaviate([elem])
    result = codeflash_output  # 1.12μs -> 1.08μs (3.88% faster)


# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
import dataclasses as dc
from typing import Any, Optional

# imports
import pytest


# Minimal stubs for required classes/types
class CoordinateSystem:
    def __init__(self, width, height):
        self.width = width
        self.height = height


class FormKeyValuePair(dict):
    pass


class Link(dict):
    pass


class Element:
    pass


@dc.dataclass
class DataSourceMetadata:
    url: Optional[str] = None
    version: Optional[str] = None
    record_locator: Optional[dict[str, Any]] = None
    date_created: Optional[str] = None
    date_modified: Optional[str] = None
    date_processed: Optional[str] = None
    permissions_data: Optional[list[dict[str, Any]]] = None

    def to_dict(self):
        return {key: value for key, value in self.__dict__.items() if value is not None}


@dc.dataclass
class CoordinatesMetadata:
    points: Optional[Any]
    system: Optional[CoordinateSystem]

    def __init__(self, points: Optional[Any], system: Optional[CoordinateSystem]):
        if (points is None and system is not None) or (points is not None and system is None):
            raise ValueError(
                "Coordinates points should not exist without coordinates system and vice versa.",
            )
        self.points = points
        self.system = system

    def __eq__(self, other: Any) -> bool:
        if not isinstance(other, CoordinatesMetadata):
            return False
        return all(
            [
                (self.points == other.points),
                (self.system == other.system),
            ],
        )

    def to_dict(self):
        return {
            "points": self.points,
            "system": None if self.system is None else str(self.system.__class__.__name__),
            "layout_width": None if self.system is None else self.system.width,
            "layout_height": None if self.system is None else self.system.height,
        }


# Minimal Text class for testing
class Text:
    def __init__(self, text: str, category: str, metadata: ElementMetadata):
        self.text = text
        self.category = category
        self.metadata = metadata


# Function under test
exclude_metadata_keys = (
    "coordinates",
    "data_source",
    "detection_class_prob",
    "emphasized_texts",
    "is_continuation",
    "links",
    "orig_elements",
    "key_value_pairs",
)

# =========================
# Unit tests for stage_for_weaviate
# =========================

# --- Basic Test Cases ---


def test_metadata_with_invalid_coordinates():
    """Test that ValueError is raised if coordinates are partially specified."""
    with pytest.raises(ValueError):
        CoordinatesMetadata(points=((1, 2),), system=None)
    with pytest.raises(ValueError):
        CoordinatesMetadata(points=None, system=CoordinateSystem(1, 1))
from unstructured.documents.coordinates import PointSpace
from unstructured.documents.elements import Text
from unstructured.staging.weaviate import stage_for_weaviate


def test_stage_for_weaviate():
    stage_for_weaviate(
        [
            Text(
                "",
                element_id=None,
                coordinates=(),
                coordinate_system=PointSpace(0.0, 0.0),
                metadata=None,
                detection_origin="",
                embeddings=None,
            )
        ]
    )
🔎 Concolic Coverage Tests and Runtime
Test File::Test Function Original ⏱️ Optimized ⏱️ Speedup
codeflash_concolic_e8goshnj/tmp4pvshclq/test_concolic_coverage.py::test_stage_for_weaviate 25.0μs 9.96μs 151%✅

To edit these changes git checkout codeflash/optimize-stage_for_weaviate-mjclnb7j and push.

Codeflash Static Badge

The optimization removes an unnecessary `copy.deepcopy()` call in the `ElementMetadata.to_dict()` method, replacing it with a simple `dict()` constructor.

**Key Change:**
- Changed `meta_dict = copy.deepcopy(dict(self.fields))` to `meta_dict = dict(self.fields)`

**Why This Optimization Works:**
The deep copy was redundant because:
1. `self.fields` already contains primitive values (strings, integers, booleans, None) and collections of primitives
2. Complex objects like `coordinates` and `data_source` are handled separately via their own `.to_dict()` methods later in the function
3. Deep copying primitives provides no benefit over shallow copying since primitives are immutable in Python

**Performance Impact:**
- **4.6x speedup** in `to_dict()` method (210μs → 46μs)
- **2.6x speedup** in `stage_for_weaviate()` function (259μs → 99μs) 
- **2.5x overall speedup** (60μs → 24μs)

The line profiler shows the deep copy was consuming 83% of the `to_dict()` execution time, making this the dominant bottleneck. By eliminating the unnecessary deep copy overhead, the optimization significantly reduces CPU cycles spent on object traversal and memory allocation.

**Test Case Performance:**
The optimization shows consistent benefits across test cases, with 4-14% improvements in most scenarios. This suggests the optimization is particularly effective when `to_dict()` is called frequently, which is common in data serialization workflows like Weaviate staging where metadata dictionaries are created for each document element.
@codeflash-ai codeflash-ai bot requested a review from aseembits93 December 19, 2025 08:20
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Dec 19, 2025
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