dnviti
52655e9eee
Some checks failed
CI/CD Pipeline / Generate Documentation (push) Successful in 4m57s
CI/CD Pipeline / Lint Code (push) Successful in 5m33s
CI/CD Pipeline / Run Tests (push) Successful in 4m20s
CI/CD Pipeline / Security Scanning (push) Successful in 4m32s
CI/CD Pipeline / Build and Push Docker Images (chat) (push) Failing after 49s
CI/CD Pipeline / Build and Push Docker Images (frontend) (push) Failing after 48s
CI/CD Pipeline / Build and Push Docker Images (worker) (push) Failing after 46s
CI/CD Pipeline / Build and Push Docker Images (api) (push) Failing after 40s
CI/CD Pipeline / Deploy to Staging (push) Has been skipped
CI/CD Pipeline / Deploy to Production (push) Has been skipped
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>
61 lines
1.4 KiB
Docker
61 lines
1.4 KiB
Docker
# Dockerfile for Chat Service
|
|
FROM python:3.12-slim as builder
|
|
|
|
WORKDIR /build
|
|
|
|
# Install Poetry
|
|
RUN pip install --no-cache-dir poetry==1.8.0
|
|
|
|
# Copy dependency files
|
|
COPY pyproject.toml poetry.lock ./
|
|
|
|
# Export dependencies
|
|
RUN poetry config virtualenvs.create false \
|
|
&& poetry export -f requirements.txt --output requirements.txt --without-hashes
|
|
|
|
# Runtime stage
|
|
FROM python:3.12-slim
|
|
|
|
LABEL maintainer="automation-team@company.com"
|
|
LABEL description="Datacenter Documentation Chat Server"
|
|
|
|
# Install system dependencies
|
|
RUN apt-get update && apt-get install -y \
|
|
curl \
|
|
&& rm -rf /var/lib/apt/lists/*
|
|
|
|
WORKDIR /app
|
|
|
|
# Copy requirements from builder
|
|
COPY --from=builder /build/requirements.txt .
|
|
|
|
# Install Python dependencies
|
|
RUN pip install --no-cache-dir -r requirements.txt
|
|
|
|
# Copy application code and package definition
|
|
COPY src/ /app/src/
|
|
COPY config/ /app/config/
|
|
COPY pyproject.toml README.md /app/
|
|
|
|
# Install the package in editable mode
|
|
RUN pip install --no-cache-dir -e /app
|
|
|
|
# Create necessary directories
|
|
RUN mkdir -p /app/logs
|
|
|
|
# Create non-root user
|
|
RUN useradd -m -u 1000 appuser && \
|
|
chown -R appuser:appuser /app
|
|
|
|
USER appuser
|
|
|
|
# Expose chat port
|
|
EXPOSE 8001
|
|
|
|
# Health check
|
|
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
|
|
CMD curl -f http://localhost:8001/health || exit 1
|
|
|
|
# Run the chat server
|
|
CMD ["python", "-m", "datacenter_docs.chat.main"]
|