You can define Header parameters the same way you define Query, Path and Cookie parameters. Import Header Python 3.6 full codes from typing import Union from fastapi import FastAPI, Header app = FastAPI()
Up to now, you have been using common data types, like: int float str bool But you can also use more complex data types. And you will still have the same features as seen up to now: Great editor support. Data conversion from incoming requests.
There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a dict, list, etc). For example, if you need to store it in a database. For that, FastAPI provides a jsonable_encoder() func
You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm. Call uvicorn In your FastAPI application, import and run uvicorn directly: import uvicorn from fastapi import FastAPI
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
With FastAPI, you can define, validate, document, and use arbitrarily deeply nested models (thanks to Pydantic). List fields List fields example from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI()
Now that we have seen how to use Path and Query, let's see more advanced uses of request body declarations. Mix Path, Query and body parameters example1 from typing import Union from fastapi import FastAPI, Path from pydantic import BaseModel app = Fa
Body - Fields The same way you can declare additional validation and metadata in path operation function parameters with Query, Path and Body, you can declare validation and metadata inside of Pydantic models using Pydantic's Field. Import Field First