👆 ✍ 🐩 🐍 ⏮️ 🆎:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

👈 💪 ⤴️ ⚙️ 💖:

```Python

```Python hl_lines="16-18  21-22  28-32"
{!../../docs_src/openapi_callbacks/tutorial001.py!}
```

There are 2 main differences from a normal *path operation*:

* It doesn't need to have any actual code, because your app will never call this code. It's only used to document the *external API*. So, the function could just have `pass`.

  avatarUrl: https://avatars.githubusercontent.com/u/15116058?u=4b64c643fad49225d854e1aaecd1ffc6f9071a1b&v=4
  url: https://github.com/omarcruzpantoja
- login: bogdan-coman-uv
  count: 3
  avatarUrl: https://avatars.githubusercontent.com/u/92912507?v=4
  url: https://github.com/bogdan-coman-uv
- login: ahmedabdou14
  count: 3
  avatarUrl: https://avatars.githubusercontent.com/u/104530599?u=05365b155a1ff911532e8be316acfad2e0736f98&v=4

      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
      separable from, or merely link (or bind by name) to the interfaces of,
      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including

Você escreve Python padrão com tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declare uma variável como str
# e obtenha suporte do editor dentro da função
def main(user_id: str):
    return user_id


# Um modelo do Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Que então pode ser usado como:

```Python

 *     .build();
 * Response response = eagerClient.newCall(request).execute();
 * ```
 *
 * ## Shutdown Isn't Necessary
 *
 * The threads and connections that are held will be released automatically if they remain idle. But
 * if you are writing a application that needs to aggressively release unused resources you may do
 * so.
 *
 * Shutdown the dispatcher's executor service with [shutdown()][ExecutorService.shutdown]. This will

            final SearchRequestParams params, final OptionalThing<FessUserBean> userBean) {
        if (logger.isDebugEnabled()) {
            logger.debug("Send {} to the main searcher.", query);
        }
        final int pageSize = params.getPageSize();
        final SearchResult searchResult = searcher.search(query, params, userBean);

    }

    @Test
    public void testLoadSave() throws IOException {
        StringWriter sw = new StringWriter();
        PrintWriter pw = new PrintWriter(sw);
        pw.println("# ");
        pw.println("# The Main  ");
        pw.println("# ");
        pw.println("# Comment ");
        pw.println("# ");
        pw.println("");
        pw.println("# Another comment");
        pw.println("");

Escribes Python estándar con tipos así:

```Python
from datetime import date

from pydantic import BaseModel

# Declaras la variable como un str
# y obtienes soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Este puede ser usado como:

```Python

Je schrijft gewoon standaard Python met types:

```Python
from datetime import date

from pydantic import BaseModel

# Declareer een variabele als een str
# en krijg editorondersteuning in de functie
def main(user_id: str):
    return user_id


# Een Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Vervolgens kan je het op deze manier gebruiken:

```Python