python-telegram-bot/telegram/_files/inputsticker.py
MiguelX413 99fd4432db
Use Explicit Optionals (#3692)
Co-authored-by: Dmitry Kolomatskiy <58207913+lemontree210@users.noreply.github.com>
2023-05-18 07:57:59 +02:00

95 lines
4.3 KiB
Python

#!/usr/bin/env python
#
# A library that provides a Python interface to the Telegram Bot API
# Copyright (C) 2015-2023
# Leandro Toledo de Souza <devs@python-telegram-bot.org>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser Public License for more details.
#
# You should have received a copy of the GNU Lesser Public License
# along with this program. If not, see [http://www.gnu.org/licenses/].
"""This module contains an object that represents a Telegram InputSticker."""
from typing import Optional, Sequence, Tuple, Union
from telegram._files.inputfile import InputFile
from telegram._files.sticker import MaskPosition
from telegram._telegramobject import TelegramObject
from telegram._utils.argumentparsing import parse_sequence_arg
from telegram._utils.files import parse_file_input
from telegram._utils.types import FileInput, JSONDict
class InputSticker(TelegramObject):
"""
This object describes a sticker to be added to a sticker set.
.. versionadded:: 20.2
Args:
sticker (:obj:`str` | :term:`file object` | :obj:`bytes` | :class:`pathlib.Path`): The
added sticker. |uploadinputnopath| Animated and video stickers can't be uploaded via
HTTP URL.
emoji_list (Sequence[:obj:`str`]): Sequence of
:tg-const:`telegram.constants.StickerLimit.MIN_STICKER_EMOJI` -
:tg-const:`telegram.constants.StickerLimit.MAX_STICKER_EMOJI` emoji associated with the
sticker.
mask_position (:obj:`telegram.MaskPosition`, optional): Position where the mask should be
placed on faces. For ":tg-const:`telegram.constants.StickerType.MASK`" stickers only.
keywords (Sequence[:obj:`str`], optional): Sequence of
0-:tg-const:`telegram.constants.StickerLimit.MAX_SEARCH_KEYWORDS` search keywords
for the sticker with the total length of up to
:tg-const:`telegram.constants.StickerLimit.MAX_KEYWORD_LENGTH` characters. For
":tg-const:`telegram.constants.StickerType.REGULAR`" and
":tg-const:`telegram.constants.StickerType.CUSTOM_EMOJI`" stickers only.
Attributes:
sticker (:obj:`str` | :class:`telegram.InputFile`): The added sticker.
emoji_list (Tuple[:obj:`str`]): Tuple of
:tg-const:`telegram.constants.StickerLimit.MIN_STICKER_EMOJI` -
:tg-const:`telegram.constants.StickerLimit.MAX_STICKER_EMOJI` emoji associated with the
sticker.
mask_position (:obj:`telegram.MaskPosition`): Optional. Position where the mask should be
placed on faces. For ":tg-const:`telegram.constants.StickerType.MASK`" stickers only.
keywords (Tuple[:obj:`str`]): Optional. Tuple of
0-:tg-const:`telegram.constants.StickerLimit.MAX_SEARCH_KEYWORDS` search keywords
for the sticker with the total length of up to
:tg-const:`telegram.constants.StickerLimit.MAX_KEYWORD_LENGTH` characters. For
":tg-const:`telegram.constants.StickerType.REGULAR`" and
":tg-const:`telegram.constants.StickerType.CUSTOM_EMOJI`" stickers only.
"""
__slots__ = ("sticker", "emoji_list", "mask_position", "keywords")
def __init__(
self,
sticker: FileInput,
emoji_list: Sequence[str],
mask_position: Optional[MaskPosition] = None,
keywords: Optional[Sequence[str]] = None,
*,
api_kwargs: Optional[JSONDict] = None,
):
super().__init__(api_kwargs=api_kwargs)
# We use local_mode=True because we don't have access to the actual setting and want
# things to work in local mode.
self.sticker: Union[str, InputFile] = parse_file_input(
sticker,
local_mode=True,
attach=True,
)
self.emoji_list: Tuple[str, ...] = parse_sequence_arg(emoji_list)
self.mask_position: Optional[MaskPosition] = mask_position
self.keywords: Tuple[str, ...] = parse_sequence_arg(keywords)
self._freeze()