Dart port of the Python manual-workout model so the phone can build the same
signed-on-ingest sync payload the PC form produces.
- lib/models/manual_workout.dart: ManualWorkoutDraft (mirrors the Python
dataclass), validateManualWorkout (ports validate_manual_workout: required
fields, HH:MM end-after-start, min duration, RPE range, per-sport rules,
reflection length), buildEntry/buildSyncPayload (byte-for-byte equivalent of
the Python build_entry + kind/date), manualSyncRecordId, buildManualRecord.
The MANUAL_WORKOUT_* constants are inlined here (a const-only file has no
coverable lines and trips the 100%-coverage file-presence guard), replacing
models/manual_workout_constants.dart.
- test/models/manual_workout_test.dart: the cross-language wire fixture (an
identical literal to test_manual_workout.py::TestSyncWireFormat — this catches
key-name/format drift between the two serializers) plus full validation
coverage. 29 tests; manual_workout.dart is 100% covered.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PM3auNTifaVgcXWDizZrjH
First phase of syncing phone-logged manual/off-app workouts to the PC so they
count toward the unlock. This phase only establishes the cross-language wire
contract; no behavior change to existing flows.
- _manual_workout.py: build_sync_payload(draft, date) = build_entry fields +
a `kind="manual_workout"` discriminator + the workout's own `date`; and
manual_sync_record_id(date, start) -> stable `manual:<date>T<HH:MM>` id.
A StrongLifts session payload has no `kind`, so an ingesting PC can route on
it and never mistake a manual for a verified session.
- test_manual_workout.py: TestSyncWireFormat pins the exact literal payload as
the cross-language contract (the Dart workout_app test will reproduce the
same literal byte-for-byte; neither side's own round-trip test catches drift
from the other).
- workout_app/lib/models/manual_workout_constants.dart: hand-maintained mirror
of the 7 MANUAL_WORKOUT_* constants + the kind value (Python stays source of
truth; the shared fixture is the drift tripwire).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PM3auNTifaVgcXWDizZrjH
- Add sqflite_common_ffi + very_good_analysis; tighten analysis_options
- Add BackupService for JSON export/import of exercise state
- Add full test coverage: models, screens, services, widgets
- Add scripts/check_flutter_coverage.sh to enforce 100% line coverage
- Add docstrings to ExerciseState fields and storage service
- Minor fixes across screens, widgets, and sync/HTTP services
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01VuiPt6GPWkxpLbJFrnfy8U
- Remove automatic rest timer after each set
- Add inline threshold controls (success/fail streaks) on each exercise card
during an active workout
- Settings: auto-save on change with 600 ms debounce; replace Save button
with Reset to defaults
- Fix weight display asymmetry in settings (fixed 72 px width, centred)
- Progress screen (renamed from History): per-exercise view shows streak
counters, weight chart (kg Y-axis, date X-axis, rolling-2 avg for total
volume), exercise-filtered calendar, and per-exercise session tiles
- Total view shows rolling-2-session average volume chart + full calendar
+ all-session list
- Add WorkoutCalendar widget with monthly navigation
- Store warmupDone in ExerciseResult JSON; surface warmup per session tile
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Full-featured workout tracker with session persistence, auto A/B cycling,
warmup weights (4/5 of target), settings weight stepper, history + progress
graph, HTTP sync server, and crash-safe active session resume.
Removed per-set break timers per user preference. Dropped audioplayers and
vibration dependencies; updated permission_handler to 12.x to eliminate
two of three KGP build warnings (shared_preferences_android is an upstream issue).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
