flatland.integrations.interactiveai.context_api.models.use_case_in module#
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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.use_case_in.UseCaseIn(*, context_manager_class: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[Strict(strict=True), MinLen(min_length=1), MaxLen(max_length=255)])] | None = None, metadata_schema_class: Annotated[str, FieldInfo(annotation=NoneType, required=True, metadata=[Strict(strict=True), MinLen(min_length=1), MaxLen(max_length=255)])] | None = None, name: Annotated[str, Strict(strict=True), MinLen(min_length=1), MaxLen(max_length=255)])[source]#
Bases:
BaseModel- context_manager_class: Annotated[str, Field(min_length=1, strict=True, max_length=255)] | None#
- classmethod from_dict(obj: Dict[str, Any] | None) Self | None[source]#
Create an instance of UseCaseIn from a dict
- classmethod from_json(json_str: str) Self | None[source]#
Create an instance of UseCaseIn from a JSON string
- metadata_schema_class: Annotated[str, Field(min_length=1, strict=True, max_length=255)] | 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].
- name: Annotated[str, Field(min_length=1, strict=True, max_length=255)]#
- to_dict() Dict[str, Any][source]#
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.