hospital-management/DATA_GENERATION_README.md
Marwan Alwali ab2c4a36c5 update
2025-10-02 10:13:03 +03:00

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# 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
---
**Generated with ❤️ for Saudi healthcare systems**