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
135 lines
3.8 KiB
Dart
135 lines
3.8 KiB
Dart
import '../about/external/data/Commitment.dart';
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import '../about/internal/application/CapacityProfile.dart';
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/// The result of a capacity check at plan time.
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class CapacityVerdict {
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/// Minutes the plan actually implies, after the estimation multipliers.
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double projectedMinutes;
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/// Minutes history says get done on this weekday, at p50.
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double historicalMinutes;
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/// The ceiling — historical minutes times the headroom factor.
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double allowedMinutes;
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bool blocked;
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/// Minutes that must come out of the plan before it will be accepted.
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double excessMinutes;
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String message;
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CapacityVerdict({
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this.projectedMinutes = 0,
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this.historicalMinutes = 0,
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this.allowedMinutes = 0,
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this.blocked = false,
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this.excessMinutes = 0,
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this.message = "",
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});
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}
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/// Chronic overdue is usually an overcommitment problem misdiagnosed as a
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/// laziness problem. This is the check that catches it.
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///
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/// ```
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/// projected_load = Sum (est_minutes x your_multiplier[category])
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/// if projected_load > 0.85 x p50(historical_completed_minutes[weekday]):
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/// block, and force removal
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/// ```
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class CapacityEngine {
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/// Plan against 85% of what you historically get done, not 100%.
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static const double headroom = 0.85;
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/// The plan as the app believes it, not as you estimated it. Your estimates
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/// are wrong and the multiplier is applied silently.
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static double projectedLoad(
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List<Commitment> plan,
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CapacityProfile profile,
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) {
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double total = 0;
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for (Commitment commitment in plan) {
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total =
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total + (commitment.estMinutes * profile.multiplierFor(commitment.category));
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}
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return total;
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}
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static CapacityVerdict check(
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List<Commitment> plan,
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CapacityProfile profile,
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int weekday,
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) {
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final double projected = projectedLoad(plan, profile);
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final double historical = profile.capacityFor(weekday);
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final double allowed = historical * headroom;
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// No history yet — the app has not earned the right to block anything.
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if (historical <= 0) {
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return CapacityVerdict(
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projectedMinutes: projected,
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historicalMinutes: 0,
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allowedMinutes: 0,
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blocked: false,
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message: "Not enough history yet to judge this plan.",
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);
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}
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if (projected <= allowed) {
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return CapacityVerdict(
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projectedMinutes: projected,
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historicalMinutes: historical,
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allowedMinutes: allowed,
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blocked: false,
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message: "This plan fits what you actually get done.",
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);
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}
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final double excess = projected - allowed;
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return CapacityVerdict(
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projectedMinutes: projected,
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historicalMinutes: historical,
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allowedMinutes: allowed,
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blocked: true,
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excessMinutes: excess,
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message:
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"You have allocated ${_hours(projected)} of tasks into a day where you historically complete ${_hours(historical)}. Cut ${_hours(excess)}.",
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);
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}
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/// The learned multiplier for a category, from what you said against what it
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/// took. Surfaced in the weekly review rather than hidden.
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static double learnMultiplier(
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List<double> estimatedMinutes,
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List<double> actualMinutes,
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) {
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if (estimatedMinutes.isEmpty ||
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estimatedMinutes.length != actualMinutes.length) {
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return 1.0;
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}
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double estimated = 0;
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double actual = 0;
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for (int index = 0; index < estimatedMinutes.length; index++) {
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estimated = estimated + estimatedMinutes[index];
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actual = actual + actualMinutes[index];
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}
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if (estimated <= 0) {
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return 1.0;
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}
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return actual / estimated;
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}
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static String _hours(double minutes) {
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if (minutes < 60) {
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return "${minutes.round()}min";
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}
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final double hours = minutes / 60;
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return "${hours.toStringAsFixed(1)}h";
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}
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}
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