# Debugging { #debugging }

Sie können den Debugger in Ihrem Editor verbinden, zum Beispiel mit Visual Studio Code oder PyCharm.

## `uvicorn` aufrufen { #call-uvicorn }

Importieren und führen Sie `uvicorn` direkt in Ihrer FastAPI-Anwendung aus:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Über `__name__ == "__main__"` { #about-name-main }

# Depuração { #debugging }

Você pode conectar o depurador no seu editor, por exemplo, com o Visual Studio Code ou PyCharm.

## Chamar `uvicorn` { #call-uvicorn }

Em sua aplicação FastAPI, importe e execute `uvicorn` diretamente:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Sobre `__name__ == "__main__"` { #about-name-main }

# Debugging { #debugging }

You can connect the debugger in your editor, for example with Visual Studio Code or PyCharm.

## Call `uvicorn` { #call-uvicorn }

In your FastAPI application, import and run `uvicorn` directly:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### About `__name__ == "__main__"` { #about-name-main }

# Отладка { #debugging }

Вы можете подключить отладчик в своем редакторе, например, в Visual Studio Code или PyCharm.

## Вызов `uvicorn` { #call-uvicorn }

В вашем FastAPI приложении, импортируйте и вызовите `uvicorn` напрямую:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Описание `__name__ == "__main__"` { #about-name-main }

# Depuración { #debugging }

Puedes conectar el depurador en tu editor, por ejemplo con Visual Studio Code o PyCharm.

## Llama a `uvicorn` { #call-uvicorn }

En tu aplicación de FastAPI, importa y ejecuta `uvicorn` directamente:

{* ../../docs_src/debugging/tutorial001_py39.py hl[1,15] *}

### Acerca de `__name__ == "__main__"` { #about-name-main }

on:
  # schedule:
  #   - cron: "0 5 15 * *"  # Run at 05:00 on the 15 of every month

  workflow_dispatch:
    inputs:
      debug_enabled:
        description: Run with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)
        required: false
        default: "false"
      command:
        description: Command to run
        type: choice
        options:
          - translate-page

import importlib
import runpy
import sys
import unittest

import pytest
from fastapi.testclient import TestClient

MOD_NAME = "docs_src.debugging.tutorial001_py39"


@pytest.fixture(name="client")
def get_client():
    mod = importlib.import_module(MOD_NAME)
    client = TestClient(mod.app)
    return client


def test_uvicorn_run_is_not_called_on_import():
    if sys.modules.get(MOD_NAME):

    public ExecJob useLocalFesen(final boolean useLocalFesen) {
        this.useLocalFesen = useLocalFesen;
        return this;
    }

    /**
     * Enables remote debugging for this job execution.
     * Adds JVM options for remote debugging on localhost:8000.
     *
     * @return this ExecJob instance for method chaining
     */
    public ExecJob remoteDebug() {

import org.codelibs.core.exception.IORuntimeException;
import org.codelibs.fess.Constants;

/**
 * Utility class for generating and writing thread dumps.
 * Provides methods to capture thread information for debugging purposes.
 */
public class ThreadDumpUtil {
    private static final Logger logger = LogManager.getLogger(ThreadDumpUtil.class);

    /**
     * Private constructor to prevent instantiation of this utility class.

        queryMap.put(key, query);
    }

    /**
     * Returns a string representation of this FacetQueryView object.
     * Includes the title and query map for debugging purposes.
     *
     * @return string representation of this FacetQueryView instance
     */
    @Override
    public String toString() {