


How to Fix '422 Unprocessable Entity' Errors When Sending JSON Data from JavaScript to FastAPI?
Troubleshooting JSON Post Requests from JavaScript to FastAPI
Introduction
When attempting to transfer JSON data from a JavaScript frontend to a FastAPI backend using a POST request, you may encounter error messages like "422 Unprocessable Entity." This article explores why this occurs and provides solutions to resolve the issue.
Error Analysis
The error indicates that your backend FastAPI endpoint is expecting a query parameter, not a JSON body. By default, non-path parameters in FastAPI endpoints are interpreted as query parameters.
Solution
There are multiple methods to address this issue and enable the posting of JSON data:
Option 1: Define a Pydantic Model
Create a Pydantic model to represent the JSON data, for example:
from pydantic import BaseModel class Item(BaseModel): eth_addr: str
In your endpoint handler:
@app.post('/ethAddress') def add_eth_addr(item: Item): return item
This requires the JSON body to be in the following format:
{ "eth_addr": "some addr" }
In your JavaScript fetch request:
//... headers: { 'Accept': 'application/json', 'Content-Type': 'application/json' }, body: JSON.stringify({ "eth_addr": "some addr" }), //...
Option 2: Use FastAPI Body() Type
from fastapi import Body @app.post('/ethAddress') def add_eth_addr(eth_addr: str = Body()): return {'eth_addr': eth_addr}
This allows direct posting of the JSON data as a string:
"some addr"
In JavaScript:
//... headers: { 'Accept': 'application/json', 'Content-Type': 'application/json' }, body: JSON.stringify("some addr"), //...
Option 3: Use FastAPI's Embed Feature (Recommended for Single Body Parameters)
from fastapi import Body @app.post('/ethAddress') def add_eth_addr(eth_addr: str = Body(embed=True)): return {'eth_addr': eth_addr}
This expects the JSON body in the same format as Option 2:
{ "eth_addr": "some addr" }
In JavaScript:
//... headers: { 'Accept': 'application/json', 'Content-Type': 'application/json' }, body: JSON.stringify({ "eth_addr": "some addr" }), //...
Conclusion
By following these solutions, you can successfully post JSON data from your JavaScript frontend to your FastAPI endpoint. Remember to choose the approach that best suits your specific requirements.
The above is the detailed content of How to Fix '422 Unprocessable Entity' Errors When Sending JSON Data from JavaScript to FastAPI?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

Regular expressions are powerful tools for pattern matching and text manipulation in programming, enhancing efficiency in text processing across various applications.

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

The article discusses popular Python libraries like NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Django, Flask, and Requests, detailing their uses in scientific computing, data analysis, visualization, machine learning, web development, and H

In Python, how to dynamically create an object through a string and call its methods? This is a common programming requirement, especially if it needs to be configured or run...
