- Replace the aws-CLI subprocess calls with boto3 (list_objects_v2 paginator, get_object, copy_object+delete_object) using path-style addressing + RUSTFS_* env. Removes the external aws-CLI dependency so it runs in a slim container. - Add boto3 to pyproject dependencies. - Add Dockerfile (python:3.12-slim, deps, TZ=Africa/Nairobi, keep-alive CMD) and .dockerignore for Coolify; document Coolify Scheduled Task setup in README. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
25 lines
940 B
Docker
25 lines
940 B
Docker
# fleettickets — INC ingestion image (Coolify-deployable).
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# A small batch/cron worker: it has no web server. Coolify keeps the container
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# running (CMD below) and fires the ingest via a Scheduled Task:
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# python import_tickets.py --from-bucket --apply (cron: 15 7-19 * * *)
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# Env (set in Coolify): DATABASE_URL, RUSTFS_*, GEOCODER_*. S3 is via boto3 — no
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# aws CLI needed. psycopg2-binary ships its own libpq, so no build toolchain.
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FROM python:3.12-slim
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ENV PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=1 \
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TZ=Africa/Nairobi
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends tzdata \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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# Dependencies (mirror pyproject.toml) — separate layer for build caching.
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RUN pip install "psycopg2-binary>=2.9.9" "requests>=2.32.3" "boto3>=1.34"
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COPY . .
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# Keep the container alive so Coolify Scheduled Tasks can exec into it.
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CMD ["tail", "-f", "/dev/null"]
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