SDK Reference
Python SDK
Scheduled Workflows

Running Scheduled Workflows

Workflows can be scheduled from the API to run at some future time by calling schedule_workflow. This method is available on the hatchet.client.admin client:

scheduled_workflow.py
from hatchet_sdk import Hatchet, ClientConfig
 
hatchet = Hatchet()
 
now = datetime.now()
future_time = now + timedelta(seconds=15)
 
workflowRun = hatchet.client.admin.schedule_workflow(
    "ManualTriggerWorkflow",
    [future_time],
    {"test": "test"},
)

This method takes the following parameters:

  • workflow_name (required): The name of the workflow to trigger. If you have not overridden the workflow name in the hatchet.workflow decorator, this should match the name of the workflow class.
  • schedule_time (required): The time at which the workflow should be scheduled to run. This should be a datetime object.
  • input (required): The input to the workflow. This should be a JSON-serializable dict.
Cron WorkflowsDocker