matthias
aae57d7a2b
date/time, price per litre, litres, discount, total) from German fuel receipt photos: grayscale + mild bilateral filter + contrast stretch, Tesseract OCR, then LLM structuring via a small local model (Qwen 2.5, served by Ollama). Each step is independently runnable and inspectable through numbered scripts against a shared tooling container.
35 lines
1.1 KiB
Bash
35 lines
1.1 KiB
Bash
#!/usr/bin/env bash
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# Builds the gastronomy tools image (tooling-container/Dockerfile) locally, tagged with
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# tooling-container/VERSION and :latest. Does not push - test it with the numbered
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# pipeline scripts first, then publish with ./upload-image.sh.
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set -euo pipefail
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cd "$(dirname "${BASH_SOURCE[0]}")"
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ROOT="$(pwd)"
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fail() { echo "PREFLIGHT FAIL: $*" >&2; exit 1; }
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command -v docker >/dev/null 2>&1 \
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|| fail "docker not found in PATH"
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IMAGE="${REGISTRY_IMAGE:-gastronomy/tools}"
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if [ -f "$ROOT/registry.env" ]; then
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# shellcheck disable=SC1091
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source "$ROOT/registry.env"
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IMAGE="${REGISTRY_IMAGE:-$IMAGE}"
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fi
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VERSION="$(<"$ROOT/tooling-container/VERSION")"
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[ -n "$VERSION" ] || fail "tooling-container/VERSION is empty"
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echo "== Building $IMAGE:$VERSION =="
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docker build \
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-f "$ROOT/tooling-container/Dockerfile" \
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-t "$IMAGE:$VERSION" \
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-t "$IMAGE:latest" \
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"$ROOT/tooling-container"
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echo "== Done =="
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echo "Image: $IMAGE:$VERSION (and :latest)"
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echo "Test it with the numbered pipeline scripts, then publish with ./upload-image.sh"
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