63 lines
1.9 KiB
Python
63 lines
1.9 KiB
Python
from habitmove.loopdata import Habit
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def migrate(db, trackers):
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c = db.cursor()
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habits = trackers_to_habits(trackers)
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for habit in habits:
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existing_habit = check_habit_duplicate(c, habit)
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if not existing_habit:
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add_to_database(c, habit)
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else:
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print(f"Found duplicate Habit: {existing_habit} - skipping.")
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return habits
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# By default set goal to half of max value
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NOMIE_MAX_TO_TARGET_VALUE_RATIO = 2
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def trackers_to_habits(trackers):
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habits = []
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for t in trackers:
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habits.append(
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Habit(
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archived=t.hidden,
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color=11 if t.score != "-1" else 0,
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description=t.tag,
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name=f"{t.emoji} {t.label}",
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unit="" if t.uom == "num" else t.uom,
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uuid=t.id,
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)
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)
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if t.type == "range" and len(habits) > 0:
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habits[-1].type = 1
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# nomie only has concept of max value,
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# use a percentage of it for Loop range target
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habits[-1].target_value = int(t.max) // NOMIE_MAX_TO_TARGET_VALUE_RATIO
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return habits
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def check_habit_duplicate(cursor, habit):
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cursor.execute("select name from Habits where uuid = ?", [habit.uuid])
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name = cursor.fetchone()
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if name:
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return name[0]
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return False
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def add_to_database(cursor, habit):
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"""Takes a habit in the form of a dictionary and inserts it into the Habits table.
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Parameters:
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cursor (db.cursor): SQL executing cursor
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habit (Habit): A Loop habit to be added to the database.
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"""
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habit_data = habit.__dict__
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placeholder = ", ".join("?" * len(habit_data))
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columns = ", ".join(habit_data.keys())
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sql = "insert into `{table}` ({columns}) values ({values});".format(
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table="Habits", columns=columns, values=placeholder
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)
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values = list(habit_data.values())
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cursor.execute(sql, values)
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