import json from dataclasses import dataclass from datetime import datetime from datetime import timedelta from models.HabitTracking import HabitTracking from db.SQLiteClient import (create_habit, get_habit, update_habit, delete_habit, get_next_slot, get_slots, update_slot, get_habitTrackings, get_habitList, update_habit_statistics) # unit will be represented by integers like this: # 0: day # 1: week (default) # 2: month # 3: year @dataclass class Habit: id: int list_id: int name: str note: str times: int unit: int slot: int checked: bool count: int streak: int percentage: int = 0 def __post_init__(self): self.load_statistics() @staticmethod def create(list_id: int, name: str, times: int, note: str = None, unit: int = 1, checked: bool = False, count: int = 0, streak: int = 0): slot = get_next_slot(list_id) id = create_habit(list_id, name, note, times, unit, slot, checked, count, streak) return Habit(id, list_id, name, note, times, unit, slot, checked, count, streak) @staticmethod def get(id: int): habit = get_habit(id) return Habit(habit[0], habit[1], habit[2], habit[3], habit[4], habit[5], habit[6], habit[7], habit[8], habit[9]) if habit else None # Updates: name, note, times, unit def update(self): update_habit(self.id, self.name, self.note, self.times, self.unit) # Updates the slot and reorders the HabitList accordingly def update_slot(self, new_slot: int): # Fetches a list with the following structure [(id, slot), (id, slot), ...] slots = get_slots(self.list_id) # Splits the list depending on whether the new slot is higher or lower than the current one if new_slot > self.slot: # Example self.slot=1 new_slot=4 slots = slots[self.slot:new_slot] # Expected list: [(id, 2), (id, 3), (id, 4)] for slot in slots: update_slot(slot[0], slot[1]-1) if new_slot < self.slot: # Example self.slot=4 new_slot=1 slots = slots[new_slot-1:self.slot-1] # Expected list: [(id, 1), (id, 2), (id, 3)] for slot in slots: update_slot(slot[0], slot[1]+1) # Update the slot of the current habit update_slot(self.id, new_slot) # Deletes the Habit def delete(self): # Reorders the slots slots = get_slots(self.list_id)[self.slot+1:] for slot in slots: update_slot(slot[0], slot[1] - 1) # Deletes all track-records associated with the Habit trackings = self.get_habitTrackings() for tracking in trackings: tracking.delete() # Deletes the current Habit delete_habit(self.id) # Returns all track-records for a Habit def get_habitTrackings(self) -> list: trackings = [] for rawTracking in get_habitTrackings(self.id): trackings.append(HabitTracking(rawTracking[0], rawTracking[1], datetime.strptime(rawTracking[2], "%Y-%m-%dT%H:%M:%S.%f"))) return trackings # Returns the HabitList in which the Habit is located def habit_list(self) -> list: from models.HabitList import HabitList raw_habitLists = get_habitList(self.list_id) return HabitList(raw_habitLists[0], raw_habitLists[1], raw_habitLists[2]) if raw_habitLists else None # Loads the progress and checks if the streak is not broken def load_statistics(self): today = datetime.today().date() yesterday = today - timedelta(days=1) tracking_dates = [tracking.created_at.date() for tracking in self.get_habitTrackings()] if not today in tracking_dates: self.checked = False if not yesterday in tracking_dates: self.streak = 0 update_habit_statistics(self.id, self.count, self.count, self.streak) self.percentage = int(self.count / self.times * 100) # Saves the progress count and streak def fill_statistics(self): self.checked = True self.streak += 1 self.count += 1 update_habit_statistics(self.id, self.checked, self.count, self.streak) # Turns the statistics back to the unchecked state def reset_statistics(self): self.checked = False self.streak -= 1 self.count -= 1 update_habit_statistics(self.id, self.checked, self.count, self.streak) def to_json(self): return json.dumps(self, default=lambda o: o.__dict__, sort_keys=True, indent=4)