Revert "update"

This reverts commit 75cc618c2b.

apps/api/management/commands/README.md

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-# ThrillWiki Data Seeding Script
-
-## Overview
-
-The `seed_data.py` management command provides comprehensive test data seeding for the ThrillWiki application. It creates realistic data across all models in the system for testing and development purposes.
-
-## Usage
-
-### Basic Usage
-```bash
-# Seed with default counts
-uv run manage.py seed_data
-
-# Clear existing data and seed fresh
-uv run manage.py seed_data --clear
-
-# Custom counts
-uv run manage.py seed_data --users 50 --parks 20 --rides 100 --reviews 200
-```
-
-### Command Options
-
-- `--clear`: Clear existing data before seeding
-- `--users N`: Number of users to create (default: 25)
-- `--companies N`: Number of companies to create (default: 15)
-- `--parks N`: Number of parks to create (default: 10)
-- `--rides N`: Number of rides to create (default: 50)
-- `--ride-models N`: Number of ride models to create (default: 20)
-- `--reviews N`: Number of reviews to create (default: 100)
-
-## What Gets Created
-
-### Users & Accounts
-- **Admin User**: `admin` / `admin123` (superuser)
-- **Moderator User**: `moderator` / `mod123` (staff)
-- **Regular Users**: Random realistic users with profiles
-- **User Profiles**: Complete with ride credits, social links, preferences
-- **Notifications**: Sample notifications for users
-- **Top Lists**: User-created top lists for parks and rides
-
-### Companies
-- **Park Operators**: Disney, Universal, Six Flags, Cedar Fair, etc.
-- **Ride Manufacturers**: B&M, Intamin, Vekoma, RMC, etc.
-- **Ride Designers**: Werner Stengel, Alan Schilke, John Wardley
-- **Company Headquarters**: Realistic address data
-
-### Parks & Locations
-- **Famous Parks**: Magic Kingdom, Disneyland, Cedar Point, etc.
-- **Park Locations**: Geographic coordinates and addresses
-- **Park Areas**: Themed areas within parks
-- **Park Photos**: Sample photo records
-
-### Rides & Models
-- **Famous Coasters**: Steel Vengeance, Millennium Force, etc.
-- **Ride Models**: B&M Dive Coaster, Intamin Accelerator, etc.
-- **Roller Coaster Stats**: Height, speed, inversions, etc.
-- **Ride Photos**: Sample photo records
-- **Technical Specs**: Detailed specifications for ride models
-
-### Content & Reviews
-- **Park Reviews**: User reviews with ratings and visit dates
-- **Ride Reviews**: Detailed ride experiences
-- **Review Content**: Realistic review text and ratings
-
-## Data Quality Features
-
-### Realistic Data
-- **Names**: Diverse, realistic user names
-- **Locations**: Accurate geographic coordinates
-- **Relationships**: Proper company-park-ride relationships
-- **Statistics**: Realistic ride statistics and ratings
-
-### Comprehensive Coverage
-- **All Models**: Seeds data for every model in the system
-- **Relationships**: Maintains proper foreign key relationships
-- **Optional Models**: Handles models that may not exist gracefully
-
-### Data Integrity
-- **Unique Constraints**: Uses `get_or_create` to avoid duplicates
-- **Validation**: Respects model constraints and validation rules
-- **Dependencies**: Creates data in proper dependency order
-
-## Technical Implementation
-
-### Architecture
-- **Modular Design**: Separate methods for each model type
-- **Transaction Safety**: All operations wrapped in database transaction
-- **Error Handling**: Graceful handling of missing optional models
-- **Progress Reporting**: Clear console output with emojis and counts
-
-### Model Handling
-- **Dual Company Models**: Properly handles separate Park and Ride company models
-- **Optional Models**: Checks for existence before using optional models
-- **Type Safety**: Proper type hints and error handling
-
-### Data Generation
-- **Random but Realistic**: Uses curated lists for realistic data
-- **Configurable Counts**: All counts are configurable via command line
-- **Relationship Integrity**: Maintains proper relationships between models
-
-## Troubleshooting
-
-### Common Issues
-
-1. **Database Schema Mismatch**: If you see timezone constraint errors, run migrations first:
-   ```bash
-   uv run manage.py migrate
-   ```
-
-2. **Permission Errors**: Ensure database user has proper permissions for all operations
-
-3. **Memory Issues**: For large datasets, consider running with smaller batches
-
-### Known Limitations
-
-- **Database Schema Compatibility**: May encounter issues with database schemas that have additional required fields not present in the current models (e.g., timezone field)
-- **pghistory Compatibility**: May have issues with some pghistory configurations
-- **Cloudflare Images**: Creates placeholder records without actual images
-- **Geographic Data**: Requires PostGIS for location features
-- **Transaction Management**: Uses atomic transactions which may fail completely if any model creation fails
-
-## Development Notes
-
-### Adding New Models
-1. Import the model at the top of the file
-2. Add to `models_to_clear` list if needed
-3. Create a new `create_*` method
-4. Call the method in `handle()` in proper dependency order
-5. Add count to `print_summary()`
-
-### Customizing Data
-- Modify the data lists (e.g., `first_names`, `famous_parks`) to customize generated data
-- Adjust probability weights for different scenarios
-- Add new relationship patterns as needed
-
-## Performance
-
-### Optimization Tips
-- Use `--clear` sparingly in production-like environments
-- Consider smaller batch sizes for very large datasets
-- Monitor database performance during seeding
-
-### Typical Performance
-- 25 users, 15 companies, 10 parks, 50 rides: ~30 seconds
-- 100 users, 50 companies, 25 parks, 200 rides: ~2-3 minutes
-
-## Security Notes
-
-- **Default Passwords**: All seeded users have simple passwords for development only
-- **Admin Access**: Creates admin user with known credentials
-- **Production Warning**: Never run with `--clear` in production environments
-
-## Future Enhancements
-
-- **Bulk Operations**: Use bulk_create for better performance
-- **Custom Scenarios**: Add preset scenarios (small, medium, large)
-- **Data Export**: Add ability to export seeded data
-- **Incremental Updates**: Support for updating existing data