Zuerst müssen Sie `BaseModel` von `pydantic` importieren:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Ihr Datenmodell erstellen { #create-your-data-model }

Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt.

Verwenden Sie Standard-Python-Typen für alle Attribute:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

 *
 * See [RFC 7692, 7.1][rfc_7692] for details on negotiation process.
 *
 * [rfc_7692]: https://tools.ietf.org/html/rfc7692#section-7.1
 */
@IgnoreJRERequirement // As of AGP 3.4.1, D8 desugars API 24 hashCode methods.
data class WebSocketExtensions(
  /** True if the agreed upon extensions includes the permessage-deflate extension. */
  @JvmField val perMessageDeflate: Boolean = false,

import com.google.errorprone.annotations.Immutable;
import java.util.Comparator;
import java.util.Map;
import java.util.Objects;
import org.jspecify.annotations.Nullable;

/**
 * Used to represent the order of elements in a data structure that supports different options for
 * iteration order guarantees.
 *
 * <p>Example usage:
 *
 * {@snippet :
 * MutableGraph<Integer> graph =

        if (message instanceof Smb2ReadRequest) {
            return ((Smb2ReadRequest) message).getReadLength() > 1048576; // 1MB
        }
        if (message instanceof Smb2WriteRequest) {
            // Data length not accessible, assume large writes for now
            return true;
        }
        return false;
    }

    private boolean isMetadataOperation(CommonServerMessageBlock message) {

In your WebSocket route you can `await` for messages and send messages.

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

You can receive and send binary, text, and JSON data.

## Try it { #try-it }

Put your code in a file `main.py` and then run your application:

<div class="termy">

```console
$ fastapi dev

//// tab | 테스트

* 여러분
* 여러분의

* 예:
* 등

* `foo`로서의 `int`
* `bar`로서의 `str`
* `baz`로서의 `list`

* 튜토리얼 - 사용자 가이드
* 고급 사용자 가이드
* SQLModel 문서
* API 문서
* 자동 문서

* Data Science
* Deep Learning
* Machine Learning
* Dependency Injection
* HTTP Basic authentication
* HTTP Digest
* ISO format
* JSON Schema 표준
* JSON schema
* schema definition
* Password Flow

    while ((line = lineReader.readLine()) != null) {
      if (!processor.processLine(line)) {
        break;
      }
    }
    return processor.getResult();
  }

  /**
   * Reads and discards data from the given {@code Readable} until the end of the stream is reached.
   * Returns the total number of chars read. Does not close the stream.
   *
   * @since 20.0
   */
  @CanIgnoreReturnValue

            mojos.remove(Thread.currentThread());
        }

        private OwnerReentrantLock getProjectLock(MavenSession session) {
            SessionData data = session.getSession().getData();
            Map<MavenProject, OwnerReentrantLock> locks = data.computeIfAbsent(PROJECT_LOCKS, ConcurrentHashMap::new);
            return locks.computeIfAbsent(session.getCurrentProject(), p -> new OwnerReentrantLock());
        }
    }

///

## 資料 <dfn title="也稱為：序列化、解析、封送">轉換</dfn> { #data-conversion }

如果你執行這個範例並在瀏覽器開啟 [http://127.0.0.1:8000/items/3](http://127.0.0.1:8000/items/3)，你會看到這樣的回應：

```JSON
{"item_id":3}
```

/// check

注意你的函式接收（並回傳）的值是 `3`，也就是 Python 的 `int`，而不是字串 `"3"`。

因此，有了這個型別宣告，**FastAPI** 會自動為你處理請求的 <dfn title="將 HTTP 請求中的字串轉換為 Python 資料">「解析」</dfn>。

///

## 資料驗證 { #data-validation }

        final boolean result = testClient.reindexConfigIndices(true, allTargetPrefixes());

        assertTrue(result);
        // During rebuild, addMapping is always called with loadBulkData=false
        // because bulk data is loaded separately with createOnly=true via insertBulkData.
        for (final String[] call : testClient.addMappingCalls) {
            assertNotNull(call);
        }