}

var (
	D        MultiFlag
	I        MultiFlag
	PrintOut int
	DebugV   bool
)

func init() {
	flag.Var(&D, "D", "predefined symbol with optional simple value -D=identifier=value; can be set multiple times")
	flag.Var(&I, "I", "include directory; can be set multiple times")
	flag.BoolVar(&DebugV, "v", false, "print debug output")

Here's how it might look:

<img src="/img/tutorial/debugging/image01.png">

---

If you use Pycharm, you can:

* Open the "Run" menu.
* Select the option "Debug...".
* Then a context menu shows up.
* Select the file to debug (in this case, `main.py`).

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.

Here's how it might look:

예를 들어 Visual Studio Code에서 다음을 수행할 수 있습니다.

* "Debug" 패널로 이동합니다.
* "Add configuration...".
* "Python"을 선택합니다.
* "`Python: Current File (Integrated Terminal)`" 옵션으로 디버거를 실행합니다.

그런 다음 **FastAPI** 코드로 서버를 시작하고 중단점 등에서 중지합니다.

다음과 같이 표시됩니다.

<img src="/img/tutorial/debugging/image01.png">

---

Pycharm을 사용하는 경우 다음을 수행할 수 있습니다

* "Run" 메뉴를 엽니다.
* "Debug..." 옵션을 선택합니다.
* 그러면 상황에 맞는 메뉴가 나타납니다.

---

例如，在 Visual Studio Code 中，你可以：

* 前往 "Debug" 面板
* 點選 "Add configuration..."
* 選擇 "Python"
* 使用選項 "`Python: Current File (Integrated Terminal)`" 啟動偵錯器

接著它會用你的 **FastAPI** 程式碼啟動伺服器、在你的中斷點停下等。

可能會長這樣：

<img src="/img/tutorial/debugging/image01.png">

---

如果你使用 PyCharm，你可以：

* 開啟 "Run" 選單
* 選擇 "Debug..."
* 會出現一個情境選單
* 選擇要偵錯的檔案（此例為 `main.py`）

app = FastAPI()


@app.get("/logs/stream", response_class=EventSourceResponse)
async def stream_logs() -> AsyncIterable[ServerSentEvent]:
    logs = [
        "2025-01-01 INFO  Application started",
        "2025-01-01 DEBUG Connected to database",
        "2025-01-01 WARN  High memory usage detected",
    ]
    for log_line in logs:

<Configuration status="WARN" packages="org.codelibs.fess.util">

	<Properties>
		<Property name="domain.name" value="${sys:fess.log.name:-fess}" />
		<Property name="log.level" value="${sys:fess.log.level:-debug}" />
		<Property name="root.log.level" value="${sys:fess.log.level:-info}" />
		<Property name="log.pattern" value="%d [%t] %-5p %msg%n" />
		<Property name="log.file.basedir" value="${sys:fess.log.path:-target/logs}" />

common:nvcc_clang --config=cuda_nvcc

# Debug config
common:dbg -c dbg
# Only include debug info for files under tensorflow/, excluding kernels, to
# reduce the size of the debug info in the binary. This is because if the debug
# sections in the ELF binary are too large, errors can occur. See
# https://github.com/tensorflow/tensorflow/issues/48919.
# Users can still include debug info for a specific kernel, e.g. with:

                                            <la:option value="WARN">WARN</la:option>
                                            <la:option value="INFO">INFO</la:option>
                                            <la:option value="DEBUG">DEBUG</la:option>
                                            <la:option value="TRACE">TRACE</la:option>
                                            <la:option value="ALL">ALL</la:option>

                .setLoggerName("test.logger")
                .setLevel(Level.DEBUG)
                .setMessage(new SimpleMessage("test debug message"))
                .build();

        LogEvent result = policy.rewrite(debugEvent);

        assertSame(debugEvent, result);
        assertEquals(Level.DEBUG, result.getLevel());
    }

    @Test
    public void test_rewrite_multiple_logger_names() {

    return response.data.updateDiscussionComment.comment


def main() -> None:
    settings = Settings()
    if settings.debug:
        logging.basicConfig(level=logging.DEBUG)
    else:
        logging.basicConfig(level=logging.INFO)
    logging.debug(f"Using config: {settings.model_dump_json()}")
    g = Github(settings.github_token.get_secret_value())
    repo = g.get_repo(settings.github_repository)