vital_solver 0.11.3

Pure-Dart nutritional solver. Coordinate-descent optimizer with quality rules (V22b sweet-batch cascade, fruit/fat/carb bounds, whey rescue) and pre-solve report aggregation. No Firebase, no FlutterFl [...]

example/vital_solver_example.dart

// example/vital_solver_example.dart
//
// Minimal end-to-end demo of the public API. Run with:
//
//   dart run example/vital_solver_example.dart
//
// The example builds a simple meal (chicken + rice + olive oil), runs the
// full pipeline (quality rules + optimizer + post-solve corrections), and
// then runs the pre-solve report builder so you can see both shapes.

// ignore_for_file: avoid_print
// `print` is conventional for example files. Production code uses logging.

import 'package:vital_solver/vital_solver.dart';

void main() {
  // Each row is a legacy-shape `Map<String, dynamic>` matching what the
  // FlutterFlow shim builds from Firestore documents. The package never
  // touches Firestore — it just consumes maps.
  final rows = <Map<String, dynamic>>[
    _row(id: 'chicken', name: 'poulet', p: 23, c: 0, l: 3, role: 'protein_main'),
    _row(
      id: 'rice',
      name: 'riz',
      p: 7,
      c: 28,
      l: 0.5,
      fiber: 0.4,
      role: 'carb_main',
    ),
    _row(
      id: 'oil',
      name: 'huile olive',
      p: 0,
      c: 0,
      l: 100,
      role: 'fat',
    ),
  ];

  final targets = <String, dynamic>{
    'P': 30.0,
    'C': 40.0,
    'L': 12.0,
    'FiMin': 5.0,
  };
  final options = <String, dynamic>{};

  // ────────────────────────────────────────────────────────────────────
  // 1) Run the full solve pipeline.
  // ────────────────────────────────────────────────────────────────────
  final pipelineResult = solvePipeline(
    rows: rows,
    targets: targets,
    options: options,
  );

  final solver = pipelineResult.solverOutput;
  final ok = solver['constraintsOk'] == true;
  final totals = solver['totals'] as Map;
  final gramsById = solver['gramsById'] as Map;

  print('--- Pipeline result ---');
  print('  constraintsOk: $ok');
  print('  totals:        $totals');
  print('  gramsById:     $gramsById');

  // ────────────────────────────────────────────────────────────────────
  // 2) Build the pre-solve report (warnings / blocking / suggestions).
  // ────────────────────────────────────────────────────────────────────
  final report = buildPreSolveReport(
    rows: rows,
    targets: targets,
    options: options,
  );

  print('\n--- Pre-solve report ---');
  print('  okToCreate:       ${report.okToCreate}');
  print('  status:           ${report.status}');
  print('  title:            ${report.title}');
  print('  message:          ${report.message}');
  print('  blockingReasons:  ${report.blockingReasons.length}');
  print('  warnings:         ${report.warnings.length}');
  print('  suggestions:      ${report.suggestions.length}');
}

Map<String, dynamic> _row({
  required String id,
  required String name,
  required double p,
  required double c,
  required double l,
  double fiber = 0.0,
  double sugars = 0.0,
  double grams = 100.0,
  String? role,
}) {
  return <String, dynamic>{
    'id': id,
    'rowId': id,
    'name': name,
    'proteinPer100g': p,
    'carbsPer100g': c,
    'totalCarbsPer100g': c,
    'fatPer100g': l,
    'fiberPer100g': fiber,
    'sugarsPer100g': sugars,
    'grams': grams,
    'defaultG': grams,
    'minG': 0.0,
    'maxG': 500.0,
    if (role != null) 'resolvedMealUiRole': role,
    'role': 'variable',
  };
}