} catch (final Exception e) {
                                if (logger.isDebugEnabled()) {
                                    logger.debug("Failed to detect MIME type, using default: url={}, defaultMimeType={}", url,
                                            defaultMimeType, e);
                                }
                                contentType = defaultMimeType;

    @Test
    @DisplayName("Test wire format structure matches SMB2 specification")
    void testWireFormatStructure() {
        byte[] buffer = new byte[256];
        Arrays.fill(buffer, (byte) 0xCC); // Fill with pattern to detect unwritten areas

        int written = request.writeBytesWireFormat(buffer, 0);

        // Verify structure according to SMB2 CLOSE specification
        // Structure Size (2 bytes) - should be 24

```Python hl_lines="1  4"
{!../../docs_src/python_types/tutorial009_py39.py!}
```

Using `Optional[str]` instead of just `str` will let the editor help you detect errors where you could be assuming that a value is always a `str`, when it could actually be `None` too.

`Optional[Something]` is actually a shortcut for `Union[Something, None]`, they are equivalent.

/// note | Nota

O FastAPI saberá que o valor de `q` não é obrigatório por causa do valor padrão `= None`.

Ter `str | None` permitirá que seu editor lhe ofereça melhor suporte e detecte erros.

///

## Validação adicional { #additional-validation }

Vamos impor que, embora `q` seja opcional, sempre que for fornecido, **seu comprimento não exceda 50 caracteres**.

- **Doc JSON** (`doc*.json`) - Document data export
- **System Properties** (`system.properties`) - System configuration

**Usage**:
1. Navigate to **System > Backup**
2. Click **Upload** button
3. Select file (auto-detects format)
4. Click **Import** to process

### 2. REST API Import

#### Bulk Document API

**Endpoint**: `PUT /api/admin/documents/bulk`

**Format**: NDJSON (Newline-Delimited JSON)

query.highlight.phrase.limit=256
# Fields for content description in query highlighting.
query.highlight.content.description.fields=hl_content,digest
# Whether to detect boundary position in query highlighting.
query.highlight.boundary.position.detect=true
# Type for text fragment in query highlighting.
query.highlight.text.fragment.type=query
# Size for text fragment in query highlighting.
query.highlight.text.fragment.size=3

   * 'affect' a bit(j) in the output if two inputs, identical but for bit(i), will differ at output
   * bit(j) about half the time
   *
   * <p>Funneling is pretty simple to detect. The key idea is to find example keys which
   * unequivocally demonstrate that funneling cannot be occurring. This is done bit-by-bit. For each

        }
        try {
            Charset.forName(charsetName);
        } catch (final Exception e) {
            return false;
        }
        return true;
    }

    /**
     * Loads and detects the character set from the input stream.
     *
     * @param inputStream the input stream to read from
     * @return the detected character set name, or null if not found

* An "Init Container" in Kubernetes that runs before your app container
* A bash script that runs the previous steps and then starts your application
    * You would still need a way to start/restart *that* bash script, detect errors, etc.

/// tip

I'll give you more concrete examples for doing this with containers in a future chapter: [FastAPI in Containers - Docker](docker.md){.internal-link target=_blank}.

///

  * Upgrade Node Problem Detector to v0.4.1. New features added:

    * Add /dev/kmsg support for kernel log parsing. ([#112](https://github.com/kubernetes/node-problem-detector/pull/112), [@euank](https://github.com/euank))

    * Add ABRT support. ([#105](https://github.com/kubernetes/node-problem-detector/pull/105), [@juliusmilan](https://github.com/juliusmilan))