VectorSamplingResponseModel.md

VectorSamplingResponseModel

Response schema for a vector map sampling result.

Properties

Name	Type	Description	Notes
status	str	The status of the response
user_id	str	The id of the user that issued a request
resource_id	str	The unique resource id
queue	str	The name of the queue in which the job is queued	[optional]
process_log	List[ProcessLogModel]	A list of ProcessLogModels	[optional]
process_chain_list	List[GrassModule]	The list of GRASS modules that were used in the processing	[optional]
process_results	List[List[str]]		[optional]
progress	ProgressInfoModel		[optional]
message	str	Message for the user, maybe status, finished or error message
exception	ExceptionTracebackModel		[optional]
accept_timestamp	float	The acceptance timestamp in seconds of the response
accept_datetime	str	The acceptance timestamp of the response in human readable format
timestamp	float	The current timestamp in seconds of the response
time_delta	float	The time delta of the processing in seconds	[optional]
datetime	str	The current timestamp of the response in human readable format
http_code	float	The HTTP code of the response	[optional]
urls	UrlModel		[optional]
api_info	ApiInfoModel		[optional]

Example

from actinia_openapi_python_client.models.vector_sampling_response_model import VectorSamplingResponseModel

# TODO update the JSON string below
json = "{}"
# create an instance of VectorSamplingResponseModel from a JSON string
vector_sampling_response_model_instance = VectorSamplingResponseModel.from_json(json)
# print the JSON string representation of the object
print VectorSamplingResponseModel.to_json()

# convert the object into a dict
vector_sampling_response_model_dict = vector_sampling_response_model_instance.to_dict()
# create an instance of VectorSamplingResponseModel from a dict
vector_sampling_response_model_form_dict = vector_sampling_response_model.from_dict(vector_sampling_response_model_dict)

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