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# Fuel Tax Tracker
A Flutter app (Android + iOS) for logging fuel purchases per vehicle. Snap a
photo of a gas receipt, it OCRs the gallons/price-per-gallon/total on-device,
you confirm or correct the numbers, and it's saved alongside the receipt
photo to a data file in a folder you choose.
## Features
- Manage a list of vehicles (make, model, color, license plate).
- Capture a fuel receipt photo per vehicle and OCR it on-device with Google
ML Kit — no internet connection or API key required.
- Review/edit the parsed gallons, price per gallon, and total cost before
saving (OCR on printed receipts is usually good but not perfect).
- Per-vehicle fuel log with running gallons total, tap-to-zoom receipt
photos, and delete.
- Settings screen to choose where receipt photos and the data file are
stored (defaults to the app's own documents folder; existing data is
copied over when you change it).
## Project layout
```
lib/
models/ Vehicle, FuelEntry — plain data classes with JSON (de)serialization
services/
app_state.dart In-memory state + CRUD, backed by StorageService, exposed via Provider
storage_service.dart Owns the data.json file + receipts/ folder and the configurable save path
ocr_service.dart Thin wrapper around google_mlkit_text_recognition
receipt_parser.dart Regex-based extraction of gallons/price/total from OCR text
screens/ One file per screen (vehicle list, add/edit vehicle, vehicle detail,
confirm fuel entry, receipt viewer, settings)
```
Data is stored as a single `fuel_tax_data.json` file plus a `receipts/`
subfolder of photos, both inside whatever directory Settings points at.
## Running it
```
flutter pub get
flutter run # with a device/emulator connected or a simulator booted
```
To build release artifacts:
```
flutter build apk --release # Android
flutter build ios --release # iOS (requires a full Xcode install + signing setup)
```
This was scaffolded and verified with Flutter 3.44.9. `flutter analyze` and
`flutter test` are clean, and `flutter build apk --debug` has been confirmed
to produce a working APK.
## Permissions
- **Camera**: `NSCameraUsageDescription` (iOS, `ios/Runner/Info.plist`) and
`android.permission.CAMERA` (Android, `AndroidManifest.xml`) are already
set up for receipt capture.
- **Storage**: no explicit storage permission is declared. The default save
location is inside the app's own sandbox (no permission needed). If you
point Settings at a location outside the sandbox, the OS-native folder
picker (via `file_picker`) is what grants access — see the caveat below.
## Known caveats / things to revisit
- **`file_picker` is pinned to `10.3.10`**, not the latest release. Versions
11.0.0–11.0.3 skip applying the Kotlin Gradle plugin when they detect AGP
9+ (assuming AGP's built-in Kotlin support handles it), but that isn't
actually wired up for library modules in this Flutter/AGP combination yet,
so the plugin's own Kotlin sources never get compiled and the build fails
with `cannot find symbol: FilePickerPlugin`. 10.3.11 fixes that but is
retracted on pub.dev, hence 10.3.10. Worth revisiting this pin next time
you bump dependencies — check the package's CHANGELOG for when this is
properly resolved upstream.
- **iOS folder picking and app restarts**: `file_picker`'s directory picker
on iOS uses `UIDocumentPickerViewController`, which hands back a
security-scoped URL. This app does not currently persist a security-scoped
bookmark for that URL, so if you pick a folder outside the app's own
sandbox (e.g. an iCloud Drive folder) on iOS, continued write access after
an app restart is not guaranteed. Picking the default in-sandbox location,
or a folder on Android, does not have this limitation. If cross-restart
external storage on iOS matters for your use case, this needs a proper
bookmark implementation (`NSURL` bookmarkData + `startAccessingSecurityScopedResource`).
- **Receipt parsing is best-effort regex matching** on the OCR'd text
(`lib/services/receipt_parser.dart`), tuned against common receipt phrasing
("GALLONS", "PRICE/GAL", "PPG", "TOTAL", etc.). Unusual receipt layouts may
parse partially or not at all — the confirm screen always lets you fill in
or correct whatever wasn't found.
- No automated tests exercise the OCR or camera capture path itself (that
requires a real device/emulator with a camera); `receipt_parser_test.dart`
covers the parsing logic against fixed OCR text.