docker-compose.yml

version: '3.8'

services:
  # The core Python/C++ pipeline engine
  engine:
    build:
      context: .
      dockerfile: Dockerfile
    ports:
      - "8000:8000"
    environment:
      - ENVIRONMENT=production
      - LOG_INGESTION_RATE=50000
    restart: unless-stopped

  # Visualizer Streamlit Frontend
  dashboard:
    image: python:3.10-slim
    volumes:
      - ./app_demo.py:/app/app_demo.py
    working_dir: /app
    ports:
      - "8501:8501"
    command: >
      sh -c "pip install streamlit pandas numpy && streamlit run app_demo.py --server.port=8501 --server.address=0.0.0.0"
    depends_on:
      - engine

  # Automated Mock Log Traffic Pipeline Injector
  simulator:
    image: python:3.10-slim
    volumes:
      - ./log_simulator.py:/app/log_simulator.py
    working_dir: /app
    command: >
      sh -c "pip install requests && python log_simulator.py"
    depends_on:
      - engine