pytest >=7.1.3,<9.0.0
coverage[toml] >= 6.5.0,< 8.0
mypy ==1.14.1
dirty-equals ==0.9.0
sqlmodel==0.0.27
flask >=1.1.2,<4.0.0
strawberry-graphql >=0.200.0,< 1.0.0
anyio[trio] >=3.2.1,<5.0.0
PyJWT==2.9.0
pyyaml >=5.3.1,<7.0.0
pwdlib[argon2] >=0.2.1
inline-snapshot>=0.21.1
pytest-codspeed==4.2.0
# types
types-ujson ==5.10.0.20240515

-e .
-r requirements-docs-tests.txt
mkdocs-material==9.7.0
mdx-include >=1.4.1,<2.0.0
mkdocs-redirects>=1.2.1,<1.3.0
typer == 0.16.0
pyyaml >=5.3.1,<7.0.0
# For Material for MkDocs, Chinese search
jieba==0.42.1
# For image processing by Material for MkDocs
pillow==11.3.0
# For image processing by Material for MkDocs
cairosvg==2.8.2
mkdocstrings[python]==0.30.1
griffe-typingdoc==0.3.0
griffe-warnings-deprecated==1.1.0

    "python-multipart >=0.0.18",
    # For Starlette's SessionMiddleware, not commonly used with FastAPI
    "itsdangerous >=1.1.0",
    # For Starlette's schema generation, would not be used with FastAPI
    "pyyaml >=5.3.1",
    # For UJSONResponse
    "ujson >=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0",
    # For ORJSONResponse
    "orjson >=3.2.1",
    # To validate email fields
    "email-validator >=2.0.0",

repos:
  - repo: https://github.com/pre-commit/pre-commit-hooks
    rev: v6.0.0
    hooks:
      - id: check-added-large-files
        args: ['--maxkb=750']
      - id: check-toml
      - id: check-yaml
        args:
        - --unsafe
      - id: end-of-file-fixer
      - id: trailing-whitespace

  - repo: local
    hooks:
      - id: local-ruff-check
        name: ruff check

    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.parse_obj(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors())

    raw_body = await request.body()
    try:
        data = yaml.safe_load(raw_body)
    except yaml.YAMLError:
        raise HTTPException(status_code=422, detail="Invalid YAML")
    try:
        item = Item.model_validate(data)
    except ValidationError as e:
        raise HTTPException(status_code=422, detail=e.errors(include_url=False))

        x - x-men
        x - x-avengers
        """
    response = client.post("/items/", content=yaml_data)
    assert response.status_code == 422, response.text
    assert response.json() == {"detail": "Invalid YAML"}


def test_post_invalid(client: TestClient):
    yaml_data = """
        name: Deadpoolio
        tags:
        - x-force
        - x-men
        - x-avengers
        - sneaky: object
        """

import logging
import secrets
import subprocess
from pathlib import Path

import yaml
from github import Github
from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings


class Settings(BaseSettings):
    github_repository: str
    github_token: SecretStr


class Repo(BaseModel):
    name: str
    html_url: str
    stars: int
    owner_login: str
    owner_html_url: str

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py39.py hl[15:20, 22] *}

Obwohl wir nicht die standardmäßig integrierte Funktionalität verwenden, verwenden wir dennoch ein Pydantic-Modell, um das JSON-Schema für die Daten, die wir in YAML empfangen möchten, manuell zu generieren.

Затем мы работаем с запросом напрямую и извлекаем тело как `bytes`. Это означает, что FastAPI даже не попытается распарсить полезную нагрузку запроса как JSON.

А затем в нашем коде мы напрямую парсим этот YAML и снова используем ту же Pydantic-модель для валидации YAML-содержимого:

//// tab | Pydantic v2