from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):

## Validaciones numéricas: mayor o igual { #number-validations-greater-than-or-equal }

Con `Query` y `Path` (y otros que verás más adelante) puedes declarar restricciones numéricas.

Aquí, con `ge=1`, `item_id` necesitará ser un número entero "`g`reater than or `e`qual" a `1`.

{* ../../docs_src/path_params_numeric_validations/tutorial004_an_py39.py hl[10] *}

## Validierung von Zahlen: Größer oder gleich { #number-validations-greater-than-or-equal }

Mit `Query` und `Path` (und anderen, die Sie später sehen werden) können Sie Zahlenbeschränkungen deklarieren.

Hier, mit `ge=1`, muss `item_id` eine ganze Zahl sein, die „`g`reater than or `e`qual to“ (größer oder gleich) `1` ist.

{* ../../docs_src/path_params_numeric_validations/tutorial004_an_py39.py hl[10] *}

from fastapi import FastAPI, Path

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *, item_id: int = Path(title="The ID of the item to get", ge=1), q: str
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

## Validations numériques : supérieur ou égal

Avec `Query` et `Path` (et d'autres que vous verrez plus tard) vous pouvez déclarer des contraintes numériques.

Ici, avec `ge=1`, `item_id` devra être un nombre entier "`g`reater than or `e`qual" à `1`.

{* ../../docs_src/path_params_numeric_validations/tutorial004_an_py39.py hl[10] *}

## Validations numériques : supérieur ou égal et inférieur ou égal

## Validações numéricas: maior que ou igual { #number-validations-greater-than-or-equal }

Com `Query` e `Path` (e outras que você verá depois) você pode declarar restrições numéricas.

Aqui, com `ge=1`, `item_id` precisará ser um número inteiro “`g`reater than or `e`qual” a `1`.

{* ../../docs_src/path_params_numeric_validations/tutorial004_an_py39.py hl[10] *}

    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


@app.put("/items/{item_id}")
async def update_item(
    *,
    item_id: int = Path(title="The ID of the item to get", ge=0, le=1000),
    q: Union[str, None] = None,
    item: Union[Item, None] = None,
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if item:
        results.update({"item": item})

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):

from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):