# 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.py hl[1,15] *}

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

The main purpose of the `__name__ == "__main__"` is to have some code that is executed when your file is called with:

     *
     * @return an {@link Optional} containing the input stream, or empty if not applicable
     */
    @Nonnull
    default Optional<InputStream> stdIn() {
        return Optional.ofNullable(parserRequest().stdIn());
    }

    /**
     * Returns the output stream for the Maven execution, if running in embedded mode.
     *

$ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86"
```

2. Run an Emulator using Android Studio or from command line.

```
$ emulator -no-window -no-snapshot-load @pixel5
```

2. Turn on logs with logcat

```

afterEvaluate {
  tasks.withType<Test> {
    if (javaLauncher.get().metadata.languageVersion.asInt() < 9) {
      // Work around robolectric requirements and limitations
      // https://cs.android.com/android-studio/platform/tools/base/+/mirror-goog-studio-main:build-system/gradle-core/src/main/java/com/android/build/gradle/tasks/factory/AndroidUnitTest.java;l=339
      allJvmArgs = allJvmArgs.filter { !it.startsWith("--add-opens") }
    }

        }
    }

    public void test_sendCommand_withRunningProcess() {
        String sessionId = "test_send_command";
        List<String> cmdList = Arrays.asList("cat"); // cat reads from stdin
        Consumer<ProcessBuilder> pbCall = pb -> {
            pb.redirectErrorStream(true);
        };

        try {
            JobProcess jobProcess = processHelper.startProcess(sessionId, cmdList, pbCall);

There were even some changes to Pydantic itself to support this.

The previous screenshots were taken with <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.

But you would get the same editor support with <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a> and most of the other Python editors:

You will rarely need to come back to the docs.

Here's how your editor might help you:

* in <a href="https://code.visualstudio.com/" class="external-link" target="_blank">Visual Studio Code</a>:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

* in <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>:

https://www.linkedin.com/in/mnrozhkov/ link: https://www.evidentlyai.com/blog/fastapi-tutorial title: ML serving and monitoring with FastAPI and Evidently - author: Visual Studio Code Team author_link: https://code.visualstudio.com/ link: https://code.visualstudio.com/docs/python/tutorial-fastapi title: FastAPI Tutorial in Visual Studio Code - author: Apitally author_link: https://apitally.io link: https://blog.apitally.io/fastapi-application-monitoring-made-easy title: FastAPI application monitoring...

これは偶然ではなく、このデザインに基づいてフレームワークが作られています。

全てのエディターで機能することを確認するために、実装前の設計時に徹底的にテストしました。

これをサポートするためにPydantic自体にもいくつかの変更がありました。

上記のスクリーンショットは<a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>を撮ったものです。

しかし、<a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>やほとんどのPythonエディタでも同様なエディターサポートを受けられます:

<img src="/img/tutorial/body/image05.png">

/// tip | 豆知識

			ndjson = true
		}

		toPrint := make([]string, 0, 16)
		for _, file := range files {
			var r io.Reader
			var sz int64
			switch file {
			case "-":
				r = os.Stdin
			default:
				f, err := os.Open(file)
				if err != nil {
					return err
				}
				if st, err := f.Stat(); err == nil {
					sz = st.Size()
				}
				defer f.Close()
				r = f
			}