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@codeflash-ai codeflash-ai bot commented Oct 25, 2025

📄 105% (1.05x) speedup for UsersGroupsDataSource.users_user_get_managed_app_diagnostic_statuses in backend/python/app/sources/external/microsoft/users_groups/users_groups.py

⏱️ Runtime : 693 microseconds 339 microseconds (best of 7 runs)

📝 Explanation and details

The optimized code achieves a 104% speedup (runtime reduced from 693 to 339 microseconds) by eliminating redundant conditional checks and property assignments through more efficient object initialization patterns.

Key Optimizations Applied:

  1. Consolidated Object Construction: Instead of creating empty UsersRequestBuilderGetQueryParameters() and then conditionally setting properties via multiple if statements, the optimized version constructs the object directly with all parameters in a single call, reducing method invocation overhead.

  2. Eliminated Redundant Conditionals: The original code performed 7 separate conditional checks (if select:, if expand:, etc.) followed by property assignments. The optimization moves the conditional logic into the constructor call using ternary expressions, reducing the total number of operations from ~15 to ~7.

  3. Streamlined Header Handling: Uses dictionary unpacking {**(headers or {})} during config construction instead of conditional assignment afterward, eliminating a separate if headers: check and property assignment.

Performance Impact by Test Case:

  • Basic operations (single user queries): Benefit most from reduced overhead in query parameter construction
  • Concurrent execution (5-50 simultaneous calls): Each call experiences the same per-operation speedup, resulting in better overall throughput under load
  • Parameter-heavy calls (with select, expand, filters): See the greatest benefit since these trigger the most conditional checks in the original code

The line profiler shows the optimization primarily reduces time spent in query parameter setup (lines that previously took 10.4% of execution time), allowing more time for the actual API call execution.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 239 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 96.4%
🌀 Generated Regression Tests and Runtime
import asyncio  # used to run async functions
# Function under test (copied EXACTLY as provided)
import logging
# Patch the imported classes for the function under test
import types

import pytest  # used for our unit tests
from app.sources.external.microsoft.users_groups.users_groups import \
    UsersGroupsDataSource


class MockUsers:
    def __init__(self, user_id):
        self.user_id = user_id
    def get_managed_app_diagnostic_statuses(self):
        # Return self for chaining
        return self
    async def get(self, request_configuration=None):
        # Simulate a response object
        # Use request_configuration for test coverage
        # Return a dict with user_id and query params for validation
        resp = {
            "user_id": self.user_id,
            "select": getattr(request_configuration.query_parameters, "select", None) if request_configuration else None,
            "expand": getattr(request_configuration.query_parameters, "expand", None) if request_configuration else None,
            "filter": getattr(request_configuration.query_parameters, "filter", None) if request_configuration else None,
            "orderby": getattr(request_configuration.query_parameters, "orderby", None) if request_configuration else None,
            "search": getattr(request_configuration.query_parameters, "search", None) if request_configuration else None,
            "top": getattr(request_configuration.query_parameters, "top", None) if request_configuration else None,
            "skip": getattr(request_configuration.query_parameters, "skip", None) if request_configuration else None,
            "headers": getattr(request_configuration, "headers", None) if request_configuration else None,
        }
        # Simulate error if user_id is "error"
        if self.user_id == "error":
            return {"error": {"code": "BadRequest", "message": "Invalid user ID"}}
        return resp

class MockClient:
    def __init__(self):
        self.users = self
    def by_user_id(self, user_id):
        return MockUsers(user_id)

class MockMSGraphClient:
    def get_client(self):
        return self
    def get_ms_graph_service_client(self):
        return MockClient()

# Patch MSGraphClient to use our mock
MSGraphClient = MockMSGraphClient

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

@pytest.mark.asyncio
async def test_basic_success_case():
    """Test basic successful call with only required user_id"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    result = await datasource.users_user_get_managed_app_diagnostic_statuses("testuser")

@pytest.mark.asyncio

async def test_basic_select_and_expand_as_string():
    """Test select and expand given as a single string, not a list"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    result = await datasource.users_user_get_managed_app_diagnostic_statuses(
        user_id="testuser3",
        select="id",
        expand="manager"
    )

@pytest.mark.asyncio
async def test_basic_no_optional_parameters():
    """Test with only required parameter, no optionals"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    result = await datasource.users_user_get_managed_app_diagnostic_statuses(user_id="basicuser")

@pytest.mark.asyncio
async def test_edge_invalid_user_id():
    """Test with a user_id that triggers an error response"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    result = await datasource.users_user_get_managed_app_diagnostic_statuses(user_id="error")

@pytest.mark.asyncio
async def test_edge_none_user_id():
    """Test with None as user_id, should fail gracefully"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    result = await datasource.users_user_get_managed_app_diagnostic_statuses(user_id=None)
    # Should not hang or throw uncaught exception

@pytest.mark.asyncio
async def test_edge_empty_select_expand():
    """Test with empty select and expand lists"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    result = await datasource.users_user_get_managed_app_diagnostic_statuses(
        user_id="emptyselect",
        select=[],
        expand=[]
    )

@pytest.mark.asyncio
async def test_edge_headers_none_and_search():
    """Test with headers=None and search provided, ConsistencyLevel should be set"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    result = await datasource.users_user_get_managed_app_diagnostic_statuses(
        user_id="searchuser",
        search="something",
        headers=None
    )

@pytest.mark.asyncio
async def test_edge_concurrent_execution():
    """Test concurrent execution with different user_ids"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    user_ids = [f"user_{i}" for i in range(5)]
    coros = [datasource.users_user_get_managed_app_diagnostic_statuses(user_id=uid) for uid in user_ids]
    results = await asyncio.gather(*coros)

@pytest.mark.asyncio
async def test_edge_concurrent_with_error():
    """Test concurrent execution with one user_id triggering error"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    user_ids = ["user_ok", "error", "user_ok2"]
    coros = [datasource.users_user_get_managed_app_diagnostic_statuses(user_id=uid) for uid in user_ids]
    results = await asyncio.gather(*coros)

@pytest.mark.asyncio
async def test_large_scale_many_concurrent():
    """Test large scale with 50 concurrent calls"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    user_ids = [f"bulkuser_{i}" for i in range(50)]
    coros = [datasource.users_user_get_managed_app_diagnostic_statuses(user_id=uid) for uid in user_ids]
    results = await asyncio.gather(*coros)

@pytest.mark.asyncio
async def test_large_scale_parameter_variation():
    """Test large scale with parameter variation"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    coros = [
        datasource.users_user_get_managed_app_diagnostic_statuses(
            user_id=f"paramuser_{i}",
            select=["id"],
            expand=["manager"],
            top=i,
            skip=i//2
        )
        for i in range(20)
    ]
    results = await asyncio.gather(*coros)
    for i, r in enumerate(results):
        pass

@pytest.mark.asyncio



async def test_users_user_get_managed_app_diagnostic_statuses_throughput_mixed_load():
    """Throughput test: mixture of success and error cases"""
    datasource = UsersGroupsDataSource(MSGraphClient())
    user_ids = ["tpuser_ok", "error", "tpuser_ok2", "error", "tpuser_ok3"]
    coros = [datasource.users_user_get_managed_app_diagnostic_statuses(user_id=uid) for uid in user_ids]
    results = await asyncio.gather(*coros)
    for r in results:
        if not r.success:
            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
# --- The function to test (EXACT COPY, UNMODIFIED) ---
import logging
# Patch the imported modules/classes in the function's namespace
import sys
from typing import Dict, List, Optional

import pytest  # used for our unit tests
from app.sources.external.microsoft.users_groups.users_groups import \
    UsersGroupsDataSource

# --- Minimal stubs and mocks for dependencies ---

class UsersGroupsResponse:
    """Minimal stub for UsersGroupsResponse."""
    def __init__(self, success: bool, data=None, error: Optional[str] = None):
        self.success = success
        self.data = data
        self.error = error

class DummyGetManagedAppDiagnosticStatuses:
    """Stub for .get_managed_app_diagnostic_statuses() chain."""
    def __init__(self, response):
        self._response = response

    async def get(self, request_configuration=None):
        # Simulate async call returning the response
        if isinstance(self._response, Exception):
            raise self._response
        return self._response

class DummyByUserId:
    """Stub for .by_user_id() chain."""
    def __init__(self, response):
        self._response = response

    def get_managed_app_diagnostic_statuses(self):
        return DummyGetManagedAppDiagnosticStatuses(self._response)

class DummyUsers:
    """Stub for .users property."""
    def __init__(self, response):
        self._response = response

    def by_user_id(self, user_id):
        return DummyByUserId(self._response)

class DummyClient:
    """Stub for the Graph client."""
    def __init__(self, response):
        self.users = DummyUsers(response)

class DummyMSGraphClient:
    """Stub for the MSGraphClient wrapper."""
    def __init__(self, response):
        self._client = DummyClient(response)

    def get_client(self):
        return self._client

    def get_ms_graph_service_client(self):
        return self._client

# --- TESTS BEGIN HERE ---

@pytest.mark.asyncio







async def test_edge_missing_users_attribute():
    """Edge: Should raise ValueError if client does not have 'users' attribute."""
    class BadClient:
        def get_client(self):
            return self
        def get_ms_graph_service_client(self):
            return self
    with pytest.raises(ValueError):
        UsersGroupsDataSource(BadClient())

@pytest.mark.asyncio
async def test_edge_exception_in_chain():
    """Edge: Should return UsersGroupsResponse with success=False if exception is raised in chain."""
    class FailingGet:
        async def get(self, request_configuration=None):
            raise RuntimeError("Backend failure")
    class FailingByUserId:
        def get_managed_app_diagnostic_statuses(self):
            return FailingGet()
    class FailingUsers:
        def by_user_id(self, user_id):
            return FailingByUserId()
    class FailingClient:
        users = FailingUsers()
    class FailingMSGraphClient:
        def get_client(self):
            return self
        def get_ms_graph_service_client(self):
            return FailingClient()
    ds = UsersGroupsDataSource(FailingMSGraphClient())
    resp = await ds.users_user_get_managed_app_diagnostic_statuses("user123")

@pytest.mark.asyncio

async def test_edge_search_adds_consistency_level_header():
    """Edge: Should add ConsistencyLevel header if search is provided."""
    dummy_data = {"diagnostic": "ok"}
    captured_headers = {}
    class HeaderCheckGet:
        async def get(self, request_configuration=None):
            nonlocal captured_headers
            captured_headers = dict(request_configuration.headers)
            return dummy_data
    class HeaderCheckByUserId:
        def get_managed_app_diagnostic_statuses(self):
            return HeaderCheckGet()
    class HeaderCheckUsers:
        def by_user_id(self, user_id):
            return HeaderCheckByUserId()
    class HeaderCheckClient:
        users = HeaderCheckUsers()
    class HeaderCheckMSGraphClient:
        def get_client(self):
            return self
        def get_ms_graph_service_client(self):
            return HeaderCheckClient()
    ds = UsersGroupsDataSource(HeaderCheckMSGraphClient())
    await ds.users_user_get_managed_app_diagnostic_statuses("user123", search="foo", headers={"X-Test": "yes"})

@pytest.mark.asyncio
async def test_edge_search_adds_consistency_level_header_when_headers_none():
    """Edge: Should create headers dict if headers is None and search is provided."""
    dummy_data = {"diagnostic": "ok"}
    captured_headers = {}
    class HeaderCheckGet:
        async def get(self, request_configuration=None):
            nonlocal captured_headers
            captured_headers = dict(request_configuration.headers)
            return dummy_data
    class HeaderCheckByUserId:
        def get_managed_app_diagnostic_statuses(self):
            return HeaderCheckGet()
    class HeaderCheckUsers:
        def by_user_id(self, user_id):
            return HeaderCheckByUserId()
    class HeaderCheckClient:
        users = HeaderCheckUsers()
    class HeaderCheckMSGraphClient:
        def get_client(self):
            return self
        def get_ms_graph_service_client(self):
            return HeaderCheckClient()
    ds = UsersGroupsDataSource(HeaderCheckMSGraphClient())
    await ds.users_user_get_managed_app_diagnostic_statuses("user123", search="foo")

# --- LARGE SCALE ---

@pytest.mark.asyncio

To edit these changes git checkout codeflash/optimize-UsersGroupsDataSource.users_user_get_managed_app_diagnostic_statuses-mh5vmtj3 and push.

Codeflash

…statuses

The optimized code achieves a **104% speedup** (runtime reduced from 693 to 339 microseconds) by eliminating redundant conditional checks and property assignments through more efficient object initialization patterns.

**Key Optimizations Applied:**

1. **Consolidated Object Construction**: Instead of creating empty `UsersRequestBuilderGetQueryParameters()` and then conditionally setting properties via multiple `if` statements, the optimized version constructs the object directly with all parameters in a single call, reducing method invocation overhead.

2. **Eliminated Redundant Conditionals**: The original code performed 7 separate conditional checks (`if select:`, `if expand:`, etc.) followed by property assignments. The optimization moves the conditional logic into the constructor call using ternary expressions, reducing the total number of operations from ~15 to ~7.

3. **Streamlined Header Handling**: Uses dictionary unpacking `{**(headers or {})}` during config construction instead of conditional assignment afterward, eliminating a separate `if headers:` check and property assignment.

**Performance Impact by Test Case:**
- **Basic operations** (single user queries): Benefit most from reduced overhead in query parameter construction
- **Concurrent execution** (5-50 simultaneous calls): Each call experiences the same per-operation speedup, resulting in better overall throughput under load
- **Parameter-heavy calls** (with select, expand, filters): See the greatest benefit since these trigger the most conditional checks in the original code

The line profiler shows the optimization primarily reduces time spent in query parameter setup (lines that previously took 10.4% of execution time), allowing more time for the actual API call execution.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 25, 2025 06:06
@codeflash-ai codeflash-ai bot added the ⚡️ codeflash Optimization PR opened by Codeflash AI label Oct 25, 2025
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