name: Deploy Docs
on:
  workflow_run:
    workflows:
      - Build Docs
    types:
      - completed

permissions:
  deployments: write
  issues: write
  pull-requests: write
  statuses: write

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  deploy-docs:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}

        return name.startsWith("kotlin.jvm.functions.Function")
    }

    val ktTypeRawName = ktTypeAsText
        .trimEnd('?') // nullability is not part of JVM types
        .substringBefore('<') // generics are not part of parameter types in JVM method signatures

    val thisTypeAsKt = primitiveTypeStrings[name] ?: name
    return thisTypeAsKt.endsWith(ktTypeRawName)
}


private

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### 更主流的 Python

全部都基于标准的 **Python 3.6 类型**声明（感谢 Pydantic ）。没有新的语法需要学习。只需要标准的 Python 。

如果你需要2分钟来学习如何使用 Python 类型（即使你不使用 FastAPI ），看看这个简短的教程：[Python Types](python-types.md){.internal-link target=_blank}。

编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str

  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // addressType specifies the type of address carried by this EndpointSlice.
  // All addresses in this slice must be the same type. This field is
  // immutable after creation. The following address types are currently
  // supported:
  // * IPv4: Represents an IPv4 Address.
  // * IPv6: Represents an IPv6 Address.

 *
 * <p>The Invoker is designed to be flexible, allowing for different implementations
 * that can handle various types of {@link InvokerRequest InvokerRequests}. It also implements
 * {@link AutoCloseable} to ensure proper resource management.</p>
 *
 * @param <R> The specific type of {@link InvokerRequest} this {@code Invoker} can handle, extending {@link InvokerRequest}
 *
 * @since 4.0.0
 */
@Experimental

```

By declaring a *path operation function* parameter with the type being the `Request` **FastAPI** will know to pass the `Request` in that parameter.

/// tip

Note that in this case, we are declaring a path parameter beside the request parameter.

So, the path parameter will be extracted, validated, converted to the specified type and annotated with OpenAPI.

    S newSegment(MapMakerInternalMap<K, V, E, S> map, int initialCapacity);

    /**
     * Returns a freshly created entry, typed at the {@code E} type, for the given {@code segment}.
     */
    E newEntry(S segment, K key, int hash, @CheckForNull E next);

    /**
     * Returns a freshly created entry, typed at the {@code E} type, for the given {@code segment},
     * that is a copy of the given {@code entry}.

     * @param type The type of the class realm, must not be {@code null}.
     * @param parent The parent realm for the new realm, may be {@code null}.
     * @param parentImports The packages/types to import from the parent realm, may be {@code null}.
     * @param foreignImports The packages/types to import from foreign realms, may be {@code null}.

* 데이터 검증
* 자동 문서화

## 특별한 타입과 검증

`str`, `int`, `float` 등과 같은 단일 타입과는 별개로, `str`을 상속하는 더 복잡한 단일 타입을 사용할 수 있습니다.

모든 옵션을 보려면, <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic's exotic types</a> 문서를 확인하세요. 다음 장에서 몇가지 예제를 볼 수 있습니다.

예를 들어 `Image` 모델 안에 `url` 필드를 `str` 대신 Pydantic의 `HttpUrl`로 선언할 수 있습니다:

```Python hl_lines="4  10"

name: Test

on:
  push:
    branches:
      - master
  pull_request:
    types:
      - opened
      - synchronize
  schedule:
    # cron every week on monday
    - cron: "0 0 * * 1"

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  lint:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"