Commit Graph

4 Commits

Author SHA1 Message Date
William Valentin
7c7bc954ef feat: Migrate Street and Task models from MongoDB to CouchDB
- Replace Street model with CouchDB-based implementation
- Replace Task model with CouchDB-based implementation
- Update routes to use new model interfaces
- Handle geospatial queries with CouchDB design documents
- Maintain adoption functionality and middleware
- Use denormalized document structure with embedded data
- Update test files to work with new models
- Ensure API compatibility while using CouchDB underneath

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Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
2025-11-01 13:12:34 -07:00
William Valentin
2961107136 feat: implement comprehensive CouchDB service and migration utilities
- Add production-ready CouchDB service with connection management
- Implement design documents with views and Mango indexes
- Create CRUD operations with proper error handling
- Add specialized helper methods for all document types
- Include batch operations and conflict resolution
- Create comprehensive migration script from MongoDB to CouchDB
- Add test suite with graceful handling when CouchDB unavailable
- Include detailed documentation and usage guide
- Update environment configuration for CouchDB support
- Follow existing code patterns and conventions

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2025-11-01 13:05:18 -07:00
William Valentin
e74de09605 feat: design comprehensive CouchDB document structure
- Add detailed CouchDB design document with denormalization strategy
- Create migration script for MongoDB to CouchDB transition
- Implement CouchDB service layer with all CRUD operations
- Add query examples showing performance improvements
- Design supports embedded data for better read performance
- Include Mango indexing strategy for optimal query patterns
- Provide data consistency and migration strategies

This design prioritizes read performance and user experience for the
social community nature of the Adopt-a-Street application.

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Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
2025-11-01 12:57:49 -07:00
William Valentin
e7396c10d6 feat(backend): implement complete gamification system
Implement comprehensive points and badges system with MongoDB transactions:

Point System:
- Create PointTransaction model for transaction history
- Award points atomically using MongoDB transactions
- Point values: street adoption (+100), task completion (+50), post creation (+10), event participation (+75)
- Track balance after each transaction
- Support point deduction for reward redemption

Badge System:
- Create Badge and UserBadge models
- Define badge criteria types: street_adoptions, task_completions, post_creations, event_participations, points_earned
- Auto-award badges based on user achievements
- Badge rarity levels: common, rare, epic, legendary
- Track badge progress for users
- Prevent duplicate badge awards

Gamification Service:
- Implement gamificationService.js with 390 lines of logic
- awardPoints() with transaction support
- checkAndAwardBadges() for auto-awarding
- getUserBadgeProgress() for progress tracking
- getUserStats() for achievement statistics
- Atomic operations prevent double-awarding

Integration:
- Streets route: Award points and badges on adoption
- Tasks route: Award points and badges on completion
- Posts route: Award points and badges on creation
- Events route: Award points and badges on RSVP
- Rewards route: Deduct points on redemption
- Badges API: List badges, track progress, view earned badges

Updated User Model:
- Add points field (default 0)
- Add earnedBadges virtual relationship
- Add indexes for performance (points for leaderboards)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-01 10:42:51 -07:00