# Features Overview

## Core Features

### Storage & Backend
- **Multi-format Support**: CSV, JSON, binary files, and PCAP (packet capture) files
- **Dual Storage Backend**:
  - **AWS S3** for cloud deployments
  - **MinIO** for air-gapped/self-hosted deployments
- **Automatic Backend Selection**: Based on deployment mode feature flag
- **Storage Abstraction**: Seamlessly switch between S3 and MinIO via configuration

### Database & Metadata
- **PostgreSQL Database**: Stores all artifact metadata
- **Rich Metadata Support**:
  - Test information (name, suite, configuration, result)
  - Custom metadata (JSON format)
  - Tags for categorization
  - File versioning support
  - Timestamps and audit trail

### API Features
- **RESTful API**: Built with FastAPI
- **File Operations**:
  - Upload with metadata
  - Download (direct or presigned URLs)
  - Delete
  - Query with filters
- **Advanced Querying**:
  - Filter by filename, file type, test name, test suite, test result
  - Tag-based filtering
  - Date range queries
  - Pagination support
- **Auto-generated Documentation**: Swagger UI and ReDoc

### Feature Flags

#### Deployment Mode
Toggle between cloud and air-gapped environments:

```bash
# Air-gapped mode (default)
DEPLOYMENT_MODE=air-gapped
# Automatically uses MinIO for storage

# Cloud mode
DEPLOYMENT_MODE=cloud
# Automatically uses AWS S3 for storage
```

**Benefits**:
- Single codebase for both deployment scenarios
- Automatic backend configuration
- Easy environment switching
- No code changes required

### Test Utilities

#### Seed Data Generation
Generate realistic test data for development and testing:

**Quick Usage**:
```bash
# Generate 25 artifacts (default)
python seed.py

# Generate specific number
python seed.py 100

# Clear all data
python seed.py clear
```

**Advanced Usage**:
```bash
# Using the module directly
python -m utils.seed_data generate --count 50

# Clear all artifacts
python -m utils.seed_data clear
```

**Generated Data Includes**:
- CSV files with test results
- JSON configuration files
- Binary test data files
- PCAP network capture files
- Realistic metadata:
  - Test names and suites
  - Pass/fail/skip/error results
  - Random tags
  - Test configurations
  - Version information
  - Timestamps (last 30 days)

### Frontend (Angular 19)

**Modern Web Interface**:
- Built with Angular 19 standalone components
- Material Design theming and layout
- Responsive design

**Key Components**:
- **Artifact List**: Browse and manage artifacts with pagination
- **Upload Form**: Upload files with metadata input
- **Query Interface**: Advanced filtering and search
- **Detail View**: View full artifact information
- **Download/Delete**: Quick actions

**Features**:
- Real-time deployment mode indicator
- File type icons and badges
- Result status chips (pass/fail/skip/error)
- Responsive data tables
- Drag-and-drop file upload

### Deployment

#### Docker Support
- **Dockerized Application**: Single container for API
- **Docker Compose**: Complete stack (API + PostgreSQL + MinIO)
- **Multi-stage Builds**: Optimized image size

#### Kubernetes/Helm
- **Single Helm Chart**: Deploy entire stack
- **Configurable Values**: Resources, replicas, storage
- **Auto-scaling Support**: HPA for production
- **Health Checks**: Liveness and readiness probes

#### CI/CD
- **GitLab CI Pipeline**: Automated testing and deployment
- **Multi-environment**: Dev, staging, production
- **Manual Gates**: Control production deployments
- **Container Registry**: Automatic image building

### Security & Reliability

**Application**:
- Non-root container user
- Health check endpoints
- Structured logging
- Error handling and rollback

**Storage**:
- Presigned URLs for secure downloads
- UUID-based file naming (prevents conflicts)
- Automatic bucket creation

**Database**:
- Connection pooling
- Transaction management
- Indexed queries for performance

### Monitoring & Observability

**Health Checks**:
- `/health` endpoint for liveness
- Database connectivity check
- Storage backend verification

**Logging**:
- Structured logging format
- Configurable log levels
- Request/response logging

**Metrics** (Future):
- Prometheus endpoint
- Upload/download metrics
- Storage usage tracking

## Feature Comparison Matrix

| Feature | Cloud Mode | Air-Gapped Mode |
|---------|-----------|-----------------|
| Storage Backend | AWS S3 | MinIO |
| Database | RDS/Self-hosted PostgreSQL | Self-hosted PostgreSQL |
| Authentication | IAM/OAuth | Internal |
| Deployment | EKS/Cloud K8s | On-premise K8s |
| Cost Model | Pay-per-use | Fixed infrastructure |
| Scalability | Unlimited | Hardware-limited |
| Internet Required | Yes | No |

## Use Cases

### Test Automation
- Store test execution results (CSV)
- Archive test configurations (JSON)
- Track test history and trends
- Query by test suite, result, date

### Network Testing
- Store packet captures (PCAP)
- Associate captures with test runs
- Query by tags and metadata
- Download for analysis

### Build Artifacts
- Store binary test data
- Version control for test files
- Track across builds
- Query by version

### Compliance & Audit
- Immutable artifact storage
- Timestamp tracking
- Metadata for traceability
- Easy retrieval for audits

## Future Enhancements

### Planned Features
- [ ] Authentication & Authorization (OAuth, RBAC)
- [ ] File preview in UI
- [ ] Bulk upload API
- [ ] Advanced analytics dashboard
- [ ] Webhook notifications
- [ ] Full-text search (Elasticsearch)
- [ ] Automatic artifact retention policies
- [ ] Data export/import tools
- [ ] Performance metrics dashboard
- [ ] API rate limiting

### Under Consideration
- [ ] Multi-tenant support
- [ ] Artifact comparison tools
- [ ] Integration with CI/CD systems
- [ ] Automated report generation
- [ ] Machine learning for test prediction
- [ ] Distributed tracing
- [ ] Artifact deduplication
- [ ] Cost analysis dashboard