# Dockerfile for Hugging Face Spaces - Streamlit App

FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first (for better caching)
COPY requirements.txt requirements.txt

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy entire project
COPY . .

# Create output directories with proper permissions
RUN mkdir -p /app/eda/output/graph_data && \
    mkdir -p /app/eda/output/checkpoints && \
    mkdir -p /app/eda/output/logs && \
    mkdir -p /app/output && \
    chmod -R 777 /app/eda/output && \
    chmod -R 777 /app/output && \
    touch /app/eda/probe_prompts.log && \
    chmod 666 /app/eda/probe_prompts.log

# Set environment variables for Streamlit
ENV STREAMLIT_SERVER_HEADLESS=true
ENV STREAMLIT_SERVER_FILE_WATCHER_TYPE=none
ENV STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
ENV HOME=/app

# Expose Streamlit port
EXPOSE 7860

# Health check
HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health

# Run Streamlit app directly from eda directory
WORKDIR /app/eda
ENTRYPOINT ["streamlit", "run", "app.py", \
    "--server.port=7860", \
    "--server.address=0.0.0.0", \
    "--server.enableXsrfProtection=false", \
    "--server.enableCORS=false", \
    "--server.maxUploadSize=200"]