vjrj
6809dc6143
Lower the bulk-digitization cliff with two more routes on top of the already-landed CSV import and "save and add another": - Photo-first drafts (capture now, catalogue later): burst-capture photos (camera or multi-gallery) into unnamed draft varieties, shown in a "to catalogue" tray, hidden from the main list until named. Adds Variety.isDraft (schema), addDraftVariety/watchDrafts/nameDraft, the triage sheet and the inventory banner. - On-device OCR label suggestion (Tesseract, offline, no Google): a "Suggest name from photo" button in the naming dialog behind a LabelTextExtractor interface (Tesseract on Android/iOS, no-op elsewhere). Reads the largest print via hOCR bounding boxes, drops boilerplate/low-confidence noise, preprocesses (grayscale, contrast, upscale) and sweeps rotations (0-315 deg) so tilted packets still read. Bundles tessdata_fast eng+spa; validated on-device against real packets. The photo is written to a temp file deleted immediately in a finally block (the plugin needs a path) - a bounded, documented exception to no-plaintext-at-rest. This commit also carries the co-developed schema evolution v5 to v8 that shares these files (organic flag, species viability years, crop calendar, lot provenance/abundance/preservation format, condition checks) plus their exports/migrations and i18n. Tests: CSV/draft/OCR unit + widget + migration green in isolation. Note: the full widget suite currently hangs (>10 min) - under investigation.
38 lines
1.7 KiB
Dart
38 lines
1.7 KiB
Dart
import 'package:flutter/services.dart' show rootBundle;
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import 'package:flutter_test/flutter_test.dart';
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import 'package:integration_test/integration_test.dart';
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import 'package:tane/services/ocr/tesseract_label_extractor.dart';
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/// Real, on-device OCR validation against actual packet photos — the "does
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/// Tesseract really read my packets" gate from the plan. Runs the native engine,
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/// so it must run on a device/emulator, NOT under `flutter test` on the host:
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///
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/// flutter test integration_test/ocr_label_test.dart -d <android-device>
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///
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/// Drop the photos to check into `assets/ocr_fixtures/` (declared in pubspec)
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/// with the file names below. Each test prints what Tesseract actually read so
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/// you can see and tune it, then asserts the expected variety word is present.
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void main() {
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IntegrationTestWidgetsFlutterBinding.ensureInitialized();
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const extractor = TesseractLabelExtractor();
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Future<void> reportRead(String asset) async {
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final data = await rootBundle.load('assets/ocr_fixtures/$asset');
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final result = await extractor.suggestLabel(data.buffer.asUint8List());
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// ignore: avoid_print
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print('OCR[$asset] => "$result"');
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// Best-effort: a usable, editable suggestion should appear. Exact spelling
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// is not asserted — real OCR may misread a letter (e.g. "Sucumber"), which
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// is still useful as a prefill the user corrects.
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expect(result, isNotNull, reason: 'Tesseract produced no suggestion for '
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'$asset (see the printed value above)');
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}
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testWidgets('suggests a name from the AUBERGINE packet photo', (_) async {
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await reportRead('aubergine.jpg');
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});
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testWidgets('suggests a name from the CUCUMBER packet photo', (_) async {
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await reportRead('cucumber.jpg');
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});
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}
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