- **Log Location**: `target/fess-logs/` (dev), `/var/log/fess/` (prod)
- **Admin Login**: `admin/admin`

## Log Message Guidelines

- Format parameters as `key=value` (e.g., `sessionId={}`, `url={}`)
- Prefix with `[name]` when context identification is needed
- Use full words, not abbreviations (e.g., "documents" not "docs")

 *
 * All of these workarounds should be generally avoided, but, with this data we can configure the
 * compile tasks to permit some of these requirements.
 */
abstract class JvmCompilation {

    abstract val name: String

    /**
     * Set this flag to true if the compilation compiles against JDK internal classes.
     *
     * This workaround should be used sparingly.
     */

1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.
1. Click **Dashboard**.
1. Select "fess\_log" dashboard.

import java.util.concurrent.ThreadFactory;
import java.util.concurrent.atomic.AtomicInteger;

/**
 * Simple {@link ThreadFactory} implementation that ensures the corresponding threads have a meaningful name.
 */
public class BuildThreadFactory implements ThreadFactory {
    private final AtomicInteger id = new AtomicInteger();

    private static final String PREFIX = "BuilderThread";

    @Override

                    "parameters": [
                        {
                            "required": True,
                            "schema": {"title": "Item Id", "type": "string"},
                            "name": "item_id",
                            "in": "path",
                        }
                    ],
                }
            }
        },
        "components": {
            "schemas": {

import importlib

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),
        pytest.param("tutorial002_py310", marks=needs_py310),
        pytest.param("tutorial002_an_py39"),
        pytest.param("tutorial002_an_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):

        prepTask = branch.prepNightlyTaskName(),
        triggerName = "QuickFeedback",
        cleanCheckout = false,
    ) {
    init {
        id("Promotion_SnapshotFromQuickFeedbackStepPromote")
        name = "Nightly Snapshot (from QuickFeedback) - Promote"
        description =

    }
    assertFailsWith<IllegalArgumentException> {
      builder.addHeader(s, "Value")
    }
    assertFailsWith<IllegalArgumentException> {
      builder.header("Name", s)
    }
    assertFailsWith<IllegalArgumentException> {
      builder.addHeader("Name", s)
    }
  }

  @Test
  fun noTag() {
    val request =
      Request
        .Builder()
        .url("https://square.com")
        .build()

O parâmetro `name` é definido como `Optional[str]`, mas ele **não é opcional**, você não pode chamar a função sem o parâmetro:

```Python
say_hi()  # Oh, no, this throws an error! 😱
```

O parâmetro `name` **ainda é obrigatório** (não *opcional*) porque ele não possui um valor padrão. Mesmo assim, `name` aceita `None` como valor:

```Python
say_hi(name=None)  # This works, None is valid 🎉
```

El parámetro `name` está definido como `Optional[str]`, pero **no es opcional**, no puedes llamar a la función sin el parámetro:

```Python
say_hi()  # ¡Oh, no, esto lanza un error! 😱
```

El parámetro `name` sigue siendo **requerido** (no *opcional*) porque no tiene un valor predeterminado. Aún así, `name` acepta `None` como valor:

```Python
say_hi(name=None)  # Esto funciona, None es válido 🎉
```