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Add enums for ReviewStatus, TrackMaterial, LaunchType, RideCategory, and RollerCoasterType; implement Designer and RideModel models; create migrations for ride_models and helpful_votes tables; enhance RideGalleryComponent documentation
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memory-bank/features/RideReviews.md
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memory-bank/features/RideReviews.md
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# Ride Reviews Feature
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## Overview
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The ride reviews system allows users to rate and review rides, providing both numerical ratings and textual feedback. This feature maintains parity with the Django implementation's review system.
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## Database Schema
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### reviews Table
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- id (primary key)
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- ride_id (foreign key to rides)
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- user_id (foreign key to users)
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- rating (integer, 1-5)
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- title (string, optional)
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- content (text)
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- created_at (timestamp)
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- updated_at (timestamp)
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- moderated_at (timestamp, nullable)
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- moderated_by (foreign key to users, nullable)
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- status (enum: pending, approved, rejected)
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### helpful_votes Table
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- id (primary key)
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- review_id (foreign key to reviews)
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- user_id (foreign key to users)
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- created_at (timestamp)
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## Components to Implement
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### RideReviewComponent
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- Display review form
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- Handle review submission
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- Validate input
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- Show success/error messages
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### RideReviewListComponent
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- Display reviews for a ride
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- Pagination support
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- Sorting options
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- Helpful vote functionality
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- Filter options (rating, date)
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### ReviewModerationComponent
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- Review queue for moderators
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- Approve/reject functionality
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- Edit capabilities
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- Status tracking
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## Features Required
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1. Review Creation
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- Rating input (1-5 stars)
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- Title field (optional)
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- Content field
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- Client & server validation
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- Anti-spam measures
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2. Review Display
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- List/grid view of reviews
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- Sorting by date/rating
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- Pagination
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- Rating statistics
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- Helpful vote system
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3. Moderation System
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- Review queue
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- Approval workflow
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- Edit capabilities
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- Status management
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- Moderation history
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4. User Features
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- One review per ride per user
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- Edit own reviews
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- Delete own reviews
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- Vote on helpful reviews
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5. Statistics
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- Average rating calculation
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- Rating distribution
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- Review count tracking
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- Helpful vote tallying
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## Implementation Steps
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1. Database Setup
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- Create migrations
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- Define models
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- Set up relationships
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- Add indexes
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2. Models & Relations
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- Review model
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- HelpfulVote model
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- Relationships to Ride and User
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- Enum definitions
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3. Components
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- Review form component
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- Review list component
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- Moderation component
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- Statistics display
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4. Business Logic
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- Rating calculations
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- Permission checks
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- Validation rules
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- Anti-spam measures
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5. Testing
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- Unit tests
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- Feature tests
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- Integration tests
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- User flow testing
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## Security Considerations
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1. Authorization
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- User authentication required
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- Rate limiting
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- Moderation permissions
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- Edit/delete permissions
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2. Data Validation
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- Input sanitization
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- Rating range validation
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- Content length limits
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- Duplicate prevention
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3. Anti-Abuse
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- Rate limiting
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- Spam detection
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- Vote manipulation prevention
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- Multiple account detection
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