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52655e9eee
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feat: Implement CLI tool, Celery workers, and VMware collector
CI/CD Pipeline / Generate Documentation (push) Successful in 4m57s
CI/CD Pipeline / Lint Code (push) Successful in 5m33s
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CI/CD Pipeline / Deploy to Staging (push) Has been skipped
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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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2025-10-19 22:29:59 +02:00 |
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09a9e0f066
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feat: Upgrade to Python 3.13 and complete MongoDB migration
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Major improvements:
- Upgrade Python from 3.10 to 3.13 with updated dependencies
- Complete migration from SQLAlchemy to MongoDB/Beanie ODM
- Fix all type checking errors (MyPy: 0 errors)
- Fix all linting issues (Ruff: 0 errors)
- Ensure code formatting (Black: 100% compliant)
Technical changes:
- pyproject.toml: Update to Python 3.13, modernize dependencies
- models.py: Expand MongoDB models, add enums (ActionRiskLevel, TicketStatus, FeedbackType)
- reliability.py: Complete rewrite from SQLAlchemy to Beanie (552 lines)
- main.py: Add return type annotations, fix TicketResponse types
- agent.py: Add type annotations, fix Anthropic API response handling
- client.py: Add async context manager types
- config.py: Add default values for required settings
- database.py: Update Beanie initialization with all models
All pipeline checks passing:
✅ Black formatting
✅ Ruff linting
✅ MyPy type checking
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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2025-10-19 12:36:28 +02:00 |
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