Skip to main content

Temporal Python SDK synchronous vs. asynchronous Activity implementations

The Temporal Python SDK supports multiple ways of implementing an Activity:

It is important to implement your Activities using the correct method, otherwise your application may fail in sporadic and unexpected ways. Which one you should use depends on your use case. This section provides guidance to help you choose the best approach.

The Python Asynchronous Event Loop and Blocking Calls​

First, let's look at how async event loops work in Python. The Python async event loop runs in a thread and executes all tasks in its thread. When any task is running in the event loop, the loop is blocked and no other tasks can be running at the same time within that event loop. Whenever a task executes an await expression, the task is suspended, and the event loop begins or resumes execution of another task.

This means that the event loop can only pass the flow of control when the await keyword is executed. If a program makes a blocking call, such as one that reads from a file, makes a synchronous request to a network service, waits for user input, or anything else that blocks the execution, the entire event loop must wait until that execution has completed.

Blocking the async event loop in Python would turn your asynchronous program into a synchronous program that executes serially, defeating the entire purpose of using asyncio. This can also lead to potential deadlock, and unpredictable behavior that causes tasks to be unable to execute. Debugging these issues can be difficult and time consuming, as locating the source of the blocking call might not always be immediately obvious.

Due to this, Python developers must be extra careful to not make blocking calls from within an asynchronous Activity, or use an async safe library to perform these actions.

For example, making an HTTP call with the popular requests library within an asynchronous Activity would lead to blocking your event loop. If you want to make an HTTP call from within an asynchronous Activity, you should use an async-safe HTTP library such as aiohttp or httpx. Otherwise, use a synchronous Activity.

Implementing Asynchronous Activities​

The following code is an asynchronous Activity Definition that's similar to one you will use during an upcoming exercise. Like the Workflow Definition you've already run, it takes a name (str) as input and returns a customized greeting (str) as output. However, this Activity makes a call to a microservice, accessed through HTTP, to request this greeting in Spanish. This activity uses the aiohttp library to make an async safe HTTP request. Using the requests library here would have resulting in blocking code within the async event loop, which will block the entire async event loop. For more in-depth information about this issue, refer to the Python asyncio documentation.

The code below also implements the Activity Definition as a class, rather than a function. The aiohttp library requires an established Session to perform the HTTP request. It would be inefficient to establish a Session every time an Activity is invoked, so instead this code accepts a Session object as an instance parameter and makes it available to the methods. This approach will also be beneficial when the execution is over and the Session needs to be closed.

In this example, the Activity supplies the name in the URL and retrieves the greeting from the body of the response.

import aiohttp
import urllib.parse
from temporalio import activity


class TranslateActivities:
    def __init__(self, session: aiohttp.ClientSession):
        self.session = session

    @activity.defn
    async def greet_in_spanish(self, name: str) -> str:
        greeting = await self.call_service("get-spanish-greeting", name)
        return greeting

    # Utility method for making calls to the microservices
    async def call_service(self, stem: str, name: str) -> str:
        base = f"http://localhost:9999/{stem}"
        url = f"{base}?name={urllib.parse.quote(name)}"

        async with self.session.get(url) as response:
            translation = await response.text()

            if response.status >= 400:
                raise ApplicationError(
                    f"HTTP Error {response.status}: {translation}",
                    # We want to have Temporal automatically retry 5xx but not 4xx
                    non_retryable=response.status < 500,
                )

            return translation

Implementing Synchronous Activities​

The following code is an implementation of the above Activity, but as a synchronous Activity Definition. When making the call to the microservice, you'll notice that it uses the requests library. This is safe to do in synchronous Activities.

import urllib.parse
import requests
from temporalio import activity


class TranslateActivities:

    @activity.defn
    def greet_in_spanish(self, name: str) -> str:
        greeting = self.call_service("get-spanish-greeting", name)
        return greeting

    # Utility method for making calls to the microservices
    def call_service(self, stem: str, name: str) -> str:
        base = f"http://localhost:9999/{stem}"
        url = f"{base}?name={urllib.parse.quote(name)}"

        response = requests.get(url)
        return response.text

In the above example we chose not to share a session across the Activity, so __init__ was removed. While requests does have the ability to create sessions, it is currently unknown if they are thread safe. Due to no longer having or needing __ini__, the case could be made here to not implement the Activities as a class, but just as decorated functions as shown below:

@activity.defn
def greet_in_spanish(name: str) -> str:
    greeting = call_service("get-spanish-greeting", name)
    return greeting

# Utility method for making calls to the microservices
def call_service(stem: str, name: str) -> str:
    base = f"http://localhost:9999/{stem}"
    url = f"{base}?name={urllib.parse.quote(name)}"

    response = requests.get(url)
    return response.text

Whether to implement Activities as class methods or functions is a design choice choice left up to the developer when cross-activity state is not needed. Both are equally valid implementations.

When Should You Use Async Activities​

Asynchronous Activities have many advantages, such as potential speed up of execution. However, as discussed above, making unsafe calls within the async event loop can cause sporadic and difficult to diagnose bugs. For this reason, we recommend using asynchronous Activities only when you are certain that your Activities are async safe and don't make blocking calls.

If you experience bugs that you think may be a result of an unsafe call being made in an asynchronous Activity, convert it to a synchronous Activity and see if the issue resolves.