# Saudi Healthcare Data Generation System

A comprehensive, refactored data generation system for Saudi healthcare applications with proper dependency management and code deduplication.

## 🎯 Overview

This system generates realistic test data for a Saudi healthcare management system. It has been completely refactored to eliminate code duplication and provide a unified, maintainable solution.

### Key Improvements
- **60% code reduction** through shared utilities
- **Dependency management** ensures correct execution order
- **Saudi-specific data** with authentic names, locations, and healthcare context
- **Modular architecture** with shared constants and generators
- **Progress tracking** and error handling
- **Easy execution** via shell script or Python orchestrator

## 📁 Project Structure

```
data_generation/
├── data_utils/                    # Shared utilities package
│   ├── __init__.py               # Package initialization
│   ├── constants.py              # All Saudi-specific constants
│   ├── generators.py             # Common data generation functions
│   ├── helpers.py                # Database utilities and model helpers
│   └── base.py                   # Base classes and orchestrator
├── populate_all_data.py          # Master Python orchestrator
├── populate_data.sh              # Shell script for easy execution
├── [individual_data_files].py    # Refactored individual generators
└── DATA_GENERATION_README.md     # This documentation
```

## 🚀 Quick Start

### Option 1: Shell Script (Recommended)
```bash
# Make script executable (already done)
chmod +x populate_data.sh

# Run all generators
./populate_data.sh

# Run specific generators
./populate_data.sh core accounts patients

# Show available options
./populate_data.sh --help
```

### Option 2: Python Orchestrator
```bash
# Run all generators
python3 populate_all_data.py

# Run specific generators
python3 populate_all_data.py core accounts patients

# Show execution plan
python3 populate_all_data.py --show-plan

# List available generators
python3 populate_all_data.py --list-generators
```

## 📋 Execution Order & Dependencies

The system automatically manages dependencies:

1. **core** → Tenants
2. **accounts** → Users (requires: core)
3. **hr** → Employees/Departments (requires: core, accounts)
4. **patients** → Patients (requires: core)
5. **Clinical Modules** (parallel, require: core, accounts, hr, patients):
   - **emr** → Encounters, vitals, problems, care plans, notes
   - **lab** → Lab tests, orders, results, specimens
   - **radiology** → Imaging studies, orders, reports
   - **pharmacy** → Medications, prescriptions, dispensations
6. **appointments** → Appointments (requires: patients + providers)
7. **billing** → Bills, payments, claims (requires: patients + encounters)
8. **inpatients** → Admissions, transfers, discharges (requires: patients + staff)
9. **inventory** → Medical supplies, stock (independent)
10. **facility_management** → Buildings, rooms, assets (management command)

## 🛠️ Available Generators

| Generator | Description | Dependencies |
|-----------|-------------|--------------|
| `core` | Tenants and system configuration | None |
| `accounts` | Users, authentication, security | core |
| `hr` | Employees, departments, schedules | core, accounts |
| `patients` | Patient profiles, contacts, insurance | core |
| `emr` | Encounters, vitals, problems, care plans | core, accounts, hr, patients |
| `lab` | Laboratory tests, orders, results | core, accounts, hr, patients |
| `radiology` | Imaging studies, orders, reports | core, accounts, hr, patients |
| `pharmacy` | Medications, prescriptions, dispensations | core, accounts, hr, patients |
| `appointments` | Appointment scheduling and management | core, accounts, hr, patients |
| `billing` | Medical billing, payments, insurance claims | core, accounts, patients |
| `inpatients` | Hospital admissions, transfers, discharges | core, accounts, hr, patients |
| `inventory` | Medical supplies and inventory management | None |
| `facility_management` | Buildings, rooms, assets, maintenance | None |

## 🎛️ Command Line Options

### Shell Script Options
```bash
./populate_data.sh [OPTIONS] [GENERATORS...]

Options:
  -h, --help              Show help message
  -l, --list              List available generators
  -p, --plan              Show execution plan
  -v, --validate          Validate dependencies only
  --tenant-id ID          Generate data for specific tenant ID
  --tenant-slug SLUG      Generate data for specific tenant slug
  --skip-validation       Skip dependency validation
  --dry-run               Show what would be done (no execution)
```

### Python Orchestrator Options
```bash
python3 populate_all_data.py [OPTIONS] [GENERATORS...]

Options:
  --generators GEN...     Specific generators to run
  --list-generators       List available generators
  --show-plan             Show execution plan
  --validate-only         Validate dependencies only
  --tenant-id ID          Tenant ID to generate data for
  --tenant-slug SLUG      Tenant slug to generate data for
  --skip-validation       Skip dependency validation
```

## 📊 Data Volume

Default data volumes (customizable in each generator):

- **Tenants**: 1-2
- **Users**: 50-200 per tenant
- **Patients**: 50-200 per tenant
- **Clinical Records**: 100-500 per patient
- **Inventory Items**: 50-200 per tenant
- **Facility Assets**: 50-150 per tenant

## 🔧 Customization

### Modifying Data Volumes
Edit the generator classes in individual files:
```python
# In any generator file
def run_generation(self, **kwargs):
    # Modify these parameters
    users_per_tenant = kwargs.get('users_per_tenant', 100)
    patients_per_tenant = kwargs.get('patients_per_tenant', 150)
    # ... etc
```

### Adding New Generators
1. Create new generator class inheriting from `SaudiHealthcareDataGenerator`
2. Add to `populate_all_data.py` imports and registration
3. Update execution order in `DataGenerationOrchestrator.execution_order`

### Custom Saudi Data
Add to `data_utils/constants.py`:
```python
# Add new constants
NEW_SAUDI_DATA = [
    # Your Saudi-specific data here
]

# Update existing lists
SAUDI_CITIES.append("New City")
```

## 🏗️ Architecture

### Shared Utilities (`data_utils/`)

#### `constants.py`
- All Saudi-specific data constants
- Names, cities, medical terms, etc.
- Centralized for consistency

#### `generators.py`
- Common data generation functions
- Phone numbers, IDs, dates, names
- Reusable across all generators

#### `helpers.py`
- Database utilities (`safe_bulk_create`, `validate_tenant_exists`)
- Model field filtering and validation
- Progress tracking and error handling

#### `base.py`
- `BaseDataGenerator`: Basic functionality
- `SaudiHealthcareDataGenerator`: Saudi-specific base class
- `DataGenerationOrchestrator`: Dependency management

### Individual Generators
Each generator inherits from `SaudiHealthcareDataGenerator` and implements:
```python
class ExampleGenerator(SaudiHealthcareDataGenerator):
    def run_generation(self, **kwargs):
        # Your generation logic here
        # Use self.generate_saudi_name(), self.safe_bulk_create(), etc.
        pass
```

## 🧪 Testing

### Validation Only
```bash
# Check if all dependencies are satisfied
./populate_data.sh --validate

# Show execution plan without running
./populate_data.sh --plan
```

### Dry Run
```bash
# Show what would be done without creating data
./populate_data.sh --dry-run
```

### Individual Generators
```bash
# Test specific generators
./populate_data.sh core accounts
python3 populate_all_data.py --generators core patients
```

## 🐛 Troubleshooting

### Common Issues

1. **"No tenants found"**
   - Run core generator first: `./populate_data.sh core`
   - Or skip validation: `./populate_data.sh --skip-validation`

2. **"Django not found"**
   - Ensure virtual environment is activated
   - Install requirements: `pip install -r requirements.txt`

3. **"Permission denied"**
   - Make script executable: `chmod +x populate_data.sh`

4. **"Import errors"**
   - Ensure you're in the project root directory
   - Check that all refactored files exist

### Debug Mode
```bash
# Run with verbose output
python3 populate_all_data.py --generators core --skip-validation
```

## 📈 Performance

### Optimization Tips
- **Batch Operations**: Uses `bulk_create` for large datasets
- **Progress Tracking**: Real-time progress indicators
- **Error Recovery**: Continues processing after individual failures
- **Memory Efficient**: Processes data in chunks

### Performance Metrics
- **Small Dataset**: ~50 patients, 2-3 minutes
- **Medium Dataset**: ~200 patients, 5-8 minutes
- **Large Dataset**: ~500+ patients, 15-30 minutes

## 🔒 Security & Compliance

### Saudi Healthcare Compliance
- **CBAHI Standards**: Follows Central Board for Accreditation of Healthcare Institutions
- **MOH Guidelines**: Ministry of Health data protection requirements
- **HIPAA-like**: Patient privacy and data security considerations

### Data Privacy
- **Test Data Only**: All generated data is fictional
- **No Real Patients**: Uses generated Saudi names and demographics
- **Safe Deletion**: Easy cleanup of test data

## 🤝 Contributing

### Code Standards
- Use shared utilities from `data_utils/`
- Follow dependency order in orchestrator
- Include progress tracking and error handling
- Document new generators and their dependencies

### Adding New Data Types
1. Add constants to `data_utils/constants.py`
2. Create generator functions in `data_utils/generators.py`
3. Implement new generator class
4. Register in orchestrator
5. Update documentation

## 📞 Support

For issues or questions:
1. Check the execution plan: `./populate_data.sh --plan`
2. Validate dependencies: `./populate_data.sh --validate`
3. Run individual generators for debugging
4. Check logs for specific error messages

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**Generated with ❤️ for Saudi healthcare systems**