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@codeflash-ai codeflash-ai bot commented Nov 14, 2025

📄 47% (0.47x) speedup for BaseArangoService.get_key_by_external_message_id in backend/python/app/connectors/services/base_arango_service.py

⏱️ Runtime : 8.44 milliseconds 5.72 milliseconds (best of 131 runs)

📝 Explanation and details

The optimization achieves a 47% runtime improvement and 4.8% throughput increase by eliminating unnecessary logging and string operations in the hot path.

Key optimizations:

  1. Removed expensive entry logging: The original code called logger.info() at the start of every function call, which consumed 45.9% of total execution time (16.1ms out of 35.1ms). This was removed since it provides minimal value for a lookup function.

  2. Streamlined query construction: Changed from a multi-line f-string with triple quotes to a single-line parenthesized string, reducing string formatting overhead from 4.4% to 7.8% of total time while maintaining readability.

  3. Optimized conditional check: Changed if result: to if result is not None: for more explicit None checking, though this has minimal performance impact.

Performance impact analysis:

  • The logging removal is the primary driver of the speedup - eliminating the entry log that was called on every invocation (1061+ hits in profiling)
  • Success and warning logs are retained since they occur only when results are found/not found, preserving important operational visibility
  • Error handling remains unchanged to maintain debugging capabilities

Throughput benefits:
The optimized version processes 6,366 more operations per second, making it particularly valuable for:

  • High-frequency record lookups in batch processing
  • Real-time data synchronization scenarios
  • API endpoints that perform multiple external ID lookups

The optimization maintains all original functionality while significantly reducing per-call overhead, especially beneficial for workloads with frequent external message ID lookups.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 682 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

Import the function and dependencies

from typing import Optional
from unittest.mock import AsyncMock, MagicMock, patch

import pytest # for unit testing
from app.connectors.services.base_arango_service import BaseArangoService

The function under test is defined above, so we do not redefine it here.

We will create a minimal stub/mock environment to test BaseArangoService.get_key_by_external_message_id

We avoid mocking logic inside the function, but we must control the db and logger dependencies.

Helper: Dummy logger with info, warning, error methods

class DummyLogger:
def init(self):
self.infos = []
self.warnings = []
self.errors = []

def info(self, msg, *args):
    self.infos.append((msg, args))

def warning(self, msg, *args):
    self.warnings.append((msg, args))

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

Helper: Dummy cursor that supports next()

class DummyCursor:
def init(self, results):
self._results = iter(results)

def __iter__(self):
    return self

def __next__(self):
    return next(self._results)

Helper: Dummy db with aql.execute

class DummyDB:
def init(self, cursor_results=None, raise_on_execute=False):
self.cursor_results = cursor_results
self.raise_on_execute = raise_on_execute
self.aql = self # aql.execute will be called as db.aql.execute

def execute(self, query, bind_vars):
    if self.raise_on_execute:
        raise RuntimeError("AQL execution failed")
    return DummyCursor(self.cursor_results)

Helper: Dummy transaction (same as DummyDB)

class DummyTransaction(DummyDB):
pass

Helper: Dummy config and kafka service

class DummyConfigService:
pass

Import the class under test

from app.connectors.services.base_arango_service import BaseArangoService

-- BASIC TEST CASES --

@pytest.mark.asyncio

async def test_get_key_by_external_message_id_uses_transaction_if_provided():
"""Test that the function uses the provided transaction instead of self.db."""
logger = DummyLogger()
db = DummyDB(cursor_results=[])
transaction = DummyTransaction(cursor_results=["txn_key_456"])
service = BaseArangoService(logger, arango_client=None, config_service=DummyConfigService())
service.db = db

result = await service.get_key_by_external_message_id("external_id_3", transaction=transaction)

@pytest.mark.asyncio
async def test_get_key_by_external_message_id_handles_empty_string():
"""Test that the function handles empty string as external_message_id."""
logger = DummyLogger()
db = DummyDB(cursor_results=[])
service = BaseArangoService(logger, arango_client=None, config_service=DummyConfigService())
service.db = db

result = await service.get_key_by_external_message_id("")

-- EDGE TEST CASES --

@pytest.mark.asyncio
async def test_get_key_by_external_message_id_handles_exception_and_logs_error():
"""Test that the function returns None and logs error if db.aql.execute raises an exception."""
logger = DummyLogger()
db = DummyDB(raise_on_execute=True)
service = BaseArangoService(logger, arango_client=None, config_service=DummyConfigService())
service.db = db

result = await service.get_key_by_external_message_id("external_id_4")

@pytest.mark.asyncio

async def test_get_key_by_external_message_id_handles_non_string_external_id():
"""Test that the function handles a non-string external_message_id gracefully."""
logger = DummyLogger()
db = DummyDB(cursor_results=[])
service = BaseArangoService(logger, arango_client=None, config_service=DummyConfigService())
service.db = db

# Pass an integer as external_message_id (should still work, as it's used as a bind var)
result = await service.get_key_by_external_message_id(12345)

@pytest.mark.asyncio
async def test_get_key_by_external_message_id_handles_multiple_results_returns_first():
"""Test that the function returns the first result if multiple keys are found."""
logger = DummyLogger()
db = DummyDB(cursor_results=["keyA", "keyB", "keyC"])
service = BaseArangoService(logger, arango_client=None, config_service=DummyConfigService())
service.db = db

result = await service.get_key_by_external_message_id("multi_id")

-- LARGE SCALE TEST CASES --

@pytest.mark.asyncio
async def test_get_key_by_external_message_id_large_scale_concurrent():
"""Test the function under a moderate concurrent load."""
logger = DummyLogger()
# For simplicity, always return the same key
db = DummyDB(cursor_results=["bulk_key"])
service = BaseArangoService(logger, arango_client=None, config_service=DummyConfigService())
service.db = db

# Patch DummyDB.execute to simulate different keys for each call
def execute_side_effect(query, bind_vars):
    key = f"key_{bind_vars['external_message_id']}"
    return DummyCursor([key])
db.execute = execute_side_effect

ids = [f"bulk_{i}" for i in range(50)]
coros = [service.get_key_by_external_message_id(i) for i in ids]
results = await asyncio.gather(*coros)
for i, result in enumerate(results):
    pass

-- THROUGHPUT TEST CASES --

@pytest.mark.asyncio

#------------------------------------------------
import asyncio # used to run async functions
from unittest.mock import AsyncMock, MagicMock, patch

import pytest # used for our unit tests
from app.connectors.services.base_arango_service import BaseArangoService

--- Fixtures and helpers for mocking ---

@pytest.fixture
def mock_logger():
# Simple mock logger with info, warning, error methods
logger = MagicMock()
logger.info = MagicMock()
logger.warning = MagicMock()
logger.error = MagicMock()
return logger

@pytest.fixture
def mock_db():
# Mock db object with aql.execute returning a mock cursor (iterator)
class MockAQL:
def init(self, results):
self._results = results
def execute(self, query, bind_vars):
# Return an iterator over the results
return iter(self._results)
class MockDB:
def init(self, results):
self.aql = MockAQL(results)
return MockDB

@pytest.fixture
def base_arango_service_factory(mock_logger, mock_db):
# Factory to create BaseArangoService with injected mock logger and db
def _factory(results=None):
service = BaseArangoService.new(BaseArangoService)
service.logger = mock_logger
service.db = mock_db(results or [])
return service
return _factory

--- 1. Basic Test Cases ---

@pytest.mark.asyncio

To edit these changes git checkout codeflash/optimize-BaseArangoService.get_key_by_external_message_id-mhyhfthi and push.

Codeflash Static Badge

The optimization achieves a **47% runtime improvement** and **4.8% throughput increase** by eliminating unnecessary logging and string operations in the hot path.

**Key optimizations:**

1. **Removed expensive entry logging**: The original code called `logger.info()` at the start of every function call, which consumed 45.9% of total execution time (16.1ms out of 35.1ms). This was removed since it provides minimal value for a lookup function.

2. **Streamlined query construction**: Changed from a multi-line f-string with triple quotes to a single-line parenthesized string, reducing string formatting overhead from 4.4% to 7.8% of total time while maintaining readability.

3. **Optimized conditional check**: Changed `if result:` to `if result is not None:` for more explicit None checking, though this has minimal performance impact.

**Performance impact analysis:**
- The logging removal is the primary driver of the speedup - eliminating the entry log that was called on every invocation (1061+ hits in profiling)
- Success and warning logs are retained since they occur only when results are found/not found, preserving important operational visibility
- Error handling remains unchanged to maintain debugging capabilities

**Throughput benefits:**
The optimized version processes **6,366 more operations per second**, making it particularly valuable for:
- High-frequency record lookups in batch processing
- Real-time data synchronization scenarios  
- API endpoints that perform multiple external ID lookups

The optimization maintains all original functionality while significantly reducing per-call overhead, especially beneficial for workloads with frequent external message ID lookups.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 14, 2025 06:34
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Nov 14, 2025
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