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Preprocessing now tries progressively heavier variants per receipt (plain -> high-pass -> edge-enhance -> both), stopping as soon as a cheap LLM-free arithmetic check on the OCR text looks plausible, so the extra processing only applies to receipts that need it. A flat version of the same heavier processing regressed the full batch by helping hard receipts but hurting easy ones; the adaptive version improves date-matching 37/52 -> 40/52 with no regression (see testing/2026_10_04_gimp_highpass_nlfilter_experiment.md). Also adds test_ocr.sh and test_single.sh for checking a single receipt's OCR text or full pipeline result without a batch run.
97 lines
3.5 KiB
Bash
Executable File
97 lines
3.5 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Test-only tool: runs the full container pipeline
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# (12_adaptive_preprocess_ocr.sh, 3_extract_data.sh) over every *.jpg in
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# a test-data directory, then compares the results against that
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# directory's ground-truth spreadsheet (benzin_kosten.ods). Everything -
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# preprocessing, OCR, structuring, and the comparison itself - runs
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# inside the tooling container; nothing here depends on a host Python
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# environment.
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#
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# For an input directory <path>/<name>, two sibling directories are
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# created (mirroring <path>/<name>):
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# <path>/<name>-scratch/<receipt>/ - intermediate step output: one
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# variant<N>/ subdir per
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# preprocessing variant tried
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# (01_gray.png, ..., 0X_final.png,
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# ocr.txt each) plus ocr.txt for
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# the winning variant, for
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# inspecting each step on its own
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# <path>/<name>-result/<receipt>/ - final extracted.json per receipt,
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# plus summary.txt with the overall
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# ground-truth comparison
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#
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# Usage: ./test_batch.sh -in <test-data-dir>
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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 "FAIL: $*" >&2; exit 1; }
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IN_DIR=""
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while [ $# -gt 0 ]; do
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case "$1" in
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-in) IN_DIR="${2:-}"; shift 2 ;;
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*) fail "unknown argument: $1" ;;
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esac
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done
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[ -n "$IN_DIR" ] || fail "usage: $0 -in <test-data-dir>"
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[ -d "$IN_DIR" ] || fail "input directory not found: $IN_DIR"
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IN_ABS="$(realpath "$IN_DIR")"
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ODS_PATH="$(find "$IN_ABS" -maxdepth 1 -name '*.ods' | head -n1)"
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[ -n "$ODS_PATH" ] || fail "no .ods ground-truth file found in $IN_ABS"
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PARENT_DIR="$(dirname "$IN_ABS")"
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BASE_NAME="$(basename "$IN_ABS")"
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SCRATCH_DIR="$PARENT_DIR/$BASE_NAME-scratch"
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RESULT_DIR="$PARENT_DIR/$BASE_NAME-result"
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mkdir -p "$SCRATCH_DIR" "$RESULT_DIR"
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shopt -s nullglob
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IMAGES=("$IN_ABS"/*.jpg)
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[ "${#IMAGES[@]}" -gt 0 ] || fail "no .jpg files found in $IN_ABS"
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echo "== Running pipeline over ${#IMAGES[@]} receipts =="
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for img in "${IMAGES[@]}"; do
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name="$(basename "${img%.jpg}")"
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receipt_scratch="$SCRATCH_DIR/$name"
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receipt_result="$RESULT_DIR/$name"
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mkdir -p "$receipt_scratch" "$receipt_result"
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echo "--- $name ---"
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./12_adaptive_preprocess_ocr.sh -in "$img" -out "$receipt_scratch" >/dev/null
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./3_extract_data.sh -in "$receipt_scratch/ocr.txt" -out "$receipt_result" >/dev/null
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done
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echo
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echo "== Comparing against ground truth =="
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IMAGE="${REGISTRY_IMAGE:-fuelish/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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IMAGE="$IMAGE:$VERSION"
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ODS_DIR="$(dirname "$ODS_PATH")"
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ODS_FILE="$(basename "$ODS_PATH")"
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GROUP_ADD_ARGS=(--group-add "$(stat -c %g "$ODS_DIR")")
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RESULT_GID="$(stat -c %g "$RESULT_DIR")"
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[ "$RESULT_GID" = "$(stat -c %g "$ODS_DIR")" ] || GROUP_ADD_ARGS+=(--group-add "$RESULT_GID")
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docker run --rm \
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--user "$(id -u):$(id -g)" \
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"${GROUP_ADD_ARGS[@]}" \
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-v "$ODS_DIR:/data/gt:ro" \
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-v "$RESULT_DIR:/data/results:ro" \
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"$IMAGE" \
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python3 /opt/app/src/compare_ground_truth.py -gt "/data/gt/$ODS_FILE" -results /data/results \
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| tee "$RESULT_DIR/summary.txt"
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echo
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echo "== Done =="
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echo "Intermediate step output: $SCRATCH_DIR/<receipt>/"
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echo "Final results + summary: $RESULT_DIR/<receipt>/, $RESULT_DIR/summary.txt"
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