QueueDetailsMetrics

pydantic model openapi_client.models.queue_details_metrics.QueueDetailsMetrics

Approximate SQS message counts as integers.

Fields:

• approximate_number_of_messages (int | None)

• approximate_number_of_messages_delayed (int | None)

• approximate_number_of_messages_not_visible (int | None)

field approximate_number_of_messages: Optional[StrictInt] = None (alias 'ApproximateNumberOfMessages')

field approximate_number_of_messages_not_visible: Optional[StrictInt] = None (alias 'ApproximateNumberOfMessagesNotVisible')

field approximate_number_of_messages_delayed: Optional[StrictInt] = None (alias 'ApproximateNumberOfMessagesDelayed')

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 QueueDetailsMetrics 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 QueueDetailsMetrics from a dict

Return type:

Optional[Self]