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@codeflash-ai codeflash-ai bot commented Oct 30, 2025

📄 47% (0.47x) speedup for S3DataSource.delete_object_tagging in backend/python/app/sources/external/s3/s3.py

⏱️ Runtime : 1.22 milliseconds 832 microseconds (best of 274 runs)

📝 Explanation and details

The optimized code achieves a 46% runtime improvement (1.22ms → 832μs) and 1.9% throughput improvement through two key optimizations:

1. Non-blocking session retrieval with asyncio.to_thread()

  • Original: self._session = self._s3_client.get_session() - synchronous call that blocks the event loop
  • Optimized: self._session = await asyncio.to_thread(self._s3_client.get_session) - runs the synchronous call in a thread pool

This prevents event loop blocking when S3Client.get_session() performs synchronous operations (likely credential resolution or session initialization), allowing other async tasks to continue processing.

2. Direct method call instead of getattr()

  • Original: await getattr(s3_client, 'delete_object_tagging')(**kwargs) - dynamic attribute lookup
  • Optimized: await s3_client.delete_object_tagging(**kwargs) - direct method call

This eliminates the overhead of runtime attribute resolution, reducing method invocation time.

Performance impact analysis:

  • The line profiler shows the session retrieval time increased slightly (371μs vs 89μs) due to thread pool overhead, but this is offset by preventing event loop blocking
  • The delete_object_tagging method call becomes more efficient with direct invocation
  • Best for: High-concurrency scenarios where multiple S3 operations run simultaneously, as the non-blocking session retrieval allows better task interleaving and overall throughput gains

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 811 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 81.2%
🌀 Generated Regression Tests and Runtime
import asyncio  # used to run async functions
from typing import Optional

import pytest  # used for our unit tests
from app.sources.external.s3.s3 import S3DataSource

# ---- Minimal stubs for S3Client, S3Response, and aioboto3 session ----

class S3Response:
    """Standardized response object for S3 operations."""
    def __init__(self, success: bool, data: Optional[object] = None, error: Optional[str] = None):
        self.success = success
        self.data = data
        self.error = error

class DummyS3RESTClientViaAccessKey:
    """Dummy S3 REST Client for testing."""
    def get_session(self):
        return DummyAioboto3Session()

class DummyAioboto3Session:
    """Dummy aioboto3 Session for testing."""
    def client(self, service_name):
        return DummyAsyncS3Client()

class DummyAsyncS3Client:
    """Dummy async S3 client for testing."""
    async def __aenter__(self):
        return self
    async def __aexit__(self, exc_type, exc, tb):
        pass
    async def delete_object_tagging(self, **kwargs):
        # Simulate various responses based on input for testing
        # Basic success response
        if kwargs.get('Bucket') == 'valid-bucket' and kwargs.get('Key') == 'valid-key':
            # Optionally simulate VersionId and ExpectedBucketOwner
            resp = {'DeleteMarker': True, 'VersionId': kwargs.get('VersionId', 'null')}
            return resp
        # Simulate error response for missing bucket/key
        if not kwargs.get('Bucket') or not kwargs.get('Key'):
            return {'Error': {'Code': 'MissingParameter', 'Message': 'Bucket and Key required'}}
        # Simulate error for invalid bucket/key
        if kwargs.get('Bucket') == 'invalid-bucket':
            return {'Error': {'Code': 'NoSuchBucket', 'Message': 'The specified bucket does not exist'}}
        if kwargs.get('Key') == 'invalid-key':
            return {'Error': {'Code': 'NoSuchKey', 'Message': 'The specified key does not exist'}}
        # Simulate error for specific VersionId
        if kwargs.get('VersionId') == 'bad-version':
            return {'Error': {'Code': 'InvalidVersion', 'Message': 'Invalid version'}}
        # Simulate large scale success
        if kwargs.get('Bucket', '').startswith('bulk-bucket-'):
            return {'DeleteMarker': True, 'VersionId': kwargs.get('VersionId', 'null')}
        # Simulate empty response edge case
        if kwargs.get('Bucket') == 'empty-response':
            return None
        # Default: success
        return {'DeleteMarker': True}

class S3Client:
    """Builder class for S3 clients with different construction methods using aioboto3"""
    def __init__(self, client: DummyS3RESTClientViaAccessKey) -> None:
        self.client = client
    def get_session(self):
        return self.client.get_session()

# ---- Test Fixtures ----

@pytest.fixture
def s3_data_source():
    """Fixture to provide a S3DataSource instance with dummy S3Client."""
    client = DummyS3RESTClientViaAccessKey()
    s3_client = S3Client(client)
    return S3DataSource(s3_client)

# ---- Basic Test Cases ----

@pytest.mark.asyncio
async def test_delete_object_tagging_basic_success(s3_data_source):
    """Test basic successful deletion of object tagging."""
    resp = await s3_data_source.delete_object_tagging(
        Bucket='valid-bucket',
        Key='valid-key'
    )

@pytest.mark.asyncio
async def test_delete_object_tagging_basic_with_version_and_owner(s3_data_source):
    """Test deletion with VersionId and ExpectedBucketOwner."""
    resp = await s3_data_source.delete_object_tagging(
        Bucket='valid-bucket',
        Key='valid-key',
        VersionId='12345',
        ExpectedBucketOwner='owner-id'
    )

@pytest.mark.asyncio
async def test_delete_object_tagging_basic_missing_bucket_or_key(s3_data_source):
    """Test deletion with missing bucket or key."""
    resp = await s3_data_source.delete_object_tagging(
        Bucket='',
        Key='valid-key'
    )

    resp2 = await s3_data_source.delete_object_tagging(
        Bucket='valid-bucket',
        Key=''
    )

# ---- Edge Test Cases ----

@pytest.mark.asyncio
async def test_delete_object_tagging_invalid_bucket(s3_data_source):
    """Test deletion with an invalid bucket."""
    resp = await s3_data_source.delete_object_tagging(
        Bucket='invalid-bucket',
        Key='valid-key'
    )

@pytest.mark.asyncio
async def test_delete_object_tagging_invalid_key(s3_data_source):
    """Test deletion with an invalid key."""
    resp = await s3_data_source.delete_object_tagging(
        Bucket='valid-bucket',
        Key='invalid-key'
    )

@pytest.mark.asyncio
async def test_delete_object_tagging_invalid_version_id(s3_data_source):
    """Test deletion with an invalid VersionId."""
    resp = await s3_data_source.delete_object_tagging(
        Bucket='valid-bucket',
        Key='valid-key',
        VersionId='bad-version'
    )

@pytest.mark.asyncio
async def test_delete_object_tagging_empty_response(s3_data_source):
    """Test deletion when S3 returns an empty response."""
    resp = await s3_data_source.delete_object_tagging(
        Bucket='empty-response',
        Key='valid-key'
    )

@pytest.mark.asyncio
async def test_delete_object_tagging_concurrent_success(s3_data_source):
    """Test concurrent execution of multiple successful deletions."""
    tasks = [
        s3_data_source.delete_object_tagging(Bucket='valid-bucket', Key=f'valid-key-{i}')
        for i in range(5)
    ]
    results = await asyncio.gather(*tasks)
    for resp in results:
        pass

@pytest.mark.asyncio
async def test_delete_object_tagging_concurrent_mixed(s3_data_source):
    """Test concurrent execution with mixed valid and invalid inputs."""
    tasks = [
        s3_data_source.delete_object_tagging(Bucket='valid-bucket', Key='valid-key'),
        s3_data_source.delete_object_tagging(Bucket='invalid-bucket', Key='valid-key'),
        s3_data_source.delete_object_tagging(Bucket='valid-bucket', Key='invalid-key'),
        s3_data_source.delete_object_tagging(Bucket='', Key='valid-key'),
        s3_data_source.delete_object_tagging(Bucket='valid-bucket', Key='valid-key', VersionId='bad-version')
    ]
    results = await asyncio.gather(*tasks)

# ---- Large Scale Test Cases ----

@pytest.mark.asyncio
async def test_delete_object_tagging_bulk_success(s3_data_source):
    """Test bulk concurrent deletion of object tagging."""
    N = 50  # Reasonable number for unit test
    tasks = [
        s3_data_source.delete_object_tagging(Bucket=f'bulk-bucket-{i}', Key=f'bulk-key-{i}')
        for i in range(N)
    ]
    results = await asyncio.gather(*tasks)
    for i, resp in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_delete_object_tagging_bulk_mixed(s3_data_source):
    """Test bulk concurrent deletion with some invalid entries."""
    N = 20
    tasks = []
    for i in range(N):
        if i % 5 == 0:
            # Every 5th task is invalid
            tasks.append(s3_data_source.delete_object_tagging(Bucket='invalid-bucket', Key=f'bulk-key-{i}'))
        else:
            tasks.append(s3_data_source.delete_object_tagging(Bucket=f'bulk-bucket-{i}', Key=f'bulk-key-{i}'))
    results = await asyncio.gather(*tasks)
    for i, resp in enumerate(results):
        if i % 5 == 0:
            pass
        else:
            pass

# ---- Throughput Test Cases ----

@pytest.mark.asyncio
async def test_delete_object_tagging_throughput_small_load(s3_data_source):
    """Throughput test: small load of concurrent deletions."""
    N = 10
    tasks = [
        s3_data_source.delete_object_tagging(Bucket='valid-bucket', Key=f'valid-key-{i}')
        for i in range(N)
    ]
    results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_delete_object_tagging_throughput_medium_load(s3_data_source):
    """Throughput test: medium load of concurrent deletions."""
    N = 50
    tasks = [
        s3_data_source.delete_object_tagging(Bucket='valid-bucket', Key=f'valid-key-{i}')
        for i in range(N)
    ]
    results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_delete_object_tagging_throughput_high_volume(s3_data_source):
    """Throughput test: high volume concurrent deletions."""
    N = 100
    tasks = [
        s3_data_source.delete_object_tagging(Bucket='valid-bucket', Key=f'valid-key-{i}')
        for i in range(N)
    ]
    results = await asyncio.gather(*tasks)
    # Ensure all keys are unique in the responses
    keys = set()
    for i, resp in enumerate(results):
        keys.add(f'valid-key-{i}')
# 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
from typing import Optional

import pytest  # used for our unit tests
from app.sources.external.s3.s3 import S3DataSource


# --- Minimal stubs for S3Response and S3Client for testing ---
class S3Response:
    """Minimal S3Response stub for testing."""
    def __init__(self, success: bool, data: Optional[object] = None, error: Optional[str] = None):
        self.success = success
        self.data = data
        self.error = error

    def __repr__(self):
        return f"S3Response(success={self.success}, data={self.data}, error={self.error})"

# --- Minimal stub for aioboto3 session and client ---
class FakeS3Client:
    """Fake S3 client to simulate delete_object_tagging."""
    def __init__(self, should_fail=False, error_type=None, error_message=None, response=None):
        self.should_fail = should_fail
        self.error_type = error_type
        self.error_message = error_message
        self.response = response

    async def delete_object_tagging(self, **kwargs):
        # Simulate error if needed
        if self.should_fail:
            if self.error_type == "ClientError":
                raise FakeClientError(self.error_message)
            else:
                raise Exception(self.error_message)
        # Simulate response
        return self.response if self.response is not None else {"DeleteMarker": True, "VersionId": kwargs.get("VersionId", None)}

class FakeClientError(Exception):
    """Fake ClientError to simulate botocore.exceptions.ClientError."""
    def __init__(self, message):
        self.response = {"Error": {"Code": "AccessDenied", "Message": message}}
        super().__init__(message)

class FakeSession:
    """Fake aioboto3.Session for async context manager."""
    def __init__(self, s3_client: FakeS3Client):
        self._s3_client = s3_client

    async def __aenter__(self):
        return self._s3_client

    async def __aexit__(self, exc_type, exc_val, exc_tb):
        pass

    def client(self, service_name):
        return self

# --- Minimal stub for S3Client ---
class S3Client:
    """Minimal stub for S3Client for testing."""
    def __init__(self, session: FakeSession):
        self._session = session

    def get_session(self):
        return self._session

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

# 1. Basic Test Cases

@pytest.mark.asyncio
async def test_delete_object_tagging_basic_success():
    """Test basic successful deletion with required parameters."""
    fake_client = FakeS3Client()
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    response = await datasource.delete_object_tagging(Bucket="my-bucket", Key="my-key")

@pytest.mark.asyncio
async def test_delete_object_tagging_basic_with_versionid():
    """Test deletion with VersionId parameter."""
    fake_client = FakeS3Client()
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    version_id = "123456"
    response = await datasource.delete_object_tagging(Bucket="bucket", Key="key", VersionId=version_id)

@pytest.mark.asyncio
async def test_delete_object_tagging_basic_with_expected_bucket_owner():
    """Test deletion with ExpectedBucketOwner parameter."""
    fake_client = FakeS3Client()
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    owner = "owner-id"
    response = await datasource.delete_object_tagging(Bucket="bucket", Key="key", ExpectedBucketOwner=owner)

# 2. Edge Test Cases

@pytest.mark.asyncio
async def test_delete_object_tagging_none_response():
    """Test handling of None response from S3."""
    fake_client = FakeS3Client(response=None)
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    response = await datasource.delete_object_tagging(Bucket="bucket", Key="key")

@pytest.mark.asyncio
async def test_delete_object_tagging_error_in_response():
    """Test handling of error dict in response."""
    error_response = {"Error": {"Code": "NoSuchKey", "Message": "Key does not exist"}}
    fake_client = FakeS3Client(response=error_response)
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    response = await datasource.delete_object_tagging(Bucket="bucket", Key="bad-key")

@pytest.mark.asyncio
async def test_delete_object_tagging_clienterror_exception():
    """Test handling of ClientError exception."""
    fake_client = FakeS3Client(should_fail=True, error_type="ClientError", error_message="Access denied")
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    response = await datasource.delete_object_tagging(Bucket="bucket", Key="key")

@pytest.mark.asyncio
async def test_delete_object_tagging_generic_exception():
    """Test handling of generic exception."""
    fake_client = FakeS3Client(should_fail=True, error_type="Generic", error_message="Something went wrong")
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    response = await datasource.delete_object_tagging(Bucket="bucket", Key="key")

@pytest.mark.asyncio
async def test_delete_object_tagging_concurrent_execution():
    """Test concurrent execution of multiple delete_object_tagging calls."""
    fake_client = FakeS3Client()
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    # Prepare 10 concurrent calls with different keys
    tasks = [
        datasource.delete_object_tagging(Bucket="bucket", Key=f"key-{i}")
        for i in range(10)
    ]
    results = await asyncio.gather(*tasks)
    for i, response in enumerate(results):
        pass

# 3. Large Scale Test Cases

@pytest.mark.asyncio
async def test_delete_object_tagging_large_scale_concurrent():
    """Test large scale concurrent delete_object_tagging calls (100 calls)."""
    fake_client = FakeS3Client()
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    num_calls = 100
    tasks = [
        datasource.delete_object_tagging(Bucket="bucket", Key=f"key-{i}", VersionId=str(i))
        for i in range(num_calls)
    ]
    results = await asyncio.gather(*tasks)
    for i, response in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_delete_object_tagging_large_scale_error_handling():
    """Test large scale error handling with mixed success and error responses."""
    # Alternate between good and bad keys
    def make_client(i):
        if i % 2 == 0:
            return FakeS3Client()
        else:
            return FakeS3Client(response={"Error": {"Code": "NoSuchKey", "Message": f"Key-{i} not found"}})
    num_calls = 50
    datasources = [
        S3DataSource(S3Client(FakeSession(make_client(i))))
        for i in range(num_calls)
    ]
    tasks = [
        datasources[i].delete_object_tagging(Bucket="bucket", Key=f"key-{i}")
        for i in range(num_calls)
    ]
    results = await asyncio.gather(*tasks)
    for i, response in enumerate(results):
        if i % 2 == 0:
            pass
        else:
            pass

# 4. Throughput Test Cases

@pytest.mark.asyncio
async def test_delete_object_tagging_throughput_small_load():
    """Throughput test: small load (10 requests)."""
    fake_client = FakeS3Client()
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    tasks = [
        datasource.delete_object_tagging(Bucket="bucket", Key=f"key-{i}")
        for i in range(10)
    ]
    results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_delete_object_tagging_throughput_medium_load():
    """Throughput test: medium load (50 requests)."""
    fake_client = FakeS3Client()
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    tasks = [
        datasource.delete_object_tagging(Bucket="bucket", Key=f"key-{i}")
        for i in range(50)
    ]
    results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_delete_object_tagging_throughput_high_load():
    """Throughput test: high load (200 requests)."""
    fake_client = FakeS3Client()
    session = FakeSession(fake_client)
    s3_client = S3Client(session)
    datasource = S3DataSource(s3_client)
    tasks = [
        datasource.delete_object_tagging(Bucket="bucket", Key=f"key-{i}")
        for i in range(200)
    ]
    results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_delete_object_tagging_throughput_mixed_load():
    """Throughput test: mixed load with errors (30 requests, 10 errors)."""
    def make_client(i):
        if i % 3 == 0:
            return FakeS3Client(response={"Error": {"Code": "NoSuchKey", "Message": f"Key-{i} not found"}})
        else:
            return FakeS3Client()
    num_calls = 30
    datasources = [
        S3DataSource(S3Client(FakeSession(make_client(i))))
        for i in range(num_calls)
    ]
    tasks = [
        datasources[i].delete_object_tagging(Bucket="bucket", Key=f"key-{i}")
        for i in range(num_calls)
    ]
    results = await asyncio.gather(*tasks)
    for i, response 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.
#------------------------------------------------
from app.sources.external.s3.s3 import S3DataSource

To edit these changes git checkout codeflash/optimize-S3DataSource.delete_object_tagging-mhcxm2dk and push.

Codeflash Static Badge

The optimized code achieves a **46% runtime improvement** (1.22ms → 832μs) and **1.9% throughput improvement** through two key optimizations:

**1. Non-blocking session retrieval with `asyncio.to_thread()`**
- **Original**: `self._session = self._s3_client.get_session()` - synchronous call that blocks the event loop
- **Optimized**: `self._session = await asyncio.to_thread(self._s3_client.get_session)` - runs the synchronous call in a thread pool

This prevents event loop blocking when `S3Client.get_session()` performs synchronous operations (likely credential resolution or session initialization), allowing other async tasks to continue processing.

**2. Direct method call instead of `getattr()`**
- **Original**: `await getattr(s3_client, 'delete_object_tagging')(**kwargs)` - dynamic attribute lookup
- **Optimized**: `await s3_client.delete_object_tagging(**kwargs)` - direct method call

This eliminates the overhead of runtime attribute resolution, reducing method invocation time.

**Performance impact analysis:**
- The line profiler shows the session retrieval time increased slightly (371μs vs 89μs) due to thread pool overhead, but this is offset by preventing event loop blocking
- The `delete_object_tagging` method call becomes more efficient with direct invocation
- **Best for**: High-concurrency scenarios where multiple S3 operations run simultaneously, as the non-blocking session retrieval allows better task interleaving and overall throughput gains
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 October 30, 2025 04:36
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Oct 30, 2025
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