COPY ./app /code/app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]

# If running behind a proxy like Nginx or Traefik add --proxy-headers
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80", "--proxy-headers"]
```

</details>

## O que é um Contêiner

     */
    @Resource
    protected AccessTokenService accessTokenService;

    /**
     * HTTP servlet request object providing access to request parameters, headers,
     * and other request-specific information needed for API processing.
     */
    @Resource
    protected HttpServletRequest request;

    /**

    * したがって、APIで認証するため、HTTPヘッダー`Authorization`に`Bearer`の文字列とトークンを加えた値を送信します。
    * トークンに`foobar`が含まれている場合、`Authorization`ヘッダーの内容は次のようになります: `Bearer foobar`。

## **FastAPI**の`OAuth2PasswordBearer`

**FastAPI**は、これらのセキュリティ機能を実装するために、抽象度の異なる複数のツールを提供しています。

この例では、**Bearer**トークンを使用して**OAuth2**を**パスワード**フローで使用します。これには`OAuth2PasswordBearer`クラスを使用します。

/// info | 情報

「bearer」トークンが、唯一の選択肢ではありません。

しかし、私たちのユースケースには最適です。

# Using the Request Directly { #using-the-request-directly }

Up to now, you have been declaring the parts of the request that you need with their types.

Taking data from:

* The path as parameters.
* Headers.
* Cookies.
* etc.

And by doing so, **FastAPI** is validating that data, converting it and generating documentation for your API automatically.

But there are situations where you might need to access the `Request` object directly.

            "input": "plumbus"
        }
    ]
}
```

## 總結

你可以使用 **Pydantic 模型**在 **FastAPI** 中聲明**查詢參數**。😎

/// tip

劇透警告：你也可以使用 Pydantic 模型來聲明 cookie 和 headers，但你將在本教學的後面部分閱讀到這部分內容。🤫

        final Map<String, List<String>> headerMap = headerList.stream()
                .collect(Collectors.groupingBy(Pair::getFirst, Collectors.mapping(Pair::getSecond, Collectors.toList())));
        sourceMap.put("headers", headerMap);
        sourceMap.put("documents", documentList);
        return sourceMap;
    }

    @Override

		log.Fatalf("%s\n", err)
	}
	input.Push(NewTokenizer(name, fd, fd))
	return input
}

// The other files in this directory each contain an implementation of TokenReader.

// A TokenReader is like a reader, but returns lex tokens of type Token. It also can tell you what
// the text of the most recently returned token is, and where it was found.
// The underlying scanner elides all spaces except newline, so the input looks like a stream of

	maxIO, maxWait, _ := globalHealConfig.Clone()
	waitForLowIO(maxIO, maxWait, currentHTTPIO)
}

func initBackgroundHealing(ctx context.Context, objAPI ObjectLayer) {
	bgSeq := newBgHealSequence()
	// Run the background healer
	for range globalBackgroundHealRoutine.workers {
		go globalBackgroundHealRoutine.AddWorker(ctx, objAPI, bgSeq)
	}

	globalBackgroundHealState.LaunchNewHealSequence(bgSeq, objAPI)
}

import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for {@link CharStreams#copy}.
 *
 * <p>{@link CharStreams#copy} has type specific optimizations for various common Appendable and
 * Reader implementations, this compares the performance of the different options.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
@NullUnmarked

import com.google.common.reflect.TypeToken;
import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.Reader;
import java.io.StringReader;
import java.io.StringWriter;
import java.io.Writer;
import java.lang.reflect.Method;
import java.lang.reflect.Type;
import java.math.BigDecimal;
import java.math.BigInteger;