import json from dataclasses import dataclass from datetime import datetime from models.HabitTrackings import HabitTrackings from db.SQLiteClient import update_slot, create_habit, get_habit, delete_habit, get_next_slot, \ get_habitTrackings_by_habit_id, get_slots, update_habit, get_habitList # Unit wird als Integers wie folgt gemessen: # 0: Tag # 1: Woche (Default) # 2: Monat # 3: Jahr @dataclass class Habit: id: int list_id: int name: str note: str times: int unit: int slot: int percentage: int = 0 def __post_init__(self): self.fill_statistics() @staticmethod def create(list_id: int, name: str, times: int, note: str | None = None, unit: int | None = 1): slot = get_next_slot(list_id) id = create_habit(list_id, name, times, unit, slot, note) return Habit(id, list_id, name, note, times, unit, slot) @staticmethod def get(id: int): habit = get_habit(id) habit = Habit(habit[0], habit[1], habit[2], habit[3], habit[4], habit[5], habit[6]) if habit else None return habit def update(self, name: str=None, note: str=None, times: int=None, unit: int=None): update_habit(self.id, name, note, times, unit) if name is not None: self.name = name if note is not None: self.note = note if times is not None: self.times = times if unit is not None: self.unit = unit def update_slot(self, new_slot: int): slots = get_slots(self.list_id) if new_slot > self.slot: slots = slots[self.slot:new_slot] for slot in slots: update_slot(slot[0], slot[1]-1) if new_slot < self.slot: slots = slots[new_slot-1:self.slot-1] for slot in slots: update_slot(slot[0], slot[1]+1) update_slot(self.id, new_slot) def delete(self): slots = get_slots(self.list_id)[self.slot+1:] for slot in slots: update_slot(slot[0], slot[1] - 1) delete_habit(self.id) def get_habitTrackings(self) -> list[HabitTrackings]: trackings = [] for rawTracking in get_habitTrackings_by_habit_id(self.id): trackings.append(HabitTrackings(rawTracking[0], rawTracking[1], datetime.strptime(rawTracking[2], "%Y-%m-%dT%H:%M:%S.%f"))) return trackings def getStreak(self): streak = 0 trackings = [] for rawTracking in get_habitTrackings_by_habit_id(self.id): trackings.append(HabitTrackings(datetime.strptime(rawTracking[2], "%Y-%m-%d"))) trackings.sort(reverse=True) if current_date == tracking[0]: streak += 1 for habitdate in trackings[1:]: future_date = habitdate - relativedelta(day=1) if future_date - habitdate == 0-0-1: streak + 1 future_date = habitdate - relativedelta(day=1) for habitdate in trackings: current_date = date.today() if current_date == habitdate or current_date == habitdate - relativedelta(day=1): streak += 1 future_date = habitdate - relativedelta(day=1) return streak def fill_statistics(self): count = 0 self.checked = False for tracking in self.get_habitTrackings(): if tracking.created_at.date() == datetime.today().date(): self.checked = True # day if self.unit == 0: if tracking.created_at.date() == datetime.today().date(): count += 1 # week elif self.unit == 1: if tracking.created_at.isocalendar()[1] == datetime.today().isocalendar()[1]: count += 1 # month elif self.unit == 2: if tracking.created_at.month == datetime.today().month: count += 1 # year elif self.unit == 3: if tracking.created_at.year == datetime.today().year: count += 1 self.percentage = int(count / self.times * 100) def to_json(self): return json.dumps(self, default=lambda o: o.__dict__, sort_keys=True, indent=4) def habit_list(self): from models.HabitList import HabitList raw_habitLists = get_habitList(self.list_id) return HabitList(raw_habitLists[0], raw_habitLists[1], raw_habitLists[2], datetime.strptime(raw_habitLists[3], "%Y-%m-%dT%H:%M:%S.%f"), datetime.strptime(raw_habitLists[4], "%Y-%m-%dT%H:%M:%S.%f")) \ if raw_habitLists else None