Incorporating Redis into FastAPI

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Redis is an in-memory data structure store that can be used as a database, cache, and message broker. FastAPI is a modern web framework for building APIs with Python. In this tutorial, we will walk you through how to use Redis with FastAPI to store and retrieve data in a fast and efficient way.

  1. Install Redis and FastAPI
    First, you need to install Redis on your machine. You can download and install Redis from its official website or use a package manager like Homebrew on macOS or apt-get on Ubuntu. Once Redis is installed, you can start the Redis server by running the following command:
redis-server

Next, you need to install FastAPI and the Redis client for Python using pip:

pip install fastapi
pip install aioredis
  1. Set Up the FastAPI Application
    Create a new Python file for your FastAPI application and import the necessary modules:
from fastapi import FastAPI
import aioredis

Create a FastAPI instance and connect to the Redis database:

app = FastAPI()
redis = await aioredis.create_redis_pool('redis://localhost')
  1. Store Data in Redis
    You can store data in Redis using the set command. For example, to store a key-value pair in Redis, you can use the following code:
@app.post('/store/{key}/{value}')
async def store_data(key: str, value: str):
    await redis.set(key, value)
    return {'message': 'Data stored successfully'}
  1. Retrieve Data from Redis
    To retrieve data from Redis, you can use the get command. For example, to retrieve the value of a key stored in Redis, you can use the following code:
@app.get('/retrieve/{key}')
async def retrieve_data(key: str):
    value = await redis.get(key)
    if value:
        return {'value': value}
    else:
        return {'message': 'Key not found'}
  1. Run the FastAPI Application
    To run your FastAPI application, you can use the uvicorn command-line tool:
uvicorn app:app --reload

This command will start the FastAPI application and make it accessible at http://localhost:8000.

  1. Test the Redis Integration
    You can test the Redis integration by sending HTTP requests to your FastAPI application using a tool like cURL or Postman. For example, you can store data in Redis using a POST request:
curl -X POST http://localhost:8000/store/mykey/myvalue

And retrieve the data using a GET request:

curl http://localhost:8000/retrieve/mykey

You should see the value myvalue returned in the response.

In this tutorial, we have shown you how to use Redis with FastAPI to store and retrieve data. Redis is a powerful in-memory data store that can greatly improve the performance of your application. FastAPI is a modern and fast web framework that makes it easy to build APIs with Python. By combining Redis and FastAPI, you can create efficient and scalable applications.

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@seanfuller3095
2 months ago

Super useful – thank you

@toru6675
2 months ago

So the official solution of integrating redis to FastAPI is having the redis object just as a global object hanging around in your file. This is a joke, isn't it? It effectively prevents unit-testing and opens the door to all the bad things you can do with global variables in general. A good solution would be to provide the redis connection object over the Dependency Injection system of FastAPI.

@osquigene
2 months ago

Where and how do you initialize the redis client (session)?

@tanuvishu
2 months ago

This is way too complicated for beginners

@TIMFAJRGARNA
2 months ago

TS.DATA cant be use anymore with newer version of redist ?

@gameplaystrailers7797
2 months ago

It’s so complicated for learner like me if only they started with small project to show how Redis works with fastApi and then showed how it works with their own app that would be so much helpful

@mrrishiraj88
2 months ago

Thanks