Module `graia.broadcast.entities.event`

Expand source code

from typing import Type, Optional
from pydantic.dataclasses import dataclass
from iterwrapper import IterWrapper
from pydantic.main import BaseModel, ModelMetaclass

import copy


class EventMeta(ModelMetaclass):
    def __new__(mcls, name, bases, mapping, **kwargs):
        if any(
            IterWrapper(bases)
            .filter(lambda x: getattr(x, "__base_event__", False))
            .collect(list)
        ):
            if not mapping.__contains__("__base_event__"):
                mapping["__base_event__"] = False
        if not mapping.get("Dispatcher") and name != "BaseEvent":
            raise AttributeError(
                "a event class must have a dispatcher called 'Dispatcher'"
            )
        r = super().__new__(
            mcls,
            name,
            (BaseModel, *bases) if name == "BaseEvent" else bases,
            mapping,
            **kwargs
        )
        if mapping.get("type"):
            r.type = mapping.get("type")
        if name != "BaseEvent":
            r.update_forward_refs()
            r.Dispatcher = mapping["Dispatcher"]
        return r


class BaseEvent(metaclass=EventMeta):
    class Config:
        arbitrary_types_allowed = True


from .dispatcher import BaseDispatcher

Classes

class BaseEvent (**data: Any)

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

Expand source code

class BaseEvent(metaclass=EventMeta):
    class Config:
        arbitrary_types_allowed = True

Ancestors

pydantic.main.BaseModel
pydantic.utils.Representation

Subclasses

Class variables

var Config

class EventMeta (*args, **kwargs)

Metaclass for defining Abstract Base Classes (ABCs).

Use this metaclass to create an ABC. An ABC can be subclassed directly, and then acts as a mix-in class. You can also register unrelated concrete classes (even built-in classes) and unrelated ABCs as 'virtual subclasses' – these and their descendants will be considered subclasses of the registering ABC by the built-in issubclass() function, but the registering ABC won't show up in their MRO (Method Resolution Order) nor will method implementations defined by the registering ABC be callable (not even via super()).

Expand source code

class EventMeta(ModelMetaclass):
    def __new__(mcls, name, bases, mapping, **kwargs):
        if any(
            IterWrapper(bases)
            .filter(lambda x: getattr(x, "__base_event__", False))
            .collect(list)
        ):
            if not mapping.__contains__("__base_event__"):
                mapping["__base_event__"] = False
        if not mapping.get("Dispatcher") and name != "BaseEvent":
            raise AttributeError(
                "a event class must have a dispatcher called 'Dispatcher'"
            )
        r = super().__new__(
            mcls,
            name,
            (BaseModel, *bases) if name == "BaseEvent" else bases,
            mapping,
            **kwargs
        )
        if mapping.get("type"):
            r.type = mapping.get("type")
        if name != "BaseEvent":
            r.update_forward_refs()
            r.Dispatcher = mapping["Dispatcher"]
        return r

Ancestors

pydantic.main.ModelMetaclass
abc.ABCMeta
builtins.type