pass-culture/pass-culture-main
Oct 2024 – Oct 2024
1 Month active
Languages Used
Python
Technical Skills
API DevelopmentBackend DevelopmentDatabase QueryingSQLAlchemyTesting
Lixxday
PROFILE
Lixxday
Worked on the pass-culture-main repository to refactor event stock notification logic, updating the filtering mechanism to use the offerer’s postal code instead of the venue’s. This change addressed the need for more accurate user booking notifications. Introduced a feature toggle to allow seamless switching between the old and new behaviors, supporting controlled rollout and experimentation. Developed comprehensive tests to ensure correct filtering and toggle functionality, maintaining traceability through detailed commit documentation. The work involved backend development and API enhancements using Python, SQLAlchemy, and database querying, demonstrating a methodical approach to feature delivery and validation within a collaborative codebase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
92
Activity Months1
Your Network
31 peopleWork History
October 2024
1 Commits • 1 Features
Oct 1, 20242024-10 Monthly Summary: Refined event stock notifications to use the offerer's postal code, replacing the venue postal code in the filtering logic. Introduced a feature toggle to control between the old and new behavior, enabling safe rollout and experimentation. Implemented testing to verify correct filtering and toggle behavior, and maintained traceability with the related commit.
1 Commits • 1 Features
Oct 1, 20242024-10 Monthly Summary: Refined event stock notifications to use the offerer's postal code, replacing the venue postal code in the filtering logic. Introduced a feature toggle to control between the old and new behavior, enabling safe rollout and experimentation. Implemented testing to verify correct filtering and toggle behavior, and maintained traceability with the related commit.
October 2024
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
API DevelopmentBackend DevelopmentDatabase QueryingSQLAlchemyTesting
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