app = FastAPI()

app.mount("/static", StaticFiles(directory="static"), name="static")


templates = Jinja2Templates(directory="templates")


@app.get("/items/{id}", response_class=HTMLResponse)
async def read_item(request: Request, id: str):
    return templates.TemplateResponse(
        request=request, name="item.html", context={"id": id}

	var (
		err        error
		tagSetting = ParseTagSetting(fieldStruct.Tag.Get("gorm"), ";")
	)

	field := &Field{
		Name:                   fieldStruct.Name,
		DBName:                 tagSetting["COLUMN"],
		BindNames:              []string{fieldStruct.Name},
		EmbeddedBindNames:      []string{fieldStruct.Name},
		FieldType:              fieldStruct.Type,
		IndirectFieldType:      fieldStruct.Type,
		StructField:            fieldStruct,

@pytest.fixture(
    name="mod",
    params=[
        pytest.param("tutorial003_py39"),
    ],
)
def get_mod(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.websockets.{request.param}")

    return mod


@pytest.fixture(name="html")
def get_html(mod: ModuleType):
    return mod.html


@pytest.fixture(name="client")
def get_client(mod: ModuleType):

	}

	generateStruct := func(name string) *CustomizeFieldStruct {
		return &CustomizeFieldStruct{
			Name:             name,
			FieldAllowCreate: name + "_allow_create",
			FieldAllowUpdate: name + "_allow_update",
			FieldAllowSave:   name + "_allow_save",
			FieldAllowSave2:  name + "_allow_save2",
			FieldAllowSave3:  name + "_allow_save3",
			FieldReadonly:    name + "_allow_readonly",

func (in *Input) define() {
	name := in.macroName()
	args, tokens := in.macroDefinition(name)
	in.defineMacro(name, args, tokens)
}

// defineMacro stores the macro definition in the Input.
func (in *Input) defineMacro(name string, args []string, tokens []Token) {
	if in.macros[name] != nil {
		in.Error("redefinition of macro:", name)
	}
	in.macros[name] = &Macro{
		name:   name,
		args:   args,
		tokens: tokens,

		}
	case target.Type == obj.TYPE_REG:
		// JMP R1
		*targetAddr = *target
	case target.Type == obj.TYPE_MEM && (target.Name == obj.NAME_EXTERN || target.Name == obj.NAME_STATIC):
		// JMP main·morestack(SB)
		*targetAddr = *target
	case target.Type == obj.TYPE_INDIR && (target.Name == obj.NAME_EXTERN || target.Name == obj.NAME_STATIC):
		// JMP *main·morestack(SB)
		*targetAddr = *target
		targetAddr.Type = obj.TYPE_INDIR

Neste caso, o **FastAPI** perceberá que existe mais de um parâmetro de corpo na função (dois parâmetros que são modelos Pydantic).

Então, ele usará o nome dos parâmetros como chaves (nome dos campos) no corpo, e espera um corpo como:

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    },
    "user": {
        "username": "dave",

            // Given: SAM entry with data
            samr.SamrSamEntry entry = new samr.SamrSamEntry();
            entry.idx = 1;
            entry.name = new rpc.unicode_string();
            entry.name.length = 4;
            entry.name.maximum_length = 6;
            entry.name.buffer = new short[] { 't', 'e', 's', 't' };

            // When: Encoding entry
            entry.encode(mockNdrBuffer);

from fastapi import FastAPI
from pydantic import BaseModel, HttpUrl

app = FastAPI()


class Image(BaseModel):
    url: HttpUrl
    name: str


class Item(BaseModel):
    name: str
    description: str | None = None
    price: float
    tax: float | None = None
    tags: set[str] = set()
    images: list[Image] | None = None


@app.put("/items/{item_id}")
async def update_item(item_id: int, item: Item):

from fastapi import FastAPI


@dataclass
class Item:
    name: str
    price: float
    tags: list[str] = field(default_factory=list)
    description: str | None = None
    tax: float | None = None


app = FastAPI()


@app.get("/items/next", response_model=Item)
async def read_next_item():
    return {
        "name": "Island In The Moon",
        "price": 12.99,