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docs/en/docs/how-to/async-sql-encode-databases.md
``` !!! note Notice that as we communicate with the database using `await`, the *path operation function* is declared with `async`. ### Notice the `response_model=List[Note]` It uses `typing.List`. That documents (and validates, serializes, filters) the output data, as a `list` of `Note`s. ## Create notes Create the *path operation function* to create notes: ```Python hl_lines="61-65"
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docs_src/query_params_str_validations/tutorial002_an.py
from typing import Union from fastapi import FastAPI, Query from typing_extensions import Annotated app = FastAPI() @app.get("/items/") async def read_items(q: Annotated[Union[str, None], Query(max_length=50)] = None): results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]} if q: results.update({"q": q})
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docs_src/query_params_str_validations/tutorial004_an.py
from typing import Union from fastapi import FastAPI, Query from typing_extensions import Annotated app = FastAPI() @app.get("/items/") async def read_items( q: Annotated[ Union[str, None], Query(min_length=3, max_length=50, pattern="^fixedquery$") ] = None, ): results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]} if q: results.update({"q": q})
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docs_src/body_fields/tutorial001_an.py
from typing import Union from fastapi import Body, FastAPI from pydantic import BaseModel, Field from typing_extensions import Annotated app = FastAPI() class Item(BaseModel): name: str description: Union[str, None] = Field( default=None, title="The description of the item", max_length=300 ) price: float = Field(gt=0, description="The price must be greater than zero") tax: Union[float, None] = None
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docs_src/body_multiple_params/tutorial004_an.py
from typing import Union from fastapi import Body, FastAPI from pydantic import BaseModel from typing_extensions import Annotated app = FastAPI() class Item(BaseModel): name: str description: Union[str, None] = None price: float tax: Union[float, None] = None class User(BaseModel): username: str full_name: Union[str, None] = None @app.put("/items/{item_id}") async def update_item(
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docs_src/query_params_str_validations/tutorial010_an.py
from typing import Union from fastapi import FastAPI, Query from typing_extensions import Annotated app = FastAPI() @app.get("/items/") async def read_items( q: Annotated[ Union[str, None], Query( alias="item-query", title="Query string", description="Query string for the items to search in the database that have a good match", min_length=3,
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tests/test_additional_responses_custom_validationerror.py
import typing from fastapi import FastAPI from fastapi.responses import JSONResponse from fastapi.testclient import TestClient from pydantic import BaseModel app = FastAPI() class JsonApiResponse(JSONResponse): media_type = "application/vnd.api+json" class Error(BaseModel): status: str title: str class JsonApiError(BaseModel): errors: typing.List[Error] @app.get( "/a/{id}",
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docs/en/docs/how-to/conditional-openapi.md
## About security, APIs, and docs Hiding your documentation user interfaces in production *shouldn't* be the way to protect your API. That doesn't add any extra security to your API, the *path operations* will still be available where they are. If there's a security flaw in your code, it will still exist.
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.github/actions/people/app/main.py
import logging import subprocess import sys from collections import Counter, defaultdict from datetime import datetime, timedelta, timezone from pathlib import Path from typing import Any, Container, DefaultDict, Dict, List, Set, Union import httpx import yaml from github import Github from pydantic import BaseModel, SecretStr from pydantic_settings import BaseSettings github_graphql_url = "https://api.github.com/graphql"
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docs_src/header_params/tutorial002_an_py310.py
from typing import Annotated from fastapi import FastAPI, Header app = FastAPI() @app.get("/items/") async def read_items( strange_header: Annotated[str | None, Header(convert_underscores=False)] = None, ):
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