* governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.protwords;

import java.util.Date;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.dict.DictionaryCreator;
import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.dict.DictionaryItem;

import jakarta.annotation.PostConstruct;

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.synonym;

import java.util.Date;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.dict.DictionaryCreator;
import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.dict.DictionaryItem;

import jakarta.annotation.PostConstruct;

from typing import Dict

from fastapi import FastAPI

app = FastAPI()


@app.get("/keyword-weights/", response_model=Dict[str, float])
async def read_keyword_weights():

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.dict.stopwords;

import java.util.Date;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.dict.DictionaryCreator;
import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.dict.DictionaryItem;

import jakarta.annotation.PostConstruct;

* `Body()`
* `Form()`
* `File()`

The keys of the `dict` identify each example, and each value is another `dict`.

Each specific example `dict` in the `examples` can contain:

* `summary`: Short description for the example.
* `description`: A long description that can contain Markdown text.
* `value`: This is the actual example shown, e.g. a `dict`.

✋️ 👉 🦮 🎦 👆, 🌖 ⚖️ 🌘, ❔ 👫 🎯 ⚙️.

///

### ⚙️ Pydantic `exclude_unset` 🔢

🚥 👆 💚 📨 🍕 ℹ, ⚫️ 📶 ⚠ ⚙️ 🔢 `exclude_unset` Pydantic 🏷 `.dict()`.

💖 `item.dict(exclude_unset=True)`.

👈 🔜 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ 🕐❔ 🏗 `item` 🏷, 🚫 🔢 💲.

⤴️ 👆 💪 ⚙️ 👉 🏗 `dict` ⏮️ 🕴 💽 👈 ⚒ (📨 📨), 🚫 🔢 💲:

//// tab | 🐍 3️⃣.6️⃣ & 🔛

```Python hl_lines="34"
{!> ../../docs_src/body_updates/tutorial002.py!}
```

):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: dict = Depends(common_parameters)):
    return commons


@app.get("/users/")
async def read_users(commons: dict = Depends(common_parameters)):

):
    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: Annotated[dict, Depends(common_parameters)]):
    return commons


@app.get("/users/")
async def read_users(commons: Annotated[dict, Depends(common_parameters)]):

    return {"q": q, "skip": skip, "limit": limit}


@app.get("/items/")
async def read_items(commons: dict = Depends(common_parameters)):
    return commons


@app.get("/users/")
async def read_users(commons: dict = Depends(common_parameters)):

## Retorno Adicional com `model`

Você pode fornecer o parâmetro `responses` aos seus *decoradores de caminho*.

Este parâmetro recebe um `dict`, as chaves são os códigos de status para cada retorno, como por exemplo `200`, e os valores são um outro `dict` com a informação de cada um deles.

Cada um desses `dict` de retorno pode ter uma chave `model`, contendo um modelo do Pydantic, assim como o `response_model`.