qulab-infinite / Dockerfile
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πŸš€ QuLab MCP Server: Complete Experiment Taxonomy Deployment
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# Copyright (c) 2025 Joshua Hendricks Cole (DBA: Corporation of Light). All Rights Reserved. PATENT PENDING.
# QuLab AI Production Docker Image
FROM python:3.11-slim
LABEL maintainer="joshua@corporationoflight.com"
LABEL description="QuLabInfinite with QuLab AI Model Scaffold - Production Ready"
LABEL version="1.0.0"
# Set working directory
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
gcc \
g++ \
make \
libpq-dev \
&& rm -rf /var/lib/apt/lists/*
# Copy requirements
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt && \
pip install --no-cache-dir \
fastapi \
uvicorn[standard] \
pydantic \
psutil \
pint \
jcamp \
selfies \
ase \
biopython
# Copy application code
COPY . .
# Create logs directory
RUN mkdir -p /app/logs
# Expose API port
EXPOSE 7860
# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:7860/health')"
# Run API server
CMD ["python", "-m", "uvicorn", "api.production_api:app", "--host", "0.0.0.0", "--port", "7860"]