Initial commit: Grounded Flutter frontend
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
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# 🔐 Internal Memory Brick
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An advanced **Mason** brick designed for the **Autoreceptive** architecture. It automates the boilerplate for persistent local storage using `flutter_secure_storage` (via `autoreceptiveStorage`), handling JSON serialization for Objects and Lists, and raw storage for Strings.
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## 🚀 Purpose
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This brick eliminates the manual task of:
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1. Generating high-entropy, randomized secure keys.
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2. Writing `get` and `set` interfaces in `ConnectInternalMemory`.
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3. Implementing JSON encoding/decoding logic in `InternalMemory`.
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4. Wrapping calls in `AppDataManager` to maintain the **Repository Pattern**.
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---
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## 📂 Target Architecture
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The brick targets the following specific paths in your project:
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* **Interface**: `lib/Autoreceptive/memory/ConnectInternalMemory.dart`
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* **Implementation**: `lib/Autoreceptive/memory/InternalMemory.dart`
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* **Global Access**: `lib/Autoreceptive/informatics/AppDataManager.dart`
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---
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## 🛠 Installation
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### 1. Register the Brick
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From your project root, run:
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```bash
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mason add internal_memory --path ./bricks/internal_memory
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```
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### 2. Setup Hooks
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The brick uses specialized Dart hooks for smart code injection and auto-formatting.
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```bash
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cd bricks/internal_memory/hooks && dart pub get && cd ../../../
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mason get
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```
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---
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## 📖 Usage Guide
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Run the following command and follow the interactive prompts:
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```bash
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mason make internal_memory
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```
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### Variable Inputs:
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| Variable | Description | Example |
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| :--- | :--- | :--- |
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| `function_name` | The camelCase name of the feature. | `userProfile` or `orderLocations` |
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| `request_object` | The Dart type to store. | `MeDescription`, `String`, or `List<Location>` |
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---
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## 📋 Logic Breakdown
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### 1. High-Entropy Keys
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The brick generates a randomized `static const String` key at the **top** of the `InternalMemory` class to prevent key collisions and reverse-engineering:
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```dart
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static const String USER_PROFILE = "USER_PROFILE_x8H2_9kLp_mQz1";
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```
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### 2. Intelligent Type Handling
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The hook detects the `request_object` type and adjusts the logic:
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* **Standard Objects**: Uses `Type.fromJson(jsonDecode(s))` and `jsonEncode(data.toJson())`.
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* **Lists**: Uses `.map((item) => Type.fromJson(item)).toList()` for deep serialization.
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* **Strings**: Bypasses JSON logic for raw string storage.
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### 3. Smart Injection & Spacing
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* **Clean Pairs**: In the interface, the getter and setter are injected as a tight block with a double-newline buffer from the previous feature.
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* **Auto-Imports**: Automatically adds `import 'dart:convert';` and searches the `lib/` folder to find and add the correct model imports for your Objects.
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* **Formatting**: Automatically triggers `dart format` on the `Autoreceptive` folder after injection.
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---
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## ⚠️ Requirements
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* **`autoreceptiveStorage`**: The `InternalMemory` class must have an instance of your secure storage wrapper named `autoreceptiveStorage`.
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* **Model Factories**: For Objects and Lists, your models must implement:
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* `factory Model.fromJson(Map<String, dynamic> json)`
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* `Map<String, dynamic> toJson()`
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---
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## 🔄 Refreshing Logic
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If you update the `post_gen.dart` hook code, always run this to ensure Mason uses the latest version:
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```bash
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rm -rf .mason && mason get
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```
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---
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