FastAPI + MongoDB pagination example!
In this tutorial, we will explore how to implement pagination in FastAPI using a MongoDB database. We will create a simple REST API that returns a list of items from a MongoDB collection and paginates the results.
Step 1:
Set up the Database
First, you will need to install MongoDB and create a collection to work with. For this tutorial, we will create a collection called "items" with the following schema:
{
"_id": ObjectId("5f5d1b5cf2e5fe712f0c1b5a"),
"name": "Item 1",
"description": "This is item 1"
}
Step 2:
Install Dependencies
Next, install the necessary dependencies. You will need to install the following libraries:
pip install fastapi
pip install uvicorn
pip install pymongo
Step 3:
Create a FastAPI app
Once you have installed the dependencies, create a new file called "main.py" and import the necessary libraries:
from fastapi import FastAPI, HTTPException
from pymongo import MongoClient
from bson.objectid import ObjectId
Next, create a FastAPI app instance:
app = FastAPI()
Step 4:
Define the Pagination Endpoint
Now that the app is set up, define the pagination endpoint:
@app.get("/items/")
async def get_items(page: int = 1, limit: int = 10):
client = MongoClient("mongodb://localhost:27017/")
db = client["mydatabase"]
items = db["items"].find().skip((page - 1) * limit).limit(limit)
return list(items)
This endpoint takes in two query parameters: page and limit. page specifies the page number and defaults to 1, while limit specifies the number of items per page and defaults to 10. The endpoint uses the skip() and limit() methods of the MongoDB find() method to paginate the results.
Step 5:
Start the Server
Finally, start the server using the "uvicorn" library:
uvicorn main:app --reload
This will start the server on localhost:8000. You can now test the pagination endpoint using a tool like Postman. To get the second page of results, for example, you can make a GET request to http://localhost:8000/items?page=2.
Conclusion
In this tutorial, we have explored how to implement pagination in FastAPI using a MongoDB database. By using MongoDB skip() and limit() methods, we were able to paginate the results and return a subset of the items. FastAPI makes it easy to create a robust REST API in Python, and with MongoDB, we can store and retrieve data quickly and efficiently.
I hope this helps, you!!
More such articles:
https://www.youtube.com/channel/UCiTaHm1AYqMS4F4L9zyO7qA
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