mirror of
https://github.com/aiogram/aiogram.git
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159 lines
5.2 KiB
Python
159 lines
5.2 KiB
Python
from __future__ import annotations
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import abc
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import secrets
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from typing import TYPE_CHECKING, Any, Dict, Generator, Generic, Optional, TypeVar, Union
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from pydantic import BaseConfig, BaseModel, Extra, root_validator
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from pydantic.generics import GenericModel
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from ..types import UNSET, InputFile, ResponseParameters
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if TYPE_CHECKING:
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from ..client.bot import Bot
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TelegramType = TypeVar("TelegramType", bound=Any)
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class Request(BaseModel):
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method: str
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data: Dict[str, Optional[Any]]
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files: Optional[Dict[str, InputFile]]
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class Config(BaseConfig):
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arbitrary_types_allowed = True
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def render_webhook_request(self) -> Dict[str, Any]:
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return {
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"method": self.method,
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**{key: value for key, value in self.data.items() if value is not None},
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}
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class Response(GenericModel, Generic[TelegramType]):
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ok: bool
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result: Optional[TelegramType] = None
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description: Optional[str] = None
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error_code: Optional[int] = None
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parameters: Optional[ResponseParameters] = None
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class TelegramMethod(abc.ABC, BaseModel, Generic[TelegramType]):
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class Config(BaseConfig):
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# use_enum_values = True
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extra = Extra.allow
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allow_population_by_field_name = True
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arbitrary_types_allowed = True
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orm_mode = True
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smart_union = True # https://github.com/aiogram/aiogram/issues/901
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@root_validator(pre=True)
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def remove_unset(cls, values: Dict[str, Any]) -> Dict[str, Any]:
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"""
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Remove UNSET from `parse_mode` before fields validation.
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We use UNSET as a sentinel value for `parse_mode` and replace it to real value later.
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It isn't a problem when it's just default value for a model field, but UNSET might be passing to
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a model initialization from `Bot.method_name`, so we must take care of it and
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remove it before fields validation.
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"""
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for parse_mode_attribute in {"parse_mode", "explanation_parse_mode"}:
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if parse_mode_attribute in values and values[parse_mode_attribute] is UNSET:
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values.pop(parse_mode_attribute)
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return values
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@property
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@abc.abstractmethod
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def __returning__(self) -> type: # pragma: no cover
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pass
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@abc.abstractmethod
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def build_request(self, bot: Bot) -> Request: # pragma: no cover
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pass
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def dict(self, **kwargs: Any) -> Any:
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# override dict of pydantic.BaseModel to overcome exporting request_timeout field
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exclude = kwargs.pop("exclude", set())
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return super().dict(exclude=exclude, **kwargs)
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def build_response(self, data: Dict[str, Any]) -> Response[TelegramType]:
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# noinspection PyTypeChecker
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return Response[self.__returning__](**data) # type: ignore
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async def emit(self, bot: Bot) -> TelegramType:
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return await bot(self)
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as_ = emit
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def __await__(self) -> Generator[Any, None, TelegramType]:
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from aiogram.client.bot import Bot
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bot = Bot.get_current(no_error=False)
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return self.emit(bot).__await__()
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def prepare_file(name: str, value: Any, data: Dict[str, Any], files: Dict[str, Any]) -> None:
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if not value:
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return
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if name == "thumb":
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tag = secrets.token_urlsafe(10)
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files[tag] = value
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data["thumb"] = f"attach://{tag}"
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elif isinstance(value, InputFile):
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files[name] = value
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else:
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data[name] = value
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def prepare_input_media(data: Dict[str, Any], files: Dict[str, InputFile]) -> None:
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for input_media in data.get("media", []): # type: Dict[str, Union[str, InputFile]]
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if (
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"media" in input_media
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and input_media["media"]
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and isinstance(input_media["media"], InputFile)
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):
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tag = secrets.token_urlsafe(10)
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files[tag] = input_media.pop("media") # type: ignore
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input_media["media"] = f"attach://{tag}"
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def prepare_media_file(data: Dict[str, Any], files: Dict[str, InputFile]) -> None:
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if (
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data["media"]
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and "media" in data["media"]
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and isinstance(data["media"]["media"], InputFile)
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):
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tag = secrets.token_urlsafe(10)
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files[tag] = data["media"].pop("media")
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data["media"]["media"] = f"attach://{tag}"
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def prepare_parse_mode(
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bot: Bot,
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root: Any,
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parse_mode_property: str = "parse_mode",
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entities_property: str = "entities",
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) -> None:
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"""
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Find and set parse_mode with highest priority.
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Developer can manually set parse_mode for each message (or message-like) object,
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but if parse_mode was unset we should use value from Bot object.
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We can't use None for "unset state", because None itself is the parse_mode option.
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"""
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if isinstance(root, list):
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for item in root:
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prepare_parse_mode(
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bot=bot,
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root=item,
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parse_mode_property=parse_mode_property,
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entities_property=entities_property,
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)
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elif root.get(parse_mode_property, UNSET) is UNSET:
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if bot.parse_mode and root.get(entities_property, None) is None:
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root[parse_mode_property] = bot.parse_mode
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else:
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root[parse_mode_property] = None
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