DataLoadStatistics

pydantic model openapi_client.models.data_load_statistics.DataLoadStatistics

Data load statistics across all configured target locations. RecentExecutions values are comma-separated strings (“{count},{timestamp}”). CurrentMessagesInQueue values are approximate SQS queue depths.

Fields:

• current_messages_in_queue (openapi_client.models.message_counts.MessageCounts | None)

• recent_executions (openapi_client.models.limits.Limits | None)

field recent_executions: Optional[Limits] = None (alias 'RecentExecutions')

Recent dataload execution counts per target location. Each value is a comma-separated string in the format “{count},{timestamp}”.

field current_messages_in_queue: Optional[MessageCounts] = None (alias 'CurrentMessagesInQueue')

Approximate SQS queue message counts per target location.

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 DataLoadStatistics 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 DataLoadStatistics from a dict

Return type:

Optional[Self]