---
tags:
- ml-intern
---
# SmartClass Deployment & Operations

Complete infrastructure for the SmartClass face-recognition attendance system.

## Architecture

```
┌─────────────────────────────────────────────────────────────────────┐
│                         Docker Compose Stack                         │
├─────────────────────────────────────────────────────────────────────┤
│                                                                     │
│  ┌─────────┐  ┌──────────┐  ┌─────────┐  ┌──────────────────────┐ │
│  │  Redis  │  │PostgreSQL│  │   API   │  │     API Worker       │ │
│  │  :6379  │  │  :5432   │  │  :8000  │  │  (background jobs)   │ │
│  └────┬────┘  └────┬─────┘  └────┬────┘  └──────────┬───────────┘ │
│       │             │             │                   │             │
│  ┌────┴─────────────┴─────────────┴───────────────────┘             │
│  │                                                                  │
│  ┌─────────┐  ┌──────────┐  ┌──────────────┐                      │
│  │  Edge   │  │ Frontend │  │  Prometheus  │                      │
│  │  :9100  │  │  :5173   │  │    :9090     │                      │
│  └─────────┘  └──────────┘  └──────────────┘                      │
│                                                                     │
└─────────────────────────────────────────────────────────────────────┘
```

## Quick Start

### 1. Clone and Configure

```bash
git clone <repo-url> smartclass
cd smartclass

# Create environment file
cp .env.example .env

# Generate a secure JWT secret
python -c "import secrets; print(f'JWT_SECRET_KEY={secrets.token_hex(32)}')" >> .env
```

### 2. Start All Services

```bash
# Start the full stack
docker compose up -d

# Check all services are running
docker compose ps

# View logs
docker compose logs -f
```

### 3. Run Database Migrations

```bash
docker compose exec api alembic upgrade head
```

### 4. Verify Deployment

```bash
# Quick health check
./scripts/healthcheck.sh

# Full smoke test
python scripts/postdeploy_smoke_check.py
```

## Project Structure

```
smartclass-ops/
├── docker-compose.yml              # Full service stack
├── Dockerfile                      # Edge node container
├── .env.example                    # Environment template
├── .github/
│   └── workflows/
│       └── ci-cd.yml               # CI/CD pipeline
├── services/
│   └── api/
│       ├── Dockerfile              # API server container
│       ├── alembic.ini             # Migration config
│       ├── alembic/
│       │   ├── env.py              # Async SQLAlchemy support
│       │   ├── script.py.mako      # Migration template
│       │   └── versions/
│       │       └── 001_initial.py  # Initial schema
│       └── init_db.sql             # DB initialization
├── frontend/
│   ├── Dockerfile                  # Multi-stage React build
│   └── nginx.conf                  # SPA routing config
├── monitoring/
│   ├── prometheus.yml              # Scrape configuration
│   ├── smartclass_alerts.yml       # Alert rules (6 alerts)
│   └── grafana_dashboard.json      # Pre-built dashboard
├── scripts/
│   ├── healthcheck.sh              # System health check
│   ├── postdeploy_smoke_check.py   # Post-deploy validation
│   ├── create_deploy_bundle.py     # Bundle creation for edge
│   ├── apply_deploy_bundle.ps1     # Bundle deployment (PowerShell)
│   └── register_edge_node.py       # Edge node registration
├── src/
│   └── edge_metrics.py             # Prometheus metrics exporter
└── config/
    └── edge_config.yaml            # Edge node configuration
```

## Service Management

### Start/Stop

```bash
# Start all
docker compose up -d

# Stop all (preserve data)
docker compose down

# Stop all (remove data)
docker compose down -v

# Restart single service
docker compose restart api
```

### Rebuild After Code Changes

```bash
# Rebuild API
docker compose up -d --build api

# Rebuild edge
docker compose up -d --build edge

# Rebuild all
docker compose up -d --build
```

### View Logs

```bash
docker compose logs -f api          # API server
docker compose logs -f edge         # Edge pipeline
docker compose logs -f api_worker   # Background worker
docker compose logs --tail 100 api  # Last 100 lines
```

## Database Migrations

```bash
# Apply all pending migrations
docker compose exec api alembic upgrade head

# Create new migration after model changes
docker compose exec api alembic revision --autogenerate -m "Add new table"

# Rollback last migration
docker compose exec api alembic downgrade -1

# View migration history
docker compose exec api alembic history
```

## Edge Node Deployment

### Register a New Edge Node

```bash
python scripts/register_edge_node.py \
    --node-id rpi5-room301 \
    --section AIML-3-A \
    --api-url http://central-server:8000
```

### Create Deployment Bundle

```bash
python scripts/create_deploy_bundle.py --section AIML-3-A
python scripts/create_deploy_bundle.py --section AIML-3-A --include-models
```

### Deploy to Edge Node (PowerShell on RPi5)

```powershell
powershell -ExecutionPolicy Bypass -File scripts/apply_deploy_bundle.ps1 `
    -BundleZip data/deploy/latest_bundle.zip `
    -SectionKey AIML-3-A `
    -DataDir data
```

### Deploy via Docker

```bash
docker run -d \
    --name smartclass-edge \
    -v /opt/smartclass/config:/opt/smartclass/config:ro \
    -v /opt/smartclass/models:/opt/smartclass/models:ro \
    -v /opt/smartclass/data:/opt/smartclass/data \
    -p 9100:9100 \
    -e REDIS_URL=redis://central-server:6379 \
    -e EDGE_CONFIG_PATH=/opt/smartclass/config/edge_config.yaml \
    smartclass-edge:latest
```

## Monitoring

### Access Points

| Service | URL | Purpose |
|---------|-----|---------|
| Prometheus | http://localhost:9090 | Metrics & alerts |
| Grafana | http://localhost:3000 | Dashboards (if added) |
| Edge Metrics | http://localhost:9100/metrics | Raw edge metrics |
| API Health | http://localhost:8000/health | API status |

### Alert Rules

| Alert | Trigger | Severity |
|-------|---------|----------|
| SmartClassLowFPS | FPS < 5 for 60s | Warning |
| SmartClassHighCPUTemp | CPU > 80°C for 60s | Critical |
| SmartClassHighMemoryUsage | Memory > 85% for 60s | Warning |
| SmartClassOfflineQueueBacklog | Queue > 1000 for 2m | Warning |
| SmartClassEdgeUnreachable | Node down for 2m | Critical |
| SmartClassHighRecognitionLatency | Latency > 50ms for 60s | Warning |

### Add New Edge Node to Prometheus

Edit `monitoring/prometheus.yml` and add under `smartclass-edge` targets:

```yaml
- targets: ["192.168.1.103:9100"]
  labels:
    service: "edge"
    section: "CSE-2-B"
    location: "room-205"
    environment: "production"
```

Then reload Prometheus:
```bash
curl -X POST http://localhost:9090/-/reload
```

## CI/CD Pipeline

The GitHub Actions pipeline (`.github/workflows/ci-cd.yml`) runs:

1. **Python CI** — ruff lint, mypy type check, pytest with coverage
2. **Frontend CI** — ESLint, TypeScript check, build, tests
3. **Docker Build** — Build and push images to GHCR (on push to main)
4. **Deploy** — SSH deploy to production (on version tags)

### Trigger a Release

```bash
git tag v1.2.0
git push origin v1.2.0
```

Images will be published to:
- `ghcr.io/<owner>/smart-attendance-edge:v1.2.0`
- `ghcr.io/<owner>/smart-attendance-api:v1.2.0`
- `ghcr.io/<owner>/smart-attendance-frontend:v1.2.0`

## Troubleshooting

### API Container Won't Start

```bash
# Check logs
docker compose logs api

# Common fixes:
# 1. Database not ready - check postgres health
docker compose exec postgres pg_isready

# 2. Missing JWT_SECRET_KEY
grep JWT_SECRET_KEY .env

# 3. Run migrations
docker compose exec api alembic upgrade head
```

### Edge Node Can't Connect to Redis

```bash
# Check Redis is running
docker compose exec redis redis-cli ping

# Check from edge container
docker compose exec edge python -c "import redis; r=redis.from_url('redis://redis:6379'); print(r.ping())"

# Check network
docker network inspect smartclass-ops_smartclass-net
```

### Frontend Shows Blank Page

```bash
# Check build args
docker compose logs frontend

# Rebuild with correct API URL
VITE_API_URL=http://your-api-server:8000 docker compose up -d --build frontend
```

### High Memory Usage / OOM

```bash
# Check container memory usage
docker stats --no-stream

# Increase limits in docker-compose.yml:
# deploy:
#   resources:
#     limits:
#       memory: 2G
```

## Environment Variables Reference

| Variable | Service | Required | Default |
|----------|---------|----------|---------|
| `POSTGRES_USER` | postgres | No | sc_user |
| `POSTGRES_PASSWORD` | postgres | Yes | - |
| `POSTGRES_DB` | postgres | No | smartclass |
| `JWT_SECRET_KEY` | api | Yes | - |
| `REDIS_URL` | api, worker, edge | No | redis://redis:6379 |
| `CORS_ORIGINS` | api | No | ["http://localhost:5173"] |
| `ENVIRONMENT` | api | No | development |
| `LOG_LEVEL` | api, worker | No | info |
| `EDGE_MODE` | edge | No | test |
| `VITE_API_URL` | frontend | No | http://localhost:8000 |

## Security Notes

- **Never** commit `.env` files to version control
- JWT secret must be **256-bit minimum** for production
- Use a secrets vault (HashiCorp Vault, AWS Secrets Manager) in production
- The `.gitignore` should include: `.env`, `data/`, `models/`, `*.pem`
- API runs as non-root user inside container
- Edge node runs as non-root user inside container

<!-- ml-intern-provenance -->
## Generated by ML Intern

This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.

- Try ML Intern: https://smolagents-ml-intern.hf.space
- Source code: https://github.com/huggingface/ml-intern

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "balaji958685/smartclass-ops"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
```

For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.