This commit adds complete Docker Compose support to the CLI application, making it easy to run the SIGMA rule generator in a containerized environment: DOCKER INFRASTRUCTURE: - docker-compose.yml: Complete service orchestration (CLI app, PostgreSQL, Redis, optional Ollama) - Dockerfile: Optimized CLI application container with all dependencies - init.sql: Database initialization for PostgreSQL - .env.example: Updated environment configuration for both Docker and native setups - Makefile: Convenient commands for Docker operations (setup, up, down, shell, cli execution) DOCUMENTATION UPDATES: - README.md: Comprehensive Docker vs Native comparison with detailed usage examples - CLAUDE.md: Updated project guidance with Docker Compose as recommended approach - Added step-by-step setup instructions for both deployment methods - Included command examples for both Docker Compose and native execution DOCKER SERVICES: - sigma-cli: Main CLI application container with volume mounts for data persistence - db: PostgreSQL database for legacy migrations and data processing - redis: Redis cache for performance optimization - ollama: Optional local LLM service (profile-based) DATA PERSISTENCE: - Host-mounted directories: ./cves/, ./reports/, ./logs/, ./backend/templates/ - Named volumes: postgres_data, redis_data, ollama_data - Complete data preservation between container restarts This provides users with multiple deployment options: 1. Quick Docker Compose setup (recommended for testing/evaluation) 2. Native installation (recommended for production/development) 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> |
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adapter_config.json | ||
chat_template.jinja | ||
README.md | ||
special_tokens_map.json | ||
tokenizer.json | ||
tokenizer_config.json |
base_model | library_name | pipeline_tag | tags | |||
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meta-llama/Llama-3.2-3B-Instruct | peft | text-generation |
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