64 lines
2.5 KiB
Python
64 lines
2.5 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING, Any, Optional
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from ..types import InputStoryContentUnion, MessageEntity, Story, StoryArea
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from .base import TelegramMethod
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class EditStory(TelegramMethod[Story]):
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"""
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Edits a story previously posted by the bot on behalf of a managed business account. Requires the *can_manage_stories* business bot right. Returns :class:`aiogram.types.story.Story` on success.
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Source: https://core.telegram.org/bots/api#editstory
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"""
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__returning__ = Story
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__api_method__ = "editStory"
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business_connection_id: str
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"""Unique identifier of the business connection"""
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story_id: int
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"""Unique identifier of the story to edit"""
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content: InputStoryContentUnion
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"""Content of the story"""
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caption: Optional[str] = None
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"""Caption of the story, 0-2048 characters after entities parsing"""
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parse_mode: Optional[str] = None
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"""Mode for parsing entities in the story caption. See `formatting options <https://core.telegram.org/bots/api#formatting-options>`_ for more details."""
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caption_entities: Optional[list[MessageEntity]] = None
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"""A JSON-serialized list of special entities that appear in the caption, which can be specified instead of *parse_mode*"""
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areas: Optional[list[StoryArea]] = None
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"""A JSON-serialized list of clickable areas to be shown on the story"""
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if TYPE_CHECKING:
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# DO NOT EDIT MANUALLY!!!
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# This section was auto-generated via `butcher`
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def __init__(
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__pydantic__self__,
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*,
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business_connection_id: str,
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story_id: int,
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content: InputStoryContentUnion,
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caption: Optional[str] = None,
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parse_mode: Optional[str] = None,
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caption_entities: Optional[list[MessageEntity]] = None,
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areas: Optional[list[StoryArea]] = None,
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**__pydantic_kwargs: Any,
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) -> None:
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# DO NOT EDIT MANUALLY!!!
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# This method was auto-generated via `butcher`
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# Is needed only for type checking and IDE support without any additional plugins
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super().__init__(
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business_connection_id=business_connection_id,
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story_id=story_id,
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content=content,
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caption=caption,
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parse_mode=parse_mode,
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caption_entities=caption_entities,
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areas=areas,
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**__pydantic_kwargs,
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)
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