⚡️ Speed up method BookStackDataSource.delete_shelf by 7%
          #259
        
          
      
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📄 7% (0.07x) speedup for
BookStackDataSource.delete_shelfinbackend/python/app/sources/external/bookstack/bookstack.py⏱️ Runtime :
2.50 milliseconds→2.33 milliseconds(best of272runs)📝 Explanation and details
The optimized code achieves a 7% runtime improvement and 0.7% throughput improvement through three key micro-optimizations:
Key Optimizations:
Efficient Header Merging in HTTPClient: Replaced
{**self.headers, **request.headers}withself.headers.copy()followed byupdate(request.headers). This eliminates the overhead of dictionary unpacking and reconstruction, reducing memory allocation.Direct Header Reference in BookStackDataSource: Removed unnecessary
dict(self.http.headers)wrapper and directly passedself.http.headersto HTTPRequest. This eliminates redundant dictionary copying since the headers dict is stable and not mutated per request.Eliminated Unused Variable Allocation: Removed the unused
params: Dict[str, Union[str, int]] = {}variable and directly passed an empty dict{}toquery_params, avoiding unnecessary memory allocation.f-string URL Construction: Replaced
.format()method with f-string for URL construction, which is slightly more efficient in Python.Why These Optimizations Work:
.format()Best Performance Gains For:
Based on the test results, these optimizations are most effective for high-throughput scenarios with many concurrent requests (throughput tests with 50-200 operations), where the cumulative effect of reduced memory allocations and faster header processing becomes measurable. The improvements are consistent across both success and failure cases.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-BookStackDataSource.delete_shelf-mhbm9esnand push.