import '../models/habit.dart';

/// Output of LLM frame suggestion. Always L2/L3 — L0/L1 candidates are
/// discarded by [parseFrameCandidates] + `validateFrameLevel`.
class FrameCandidate {
  final FrameLevel level;
  final String framedText;
  final double confidence;
  final String? sourcePatternId;

  const FrameCandidate({
    required this.level,
    required this.framedText,
    this.confidence = 0.5,
    this.sourcePatternId,
  });

  @override
  bool operator ==(Object other) =>
      other is FrameCandidate &&
      other.level == level &&
      other.framedText == framedText &&
      other.confidence == confidence &&
      other.sourcePatternId == sourcePatternId;

  @override
  int get hashCode =>
      Object.hash(level, framedText, confidence, sourcePatternId);
}

/// Input bundle for [suggestFrame].
class SuggestFrameInput {
  final String rawText;
  final HabitType habitType;
  final String? anchorHint;

  const SuggestFrameInput({
    required this.rawText,
    required this.habitType,
    this.anchorHint,
  });
}