# Stage 1: Extract static assets from the Airflow image
FROM pangramia/ytdlp-ops-airflow:latest AS asset-extractor

# Switch to root to create and write to the /assets directory
USER root

# Create a temporary directory for extracted assets
WORKDIR /assets

# Copy static assets from the Airflow image.
# This dynamically finds the paths to flask_appbuilder and airflow static assets
# to be resilient to version changes.
RUN cp -R $(python -c 'import os, flask_appbuilder; print(os.path.join(os.path.dirname(flask_appbuilder.__file__), "static"))') ./appbuilder && \
    cp -R $(python -c 'import os, airflow; print(os.path.join(os.path.dirname(airflow.__file__), "www/static/dist"))') ./dist

# Pre-compress the static assets using gzip
# This improves performance by allowing Caddy to serve compressed files directly.
RUN find ./appbuilder -type f -print0 | xargs -0 gzip -k -9 && \
    find ./dist -type f -print0 | xargs -0 gzip -k -9


# Stage 2: Build the final Caddy image
FROM caddy:2-alpine

# Copy the pre-compressed static assets from the first stage
COPY --from=asset-extractor /assets/appbuilder /usr/share/caddy/static/appbuilder
COPY --from=asset-extractor /assets/dist /usr/share/caddy/static/dist

# Copy the Caddyfile configuration. The build context is the project root,
# so the path is relative to that.
COPY configs/Caddyfile /etc/caddy/Caddyfile

# Expose the port Caddy listens on
EXPOSE 8080