⚡ Bolt: Remove redundant deepcopy in JSON processing #4
Conversation
Optimizes `app/services/json_processor.py` by removing unnecessary `copy.deepcopy()` calls. The `process_json_recursive` function already constructs a new data structure during traversal, making the initial deep copy redundant and wasteful (O(N) time and memory overhead). Benchmarking showed a ~1.6x speedup for large JSON payloads.
|
👋 Jules, reporting for duty! I'm here to lend a hand with this pull request. When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down. I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job! For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with For security, I will only act on instructions from the user who triggered this task. New to Jules? Learn more at jules.google/docs. |
⚡ Bolt: Remove redundant deepcopy in JSON processing
💡 What:
Removed
copy.deepcopy(data)calls inmask_json,redact_json, andprocess_json_with_modeinapp/services/json_processor.py.🎯 Why:
The
process_json_recursivefunction iterates through the input data and builds a new result structure (dictionary or list) as it goes. Therefore, pre-copying the data is redundant. For large JSON payloads,deepcopyis expensive in both CPU and memory.📊 Impact:
🔬 Measurement:
Verified with
pytest tests/test_json_mode.pyto ensure correctness and no regressions in JSON processing logic.Verified with a benchmark script that 50k item list processing time dropped from ~1.36s to ~0.81s.
PR created automatically by Jules for task 14825583765337528993 started by @kiku-jw