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
92 lines
2.4 KiB
Dart
92 lines
2.4 KiB
Dart
import '../../internal/application/ProgressionRule.dart';
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class ExercisePrescription {
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String? id;
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String sessionTemplateId;
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String exerciseId;
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String exerciseName;
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/// Primary muscle group, for weekly volume tracking.
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String muscleGroup;
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int sets;
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int targetReps;
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/// For timed holds and intervals; 0 when the work is rep-based.
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int targetTimeSeconds;
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int restSeconds;
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/// Eccentric-pause-concentric-pause, e.g. "3010".
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String tempo;
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ProgressionRule progressionRule;
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/// Ground contacts per set, for the plyometric weekly ceiling.
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int contactsPerSet;
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/// Whether this is a hard exercise for integrity scoring. Derived from
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/// historical RPE rather than set statically.
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bool hard;
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ExercisePrescription({
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this.id,
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this.sessionTemplateId = "",
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this.exerciseId = "",
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this.exerciseName = "",
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this.muscleGroup = "",
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this.sets = 0,
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this.targetReps = 0,
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this.targetTimeSeconds = 0,
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this.restSeconds = 0,
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this.tempo = "",
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this.progressionRule = ProgressionRule.Reps,
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this.contactsPerSet = 0,
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this.hard = false,
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});
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factory ExercisePrescription.fromJson(Map<String, dynamic> json) {
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return ExercisePrescription(
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id: json['id'],
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sessionTemplateId: json['sessionTemplateId'] ?? "",
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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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sets: json['sets'] ?? 0,
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targetReps: json['targetReps'] ?? 0,
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targetTimeSeconds: json['targetTimeSeconds'] ?? 0,
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restSeconds: json['restSeconds'] ?? 0,
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tempo: json['tempo'] ?? "",
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progressionRule: getProgressionRule(json['progressionRule']),
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contactsPerSet: json['contactsPerSet'] ?? 0,
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hard: json['hard'] ?? false,
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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['sessionTemplateId'] = sessionTemplateId;
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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['sets'] = sets;
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data['targetReps'] = targetReps;
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data['targetTimeSeconds'] = targetTimeSeconds;
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data['restSeconds'] = restSeconds;
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data['tempo'] = tempo;
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data['progressionRule'] = progressionRule.name;
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data['contactsPerSet'] = contactsPerSet;
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data['hard'] = hard;
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return data;
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}
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int get plannedContacts {
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return contactsPerSet * sets;
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}
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}
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