# ContextFS Local Client - All-in-One Dockerfile
# Includes: ChromaDB (vector store) + SQLite (metadata) + MCP Server
#
# This is the complete local ContextFS stack in a single container.
# Perfect for Windows/Docker users who want a simple setup.
#
# Ports:
# - 8003: MCP Server (SSE endpoint for Claude Code, Gemini, etc.)
# - 8000: ChromaDB (internal, can expose if needed)
#
# Data:
# - /data/context.db: SQLite database (memories, sessions, edges)
# - /data/chroma_db: ChromaDB vector store (embeddings)
#
# Usage:
# docker-compose --profile local up -d
# # or standalone:
# docker build -f docker/Dockerfile.mcp -t contextfs-local .
# docker run -d -p 8003:8003 -v contextfs_data:/data contextfs-local
FROM python:3.12-slim
# Set working directory
WORKDIR /app
# Install system dependencies including supervisor for process management
RUN apt-get update && apt-get install -y --no-install-recommends \
git \
supervisor \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy package files for installation
COPY pyproject.toml README.md ./
COPY src/contextfs /app/src/contextfs
# Install from pyproject.toml (fastembed is now default, no torch/NVIDIA)
RUN pip install --no-cache-dir -e "."
# Set Python path
ENV PYTHONPATH=/app/src:/app
# Create data directories
RUN mkdir -p /data/chroma_db /var/log/supervisor
# Default environment variables
ENV CONTEXTFS_DATA_DIR=/data
ENV CONTEXTFS_MCP_HOST=0.0.0.0
ENV CONTEXTFS_MCP_PORT=8003
# ChromaDB runs locally in the same container
ENV CONTEXTFS_CHROMA_HOST=127.0.0.1
ENV CONTEXTFS_CHROMA_PORT=8000
# Use fastembed (ONNX, CPU-only) for embeddings
ENV CONTEXTFS_EMBEDDING_BACKEND=fastembed
# Supervisor configuration to run both ChromaDB and MCP server
RUN cat > /etc/supervisor/conf.d/contextfs.conf << 'EOF'
[supervisord]
nodaemon=true
user=root
logfile=/var/log/supervisor/supervisord.log
pidfile=/var/run/supervisord.pid
[program:chromadb]
command=chroma run --path /data/chroma_db --host 0.0.0.0 --port 8000
directory=/app
autostart=true
autorestart=true
stderr_logfile=/var/log/supervisor/chromadb.err.log
stdout_logfile=/var/log/supervisor/chromadb.out.log
priority=10
[program:mcp]
command=python -m contextfs.mcp.fastmcp_server --host 0.0.0.0 --port 8003
directory=/app
autostart=true
autorestart=true
stderr_logfile=/var/log/supervisor/mcp.err.log
stdout_logfile=/var/log/supervisor/mcp.out.log
priority=20
startsecs=5
startretries=3
# Wait for ChromaDB to start
depends_on=chromadb
EOF
# Expose ports
EXPOSE 8003 8000
# Health check for MCP server
HEALTHCHECK --interval=30s --timeout=10s --start-period=15s --retries=3 \
CMD curl -sf http://localhost:8003/health || exit 1
# Run supervisor to manage both processes
CMD ["/usr/bin/supervisord", "-c", "/etc/supervisor/conf.d/contextfs.conf"]
