This repository provides code used for exercises and demonstrations included in the Python version of the Temporal 101 training course.
It's important to remember that the example code used in this course was designed to support learning a specific aspect of Temporal, not to serve as a ready-to-use template for implementing a production system.
For the exercises, make sure to run temporal server start-dev --ui-port 8080 --db-filename clusterdata.db in one terminal to start the Temporal server. For more details on this command, please refer to the Setting up a Local Development Environment chapter in the course. Note: If you're using the Gitpod environment to run this exercise, you can skip this step.
| Directory Name | Exercise |
|---|---|
exercises/hello-workflow |
Exercise 1 |
exercises/hello-web-ui |
Exercise 2 |
exercises/farewell-workflow |
Exercise 3 |
exercises/finale-workflow |
Exercise 4 |
| Directory Name | Description |
|---|---|
demos/service-workflow |
Shows a Workflow that uses a microservice |
| Directory Name | Description |
|---|---|
samples/greeting |
The Python function with business logic for first Workflow |
samples/retry-policy |
Example of a Workflow that has a custom Retry Policy |
The following links provide additional information that you may find helpful as you work through this course.
- General Temporal Documentation
- Temporal Python SDK Documentation
- Python Language Documentation
- GitPod Documentation: Troubleshooting
You can launch an exercise environment for this course in GitPod by clicking the button below:
Alternatively, you can follow these instructions to set up your own Temporal Cluster with Docker Compose, which you can use as an exercise environment.