TudorandClaude Opus 4.8
3785f0c977
Build and Push Docker Images / Build Backend (FastAPI) (push) Successful in 53s
Build and Push Docker Images / Build Frontend (Next.js) (push) Successful in 56s
Build and Push Docker Images / Build Pipeline (Meltano + dbt + Airflow) (push) Successful in 2m0s
Build and Push Docker Images / Trigger Portainer Update (push) Successful in 1s
The standalone dbt Fusion binary (dbt-core 2.x) on PATH shadows the pip-installed classic dbt-postgres ~=1.10 and rejects the Postgres adapter (dbt1005), breaking every DAG's dbt_build task. Invoke dbt via `python -m dbt.cli.main` in the DAGs and the Dockerfile dbt deps step so the classic Postgres-capable engine is always used regardless of PATH. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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-ofsted \
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./plugins/extractors/tap-uk-parent-view \
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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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