Building OpenFaaS Serverless Python Function
Serverless computing is rapidly becoming famous for deploying applications and functions without the hassle of managing the underlying infrastructure. OpenFaaS is an open-source serverless framework for building functions with Docker and Kubernetes. This article will walk you through creating an OpenFaaS serverless function using Python to detect the current weather using the OpenWeatherMap API.
Table of Contents:
- Setting Up Your OpenFaaS Environment
- Creating the Function
- Deploying the Function
- Testing the Function
- Keep Learning: More on Serverless
- OpenFaaS CLI installed
- Docker installed
- Python 3 installed
- An OpenWeatherMap API key
Setting Up Your OpenFaaS Environment
First, you need to set up an OpenFaaS environment. Then, follow the OpenFaaS documentation on deploying OpenFaaS on Kubernetes or Docker Swarm.
Creating the Function
Create a new directory for your function:
Generate a new Python function using the OpenFaaS CLI:
This command will create a
weather-function.yml file and a weather-function directory containing the function’s source code.
requirements.txt file inside the weather-function directory to include the requests library:
Replace the content of the
handler.py file inside the weather-function directory with the following code:
This function uses the
requests library to fetch the current weather data from the OpenWeatherMap API based on the provided location.
weather-function.yml file to include the
OPENWEATHERMAP_API_KEY environment variable:
YOUR_API_KEY with your actual OpenWeatherMap API key.
Deploying the Function
Build the function Docker image:
Push the function Docker image to a Docker registry (optional):
Deploy the function to your OpenFaaS environment:
Testing the Function
After deploying your function, you can test it by invoking it using the OpenFaaS CLI or sending an HTTP request to the function’s endpoint.
Using the OpenFaaS CLI:
You should receive a JSON response containing the current weather data for the specified location:
You can replace “San Francisco” with any location of your choice.
In this article, we demonstrated how to build an OpenFaaS serverless function that detects the current weather using the OpenWeatherMap API. By leveraging the flexibility and power of OpenFaaS and the simplicity of the OpenWeatherMap API, you can quickly develop and deploy serverless functions to address a wide variety of use cases. In addition, you can extend this example to include more features, such as fetching forecast data or integrating with other APIs to create a more comprehensive weather application.
Keep Learning: More on Serverless
Discover the world of serverless architecture in our comprehensive collection of articles! Equip yourself with valuable knowledge and skills in the exciting realm of serverless computing by exploring the following topics:
- What is serverless architecture and what are its pros and cons: Understand the ins and outs of serverless architecture, its advantages, and its drawbacks.
- Building serverless contact form for static websites: Learn how to create a serverless contact form for your static website.
- Serverless Technology: Exploring Cloud Providers, Benefits, Challenges, and Kubernetes Integration: Dive deeper into the serverless landscape and grasp the fundamentals of how it operates.
- Building Serverless Knative function to detect weather using OpenWeatherMap and Python: Explore a practical example of creating a serverless function with Knative, OpenWeatherMap API, and Python.
Don’t just stop there; continue your journey and delve even further into the fascinating and expansive world of serverless technologies and their endless possibilities.
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