⚡️ Speed up method AsyncFiles.delete by 8%

[codeflash-ai]

📄 8% (0.08x) speedup for AsyncFiles.delete in src/openai/resources/vector_stores/files.py

⏱️ Runtime : 219 microseconds → 203 microseconds (best of 155 runs)

📝 Explanation and details

The optimization achieves a 7% runtime improvement by streamlining parameter handling in the make_request_options function.

Key optimizations:

1. Eliminated unnecessary dictionary operations: The original code always performed {**options.get("params", {}), **extra_query} which requires a dictionary lookup, potential empty dict creation, and merging operations even when query is None. The optimized version uses conditional logic to avoid these operations:

   • If both query and extra_query exist: merge with {**query, **extra_query}
   • If only one exists: assign directly without merging
   • This eliminates the options.get("params", {}) call and unnecessary dict operations

2. Replaced function call with direct type checking: Changed is_given(post_parser) to not isinstance(post_parser, NotGiven) and not isinstance(post_parser, Omit). The line profiler shows this check consuming 22.7% of execution time in the original version. Direct isinstance checks are faster than function calls, especially in hot paths.

Performance impact: The line profiler shows the optimized version reduces total execution time from 631.49μs to 559.61μs in make_request_options. The parameter handling optimization particularly benefits scenarios where only one of query or extra_query is provided (common in API calls), avoiding unnecessary dictionary operations. The direct type checking provides consistent speedup across all invocations by eliminating function call overhead.

These optimizations are most effective for high-frequency API request scenarios where make_request_options is called repeatedly, as demonstrated in the test cases with concurrent executions and varied options.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 247 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

from __future__ import annotations

import asyncio  # used to run async functions
from types import SimpleNamespace
from typing import Any

import httpx
import pytest  # used for our unit tests
from openai._base_client import make_request_options
from openai._resource import AsyncAPIResource
from openai._types import Body, Headers, NotGiven, Query, not_given
from openai.resources.vector_stores.files import AsyncFiles
from openai.types.vector_stores.vector_store_file_deleted import \
    VectorStoreFileDeleted

# -------------------------------
# Test Setup: Mocking dependencies
# -------------------------------

# Since AsyncFiles depends on ._delete and VectorStoreFileDeleted,
# we need to mock those for unit testing.

class MockVectorStoreFileDeleted(SimpleNamespace):
    pass

class MockAsyncFiles(AsyncFiles):
    def __init__(self):
        pass  # no parent init

    async def _delete(self, path, options, cast_to):
        # Simulate a successful deletion by returning a mock object
        # containing the path and options for inspection
        return MockVectorStoreFileDeleted(path=path, options=options, cast_to=cast_to)

# -------------------------------
# Unit Tests
# -------------------------------

# 1. Basic Test Cases

@pytest.mark.asyncio

async def test_delete_basic_with_extra_headers_and_query():
    """Basic: Test passing extra_headers and extra_query."""
    af = MockAsyncFiles()
    file_id = "file_abc"
    vector_store_id = "vs_xyz"
    extra_headers = {"X-Test": "value"}
    extra_query = {"foo": "bar"}
    result = await af.delete(
        file_id,
        vector_store_id=vector_store_id,
        extra_headers=extra_headers,
        extra_query=extra_query,
    )

@pytest.mark.asyncio
async def test_delete_basic_with_extra_body_and_timeout():
    """Basic: Test passing extra_body and timeout."""
    af = MockAsyncFiles()
    file_id = "file_body"
    vector_store_id = "vs_body"
    extra_body = {"meta": "data"}
    timeout = 10.0
    result = await af.delete(
        file_id,
        vector_store_id=vector_store_id,
        extra_body=extra_body,
        timeout=timeout,
    )

# 2. Edge Test Cases

@pytest.mark.asyncio
async def test_delete_edge_empty_file_id_raises():
    """Edge: Test that empty file_id raises ValueError."""
    af = MockAsyncFiles()
    with pytest.raises(ValueError) as excinfo:
        await af.delete("", vector_store_id="vs_123")

@pytest.mark.asyncio
async def test_delete_edge_empty_vector_store_id_raises():
    """Edge: Test that empty vector_store_id raises ValueError."""
    af = MockAsyncFiles()
    with pytest.raises(ValueError) as excinfo:
        await af.delete("file_123", vector_store_id="")

@pytest.mark.asyncio
async def test_delete_edge_none_file_id_raises():
    """Edge: Test that None file_id raises ValueError."""
    af = MockAsyncFiles()
    with pytest.raises(ValueError) as excinfo:
        await af.delete(None, vector_store_id="vs_123")  # type: ignore

@pytest.mark.asyncio
async def test_delete_edge_none_vector_store_id_raises():
    """Edge: Test that None vector_store_id raises ValueError."""
    af = MockAsyncFiles()
    with pytest.raises(ValueError) as excinfo:
        await af.delete("file_123", vector_store_id=None)  # type: ignore

@pytest.mark.asyncio
async def test_delete_edge_concurrent_execution():
    """Edge: Test concurrent execution of delete with different inputs."""
    af = MockAsyncFiles()
    file_ids = [f"file_{i}" for i in range(5)]
    vector_store_id = "vs_concurrent"
    coros = [
        af.delete(file_id, vector_store_id=vector_store_id)
        for file_id in file_ids
    ]
    results = await asyncio.gather(*coros)
    # Each result should be correct and unique per input
    for i, result in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_delete_edge_concurrent_with_shared_file_id():
    """Edge: Test concurrent execution with same file_id but different vector_store_id."""
    af = MockAsyncFiles()
    file_id = "file_shared"
    vector_store_ids = [f"vs_{i}" for i in range(5)]
    coros = [
        af.delete(file_id, vector_store_id=vsid)
        for vsid in vector_store_ids
    ]
    results = await asyncio.gather(*coros)
    for i, result in enumerate(results):
        pass

# 3. Large Scale Test Cases

@pytest.mark.asyncio
async def test_delete_large_scale_many_concurrent():
    """Large Scale: Test delete with many concurrent requests."""
    af = MockAsyncFiles()
    num_requests = 50  # bounded to avoid excessive resource use
    file_ids = [f"file_{i}" for i in range(num_requests)]
    vector_store_ids = [f"vs_{i}" for i in range(num_requests)]
    coros = [
        af.delete(file_id, vector_store_id=vector_store_id)
        for file_id, vector_store_id in zip(file_ids, vector_store_ids)
    ]
    results = await asyncio.gather(*coros)
    for i, result in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_delete_large_scale_with_varied_options():
    """Large Scale: Test delete with varied options per request."""
    af = MockAsyncFiles()
    num_requests = 20
    coros = []
    for i in range(num_requests):
        extra_headers = {"X-Req": str(i)}
        extra_query = {"q": i}
        extra_body = {"val": i}
        timeout = 5.0 + i
        coros.append(
            af.delete(
                f"file_{i}",
                vector_store_id=f"vs_{i}",
                extra_headers=extra_headers,
                extra_query=extra_query,
                extra_body=extra_body,
                timeout=timeout,
            )
        )
    results = await asyncio.gather(*coros)
    for i, result in enumerate(results):
        pass

# 4. Throughput Test Cases

@pytest.mark.asyncio



async def test_delete_throughput_varied_options():
    """Throughput: Test delete under load with varied options."""
    af = MockAsyncFiles()
    coros = []
    for i in range(30):
        extra_headers = {"X-Batch": str(i)}
        extra_query = {"batch": i}
        coros.append(
            af.delete(
                f"file_{i}",
                vector_store_id="vs_throughput_varied",
                extra_headers=extra_headers,
                extra_query=extra_query,
            )
        )
    results = await asyncio.gather(*coros)
    for i, 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.
#------------------------------------------------
import asyncio  # used to run async functions

import pytest  # used for our unit tests
from openai.resources.vector_stores.files import AsyncFiles

# --- Begin: Minimal stubs and helpers for testing ---

# Minimal NotGiven and not_given for type compatibility
class NotGivenType:
    pass

not_given = NotGivenType()

# Minimal VectorStoreFileDeleted stub
class VectorStoreFileDeleted(dict):
    pass

# Minimal AsyncAPIResource stub with _delete method
class AsyncAPIResource:
    async def _delete(self, path, options=None, cast_to=None):
        # Simulate different responses based on input for testing
        # (For real tests, this would be mocked or replaced with a real API call)
        # For our purposes, just return a VectorStoreFileDeleted with the path and options
        result = {"deleted": True, "path": path, "options": options}
        if cast_to is not None:
            return cast_to(result)
        return result
from openai.resources.vector_stores.files import AsyncFiles

# --- End: Minimal stubs and helpers for testing ---

# ----------------------- UNIT TESTS BEGIN HERE -----------------------

@pytest.mark.asyncio

To edit these changes git checkout codeflash/optimize-AsyncFiles.delete-mhdi42nm and push.