16bff634b5
A to-do app that doesn't believe you — an enforcement layer rather than a
neutral ledger.
Architecture ported from Autoreceptives/Frontend/Receptive: stacked MVVM with
the mandatory 4-file screen pattern, one ParentViewModel owning the loading /
network / error overlays and the handleError decision tree, one AppDataManager
gateway, dio comms carrying the three identity headers, secure storage with
random-suffixed keys, and a single-chokepoint Navigator. Package root and Dart
package name are both Grounded; org is nya.
The enforcement engine, one unit per formula in utils/:
- DebtEngine w(class) x severity(d) x decay(t), sublinear severity so old
misses cannot swamp the score; abandonment 2x with 30-day
decay immunity; late complete retains 30%
- StandingEngine Good -> Warned -> Grounded -> Lockdown, derived not set;
Grounded replaces home with the overdue queue
- CapacityEngine blocks over-scheduling against p50 of historically completed
minutes, with a learned per-category estimation multiplier
- IntegrityEngine session integrity, weekly volume, plyometric contact ceiling
and enforced recovery gaps
- ExcuseAnalyser on-device excuse clustering plus the confrontation copy
- GuardrailEngine distress detection and rationed amnesty
- ToneEngine all enforcement copy, so the tone cap lives in one place
CommitmentEvent is append-only and is the source of truth rather than the
status field, which is what makes honest history and excuse analysis possible.
Goals contain commitments via parentId, and a task can be run from a
full-screen runner that derives elapsed time from wall-clock so screen-off
cannot lose time. Backgrounding pauses the clock and is counted. The runner is
mirrored into an ongoing notification, with alarm-class full-screen intents
reserved for non-negotiables.
Design language, fonts, icon and native splash are in place; Mason bricks are
retargeted to this project and verified end-to-end.
flutter analyze lib/ reports no errors.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Mfu2gQLSFN21YRBcU2NrTt
77 lines
1.7 KiB
Dart
77 lines
1.7 KiB
Dart
class SetLog {
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String? id;
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String sessionLogId;
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String exerciseId;
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String exerciseName;
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String muscleGroup;
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int setNo;
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int reps;
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double loadKg;
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int timeSeconds;
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double rpe;
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/// False when the set was improvised rather than prescribed — this is what
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/// separates doing the session from doing something adjacent to it.
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bool isPrescribed;
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int contacts;
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SetLog({
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this.id,
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this.sessionLogId = "",
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this.exerciseId = "",
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this.exerciseName = "",
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this.muscleGroup = "",
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this.setNo = 0,
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this.reps = 0,
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this.loadKg = 0,
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this.timeSeconds = 0,
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this.rpe = 0,
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this.isPrescribed = true,
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this.contacts = 0,
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});
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factory SetLog.fromJson(Map<String, dynamic> json) {
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return SetLog(
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id: json['id'],
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sessionLogId: json['sessionLogId'] ?? "",
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exerciseId: json['exerciseId'] ?? "",
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exerciseName: json['exerciseName'] ?? "",
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muscleGroup: json['muscleGroup'] ?? "",
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setNo: json['setNo'] ?? 0,
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reps: json['reps'] ?? 0,
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loadKg: (json['loadKg'] ?? 0).toDouble(),
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timeSeconds: json['timeSeconds'] ?? 0,
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rpe: (json['rpe'] ?? 0).toDouble(),
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isPrescribed: json['isPrescribed'] ?? true,
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contacts: json['contacts'] ?? 0,
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);
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}
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Map<String, dynamic> toJson() {
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final Map<String, dynamic> data = <String, dynamic>{};
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data['id'] = id;
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data['sessionLogId'] = sessionLogId;
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data['exerciseId'] = exerciseId;
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data['exerciseName'] = exerciseName;
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data['muscleGroup'] = muscleGroup;
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data['setNo'] = setNo;
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data['reps'] = reps;
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data['loadKg'] = loadKg;
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data['timeSeconds'] = timeSeconds;
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data['rpe'] = rpe;
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data['isPrescribed'] = isPrescribed;
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data['contacts'] = contacts;
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return data;
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}
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}
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