dnviti
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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>
65 lines
1.5 KiB
Docker
65 lines
1.5 KiB
Docker
# Dockerfile for FastAPI API Service
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FROM python:3.12-slim as builder
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WORKDIR /build
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# Install Poetry
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RUN pip install --no-cache-dir poetry==1.8.0
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# Copy dependency files
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COPY pyproject.toml poetry.lock ./
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# Export dependencies
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RUN poetry config virtualenvs.create false \
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&& poetry export -f requirements.txt --output requirements.txt --without-hashes
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# Runtime stage
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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 API Server"
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# Install 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 from builder
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COPY --from=builder /build/requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code and package definition
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COPY src/ /app/src/
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COPY config/ /app/config/
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COPY pyproject.toml README.md /app/
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# Install the package in editable mode
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RUN pip install --no-cache-dir -e /app
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# Create necessary directories
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RUN mkdir -p /app/logs /app/output
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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 API port
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EXPOSE 8000
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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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# Run the API server
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CMD ["python", "-m", "uvicorn", "datacenter_docs.api.main:app", "--host", "0.0.0.0", "--port", "8000"]
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