⚡️ Speed up method JiraDataSource.find_components_for_projects by 20%

[codeflash-ai]

📄 20% (0.20x) speedup for JiraDataSource.find_components_for_projects in backend/python/app/sources/external/jira/jira.py

⏱️ Runtime : 2.53 milliseconds → 2.11 milliseconds (best of 29 runs)

📝 Explanation and details

The optimized code achieves a 19% runtime improvement and 26.1% throughput improvement through two key micro-optimizations:

What was optimized:

1. Local variable caching for self._client: In find_components_for_projects(), the optimized version stores self._client in a local variable _client = self._client at the beginning of the method, then uses this local variable for the null check and final execute() call.

2. Conditional header merging: In HTTPClient.execute(), the optimized version avoids unnecessary dictionary allocation when request.headers is empty by using a conditional check before merging headers.

Why this leads to speedup:

1. Reduced attribute lookups: Python attribute access (self._client) involves dictionary lookups in the object's __dict__. By caching it in a local variable, the optimization eliminates one attribute lookup per method call. The line profiler shows the await _client.execute(req) line improved from 2286.1ns to 2156.4ns per hit.

2. Avoided unnecessary allocations: When request.headers is empty (common case), the original code still creates a new dictionary via {**self.headers, **request.headers}. The optimization skips this allocation entirely, directly using self.headers.

Impact on workloads:

These optimizations particularly benefit high-frequency API calls where the method is invoked repeatedly. The test results show consistent improvements across all test cases, with throughput tests (small/medium/large load) demonstrating the cumulative effect when processing multiple concurrent requests.

Test case performance:

The optimizations are most effective for scenarios with:

• High request volumes (throughput tests show 26% improvement)
• Concurrent execution patterns (large scale tests with 100+ concurrent calls)
• Cases with minimal or no custom headers (avoiding dictionary merging overhead)

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 482 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	95.2%

🌀 Generated Regression Tests and Runtime

import asyncio  # used to run async functions

import pytest  # used for our unit tests
from app.sources.external.jira.jira import JiraDataSource

# --- Minimal stub implementations for dependencies ---

# HTTPRequest and HTTPResponse stubs
class HTTPRequest:
    def __init__(self, method, url, headers, path_params, query_params, body):
        self.method = method
        self.url = url
        self.headers = headers
        self.path_params = path_params
        self.query_params = query_params
        self.body = body

class HTTPResponse:
    def __init__(self, data):
        self.data = data

    def json(self):
        return self.data

# --- Minimal JiraClient and HTTPClient stub implementations ---

class DummyAsyncClient:
    """Dummy async client that simulates httpx.AsyncClient"""
    async def request(self, method, url, **kwargs):
        # Simulate a response based on the URL and query params
        # For testing, just echo back the query params and URL
        return {
            "method": method,
            "url": url,
            "params": kwargs.get("params"),
            "headers": kwargs.get("headers"),
            "json": kwargs.get("json"),
            "data": kwargs.get("data"),
            "content": kwargs.get("content"),
        }

class DummyHTTPClient:
    """A dummy HTTP client that mimics the execute method and base_url"""
    def __init__(self, base_url="http://dummy-jira.local"):
        self.base_url = base_url
        self.headers = {}
        self.client = DummyAsyncClient()

    def get_base_url(self):
        return self.base_url

    async def execute(self, request: HTTPRequest, **kwargs):
        # Simulate the response as HTTPResponse
        # Return a dict with the relevant request info for validation
        data = {
            "method": request.method,
            "url": request.url,
            "headers": request.headers,
            "path_params": request.path_params,
            "query_params": request.query_params,
            "body": request.body,
        }
        return HTTPResponse(data)

class JiraClient:
    def __init__(self, client):
        self.client = client

    def get_client(self):
        return self.client
from app.sources.external.jira.jira import JiraDataSource

# ---- Unit Tests ----

# Basic Test Cases

@pytest.mark.asyncio
async def test_find_components_for_projects_basic_single_project():
    """Test basic functionality with a single project ID"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    response = await ds.find_components_for_projects(projectIdsOrKeys=["PROJ1"])
    data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_basic_multiple_projects():
    """Test with multiple project IDs"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    project_ids = ["PROJ1", "PROJ2", "PROJ3"]
    response = await ds.find_components_for_projects(projectIdsOrKeys=project_ids)
    data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_basic_all_params():
    """Test with all parameters provided"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    response = await ds.find_components_for_projects(
        projectIdsOrKeys=["PROJ1"],
        startAt=10,
        maxResults=50,
        orderBy="name",
        query="component"
    )
    data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_basic_headers():
    """Test custom headers are passed through correctly"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    custom_headers = {"X-Test-Header": "value"}
    response = await ds.find_components_for_projects(headers=custom_headers)
    data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_basic_no_params():
    """Test with no parameters (all defaults)"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    response = await ds.find_components_for_projects()
    data = response.data

# Edge Test Cases

@pytest.mark.asyncio
async def test_find_components_for_projects_edge_empty_project_list():
    """Test with empty projectIdsOrKeys list"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    response = await ds.find_components_for_projects(projectIdsOrKeys=[])
    data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_edge_none_client():
    """Test with None client, should raise ValueError"""
    class DummyBadClient:
        def get_client(self):
            return None
    with pytest.raises(ValueError):
        JiraDataSource(JiraClient(DummyBadClient()))

@pytest.mark.asyncio
async def test_find_components_for_projects_edge_missing_get_base_url():
    """Test with client missing get_base_url method, should raise ValueError"""
    class DummyBadClient:
        pass
    with pytest.raises(ValueError):
        JiraDataSource(JiraClient(DummyBadClient()))

@pytest.mark.asyncio
async def test_find_components_for_projects_edge_non_str_header_values():
    """Test with header values that are not strings"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    headers = {"X-Int-Header": 123, "X-Bool-Header": True}
    response = await ds.find_components_for_projects(headers=headers)
    data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_edge_concurrent_execution():
    """Test concurrent execution of the function"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    # Run 5 concurrent requests with different params
    coros = [
        ds.find_components_for_projects(projectIdsOrKeys=[f"PROJ{i}"], startAt=i)
        for i in range(5)
    ]
    responses = await asyncio.gather(*coros)
    for i, response in enumerate(responses):
        data = response.data

# Large Scale Test Cases

@pytest.mark.asyncio
async def test_find_components_for_projects_large_scale_many_projects():
    """Test with a large number of project IDs (up to 500)"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    project_ids = [f"PROJ{i}" for i in range(500)]
    response = await ds.find_components_for_projects(projectIdsOrKeys=project_ids)
    data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_large_scale_many_concurrent():
    """Test many concurrent requests (100)"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    coros = [
        ds.find_components_for_projects(projectIdsOrKeys=[f"PROJ{i}"], startAt=i)
        for i in range(100)
    ]
    responses = await asyncio.gather(*coros)
    # Ensure all responses are correct
    for i, response in enumerate(responses):
        data = response.data

# Throughput Test Cases

@pytest.mark.asyncio
async def test_find_components_for_projects_throughput_small_load():
    """Throughput test: small load (10 concurrent requests)"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    coros = [
        ds.find_components_for_projects(projectIdsOrKeys=[f"PROJ{i}"])
        for i in range(10)
    ]
    responses = await asyncio.gather(*coros)
    # Check that all responses are correct
    for i, response in enumerate(responses):
        data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_throughput_medium_load():
    """Throughput test: medium load (50 concurrent requests)"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    coros = [
        ds.find_components_for_projects(projectIdsOrKeys=[f"PROJ{i}"])
        for i in range(50)
    ]
    responses = await asyncio.gather(*coros)
    for i, response in enumerate(responses):
        data = response.data

@pytest.mark.asyncio
async def test_find_components_for_projects_throughput_large_load():
    """Throughput test: large load (200 concurrent requests)"""
    client = JiraClient(DummyHTTPClient())
    ds = JiraDataSource(client)
    coros = [
        ds.find_components_for_projects(projectIdsOrKeys=[f"PROJ{i}"])
        for i in range(200)
    ]
    responses = await asyncio.gather(*coros)
    for i, response in enumerate(responses):
        data = response.data
# 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 app.sources.external.jira.jira import JiraDataSource

# --- Minimal stubs for dependencies (do not mock, just minimal real implementations) ---

class HTTPResponse:
    """A simple HTTPResponse stub for testing."""
    def __init__(self, data):
        self.data = data

    def json(self):
        return self.data

class HTTPRequest:
    """A simple HTTPRequest stub for testing."""
    def __init__(self, method, url, headers, path_params, query_params, body):
        self.method = method
        self.url = url
        self.headers = headers
        self.path_params = path_params
        self.query_params = query_params
        self.body = body

# --- Stubs for JiraClient and HTTPClient ---

class DummyAsyncHTTPClient:
    """A dummy async HTTP client that records calls and returns canned responses."""
    def __init__(self, base_url="http://dummy", canned_response=None):
        self._base_url = base_url
        self._calls = []
        self._canned_response = canned_response or HTTPResponse({"ok": True})
        self.raise_on_execute = None  # For exception simulation

    def get_base_url(self):
        return self._base_url

    async def execute(self, req):
        self._calls.append(req)
        if self.raise_on_execute:
            raise self.raise_on_execute
        # Return a response that echoes the request for inspection
        return HTTPResponse({
            "method": req.method,
            "url": req.url,
            "headers": req.headers,
            "path_params": req.path_params,
            "query_params": req.query_params,
            "body": req.body
        })

class JiraClient:
    def __init__(self, client):
        self.client = client
    def get_client(self):
        return self.client
from app.sources.external.jira.jira import JiraDataSource

# --- TESTS START HERE ---

# -----------------------
# 1. Basic Test Cases
# -----------------------

@pytest.mark.asyncio
async def test_find_components_basic_no_args():
    """Test: Basic call with no arguments."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    resp = await ds.find_components_for_projects()

@pytest.mark.asyncio
async def test_find_components_with_all_args():
    """Test: All arguments provided."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    args = {
        "projectIdsOrKeys": ["PRJ1", "PRJ2"],
        "startAt": 10,
        "maxResults": 50,
        "orderBy": "name",
        "query": "searchtext",
        "headers": {"X-Test": "val"}
    }
    resp = await ds.find_components_for_projects(**args)
    # Check that all query params are present and correct
    qp = resp.data['query_params']

@pytest.mark.asyncio
async def test_find_components_with_empty_lists_and_none():
    """Test: projectIdsOrKeys as empty list, other params as None."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    resp = await ds.find_components_for_projects(projectIdsOrKeys=[], startAt=None, maxResults=None)
    # Empty list should serialize to empty string
    qp = resp.data['query_params']

# -----------------------
# 2. Edge Test Cases
# -----------------------

@pytest.mark.asyncio
async def test_find_components_concurrent_calls():
    """Test: Multiple concurrent calls with different arguments."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    async def call1():
        return await ds.find_components_for_projects(projectIdsOrKeys=["A"])
    async def call2():
        return await ds.find_components_for_projects(projectIdsOrKeys=["B"], startAt=5)
    results = await asyncio.gather(call1(), call2())

@pytest.mark.asyncio

async def test_find_components_exception_on_execute():
    """Test: Should propagate exceptions raised by the HTTP client."""
    client = DummyAsyncHTTPClient()
    client.raise_on_execute = RuntimeError("fail!")
    ds = JiraDataSource(JiraClient(client))
    with pytest.raises(RuntimeError, match="fail!"):
        await ds.find_components_for_projects(projectIdsOrKeys=["X"])

@pytest.mark.asyncio
async def test_find_components_invalid_base_url_method():
    """Test: Should raise ValueError if client lacks get_base_url."""
    class NoBaseUrlClient:
        pass
    with pytest.raises(ValueError, match="get_base_url"):
        JiraDataSource(JiraClient(NoBaseUrlClient()))

@pytest.mark.asyncio
async def test_find_components_custom_headers_merge():
    """Test: Custom headers are merged and stringified."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    resp = await ds.find_components_for_projects(headers={"X-Foo": 123, "X-Bar": True})

# -----------------------
# 3. Large Scale Test Cases
# -----------------------

@pytest.mark.asyncio
async def test_find_components_large_project_list():
    """Test: Large projectIdsOrKeys list (edge of reasonable size)."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    projects = [f"PRJ{i}" for i in range(100)]
    resp = await ds.find_components_for_projects(projectIdsOrKeys=projects)
    # Should serialize all project IDs as comma-separated string
    qp = resp.data['query_params']

@pytest.mark.asyncio
async def test_find_components_concurrent_large():
    """Test: Many concurrent calls with different project keys."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    async def call(idx):
        return await ds.find_components_for_projects(projectIdsOrKeys=[f"P{idx}"])
    results = await asyncio.gather(*(call(i) for i in range(20)))
    # Each result should have the correct project ID
    for i, resp in enumerate(results):
        pass

# -----------------------
# 4. Throughput Test Cases
# -----------------------

@pytest.mark.asyncio
async def test_find_components_for_projects_throughput_small_load():
    """Throughput: Small batch of requests, should all succeed."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    tasks = [ds.find_components_for_projects(projectIdsOrKeys=[f"PRJ{i}"]) for i in range(5)]
    results = await asyncio.gather(*tasks)
    # Each result should have the correct project ID
    for i, resp in enumerate(results):
        pass

@pytest.mark.asyncio
async def test_find_components_for_projects_throughput_medium_load():
    """Throughput: Medium batch of requests."""
    client = DummyAsyncHTTPClient()
    ds = JiraDataSource(JiraClient(client))
    tasks = [ds.find_components_for_projects(projectIdsOrKeys=[f"PRJ{i}"]) for i in range(50)]
    results = await asyncio.gather(*tasks)
    for i, resp in enumerate(results):
        pass

@pytest.mark.asyncio

To edit these changes git checkout codeflash/optimize-JiraDataSource.find_components_for_projects-mhoyfuch and push.