ScheduleExecutionLogsResponse

pydantic model openapi_client.models.schedule_execution_logs_response.ScheduleExecutionLogsResponse

Success body for GET /schedules/{id}/executions/{executionid}/logs. Shape varies by logs mode and whether packaging already completed. This endpoint returns PascalCase PresignedURL. Do not add a PresignedUrl property — openapi-generator maps both to the same presigned_url attribute and the later declaration overwrites the earlier, so typed clients lose the value. PresignedUrl belongs to the dataflow execution log endpoints, not this one.

Fields:
field url: Optional[StrictStr] = None

Presigned URL for the latest log download.

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

Optional short log preview text.

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

Whether the preview was truncated.

field message: Optional[StrictStr] = None (alias 'Message')

Status message (for example when generating all logs).

field presigned_url: Optional[StrictStr] = None (alias 'PresignedURL')

Presigned URL when packaged logs=all is already available.

field additional_properties: Dict[str, Any] = {}
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 ScheduleExecutionLogsResponse 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.

  • Fields in self.additional_properties are added to the output dict.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of ScheduleExecutionLogsResponse from a dict

Return type:

Optional[Self]