TudorandClaude Opus 5
cd2cbe7be6
meltano install would resolve it from pip_url, but five of the six custom taps are also installed explicitly and a new plugin failing to appear is not something you want to debug from a deploy log. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BvdDKvFFSZuMVDH5fEyTob
44 lines
1.2 KiB
Docker
44 lines
1.2 KiB
Docker
FROM python:3.13-slim
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WORKDIR /opt/pipeline
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# System dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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gcc \
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libpq-dev \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Python dependencies
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Install custom Singer taps
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COPY plugins/ plugins/
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RUN pip install --no-cache-dir \
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./plugins/extractors/tap-uk-gias \
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./plugins/extractors/tap-uk-ees \
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./plugins/extractors/tap-uk-ees-destinations \
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./plugins/extractors/tap-uk-ofsted \
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./plugins/extractors/tap-uk-fbit \
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./plugins/extractors/tap-uk-idaci
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# Copy pipeline code
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COPY meltano.yml .
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COPY transform/ transform/
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COPY scripts/ scripts/
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COPY dags/ dags/
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# Initialize Meltano project (generates catalog, installs target-postgres)
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RUN meltano install
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# dbt deps — invoke via the Python module so the classic dbt-postgres engine
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# is used, not a standalone dbt Fusion binary that may shadow it on PATH.
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RUN cd transform && python -m dbt.cli.main deps --profiles-dir . 2>/dev/null || true
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ENV AIRFLOW_HOME=/opt/airflow
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ENV AIRFLOW__CORE__DAGS_FOLDER=/opt/pipeline/dags
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ENV PYTHONPATH=/opt/pipeline
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CMD ["airflow", "api-server"]
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