HabitTracker/models/Habit.py

143 lines
4.7 KiB
Python

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