# PURPOSE:
# Run KnowFlow AI in Docker for development and demo.
#
# SERVICES:
# 1. knowflow-dev
#    - JupyterLab development environment
#
# 2. knowflow-streamlit
#    - Future Streamlit app service for Phase 3
#
# docker compose makes local development repeatable.
# Recruiters can run the same project with the same commands.
# ============================================================
services:
  knowflow-dev:
    build:
      context: .
      dockerfile: Dockerfile

    container_name: knowflow-ai-dev

    ports:
      - "8888:8888"

    env_file:
      - .env

    environment:
      PYTHONPATH: /app
      STREAMLIT_SERVER_FILE_WATCHER_TYPE: none


    volumes:
      - .:/app

    command: >
      jupyter lab
      --ip=0.0.0.0
      --port=8888
      --no-browser
      --allow-root
      --NotebookApp.token=
      --NotebookApp.password=

    restart: unless-stopped


  knowflow-streamlit:
    build:
      context: .
      dockerfile: Dockerfile

    container_name: knowflow-ai-streamlit

    ports:
      - "8501:8501"

    env_file:
      - .env

    environment:
      PYTHONPATH: /app
      STREAMLIT_SERVER_FILE_WATCHER_TYPE: none


    volumes:
      - .:/app

    command: >
      streamlit run app/streamlit_app.py
      --server.address=0.0.0.0
      --server.port=8501

    restart: unless-stopped

    profiles:
      - streamlit