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README.md

Examples

This directory contains examples of how to author durable orchestrations using the Durable Task Python SDK.

Prerequisites

All the examples assume that you have a Durable Task-compatible sidecar running locally. There are two options for this:

  1. Install the latest version of the Dapr CLI, which contains and exposes an embedded version of the Durable Task engine. The setup process (which requires Docker) will configure the workflow engine to store state in a local Redis container.

  2. Clone and run the Durable Task Sidecar project locally (requires Go 1.18 or higher). Orchestration state will be stored in a local sqlite database.

Running the examples

With one of the sidecars running, you can simply execute any of the examples in this directory using python3:

python3 ./activity_sequence.py

In some cases, the sample may require command-line parameters or user inputs. In these cases, the sample will print out instructions on how to proceed.

List of examples

  • Activity sequence: Orchestration that schedules three activity calls in a sequence.
  • Fan-out/fan-in: Orchestration that schedules a dynamic number of activity calls in parallel, waits for all of them to complete, and then performs an aggregation on the results.
  • Human interaction: Orchestration that waits for a human to approve an order before continuing.