### Common Migration Issues

#### Issue: Import fails with "Invalid format"

**Solution**:
- Ensure NDJSON files have one valid JSON object per line
- Check for UTF-8 encoding
- Validate JSON syntax with `jq`:
  ```bash
  cat documents.ndjson | jq empty
  ```

#### Issue: GSA XML import creates no configurations

**Solution**:
- Verify XML structure matches GSA export format

### Resumen { #recap }

En resumen, declaras **una vez** los tipos de parámetros, body, etc. como parámetros de función.

Lo haces con tipos estándar modernos de Python.

No tienes que aprender una nueva sintaxis, los métodos o clases de un paquete específico, etc.

Solo **Python** estándar.

Por ejemplo, para un `int`:

```Python
item_id: int
```

o para un modelo `Item` más complejo:

///

### Entenda esse código { #understand-that-code }

O ponto importante é apenas usar **`AfterValidator` com uma função dentro de `Annotated`**. Sinta-se à vontade para pular esta parte. 🤸

---

Mas se você está curioso sobre este exemplo específico e ainda entretido, aqui vão alguns detalhes extras.

## Managing User/Group Access Policy

Access policies may be associated by their name with a group or user directly. Access policies are first defined on the MinIO server using IAM policy JSON syntax. To define a new policy, you can use the [AWS policy generator](https://awspolicygen.s3.amazonaws.com/policygen.html). Copy the policy into a text file `mypolicy.json` and issue the command like so:

```sh

Böylece Flask-apispec, Python döküman dizilerine YAML gibi farklı bir syntax yazma sorununu çözmüş oldu.

**FastAPI**'ı geliştirene dek benim favori arka uç kombinasyonum Flask'in yanında Marshmallow ve Webargs ile birlikte Flask-apispec idi.

   * @return Is the domain name syntactically valid?
   */
  private static boolean validateSyntax(List<String> parts) {
    int lastIndex = parts.size() - 1;

    // Validate the last part specially, as it has different syntax rules.

    if (!validatePart(parts.get(lastIndex), true)) {
      return false;
    }

    for (int i = 0; i < lastIndex; i++) {
      String part = parts.get(i);
      if (!validatePart(part, false)) {

IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. en http://usefulinc.com/ns/doap# http://www.w3.org/1999/02/22-rdf-syntax-ns# http://projects.apache.org/ns/asfext# http://xmlns.com/foaf/0.1/ http://Maven.rdf.apache.org/ 2001 http://www.apache.org/licenses/LICENSE-2.0.txt Apache Maven https://maven.apache.org/ https://maven.apache.org/ Maven is a project development management...

### Zusammenfassung { #recap }

Zusammengefasst deklarieren Sie **einmal** die Typen von Parametern, Body, usw. als Funktionsparameter.

Das machen Sie mit modernen Standard-Python-Typen.

Sie müssen keine neue Syntax, Methoden oder Klassen einer bestimmten Bibliothek usw. lernen.

Nur Standard-**Python**.

Zum Beispiel für ein `int`:

```Python
item_id: int
```

oder für ein komplexeres `Item`-Modell:

 * the well known {@link java.io.File} class. One fundamental difference
 * is the usage of a URL scheme [1] to specify the target file or
 * directory. SmbFile URLs have the following syntax:
 *
 * <blockquote>
 *
 * <pre>
 *     smb://[[[domain;]username[:password]@]server[:port]/[[share/[dir/]file]]][?param=value[param2=value2[...]]]
 * </pre>
 *
 * </blockquote>
 *

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

You don't have to learn a new syntax, the methods or classes of a specific library, etc.

Just standard **Python**.

For example, for an `int`:

```Python
item_id: int
```

or for a more complex `Item` model:

```Python