docker-compose.airflow.yml

# Local Apache Airflow (recommended on Windows; upstream Airflow is not supported on native Windows).
#
# From the repository root:
#   docker compose -f docker-compose.airflow.yml up
#
# UI: http://localhost:8080  (first `standalone` boot prints admin credentials in the container logs.)
#
# The repo is mounted at /opt/project so dbt reads the same delta_lake/ and pspl.duckdb as on the host.
# The weekly full PySpark pipeline DAG is disabled in this profile (set PORTFOLIO_INCLUDE_FULL_PIPELINE_DAG=true
# only if you extend the image with Java, Spark, and Make).

services:
  airflow:
    image: apache/airflow:2.10.4-python3.11
    environment:
      PORTFOLIO_REPO_ROOT: /opt/project
      PORTFOLIO_INCLUDE_FULL_PIPELINE_DAG: "false"
      AIRFLOW_HOME: /opt/project/airflow/airflow_home
      AIRFLOW__CORE__DAGS_FOLDER: /opt/project/airflow/dags
      AIRFLOW__CORE__LOAD_EXAMPLES: "false"
      AIRFLOW__LOGGING__CREATE_LATEST_LOG_LINK: "false"
      _PIP_ADDITIONAL_REQUIREMENTS: >-
        dbt-core==1.8.4 dbt-duckdb==1.8.1 duckdb==1.5.2 pandas==2.2.2 pyarrow==16.1.0
    volumes:
      - .:/opt/project
    ports:
      - "8080:8080"
    working_dir: /opt/project
    command: standalone
    user: "${AIRFLOW_UID:-50000}:0"