feat: Implement CLI tool, Celery workers, and VMware collector
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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>
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.env.example
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.env.example
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# MongoDB
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# =============================================================================
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# Datacenter Documentation System - Configuration Template
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# Copy this file to .env and fill in your actual values
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# =============================================================================
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# =============================================================================
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# MongoDB Configuration
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# =============================================================================
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MONGO_ROOT_USER=admin
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MONGO_ROOT_PASSWORD=changeme_secure_mongo_password
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MONGODB_URL=mongodb://admin:changeme_secure_mongo_password@mongodb:27017
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MONGODB_DATABASE=datacenter_docs
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# Redis
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# =============================================================================
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# Redis Configuration
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# =============================================================================
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REDIS_PASSWORD=changeme_redis_password
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REDIS_URL=redis://redis:6379/0
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# MCP Server
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# =============================================================================
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# MCP Server Configuration
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# =============================================================================
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MCP_SERVER_URL=https://mcp.company.local
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MCP_API_KEY=your_mcp_api_key_here
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# Anthropic API
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ANTHROPIC_API_KEY=your_anthropic_api_key_here
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# =============================================================================
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# LLM Configuration (OpenAI-compatible API)
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# Choose one of the configurations below and uncomment it
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# =============================================================================
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# CORS
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# --- OpenAI (Default) ---
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LLM_BASE_URL=https://api.openai.com/v1
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LLM_API_KEY=sk-your-openai-api-key-here
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LLM_MODEL=gpt-4-turbo-preview
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# Alternative models: gpt-4, gpt-3.5-turbo
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# --- Anthropic Claude (OpenAI-compatible) ---
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# LLM_BASE_URL=https://api.anthropic.com/v1
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# LLM_API_KEY=sk-ant-your-anthropic-key-here
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# LLM_MODEL=claude-sonnet-4-20250514
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# Alternative models: claude-3-opus-20240229, claude-3-sonnet-20240229
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# --- LLMStudio (Local) ---
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# LLM_BASE_URL=http://localhost:1234/v1
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# LLM_API_KEY=not-needed
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# LLM_MODEL=your-local-model-name
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# --- Open-WebUI (Local) ---
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# LLM_BASE_URL=http://localhost:8080/v1
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# LLM_API_KEY=your-open-webui-key
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# LLM_MODEL=llama3
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# Alternative models: mistral, mixtral, codellama
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# --- Ollama (Local) ---
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# LLM_BASE_URL=http://localhost:11434/v1
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# LLM_API_KEY=ollama
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# LLM_MODEL=llama3
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# Alternative models: mistral, mixtral, codellama, phi3
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# LLM Generation Settings
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LLM_TEMPERATURE=0.3
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LLM_MAX_TOKENS=4096
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# =============================================================================
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# API Configuration
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# =============================================================================
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API_HOST=0.0.0.0
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API_PORT=8000
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WORKERS=4
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# =============================================================================
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# CORS Configuration
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# =============================================================================
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CORS_ORIGINS=http://localhost:3000,https://docs.company.local
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# Optional
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# =============================================================================
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# Application Settings
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# =============================================================================
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LOG_LEVEL=INFO
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DEBUG=false
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# =============================================================================
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# Celery Configuration
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# =============================================================================
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CELERY_BROKER_URL=redis://redis:6379/0
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CELERY_RESULT_BACKEND=redis://redis:6379/0
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# =============================================================================
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# Vector Store Configuration
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# =============================================================================
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VECTOR_STORE_PATH=./data/chroma_db
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EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
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