⚡️ Speed up method GoogleGmailDataSource.users_settings_get_pop by 8%

[codeflash-ai]

📄 8% (0.08x) speedup for GoogleGmailDataSource.users_settings_get_pop in backend/python/app/sources/external/google/gmail/gmail.py

⏱️ Runtime : 1.05 milliseconds → 974 microseconds (best of 21 runs)

📝 Explanation and details

The optimized code achieves a 7% runtime improvement by eliminating unnecessary dictionary operations in the most common execution path.

Key optimization: Instead of always creating/copying kwargs regardless of whether it's needed, the code now uses conditional branching to handle four distinct scenarios:

1. Fast path (most common): When kwargs is empty and userId exists, it calls getPop(userId=userId) directly, avoiding any dictionary operations
2. Empty kwargs, no userId: Direct call with no parameters
3. With kwargs and userId: Creates a copy to avoid mutating caller's dictionary
4. With kwargs, no userId: Passes kwargs directly

Performance impact: The line profiler shows the optimization reduces time spent in the API call setup from 81.7% to 82.5% of total time, but with an overall 7% runtime reduction. The fast path (221 out of 225 hits) benefits most from eliminating the kwargs = kwargs or {} assignment and dictionary mutation operations.

Why this works: Dictionary operations in Python have overhead - even simple assignments like kwargs['userId'] = userId require hash table lookups and memory allocation. By avoiding these operations when kwargs is empty (the common case), the code runs faster.

Trade-off consideration: While runtime improves by 7%, throughput shows a 4.5% decrease, suggesting the optimization may have slightly more overhead in high-concurrency scenarios due to the additional conditional branching, though individual call latency is reduced.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 450 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 pytest  # used for our unit tests
from app.sources.external.google.gmail.gmail import GoogleGmailDataSource


# --- Function to test (EXACT COPY, DO NOT MODIFY) ---
class GoogleClient:
    """Stub for GoogleClient for testing purposes."""

    def __init__(self, pop_response=None, raise_exception=None):
        self._pop_response = pop_response or {}
        self._raise_exception = raise_exception

    def users(self):
        return self

    def settings(self):
        return self

    def getPop(self, **kwargs):
        # Simulate raising exception if specified
        if self._raise_exception:
            raise self._raise_exception

        # Return a stub request object with execute method
        class Request:
            def execute(inner_self):
                return self._pop_response

        return Request()


# --- Unit Tests ---

# Basic Test Cases


@pytest.mark.asyncio
async def test_users_settings_get_pop_returns_expected_dict():
    """Test that the function returns the expected dict for a normal userId."""
    expected_response = {"popEnabled": True, "disposition": "leaveInInbox"}
    client = GoogleClient(pop_response=expected_response)
    datasource = GoogleGmailDataSource(client)
    result = await datasource.users_settings_get_pop("user@example.com")


@pytest.mark.asyncio
async def test_users_settings_get_pop_me_userid():
    """Test that the function works with 'me' as userId (special value)."""
    expected_response = {"popEnabled": False, "disposition": "archive"}
    client = GoogleClient(pop_response=expected_response)
    datasource = GoogleGmailDataSource(client)
    result = await datasource.users_settings_get_pop("me")


@pytest.mark.asyncio
async def test_users_settings_get_pop_with_kwargs():
    """Test that the function passes additional kwargs correctly."""
    expected_response = {"popEnabled": True, "disposition": "delete"}
    client = GoogleClient(pop_response=expected_response)
    datasource = GoogleGmailDataSource(client)
    result = await datasource.users_settings_get_pop(
        "user@example.com", foo="bar", baz=123
    )


# Edge Test Cases


@pytest.mark.asyncio
async def test_users_settings_get_pop_exception_propagation():
    """Test that exceptions raised by the client are propagated."""

    class DummyException(Exception):
        pass

    client = GoogleClient(raise_exception=DummyException("API error"))
    datasource = GoogleGmailDataSource(client)
    with pytest.raises(DummyException):
        await datasource.users_settings_get_pop("user@example.com")


@pytest.mark.asyncio
async def test_users_settings_get_pop_concurrent_requests():
    """Test concurrent execution with different userIds."""
    expected_response1 = {"popEnabled": True, "disposition": "leaveInInbox"}
    expected_response2 = {"popEnabled": False, "disposition": "archive"}
    client1 = GoogleClient(pop_response=expected_response1)
    client2 = GoogleClient(pop_response=expected_response2)
    datasource1 = GoogleGmailDataSource(client1)
    datasource2 = GoogleGmailDataSource(client2)
    # Run both calls concurrently
    results = await asyncio.gather(
        datasource1.users_settings_get_pop("user1@example.com"),
        datasource2.users_settings_get_pop("user2@example.com"),
    )


@pytest.mark.asyncio
async def test_users_settings_get_pop_with_special_characters():
    """Test userId with special/unicode characters."""
    expected_response = {"popEnabled": True, "disposition": "leaveInInbox"}
    client = GoogleClient(pop_response=expected_response)
    datasource = GoogleGmailDataSource(client)
    result = await datasource.users_settings_get_pop("üser@exämple.com")


@pytest.mark.asyncio
async def test_users_settings_get_pop_with_large_kwargs():
    """Test passing a large number of kwargs (but <1000)."""
    expected_response = {"popEnabled": True}
    client = GoogleClient(pop_response=expected_response)
    datasource = GoogleGmailDataSource(client)
    # Generate 100 kwargs
    many_kwargs = {f"key{i}": i for i in range(100)}
    result = await datasource.users_settings_get_pop("user@example.com", **many_kwargs)


# Large Scale Test Cases


@pytest.mark.asyncio
async def test_users_settings_get_pop_many_concurrent_calls():
    """Test many concurrent calls to the function."""
    expected_response = {"popEnabled": True, "disposition": "leaveInInbox"}
    # Create 50 clients/datasources for concurrent calls
    datasources = [
        GoogleGmailDataSource(GoogleClient(pop_response=expected_response))
        for _ in range(50)
    ]
    # Run 50 concurrent calls
    tasks = [
        datasource.users_settings_get_pop(f"user{idx}@example.com")
        for idx, datasource in enumerate(datasources)
    ]
    results = await asyncio.gather(*tasks)
    for result in results:
        pass


@pytest.mark.asyncio
async def test_users_settings_get_pop_concurrent_edge_cases():
    """Test concurrent calls with edge case userIds."""
    expected_response = {"popEnabled": True}
    edge_user_ids = ["", None, "me", "üser@exämple.com", "user@example.com"]
    datasources = [
        GoogleGmailDataSource(GoogleClient(pop_response=expected_response))
        for _ in edge_user_ids
    ]
    tasks = [
        datasource.users_settings_get_pop(userId)
        for datasource, userId in zip(datasources, edge_user_ids)
    ]
    results = await asyncio.gather(*tasks)
    for result in results:
        pass


# Throughput Test Cases


@pytest.mark.asyncio
async def test_users_settings_get_pop_throughput_mixed_responses():
    """Throughput: Test with mixed expected responses."""
    responses = [
        {"popEnabled": True, "disposition": "leaveInInbox"},
        {"popEnabled": False, "disposition": "archive"},
        {"popEnabled": True, "disposition": "delete"},
    ]
    datasources = [
        GoogleGmailDataSource(GoogleClient(pop_response=responses[i % len(responses)]))
        for i in range(30)
    ]
    tasks = [
        datasource.users_settings_get_pop(f"user{idx}@example.com")
        for idx, datasource in enumerate(datasources)
    ]
    results = await asyncio.gather(*tasks)
    for idx, result in enumerate(results):
        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-GoogleGmailDataSource.users_settings_get_pop-mir0vlwv and push.