⚡️ Speed up function sanitize_filename by 11% in PR #10819 (s3-file-size-and-associations-to-flows)#10823
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The optimized code achieves a **10% speedup** through two key optimizations that reduce the most expensive operations in the function: **Primary Optimization - Precompiled Regex Pattern:** The regex pattern `r"[^\w.\- ()]"` is now precompiled as a module-level constant `_DANGEROUS_CHARS_RE`. The line profiler shows this dramatically reduces the regex substitution time from 1.87ms (23.8% of runtime) to 0.54ms (8.7% of runtime) - a **71% reduction** in this operation's cost. Regex compilation is expensive, and since this function processes filenames repeatedly, precompiling eliminates redundant pattern compilation overhead. **Secondary Optimization - PurePath vs Path:** Replacing `Path(filename).name` with `PurePath(filename).name` provides a modest improvement. `PurePath` is a lightweight path manipulation class that doesn't perform filesystem operations or validation checks that `Path` does, making it faster for pure string manipulation tasks like extracting the filename component. **Performance Impact Analysis:** Based on the test cases, these optimizations are particularly effective for: - **High-frequency filename processing** - The precompiled regex saves compilation overhead on every call - **Large-scale operations** - Tests show consistent benefits across various filename lengths and character types - **Mixed content scenarios** - Both simple filenames and complex cases with dangerous characters benefit from the regex optimization The optimizations maintain identical security and functionality while reducing computational overhead, making this especially valuable if the function is called frequently in file upload or processing workflows.
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## s3-file-size-and-associations-to-flows #10823 +/- ##
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⚡️ This pull request contains optimizations for PR #10819
If you approve this dependent PR, these changes will be merged into the original PR branch
s3-file-size-and-associations-to-flows.📄 11% (0.11x) speedup for
sanitize_filenameinsrc/backend/base/langflow/api/v2/files.py⏱️ Runtime :
1.69 milliseconds→1.52 milliseconds(best of102runs)📝 Explanation and details
The optimized code achieves a 10% speedup through two key optimizations that reduce the most expensive operations in the function:
Primary Optimization - Precompiled Regex Pattern:
The regex pattern
r"[^\w.\- ()]"is now precompiled as a module-level constant_DANGEROUS_CHARS_RE. The line profiler shows this dramatically reduces the regex substitution time from 1.87ms (23.8% of runtime) to 0.54ms (8.7% of runtime) - a 71% reduction in this operation's cost. Regex compilation is expensive, and since this function processes filenames repeatedly, precompiling eliminates redundant pattern compilation overhead.Secondary Optimization - PurePath vs Path:
Replacing
Path(filename).namewithPurePath(filename).nameprovides a modest improvement.PurePathis a lightweight path manipulation class that doesn't perform filesystem operations or validation checks thatPathdoes, making it faster for pure string manipulation tasks like extracting the filename component.Performance Impact Analysis:
Based on the test cases, these optimizations are particularly effective for:
The optimizations maintain identical security and functionality while reducing computational overhead, making this especially valuable if the function is called frequently in file upload or processing workflows.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-pr10819-2025-12-01T20.19.10and push.