⚡️ Speed up method JiraDataSource.get_comment_property by 27%

[codeflash-ai]

📄 27% (0.27x) speedup for JiraDataSource.get_comment_property in backend/python/app/sources/external/jira/jira.py

⏱️ Runtime : 1.36 milliseconds → 1.07 milliseconds (best of 5 runs)

📝 Explanation and details

The optimization achieves a 27% speedup by implementing a fast-path optimization in the _as_str_dict helper function that eliminates unnecessary dictionary allocations and conversions.

Key Optimization: Smart Dictionary Conversion
The optimized _as_str_dict function adds an early-exit check that returns the original dictionary directly if all keys and values are already strings, avoiding the expensive dictionary comprehension:

# Fast path: avoid allocation if all keys and values are already strings
if all(isinstance(k, str) and isinstance(v, str) for k, v in d.items()):
    return d  # type: ignore

Performance Impact Analysis
Looking at the line profiler results, this optimization significantly reduces the time spent in _as_str_dict:

• Original: 4.09ms total (100% in dict comprehension)
• Optimized: 2.74ms total (73.2% in type checking, only 15.8% in dict comprehension)

The function is called 3 times per request (for headers, path_params, and query_params), making this optimization particularly impactful. In the profiled workload, 1,711 out of 1,824 calls (93.8%) took the fast path, demonstrating that string-only dictionaries are the common case in HTTP request processing.

Why This Works
HTTP request processing typically involves dictionaries that are already string-typed (URLs, headers, query parameters). The optimization leverages this pattern by checking types once upfront rather than converting every key-value pair through str() and _serialize_value() calls.

Test Case Performance
The annotated tests show this optimization is most effective for:

• Basic HTTP requests with standard string parameters
• Concurrent request scenarios where the same optimization applies repeatedly
• Workloads with consistent data types (common in API clients)

Runtime vs Throughput
While individual request runtime improved 27% (1.36ms → 1.07ms), throughput remained constant at 4,920 ops/second, suggesting the bottleneck in concurrent scenarios may be elsewhere (likely network I/O or async event loop overhead).

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 248 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	90.9%

🌀 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 stubs for required classes and helpers ----

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

# HTTPRequest stub
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

# ---- Minimal JiraClient stub ----

class DummyClient:
    def __init__(self, base_url, execute_behavior=None):
        self._base_url = base_url
        self._execute_behavior = execute_behavior or (lambda req: HTTPResponse({'commentId': req.path_params['commentId'], 'propertyKey': req.path_params['propertyKey'], 'headers': req.headers, 'url': req.url}))
        self._closed = False

    def get_base_url(self):
        return self._base_url

    async def execute(self, req):
        # Simulate async execution
        if self._execute_behavior is not None:
            return await self._execute_behavior(req)
        return HTTPResponse({'commentId': req.path_params['commentId'], 'propertyKey': req.path_params['propertyKey'], 'headers': req.headers, 'url': req.url})

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

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

# ---- Async helpers for dummy execution ----

async def dummy_execute(req):
    # Simulate a successful HTTPResponse
    return HTTPResponse({
        'commentId': req.path_params['commentId'],
        'propertyKey': req.path_params['propertyKey'],
        'headers': req.headers,
        'url': req.url,
        'method': req.method,
        'query_params': req.query_params,
        'body': req.body,
    })

async def dummy_execute_with_delay(req):
    await asyncio.sleep(0)  # Simulate async context
    return await dummy_execute(req)

async def dummy_execute_raises(req):
    raise RuntimeError("Simulated execution error")

# ---- TEST CASES ----

# BASIC TEST CASES

@pytest.mark.asyncio




async def test_get_comment_property_missing_get_base_url_raises():
    """Test that ValueError is raised if client lacks get_base_url method."""
    class BadClient:
        pass
    with pytest.raises(ValueError, match="HTTP client does not have get_base_url method"):
        JiraDataSource(JiraClient(BadClient()))

@pytest.mark.asyncio
async def test_get_comment_property_execute_raises_exception():
    """Test that exceptions in execute are propagated."""
    client = DummyClient("https://jira.example.com", execute_behavior=dummy_execute_raises)
    ds = JiraDataSource(JiraClient(client))
    with pytest.raises(RuntimeError, match="Simulated execution error"):
        await ds.get_comment_property("999", "failprop")

@pytest.mark.asyncio








#------------------------------------------------
import asyncio

import pytest
from app.sources.external.jira.jira import JiraDataSource

# --- Minimal stubs for dependencies ---

class HTTPResponse:
    """Stub for HTTPResponse, mimics a real HTTP response object."""
    def __init__(self, data):
        self.data = data

    def __eq__(self, other):
        # For testing, equality is based on data attribute
        if isinstance(other, HTTPResponse):
            return self.data == other.data
        return False

class HTTPRequest:
    """Stub for HTTPRequest, mimics a real HTTP request object."""
    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

# --- Mocks for JiraClient and HTTPClient ---

class MockHTTPClient:
    """A mock HTTP client that records requests and returns canned HTTPResponse objects."""

    def __init__(self, base_url="https://mock.jira", execute_behavior=None):
        self._base_url = base_url
        # execute_behavior: callable taking HTTPRequest and returning HTTPResponse or raising
        self._execute_behavior = execute_behavior or self._default_execute

    def get_base_url(self):
        return self._base_url

    async def execute(self, request):
        return await self._execute_behavior(request)

    async def _default_execute(self, request):
        # Returns a HTTPResponse echoing the requested URL and headers for verification
        return HTTPResponse({
            "url": request.url,
            "headers": request.headers,
            "path_params": request.path_params,
            "query_params": request.query_params,
            "body": request.body,
            "method": request.method,
        })

class MockJiraClient:
    """A mock JiraClient that wraps a MockHTTPClient."""
    def __init__(self, http_client):
        self.client = http_client

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

# --- TESTS ---

# 1. BASIC TEST CASES

@pytest.mark.asyncio
async def test_get_comment_property_basic_returns_expected_response():
    """Test basic usage: returns HTTPResponse with correct URL, method, and params."""
    client = MockHTTPClient(base_url="https://mock.jira")
    datasource = JiraDataSource(MockJiraClient(client))
    comment_id = "123"
    property_key = "foo"
    response = await datasource.get_comment_property(comment_id, property_key)

@pytest.mark.asyncio

async def test_get_comment_property_basic_async_await_behavior():
    """Test that the function is awaitable and returns a coroutine."""
    client = MockHTTPClient()
    datasource = JiraDataSource(MockJiraClient(client))
    codeflash_output = datasource.get_comment_property("cid", "pkey"); coro = codeflash_output
    result = await coro

# 2. EDGE TEST CASES

@pytest.mark.asyncio

async def test_get_comment_property_raises_when_client_is_none():
    """Test that ValueError is raised if the HTTP client is not initialized."""
    class BadJiraClient:
        def get_client(self):
            return None
    with pytest.raises(ValueError, match="HTTP client is not initialized"):
        JiraDataSource(BadJiraClient())

@pytest.mark.asyncio
async def test_get_comment_property_raises_when_client_has_no_get_base_url():
    """Test that ValueError is raised if get_base_url method is missing."""
    class NoBaseUrlClient:
        pass
    class NoBaseUrlJiraClient:
        def get_client(self):
            return NoBaseUrlClient()
    with pytest.raises(ValueError, match="HTTP client does not have get_base_url method"):
        JiraDataSource(NoBaseUrlJiraClient())

@pytest.mark.asyncio
async def test_get_comment_property_handles_execute_exception():
    """Test that exceptions from the HTTP client propagate."""
    async def raise_execute(request):
        raise RuntimeError("boom")
    client = MockHTTPClient(execute_behavior=raise_execute)
    datasource = JiraDataSource(MockJiraClient(client))
    with pytest.raises(RuntimeError, match="boom"):
        await datasource.get_comment_property("cid", "pkey")

@pytest.mark.asyncio
async def test_get_comment_property_empty_strings_and_special_chars():
    """Test handling of empty strings and special characters in parameters."""
    client = MockHTTPClient()
    datasource = JiraDataSource(MockJiraClient(client))
    comment_id = ""
    property_key = "@!#%$"
    response = await datasource.get_comment_property(comment_id, property_key)

@pytest.mark.asyncio
async def test_get_comment_property_large_header_values():
    """Test with large header values (edge of normal use)."""
    client = MockHTTPClient()
    datasource = JiraDataSource(MockJiraClient(client))
    big_value = "x" * 500
    headers = {"Big": big_value}
    response = await datasource.get_comment_property("cid", "pkey", headers)

# 3. LARGE SCALE TEST CASES

@pytest.mark.asyncio
async def test_get_comment_property_many_concurrent_requests():
    """Test with many concurrent requests (up to 50)."""
    client = MockHTTPClient()
    datasource = JiraDataSource(MockJiraClient(client))
    n = 50
    tasks = [
        datasource.get_comment_property(f"cid{i}", f"pkey{i}")
        for i in range(n)
    ]
    results = await asyncio.gather(*tasks)
    # Check a few spot values
    for i in [0, n//2, n-1]:
        pass

@pytest.mark.asyncio
async def test_get_comment_property_handles_varied_headers_and_params():
    """Test with varied headers and path params in concurrent requests."""
    client = MockHTTPClient()
    datasource = JiraDataSource(MockJiraClient(client))
    n = 10
    tasks = [
        datasource.get_comment_property(
            f"id{i}", f"key{i}",
            headers={"A": i, "B": f"val{i}"}
        )
        for i in range(n)
    ]
    results = await asyncio.gather(*tasks)
    for i, resp in enumerate(results):
        pass

# 4. THROUGHPUT TEST CASES

@pytest.mark.asyncio


async def test_get_comment_property_throughput_varied_load_patterns():
    """Throughput test: bursty and staggered patterns (20, then 30)."""
    client = MockHTTPClient()
    datasource = JiraDataSource(MockJiraClient(client))
    # First burst
    tasks1 = [
        datasource.get_comment_property(f"b1_{i}", f"k1_{i}")
        for i in range(20)
    ]
    # Second burst
    tasks2 = [
        datasource.get_comment_property(f"b2_{i}", f"k2_{i}")
        for i in range(30)
    ]
    results1 = await asyncio.gather(*tasks1)
    results2 = await asyncio.gather(*tasks2)
# 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-JiraDataSource.get_comment_property-mhox5qrr and push.