Skip to content

Conversation

@codeflash-ai
Copy link

@codeflash-ai codeflash-ai bot commented Oct 30, 2025

📄 14% (0.14x) speedup for ArangoService.get_document in backend/python/app/services/graph_db/arango/arango.py

⏱️ Runtime : 9.78 milliseconds 8.55 milliseconds (best of 174 runs)

📝 Explanation and details

The optimized code achieves a 14% runtime improvement and 3% throughput improvement through several key optimizations:

Primary Optimizations:

  1. Reduced attribute lookups: Caching self.db in a local variable db eliminates repeated self. attribute access, which is measurably faster in Python's execution model.

  2. Simplified exception handling: The original code used nested try-except blocks, creating two separate exception handling paths. The optimized version consolidates this into a single try-except, reducing Python's exception handling overhead.

  3. Eliminated redundant database connectivity checks: The original code checked if not self.db inside the outer try block, then accessed self.db again for collection operations. The optimized version performs the check once on the cached local variable.

Performance Impact Analysis:

From the line profiler results, the most expensive operations are:

  • collection.get(document_key) (38-40% of total time)
  • self.db.collection(collection_name) (~20% of total time)
  • Database connectivity checks (~20% of total time)

The optimization reduces overhead around these expensive operations without changing their core behavior.

Test Case Performance:
The optimizations are particularly effective for:

  • High-frequency document retrieval (as shown in large-scale tests with 100+ concurrent operations)
  • Mixed success/failure scenarios where both found and missing documents are accessed
  • Error-prone environments where collection or database exceptions occur frequently

The optimized version maintains identical behavior - same return values, same error logging patterns, same exception handling - while executing more efficiently through reduced Python interpreter overhead.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 485 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import asyncio  # used to run async functions
# function to test
import logging
from typing import Any, Dict, Optional, Union
from unittest.mock import AsyncMock, MagicMock

import pytest  # used for our unit tests
from app.services.graph_db.arango.arango import ArangoService

logger = logging.getLogger(__name__)

class IGraphService:
    pass
from app.services.graph_db.arango.arango import ArangoService

# ---------------------- UNIT TESTS ----------------------

@pytest.fixture
def arango_service():
    # Set up a basic ArangoService with a mock logger and config
    service = ArangoService(logger=logging.getLogger("test"), config_service={})
    return service

@pytest.fixture
def mock_db():
    # Create a mock db object with a 'collection' method
    mock_db = MagicMock()
    mock_collection = MagicMock()
    mock_db.collection.return_value = mock_collection
    return mock_db, mock_collection

# 1. Basic Test Cases

@pytest.mark.asyncio


async def test_get_document_returns_none_if_db_not_connected(arango_service):
    """
    Test that get_document returns None if db is not connected.
    """
    arango_service.db = None  # Simulate not connected
    result = await arango_service.get_document("any_collection", "any_key")

# 2. Edge Test Cases

@pytest.mark.asyncio
async def test_get_document_handles_collection_exception(arango_service):
    """
    Test that get_document returns None if db.collection raises an exception.
    """
    class FakeDB:
        def collection(self, name):
            raise Exception("Collection error")
    arango_service.db = FakeDB()
    result = await arango_service.get_document("bad_collection", "key")

@pytest.mark.asyncio


async def test_get_document_handles_unexpected_exception(arango_service):
    """
    Test that get_document returns None if an unexpected exception is raised.
    """
    class FakeDB:
        def collection(self, name):
            raise RuntimeError("Unexpected error")
    arango_service.db = FakeDB()
    result = await arango_service.get_document("test_collection", "key")

# 3. Large Scale Test Cases

@pytest.mark.asyncio




#------------------------------------------------
import asyncio  # used to run async functions
# --- BEGIN: Function under test (copied exactly as provided) ---
import logging
from logging import Logger
from typing import Any, Dict, Optional, Union

import pytest  # used for our unit tests
from app.config.configuration_service import ConfigurationService
from app.services.graph_db.arango.arango import ArangoService
from app.services.graph_db.arango.config import ArangoConfig
from app.services.graph_db.interface.graph_db import IGraphService
from arango.client import ArangoClient

logger = logging.getLogger(__name__)
from app.services.graph_db.arango.arango import \
    ArangoService  # --- END: Function under test ---

# --- BEGIN: Unit test helpers and fixtures ---

class DummyLogger:
    """A dummy logger to capture error calls for testing."""
    def __init__(self):
        self.errors = []

    def error(self, msg):
        self.errors.append(msg)

class DummyCollection:
    """A dummy collection to simulate ArangoDB collection behavior."""
    def __init__(self, documents):
        self.documents = documents

    def get(self, key):
        # Simulate document retrieval or not found
        if key in self.documents:
            return self.documents[key]
        raise Exception("Document not found")

class DummyDb:
    """A dummy database to simulate ArangoDB database behavior."""
    def __init__(self, collections):
        self.collections = collections  # dict: collection_name -> DummyCollection

    def collection(self, name):
        if name in self.collections:
            return self.collections[name]
        # Simulate collection not found
        raise Exception("Collection not found")

# --- END: Unit test helpers and fixtures ---

# --- BEGIN: Unit tests ---

@pytest.mark.asyncio
async def test_get_document_basic_success():
    """Basic: Test successful document retrieval."""
    logger = DummyLogger()
    config = None  # Not used in test
    service = ArangoService(logger, config)
    # Setup dummy db with one collection and one document
    service.db = DummyDb({
        "test_collection": DummyCollection({
            "doc1": {"_key": "doc1", "value": 42}
        })
    })
    # Await the async function
    result = await service.get_document("test_collection", "doc1")

@pytest.mark.asyncio
async def test_get_document_basic_not_found():
    """Basic: Test document not found scenario."""
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    service.db = DummyDb({
        "test_collection": DummyCollection({
            "doc1": {"_key": "doc1", "value": 42}
        })
    })
    # Document key does not exist
    result = await service.get_document("test_collection", "missing_doc")

@pytest.mark.asyncio
async def test_get_document_basic_collection_not_found():
    """Basic: Test collection not found scenario."""
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    service.db = DummyDb({
        "other_collection": DummyCollection({
            "doc1": {"_key": "doc1", "value": 42}
        })
    })
    # Collection does not exist
    result = await service.get_document("test_collection", "doc1")

@pytest.mark.asyncio
async def test_get_document_basic_db_not_connected():
    """Basic: Test when db is not connected (None)."""
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    service.db = None  # Simulate not connected
    result = await service.get_document("test_collection", "doc1")

@pytest.mark.asyncio
async def test_get_document_edge_document_is_none():
    """Edge: Test when document exists but is None (simulate deletion)."""
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    service.db = DummyDb({
        "test_collection": DummyCollection({
            "doc1": None  # Simulate a document that was deleted
        })
    })
    result = await service.get_document("test_collection", "doc1")

@pytest.mark.asyncio
async def test_get_document_edge_concurrent_access():
    """Edge: Test concurrent access to get_document for different keys."""
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    service.db = DummyDb({
        "test_collection": DummyCollection({
            "doc1": {"_key": "doc1", "value": 1},
            "doc2": {"_key": "doc2", "value": 2},
            "doc3": {"_key": "doc3", "value": 3}
        })
    })
    # Run multiple get_document calls concurrently
    results = await asyncio.gather(
        service.get_document("test_collection", "doc1"),
        service.get_document("test_collection", "doc2"),
        service.get_document("test_collection", "doc3"),
        service.get_document("test_collection", "missing_doc"),
    )

@pytest.mark.asyncio
async def test_get_document_edge_exception_in_collection_get():
    """Edge: Test exception raised inside collection.get (simulate DB error)."""
    class ErrorCollection(DummyCollection):
        def get(self, key):
            raise Exception("Unexpected DB error")
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    service.db = DummyDb({
        "test_collection": ErrorCollection({})
    })
    result = await service.get_document("test_collection", "doc1")

@pytest.mark.asyncio
async def test_get_document_edge_exception_in_db_collection():
    """Edge: Test exception raised inside db.collection (simulate DB error)."""
    class ErrorDb(DummyDb):
        def collection(self, name):
            raise Exception("DB connection error")
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    service.db = ErrorDb({})
    result = await service.get_document("test_collection", "doc1")

@pytest.mark.asyncio
async def test_get_document_large_scale_many_documents():
    """Large Scale: Test retrieving many documents concurrently."""
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    # Create 100 documents
    docs = {f"doc{i}": {"_key": f"doc{i}", "value": i} for i in range(100)}
    service.db = DummyDb({
        "test_collection": DummyCollection(docs)
    })
    # Concurrently retrieve all documents
    tasks = [service.get_document("test_collection", f"doc{i}") for i in range(100)]
    results = await asyncio.gather(*tasks)
    # Assert all documents are retrieved correctly
    for i, result in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_get_document_large_scale_missing_documents():
    """Large Scale: Test retrieving many missing documents concurrently."""
    logger = DummyLogger()
    config = None
    service = ArangoService(logger, config)
    # Only 10 documents exist, request 100
    docs = {f"doc{i}": {"_key": f"doc{i}", "value": i} for i in range(10)}
    service.db = DummyDb({
        "test_collection": DummyCollection(docs)
    })
    # Concurrently retrieve all documents (90 missing)
    tasks = [service.get_document("test_collection", f"doc{i}") for i in range(100)]
    results = await asyncio.gather(*tasks)
    # First 10 should exist, rest should be None
    for i in range(10):
        pass
    for i in range(10, 100):
        pass

@pytest.mark.asyncio

To edit these changes git checkout codeflash/optimize-ArangoService.get_document-mhe2t849 and push.

Codeflash Static Badge

The optimized code achieves a **14% runtime improvement** and **3% throughput improvement** through several key optimizations:

**Primary Optimizations:**

1. **Reduced attribute lookups**: Caching `self.db` in a local variable `db` eliminates repeated `self.` attribute access, which is measurably faster in Python's execution model.

2. **Simplified exception handling**: The original code used nested `try-except` blocks, creating two separate exception handling paths. The optimized version consolidates this into a single `try-except`, reducing Python's exception handling overhead.

3. **Eliminated redundant database connectivity checks**: The original code checked `if not self.db` inside the outer try block, then accessed `self.db` again for collection operations. The optimized version performs the check once on the cached local variable.

**Performance Impact Analysis:**

From the line profiler results, the most expensive operations are:
- `collection.get(document_key)` (38-40% of total time)
- `self.db.collection(collection_name)` (~20% of total time)  
- Database connectivity checks (~20% of total time)

The optimization reduces overhead around these expensive operations without changing their core behavior.

**Test Case Performance:**
The optimizations are particularly effective for:
- **High-frequency document retrieval** (as shown in large-scale tests with 100+ concurrent operations)
- **Mixed success/failure scenarios** where both found and missing documents are accessed
- **Error-prone environments** where collection or database exceptions occur frequently

The optimized version maintains identical behavior - same return values, same error logging patterns, same exception handling - while executing more efficiently through reduced Python interpreter overhead.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 30, 2025 23:49
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Oct 30, 2025
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant