Chore: update md and make command
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3 changed files with 256 additions and 47 deletions
119
ARCHITECTURE.md
119
ARCHITECTURE.md
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@ -1133,25 +1133,126 @@ def test_yolo_detection_speed(self, sample_frame, performance_config):
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## Development Workflow
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### Cross-Platform Setup
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The Makefile automatically detects the correct Python command for your platform:
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- **macOS/Linux**: Uses `python3` and `pip3` if available
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- **Windows**: Falls back to `python` and `pip`
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- **Automatic Detection**: No manual configuration needed
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### Step-by-Step Project Setup
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#### 1. Clone and Navigate to Project
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```bash
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git clone <repository-url>
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cd python-detector-worker
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```
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#### 2. Install Dependencies
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```bash
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# Install production dependencies
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make install
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# Install development dependencies (includes testing tools)
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make install-dev
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# Check environment information
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make env-info
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```
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#### 3. Configure Environment (Optional)
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```bash
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# Copy example configuration (if exists)
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cp config.example.json config.json
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# Set environment variables for development
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export DETECTOR_WORKER_ENV=dev
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export DETECTOR_WORKER_PORT=8001
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```
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#### 4. Run the Application
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```bash
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# For development (staging port 8001 with auto-reload)
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make run-staging
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# For production (port 8000)
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make run-prod
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# For debugging (verbose logging on staging port)
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make run-debug
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```
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#### 5. Verify Installation
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```bash
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# Check system health
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curl http://localhost:8001/health
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# Run basic tests
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make test-fast
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# Check code quality
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make lint
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```
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### Development Commands
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#### Environment Management
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```bash
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# Setup
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make install-dev # Install development dependencies
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make format # Format code with black & isort
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make lint # Run code linting
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make env-info # Show environment information
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make check-deps # Verify dependency integrity
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make update-deps # List outdated dependencies
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make freeze # Generate requirements-frozen.txt
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```
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# Testing
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#### Code Development
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```bash
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# Code quality
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make format # Format code with black & isort
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make lint # Run code linting (flake8, mypy)
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make quality # Run all quality checks
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# Application execution
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make run # Run production mode (port 8000) with reload
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make run-staging # Run staging mode (port 8001) with reload
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make run-prod # Run production mode (port 8000) without reload
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make run-debug # Run debug mode (port 8001) with verbose logging
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```
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#### Testing Framework
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```bash
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# Test execution
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make test # Run all tests with coverage
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make test-unit # Run unit tests only
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make test-integration # Run integration tests
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make test-performance # Run performance benchmarks
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make test-fast # Run fast tests only
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make test-fast # Run fast tests only (skip slow markers)
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make test-coverage # Generate detailed coverage report
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make test-failed # Rerun only failed tests
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# Development
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make run # Run the application
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make clean # Clean build artifacts
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# CI/CD testing
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make ci-test # Run CI-optimized tests
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make ci-quality # Run CI quality checks
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```
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#### Docker Operations
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```bash
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# Container management
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make docker-build # Build Docker image
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make docker-run # Run container (production port 8000)
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make docker-run-staging # Run container (staging port 8001)
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make docker-dev # Run development container with volume mounts
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```
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#### Utilities
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```bash
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# Maintenance
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make clean # Clean build artifacts and cache
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make monitor # Start system resource monitor
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make profile # Run performance profiling
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make version # Show application version
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# Database utilities (when implemented)
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make db-migrate # Run database migrations
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make db-reset # Reset database to initial state
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```
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### Using the Test Runner
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103
CLAUDE.md
103
CLAUDE.md
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@ -375,39 +375,120 @@ make format
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## Development & Deployment
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### Local Development Setup
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### Cross-Platform Development Setup
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The project supports cross-platform development with automatic Python command detection:
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- **macOS/Linux**: Automatically uses `python3` and `pip3`
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- **Windows**: Falls back to `python` and `pip`
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- **No manual configuration needed**
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### Step-by-Step Setup Guide
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#### 1. Clone and Setup
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```bash
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# Install dependencies
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git clone <repository-url>
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cd python-detector-worker
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# Check environment information
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make env-info
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```
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#### 2. Install Dependencies
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```bash
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# Install production dependencies
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make install
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# Install development dependencies (recommended)
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make install-dev
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# Run the application
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# Verify installation
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make check-deps
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```
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#### 3. Run the Application
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```bash
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# Development mode (staging port 8001 with auto-reload)
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make run-staging
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# Production mode (port 8000 with auto-reload)
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make run
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# Run with debug mode
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# Production mode (port 8000 without auto-reload)
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make run-prod
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# Debug mode (staging port 8001 with verbose logging)
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make run-debug
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```
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# Run tests
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make test
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#### 4. Verify Setup
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```bash
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# Check application health
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curl http://localhost:8001/health # For staging
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curl http://localhost:8000/health # For production
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# Format code
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make format
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# Run quick tests
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make test-fast
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# Run quality checks
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make quality
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# Check code quality
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make lint
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```
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### Local Development Commands
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#### Application Execution
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```bash
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make run # Production mode (port 8000) with reload
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make run-staging # Staging mode (port 8001) with reload
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make run-prod # Production mode (port 8000) without reload
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make run-debug # Debug mode (staging port 8001) with verbose logging
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```
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#### Code Quality & Testing
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```bash
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# Code formatting and quality
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make format # Format code with black & isort
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make lint # Run linting (flake8, mypy)
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make quality # Run all quality checks
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# Testing
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make test # Run all tests with coverage
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make test-unit # Run unit tests only
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make test-integration # Run integration tests
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make test-performance # Run performance benchmarks
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make test-fast # Run fast tests only
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make test-coverage # Generate detailed coverage report
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# Development utilities
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make clean # Clean build artifacts
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make env-info # Show environment details
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make version # Show application version
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```
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### Docker Deployment
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#### Basic Docker Operations
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```bash
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# Build container
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make docker-build
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# Run container
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# Run container (production port 8000)
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make docker-run
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# Run container (staging port 8001)
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make docker-run-staging
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# Development container with volume mounts
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make docker-dev
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```
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#### Docker Environment Variables
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```bash
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# Run with custom port
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docker run -p 8001:8001 -e DETECTOR_WORKER_PORT=8001 detector-worker
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# Run with configuration
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docker run -v $(PWD)/config.json:/app/config.json detector-worker
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```
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### Configuration Management
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- **Environment Variables**: Override default configuration
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- **config.json**: Development and production settings
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81
Makefile
81
Makefile
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@ -1,7 +1,15 @@
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# Detector Worker Makefile
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# Provides convenient commands for development, testing, and deployment
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.PHONY: help install install-dev test test-unit test-integration test-performance test-all test-fast test-coverage lint format clean run docker-build docker-run
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# Cross-platform Python command detection
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PYTHON := $(shell command -v python3 2> /dev/null || command -v python 2> /dev/null || echo "python")
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PIP := $(shell command -v pip3 2> /dev/null || command -v pip 2> /dev/null || echo "pip")
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# Environment configuration
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PORT_PROD := 8000
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PORT_STAGING := 8001
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.PHONY: help install install-dev test test-unit test-integration test-performance test-all test-fast test-coverage lint format clean run run-staging run-prod docker-build docker-run
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# Default target
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help:
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@echo " make quality Run all quality checks"
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@echo ""
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@echo "Development:"
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@echo " make run Run the detector worker"
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@echo " make run Run the detector worker (production - port 8000)"
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@echo " make run-staging Run the detector worker (staging - port 8001)"
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@echo " make run-prod Run the detector worker (production - port 8000)"
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@echo " make clean Clean build artifacts"
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@echo ""
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@echo "Docker:"
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@ -34,32 +44,32 @@ help:
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# Installation targets
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install:
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pip install -r requirements.txt
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$(PIP) install -r requirements.txt
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install-dev: install
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pip install -r requirements-dev.txt
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$(PIP) install -r requirements-dev.txt
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# Testing targets
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test:
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python scripts/run_tests.py --all
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$(PYTHON) scripts/run_tests.py --all
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test-unit:
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python scripts/run_tests.py --unit --verbose
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$(PYTHON) scripts/run_tests.py --unit --verbose
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test-integration:
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python scripts/run_tests.py --integration --verbose
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$(PYTHON) scripts/run_tests.py --integration --verbose
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test-performance:
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python scripts/run_tests.py --performance --verbose
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$(PYTHON) scripts/run_tests.py --performance --verbose
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test-fast:
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python scripts/run_tests.py --fast --verbose
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$(PYTHON) scripts/run_tests.py --fast --verbose
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test-coverage:
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python scripts/run_tests.py --coverage --open-browser
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$(PYTHON) scripts/run_tests.py --coverage --open-browser
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test-failed:
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python scripts/run_tests.py --failed --verbose
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$(PYTHON) scripts/run_tests.py --failed --verbose
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# Code quality targets
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lint:
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isort detector_worker tests scripts
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quality: lint
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python scripts/run_tests.py --quality
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$(PYTHON) scripts/run_tests.py --quality
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# Development targets
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run:
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python app.py
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@echo "Running Detector Worker on production port $(PORT_PROD)..."
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$(PYTHON) -m uvicorn app:app --host 0.0.0.0 --port $(PORT_PROD) --reload
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run-staging:
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@echo "Running Detector Worker on staging port $(PORT_STAGING)..."
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$(PYTHON) -m uvicorn app:app --host 0.0.0.0 --port $(PORT_STAGING) --reload
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run-prod:
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@echo "Running Detector Worker on production port $(PORT_PROD)..."
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$(PYTHON) -m uvicorn app:app --host 0.0.0.0 --port $(PORT_PROD)
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run-debug:
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python app.py --debug
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@echo "Running Detector Worker in debug mode on port $(PORT_STAGING)..."
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$(PYTHON) -m uvicorn app:app --host 0.0.0.0 --port $(PORT_STAGING) --reload --log-level debug
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clean:
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@echo "Cleaning build artifacts..."
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docker build -t detector-worker .
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docker-run:
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docker run -p 8000:8000 detector-worker
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docker run -p $(PORT_PROD):$(PORT_PROD) detector-worker
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docker-run-staging:
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docker run -p $(PORT_STAGING):$(PORT_STAGING) -e DETECTOR_WORKER_PORT=$(PORT_STAGING) detector-worker
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docker-dev:
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docker run -it -v $(PWD):/app -p 8000:8000 detector-worker bash
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docker run -it -v $(PWD):/app -p $(PORT_PROD):$(PORT_PROD) detector-worker bash
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# CI/CD targets
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ci-test:
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python scripts/run_tests.py --all --skip-slow
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$(PYTHON) scripts/run_tests.py --all --skip-slow
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ci-quality:
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python scripts/run_tests.py --quality
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$(PYTHON) scripts/run_tests.py --quality
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# Documentation targets
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docs:
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@ -121,19 +144,19 @@ docs:
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# Development utilities
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check-deps:
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pip check
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$(PIP) check
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update-deps:
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pip list --outdated
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$(PIP) list --outdated
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freeze:
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pip freeze > requirements-frozen.txt
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$(PIP) freeze > requirements-frozen.txt
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# Performance profiling
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profile:
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python -m cProfile -o profile_output.prof app.py
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$(PYTHON) -m cProfile -o profile_output.prof app.py
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@echo "Profile saved to profile_output.prof"
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@echo "View with: python -m pstats profile_output.prof"
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@echo "View with: $(PYTHON) -m pstats profile_output.prof"
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# Database utilities (if needed)
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db-migrate:
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# Monitor and debug
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monitor:
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@echo "Starting system monitor..."
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python -c "import psutil; import time; [print(f'CPU: {psutil.cpu_percent()}%, Memory: {psutil.virtual_memory().percent}%') or time.sleep(1) for _ in range(60)]"
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$(PYTHON) -c "import psutil; import time; [print(f'CPU: {psutil.cpu_percent()}%, Memory: {psutil.virtual_memory().percent}%') or time.sleep(1) for _ in range(60)]"
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# Utility targets
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version:
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python -c "import detector_worker; print(f'Detector Worker Version: {getattr(detector_worker, \"__version__\", \"unknown\")}')"
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$(PYTHON) -c "import detector_worker; print(f'Detector Worker Version: {getattr(detector_worker, \"__version__\", \"unknown\")}')"
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env-info:
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@echo "Environment Information:"
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@echo "Python: $(shell python --version)"
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@echo "Pip: $(shell pip --version)"
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@echo "Python: $(shell $(PYTHON) --version)"
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@echo "Pip: $(shell $(PIP) --version)"
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@echo "Python Command: $(PYTHON)"
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@echo "Pip Command: $(PIP)"
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@echo "Working Directory: $(PWD)"
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@echo "Production Port: $(PORT_PROD)"
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@echo "Staging Port: $(PORT_STAGING)"
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@echo "Git Branch: $(shell git branch --show-current 2>/dev/null || echo 'Not a git repository')"
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@echo "Git Commit: $(shell git rev-parse --short HEAD 2>/dev/null || echo 'Not a git repository')"
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