DataLabsLogsResponse

pydantic model openapi_client.models.data_labs_logs_response.DataLabsLogsResponse

One page of log output.

Fields:
field log_preview: Optional[StrictStr] = None (alias 'logPreview')

Log text for this page.

field log_truncated: Optional[StrictBool] = None (alias 'logTruncated')

True when more log output remains - either this page reached its size limit or further pages are available. Always accompanied by nextToken.

field next_token: Optional[StrictStr] = None (alias 'nextToken')

Position to resume from, to be sent in the next request. Absent when there are no further pages.

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 DataLabsLogsResponse 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 DataLabsLogsResponse from a dict

Return type:

Optional[Self]