Source code for aiogram.methods.send_message_draft

from __future__ import annotations

from typing import TYPE_CHECKING, Any

from ..types import MessageEntity
from .base import TelegramMethod


[docs] class SendMessageDraft(TelegramMethod[bool]): """ Use this method to stream a partial message to a user while the message is being generated. Returns :code:`True` on success. Source: https://core.telegram.org/bots/api#sendmessagedraft """ __returning__ = bool __api_method__ = "sendMessageDraft" chat_id: int """Unique identifier for the target private chat""" draft_id: int """Unique identifier of the message draft; must be non-zero. Changes of drafts with the same identifier are animated""" text: str """Text of the message to be sent, 1-4096 characters after entities parsing""" message_thread_id: int | None = None """Unique identifier for the target message thread""" parse_mode: str | None = None """Mode for parsing entities in the message text. See `formatting options <https://core.telegram.org/bots/api#formatting-options>`_ for more details.""" entities: list[MessageEntity] | None = None """A JSON-serialized list of special entities that appear in message text, which can be specified instead of *parse_mode*""" if TYPE_CHECKING: # DO NOT EDIT MANUALLY!!! # This section was auto-generated via `butcher` def __init__( __pydantic__self__, *, chat_id: int, draft_id: int, text: str, message_thread_id: int | None = None, parse_mode: str | None = None, entities: list[MessageEntity] | 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__( chat_id=chat_id, draft_id=draft_id, text=text, message_thread_id=message_thread_id, parse_mode=parse_mode, entities=entities, **__pydantic_kwargs, )