How to create an Azure durable function in Python?
How to create an Azure durable function in Python?
To create an Azure Durable Function in Python, you'll need to follow these steps:
Step 1: Create a new Azure Functions project
Open your preferred IDE (Integrated Development Environment) and create a new project using the Azure Functions template. You can choose either the "Azure Functions" or "Azure Functions with Python" option.
Step 2: Install required packages
In your project directory, run the following command to install the necessary packages:
pip install azure-functions-python-proto
azure-functions-vscode
The first package is required for building and running Durable Functions, while the second package provides Visual Studio Code (VS Code) integration.
Step 3: Define your Python function
Create a new file named main.py
in your project directory. This file will contain the definition of your Azure Durable Function.
For example, let's create a simple "Hello World" function that uses the Durable Functions framework:
import azure.functions as func
def hello_world(name: str) -> str:
return f"Hello, {name}!"
This is just a regular Python function that takes a name
parameter and returns a greeting message.
Step 4: Create a Durable Function
To turn your regular Python function into a Durable Function, you'll need to create an instance of the DurableFunctionConfig
class and pass it as an argument to your function. Here's how you can do it:
import azure.functions as func
def hello_world(name: str) -> str:
df = func.DurableFunctionConfig(
name="HelloWorld",
bindings={
"timer": {
"schedule": "0 */5 * * * *" # runs every 5 minutes
}
}
)
return f"Hello, {name}!"
In this example, we're creating a Durable Function named "HelloWorld" that has a timer binding that triggers the function every 5 minutes.
Step 5: Create an orchestration function
An orchestration function is responsible for coordinating the execution of multiple Durable Functions. To create one, you can use the following code:
import azure.functions as func
def orchestrator(ctx):
name = ctx.bindings.get("name")
if not name:
raise ValueError("Name is required")
Call the "HelloWorld" function and get its output
hello_world_output = ctx.call_activity(
"HelloWorld",
{"name": name}
)
Return the result
return hello_world_output
This orchestration function takes a name
parameter from the timer binding, calls the hello_world
function with that name, and returns its output.
Step 6: Deploy your Azure Durable Function
Once you've created and tested your Durable Function, you can deploy it to Azure. You'll need to create an Azure Storage account and a Service Bus namespace. Then, use the func azure deployment group
command to deploy your function to Azure.
That's it! With these steps, you should now have a working Azure Durable Function written in Python.
Azure function python environment variable
I'll respond in English as per your request. Here's the information on using Python with Azure Functions and working with environment variables:
When you create an Azure Function using Python, you can set environment variables to configure your application. Environment variables are key-value pairs that are stored outside of your code, which makes it easier to manage configurations without modifying your code.
To use environment variables in a Python-based Azure Function, you need to follow these steps:
In Azure Portal: Go to the Azure portal and navigate to the function app that contains your Python function. Click on "Configuration" (located under "Platform features") and then click on "New application setting". Set the key and value for your environment variable. For example, you can set an environment variable namedMY_VAR
with a value of "hello world"
. In Function Code: In your Python code, use the os.environ.get()
function to access the environment variables. This function takes the name of the environment variable as input and returns its value. Here's how you can do it:
import os
def main(my_var):
my_value = os.environ.get('MY_VAR')
print(f"My Value: {my_value}")
In this example, os.environ.get('MY_VAR')
retrieves the value of the environment variable named MY_VAR
. You can then use this value in your code.
-e
option followed by the name-value pair. For example:
func host start -e MY_VAR="hello world"
This command sets the MY_VAR
environment variable to "hello world"
while running your function locally.
os.environ.get('MY_VAR')
.
Benefits of Using Environment Variables:
Decouples configuration from code: By storing configuration outside of your code, you can easily manage and update settings without modifying your code. Simplifies development: Environment variables simplify the process of switching between different environments (e.g., testing, staging, production) by allowing you to set unique configurations for each environment. Improves collaboration: When working in a team, using environment variables makes it easier for team members to understand and manage configuration settings.Azure Functions Python Environment Variables Example:
Here's an example of how you can use environment variables in your Azure Function written in Python:
import os
def main(my_var):
my_value = os.environ.get('MY_VAR')
if my_value == 'hello':
print("Hello world!")
else:
print(f"Hello, {my_value}!")
In this example, the os.environ.get('MY_VAR')
line retrieves the value of the environment variable MY_VAR
. The function then uses this value to print out a message.