Ground the 21-day habit myth in actual research (Lally et al. 2010) and let users pick a target period (21/66/254 days or unlimited) matching that study's easy/median/hard automaticity timelines when creating a habit, with progress shown on the habits list. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
from datetime import date
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from app.models.habit import ALL_WEEKDAYS_MASK, HABIT_DIFFICULTY_TARGET_DAYS, Habit, HabitDifficulty
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from app.services.log_service import MILESTONE_STREAKS
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_DAY_LABELS = ["월", "화", "수", "목", "금", "토", "일"]
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_DIFFICULTY_LABELS: dict[HabitDifficulty, str] = {
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HabitDifficulty.EASY: "하 (21일)",
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HabitDifficulty.MEDIUM: "중 (66일)",
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HabitDifficulty.HARD: "상 (254일)",
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HabitDifficulty.UNLIMITED: "기간 무제한",
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}
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def is_milestone_streak(streak: int) -> bool:
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return streak in MILESTONE_STREAKS
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def weekday_label(mask: int) -> str:
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if mask == ALL_WEEKDAYS_MASK:
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return "매일"
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days = [label for i, label in enumerate(_DAY_LABELS) if mask & (1 << i)]
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return ", ".join(days) if days else "선택된 요일 없음"
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def difficulty_label(difficulty: HabitDifficulty) -> str:
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return _DIFFICULTY_LABELS[difficulty]
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def goal_progress(habit: Habit) -> dict | None:
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"""습관의 목표 기간 진행 상황. 기간 무제한(UNLIMITED)이면 None."""
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target_days = HABIT_DIFFICULTY_TARGET_DAYS[habit.difficulty]
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if target_days is None:
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return None
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elapsed = (date.today() - habit.created_at.date()).days + 1 # 시작일을 1일차로 계산
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elapsed = max(elapsed, 1)
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return {
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"elapsed": min(elapsed, target_days),
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"target": target_days,
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"remaining": max(target_days - elapsed, 0),
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"reached": elapsed >= target_days,
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}
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def heatmap_opacity(checked_count: int, scheduled_count: int) -> float:
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"""월별 캘린더 히트맵 셀의 배경 투명도(0~0.9)를 계산한다."""
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if not scheduled_count:
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return 0.0
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ratio = checked_count / scheduled_count
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if ratio <= 0:
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return 0.0
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return round(0.12 + ratio * 0.78, 2)
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