100 lines
2.4 KiB
Python
100 lines
2.4 KiB
Python
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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# DEBUGGING
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c.execute("""select * from Habits""")
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print(c.fetchall())
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def trackers_to_habits(trackers):
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habits = []
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# for each list entry tracker dict transform to habit dict
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for tracker_name in trackers.keys():
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t = trackers[tracker_name]
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habits.append(
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{
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"archived": 0 if t["hidden"] == False else 1,
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"color": 11 if t.get("score", 0) != "-1" else 0,
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"description": t["label"],
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"freq_den": 1,
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"freq_num": 1,
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"highlight": 0,
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"name": f"{t['emoji']} {t['label']}",
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"question": "",
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"position": 0,
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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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# FIXME conditional for ranges (if type = range > habits[-1]['type'] = intforrangetype; habits[-1]['max'] =)
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)
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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_dict):
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placeholder = ", ".join("?" * len(habit_dict))
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columns = ", ".join(habit_dict.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_dict.values())
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cursor.execute(sql, values)
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# grab next tracker info
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# look for unique id of next habit
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# if exists skip and warn user
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# insert tracker into habit table
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# FOR REPETITION MIGRATION
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# c.execute(
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# """
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# INSERT INTO
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# Repetitions(id, habit, timestamp, value)
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# VALUES (NULL, 5, 1629676800000, 2)
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# """
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# )
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# c.execute(
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# """
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# INSERT INTO
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# Repetitions(id, habit, timestamp, value)
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# VALUES (NULL, 6, 1629676800000, 2)
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# """
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# )
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# """
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# )
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# """
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# )
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# """
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# )
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# """
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# )
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# """
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# )
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# """
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# )
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# """
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# )
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# """
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# )
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# """
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# )
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# """
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# )
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