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main took two direct PRs (#19 shell-lint, #21 the thermograph-daemon Go service) while dev accumulated the ERA5 lake stack; both sides added compose/ stack services and touched the same seams. Resolutions keep both worlds: - compose + Swarm stack: lake AND daemon are sibling services; backend env carries THERMOGRAPH_LAKE_URL and THERMOGRAPH_INTERNAL_TOKEN. - deploy.sh: backend deploys roll (backend lake daemon); all adds frontend. - requirements.txt: websockets/apscheduler stay removed (moved to the Go daemon), duckdb stays (the lake role's engine). Merged tree: backend suite green, both compose configs validate.
71 lines
3.1 KiB
Docker
71 lines
3.1 KiB
Docker
# Thermograph backend: FastAPI API + accounts/notifications + the SSR content
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# JSON API frontend consumes. Split from the monorepo (repo-split Stage 7).
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# thermograph-daemon (daemon/): the Go process that owns the Discord gateway
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# websocket and the recurring-job timers, calling back into this app's
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# /internal/* routes for anything that needs data. It is built INTO this image
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# on purpose: daemon and backend share the internal API contract, so shipping
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# one image (compose picks the process per-service) makes version skew between
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# them impossible. CGO_ENABLED=0 gives a fully static binary that drops into
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# the python:3.12-slim final stage with no runtime deps; go.mod/go.sum are
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# copied and downloaded before the sources so the Go dep layer caches across
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# daemon code-only changes, same reasoning as the pip layer below.
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FROM golang:1.26 AS daemon-builder
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WORKDIR /src
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COPY daemon/go.mod daemon/go.sum ./
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RUN go mod download
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COPY daemon/ ./
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# -trimpath keeps the build reproducible (identical sources -> identical
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# binary), which is what lets the final stage's COPY layer cache-hit when only
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# Python code changed.
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RUN CGO_ENABLED=0 go build -trimpath -o /out/thermograph-daemon .
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FROM python:3.12-slim
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# curl is only for the container HEALTHCHECK below. Everything Python needs
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# ships as manylinux wheels (asyncpg, psycopg[binary], polars, numpy,
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# cryptography via pywebpush, PyNaCl), so no compiler/build toolchain is
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# required.
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RUN apt-get update \
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&& apt-get install -y --no-install-recommends curl \
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&& rm -rf /var/lib/apt/lists/*
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# Install deps first so this layer caches across code-only changes.
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COPY requirements.txt /tmp/requirements.txt
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RUN pip install --no-cache-dir -r /tmp/requirements.txt
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# Bake DuckDB's httpfs extension so the lake role's S3 reads need no runtime
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# extension download (tasks may roll while egress is degraded).
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RUN python -c "import duckdb; duckdb.connect().execute('INSTALL httpfs')"
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# The daemon binary lands before the app tree: it changes far less often than
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# the Python code, so this layer usually cache-hits and only the COPY below
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# rebuilds. NOT the entrypoint — deploy/entrypoint.sh stays that; compose
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# selects this binary per-service for the daemon container.
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COPY --from=daemon-builder /out/thermograph-daemon /usr/local/bin/thermograph-daemon
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COPY . /app/
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RUN chmod +x /app/deploy/entrypoint.sh
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# Non-root runtime user. Create the writable state dirs and own the whole tree
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# so the parquet cache, logs, notifier.lock, homepage.json, vapid.json can be
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# written. When the named volumes first mount over /app/data and /app/logs,
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# Docker seeds them from this image content -- including this ownership --
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# so they stay writable.
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RUN useradd --system --create-home --uid 10001 thermograph \
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&& mkdir -p /app/data /app/logs /state \
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&& chown -R thermograph:thermograph /app /state
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USER thermograph
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WORKDIR /app
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ENV PORT=8137 \
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WORKERS=4 \
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THERMOGRAPH_BASE=/ \
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PYTHONUNBUFFERED=1
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EXPOSE 8137
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HEALTHCHECK --interval=30s --timeout=5s --start-period=40s --retries=3 \
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CMD curl -fsS http://127.0.0.1:${PORT}/healthz || exit 1
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ENTRYPOINT ["/app/deploy/entrypoint.sh"]
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