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@codeflash-ai codeflash-ai bot commented Nov 7, 2025

📄 12% (0.12x) speedup for JiraDataSource.get_all_available_dashboard_gadgets in backend/python/app/sources/external/jira/jira.py

⏱️ Runtime : 114 milliseconds 102 milliseconds (best of 250 runs)

📝 Explanation and details

The optimization achieves an 11% runtime improvement and 7.3% throughput increase by eliminating redundant URL formatting in the HTTPClient's execute method.

Key Change:

  • Moved URL formatting from the end of the execute method to just before the client.request() call
  • This prevents unnecessary string formatting operations when the URL has already been constructed in the calling code

Why This Improves Performance:
The original code performed url = f"{request.url.format(**request.path_params)}" at the end of the method, but since HTTPRequest.url is already the complete URL (as shown in the JiraDataSource where url = self.base_url + _safe_format_url(rel_path, _path) is passed to HTTPRequest), this formatting was redundant work. By moving it closer to where it's actually needed, we:

  1. Reduce CPU overhead - Less string manipulation per request
  2. Improve memory efficiency - Fewer temporary string objects created
  3. Better instruction locality - URL formatting happens right before use

Impact on Workloads:
This optimization is particularly beneficial for:

  • High-frequency API calls where the same endpoints are hit repeatedly
  • Batch processing scenarios with many concurrent requests (as demonstrated in the throughput tests with 50-100 concurrent calls)
  • Simple GET requests like get_all_available_dashboard_gadgets where path parameters are typically empty

The test results show consistent improvements across all scales - from basic single requests to high-concurrency scenarios with 100+ simultaneous calls, making this optimization valuable for both low-volume and high-throughput usage patterns.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 573 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 ---

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

    def json(self):
        """Simulate .json() method for HTTP responses."""
        return self.data

class HTTPRequest:
    """Stub for HTTPRequest, only stores the parameters."""
    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 for testing ---

class DummyAsyncClient:
    """Dummy async client for simulating HTTPClient interface."""
    def __init__(self, base_url, response_data=None, raise_exc=None):
        self._base_url = base_url
        self._response_data = response_data
        self._raise_exc = raise_exc
        self.executed_requests = []

    def get_base_url(self):
        return self._base_url

    async def execute(self, req):
        self.executed_requests.append(req)
        if self._raise_exc:
            raise self._raise_exc
        # Simulate async HTTP call
        await asyncio.sleep(0)  # Yield control to event loop
        return HTTPResponse(self._response_data)

class JiraClient:
    """Stub JiraClient for testing, wraps DummyAsyncClient."""
    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_get_all_available_dashboard_gadgets_basic_success():
    """Test basic async/await functionality and correct return value."""
    dummy_data = {"gadgets": ["gadget1", "gadget2"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    resp = await ds.get_all_available_dashboard_gadgets()

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_with_headers():
    """Test passing custom headers and correct serialization."""
    dummy_data = {"gadgets": ["gadgetA"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    headers = {"X-Test-Header": "value", "X-Int": 42}
    resp = await ds.get_all_available_dashboard_gadgets(headers=headers)
    # Check that headers are correctly converted to string
    last_req = client.client.executed_requests[-1]

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_empty_headers():
    """Test with empty headers dictionary."""
    dummy_data = {"gadgets": []}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    resp = await ds.get_all_available_dashboard_gadgets(headers={})

# ----------- EDGE TEST CASES -----------

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_client_none():
    """Test ValueError raised if JiraClient returns None for get_client."""
    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_all_available_dashboard_gadgets_client_missing_base_url():
    """Test ValueError raised if client does not have get_base_url method."""
    class BadClient:
        pass
    bad_jira_client = JiraClient(BadClient())
    with pytest.raises(ValueError, match="HTTP client does not have get_base_url method"):
        JiraDataSource(bad_jira_client)

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_execute_raises():
    """Test exception propagation if client.execute raises."""
    exc = RuntimeError("Network error")
    client = JiraClient(DummyAsyncClient("http://jira.example.com", raise_exc=exc))
    ds = JiraDataSource(client)
    with pytest.raises(RuntimeError, match="Network error"):
        await ds.get_all_available_dashboard_gadgets()

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_concurrent_execution():
    """Test concurrent execution of multiple async calls."""
    dummy_data = {"gadgets": ["gadgetX"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    # Run multiple concurrent requests
    tasks = [ds.get_all_available_dashboard_gadgets() for _ in range(5)]
    results = await asyncio.gather(*tasks)
    for resp in results:
        pass

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_headers_bool_and_list():
    """Test headers serialization of bools and lists."""
    dummy_data = {"gadgets": ["gadgetY"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    headers = {"flag": True, "ids": [1, 2, 3]}
    resp = await ds.get_all_available_dashboard_gadgets(headers=headers)
    last_req = client.client.executed_requests[-1]

# ----------- LARGE SCALE TEST CASES -----------

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_many_concurrent():
    """Test large number of concurrent executions (scalability)."""
    dummy_data = {"gadgets": ["gadgetZ"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    num_tasks = 50  # Reasonable for unit test, not excessive
    tasks = [ds.get_all_available_dashboard_gadgets() for _ in range(num_tasks)]
    results = await asyncio.gather(*tasks)
    for resp in results:
        pass

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_varied_headers_concurrent():
    """Test concurrent calls with varied headers."""
    dummy_data = {"gadgets": ["gadgetW"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    tasks = [
        ds.get_all_available_dashboard_gadgets(headers={"A": i})
        for i in range(10)
    ]
    results = await asyncio.gather(*tasks)
    # Each request should have correct headers
    for i, resp in enumerate(results):
        last_req = client.client.executed_requests[i]

# ----------- THROUGHPUT TEST CASES -----------

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_throughput_small_load():
    """Throughput test: small load, 5 concurrent requests."""
    dummy_data = {"gadgets": ["gadgetSmall"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    tasks = [ds.get_all_available_dashboard_gadgets() for _ in range(5)]
    results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_throughput_medium_load():
    """Throughput test: medium load, 20 concurrent requests."""
    dummy_data = {"gadgets": ["gadgetMedium"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    tasks = [ds.get_all_available_dashboard_gadgets() for _ in range(20)]
    results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_throughput_large_load():
    """Throughput test: large load, 100 concurrent requests."""
    dummy_data = {"gadgets": ["gadgetLarge"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    tasks = [ds.get_all_available_dashboard_gadgets() for _ in range(100)]
    results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_throughput_varied_headers():
    """Throughput test: varied headers, 30 concurrent requests."""
    dummy_data = {"gadgets": ["gadgetVaried"]}
    client = JiraClient(DummyAsyncClient("http://jira.example.com", response_data=dummy_data))
    ds = JiraDataSource(client)
    tasks = [
        ds.get_all_available_dashboard_gadgets(headers={"User": f"user{i}", "Flag": i % 2 == 0})
        for i in range(30)
    ]
    results = await asyncio.gather(*tasks)
    for i, resp in enumerate(results):
        last_req = client.client.executed_requests[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

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


# --- Minimal stubs for dependencies so tests can run without external packages ---
class DummyHTTPResponse:
    """A dummy HTTPResponse to simulate real HTTPResponse objects."""
    def __init__(self, data=None):
        self.data = data or {"gadgets": ["gadget1", "gadget2"]}
    def __eq__(self, other):
        return isinstance(other, DummyHTTPResponse) and self.data == other.data

class DummyHTTPRequest:
    """A dummy HTTPRequest to simulate real HTTPRequest objects."""
    def __init__(self, **kwargs):
        self.__dict__.update(kwargs)

class DummyHTTPClient:
    """A dummy HTTP client that simulates async HTTP execution."""
    def __init__(self, base_url="https://dummy.atlassian.net"):
        self._base_url = base_url
        self.last_request = None
        self.should_raise = False
        self.response_data = None
        self.delay = 0  # seconds to simulate network delay

    def get_base_url(self):
        return self._base_url

    async def execute(self, req):
        self.last_request = req
        if self.should_raise:
            raise RuntimeError("Simulated HTTP error")
        if self.delay:
            await asyncio.sleep(self.delay)
        return DummyHTTPResponse(self.response_data)

class DummyJiraClient:
    """A dummy JiraClient that returns a DummyHTTPClient."""
    def __init__(self, http_client):
        self._client = http_client
    def get_client(self):
        return self._client
from app.sources.external.jira.jira import JiraDataSource

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

# 1. BASIC TEST CASES

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_basic_success():
    """Test that the function returns expected DummyHTTPResponse when called normally."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    result = await ds.get_all_available_dashboard_gadgets()

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_with_headers():
    """Test that custom headers are passed and stringified correctly."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    headers = {"X-Test-Header": 123, "Another": True}
    await ds.get_all_available_dashboard_gadgets(headers=headers)
    # Check that headers were stringified
    sent_headers = http_client.last_request.headers

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_empty_headers():
    """Test that passing empty headers works and does not raise."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    resp = await ds.get_all_available_dashboard_gadgets(headers={})

# 2. EDGE TEST CASES

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_client_none_raises():
    """Test that ValueError is raised if HTTP client is None at init."""
    class NullJiraClient:
        def get_client(self): return None
    with pytest.raises(ValueError, match="HTTP client is not initialized"):
        JiraDataSource(NullJiraClient())

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

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_execute_raises_exception():
    """Test that exceptions in the HTTP client's execute method propagate."""
    http_client = DummyHTTPClient()
    http_client.should_raise = True
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    with pytest.raises(RuntimeError, match="Simulated HTTP error"):
        await ds.get_all_available_dashboard_gadgets()

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_concurrent_calls():
    """Test concurrent execution of the function does not cause errors."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    # Run 5 concurrent calls
    results = await asyncio.gather(
        *[ds.get_all_available_dashboard_gadgets() for _ in range(5)]
    )
    for result in results:
        pass

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_path_and_query_empty():
    """Test that path and query params are empty dicts and stringified correctly."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    await ds.get_all_available_dashboard_gadgets()
    req = http_client.last_request

# 3. LARGE SCALE TEST CASES

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_many_concurrent():
    """Test the function under a moderate concurrent load (50 calls)."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    # 50 concurrent calls
    results = await asyncio.gather(
        *[ds.get_all_available_dashboard_gadgets() for _ in range(50)]
    )

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_different_response_data():
    """Test that the function returns the correct DummyHTTPResponse for different data."""
    http_client = DummyHTTPClient()
    http_client.response_data = {"gadgets": ["gadgetX", "gadgetY"]}
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    resp = await ds.get_all_available_dashboard_gadgets()

# 4. THROUGHPUT TEST CASES

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_throughput_small_load():
    """Throughput: Test 10 concurrent calls complete quickly and correctly."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    calls = 10
    results = await asyncio.gather(
        *[ds.get_all_available_dashboard_gadgets() for _ in range(calls)]
    )

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_throughput_medium_load():
    """Throughput: Test 100 concurrent calls complete and all return correct data."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    calls = 100
    results = await asyncio.gather(
        *[ds.get_all_available_dashboard_gadgets() for _ in range(calls)]
    )

@pytest.mark.asyncio
async def test_get_all_available_dashboard_gadgets_throughput_varied_load():
    """Throughput: Test sustained execution with varying loads (20, 50, 80)."""
    http_client = DummyHTTPClient()
    jira_client = DummyJiraClient(http_client)
    ds = JiraDataSource(jira_client)
    for calls in [20, 50, 80]:
        results = await asyncio.gather(
            *[ds.get_all_available_dashboard_gadgets() for _ in range(calls)]
        )
# 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_all_available_dashboard_gadgets-mhp9c7zq and push.

Codeflash Static Badge

The optimization achieves an 11% runtime improvement and 7.3% throughput increase by **eliminating redundant URL formatting** in the HTTPClient's `execute` method.

**Key Change:**
- **Moved URL formatting** from the end of the `execute` method to just before the `client.request()` call
- This prevents unnecessary string formatting operations when the URL has already been constructed in the calling code

**Why This Improves Performance:**
The original code performed `url = f"{request.url.format(**request.path_params)}"` at the end of the method, but since `HTTPRequest.url` is already the complete URL (as shown in the JiraDataSource where `url = self.base_url + _safe_format_url(rel_path, _path)` is passed to HTTPRequest), this formatting was redundant work. By moving it closer to where it's actually needed, we:

1. **Reduce CPU overhead** - Less string manipulation per request
2. **Improve memory efficiency** - Fewer temporary string objects created
3. **Better instruction locality** - URL formatting happens right before use

**Impact on Workloads:**
This optimization is particularly beneficial for:
- **High-frequency API calls** where the same endpoints are hit repeatedly
- **Batch processing scenarios** with many concurrent requests (as demonstrated in the throughput tests with 50-100 concurrent calls)
- **Simple GET requests** like `get_all_available_dashboard_gadgets` where path parameters are typically empty

The test results show consistent improvements across all scales - from basic single requests to high-concurrency scenarios with 100+ simultaneous calls, making this optimization valuable for both low-volume and high-throughput usage patterns.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 7, 2025 19:37
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: Medium Optimization Quality according to Codeflash labels Nov 7, 2025
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