Co-authored-by: Alice Gibbons <alicejgibbons@gmail.com> Signed-off-by: Marc Duiker <marcduiker@users.noreply.github.com> |
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basic | ||
README.md | ||
dapr.yaml | ||
fundamentals.http | ||
makefile |
README.md
Workflow Basics
This tutorial covers the fundamentals of authoring Dapr Workflows. For more information about the fundamentals of Dapr Workflows, see the Dapr docs.
Inspect the code
Open the basic_workflow.py
file in the tutorials/workflow/python/fundamentals/basic
folder. This file contains the definition for the workflow.
The workflow consists of two activities: activity1
and activity2
, which are called in sequence, where the result of activity1
is used as an input for activity2
. You can find the activity definitions below the workflow definition.
graph LR
SW((Start
Workflow))
A1[activity1]
A2[activity2]
EW((End
Workflow))
SW --> A1
A1 --> A2
A2 --> EW
Run the tutorial
-
Use a terminal to navigate to the
tutorials/workflow/python/fundamentals/basics
folder. -
Install the dependencies using pip:
pip3 install -r requirements.txt
-
Navigate one level back to the
fundamentals
folder and use the Dapr CLI to run the Dapr Multi-App run file```bash
dapr run -f .
<!-- END_STEP -->
-
Use the POST request in the
fundamentals.http
file to start the workflow, or use this cURL command:curl -i --request POST http://localhost:5254/start/One
Note the
instance_id
property in the response. This property contains the workflow instance ID. You can use this ID to get the status of the workflow instance you just started.The input for the workflow is a string with the value
One
. The expected app logs are as follows:== APP - basic == activity1: Received input: One. == APP - basic == activity2: Received input: One Two.
-
Use the GET request in the
fundamentals.http
file to get the status of the workflow, or use this cURL command:curl --request GET --url http://localhost:3554/v1.0/workflows/dapr/<INSTANCEID>
Where
<INSTANCEID>
is the workflow instance ID you received in theinstance_id
property in the previous step.The expected serialized output of the workflow is:
"\"One Two Three\""
-
Stop the Dapr Multi-App run process by pressing
Ctrl+C
.