PeriodPals/periodpals
Nov 2024 – Dec 2024
2 Months active
Languages Used
JavaJetpack ComposeKotlinSQLXML
Technical Skills
API DevelopmentAPI IntegrationAndroid DevelopmentAndroid TestingAndroid developmentBackend Development
agonzalez-r
PROFILE
Agonzalez-r
Contributed to the PeriodPals/periodpals repository by building and refining a location-aware alerting system for Android, focusing on robust data modeling, UI integration, and workflow reliability. Developed features such as the AlertModel framework, radius-based alert queries, and acceptance workflows, leveraging Kotlin, Jetpack Compose, and Supabase for backend integration. Enhanced user experience with location filtering, filter dialogs, and floating action buttons, while maintaining code clarity through comprehensive documentation, refactoring, and consistent formatting. Prioritized maintainability and test coverage by implementing end-to-end, unit, and UI tests, resolving merge conflicts, and streamlining alert lifecycle management to support reliable, user-driven alert workflows.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
137Total
Bugs
25
Commits
137
Features
43
Lines of code
7,577
Activity Months2
Your Network
128 peopleShared Repositories
6
Work History
December 2024
63 Commits • 23 Features
Dec 1, 2024December 2024 monthly summary for PeriodPals/periodpals focusing on location-aware alerting, UX improvements, and reliability enhancements. Highlights include the LocationGIS integration into the Alert data model (data class, parsing, and DTO alignment) and tests updated for new types; introduction of radius-based alert queries with model methods and state management plus tests; UI/UX enhancements for location filtering via a FAB and FilterDialog, including actual filtering logic and a screen that shows all alerts by default with a filter indicator; a robust alert lifecycle workflow with UI for accepting/unaccepting alerts and a corresponding acceptedAlerts state (removing the decline action); extensive testing improvements including end-to-end tests, test tag fixes, and additional coverage for radius filtering and FAB behavior; and code quality/maintainability work (ktfmt formatting, refactors, merge-conflicts resolution, and documentation updates).
63 Commits • 23 Features
Dec 1, 2024December 2024 monthly summary for PeriodPals/periodpals focusing on location-aware alerting, UX improvements, and reliability enhancements. Highlights include the LocationGIS integration into the Alert data model (data class, parsing, and DTO alignment) and tests updated for new types; introduction of radius-based alert queries with model methods and state management plus tests; UI/UX enhancements for location filtering via a FAB and FilterDialog, including actual filtering logic and a screen that shows all alerts by default with a filter indicator; a robust alert lifecycle workflow with UI for accepting/unaccepting alerts and a corresponding acceptedAlerts state (removing the decline action); extensive testing improvements including end-to-end tests, test tag fixes, and additional coverage for radius filtering and FAB behavior; and code quality/maintainability work (ktfmt formatting, refactors, merge-conflicts resolution, and documentation updates).
December 2024
November 2024
74 Commits • 20 Features
Nov 1, 2024November 2024 focused on stabilizing the alert domain, strengthening data modeling, and advancing UI integration in PeriodPals. Delivered a robust AlertModel framework, stabilized API surfaces and tests, expanded alert retrieval capabilities, and raised code quality and documentation to improve maintainability and future velocity. These efforts reduce bug surface, accelerate feature delivery, and empower reliable alert-driven workflows for users and partners.
November 2024
74 Commits • 20 Features
Nov 1, 2024November 2024 focused on stabilizing the alert domain, strengthening data modeling, and advancing UI integration in PeriodPals. Delivered a robust AlertModel framework, stabilized API surfaces and tests, expanded alert retrieval capabilities, and raised code quality and documentation to improve maintainability and future velocity. These efforts reduce bug surface, accelerate feature delivery, and empower reliable alert-driven workflows for users and partners.
Activity
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Quality Metrics
Correctness89.6%
Maintainability90.8%
Architecture85.2%
Performance83.2%
AI Usage20.4%
Skills & Technologies
Programming Languages
JavaJetpack ComposeKotlinSQLXML
Technical Skills
API DevelopmentAPI IntegrationAndroid DevelopmentAndroid TestingAndroid developmentBackend DevelopmentBackend IntegrationBackend Integration TestingBackend TestingCode ClarityCode CleanupCode CommentingCode DocumentationCode FormattingCode Maintenance
Repositories Contributed To
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