Class Schedule (1.24.1)

Version 1.24.1

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Schedule(mapping=None, *, ignore_unknown_fields=False, **kwargs)

An instance of a Schedule periodically schedules runs to make API calls based on user specified time specification and API request type.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

Attributes
Name	Description
cron	str Cron schedule (https://en.wikipedia.org/wiki/Cron) to launch scheduled runs. To explicitly set a timezone to the cron tab, apply a prefix in the cron tab: "CRON_TZ=${IANA_TIME_ZONE}" or "TZ=${IANA_TIME_ZONE}". The ${IANA_TIME_ZONE} may only be a valid string from IANA time zone database. For example, "CRON_TZ=America/New_York 1 \* \* \* \*", or "TZ=America/New_York 1 \* \* \* \*". This field is a member of oneof_ time_specification.
create_pipeline_job_request	google.cloud.aiplatform_v1beta1.types.CreatePipelineJobRequest Request for PipelineService.CreatePipelineJob. CreatePipelineJobRequest.parent field is required (format: projects/{project}/locations/{location}). This field is a member of oneof_ request.
name	str Output only. The resource name of the Schedule.
display_name	str Required. User provided name of the Schedule. The name can be up to 128 characters long and can consist of any UTF-8 characters.
start_time	google.protobuf.timestamp_pb2.Timestamp Optional. Timestamp after which the first run can be scheduled. Default to Schedule create time if not specified.
end_time	google.protobuf.timestamp_pb2.Timestamp Optional. Timestamp after which no new runs can be scheduled. If specified, The schedule will be completed when either end_time is reached or when scheduled_run_count >= max_run_count. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
max_run_count	int Optional. Maximum run count of the schedule. If specified, The schedule will be completed when either started_run_count >= max_run_count or when end_time is reached. If not specified, new runs will keep getting scheduled until this Schedule is paused or deleted. Already scheduled runs will be allowed to complete. Unset if not specified.
started_run_count	int Output only. The number of runs started by this schedule.
state	google.cloud.aiplatform_v1beta1.types.Schedule.State Output only. The state of this Schedule.
create_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this Schedule was created.
next_run_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this Schedule should schedule the next run. Having a next_run_time in the past means the runs are being started behind schedule.
last_pause_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this Schedule was last paused. Unset if never paused.
last_resume_time	google.protobuf.timestamp_pb2.Timestamp Output only. Timestamp when this Schedule was last resumed. Unset if never resumed from pause.
max_concurrent_run_count	int Required. Maximum number of runs that can be executed concurrently for this Schedule.
allow_queueing	bool Optional. Whether new scheduled runs can be queued when max_concurrent_runs limit is reached. If set to true, new runs will be queued instead of skipped. Default to false.
catch_up	bool Output only. Whether to backfill missed runs when the schedule is resumed from PAUSED state. If set to true, all missed runs will be scheduled. New runs will be scheduled after the backfill is complete. Default to false.

Inheritance

builtins.object > proto.message.Message > Schedule

Classes

State

State(value)

Possible state of the schedule.

Values: STATE_UNSPECIFIED (0): Unspecified. ACTIVE (1): The Schedule is active. Runs are being scheduled on the user-specified timespec. PAUSED (2): The schedule is paused. No new runs will be created until the schedule is resumed. Already started runs will be allowed to complete. COMPLETED (3): The Schedule is completed. No new runs will be scheduled. Already started runs will be allowed to complete. Schedules in completed state cannot be paused or resumed.