flatland.integrations.interactiveai.context_api.models.metadata_schema_railway module

APIFlask

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The version of the OpenAPI document: 0.1.0 Generated by OpenAPI Generator (https://openapi-generator.tech)

Do not edit the class manually.

class flatland.integrations.interactiveai.context_api.models.metadata_schema_railway.MetadataSchemaRailway(*, direction_agents: List[Annotated[int, Strict(strict=True)]] | None = None, list_of_target: Dict[str, Any] | None = None, position_agents: Dict[str, Any] | None = None, trains: List[Dict[str, Any]] | None = None)

Bases: BaseModel

direction_agents: List[StrictInt] | None

classmethod from_dict(obj: Dict[str, Any] | None) → Self | None

Create an instance of MetadataSchemaRailway from a dict

classmethod from_json(json_str: str) → Self | None

Create an instance of MetadataSchemaRailway from a JSON string

list_of_target: Dict[str, Any] | None

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True, 'validate_by_alias': True, 'validate_by_name': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

position_agents: Dict[str, Any] | None

to_dict() → Dict[str, Any]

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

to_json() → str

Returns the JSON representation of the model using alias

to_str() → str

Returns the string representation of the model using alias

trains: List[Dict[str, Any]] | None