docker-compose.yml

services:
  dozzle:
    container_name: dozzle
    image: amir20/dozzle:latest
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    ports:
      - 9999:8080

  dlt_bigquery:
    build:
      context: ./dlt_bigquery # Directory containing Dockerfile and dlt file | BigQuery
      dockerfile: Dockerfile
    volumes:
      - ./dlt_bigquery/.dlt/secrets.toml:/app/.dlt/secrets.toml # Define your api keys & variables
      - ./dlt_bigquery/.dlt/config.toml:/app/.dlt/config.toml # Define logging
    command: ["python", "main.py"]
    networks:
      - elt_network

  # dlt_duckdb: # Use it in case you want to use DuckDB instead of BigQuery
  # build:
  #   context: ./dlt_duckdb # Directory containing Dockerfile and dlt file | DuckDB
  #   dockerfile: Dockerfile
  # volumes:
  #   - ./dlt_duckdb/.dlt/secrets.toml:/app/.dlt/secrets.toml # Define your api keys & variables
  #   - ./dlt_duckdb/.dlt/config.toml:/app/.dlt/config.toml # Define logging
  # command: ["python", "main.py"] # For clarity and flexibility
  # networks:
  #   - elt_network

  dbt:
    image: ghcr.io/dbt-labs/dbt-bigquery:1.7.7
    entrypoint: ["/bin/sh", "-c"]
    working_dir: /dbt
    command:
      [
        "ls -al /dbt && ls -al /keys && dbt deps && dbt run --profiles-dir /root/.dbt --project-dir /dbt",
      ]
    networks:
      - elt_network
    volumes:
      - ${DBT_FILE_PATH}:/keys
      - ./dbt_bigquery:/dbt
      - ~/.dbt:/root/.dbt
    depends_on:
      - dlt_bigquery
    environment:
      - DBT_PROFILE=default
      - DBT_TARGET=dev

networks:
  elt_network:
    driver: bridge