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
58 lines
2.1 KiB
Dart
58 lines
2.1 KiB
Dart
/// What the user can realistically absorb, learned from history rather than
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/// asserted. Drives the capacity block at plan time.
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class CapacityProfile {
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/// p50 of historically completed minutes, keyed by weekday (1 = Monday).
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Map<int, double> completedMinutesByWeekday;
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/// Per-category estimation multiplier — you say 30min, you take 70min -> 2.3.
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Map<String, double> estimationMultipliers;
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CapacityProfile({
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Map<int, double>? completedMinutesByWeekday,
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Map<String, double>? estimationMultipliers,
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}) : completedMinutesByWeekday = completedMinutesByWeekday ?? <int, double>{},
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estimationMultipliers = estimationMultipliers ?? <String, double>{};
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factory CapacityProfile.fromJson(Map<String, dynamic> json) {
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final Map<int, double> minutes = <int, double>{};
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if (json['completedMinutesByWeekday'] != null) {
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(json['completedMinutesByWeekday'] as Map<String, dynamic>)
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.forEach((key, value) {
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minutes[int.tryParse(key) ?? 1] = (value ?? 0).toDouble();
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});
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}
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final Map<String, double> multipliers = <String, double>{};
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if (json['estimationMultipliers'] != null) {
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(json['estimationMultipliers'] as Map<String, dynamic>)
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.forEach((key, value) {
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multipliers[key] = (value ?? 1).toDouble();
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});
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}
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return CapacityProfile(
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completedMinutesByWeekday: minutes,
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estimationMultipliers: multipliers,
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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['completedMinutesByWeekday'] = completedMinutesByWeekday
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.map((key, value) => MapEntry(key.toString(), value));
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data['estimationMultipliers'] = estimationMultipliers;
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return data;
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}
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/// The learned multiplier for a category, defaulting to honest 1.0 until
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/// there is enough history to say otherwise.
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double multiplierFor(String category) {
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return estimationMultipliers[category] ?? 1.0;
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}
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/// The p50 of what actually gets done on this weekday.
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double capacityFor(int weekday) {
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return completedMinutesByWeekday[weekday] ?? 0;
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}
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}
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