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
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pacnpal
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# 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`](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.