HclsStoresStoreConfig

pydantic model openapi_client.models.hcls_stores_store_config.HclsStoresStoreConfig

Store-specific configuration.

Fields:

• data_file_format (str | None)

• datastore_id (str | None)

• omics_store_id (str | None)

• pre_load_sample_data (bool | None)

• reference_genome (str | None)

• schema_definition (List[Dict[str, Any]] | None)

field omics_store_id: Optional[StrictStr] = None (alias 'OmicsStoreId')

Underlying Omics store id.

field datastore_id: Optional[StrictStr] = None (alias 'DatastoreId')

Underlying HealthLake/HealthImaging datastore id.

field pre_load_sample_data: Optional[StrictBool] = None (alias 'PreLoadSampleData')

When true for healthlake create, preload SYNTHEA sample data (request field may also be accepted as PreloadSampleData).

field data_file_format: Optional[StrictStr] = None (alias 'DataFileFormat')

Data file format for the store.

field schema_definition: Optional[List[Dict[str, Any]]] = None (alias 'SchemaDefinition')

Optional schema definition objects.

field reference_genome: Optional[StrictStr] = None (alias 'ReferenceGenome')

Reference genome name/ARN associated with the store.

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]