RegisteredDatasetDatasetReportEntities¶
- pydantic model openapi_client.models.registered_dataset_dataset_report_entities.RegisteredDatasetDatasetReportEntities¶
RegisteredDatasetDatasetReportEntities
- Fields:
- field commercial_item: Optional[List[StrictStr]] = None (alias 'COMMERCIAL_ITEM')¶
- field var_date: Optional[List[StrictStr]] = None (alias 'DATE')¶
- field event: Optional[List[StrictStr]] = None (alias 'EVENT')¶
- field location: Optional[List[StrictStr]] = None (alias 'LOCATION')¶
- field organization: Optional[List[StrictStr]] = None (alias 'ORGANIZATION')¶
- field other: Optional[List[StrictStr]] = None (alias 'OTHER')¶
- field person: Optional[List[StrictStr]] = None (alias 'PERSON')¶
- field quantity: Optional[List[StrictStr]] = None (alias 'QUANTITY')¶
- field title: Optional[List[StrictStr]] = None (alias 'TITLE')¶
- to_str()¶
Returns the string representation of the model using alias
- Return type:
str
- to_json()¶
Returns the JSON representation of the model using alias
- Return type:
str
- classmethod from_json(json_str)¶
Create an instance of RegisteredDatasetDatasetReportEntities from a JSON string
- Return type:
Optional[Self]
- to_dict()¶
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.
- Return type:
Dict[str,Any]
- classmethod from_dict(obj)¶
Create an instance of RegisteredDatasetDatasetReportEntities from a dict
- Return type:
Optional[Self]