⚡️ Speed up method JiraDataSource.delete_component by 30%
#446
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📄 30% (0.30x) speedup for
JiraDataSource.delete_componentinbackend/python/app/sources/external/jira/jira.py⏱️ Runtime :
3.57 milliseconds→2.75 milliseconds(best of229runs)📝 Explanation and details
The optimized code achieves a 29% runtime speedup and 16.2% throughput improvement through two key optimizations that target the main performance bottlenecks identified in the line profiler:
1. Eliminated Expensive URL Formatting
_safe_format_url(rel_path, _path)which callstemplate.format_map(_SafeDict(params))and catches exceptionsf"{self.base_url}{rel_path.format(id=id)}"_SafeDictconstruction and exception handling for this simple single-parameter case2. Short-Circuit Empty Dictionary Processing
_as_str_dictalways executed the dictionary comprehension regardless of input sizeif not d: return {}check to avoid comprehension for empty dictionaries_queryand_headersdictionaries, this prevents unnecessary iteration and_serialize_valuecallsPerformance Analysis:
The line profiler shows that
_as_str_dictcalls dropped from 2307 total hits processing all items to only 812 hits actually executing the comprehension, with 1495 calls short-circuiting on empty dictionaries. This optimization is particularly effective for this API endpoint where query parameters and custom headers are often absent.Test Case Performance:
The optimizations excel in scenarios with:
These optimizations target the exact hotspots identified in the profiler while maintaining identical functionality and error handling behavior.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-JiraDataSource.delete_component-mhp0etgcand push.