FastAPI is a modern web framework for building APIs with Python. It is based on Python type hints and is designed to be fast, easy to use, and efficient. Redis is an open-source, in-memory data structure store that can be used as a database, cache, and message broker. In this tutorial, we will show you how to integrate Redis with FastAPI to build a simple API that stores and retrieves data from a Redis database.
Step 1: Install FastAPI and Redis
First, you need to install FastAPI and Redis. You can install FastAPI using pip by running the following command:
pip install fastapi
Next, you can install Redis by following the instructions on the official Redis website (https://redis.io/). Make sure that Redis is running on your machine before proceeding to the next steps.
Step 2: Create a FastAPI app
Create a new Python file and import the necessary modules:
from fastapi import FastAPI
Create an instance of the FastAPI app:
app = FastAPI()
Step 3: Connect to Redis
To connect to Redis from your FastAPI app, you can use the aioredis
library. Install the library using pip:
pip install aioredis
Import the library in your Python file:
import aioredis
Create a Redis connection:
redis = aioredis.from_url("redis://localhost")
Step 4: Define API endpoints
Now, you can define the API endpoints that will interact with the Redis database. For example, you can create an endpoint to store data in Redis:
@app.post("/data/{key}")
async def store_data(key: str, value: str):
await redis.set(key, value)
return {"message": "Data stored successfully"}
You can also create an endpoint to retrieve data from Redis:
@app.get("/data/{key}")
async def get_data(key: str):
value = await redis.get(key)
if value is None:
return {"message": "Data not found"}
return {"key": key, "value": value.decode()}
Step 5: Start the FastAPI app
Finally, you can start the FastAPI app by running the following command:
uvicorn app:app --reload
You can now access your FastAPI app at http://localhost:8000 and use the API endpoints to store and retrieve data from the Redis database.
In this tutorial, you learned how to integrate Redis with FastAPI to build a simple API that interacts with a Redis database. You can further enhance the app by adding more endpoints, implementing authentication and authorization, and handling errors. FastAPI and Redis provide a powerful combination for building high-performance web applications with Python.
Pretty informative, thanks.
not sure why r.json() gives me errors
What is the http command an alias for?
finally found some good stuff
Point to point in detail explaination… Thanks a lot for this amazing video
Good video. Thanks
really helpful thanks
sharp
neat
to the point
thank you, this is very helpful 👍