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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>
86 lines
2.1 KiB
Docker
86 lines
2.1 KiB
Docker
# Multi-stage Dockerfile per Datacenter Documentation System
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# Stage 1: Build MkDocs documentation
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FROM python:3.12-slim as docs-builder
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WORKDIR /build
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# Install MkDocs e plugins
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RUN pip install --no-cache-dir \
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mkdocs==1.5.3 \
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mkdocs-material==9.5.3 \
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mkdocs-git-revision-date-localized-plugin==1.2.2 \
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mkdocs-minify-plugin==0.7.2 \
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mkdocs-awesome-pages-plugin==2.9.2 \
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mkdocs-macros-plugin==1.0.5 \
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markdown==3.5.1 \
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pymdown-extensions==10.5
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# Copy documentation source
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COPY mkdocs.yml /build/
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COPY docs /build/docs/
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COPY templates /build/docs/sections/
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# Build documentation
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RUN mkdocs build --clean --strict
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# Stage 2: Runtime application
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FROM python:3.12-slim
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LABEL maintainer="automation-team@company.com"
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LABEL description="Datacenter Documentation Server with FastAPI and MCP"
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# Installinstall system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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libpq-dev \
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openssh-client \
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snmp \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Copy requirements
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COPY requirements.txt /app/
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COPY api/requirements-api.txt /app/
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt \
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&& pip install --no-cache-dir -r requirements-api.txt
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# Copy application code
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COPY api/ /app/api/
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COPY mcp-server/ /app/mcp-server/
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COPY scripts/ /app/scripts/
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# Copy built documentation from builder stage
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COPY --from=docs-builder /build/site /app/site
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# Create necessary directories
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RUN mkdir -p /app/docs/sections /app/config /app/logs
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# Copy sections (templates will be populated by automation)
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COPY templates/ /app/docs/sections/
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# Create non-root user
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RUN useradd -m -u 1000 appuser && \
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chown -R appuser:appuser /app
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USER appuser
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# Expose ports
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# 8000: FastAPI documentation server
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# 8001: MCP server
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EXPOSE 8000 8001
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD curl -f http://localhost:8000/health || exit 1
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# Startup script
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COPY --chown=appuser:appuser docker-entrypoint.sh /app/
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RUN chmod +x /app/docker-entrypoint.sh
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ENTRYPOINT ["/app/docker-entrypoint.sh"]
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CMD ["server"]
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