environment:
      - MYSQL_DATABASE=gorm
      - MYSQL_USER=gorm
      - MYSQL_PASSWORD=gorm
      - MYSQL_RANDOM_ROOT_PASSWORD="yes"
  postgres:
    image: 'postgres:latest'
    ports:
      - "9920:5432"
    environment:
      - TZ=Asia/Shanghai
      - POSTGRES_DB=gorm
      - POSTGRES_USER=gorm
      - POSTGRES_PASSWORD=gorm
  mssql:
    image: '${MSSQL_IMAGE:-mcmoe/mssqldocker}:latest'
    ports:

Betrachten wir es also aus dieser vereinfachten Sicht:

* Der Benutzer gibt den `username` und das `password` im Frontend ein und drückt `Enter`.
* Das Frontend (das im Browser des Benutzers läuft) sendet diesen `username` und das `password` an eine bestimmte URL in unserer API (deklariert mit `tokenUrl="token"`).
* Die API überprüft den `username` und das `password` und antwortet mit einem „Token“ (wir haben davon noch nichts implementiert).

    response = client.post("/token", data={"username": "johndoe", "password": "secret"})
    assert response.status_code == 200, response.text
    assert response.json() == {"access_token": "johndoe", "token_type": "bearer"}


@needs_py310
def test_login_incorrect_password(client: TestClient):
    response = client.post(
        "/token", data={"username": "johndoe", "password": "incorrect"}
    )

    response = client.post("/token", data={"username": "johndoe", "password": "secret"})
    assert response.status_code == 200, response.text
    assert response.json() == {"access_token": "johndoe", "token_type": "bearer"}


@needs_py310
def test_login_incorrect_password(client: TestClient):
    response = client.post(
        "/token", data={"username": "johndoe", "password": "incorrect"}
    )

			return errors.New("format value unrecognized")
		}
	}
	if a.Index == "" {
		return errors.New("empty index value")
	}

	if (a.Username == "" && a.Password != "") || (a.Username != "" && a.Password == "") {
		return errors.New("username and password should be set in pairs")
	}

	return nil
}

// ElasticsearchTarget - Elasticsearch target.
type ElasticsearchTarget struct {
	initOnce once.Init

    if not user_dict:
        raise HTTPException(status_code=400, detail="Incorrect username or password")
    user = UserInDB(**user_dict)
    hashed_password = fake_hash_password(form_data.password)
    if not hashed_password == user.hashed_password:
        raise HTTPException(status_code=400, detail="Incorrect username or password")

    return {"access_token": user.username, "token_type": "bearer"}


@app.get("/users/me")

    if not user_dict:
        raise HTTPException(status_code=400, detail="Incorrect username or password")
    user = UserInDB(**user_dict)
    hashed_password = fake_hash_password(form_data.password)
    if not hashed_password == user.hashed_password:
        raise HTTPException(status_code=400, detail="Incorrect username or password")

    return {"access_token": user.username, "token_type": "bearer"}


@app.get("/users/me")

@needs_py310
def test_verify_password():
    from docs_src.security.tutorial005_an_py310 import fake_users_db, verify_password

    assert verify_password("secret", fake_users_db["johndoe"]["hashed_password"])


@needs_py310
def test_get_password_hash():
    from docs_src.security.tutorial005_an_py310 import get_password_hash

    assert get_password_hash("secretalice")


@needs_py310

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class UserCreate(BaseModel):
    email: str
    password: str


class UserDB(BaseModel):
    email: str
    hashed_password: str


class User(BaseModel):
    email: str


class PetDB(BaseModel):
    name: str
    owner: UserDB


class PetOut(BaseModel):
    name: str

                    "title": "Body_login_login__post",
                    "required": ["username", "password"],
                    "type": "object",
                    "properties": {
                        "username": {"title": "Username", "type": "string"},
                        "password": {"title": "Password", "type": "string"},
                    },
                },
                "ValidationError": {