不过，仍可以验证、转换与注释（使用 Pydantic 模型的请求体等）其它正常声明的参数。

但在某些特定情况下，还是需要提取 `Request` 对象。

## 直接使用 `Request` 对象

假设要在*路径操作函数*中获取客户端 IP 地址和主机。

此时，需要直接访问请求。

```Python hl_lines="1  7-8"
{!../../../docs_src/using_request_directly/tutorial001.py!}
```

把*路径操作函数*的参数类型声明为 `Request`，**FastAPI** 就能把 `Request` 传递到参数里。

!!! tip "提示"

    注意，本例除了声明请求参数之外，还声明了路径参数。

    因此，能够提取、验证路径参数、并转换为指定类型，还可以用 OpenAPI 注释。

Angenommen, Sie möchten auf die IP-Adresse/den Host des Clients in Ihrer *Pfadoperation-Funktion* zugreifen.

Dazu müssen Sie direkt auf den Request zugreifen.

```Python hl_lines="1  7-8"
{!../../../docs_src/using_request_directly/tutorial001.py!}
```

Durch die Deklaration eines *Pfadoperation-Funktionsparameters*, dessen Typ der `Request` ist, weiß **FastAPI**, dass es den `Request` diesem Parameter übergeben soll.

!!! tip "Tipp"

# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

public class SetOperationsTest extends TestCase {
  @J2ktIncompatible
  @GwtIncompatible // suite
  public static Test suite() {
    TestSuite suite = new TestSuite();

    suite.addTest(
        SetTestSuiteBuilder.using(
                new TestStringSetGenerator() {
                  @Override
                  protected Set<String> create(String[] elements) {

        MapEntrySetTester.getSetValueWithNullValuesAbsentMethod(),
        MapEntrySetTester.getSetValueWithNullValuesPresentMethod());
  }

  public Test testsForCheckedMap() {
    return MapTestSuiteBuilder.using(
            new TestStringMapGenerator() {
              @Override
              protected Map<String, String> create(Entry<String, String>[] entries) {

  }

  protected Collection<Method> suppressForConcurrentSkipListSetWithComparator() {
    return Collections.emptySet();
  }

  public Test testsForEmptySet() {
    return SetTestSuiteBuilder.using(
            new TestStringSetGenerator() {
              @Override
              public Set<String> create(String[] elements) {
                return Collections.emptySet();
              }
            })

    // Not testing rowKeySet() or columnKeySet() of Table.transformValues()
    // since the transformation doesn't affect the row and column key sets.

    suite.addTest(
        SetTestSuiteBuilder.using(
                new TestStringSetGenerator() {
                  @Override
                  protected Set<String> create(String[] elements) {
                    Table<String, Integer, Character> table =

 *
 * @author Louis Wasserman
 */
public class MapsCollectionTest extends TestCase {
  public static Test suite() {
    TestSuite suite = new TestSuite();

    suite.addTest(
        NavigableMapTestSuiteBuilder.using(
                new TestStringSortedMapGenerator() {
                  @Override
                  protected SortedMap<String, String> create(Entry<String, String>[] entries) {

    // Not testing rowKeySet() or columnKeySet() of Table.transformValues()
    // since the transformation doesn't affect the row and column key sets.

    suite.addTest(
        SetTestSuiteBuilder.using(
                new TestStringSetGenerator() {
                  @Override
                  protected Set<String> create(String[] elements) {
                    Table<String, Integer, Character> table =

    ```

=== "Python 3.8+"

    ```Python hl_lines="34"
    {!> ../../../docs_src/body_updates/tutorial002.py!}
    ```

### Using Pydantic's `update` parameter

Now, you can create a copy of the existing model using `.model_copy()`, and pass the `update` parameter with a `dict` containing the data to update.

!!! info