HclsStoresStoreConfig

class openapi_client.models.hcls_stores_store_config.HclsStoresStoreConfig(**data)

Bases: BaseModel

omics_store_id: Optional[StrictStr]

pre_load_sample_data: Optional[StrictStr]

data_file_format: Optional[StrictStr]

schema_definition: Optional[List[Dict[str, Any]]]

reference_genome: Optional[StrictStr]

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

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

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 HclsStoresStoreConfig 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 HclsStoresStoreConfig from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'data_file_format': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DataFileFormat', alias_priority=2), 'omics_store_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='OmicsStoreId', alias_priority=2), 'pre_load_sample_data': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='PreLoadSampleData', alias_priority=2), 'reference_genome': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='ReferenceGenome', alias_priority=2), 'schema_definition': FieldInfo(annotation=Union[List[Dict[str, Any]], NoneType], required=False, alias='SchemaDefinition', alias_priority=2)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) – The BaseModel instance.

• __context (Any) – The context.

Return type:

None