Module `realm_api.models.character`

Character model

Classes

class Character (**data)

Expand source code

class Character(SQLModel, table=True):
    id: int = Field(primary_key=True)
    game_id: int = Field(foreign_key="game.id")
    managers: list["GamePlayer"] = Relationship(
        back_populates="characters",
        link_model=GamePlayerCharacter,
        sa_relationship_kwargs={
            "primaryjoin": "Character.id == GamePlayerCharacter.character_id",
            "secondaryjoin": "GamePlayerCharacter.player_id == GamePlayer.player_id",
        },
    )
    props: list[CharacterProp] = Relationship(back_populates="character")
    stats: list[CharacterStat] = Relationship(back_populates="character")

Usage Documentation

Models

A base class for creating Pydantic models.

Attributes

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to args, origin, parameters in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

Ancestors

sqlmodel.main.SQLModel
pydantic.main.BaseModel

Class variables

var model_config

Instance variables

var game_id : Union[InstrumentedAttribute[_T_co], _T_co]

Expand source code

def __get__(
    self, instance: Optional[object], owner: Any
) -> Union[InstrumentedAttribute[_T_co], _T_co]:
    if instance is None:
        return self

    dict_ = instance_dict(instance)
    if self.impl.supports_population and self.key in dict_:
        return dict_[self.key]  # type: ignore[no-any-return]
    else:
        try:
            state = instance_state(instance)
        except AttributeError as err:
            raise orm_exc.UnmappedInstanceError(instance) from err
        return self.impl.get(state, dict_)  # type: ignore[no-any-return]

var id : Union[InstrumentedAttribute[_T_co], _T_co]

Expand source code

def __get__(
    self, instance: Optional[object], owner: Any
) -> Union[InstrumentedAttribute[_T_co], _T_co]:
    if instance is None:
        return self

    dict_ = instance_dict(instance)
    if self.impl.supports_population and self.key in dict_:
        return dict_[self.key]  # type: ignore[no-any-return]
    else:
        try:
            state = instance_state(instance)
        except AttributeError as err:
            raise orm_exc.UnmappedInstanceError(instance) from err
        return self.impl.get(state, dict_)  # type: ignore[no-any-return]

var managers : Union[InstrumentedAttribute[_T_co], _T_co]

Expand source code

def __get__(
    self, instance: Optional[object], owner: Any
) -> Union[InstrumentedAttribute[_T_co], _T_co]:
    if instance is None:
        return self

    dict_ = instance_dict(instance)
    if self.impl.supports_population and self.key in dict_:
        return dict_[self.key]  # type: ignore[no-any-return]
    else:
        try:
            state = instance_state(instance)
        except AttributeError as err:
            raise orm_exc.UnmappedInstanceError(instance) from err
        return self.impl.get(state, dict_)  # type: ignore[no-any-return]

var props : Union[InstrumentedAttribute[_T_co], _T_co]

Expand source code

def __get__(
    self, instance: Optional[object], owner: Any
) -> Union[InstrumentedAttribute[_T_co], _T_co]:
    if instance is None:
        return self

    dict_ = instance_dict(instance)
    if self.impl.supports_population and self.key in dict_:
        return dict_[self.key]  # type: ignore[no-any-return]
    else:
        try:
            state = instance_state(instance)
        except AttributeError as err:
            raise orm_exc.UnmappedInstanceError(instance) from err
        return self.impl.get(state, dict_)  # type: ignore[no-any-return]

var stats : Union[InstrumentedAttribute[_T_co], _T_co]

Expand source code

def __get__(
    self, instance: Optional[object], owner: Any
) -> Union[InstrumentedAttribute[_T_co], _T_co]:
    if instance is None:
        return self

    dict_ = instance_dict(instance)
    if self.impl.supports_population and self.key in dict_:
        return dict_[self.key]  # type: ignore[no-any-return]
    else:
        try:
            state = instance_state(instance)
        except AttributeError as err:
            raise orm_exc.UnmappedInstanceError(instance) from err
        return self.impl.get(state, dict_)  # type: ignore[no-any-return]