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>
This commit is contained in:
103
windows/runner/ocr_channel.cpp
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103
windows/runner/ocr_channel.cpp
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#include "ocr_channel.h"
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#include <flutter/encodable_value.h>
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#include <flutter/method_channel.h>
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#include <flutter/standard_method_codec.h>
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#include <memory>
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#include <string>
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#include <vector>
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#include <winrt/Windows.Foundation.h>
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#include <winrt/Windows.Graphics.Imaging.h>
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#include <winrt/Windows.Media.Ocr.h>
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#include <winrt/Windows.Storage.Streams.h>
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#include <winrt/base.h>
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namespace {
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std::vector<uint8_t> ExtractBytes(const flutter::EncodableValue& value) {
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if (const auto* bytes = std::get_if<std::vector<uint8_t>>(&value)) {
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return *bytes;
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}
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if (const auto* list = std::get_if<flutter::EncodableList>(&value)) {
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std::vector<uint8_t> out;
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out.reserve(list->size());
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for (const auto& item : *list) {
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if (const auto* i = std::get_if<int32_t>(&item)) {
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out.push_back(static_cast<uint8_t>(*i));
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}
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}
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return out;
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}
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return {};
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}
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std::string RecognizePng(const std::vector<uint8_t>& bytes) {
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if (bytes.empty()) {
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return {};
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}
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using namespace winrt;
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using namespace Windows::Storage::Streams;
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using namespace Windows::Graphics::Imaging;
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using namespace Windows::Media::Ocr;
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InMemoryRandomAccessStream stream;
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{
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DataWriter writer{stream};
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writer.WriteBytes(bytes);
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writer.StoreAsync().get();
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writer.DetachStream();
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}
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stream.Seek(0);
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BitmapDecoder decoder = BitmapDecoder::CreateAsync(stream).get();
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SoftwareBitmap bitmap = decoder.GetSoftwareBitmapAsync().get();
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OcrEngine engine = OcrEngine::TryCreateFromUserProfileLanguages();
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if (!engine) {
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return {};
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}
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OcrResult result = engine.RecognizeAsync(bitmap).get();
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return winrt::to_string(result.Text());
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}
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std::unique_ptr<flutter::MethodChannel<flutter::EncodableValue>> g_ocr_channel;
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} // namespace
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void RegisterOcrChannel(flutter::FlutterEngine* engine) {
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winrt::init_apartment();
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g_ocr_channel =
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std::make_unique<flutter::MethodChannel<flutter::EncodableValue>>(
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engine->messenger(), "badnote/ocr",
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&flutter::StandardMethodCodec::GetInstance());
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g_ocr_channel->SetMethodCallHandler(
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[](const flutter::MethodCall<flutter::EncodableValue>& call,
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std::unique_ptr<flutter::MethodResult<flutter::EncodableValue>>
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result) {
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if (call.method_name() != "recognize") {
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result->NotImplemented();
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return;
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}
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if (!call.arguments()) {
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result->Error("invalid_args", "Expected PNG byte data");
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return;
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}
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try {
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const auto png_bytes = ExtractBytes(*call.arguments());
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const auto text = RecognizePng(png_bytes);
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result->Success(flutter::EncodableValue(text));
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} catch (const winrt::hresult_error& error) {
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result->Error("ocr_failed", winrt::to_string(error.message()));
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} catch (...) {
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result->Error("ocr_failed", "Unknown OCR error");
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}
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});
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}
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