Required Request Body Is Missing | Spring Boot Tutorial – @Requestbody Annotation With Example 232 개의 자세한 답변

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Spring post method “Required request body is missing”

HttpMessageNotReadableException: Required request body is missing:… My issue was that, when I was making requests from Postman, …

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Source: stackoverflow.com

Date Published: 10/24/2021

View: 7746

[FIXED] Spring post method “Required request body is missing”

Issue. @PostMapping(path=”/login”) public ResponseEntity loginUser(@RequestBody Map userData) throws Exception …

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Source: www.javafixing.com

Date Published: 8/30/2021

View: 7153

Required request body is missing: org.springframework.http …

I use “Postman” for json request. Codes are not wrong. I simply set content type to JSON(application/json) as shown in link for my code, and it worked.

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Source: github.com

Date Published: 2/16/2021

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Bug: Required request body is missing – PeakU

Bug: Required request body is missing. I’m trying spring framework. I have RestController and function: @RequestMapping(value=”/changePass”, …

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Source: peaku.co

Date Published: 11/23/2021

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How to send body using GET method of HTTP Request activity

… a GET Request to some URL, and I keep receiving the result “Bad Request”,“status”:400,“detail”:”Required request body is missing: p…

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Source: forum.uipath.com

Date Published: 10/5/2022

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rest – Spring post method “Required request body is missing”

You have to pass that as JSON in your body, if it’s a POST request. enter image description here.

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RequestBody,异常Required request body is missing错误解决

前言Required request body is missing 缺少所需的请求体异常org.springframework.http.conver…

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What format has the front JSON data passed to the back end …

HttpMessageNotReadableException: Required request body is missing: public java.lang. … String parameters need not be preceded by @RequestBody.

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Date Published: 7/12/2021

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주제와 관련된 이미지 required request body is missing

주제와 관련된 더 많은 사진을 참조하십시오 Spring boot tutorial – @RequestBody annotation with example. 댓글에서 더 많은 관련 이미지를 보거나 필요한 경우 더 많은 관련 기사를 볼 수 있습니다.

Spring boot tutorial - @RequestBody annotation with example
Spring boot tutorial – @RequestBody annotation with example

주제에 대한 기사 평가 required request body is missing

  • Author: B2 Tech
  • Views: 조회수 11,351회
  • Likes: 좋아요 135개
  • Date Published: 2021. 2. 17.
  • Video Url link: https://www.youtube.com/watch?v=nsQb5Au6EHQ

Do post requests require a body?

A POST request requires a body in which you define the data of the entity to be created. A successful POST request would be a 200 response code.

What is the body of a request?

A request body is data sent by the client to your API. A response body is the data your API sends to the client. Your API almost always has to send a response body. But clients don’t necessarily need to send request bodies all the time.

How do I request body in spring boot?

Simply put, the @RequestBody annotation maps the HttpRequest body to a transfer or domain object, enabling automatic deserialization of the inbound HttpRequest body onto a Java object. Spring automatically deserializes the JSON into a Java type, assuming an appropriate one is specified.

What is request body used for?

Request bodies are typically used with “create” and “update” operations (POST, PUT, PATCH). For example, when creating a resource using POST or PUT, the request body usually contains the representation of the resource to be created. OpenAPI 3.0 provides the requestBody keyword to describe request bodies.

How do I send a body in a POST request?

The body format is defined by the Content-Type header. When using a HTML FORM element with method=”POST” , this is usually application/x-www-form-urlencoded . Another very common type is multipart/form-data if you use file uploads.

Can you send request body?

Yes, you can send a request body with GET but it should not have any meaning.

How do I check my body request?

You can view the exact data sent to and received from the server in the Request Body and Response Body panels.

Viewing the Actual Request Body
  1. Select the request in the request list.
  2. Switch to the Request Body panel.
  3. Explore the data the panel displays. It contains the body of the request sent to the server.

How do I add a body to a postman request?

Create a PUT Request
  1. Step 1 − Click on the New menu from the Postman application. …
  2. Step 2 − SAVE REQUEST pop-up comes up. …
  3. Step 3 − The Request name (Test1) gets reflected on the Request tab. …
  4. Step 4 − Move to the Body tab below the address bar and select the option raw.
  5. Step 5 − Then choose JSON from the Text dropdown.

What is header and body in HTTP request?

The start-line and HTTP headers of the HTTP message are collectively known as the head of the requests, whereas its payload is known as the body.

Can we send request body in GET request in Spring boot?

In this article, we will discuss how to get the body of the incoming request in the spring boot. @RequestBody: Annotation is used to get request body in the incoming request. Note: First we need to establish the spring application in our project. Step 2: Click on Generate which will download the starter project.

What is @RequestBody and @ResponseBody in Spring boot?

By using @RequestBody annotation you will get your values mapped with the model you created in your system for handling any specific call. While by using @ResponseBody you can send anything back to the place from where the request was generated. Both things will be mapped easily without writing any custom parser etc.

Is @RequestBody required with @RestController?

If you don’t add @RequestBody it will insert null values (should use), no need to use @ResponseBody since it’s part of @RestController.

How do you send a body request on REST API?

The first REST API request in a session must be a sign-in request. This is a POST request that sends the user credentials in the body of the request. Because this is a POST request, the request must include the Content-Type header. You can send your the body of the request block as XML or JSON.

How do I request a body in node JS?

Get HTTP request body data using Node
  1. const bodyParser = require(‘body-parser’) app. use( bodyParser. urlencoded({ extended: true, }) ) app. …
  2. const server = http. createServer((req, res) => { // we can access HTTP headers req. …
  3. const server = http. createServer((req, res) => { let data = [] req.

Is request payload same as request body?

So Yes, they are the same thing. Show activity on this post. So basically the only difference between HTTP message body and HTTP message payload body is encoding (but only if present). So generalizing the term request payload = request body.

How does a POST request work?

By design, the POST request method requests that a web server accept the data enclosed in the body of the request message, most likely for storing it. It is often used when uploading a file or when submitting a completed web form. In contrast, the HTTP GET request method retrieves information from the server.

What is the difference between POST and GET request?

GET retrieves a representation of the specified resource. POST is for writing data, to be processed to the identified resource. 2. It typically has relevant information in the URL of the request.

Spring post method “Required request body is missing”

This is happening because you are not passing a body to you server. As can I see in your screenshot you are passing email and password as a ResquestParam.

To handle this values, you can do the following:

@PostMapping(path=”/login”) public ResponseEntity loginUser(@RequestParam(“email”) String email, @RequestParam(“password”) String password) { //your imp }

In order to accept an empty body you can use the required param in the RequestBody annotation:

@RequestBody(required = false)

But this will not solve your problem. Receiving as RequestParam will.

If you want to use RequestBody you should pass the email and password in the body.

[FIXED] Spring post method “Required request body is missing”

Issue

@PostMapping(path=”/login”) public ResponseEntity loginUser(@RequestBody Map userData) throws Exception { return ResponseEntity.ok(userService.login(userData)); }

I have this method for the login in the UserController. The problem is when i try to make the post request for the login i get this error:

{ “timestamp”: “2018-10-24T16:47:04.691+0000”, “status”: 400, “error”: “Bad Request”, “message”: “Required request body is missing: public org.springframework.http.ResponseEntity org.scd.controller.UserController.loginUser(java.util.Map) throws java.lang.Exception”, “path”: “/users/login” }

Solution

You have to pass that as JSON in your body, if it’s a POST request.

Answered By – cosmos

Required request body is missing: org.springframework.http.ResponseEntity · Issue #23 · spring-guides/tut-rest · GitHub

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HTTP Request Methods – Get vs Put vs Post Explained with Code Examples

In this article, we’ll be discussing the get, put, and post HTTP methods. You’ll learn what each HTTP method is used for as well as why we use them.

In order to get a deep understanding of how HTTP methods work, I’ll also go over key context and background information.

Topics we’ll cover in this post:

HTTP Protocol

Client-server architecture

APIs

By the end of this article you’ll have a good understanding of the functions of each request method. You’ll also have experience making requests and working with a web API.

What is HTTP?

HTTP is a protocol, or a definite set of rules, for accessing resources on the web. Resources could mean anything from HTML files to data from a database, photos, text, and so on.

These resources are made available to us via an API and we make requests to these APIs via the HTTP protocol. API stands for application programming interface. It is the mechanism that allows developers to request resources.

Client-Server Architecture

In order to understand the HTTP methods, it’s important to cover the concept of client/server architecture. This architecture describes how all web applications work and defines the rules for how they communicate.

A client application is the one that a user is actually interacting with, that’s displaying the content. A server application is the one that sends the content, or resource, to your client application. A server application is a program that is running somewhere, listening, and waiting for a request.

The main reason for this separation is to secure sensitive information. Your entire client application gets downloaded into the browser, and all of the data can be accessed by anyone accessing your web page.

This architecture helps protect things like your API keys, personal data, and more. Now modern tools like Next.js and Netlify allow developers to run server code in the same app as their client app, without needing a dedicated server application.

Client-Server Communication

Client and server applications communicate by sending individual messages on an as-needed basis, rather than an ongoing stream of communication.

These communications are almost always initiated by clients in the form of requests. These requests are fulfilled by the server application which sends back a response containing the resource you requested, among other things.

Why We Need A Server-Client Architecture

Let’s say you were building a weather web app, for example. The weather app that your user is going to interact with is the client application – it has buttons, a search bar, and displays data like city name, current temperature, AQI, and so on.

This weather app wouldn’t have every city and its weather information coded directly into it. This would make the app bloated and slow, would take forever to research and manually add to a database, and would be a headache to update every single day.

Instead, the app can access weather data by city using the Weather web API. Your app would gather your user’s location and then make a request to the server saying, “Hey, send me the weather information for this specific city.”

Depending on what you are trying to achieve, you would use the various request methods that are available. The server sends back a response containing the weather information and a few other things, depending on how the API is written. It may also send back things like a timestamp, the region this city is located in, and more.

Your client application communicated with a server application running somewhere, whose only job is to listen continuously for a request to that address. When it receives a request, it works to fulfill that request either by reading from a database, another API, local file, or a programmatic calculation based on data you pass in.

The Anatomy of an HTTP Request

An HTTP request must have the following:

An HTTP method (like GET )

) A host URL (like https://api.spotify.com/ )

) An endpoint path(like v1/artists/{id}/related-artists )

A request can also optionally have:

Body

Headers

Query strings

HTTP version

The Anatomy of an HTTP Response

A response must have the following:

Protocol version (like HTTP/1.1 )

) Status code (like 200 )

) Status text ( OK )

) Headers

A response may also optionally have:

Body

HTTP Methods Explained

Post Malone implies the existence of Get, Put, Patch, and Delete Malone. — Paul Ford (@ftrain) November 15, 2019

Now that we know what HTTP is and why it’s used, let’s talk about the different methods we have available to us.

In the weather app example above, we wanted to retrieve weather information about a city. But what if we wanted to submit weather information for a city?

In real life, you probably wouldn’t have permissions to alter someone else’s data, but let’s imagine that we are contributors to a community-run weather app. And in addition to getting the weather information from an API, members in that city could update this information to display more accurate data.

Or what if we wanted to add a new city altogether that, for some reason, doesn’t already exist in our database of cities? These are all different functions – retrieve data, update data, create new data – and there are HTTP methods for all of these.

HTTP POST request

We use POST to create a new resource. A POST request requires a body in which you define the data of the entity to be created.

A successful POST request would be a 200 response code. In our weather app, we could use a POST method to add weather data about a new city.

HTTP GET request

We use GET to read or retrieve a resource. A successful GET returns a response containing the information you requested.

In our weather app, we could use a GET to retrieve the current weather for a specific city.

HTTP PUT request

We use PUT to modify a resource. PUT updates the entire resource with data that is passed in the body payload. If there is no resource that matches the request, it will create a new resource.

In our weather app, we could use PUT to update all weather data about a specific city.

HTTP PATCH request

We use PATCH to modify a part of a resource. With PATCH , you only need to pass in the data that you want to update.

In our weather app, we could use PATCH to update the rainfall for a specified day in a specified city.

HTTP DELETE request

We use DELETE to delete a resource. In our weather app, we could use DELETE to delete a city we no longer wanted to track for some reason.

HTTP Method FAQs

What’s the difference between PUT and POST?

PUT requests are idempotent, meaning that executing the same PUT request will always produce the same result.

On the other hand, a POST will produce different outcomes. If you execute a POST request multiple times, you’ll create a new resource multiple times despite them having the same data being passed in.

Using a restaurant analogy, POST ing multiple times would create multiple separate orders, whereas multiple PUT requests will update the same existing order.

What’s the difference between PUT and PATCH?

The key differences are that PUT will create a new resource if it cannot find the specified resource. And with PUT you need to pass in data to update the entire resource, even if you only want to modify one field.

With PATCH , you can update part of a resource by simply passing in the data of the field to be updated.

If you just want to update part of your resource, you still need to send in data for the entire resource when you make a PUT request. The better-suited option here would be PATCH .

Why is a body optional for a request and response?

A body is optional because for some requests, like resource retrievals using the GET method, there is nothing to specify in the body of your request. You are requesting all data from the specified endpoint.

Similarly, a body is optional for some responses when a status code is sufficient or there is nothing to specify in the body, for example with a DELETE operation.

HTTP Request Examples

Now that we’ve covered what an HTTP request is, and why we use them, let’s make some requests! We’re going to be playing with the GitHub Gist API.

“Gist is a simple way to share snippets and pastes with others. All Gists are Git repositories, so they are automatically versioned, forkable and usable from Git.” (Source: Github)

You will need a GitHub account for this. If you don’t already have one, this is a great opportunity to start one to save your code in the future.

Every user on GitHub can create gists, retrieve their gists, retrieve all public gists, delete a gist, and update a gist, amongst other things. To keep things simple we will use Hoppscotch, a platform with a nice interface used to quickly and easily make HTTP requests.

A quick Hoppscotch walkthrough:

There is a drop down menu where you can select the method you want to create a request with.

There is a text box where you should paste the URL of of the API endpoint you want to access.

There is a Headers section where we will be passing in headers as instructed by the GitHub docs.

There is a body area where we will pass in content to our body as instructed by the GitHub docs.

The right column will quickly let you know if your request was successful. If it is green, you successfully made your request, and if it’s red there was an error.

How to Make a GET Request

To make a GET request to retrieve all of a specific users’ gists, we can use the following method and endpoint: GET /users/{username}/gists . The documentation tells us the parameters that we can pass in to make this request.

We see that in the path we have to pass in a string with the target user’s username. We also see that we have to pass in a header called accept and set it to application/vnd.github.v3+json .

We’re given the URL for this API:

https://api.github.com

We’re given the endpoint path for this specific operation:

/users/{username}/gists

To make this request:

Paste in the full URL + path in the input field of Hoppscotch. Be sure to replace username with an actual username. If you don’t have a GitHub with existing Gists, you can use mine: camiinthisthang. Select the GET request method In the Headers tab, set accept as a header and set the value to application/vnd.github.v3+json

4. Hit send!

At the bottom, you’ll see your response formatted as JSON . In order to read this more clearly, copy the response and paste it into an online JSON formatter.

In the formatter, you’re able to tell that the response is an array of objects. Each object represents one gist, showing us information like the URL, the ID, etc.

How to Make a POST Request

Now let’s create a resource using the POST method. In this context, the new resource would be a new gist.

First we’ll have to create a personal access token. To do that, go to your settings page and hit Generate token.

Name your token and select the scope “Create Gists”:

Then click the green Generate token button at the bottom of the page.

Copy your access code and paste it somewhere you can easily retrieve it.

Now we’re ready to make our request! The documentation tells us we should pass in a header, and a files object in the body. We can optionally pass in a few other things, including a boolean that dictates if this gist is public or private.

We’re given the URL for this API:

https://api.github.com

We’re given the endpoint path for this specific operation:

/gists

To make this request:

Paste the full URL + path into the input field of Hoppscotch. Select the POST request method In the Headers tab, set accept as a header and set the value to application/vnd.github.v3+json In the Body tab, set the content type to application/json . Then start off with an object {} .

Inside of this object, we’ll set the public boolean to true . Then we’ll define the property files , and the value is another object with a key of the name of your new gist. The value for this should be another object whose key is content . The value here should be whatever you want to actually add to the gist.

Here is the code for you to copy/paste:

{ “public”: true, “files”: { “postgist.txt”: { “content”: “Adding a GIST via the API!!” } } }

5. In the Authorization tab, set the authorization type to Basic Auth . Type in your Github username and pass your personal access token we created in the password field.

After we run this, we get a long response. An easy way to check that your gist was created is to go to your Gists in GitHub.

We see that we successfully added a Gist!

How to Make a PATCH Request

Let’s update the title and description of the Gist we just created. Remember: PATCH allows you to update a part of a resource, not the entire resource. Anything that we don’t pass in will remain unchanged.

We didn’t actually pass a description to our Gist when we created it, so we can patch this and create one.

We’re given the URL for this API:

https://api.github.com

We’re given the endpoint path for this specific operation:

/gists/{gist_id}

To make this request:

Paste in the full URL + path in the input field of Hoppscotch. Get the Gist ID of the gist you want to update. You can find the ID by going to the Gist in GitHub and copying the alphanumeric string at the end of the URL.

2. Select the PATCH request method.

3. In the Headers tab, set accept as a header and set the value to application/vnd.github.v3+json .

4. In the Authorization tab, set the authorization type to Basic Auth . Type in your GitHub username and pass your personal access token we created in the password field.

5. In the Body tab, we’ll pass in the updated description and title. Here is the code:

{ “description”: “Adding a description via the API”, “files”: { “postgist.txt”: { “content”: “Adding a GIST via the API!! — adding this line at the end to make the content slightly longer” } } }

If we refresh our Gist, we see that we have an updated title and description!

How to Make a DELTE Request

Let’s delete the Gist we created. We should pass in the header and the Gist ID.

We’re given the URL for this API:

https://api.github.com

We’re given the endpoint path for this specific operation:

/gists/{gist_id}

To make this request:

Paste in the full URL + path in the input field of Hoppscotch. Get the Gist ID of the gist you want to update. You can find the ID by going to the Gist in GitHub and copying the alphanumeric string at the end of the URL.

2. Select the DELETE request method

3. In the Headers tab, set accept as a header and set the value to application/vnd.github.v3+json .

If we navigate to our Gists, we see that this one doesn’t exist and we successfully deleted the resource.

How to Make Requests in Your App

We used Hoppscotch because it lets us quickly make requests without having to spin up a whole app or download anything.

If you wanted to make requests in a JavaScript/React app, you could use Javascript fetch or Axios.

For a step-by-step code walk through of how to make a simple app that uses HTTP request methods and an API, check out my video on youtube where we create a web app that displays information about all of the countries via an API.

You Did It!

If you’re reading this, go ahead and give yourself a pat on the back because you’ve learned about web APIs, the HTTP protocol, the client-server architecture – and you’ve also made your first requests.

If you liked this style of teaching, I create content specifically for beginners and early-career engineers on YouTube, Tik Tok, Twitter, and Hashnode. You can also find code snippets and a way to reach me via my personal website.

Request Body

Request Body¶

When you need to send data from a client (let’s say, a browser) to your API, you send it as a request body.

A request body is data sent by the client to your API. A response body is the data your API sends to the client.

Your API almost always has to send a response body. But clients don’t necessarily need to send request bodies all the time.

To declare a request body, you use Pydantic models with all their power and benefits.

Info To send data, you should use one of: POST (the more common), PUT , DELETE or PATCH . Sending a body with a GET request has an undefined behavior in the specifications, nevertheless, it is supported by FastAPI, only for very complex/extreme use cases. As it is discouraged, the interactive docs with Swagger UI won’t show the documentation for the body when using GET , and proxies in the middle might not support it.

Import Pydantic’s BaseModel ¶

First, you need to import BaseModel from pydantic :

Python 3.6 and above Python 3.10 and above from typing import Union from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : Union [ str , None ] = None price : float tax : Union [ float , None ] = None app = FastAPI () @app . post ( “/items/” ) async def create_item ( item : Item ): return item from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : str | None = None price : float tax : float | None = None app = FastAPI () @app . post ( “/items/” ) async def create_item ( item : Item ): return item

Create your data model¶

Then you declare your data model as a class that inherits from BaseModel .

Use standard Python types for all the attributes:

Python 3.6 and above Python 3.10 and above from typing import Union from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : Union [ str , None ] = None price : float tax : Union [ float , None ] = None app = FastAPI () @app . post ( “/items/” ) async def create_item ( item : Item ): return item from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : str | None = None price : float tax : float | None = None app = FastAPI () @app . post ( “/items/” ) async def create_item ( item : Item ): return item

The same as when declaring query parameters, when a model attribute has a default value, it is not required. Otherwise, it is required. Use None to make it just optional.

For example, this model above declares a JSON ” object ” (or Python dict ) like:

{ “name” : “Foo” , “description” : “An optional description” , “price” : 45.2 , “tax” : 3.5 }

…as description and tax are optional (with a default value of None ), this JSON ” object ” would also be valid:

{ “name” : “Foo” , “price” : 45.2 }

Declare it as a parameter¶

To add it to your path operation, declare it the same way you declared path and query parameters:

Python 3.6 and above Python 3.10 and above from typing import Union from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : Union [ str , None ] = None price : float tax : Union [ float , None ] = None app = FastAPI () @app . post ( “/items/” ) async def create_item ( item : Item ): return item from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : str | None = None price : float tax : float | None = None app = FastAPI () @app . post ( “/items/” ) async def create_item ( item : Item ): return item

…and declare its type as the model you created, Item .

With just that Python type declaration, FastAPI will:

Read the body of the request as JSON.

Convert the corresponding types (if needed).

Validate the data. If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data.

Give you the received data in the parameter item . As you declared it in the function to be of type Item , you will also have all the editor support (completion, etc) for all of the attributes and their types.

. Generate JSON Schema definitions for your model, you can also use them anywhere else you like if it makes sense for your project.

Those schemas will be part of the generated OpenAPI schema, and used by the automatic documentation UIs .

Automatic docs¶

The JSON Schemas of your models will be part of your OpenAPI generated schema, and will be shown in the interactive API docs:

And will be also used in the API docs inside each path operation that needs them:

Editor support¶

In your editor, inside your function you will get type hints and completion everywhere (this wouldn’t happen if you received a dict instead of a Pydantic model):

You also get error checks for incorrect type operations:

This is not by chance, the whole framework was built around that design.

And it was thoroughly tested at the design phase, before any implementation, to ensure it would work with all the editors.

There were even some changes to Pydantic itself to support this.

The previous screenshots were taken with Visual Studio Code.

But you would get the same editor support with PyCharm and most of the other Python editors:

Tip If you use PyCharm as your editor, you can use the Pydantic PyCharm Plugin. It improves editor support for Pydantic models, with: auto-completion

type checks

refactoring

searching

inspections

Use the model¶

Inside of the function, you can access all the attributes of the model object directly:

Python 3.6 and above Python 3.10 and above from typing import Union from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : Union [ str , None ] = None price : float tax : Union [ float , None ] = None app = FastAPI () @app . post ( “/items/” ) async def create_item ( item : Item ): item_dict = item . dict () if item . tax : price_with_tax = item . price + item . tax item_dict . update ({ “price_with_tax” : price_with_tax }) return item_dict from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : str | None = None price : float tax : float | None = None app = FastAPI () @app . post ( “/items/” ) async def create_item ( item : Item ): item_dict = item . dict () if item . tax : price_with_tax = item . price + item . tax item_dict . update ({ “price_with_tax” : price_with_tax }) return item_dict

Request body + path parameters¶

You can declare path parameters and request body at the same time.

FastAPI will recognize that the function parameters that match path parameters should be taken from the path, and that function parameters that are declared to be Pydantic models should be taken from the request body.

Python 3.6 and above Python 3.10 and above from typing import Union from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : Union [ str , None ] = None price : float tax : Union [ float , None ] = None app = FastAPI () @app . put ( “/items/ {item_id} ” ) async def create_item ( item_id : int , item : Item ): return { “item_id” : item_id , ** item . dict ()} from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : str | None = None price : float tax : float | None = None app = FastAPI () @app . put ( “/items/ {item_id} ” ) async def create_item ( item_id : int , item : Item ): return { “item_id” : item_id , ** item . dict ()}

Request body + path + query parameters¶

You can also declare body, path and query parameters, all at the same time.

FastAPI will recognize each of them and take the data from the correct place.

Python 3.6 and above Python 3.10 and above from typing import Union from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : Union [ str , None ] = None price : float tax : Union [ float , None ] = None app = FastAPI () @app . put ( “/items/ {item_id} ” ) async def create_item ( item_id : int , item : Item , q : Union [ str , None ] = None ): result = { “item_id” : item_id , ** item . dict ()} if q : result . update ({ “q” : q }) return result from fastapi import FastAPI from pydantic import BaseModel class Item ( BaseModel ): name : str description : str | None = None price : float tax : float | None = None app = FastAPI () @app . put ( “/items/ {item_id} ” ) async def create_item ( item_id : int , item : Item , q : str | None = None ): result = { “item_id” : item_id , ** item . dict ()} if q : result . update ({ “q” : q }) return result

The function parameters will be recognized as follows:

If the parameter is also declared in the path , it will be used as a path parameter.

, it will be used as a path parameter. If the parameter is of a singular type (like int , float , str , bool , etc) it will be interpreted as a query parameter.

(like , , , , etc) it will be interpreted as a parameter. If the parameter is declared to be of the type of a Pydantic model, it will be interpreted as a request body.

Note FastAPI will know that the value of q is not required because of the default value = None . The Union in Union[str, None] is not used by FastAPI, but will allow your editor to give you better support and detect errors.

Without Pydantic¶

If you don’t want to use Pydantic models, you can also use Body parameters. See the docs for Body – Multiple Parameters: Singular values in body.

Spring’s RequestBody and ResponseBody Annotations

Flakiness in REST requests is a common issue. A request can get a 200 OK in one scenario and a 409 next time. Sometimes a request can even succeed and fail intermittently on the same exact request. In short,

Also, while it’s easy enough to debug these issues locally when developing the application, we’re talking about production here – we can’t afford the downtime while you’re stepping in and out of code. Uptime is kind of the whole point.

With Lightrun, you can get the same level of access you get with a local debugger or profiler – no downtime required. You can add logs, metrics, and snapshots (think breakpoints, but without stopping the running service), in a safe and read-only manner -. Performance and security are maintained throughout the process.

Learn how to debug a live REST API (built with Spring, of course), using Lightrun, in this 5-minute tutorial:

Describing Request Body

OAS 3 This guide is for OpenAPI 3.0. If you use OpenAPI 2.0, see our OpenAPI 2.0 guide.

Describing Request Body

requestBody

Differences From OpenAPI 2.0

Body and form parameters are replaced with requestBody .

. Operations can now consume both form data and other media types such as JSON.

The consumes array is replaced with the requestBody.content map which maps the media types to their schemas.

array is replaced with the map which maps the media types to their schemas. Schemas can vary by media type.

anyOf and oneOf can be used to specify alternate schemas.

and can be used to specify alternate schemas. Form data can now contain objects, and you can specify the serialization strategy for objects and arrays.

GET, DELETE and HEAD are no longer allowed to have request body because it does not have defined semantics as per RFC 7231.

requestBody, content and Media Types

body

formData

requestBody

requestBody

requestBody

content

description

required

false

content

application/json

schema

required: true

paths: /pets: post: summary: Add a new pet requestBody: description: Optional description in *Markdown* required: true content: application/json: schema: $ref: ‘#/components/schemas/Pet’ application/xml: schema: $ref: ‘#/components/schemas/Pet’ application/x-www-form-urlencoded: schema: $ref: ‘#/components/schemas/PetForm’ text/plain: schema: type: string responses: ‘201’: description: Created

content

image/*

*/*

application/octet-stream

image/png

image/*

*/*

paths: /avatar: put: summary: Upload an avatar requestBody: content: image/*: # Can be image/png, image/svg, image/gif, etc. schema: type: string format: binary

anyOf, oneOf

anyOf

oneOf

requestBody: description: A JSON object containing pet information content: application/json: schema: oneOf: – $ref: ‘#/components/schemas/Cat’ – $ref: ‘#/components/schemas/Dog’ – $ref: ‘#/components/schemas/Hamster’

File Upload

Request Body Examples

example

examples

example

examples

requestBody.content.

example

requestBody: content: application/json: schema: $ref: ‘#/components/schemas/Pet’ example: name: Fluffy petType: dog

examples

$ref

summary

description

requestBody: content: application/json: schema: $ref: ‘#/components/schemas/Pet’ examples: dog: # <--- example name summary: An example of a dog value: # vv Actual payload goes here vv name: Fluffy petType: dog cat: # <--- example name summary: An example of a cat externalValue: http://api.example.com/examples/cat.json # cat.json contains {"name": "Tiger", "petType": "cat"} hamster: # <--- example name $ref: '#/components/examples/hamster' components: examples: hamster: # <--- example name summary: An example of a hamster value: # vv Actual payload goes here vv name: Ginger petType: hamster Reusable Bodies components.requestBodies $ref paths: /pets: post: summary: Add a new pet requestBody: $ref: '#/components/requestBodies/PetBody' /pets/{petId} put: summary: Update a pet parameters: [ ... ] requestBody: $ref: '#/components/requestBodies/PetBody' components: requestBodies: PetBody: description: A JSON object containing pet information required: true content: application/json: schema: $ref: '#/components/schemas/Pet' Form Data application/x-www-form-urlencoded multipart/form-data application/x-www-form-urlencoded is used to send simple ASCII text data as key=value pairs. The payload format is similar to query parameters. is used to send simple ASCII text data as pairs. The payload format is similar to query parameters. multipart/form-data allows submitting binary data as well as multiple media types in a single message (for example, image and JSON). Each form field has its own section in the payload with internal HTTP headers. multipart requests are commonly used for file uploads.

POST /survey HTTP/1.1 Host: example.com Content-Type: application/x-www-form-urlencoded Content-Length: 28 name=Amy+Smith&fav_number=42

type: object

paths: /survey: post: requestBody: required: true content: application/x-www-form-urlencoded: schema: type: object properties: name: #

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