*/
    public void debug(final Object message, final Throwable throwable) {
        if (isDebugEnabled()) {
            log.debug(toString(message), throwable);
        }
    }

    /**
     * Outputs DEBUG information.
     *
     * @param message
     *            Message
     */
    public void debug(final Object message) {
        if (isDebugEnabled()) {
            log.debug(toString(message));

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:

package flags

import (
	"cmd/internal/obj"
	"cmd/internal/objabi"
	"flag"
	"fmt"
	"os"
	"path/filepath"
	"strings"
)

var (
	Debug      = flag.Bool("debug", false, "dump instructions as they are parsed")
	OutputFile = flag.String("o", "", "output file; default foo.o for /a/b/c/foo.s as first argument")

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>

	return tx
}

// WithContext change current instance db's context to ctx
func (db *DB) WithContext(ctx context.Context) *DB {
	return db.Session(&Session{Context: ctx})
}

// Debug start debug mode
func (db *DB) Debug() (tx *DB) {
	tx = db.getInstance()
	return tx.Session(&Session{
		Logger: db.Logger.LogMode(logger.Info),
	})
}

// Set store value with key into current db instance's context