# Production Service

Production planning and batch management service for the bakery management system.

## Overview

The Production Service handles all production-related operations including:

- **Production Planning**: Calculate daily requirements using demand forecasts and inventory levels
- **Batch Management**: Track production batches from start to finish  
- **Capacity Management**: Equipment, staff, and time scheduling
- **Quality Control**: Yield tracking, waste management, efficiency metrics
- **Alert System**: Comprehensive monitoring and notifications

## Features

### Core Capabilities
- Daily production requirements calculation
- Production batch lifecycle management
- Real-time capacity planning and utilization
- Quality control tracking and metrics
- Comprehensive alert system with multiple severity levels
- Integration with inventory, orders, recipes, and sales services

### API Endpoints

#### Dashboard & Planning
- `GET /api/v1/tenants/{tenant_id}/production/dashboard-summary` - Production dashboard data
- `GET /api/v1/tenants/{tenant_id}/production/daily-requirements` - Daily production planning
- `GET /api/v1/tenants/{tenant_id}/production/requirements` - Requirements for procurement

#### Batch Management
- `POST /api/v1/tenants/{tenant_id}/production/batches` - Create production batch
- `GET /api/v1/tenants/{tenant_id}/production/batches/active` - Get active batches
- `GET /api/v1/tenants/{tenant_id}/production/batches/{batch_id}` - Get batch details
- `PUT /api/v1/tenants/{tenant_id}/production/batches/{batch_id}/status` - Update batch status

#### Scheduling & Capacity
- `GET /api/v1/tenants/{tenant_id}/production/schedule` - Production schedule
- `GET /api/v1/tenants/{tenant_id}/production/capacity/status` - Capacity status

#### Alerts & Monitoring
- `GET /api/v1/tenants/{tenant_id}/production/alerts` - Production alerts
- `POST /api/v1/tenants/{tenant_id}/production/alerts/{alert_id}/acknowledge` - Acknowledge alerts

#### Analytics
- `GET /api/v1/tenants/{tenant_id}/production/metrics/yield` - Yield metrics

## Service Integration

### Shared Clients Used
- **InventoryServiceClient**: Stock levels, ingredient availability
- **OrdersServiceClient**: Demand requirements, customer orders
- **RecipesServiceClient**: Recipe requirements, ingredient calculations
- **SalesServiceClient**: Historical sales data
- **NotificationServiceClient**: Alert notifications

### Authentication
Uses shared authentication patterns with tenant isolation:
- JWT token validation
- Tenant access verification
- User permission checks

## Configuration

Key configuration options in `app/core/config.py`:

### Production Planning
- `PLANNING_HORIZON_DAYS`: Days ahead for planning (default: 7)
- `PRODUCTION_BUFFER_PERCENTAGE`: Safety buffer for production (default: 10%)
- `MINIMUM_BATCH_SIZE`: Minimum batch size (default: 1.0)
- `MAXIMUM_BATCH_SIZE`: Maximum batch size (default: 100.0)

### Capacity Management
- `DEFAULT_WORKING_HOURS_PER_DAY`: Standard working hours (default: 12)
- `MAX_OVERTIME_HOURS`: Maximum overtime allowed (default: 4)
- `CAPACITY_UTILIZATION_TARGET`: Target utilization (default: 85%)

### Quality Control
- `MINIMUM_YIELD_PERCENTAGE`: Minimum acceptable yield (default: 85%)
- `QUALITY_SCORE_THRESHOLD`: Minimum quality score (default: 8.0)

### Alert Thresholds
- `CAPACITY_EXCEEDED_THRESHOLD`: Capacity alert threshold (default: 100%)
- `PRODUCTION_DELAY_THRESHOLD_MINUTES`: Delay alert threshold (default: 60)
- `LOW_YIELD_ALERT_THRESHOLD`: Low yield alert (default: 80%)

## Database Models

### ProductionBatch
- Complete batch tracking from planning to completion
- Status management (pending, in_progress, completed, etc.)
- Cost tracking and yield calculations
- Quality metrics integration

### ProductionSchedule
- Daily production scheduling
- Capacity planning and tracking
- Staff and equipment assignments
- Performance metrics

### ProductionCapacity
- Resource availability tracking
- Equipment and staff capacity
- Maintenance scheduling
- Utilization monitoring

### QualityCheck
- Quality control measurements
- Pass/fail tracking
- Defect recording
- Corrective action management

### ProductionAlert
- Comprehensive alert system
- Multiple severity levels
- Action recommendations
- Resolution tracking

## Alert System

### Alert Types
- **Capacity Exceeded**: When production requirements exceed available capacity
- **Production Delay**: When batches are delayed beyond thresholds
- **Cost Spike**: When production costs exceed normal ranges
- **Low Yield**: When yield percentages fall below targets
- **Quality Issues**: When quality scores consistently decline
- **Equipment Maintenance**: When equipment needs maintenance

### Severity Levels
- **Critical**: WhatsApp + Email + Dashboard + SMS
- **High**: WhatsApp + Email + Dashboard
- **Medium**: Email + Dashboard
- **Low**: Dashboard only

## Development

### Setup
```bash
# Install dependencies
pip install -r requirements.txt

# Set up database
# Configure DATABASE_URL environment variable

# Run migrations
alembic upgrade head

# Start service
uvicorn app.main:app --reload
```

### Testing
```bash
# Run tests
pytest

# Run with coverage
pytest --cov=app
```

### Docker
```bash
# Build image
docker build -t production-service .

# Run container
docker run -p 8000:8000 production-service
```

## Deployment

The service is designed for containerized deployment with:
- Health checks at `/health`
- Structured logging
- Metrics collection
- Database migrations
- Service discovery integration

## Architecture

Follows Domain-Driven Microservices Architecture:
- Clean separation of concerns
- Repository pattern for data access
- Service layer for business logic
- API layer for external interface
- Shared infrastructure for cross-cutting concerns