Source code for aiogram.types.input_media_voice_note

from __future__ import annotations

from typing import TYPE_CHECKING, Any, Literal

from ..client.default import Default
from .base import TelegramObject

if TYPE_CHECKING:
    from .message_entity import MessageEntity


[docs] class InputMediaVoiceNote(TelegramObject): """ Represents a voice message file to be sent. Source: https://core.telegram.org/bots/api#inputmediavoicenote """ type: Literal["voice_note"] = "voice_note" """Type of the media, must be *voice_note*""" media: str """File to send. Pass a file_id to send a file that exists on the Telegram servers (recommended), pass an HTTP URL for Telegram to get a file from the Internet, or pass "attach://<file_attach_name>" to upload a new one using multipart/form-data under <file_attach_name> name. :ref:`More information on Sending Files » <sending-files>`""" caption: str | None = None """*Optional*. Caption of the voice message to be sent, 0-1024 characters after entities parsing""" parse_mode: str | Default | None = Default("parse_mode") """*Optional*. Mode for parsing entities in the voice message caption. See `formatting options <https://core.telegram.org/bots/api#formatting-options>`_ for more details""" caption_entities: list[MessageEntity] | None = None """*Optional*. List of special entities that appear in the caption, which can be specified instead of *parse_mode*""" duration: int | None = None """*Optional*. Duration of the voice message in seconds""" if TYPE_CHECKING: # DO NOT EDIT MANUALLY!!! # This section was auto-generated via `butcher` def __init__( __pydantic__self__, *, type: Literal["voice_note"] = "voice_note", media: str, caption: str | None = None, parse_mode: str | Default | None = Default("parse_mode"), caption_entities: list[MessageEntity] | None = None, duration: int | None = None, **__pydantic_kwargs: Any, ) -> None: # DO NOT EDIT MANUALLY!!! # This method was auto-generated via `butcher` # Is needed only for type checking and IDE support without any additional plugins super().__init__( type=type, media=media, caption=caption, parse_mode=parse_mode, caption_entities=caption_entities, duration=duration, **__pydantic_kwargs, )