Пример #1
0
def upload_top_movies(wk_top_movies: Worksheet):
    title = 'Topplistor'
    if wk_top_movies.title == title:
        top_movies = db.top_movies()
        rows: List[Row] = list()
        for row in top_movies:
            imdb_link = IMDB_LINK.format(row[0])
            rows.append([to_link(imdb_link, row[1]), row[2]])

        row_end, col_end = len(top_movies) + 2, ALPHABETH[len(top_movies[0]) - 1]
        wk_top_movies.update_values(f'A3:{col_end}{row_end}', rows)
    else:
        print(f'Wrong title on worksheet. Got {wk_top_movies.title} ,expected {title}')
Пример #2
0
def upload_movies(wk_movies: Worksheet) -> None:
    title = 'Filmer'
    if wk_movies.title == title:
        rows: List[Row] = []
        movies: List[Movie] = db.movies()
        for movie in movies:
            rows.append(get_row_rating(movie))

        row_end, col_end = len(movies) + 1, ALPHABETH[len(USERS) + 4]
        wk_movies.update_values(f'A2:{col_end}{row_end}', rows)
        latest_ratings = [
            [a, humanize.naturalday(b), to_link(IMDB_LINK.format(e), c), d] for (a, b, c, d, e) in db.latest_ratings(20)
        ]
        wk_movies.update_values('M12:P31', latest_ratings)
    else:
        print(f'Wrong title on worksheet. Got {wk_movies.title} ,expected {title}')
Пример #3
0
def update_sheet_from_mfp(username: str, mfp_client: myfitnesspal.Client,
                          wks: pygsheets.Worksheet):
    last_cell = _get_col(wks, 1)[-1][0]
    row = last_cell.row
    last_date = datetime.strptime(last_cell.value, DATE_FORMAT)

    nutr_to_column = _row_to_col_index_dict(_get_row(wks, 1)[0])

    for day in _date_range(last_date + timedelta(days=1)):
        row += 1
        nutrs: List[Any] = [None] * len(nutr_to_column)
        nutrs[0] = day.strftime(DATE_FORMAT)
        mfp_nutrs = mfp_client.get_date(day, username=username)
        for nutrient, amount in mfp_nutrs.totals.items():
            if nutrient in nutr_to_column:
                nutrs[nutr_to_column[nutrient]] = amount
        wks.update_values((row, 1), [nutrs])