⚡️ Speed up method TeamsDataSource.teams_update_operations by 13%

[codeflash-ai]

📄 13% (0.13x) speedup for TeamsDataSource.teams_update_operations in backend/python/app/sources/external/microsoft/teams/teams.py

⏱️ Runtime : 118 milliseconds → 105 milliseconds (best of 34 runs)

📝 Explanation and details

The optimized code achieves a 12% runtime improvement and 13.3% throughput increase through strategic optimizations in the _handle_teams_response method:

Key Optimizations:

1. Eliminated unnecessary variable assignments: Removed the initial success = True and error_msg = None assignments that were overwritten in most code paths, reducing memory allocations and CPU cycles.

2. Implemented early return pattern: Each error condition now returns immediately upon detection instead of setting variables and continuing to a single return point. This eliminates redundant condition checks and variable assignments in the common case.

3. Streamlined control flow: The optimized version reduces the number of executed lines from ~900 hits across multiple assignments to direct returns, as shown in the line profiler data where the optimized version has significantly fewer total time units (0.0021684s vs 0.00314814s).

Performance Impact:
The line profiler shows the most significant improvements in the _handle_teams_response method, where the total execution time decreased by ~31%. The teams_update_operations method also benefits with a ~7% reduction in time spent calling _handle_teams_response.

Workload Suitability:
These optimizations are particularly effective for:

• High-frequency API response processing where _handle_teams_response is called repeatedly
• Concurrent workloads as demonstrated by the large-scale test cases (100+ concurrent operations)
• Mixed success/error scenarios where early returns prevent unnecessary computation in error paths

The optimizations maintain identical behavior and error handling while reducing computational overhead, making them especially valuable in production environments with high API throughput requirements.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 1023 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

import asyncio

Copy the function to test EXACTLY as provided, with the class and all methods

import logging
from typing import Any, Dict, Optional

import pytest
from app.sources.external.microsoft.teams.teams import TeamsDataSource

class DummyPatchResponse:
"""Mock response object for .patch() calls."""
def init(self, data=None, error=None, code=None, message=None):
self.data = data
self.error = error
self.code = code
self.message = message

def __repr__(self):
    return f"DummyPatchResponse(data={self.data}, error={self.error}, code={self.code}, message={self.message})"

class DummyByOperationId:
"""Mock for .by_operation_id()"""
def init(self, patch_response):
self._patch_response = patch_response

async def patch(self, body=None):
    # Simulate async patch call
    if isinstance(self._patch_response, Exception):
        raise self._patch_response
    return self._patch_response

class DummyOperations:
"""Mock for .operations"""
def init(self, patch_response):
self._patch_response = patch_response

def by_operation_id(self, operation_id):
    return DummyByOperationId(self._patch_response)

class DummyTeams:
"""Mock for .teams"""
def init(self, patch_response):
self._patch_response = patch_response

def by_team_id(self, team_id):
    return DummyOperations(self._patch_response)

class DummyClient:
"""Mock for the underlying MSGraphClient client."""
def init(self, patch_response):
self.teams = DummyTeams(patch_response)
self.me = True # Used for hasattr(self.client, "me") check

class DummyMSGraphClient:
"""Mock for MSGraphClient wrapper."""
def init(self, patch_response):
self._client = DummyClient(patch_response)

def get_client(self):
    return self

def get_ms_graph_service_client(self):
    return self._client

=========================

Unit Tests for teams_update_operations

=========================

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

@pytest.mark.asyncio
async def test_teams_update_operations_basic_success():
"""Test basic successful update operation with valid response."""
patch_response = DummyPatchResponse(data={"result": "ok"})
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("team123", "op456", body={"foo": "bar"})

@pytest.mark.asyncio
async def test_teams_update_operations_basic_error_attr():
"""Test response with .error attribute triggers error handling."""
patch_response = DummyPatchResponse(error="Operation failed")
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamX", "opY")

@pytest.mark.asyncio
async def test_teams_update_operations_basic_error_dict():
"""Test response as dict with 'error' key triggers error handling."""
patch_response = {"error": {"code": "BadRequest", "message": "Invalid input"}}
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamA", "opB")

@pytest.mark.asyncio
async def test_teams_update_operations_basic_error_code_message():
"""Test response with .code and .message attributes triggers error handling."""
patch_response = DummyPatchResponse(code="Forbidden", message="Access denied")
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamC", "opD")

@pytest.mark.asyncio
async def test_teams_update_operations_basic_none_response():
"""Test None response triggers empty response error."""
patch_response = None
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamE", "opF")

-------- EDGE TEST CASES --------

@pytest.mark.asyncio
async def test_teams_update_operations_exception_in_patch():
"""Test exception raised in patch call is handled gracefully."""
patch_response = RuntimeError("Network error")
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamG", "opH")

@pytest.mark.asyncio
async def test_teams_update_operations_error_string_dict():
"""Test error as a string in a dict triggers error handling."""
patch_response = {"error": "Something went wrong"}
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamI", "opJ")

@pytest.mark.asyncio
async def test_teams_update_operations_error_dict_missing_code_message():
"""Test error dict missing code/message keys triggers fallback."""
patch_response = {"error": {"foo": "bar"}}
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamK", "opL")

@pytest.mark.asyncio
async def test_teams_update_operations_error_code_only():
"""Test error dict with only code key."""
patch_response = {"error": {"code": "Timeout"}}
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamM", "opN")

@pytest.mark.asyncio
async def test_teams_update_operations_error_message_only():
"""Test error dict with only message key."""
patch_response = {"error": {"message": "Failure"}}
client = DummyMSGraphClient(patch_response)
datasource = TeamsDataSource(client)
result = await datasource.teams_update_operations("teamO", "opP")

-------- CONCURRENT EXECUTION TEST CASES --------

@pytest.mark.asyncio
async def test_teams_update_operations_concurrent_success():
"""Test concurrent execution of multiple successful updates."""
patch_response1 = DummyPatchResponse(data={"result": "ok1"})
patch_response2 = DummyPatchResponse(data={"result": "ok2"})
client1 = DummyMSGraphClient(patch_response1)
client2 = DummyMSGraphClient(patch_response2)
datasource1 = TeamsDataSource(client1)
datasource2 = TeamsDataSource(client2)
# Run both updates concurrently
results = await asyncio.gather(
datasource1.teams_update_operations("team1", "op1", body={"a": 1}),
datasource2.teams_update_operations("team2", "op2", body={"b": 2}),
)

@pytest.mark.asyncio
async def test_teams_update_operations_concurrent_mixed():
"""Test concurrent execution with one success and one error."""
patch_response1 = DummyPatchResponse(data={"result": "ok"})
patch_response2 = RuntimeError("Failed op")
client1 = DummyMSGraphClient(patch_response1)
client2 = DummyMSGraphClient(patch_response2)
datasource1 = TeamsDataSource(client1)
datasource2 = TeamsDataSource(client2)
results = await asyncio.gather(
datasource1.teams_update_operations("team3", "op3"),
datasource2.teams_update_operations("team4", "op4"),
)

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

@pytest.mark.asyncio
async def test_teams_update_operations_large_scale_concurrent():
"""Test 50 concurrent successful updates to assess scalability."""
patch_response = DummyPatchResponse(data={"result": "bulk_ok"})
clients = [DummyMSGraphClient(patch_response) for _ in range(50)]
datasources = [TeamsDataSource(client) for client in clients]
coros = [
datasource.teams_update_operations(f"team{i}", f"op{i}", body={"bulk": i})
for i, datasource in enumerate(datasources)
]
results = await asyncio.gather(*coros)
for result in results:
pass

@pytest.mark.asyncio
async def test_teams_update_operations_large_scale_concurrent_mixed():
"""Test 20 concurrent updates with mixed success and errors."""
patch_success = DummyPatchResponse(data={"result": "ok"})
patch_error = RuntimeError("Bulk error")
clients = []
for i in range(20):
if i % 2 == 0:
clients.append(DummyMSGraphClient(patch_success))
else:
clients.append(DummyMSGraphClient(patch_error))
datasources = [TeamsDataSource(client) for client in clients]
coros = [
datasource.teams_update_operations(f"team{i}", f"op{i}", body={"bulk": i})
for i, datasource in enumerate(datasources)
]
results = await asyncio.gather(*coros)
for i, result in enumerate(results):
if i % 2 == 0:
pass
else:
pass

-------- THROUGHPUT TEST CASES --------

@pytest.mark.asyncio
async def test_teams_update_operations_throughput_small_load():
"""Test throughput under small load (5 concurrent calls)."""
patch_response = DummyPatchResponse(data={"result": "small_load"})
clients = [DummyMSGraphClient(patch_response) for _ in range(5)]
datasources = [TeamsDataSource(client) for client in clients]
coros = [
datasource.teams_update_operations(f"team{i}", f"op{i}", body={"load": "small"})
for i, datasource in enumerate(datasources)
]
results = await asyncio.gather(*coros)
for result in results:
pass

@pytest.mark.asyncio
async def test_teams_update_operations_throughput_medium_load():
"""Test throughput under medium load (20 concurrent calls)."""
patch_response = DummyPatchResponse(data={"result": "medium_load"})
clients = [DummyMSGraphClient(patch_response) for _ in range(20)]
datasources = [TeamsDataSource(client) for client in clients]
coros = [
datasource.teams_update_operations(f"team{i}", f"op{i}", body={"load": "medium"})
for i, datasource in enumerate(datasources)
]
results = await asyncio.gather(*coros)
for result in results:
pass

@pytest.mark.asyncio
async def test_teams_update_operations_throughput_high_volume():
"""Test throughput under high volume (100 concurrent calls)."""
patch_response = DummyPatchResponse(data={"result": "high_volume"})
clients = [DummyMSGraphClient(patch_response) for _ in range(100)]
datasources = [TeamsDataSource(client) for client in clients]
coros = [
datasource.teams_update_operations(f"team{i}", f"op{i}", body={"load": "high"})
for i, datasource in enumerate(datasources)
]
results = await asyncio.gather(*coros)
for result in results:
pass

@pytest.mark.asyncio
async def test_teams_update_operations_throughput_mixed_load():
"""Test throughput under mixed load (success and error)."""
patch_success = DummyPatchResponse(data={"result": "mixed_ok"})
patch_error = RuntimeError("Mixed error")
clients = []
for i in range(30):
if i % 3 == 0:
clients.append(DummyMSGraphClient(patch_error))
else:
clients.append(DummyMSGraphClient(patch_success))
datasources = [TeamsDataSource(client) for client in clients]
coros = [
datasource.teams_update_operations(f"team{i}", f"op{i}", body={"load": "mixed"})
for i, datasource in enumerate(datasources)
]
results = await asyncio.gather(*coros)
for i, result in enumerate(results):
if i % 3 == 0:
pass
else:
pass

codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

#------------------------------------------------
import asyncio # used to run async functions
import logging
from typing import Any, Dict, Optional

import pytest # used for our unit tests
from app.sources.external.microsoft.teams.teams import TeamsDataSource

Mock MSGraphClient and its nested methods

class MockPatch:
def init(self, response):
self._response = response

async def patch(self, body=None):
    # Simulate async PATCH call
    return self._response

class MockOperations:
def init(self, response):
self._response = response

@property
def operations(self):
    return self

def by_operation_id(self, operation_id):
    return MockPatch(self._response)

class MockTeams:
def init(self, response):
self._response = response

def by_team_id(self, team_id):
    return MockOperations(self._response)

class MockClient:
def init(self, response, raise_exc=False):
self.response = response
self.raise_exc = raise_exc

    # Provide .teams
    self.teams = MockTeams(response)
    # Provide .me for __init__ check
    self.me = True

def get_ms_graph_service_client(self):
    return self

class MockMSGraphClient:
def init(self, response, raise_exc=False):
self.client = MockClient(response, raise_exc)

def get_client(self):
    return self.client

--- Unit Tests ---

1. Basic Test Cases

@pytest.mark.asyncio
async def test_teams_update_operations_basic_success():
"""Test basic successful operation with normal input."""
# Simulate a successful response object
class Response: pass
response = Response()
ds = TeamsDataSource(MockMSGraphClient(response))
result = await ds.teams_update_operations("team123", "op456", {"foo": "bar"})

@pytest.mark.asyncio
async def test_teams_update_operations_basic_error_attr():
"""Test response with .error attribute triggers error handling."""
class Response:
error = "Something went wrong"
response = Response()
ds = TeamsDataSource(MockMSGraphClient(response))
result = await ds.teams_update_operations("team123", "op456")

@pytest.mark.asyncio
async def test_teams_update_operations_basic_error_dict():
"""Test response as dict with error key triggers error handling."""
response = {"error": {"code": "BadRequest", "message": "Invalid request"}}
ds = TeamsDataSource(MockMSGraphClient(response))
result = await ds.teams_update_operations("team123", "op456")

@pytest.mark.asyncio
async def test_teams_update_operations_basic_error_dict_str():
"""Test response as dict with error key as string."""
response = {"error": "Simple error"}
ds = TeamsDataSource(MockMSGraphClient(response))
result = await ds.teams_update_operations("team123", "op456")

@pytest.mark.asyncio
async def test_teams_update_operations_basic_error_code_message():
"""Test response object with code and message attributes."""
class Response:
code = "Forbidden"
message = "You do not have access"
response = Response()
ds = TeamsDataSource(MockMSGraphClient(response))
result = await ds.teams_update_operations("team123", "op456")

@pytest.mark.asyncio
async def test_teams_update_operations_basic_none_response():
"""Test handling of None response."""
response = None
ds = TeamsDataSource(MockMSGraphClient(response))
result = await ds.teams_update_operations("team123", "op456")

2. Edge Test Cases

@pytest.mark.asyncio
async def test_teams_update_operations_exception_in_patch():
"""Test exception raised in patch call is handled gracefully."""
class FailingPatch:
async def patch(self, body=None):
raise RuntimeError("Network error")
class FailingOps:
def by_operation_id(self, op_id):
return FailingPatch()
class FailingTeams:
def by_team_id(self, team_id):
return FailingOps()
class FailingClient:
teams = FailingTeams()
me = True
def get_ms_graph_service_client(self): return self
class FailingMSGraphClient:
def get_client(self): return FailingClient()
ds = TeamsDataSource(FailingMSGraphClient())
result = await ds.teams_update_operations("team123", "op456")

@pytest.mark.asyncio

async def test_teams_update_operations_concurrent_execution():
"""Test concurrent execution of multiple async calls."""
class Response: pass
response = Response()
ds = TeamsDataSource(MockMSGraphClient(response))
# Run 10 concurrent updates
results = await asyncio.gather(
*[ds.teams_update_operations(f"team{i}", f"op{i}") for i in range(10)]
)
for result in results:
pass

@pytest.mark.asyncio
async def test_teams_update_operations_invalid_client_init():
"""Test init raises ValueError if client lacks .me attribute."""
class BadClient:
def get_client(self): return self
def get_ms_graph_service_client(self): return self
with pytest.raises(ValueError):
TeamsDataSource(BadClient())

3. Large Scale Test Cases

@pytest.mark.asyncio
async def test_teams_update_operations_large_scale_concurrent():
"""Test large scale concurrent execution (up to 100 calls)."""
class Response: pass
response = Response()
ds = TeamsDataSource(MockMSGraphClient(response))
# 100 concurrent calls
results = await asyncio.gather(
*[ds.teams_update_operations(f"team{i}", f"op{i}", {"x": i}) for i in range(100)]
)
for i, result in enumerate(results):
pass

@pytest.mark.asyncio
async def test_teams_update_operations_large_scale_error_mix():
"""Test large scale with mix of error and success responses."""
class SuccessResponse: pass
class ErrorResponse:
error = "fail"
def get_client(i):
resp = SuccessResponse() if i % 2 == 0 else ErrorResponse()
return MockMSGraphClient(resp)
ds_list = [TeamsDataSource(get_client(i)) for i in range(50)]
coros = [ds.teams_update_operations(f"team{i}", f"op{i}") for i, ds in enumerate(ds_list)]
results = await asyncio.gather(*coros)
for i, result in enumerate(results):
if i % 2 == 0:
pass
else:
pass

4. Throughput Test Cases

@pytest.mark.asyncio
async def test_teams_update_operations_throughput_small_load():
"""Throughput test: small load of 5 concurrent requests."""
class Response: pass
response = Response()
ds = TeamsDataSource(MockMSGraphClient(response))
results = await asyncio.gather(
*[ds.teams_update_operations(f"team{i}", f"op{i}") for i in range(5)]
)
for result in results:
pass

@pytest.mark.asyncio
async def test_teams_update_operations_throughput_medium_load():
"""Throughput test: medium load of 50 concurrent requests."""
class Response: pass
response = Response()
ds = TeamsDataSource(MockMSGraphClient(response))
results = await asyncio.gather(
*[ds.teams_update_operations(f"team{i}", f"op{i}") for i in range(50)]
)
for result in results:
pass

@pytest.mark.asyncio
async def test_teams_update_operations_throughput_large_load():
"""Throughput test: large load of 200 concurrent requests."""
class Response: pass
response = Response()
ds = TeamsDataSource(MockMSGraphClient(response))
results = await asyncio.gather(
*[ds.teams_update_operations(f"team{i}", f"op{i}") for i in range(200)]
)
for result in results:
pass

@pytest.mark.asyncio
async def test_teams_update_operations_throughput_mixed_load():
"""Throughput test: mixed load with errors and successes."""
class SuccessResponse: pass
class ErrorResponse:
error = "fail"
ds_list = []
for i in range(30):
resp = SuccessResponse() if i % 3 != 0 else ErrorResponse()
ds_list.append(TeamsDataSource(MockMSGraphClient(resp)))
coros = [ds.teams_update_operations(f"team{i}", f"op{i}") for i, ds in enumerate(ds_list)]
results = await asyncio.gather(*coros)
for i, result in enumerate(results):
if i % 3 != 0:
pass
else:
pass

codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-TeamsDataSource.teams_update_operations-mhu00bdg and push.