# Dockerfile for MCP Summary Server
#
# Usage (from directory containing this Dockerfile and mcp_summary_server.py):
#
#   docker build -t mcp-summary .
#   docker run -p 8080:8080 --env-file .env mcp-summary
#

FROM python:3.12-slim

WORKDIR /app

# Install runtime dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt && rm requirements.txt

# Copy the server script
COPY mcp_summary_server.py /app/mcp_summary_server.py

# Expose HTTP port
EXPOSE 8080

# Environment variables
ENV PORT=8080
ENV OPENAPI_URL=http://localhost:8080/v1
ENV OPENAPI_API_KEY=
ENV MODEL_NAME=gpt-4o
ENV CHUNK_SIZE=4000
ENV OVERLAP=200
ENV TARGET_INTERMEDIATE_SUMMARY_LENGTH=150
ENV MAX_DIRECT_SUMMARY_LENGTH=100
ENV MAX_DIRECT_TEXT_LENGTH=8000
ENV LLM_TIMEOUT=120
ENV API_KEY=

# Start the MCP summary server
ENTRYPOINT ["python", "-u", "/app/mcp_summary_server.py"]