⚡️ Speed up method JiraDataSource.remove_level by 8%

[codeflash-ai]

📄 8% (0.08x) speedup for JiraDataSource.remove_level in backend/python/app/sources/external/jira/jira.py

⏱️ Runtime : 1.56 milliseconds → 1.45 milliseconds (best of 33 runs)

📝 Explanation and details

The optimized code achieves an 8% runtime improvement and 3.1% throughput increase through several targeted optimizations:

1. Smart Dictionary Conversion (_as_str_dict):
The biggest performance gain comes from optimizing _as_str_dict, which was consuming 100% of its profiled time doing unnecessary conversions. The optimized version adds two fast paths:

• Empty dict check: Returns {} immediately for empty dictionaries (10.9% of function time)
• Type validation shortcut: For dictionaries where keys are already strings and values are strings/None, it skips expensive _serialize_value calls and just handles None conversion (48.6% of function time)

Only 0.4% of calls now go through the expensive conversion path versus 100% in the original.

2. URL Template Optimization (_safe_format_url):
Added a fast path that checks if the template contains placeholders ('{') before attempting formatting. This saves unnecessary format_map and exception handling overhead for static URLs.

3. Reduced Attribute Access:
Stored self._client in a local variable client to avoid repeated attribute lookups during the function execution.

4. Pre-conversion Strategy:
Moved _as_str_dict calls outside the HTTPRequest constructor to separate conversion from object creation, improving code clarity and potentially enabling future optimizations.

Performance Impact:
The line profiler shows the total time for _as_str_dict dropped from 2.67ms to 2.09ms (22% reduction), which directly contributes to the overall 8% speedup. These optimizations are particularly effective for workloads with:

• Many HTTP requests with empty or string-only headers/parameters (common case)
• Static URL templates without placeholders
• High-frequency API calls where small per-request savings compound significantly

The improvements maintain full behavioral compatibility while optimizing the most expensive operations identified in the profiling data.

✅ Correctness verification report:

Test	Status
⚙️ Existing Unit Tests	🔘 None Found
🌀 Generated Regression Tests	✅ 348 Passed
⏪ Replay Tests	🔘 None Found
🔎 Concolic Coverage Tests	🔘 None Found
📊 Tests Coverage	92.3%

🌀 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 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, status_code, content=None, reason=None):
self.status_code = status_code
self.content = content
self.reason = reason

def __eq__(self, other):
    if not isinstance(other, HTTPResponse):
        return False
    return (self.status_code == other.status_code and
            self.content == other.content and
            self.reason == other.reason)

class DummyHTTPClient:
"""A dummy async HTTP client to simulate HTTPClient behavior for testing."""
def init(self, base_url, expected_requests=None, fail_on_execute=False):
self._base_url = base_url
self.executed_requests = []
self.expected_requests = expected_requests or []
self.fail_on_execute = fail_on_execute

def get_base_url(self):
    return self._base_url

async def execute(self, request):
    if self.fail_on_execute:
        raise RuntimeError("Simulated client failure")
    self.executed_requests.append(request)
    # Simulate different responses based on URL or parameters
    # For test purposes, just echo back the URL and params
    return HTTPResponse(
        status_code=204 if "level" in request.url else 404,
        content={"url": request.url, "headers": request.headers, "query": request.query_params},
        reason="No Content" if "level" in request.url else "Not Found"
    )

class DummyJiraClient:
"""A dummy JiraClient that wraps DummyHTTPClient."""
def init(self, client):
self.client = 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_remove_level_basic_success():
"""Test basic successful removal of a level."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
resp = await ds.remove_level("123", "456")

@pytest.mark.asyncio
async def test_remove_level_with_replaceWith_and_headers():
"""Test remove_level with replaceWith and custom headers."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
resp = await ds.remove_level("abc", "def", replaceWith="zzz", headers={"X-Test": "yes"})

@pytest.mark.asyncio
async def test_remove_level_basic_async_behavior():
"""Test that remove_level must be awaited and returns a coroutine."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
codeflash_output = ds.remove_level("1", "2"); coro = codeflash_output
resp = await coro

2. EDGE TEST CASES

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

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

@pytest.mark.asyncio
async def test_remove_level_execute_raises_exception():
"""Test that exceptions in client.execute are propagated."""
dummy_client = DummyHTTPClient("https://jira.example.com", fail_on_execute=True)
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
with pytest.raises(RuntimeError, match="Simulated client failure"):
await ds.remove_level("X", "Y")

@pytest.mark.asyncio
async def test_remove_level_empty_strings_and_none_headers():
"""Test remove_level with empty strings and None headers."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
resp = await ds.remove_level("", "", replaceWith=None, headers=None)

@pytest.mark.asyncio
async def test_remove_level_concurrent_execution():
"""Test concurrent execution of remove_level."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
# Run several remove_level calls in parallel
tasks = [
ds.remove_level(str(i), str(i*10))
for i in range(5)
]
results = await asyncio.gather(*tasks)
for i, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_remove_level_special_characters_in_ids():
"""Test remove_level with special characters in schemeId/levelId."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
resp = await ds.remove_level("!@#", "$%^", replaceWith="&*()")

3. LARGE SCALE TEST CASES

@pytest.mark.asyncio
async def test_remove_level_large_scale_concurrent():
"""Test many concurrent remove_level calls (scalability)."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
n = 50 # keep under 1000 as per instructions
tasks = [
ds.remove_level(f"scheme{i}", f"level{i}", replaceWith=f"rep{i}")
for i in range(n)
]
results = await asyncio.gather(*tasks)
for i, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_remove_level_large_headers_and_query():
"""Test with large headers and query parameters."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
headers = {f"X-Header-{i}": f"val{i}" for i in range(100)}
resp = await ds.remove_level("big", "huge", replaceWith="massive", headers=headers)
# All headers should be present and stringified
for i in range(100):
pass

4. THROUGHPUT TEST CASES

@pytest.mark.asyncio
async def test_remove_level_throughput_small_load():
"""Throughput: test remove_level under small load."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
tasks = [ds.remove_level("A", str(i)) for i in range(10)]
results = await asyncio.gather(*tasks)

@pytest.mark.asyncio
async def test_remove_level_throughput_medium_load():
"""Throughput: test remove_level under medium load."""
dummy_client = DummyHTTPClient("https://jira.example.com")
jira_client = DummyJiraClient(dummy_client)
ds = JiraDataSource(jira_client)
tasks = [ds.remove_level("B", str(i), replaceWith="R") for i in range(50)]
results = await asyncio.gather(*tasks)

@pytest.mark.asyncio

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

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

--- Minimal stubs for dependencies to make tests deterministic and not rely on external systems ---

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, response_data):
self.data = response_data

def json(self):
    return self.data

class DummyHTTPClient:
"""Stub for HTTPClient with async execute method."""
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, request: HTTPRequest, **kwargs):
    # Simulate an HTTPResponse with the request data for test determinism
    self._requests.append(request)
    # Simulate simple response based on input
    resp = {
        "method": request.method,
        "url": request.url,
        "headers": request.headers,
        "path_params": request.path_params,
        "query_params": request.query_params,
        "body": request.body,
    }
    return HTTPResponse(resp)

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 -----------------

@pytest.mark.asyncio
async def test_remove_level_basic_success():
"""Test basic async/await behavior and correct request construction."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
response = await ds.remove_level("123", "456")

@pytest.mark.asyncio
async def test_remove_level_with_replaceWith_and_headers():
"""Test with optional replaceWith and custom headers."""
client = DummyHTTPClient(base_url="https://jira.example.com/")
ds = JiraDataSource(JiraClient(client))
response = await ds.remove_level("A", "B", replaceWith="C", headers={"X-Test": "true"})

@pytest.mark.asyncio

async def test_remove_level_missing_get_base_url_raises():
"""Test that ValueError is raised if client lacks get_base_url."""
class BadClient:
def get_base_url(self):
raise AttributeError("No base url")
# get_client returns BadClient, which raises AttributeError
with pytest.raises(ValueError, match="HTTP client does not have get_base_url method"):
JiraDataSource(JiraClient(BadClient()))

@pytest.mark.asyncio
async def test_remove_level_headers_and_path_query_types():
"""Test that headers, path, query params are always strings."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
# Use int/float/bool in headers and query params
response = await ds.remove_level("1", "2", replaceWith=123, headers={"X-Num": 42, "X-Bool": True})

@pytest.mark.asyncio
async def test_remove_level_concurrent_execution():
"""Test concurrent async execution with different parameters."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
tasks = [
ds.remove_level(str(i), str(i + 100), replaceWith=str(i + 200))
for i in range(5)
]
results = await asyncio.gather(*tasks)
for i, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_remove_level_edge_empty_strings():
"""Test with empty string schemeId and levelId."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
response = await ds.remove_level("", "")

@pytest.mark.asyncio
async def test_remove_level_edge_special_characters():
"""Test with special characters in schemeId and levelId."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
response = await ds.remove_level("!@#", "$%^", replaceWith="&*()")

@pytest.mark.asyncio
async def test_remove_level_edge_large_headers_and_query():
"""Test with large headers and query params."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
large_headers = {f"X-{i}": f"val{i}" for i in range(50)}
response = await ds.remove_level("big", "huge", replaceWith="massive", headers=large_headers)

@pytest.mark.asyncio
async def test_remove_level_large_scale_concurrent():
"""Test large scale concurrent execution (not exceeding 1000 elements)."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
n = 50 # Reasonable for test speed
tasks = [
ds.remove_level(f"id{i}", f"lvl{i}", replaceWith=f"rep{i}")
for i in range(n)
]
results = await asyncio.gather(*tasks)
for i, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_remove_level_throughput_small_load():
"""Throughput test: small load with rapid calls."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
tasks = [ds.remove_level("a", "b") for _ in range(10)]
results = await asyncio.gather(*tasks)
for resp in results:
pass

@pytest.mark.asyncio
async def test_remove_level_throughput_medium_load():
"""Throughput test: medium load, verify all responses."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
tasks = [ds.remove_level(str(i), str(i)) for i in range(30)]
results = await asyncio.gather(*tasks)
for i, resp in enumerate(results):
pass

@pytest.mark.asyncio
async def test_remove_level_throughput_large_load():
"""Throughput test: large load, verify all responses quickly and deterministically."""
client = DummyHTTPClient(base_url="https://jira.example.com")
ds = JiraDataSource(JiraClient(client))
tasks = [ds.remove_level(str(i), str(i+1), replaceWith=str(i+2)) for i in range(100)]
results = await asyncio.gather(*tasks)
for i, 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.remove_level-mhrwj0az and push.