Body

Body in FastAPI

In FastAPI, Body is used to declare and validate request body parameters — the data sent by the client in the body of the HTTP request, typically in JSON format.

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What Is a Request Body?

A request body is used when the client sends structured data to the server, such as:

• Creating or updating a resource
• Sending form data or JSON payloads

Example:

POST /users/
{
  "name": "Alice",
  "age": 30
}

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Basic Example Using Body

from fastapi import FastAPI, Body

app = FastAPI()

@app.post("/users/")
def create_user(name: str = Body(...), age: int = Body(...)):
    return {"name": name, "age": age}

• Body(...) marks the parameter as required
• FastAPI will:
  • Parse the JSON body
  • Validate types
  • Return a 422 error if validation fails

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Preferred Way: Use a Pydantic Model

from pydantic import BaseModel

class User(BaseModel):
    name: str
    age: int

@app.post("/users/")
def create_user(user: User):
    return user

• FastAPI automatically:
  • Parses the JSON body into a User object
  • Validates the fields
  • Generates OpenAPI docs

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Advanced Body Options

You can customize the body input with:

from fastapi import Body

@app.post("/items/")
def create_item(
    name: str = Body(..., embed=True, description="The name of the item", example="Book")
):
    return {"name": name}

• embed=True: wraps the value in a key (e.g., {"name": "Book"} instead of just "Book")
• description, example: used in API docs

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Summary

Parameter Type	Use	Example
Path	Required in URL path	/users/{id}
Query	Optional or required in URL query	?search=abc
Body	JSON or form data in request body	{ "name": "Alice" }

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In FastAPI, Body Nested refers to the use of nested Pydantic models to represent complex JSON structures in the request body. This is useful when your API expects structured data with multiple layers — like objects inside objects or lists of objects.

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Nested Body

from fastapi import FastAPI
from pydantic import BaseModel
from typing import List

app = FastAPI()

class Address(BaseModel):
    street: str
    city: str
    zip_code: str

class User(BaseModel):
    name: str
    age: int
    address: Address  # Nested model

@app.post("/users/")
def create_user(user: User):
    return user

Example JSON Body:

{
  "name": "Hoa",
  "age": 30,
  "address": {
    "street": "123 Main St",
    "city": "Hanoi",
    "zip_code": "100000"
  }
}

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Nested Lists of Models

class Item(BaseModel):
    name: str
    quantity: int

class Order(BaseModel):
    order_id: str
    items: List[Item]

@app.post("/orders/")
def create_order(order: Order):
    return order

Example JSON Body:

{
  "order_id": "ORD123",
  "items": [
    { "name": "Book", "quantity": 2 },
    { "name": "Pen", "quantity": 5 }
  ]
}

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Why Use Nested Models?

• Clean structure for complex data
• Automatic validation of nested fields
• Better documentation in Swagger UI
• Reusability of models across endpoints

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