Closed sweep-ai[bot] closed 9 months ago
src/success_metrics/collectUserFeedback.py
✓
Check src/success_metrics/collectUserFeedback.py with contents:
Ran GitHub Actions for 9ab74e4d2919262356f5107ed6392e2216f9c27b:
src/success_metrics/countBrandCollaborations.py
✓
Check src/success_metrics/countBrandCollaborations.py with contents:
Ran GitHub Actions for 326ab13d568e6831b14abfff9c068eecf966f24a:
src/performance/handleUserLoad.py
✓
Check src/performance/handleUserLoad.py with contents:
Ran GitHub Actions for c8d0fc444f8e0f0a24d4ab700cbf9906d972943d:
PR Feedback (click)
Description
This pull request implements three changes:
src/performance/handleUserLoad.py
src/success_metrics/collectUserFeedback.py
src/success_metrics/countBrandCollaborations.py
Summary
handle_user_load()
function insrc/performance/handleUserLoad.py
to handle user load based on current load and threshold.handle_user_load()
function with simulated high, low, and normal loads.collect_user_feedback()
function insrc/success_metrics/collectUserFeedback.py
to parse and store user feedback data.collect_user_feedback()
function.count_brand_collaborations()
function insrc/success_metrics/countBrandCollaborations.py
to count and report the number of brand collaborations.count_brand_collaborations()
function.Fixes #8.
🎉 Latest improvements to Sweep:
rope
library to refactor Python! Check out Large Language Models are Bad at Refactoring Code. To have Sweep refactor your code, trysweep: Refactor <your_file>.py
!💡 To get Sweep to edit this pull request, you can: