quickstarts/tutorials/workflow/python/workflow-management

Workflow Management

This tutorial demonstrates the various APIs to manage a workflow instance, these methods include:

• Scheduling a workflow instance
• Getting a workflow instance state
• Suspending a workflow instance
• Resuming a workflow instance
• Terminating a workflow instance
• Purging a workflow instance

For more information on workflow management, see the Dapr docs.

Inspect the code

Open the app.py file in the tutorials/workflow/python/workflow-management/workflow_-_management/workflow_management folder. This file contains the endpoint definitions that use the workflow management API. The workflow that is being managed is named never_ending_workflow and is a counter that will keep running once it's started.

Run the tutorial

1. Use a terminal to navigate to the tutorials/workflow/python/workflow-management/workflow-management folder.

2. Install the dependencies using pip:

   pip3 install -r requirements.txt
   

3. Navigate one level back to the workflow-management folder and use the Dapr CLI to run the Dapr Multi-App run file

   ```bash
   

   dapr run -f .

   <!-- END_STEP -->
   
   

4. Use the first POST request in the workflowmanagement.http file to start the workflow.

5. Use other requests in the workflowmanagement.http file to perform other actions on the workflow, such as:

   • Getting the workflow instance state.
   • Suspending & resuming the workflow instance.
   • Terminating the workflow instance.
   • Purging the workflow instance.

6. Stop the Dapr Multi-App run process by pressing Ctrl+C.