8 Commits

Author	SHA1	Message	Date
dnviti	d6d44270ee	refactor: reorganize CI/CD pipelines into separate workflow files ... BREAKING CHANGE: Monolithic ci.yml split into focused pipeline files ## Pipeline Reorganization Split single CI/CD pipeline into 7 specialized workflows: 1. **lint.yml** - Code quality checks (Black, Ruff, MyPy) 2. **test.yml** - Test suite with coverage reporting 3. **security.yml** - Security scanning (Bandit) 4. **build.yml** - Docker image builds and registry push 5. **deploy-staging.yml** - Staging environment deployment 6. **deploy-production.yml** - Production deployment (tags only) 7. **docs-generation.yml** - Scheduled documentation generation ## Benefits - **Modularity**: Each pipeline has single responsibility - **Performance**: Workflows run independently, faster feedback - **Clarity**: Easier to understand and maintain - **Flexibility**: Trigger pipelines independently - **Debugging**: Isolated failures easier to diagnose ## Dockerfile Improvements - Fix FROM AS casing (was 'as', now 'AS') in all Dockerfiles - Resolves Docker build warnings - Improves consistency across build files ## Documentation - Added .gitea/workflows/README.md with: - Workflow descriptions and triggers - Dependency diagram - Environment variables reference - Troubleshooting guide - Best practices ## Migration Notes - Old monolithic pipeline backed up as ci.yml.old - All triggers preserved from original pipeline - No changes to build or deploy logic - Same environment variables and secrets required 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-10-21 13:37:21 +02:00
dnviti	73c352128b	feat: add Docker Compose configuration for MongoDB, Redis, FastAPI, Chat, Worker, Flower, and Frontend services; include health checks and volume management	2025-10-21 11:45:08 +02:00
dnviti	c8aebaaee3	feat: implement automatic ChromaDB indexing and loop-based documentation generation ... - Add automatic ChromaDB indexing after documentation generation - Implement loop-based section generation for individual VM and container documentation - Fix Celery anti-pattern in generate_proxmox_docs task (removed blocking .get() call) - Share ChromaDB vector store volume between worker and chat services - Add documentation management UI to frontend with manual job triggering and log viewing - Fix frontend Socket.IO connection URL to point to correct chat service port - Enhance DocumentationAgent.index_documentation() with automatic cleanup of old documents - Update Proxmox template to generate individual files for each VM and container This enables the RAG system to properly respond with infrastructure-specific information from the generated documentation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-10-21 03:00:50 +02:00
dnviti	27dd9e00b6	feat: enhance chat service with documentation indexing and improved Docker configuration	2025-10-20 19:15:32 +02:00
dnviti	6f5deb0879	feat: add multilingual chat support with markdown rendering ... - Fix Socket.IO proxy configuration in nginx for chat connectivity - Add Socket.IO path routing (/socket.io/) with WebSocket upgrade support - Fix frontend healthcheck to use curl instead of wget - Add react-markdown and remark-gfm for proper markdown rendering - Implement language selector in chat interface (8 languages supported) - Add language parameter to chat agent and LLM prompts - Support English, Italian, Spanish, French, German, Portuguese, Chinese, Japanese This resolves the chat connection issues and enables users to receive AI responses in their preferred language with properly formatted markdown. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-10-20 19:14:38 +02:00
dnviti	8092e20b2d	chore: improve Docker/Podman compatibility and package installation ... - Update Claude permissions to allow podman-compose commands - Improve Dockerfile package installation with poetry-core - Switch to explicit docker.io image references for Podman compatibility - Add PYTHONPATH configuration to ensure proper module imports - Change frontend port from 80 to 8080 for non-root compatibility - Add initial chat server implementation (main.py) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-10-20 02:08:22 +02:00
dnviti	52655e9eee	feat: Implement CLI tool, Celery workers, and VMware collector ... Complete implementation of core MVP components: CLI Tool (src/datacenter_docs/cli.py): - 11 commands for system management (serve, worker, init-db, generate, etc.) - Auto-remediation policy management (enable/disable/status) - System statistics and monitoring - Rich formatted output with tables and panels Celery Workers (src/datacenter_docs/workers/): - celery_app.py with 4 specialized queues (documentation, auto_remediation, data_collection, maintenance) - tasks.py with 8 async tasks integrated with MongoDB/Beanie - Celery Beat scheduling (6h docs, 1h data collection, 15m metrics, 2am cleanup) - Rate limiting (10 auto-remediation/h) and timeout configuration - Task lifecycle signals and comprehensive logging VMware Collector (src/datacenter_docs/collectors/): - BaseCollector abstract class with full workflow (connect/collect/validate/store/disconnect) - VMwareCollector for vSphere infrastructure data collection - Collects VMs, ESXi hosts, clusters, datastores, networks with statistics - MCP client integration with mock data fallback for development - MongoDB storage via AuditLog and data validation Documentation & Configuration: - Updated README.md with CLI commands and Workers sections - Updated TODO.md with project status (55% completion) - Added CLAUDE.md with comprehensive project instructions - Added Docker compose setup for development environment Project Status: - Completion: 50% -> 55% - MVP Milestone: 80% complete (only Infrastructure Generator remaining) - Estimated time to MVP: 1-2 days 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-10-19 22:29:59 +02:00
LLM Automation System	1ba5ce851d	Initial commit: LLM Automation Docs & Remediation Engine v2.0 ... Features: - Automated datacenter documentation generation - MCP integration for device connectivity - Auto-remediation engine with safety checks - Multi-factor reliability scoring (0-100%) - Human feedback learning loop - Pattern recognition and continuous improvement - Agentic chat support with AI - API for ticket resolution - Frontend React with Material-UI - CI/CD pipelines (GitLab + Gitea) - Docker & Kubernetes deployment - Complete documentation and guides v2.0 Highlights: - Auto-remediation with write operations (disabled by default) - Reliability calculator with 4-factor scoring - Human feedback system for continuous learning - Pattern-based progressive automation - Approval workflow for critical actions - Full audit trail and rollback capability	2025-10-17 23:47:28 +00:00