# Use the official Apache Airflow image as the base
FROM apache/airflow:2.2.2-python3.9

# Set up a new user named "user" with user ID 1000
# RUN useradd -m -u 1000 user


# Set the working directory
WORKDIR /opt/airflow

# Copy necessary files into the container
COPY --chown=user requirements.txt .
COPY --chown=user entrypoint.sh /entrypoint.sh
COPY --chown=user dags/ dags/
COPY --chown=user config/ config/

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt


# Set environment variables (if not using Render's built-in environment management)
ENV PATH=/home/user/.local/bin:$PATH

ENV AIRFLOW_HOME=/opt/airflow
ENV AIRFLOW__CORE__LOAD_EXAMPLES=False
ENV AIRFLOW__CORE__DAGS_FOLDER=/opt/airflow/dags


# Expose Airflow's webserver port
EXPOSE 8080

# Run the entrypoint script when the container starts
ENTRYPOINT ["/entrypoint.sh"]