⚡️ Speed up method JiraDataSource.add_security_level_members by 19%

[codeflash-ai]

📄 19% (0.19x) speedup for JiraDataSource.add_security_level_members in backend/python/app/sources/external/jira/jira.py

⏱️ Runtime : 2.20 milliseconds → 1.85 milliseconds (best of 250 runs)

📝 Explanation and details

The optimized code achieves a 19% runtime improvement and 5.9% throughput improvement through several targeted micro-optimizations in the add_security_level_members method:

Key Optimizations Applied:

1. Eliminated unnecessary dict allocation: Replaced dict(headers or {}) with dict(headers or ()), avoiding creation of an empty dict when headers is None, since dict() can work with any iterable.

2. Streamlined path parameter creation: Changed from explicit dict construction with separate key-value assignments to inline dict literal {'schemeId': schemeId, 'levelId': levelId}, reducing bytecode operations.

3. Removed unused variable allocation: Eliminated the _query: Dict[str, Any] = {} variable and directly passed an empty dict {} to query_params, avoiding unnecessary variable creation and assignment.

4. Reduced function calls to _as_str_dict: The line profiler shows _as_str_dict was called 1143 times in the original vs 762 times in optimized (33% reduction), indicating the elimination of the unused _query variable removed one unnecessary call per invocation.

Performance Impact Analysis:

The optimizations are particularly effective for high-frequency API scenarios. Looking at the annotated tests, the improvements benefit:

• Concurrent execution tests: Multiple async calls benefit from reduced per-call overhead
• Large-scale tests (100+ concurrent requests): The micro-optimizations compound when executed at scale
• Throughput tests: The 5.9% throughput improvement directly translates to handling more API requests per second

Why These Optimizations Work:

In Python, object allocation and dictionary operations are relatively expensive. By eliminating unnecessary dict creations and variable assignments, the code reduces memory allocation pressure and CPU cycles. The _as_str_dict function reduction is particularly impactful since it involves dictionary comprehension over request parameters - removing one call per request saves significant processing time when handling many API calls.

These optimizations maintain full API compatibility while providing measurable performance gains for JIRA API integration workflows.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 408 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	92.9%

🌀 Generated Regression Tests and Runtime

import asyncio # used to run async functions
from typing import Any, Dict, List, Optional

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

--- Minimal stubs for HTTPRequest/HTTPResponse and JiraClient 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, status_code=200):
self.data = data
self.status_code = status_code

class DummyAsyncClient:
"""A dummy async client to simulate HTTP client behavior."""
def init(self, base_url: str):
self._base_url = base_url
self.requests = []

def get_base_url(self):
    return self._base_url

async def execute(self, req: HTTPRequest):
    # Simulate a response that echoes back the request for verification
    self.requests.append(req)
    # For edge case testing, allow injecting error via special header
    if req.headers.get("X-Force-Error") == "1":
        raise RuntimeError("Simulated client error")
    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 DummyJiraClient:
"""A dummy JiraClient that returns the DummyAsyncClient."""
def init(self, base_url: str):
self._client = DummyAsyncClient(base_url)

def get_client(self):
    return self._client

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

---- Basic Test Cases ----

@pytest.mark.asyncio
async def test_add_security_level_members_basic():
"""Test basic functionality with minimal valid arguments."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
members = [{"type": "group", "parameter": "jira-users"}]
resp = await jira.add_security_level_members("123", "456", members)

@pytest.mark.asyncio
async def test_add_security_level_members_no_members():
"""Test with members=None (body should not include 'members' key)."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
resp = await jira.add_security_level_members("abc", "def")

@pytest.mark.asyncio
async def test_add_security_level_members_custom_headers():
"""Test that custom headers are merged and Content-Type is set."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
headers = {"X-Test-Header": "foo"}
resp = await jira.add_security_level_members("1", "2", headers=headers)

@pytest.mark.asyncio
async def test_add_security_level_members_overwrite_content_type():
"""Test that Content-Type header is not overwritten if provided."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
headers = {"Content-Type": "something/else"}
resp = await jira.add_security_level_members("1", "2", headers=headers)

---- Edge Test Cases ----

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

@pytest.mark.asyncio
async def test_add_security_level_members_missing_get_base_url():
"""Test that ValueError is raised if client has no get_base_url."""
class NoBaseUrlClient:
def get_client(self):
return object()
with pytest.raises(ValueError, match="HTTP client does not have get_base_url method"):
JiraDataSource(NoBaseUrlClient())

@pytest.mark.asyncio
async def test_add_security_level_members_empty_scheme_and_level():
"""Test with empty strings for schemeId and levelId."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
resp = await jira.add_security_level_members("", "")

@pytest.mark.asyncio
async def test_add_security_level_members_special_characters():
"""Test with special characters in schemeId and levelId."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
resp = await jira.add_security_level_members("!@#", "abc/def")

@pytest.mark.asyncio
async def test_add_security_level_members_force_client_error():
"""Test that client exceptions propagate from execute()."""
class ErrorClient(DummyAsyncClient):
async def execute(self, req):
raise RuntimeError("Simulated error")
class ErrorJiraClient:
def init(self):
self._client = ErrorClient("https://example.atlassian.net")
def get_client(self):
return self._client
jira = JiraDataSource(ErrorJiraClient())
with pytest.raises(RuntimeError, match="Simulated error"):
await jira.add_security_level_members("1", "2")

@pytest.mark.asyncio
async def test_add_security_level_members_concurrent_execution():
"""Test concurrent execution of multiple requests."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
members_list = [
[{"type": "group", "parameter": f"group-{i}"}] for i in range(5)
]
# Launch 5 concurrent calls with different members
results = await asyncio.gather(*[
jira.add_security_level_members(str(i), str(i + 1), members)
for i, members in enumerate(members_list)
])
# Each result should be correct and unique
for i, resp in enumerate(results):
pass

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

@pytest.mark.asyncio
async def test_add_security_level_members_large_members_list():
"""Test with a large list of members (hundreds)."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
members = [{"type": "group", "parameter": f"group-{i}"} for i in range(200)]
resp = await jira.add_security_level_members("big", "scale", members)

@pytest.mark.asyncio
async def test_add_security_level_members_many_concurrent():
"""Test with many concurrent calls to check async scalability."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
n = 50
tasks = [
jira.add_security_level_members(str(i), str(i + 100), [{"type": "user", "parameter": f"user-{i}"}])
for i in range(n)
]
results = await asyncio.gather(*tasks)
# Each result should correspond to its input
for i, resp in enumerate(results):
pass

---- Throughput Test Cases ----

@pytest.mark.asyncio
async def test_add_security_level_members_throughput_small_load():
"""Throughput: small load, multiple quick async calls."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
tasks = [
jira.add_security_level_members("s", str(i), [{"type": "user", "parameter": f"u{i}"}])
for i in range(5)
]
results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_add_security_level_members_throughput_medium_load():
"""Throughput: medium load, moderate number of async calls."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
tasks = [
jira.add_security_level_members("m", str(i), [{"type": "user", "parameter": f"u{i}"}])
for i in range(20)
]
results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_add_security_level_members_throughput_large_load():
"""Throughput: large load, stress test with many concurrent async calls."""
jira = JiraDataSource(DummyJiraClient("https://example.atlassian.net"))
num_calls = 100 # keep under 1000 as per instructions
tasks = [
jira.add_security_level_members("l", str(i), [{"type": "user", "parameter": f"u{i}"}])
for i in range(num_calls)
]
results = await asyncio.gather(*tasks)
# Check that all responses are unique by user
seen = set()
for r in results:
user = r.data["body"]["members"][0]["parameter"]
seen.add(user)

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 required classes ----

class HTTPResponse:
"""Stub for HTTPResponse, mimics a real HTTP response."""
def init(self, status_code=200, json_data=None, headers=None):
self.status_code = status_code
self._json_data = json_data or {}
self.headers = headers or {}

def json(self):
    return self._json_data

class HTTPRequest:
"""Stub for HTTPRequest, just records request data."""
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 DummyAsyncClient:
"""Stub for the actual HTTP client, mimics async execute()."""
def init(self, base_url='https://dummy.atlassian.net'):
self._base_url = base_url
self.executed_requests = []

def get_base_url(self):
    return self._base_url

async def execute(self, req):
    # Record the request for inspection
    self.executed_requests.append(req)
    # Simulate different responses based on input
    if req.path_params.get('schemeId') == 'fail':
        raise RuntimeError("Simulated client error")
    # Return a HTTPResponse with request data echoed for inspection
    return HTTPResponse(
        status_code=200,
        json_data={
            'url': req.url,
            'method': req.method,
            'headers': req.headers,
            'path_params': req.path_params,
            'query_params': req.query_params,
            'body': req.body,
        },
        headers=req.headers
    )

class DummyJiraClient:
"""Stub for JiraClient, returns DummyAsyncClient."""
def init(self, base_url='https://dummy.atlassian.net'):
self.client = DummyAsyncClient(base_url)

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_add_security_level_members_basic_success():
"""Test basic async execution and correct request construction."""
client = DummyJiraClient()
ds = JiraDataSource(client)
members = [{'type': 'user', 'parameter': 'testuser'}]
headers = {'X-Test-Header': 'test'}
# Await the async function
resp = await ds.add_security_level_members('123', '456', members=members, headers=headers)

@pytest.mark.asyncio
async def test_add_security_level_members_no_members():
"""Test with no members argument (should omit 'members' in body)."""
client = DummyJiraClient()
ds = JiraDataSource(client)
resp = await ds.add_security_level_members('abc', 'def')

@pytest.mark.asyncio
async def test_add_security_level_members_empty_members_list():
"""Test with empty members list (should include empty list in body)."""
client = DummyJiraClient()
ds = JiraDataSource(client)
resp = await ds.add_security_level_members('xyz', 'uvw', members=[])

2. Edge Test Cases

@pytest.mark.asyncio
async def test_add_security_level_members_invalid_client():
"""Test ValueError is raised if client returns 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_add_security_level_members_client_missing_base_url():
"""Test ValueError if client lacks get_base_url method."""
class NoBaseUrlClient:
pass
class BadJiraClient:
def get_client(self):
return NoBaseUrlClient()
with pytest.raises(ValueError, match='HTTP client does not have get_base_url method'):
JiraDataSource(BadJiraClient())

@pytest.mark.asyncio
async def test_add_security_level_members_concurrent_execution():
"""Test concurrent execution of multiple requests."""
client = DummyJiraClient()
ds = JiraDataSource(client)
members1 = [{'type': 'group', 'parameter': 'devs'}]
members2 = [{'type': 'user', 'parameter': 'alice'}]
# Run two requests concurrently
results = await asyncio.gather(
ds.add_security_level_members('1', 'a', members=members1),
ds.add_security_level_members('2', 'b', members=members2)
)
# URLs should differ by path params
urls = [r.json()['url'] for r in results]

@pytest.mark.asyncio

async def test_add_security_level_members_custom_headers_override():
"""Test that custom Content-Type header overrides default."""
client = DummyJiraClient()
ds = JiraDataSource(client)
headers = {'Content-Type': 'application/x-custom'}
resp = await ds.add_security_level_members('123', '456', headers=headers)

3. Large Scale Test Cases

@pytest.mark.asyncio
async def test_add_security_level_members_large_members_list():
"""Test with a large members list (up to 500 items)."""
client = DummyJiraClient()
ds = JiraDataSource(client)
members = [{'type': 'user', 'parameter': f'user{i}'} for i in range(500)]
resp = await ds.add_security_level_members('big', 'scale', members=members)

@pytest.mark.asyncio
async def test_add_security_level_members_many_concurrent_requests():
"""Test many concurrent requests (up to 50)."""
client = DummyJiraClient()
ds = JiraDataSource(client)
tasks = [
ds.add_security_level_members(str(i), str(i+1), members=[{'type': 'user', 'parameter': f'user{i}'}])
for i in range(50)
]
results = await asyncio.gather(*tasks)
# All URLs should be unique
urls = [r.json()['url'] for r in results]

4. Throughput Test Cases

@pytest.mark.asyncio
async def test_add_security_level_members_throughput_small_load():
"""Throughput: Test performance under small load (5 requests)."""
client = DummyJiraClient()
ds = JiraDataSource(client)
tasks = [
ds.add_security_level_members('t'+str(i), 'l'+str(i), members=[{'type': 'user', 'parameter': f'user{i}'}])
for i in range(5)
]
results = await asyncio.gather(*tasks)
# Each response should have correct member
for i, r in enumerate(results):
pass

@pytest.mark.asyncio
async def test_add_security_level_members_throughput_medium_load():
"""Throughput: Test performance under medium load (20 requests)."""
client = DummyJiraClient()
ds = JiraDataSource(client)
tasks = [
ds.add_security_level_members('mid'+str(i), 'lev'+str(i), members=[{'type': 'user', 'parameter': f'miduser{i}'}])
for i in range(20)
]
results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_add_security_level_members_throughput_large_load():
"""Throughput: Test performance under large load (100 requests)."""
client = DummyJiraClient()
ds = JiraDataSource(client)
tasks = [
ds.add_security_level_members('lg'+str(i), 'lv'+str(i), members=[{'type': 'user', 'parameter': f'lguser{i}'}])
for i in range(100)
]
results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_add_security_level_members_throughput_varied_load():
"""Throughput: Test with varied member list sizes per request."""
client = DummyJiraClient()
ds = JiraDataSource(client)
tasks = [
ds.add_security_level_members(
'v'+str(i), 'l'+str(i),
members=[{'type': 'user', 'parameter': f'user{j}'} for j in range(i)]
)
for i in range(10)
]
results = await asyncio.gather(*tasks)
for i, r 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.add_security_level_members-mhrxw1px and push.