68 lines
2.2 KiB
Python
68 lines
2.2 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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return habits
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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 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["tag"],
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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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)
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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"] = (
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int(t["max"]) // NOMIE_MAX_TO_TARGET_VALUE_RATIO
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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):
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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 (dict): A Loop habit to be added to the database. Must contain a minimum of
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'archived','color','description','freq_den','freq_num','highlight','name',
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'question','position','unit','uuid' as keys.
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"""
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placeholder = ", ".join("?" * len(habit))
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columns = ", ".join(habit.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.values())
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cursor.execute(sql, values)
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