⚡️ Speed up method JiraDataSource.get_dashboard by 44%

[codeflash-ai]

📄 44% (0.44x) speedup for JiraDataSource.get_dashboard in backend/python/app/sources/external/jira/jira.py

⏱️ Runtime : 3.53 milliseconds → 2.46 milliseconds (best of 221 runs)

📝 Explanation and details

The optimized code achieves a 43% runtime improvement and 17.6% throughput increase through three key optimizations that eliminate unnecessary overhead in the hot path of get_dashboard:

1. Eliminated Complex URL Formatting

• Original: Used _safe_format_url(rel_path, _path) which calls template.format_map(_SafeDict(params)) and includes exception handling
• Optimized: Direct string replacement with rel_path.replace('{id}', str(id))
• Impact: Line profiler shows URL construction dropped from 19.6% to 4.9% of total time - a ~75% reduction in this operation

2. Avoided Unnecessary Dictionary Construction

• Original: Always called dict(headers or {}) which creates a new dictionary even when headers is None
• Optimized: Uses conditional assignment headers if headers is not None else {} to avoid allocation when headers is None
• Impact: Reduced memory allocation overhead, particularly beneficial in concurrent scenarios

3. Inlined Dictionary Conversions for Known Small Collections

• Original: Called _as_str_dict() for _path (always 1 item) and _query (always empty)
• Optimized: Directly constructs the small dictionaries inline: {'id': _serialize_value(id)} and {}
• Impact: Line profiler shows path_params conversion time dropped from 20% to 14.5% of total execution

Performance Benefits by Test Type:

• Basic operations: All basic tests benefit from reduced per-call overhead
• Concurrent workloads: The 50-200 concurrent test cases see amplified benefits since each call is faster
• Edge cases: String handling optimizations are particularly effective for special characters and long IDs

The optimizations are most effective in high-throughput scenarios where get_dashboard is called frequently, as they eliminate function call overhead and unnecessary object allocations in the critical path. The HTTP client header merging optimization in the second file further reduces dictionary operations when request headers are present.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 852 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	100.0%

🌀 Generated Regression Tests and Runtime

import asyncio # For async test execution

import pytest # For pytest-based unit tests
from app.sources.external.jira.jira import JiraDataSource

--- Minimal stubs for dependencies to allow testing JiraDataSource.get_dashboard ---

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

def json(self):
    return self.data

class HTTPRequest:
"""Stub for HTTPRequest, simulates an 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

--- Minimal JiraClient stub for testing ---

class DummyClient:
"""Dummy client to simulate JiraRESTClient behavior."""
def init(self, base_url):
self._base_url = base_url
self.requests = []

def get_base_url(self):
    return self._base_url

async def execute(self, req):
    # Simulate different responses based on the request
    self.requests.append(req)
    # For test purposes, echo back the request details in the HTTPResponse
    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:
"""Stub JiraClient wrapper."""
def init(self, client):
self.client = client

def get_client(self):
    return self.client

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

--- Basic Test Cases ---

@pytest.mark.asyncio
async def test_get_dashboard_basic_returns_expected_response():
"""Test basic async/await behavior and expected response."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
response = await ds.get_dashboard("123")
data = response.json()

@pytest.mark.asyncio
async def test_get_dashboard_basic_with_headers():
"""Test that headers are passed and serialized correctly."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
headers = {"Authorization": "Bearer token", "X-Custom": 42}
response = await ds.get_dashboard("456", headers=headers)
data = response.json()

@pytest.mark.asyncio
async def test_get_dashboard_basic_with_str_id():
"""Test that string IDs are handled correctly."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
response = await ds.get_dashboard("dashboard-xyz")
data = response.json()

--- Edge Test Cases ---

@pytest.mark.asyncio
async def test_get_dashboard_edge_empty_id():
"""Test with empty string ID (edge case)."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
response = await ds.get_dashboard("")
data = response.json()

@pytest.mark.asyncio
async def test_get_dashboard_edge_none_headers():
"""Test with headers set to None explicitly."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
response = await ds.get_dashboard("789", headers=None)
data = response.json()

@pytest.mark.asyncio
async def test_get_dashboard_edge_non_str_header_values():
"""Test headers with non-string values (should be serialized to strings)."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
headers = {"X-Int": 100, "X-Bool": True, "X-None": None}
response = await ds.get_dashboard("edge", headers=headers)
data = response.json()

@pytest.mark.asyncio
async def test_get_dashboard_edge_client_not_initialized():
"""Test ValueError raised when client is None."""
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_dashboard_edge_client_missing_get_base_url():
"""Test ValueError raised when client lacks get_base_url method."""
class BadClient:
pass
class BadJiraClient:
def get_client(self):
return BadClient()
with pytest.raises(ValueError, match="HTTP client does not have get_base_url method"):
JiraDataSource(BadJiraClient())

@pytest.mark.asyncio
async def test_get_dashboard_concurrent_execution():
"""Test concurrent execution of multiple get_dashboard calls."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
ids = [str(i) for i in range(5)]
coros = [ds.get_dashboard(i) for i in ids]
responses = await asyncio.gather(*coros)
for idx, response in enumerate(responses):
data = response.json()

--- Large Scale Test Cases ---

@pytest.mark.asyncio
async def test_get_dashboard_large_scale_concurrent_50():
"""Test 50 concurrent get_dashboard calls for scalability."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
ids = [f"dash-{i}" for i in range(50)]
coros = [ds.get_dashboard(i) for i in ids]
responses = await asyncio.gather(*coros)
for idx, response in enumerate(responses):
data = response.json()

@pytest.mark.asyncio
async def test_get_dashboard_large_scale_long_id():
"""Test with a very long dashboard ID."""
long_id = "x" * 512
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
response = await ds.get_dashboard(long_id)
data = response.json()

--- Throughput Test Cases ---

@pytest.mark.asyncio
async def test_get_dashboard_throughput_small_load():
"""Throughput test: 10 concurrent get_dashboard calls (small load)."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
ids = [f"t-{i}" for i in range(10)]
coros = [ds.get_dashboard(i) for i in ids]
responses = await asyncio.gather(*coros)
for idx, response in enumerate(responses):
data = response.json()

@pytest.mark.asyncio
async def test_get_dashboard_throughput_medium_load():
"""Throughput test: 100 concurrent get_dashboard calls (medium load)."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
ids = [f"m-{i}" for i in range(100)]
coros = [ds.get_dashboard(i) for i in ids]
responses = await asyncio.gather(*coros)
for idx, response in enumerate(responses):
data = response.json()

@pytest.mark.asyncio
async def test_get_dashboard_throughput_large_load():
"""Throughput test: 200 concurrent get_dashboard calls (large load, but bounded)."""
dummy_client = DummyClient(base_url="https://jira.example.com")
jira_client = JiraClient(dummy_client)
ds = JiraDataSource(jira_client)
ids = [f"L-{i}" for i in range(200)]
coros = [ds.get_dashboard(i) for i in ids]
responses = await asyncio.gather(*coros)
for idx, response in enumerate(responses):
data = response.json()

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 HTTPRequest/HTTPResponse for testing ----

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

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

class MockHTTPClient:
def init(self, base_url="https://mockjira.com"):
self.base_url = base_url
self.executed_requests = []

def get_base_url(self):
    return self.base_url

async def execute(self, request, **kwargs):
    # Simulate a response based on the request
    self.executed_requests.append(request)
    # Simulate dashboard response
    return HTTPResponse({
        "dashboard_id": request.path_params.get("id"),
        "url": request.url,
        "headers": request.headers,
        "query_params": request.query_params,
        "body": request.body
    })

class MockJiraClient:
def init(self, client=None):
self.client = 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_dashboard_basic_returns_expected_response():
"""Test basic successful dashboard retrieval."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
dashboard_id = "123"
response = await ds.get_dashboard(dashboard_id)

@pytest.mark.asyncio
async def test_get_dashboard_with_custom_headers():
"""Test passing custom headers to the request."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
dashboard_id = "abc"
custom_headers = {"X-Test-Header": "testvalue"}
response = await ds.get_dashboard(dashboard_id, headers=custom_headers)

@pytest.mark.asyncio
async def test_get_dashboard_with_empty_headers():
"""Test passing empty headers dict."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
dashboard_id = "empty"
response = await ds.get_dashboard(dashboard_id, headers={})

@pytest.mark.asyncio
async def test_get_dashboard_basic_async_await_behavior():
"""Test that the function returns a coroutine and can be awaited."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
dashboard_id = "await"
codeflash_output = ds.get_dashboard(dashboard_id); coro = codeflash_output
response = await coro

2. Edge Test Cases

@pytest.mark.asyncio
async def test_get_dashboard_concurrent_execution():
"""Test concurrent execution of get_dashboard."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
ids = ["1", "2", "3", "4", "5"]
coros = [ds.get_dashboard(i) for i in ids]
results = await asyncio.gather(*coros)
for idx, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_get_dashboard_exception_on_missing_client():
"""Test exception is raised if HTTP client is not initialized."""
class BadClient:
def get_client(self):
return None
bad_client = BadClient()
with pytest.raises(ValueError, match="HTTP client is not initialized"):
JiraDataSource(bad_client)

@pytest.mark.asyncio
async def test_get_dashboard_exception_on_missing_get_base_url():
"""Test exception if HTTP client lacks get_base_url method."""
class NoBaseUrlClient:
pass
class Wrapper:
def get_client(self):
return NoBaseUrlClient()
wrapper = Wrapper()
with pytest.raises(ValueError, match="HTTP client does not have get_base_url method"):
JiraDataSource(wrapper)

@pytest.mark.asyncio
async def test_get_dashboard_exception_on_call_with_uninitialized_client():
"""Test exception if _client is None at call time."""
class DummyClient:
def get_client(self):
return None
ds = JiraDataSource.new(JiraDataSource)
ds._client = None
ds.base_url = "https://mockjira.com"
with pytest.raises(ValueError, match="HTTP client is not initialized"):
await ds.get_dashboard("fail")

@pytest.mark.asyncio
async def test_get_dashboard_id_edge_cases():
"""Test dashboard id edge cases: empty string, special chars, numeric string."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
# Empty string
response = await ds.get_dashboard("")
# Special chars
special_id = "!@#$%^&*()"
response = await ds.get_dashboard(special_id)
# Numeric string
numeric_id = "000123"
response = await ds.get_dashboard(numeric_id)

@pytest.mark.asyncio
async def test_get_dashboard_headers_edge_cases():
"""Test headers with non-string values and None."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
headers = {
"X-Int": 123,
"X-Bool": True,
"X-None": None,
"X-List": [1, 2, 3]
}
response = await ds.get_dashboard("edge", headers=headers)

3. Large Scale Test Cases

@pytest.mark.asyncio
async def test_get_dashboard_large_scale_concurrent():
"""Test get_dashboard with many concurrent calls (up to 100)."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
ids = [str(i) for i in range(100)]
coros = [ds.get_dashboard(i) for i in ids]
results = await asyncio.gather(*coros)
for idx, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_get_dashboard_large_scale_unique_ids():
"""Test get_dashboard with unique and duplicate dashboard IDs."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
ids = [f"id_{i}" for i in range(50)] + ["id_0", "id_1"]
coros = [ds.get_dashboard(i) for i in ids]
results = await asyncio.gather(*coros)
for idx, resp in enumerate(results):
pass

4. Throughput Test Cases

@pytest.mark.asyncio
async def test_get_dashboard_throughput_small_load():
"""Throughput test: small load of 10 concurrent requests."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
ids = [f"small_{i}" for i in range(10)]
coros = [ds.get_dashboard(i) for i in ids]
results = await asyncio.gather(*coros)
for idx, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_get_dashboard_throughput_medium_load():
"""Throughput test: medium load of 50 concurrent requests."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
ids = [f"medium_{i}" for i in range(50)]
coros = [ds.get_dashboard(i) for i in ids]
results = await asyncio.gather(*coros)
for idx, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_get_dashboard_throughput_high_load():
"""Throughput test: high load of 200 concurrent requests."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
ids = [f"high_{i}" for i in range(200)]
coros = [ds.get_dashboard(i) for i in ids]
results = await asyncio.gather(*coros)
for idx, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_get_dashboard_throughput_sustained_pattern():
"""Throughput test: sustained execution pattern (sequential then concurrent)."""
mock_client = MockJiraClient(MockHTTPClient())
ds = JiraDataSource(mock_client)
# Sequential calls
for i in range(5):
resp = await ds.get_dashboard(f"sustained_seq_{i}")
# Concurrent calls
ids = [f"sustained_conc_{i}" for i in range(20)]
coros = [ds.get_dashboard(i) for i in ids]
results = await asyncio.gather(*coros)
for idx, resp 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.

To edit these changes git checkout codeflash/optimize-JiraDataSource.get_dashboard-mhpfmdoh and push.