upstash-workflow 0.0.1rc4

Python SDK for Upstash Workflow

Upstash Workflow SDK

Upstash Workflow lets you write durable, reliable and performant serverless functions. Get delivery guarantees, automatic retries on failure, scheduling and more without managing any infrastructure.

See the documentation for more details

Quick Start

Here, we will briefly showcase how you can get started with Upstash Workflow using FastAPI.

Alternatively, you can check our quickstarts for different frameworks, including FastAPI and Next.js & FastAPI.

Install

First, create a new directory and set up a virtual environment:

python -m venv venv
source venv/bin/activate

Then, install the required packages:

pip install fastapi uvicorn upstash-workflow

Get QStash token

Go to Upstash Console and copy the QSTASH_TOKEN, set it in the .env file.

export QSTASH_TOKEN=

Define a Workflow Endpoint

To declare workflow endpoints, use the @serve.post decorator. Save the following code to main.py:

from fastapi import FastAPI
from upstash_workflow.fastapi import Serve
from upstash_workflow import AsyncWorkflowContext

app = FastAPI()
serve = Serve(app)

# mock function
def some_work(input: str) -> str:
    return f"processed '{input}'"

# serve endpoint which expects a string payload:
@serve.post("/example")
async def example(context: AsyncWorkflowContext[str]) -> None:
    # get request body:
    input = context.request_payload

    async def _step1() -> str:
        output = some_work(input)
        print("step 1 input", input, "output", output)
        return output

    # run the first step:
    result: str = await context.run("step1", _step1)

    async def _step2() -> None:
        output = some_work(result)
        print("step 2 input", result, "output", output)

    # run the second step:
    await context.run("step2", _step2)

In the example, you can see that steps are declared through the context object.

The kinds of steps which are available are:

• context.run: execute a function
• context.sleep: sleep for some time
• context.sleep_until: sleep until some timestamp
• context.call: make a third party call without consuming any runtime

You can learn more about these methods from our documentation.

Run the Server

Upstash Workflow needs a public URL to orchestrate the workflow. Check out our Local Development guide to learn how to set up a local tunnel.

Create the tunnel and set the UPSTASH_WORKFLOW_URL environment variable in the .env file with the public URL:

ngrok http localhost:8000

export UPSTASH_WORKFLOW_URL=

Then, set the environment variables:

source .env

Finally, run the server:

uvicorn main:app --reload

FastAPI server will be running at localhost:8000.

Contributing

Development

1. Clone the repository
2. Install Poetry
3. Install dependencies with poetry install
4. Create a .env file with cp .env.example .env and fill in the environment variables
5. Run tests with poetry run pytest
6. Format with poetry run ruff format .
7. Check with poetry run ruff check .
8. Type check with poetry run mypy --show-error-codes .