Ojasa Mirai

Ojasa Mirai

FastAPI

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Learning Level

🟢 Beginner🔵 Advanced
🚀 Request Body Basics📚 Pydantic Models📚 Nested Models📚 Field Validation📚 Multiple Bodies📚 File Uploads📚 Form Data📚 Request Examples
Fastapi/Request Bodies/Request Bodies Overview

Request Body Basics

Learn essential concepts of body basics in FastAPI.

What You'll Learn

This section covers request bodies, including:

  • Pydantic models for request validation
  • Multiple request bodies
  • File uploads and form data
  • Nested data structures
  • Field validation and examples
  • Complex request patterns

Core Concepts

Request bodies define incoming data structure:

  • **Pydantic Models**: Type-safe data validation
  • **Automatic Validation**: FastAPI validates automatically
  • **Error Handling**: Returns 422 for invalid data
  • **Documentation**: Swagger shows request schema
  • **Multiple Types**: JSON, form data, files

Basic Request Body Example

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float
    description: str = None

@app.post("/items/")
async def create_item(item: Item):
    return {"id": 1, **item.dict()}

Common Request Patterns

  • **JSON**: `@app.post("/items/")` with Pydantic model
  • **Form Data**: `Form()` for HTML form submissions
  • **File Uploads**: `UploadFile` for file handling
  • **Multiple Bodies**: Combine path params + body + query

🔑 Key Takeaways

  • ✅ Understand the purpose of body basics
  • ✅ Know when to apply this pattern
  • ✅ Follow best practices consistently
  • ✅ Test thoroughly in production scenarios

Next step: Explore the advanced section for production patterns and optimization techniques.


Resources

Python Docs

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