CreateDataPipelineResponse

pydantic model openapi_client.models.create_data_pipeline_response.CreateDataPipelineResponse

POST /data-pipelines success. Glue returns DataPipelineId and Message. AI may also return LambdaUploadUrls.

Fields:

• data_pipeline_id (str)

• lambda_upload_urls (Dict[str, openapi_client.models.data_pipeline_lambda_upload_url.DataPipelineLambdaUploadUrl] | None)

• message (str)

field data_pipeline_id: StrictStr [Required] (alias 'DataPipelineId')

Constraints:

• strict = True

field message: StrictStr [Required] (alias 'Message')

Constraints:

• strict = True

field lambda_upload_urls: Optional[Dict[str, DataPipelineLambdaUploadUrl]] = None (alias 'LambdaUploadUrls')

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 CreateDataPipelineResponse 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 CreateDataPipelineResponse from a dict

Return type:

Optional[Self]