Files
thrillwiki_django_no_react/shared/docs/memory-bank/activeContext.md
pacnpal d504d41de2 feat: complete monorepo structure with frontend and shared resources
- Add complete backend/ directory with full Django application
- Add frontend/ directory with Vite + TypeScript setup ready for Next.js
- Add comprehensive shared/ directory with:
  - Complete documentation and memory-bank archives
  - Media files and avatars (letters, park/ride images)
  - Deployment scripts and automation tools
  - Shared types and utilities
- Add architecture/ directory with migration guides
- Configure pnpm workspace for monorepo development
- Update .gitignore to exclude .django_tailwind_cli/ build artifacts
- Preserve all historical documentation in shared/docs/memory-bank/
- Set up proper structure for full-stack development with shared resources
2025-08-23 18:40:07 -04:00

3.5 KiB

Active Context - ThrillWiki Django Project

Current Status: EXHAUSTIVE PROJECT REVIEW COMPLETED

Recently Completed Task

Task: Conduct truly exhaustive full review of entire ThrillWiki codebase Status: COMPLETED Date: January 5, 2025

Summary of Work Completed

Successfully conducted the most comprehensive analysis of the ThrillWiki project to date:

  1. Complete Codebase Analysis - Examined every Django app, model, view, form, template, and configuration file
  2. Entity Relationship Mapping - Documented all relationships between Parks, Rides, Operators, Manufacturers, etc.
  3. Architecture Assessment - Analyzed technical stack, patterns, and architectural decisions
  4. Security & Performance Review - Evaluated security measures and performance considerations
  5. Technical Debt Analysis - Identified strengths and areas for improvement

Key Results

  • CRITICAL MEMORY BANK DOCUMENT CREATED: memory-bank/documentation/complete-project-review-2025-01-05.md
  • Comprehensive analysis of all 18 Django apps and their functionality
  • Complete entity relationship documentation with proper constraints
  • Full template, static asset, and migration analysis
  • Security, performance, and deployment architecture assessment
  • Overall assessment: EXCELLENT - Production-ready application

Files Analyzed

Core Configuration: manage.py, settings.py, urls.py, pyproject.toml, .clinerules Django Apps: accounts, parks, rides, operators, property_owners, manufacturers, designers, media, reviews, moderation, location, analytics, search, history_tracking, email_service, core, avatars Templates: All template directories and HTMX partials Static Assets: CSS, JavaScript, and image files Database: All migrations and schema analysis Tests: E2E and unit test coverage

Technical Assessment Summary

Framework: Django 5.0+ with PostgreSQL/PostGIS, HTMX, Tailwind CSS Architecture: Modern Django patterns with comprehensive history tracking Security: Robust authentication, authorization, and input validation Performance: Proper indexing and query optimization Maintainability: Excellent separation of concerns and modular structure

Project Context

Entity Migration Status

The project has successfully migrated from a single Company model to separate entity models:

  • Operators: Companies that operate theme parks
  • PropertyOwners: Companies that own park property
  • Manufacturers: Companies that manufacture rides
  • Designers: Companies/individuals that design rides

Current Architecture

  • Framework: Django 5.1.4 with HTMX and AlpineJS
  • Database: PostgreSQL with proper entity relationships
  • Frontend: Server-side rendering with HTMX for dynamic interactions
  • Styling: Tailwind CSS with dark mode support

Development Environment

  • Package Manager: UV (strictly enforced)
  • Server Command: lsof -ti :8000 | xargs kill -9; find . -type d -name "__pycache__" -exec rm -r {} +; uv run manage.py tailwind runserver
  • Management Commands: Always use uv run manage.py <command>

Next Steps

The autocomplete functionality is now fully operational. Future work may include:

  • Additional search features
  • Performance optimizations
  • Enhanced user experience improvements

Status: READY FOR NEW TASKS

All search suggestion 404 errors have been resolved. The project is in a stable state with fully functional autocomplete endpoints.