HclsResource

pydantic model openapi_client.models.hcls_resource.HclsResource

Request body for HealthLake FHIR create/update. When Encoding is base64, HealthLakeQuery must be a base64-encoded JSON FHIR resource string.

Fields:
field health_lake_query: StrictStr [Required] (alias 'HealthLakeQuery')

FHIR resource payload (raw or base64-encoded JSON string).

Constraints:

  • strict = True

field encoding: StrictStr [Required] (alias 'Encoding')

Encoding of HealthLakeQuery. Use base64 to base64-decode the payload before create/update. Default is none. The backend compares this value case-insensitively, so uppercase equivalents are also accepted.

Constraints:

  • strict = True

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 HclsResource 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 HclsResource from a dict

Return type:

Optional[Self]