Fix bugs across app + server, optimize UI/UX, add Gitea CI
Bug fixes (Flutter): - Wrap multi-statement DB writes (insert/update/delete note, deleteDocument, deletePageData, OCR FTS merge, migrations) in transactions to prevent data loss on interruption and a read-modify-write FTS race. - Fix PdfDocument leaks on exception (try/finally dispose) and preserve image aspect ratio when stamping images onto PDF pages. - Guard file-picker against empty selection (was .single -> crash). - Fix eraser ConcurrentModificationError and unmodifiable-list crash on PDF pages; capture page synchronously on save to stop wrong-page data loss. - Fix Riverpod DB-not-ready races, broken pull-to-refresh, settings load race, and search N+1; transform stored annotations on PDF page rotation. - Normalize pen pressure for devices without a pressure range. - PPT: single source of truth for slide strokes so ink displays and exports. UI/UX: - Material 3 typography, theme-aware colors (dark-mode fixes), hover cursors and right-click/visible actions on desktop, keyboard shortcuts (undo/redo/ save/find), toolbar overflow handling, friendlier empty states, semantic OCR status badges, relative timestamps, 1-based page indicators, large-deck PPT navigation, and a scratchpad-scope label in split view. Server (optional backend): - Persist JWT secret (was per-process random), block path traversal in storage, fix CORS '*'+credentials, add OCR job ownership checks, last-writer-wins sync guard, constant-time login, and split out heavy OCR deps so the API/tests run without them. CI: Gitea workflows for format+analyze+test (Linux, system sqlite) and a Windows release build; pristine `flutter analyze`, all Flutter and server tests green. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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lib/services/ocr_engine.dart
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21
lib/services/ocr_engine.dart
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import 'dart:io';
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import 'package:flutter/services.dart';
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/// Platform OCR backend. Uses Windows built-in OCR on desktop Windows.
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class OcrEngine {
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static const _channel = MethodChannel('badnote/ocr');
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/// Recognize text from a PNG image. Returns null when unavailable or empty.
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static Future<String?> recognizeImage(Uint8List pngBytes) async {
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if (!Platform.isWindows) return null;
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try {
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final result = await _channel.invokeMethod<String>('recognize', pngBytes);
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final text = result?.trim();
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if (text == null || text.isEmpty) return null;
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return text;
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} catch (_) {
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return null;
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}
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}
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}
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