Loop Habit Tracker to Streaks data converter

converter.py

#
# This script converts from Loop Habit Tracker (https://play.google.com/store/apps/details?id=org.isoron.uhabits)
# to Streaks (https://apps.apple.com/us/app/streaks/id963034692)
#
# Export your Loop Habits data as a CSV and unzip it into the same folder as
# this script. You should have a bunch of directories with names corresponding
# to your habits and each one should contain a Checkmarks.csv file we're going
# to read and convert for Streaks
#

import argparse
import csv
import datetime
import os

HABITS = [
    # Add the habits you want to transfer over here
    '001 Floss', # should be the name of a folder
    '002 your habits here',
]

LOOP_TO_STREAKS = {
    0: 'missed_manually',
    2: 'completed_manually',
    # skipped_manually
}


def parse_args():
    parser = argparse.ArgumentParser(prog="LoopToStreaks")
    parser.add_argument('output_csv', help="CSV in Streaks format")
    return parser.parse_args()


def main(args):
    lines = []

    for habit in HABITS:
        lines += read_habit(habit)

    if not lines:
        return

    with open(args.output_csv, 'w') as f:
        writer = csv.DictWriter(f, fieldnames=lines[0].keys())
        writer.writeheader()
        for r in lines:
            writer.writerow(r)


def read_habit(habit):
    checkmarks_csv = os.path.join(habit, 'Checkmarks.csv')
    if not os.path.exists(checkmarks_csv):
        raise Exception(f"Could not open '{checkmarks_csv}'")
    print(f"reading {checkmarks_csv}")
    lines = []
    with open(checkmarks_csv, 'r') as f:
        reader = csv.reader(f)
        for line in reader:
            date_s, status_s = line
            status = int(status_s)
            date = datetime.datetime.strptime(date_s, '%Y-%m-%d')  # 2022-04-30
            entry = LOOP_TO_STREAKS.get(status)
            if not entry:
                continue
            lines.append({
                'entry_date': date.strftime('%Y%m%d'),
                'entry_timestamp': date.isoformat() + '.000Z',
                'title': habit,
                'entry_type': entry,
                'quantity': 0.0,
            })
    return lines


if __name__ == "__main__":
    args = parse_args()
    main(args)

sample output.csv