public void testToStringNotNonsense() {
        IssueManagement im = new IssueManagement();
        im.setSystem("Velociraptor");
        im.setUrl("https://velo.localdomain");

        String s = im.toString();

        assert "IssueManagement {system=Velociraptor, url=https://velo.localdomain}".equals(s) : s;
    }

Onların kurslarını denemek isteyebilirsiniz:

* <a href="https://training.talkpython.fm/fastapi-courses" class="external-link" target="_blank">Talk Python Training</a>

<?xml version="1.0" encoding="UTF-8"?>
<settings>
  <webhooks enabled="true">
    <webhook url="https://gradle-bot.grdev.net/teamcity_slacktemplate" enabled="true" template="slack.com">
      <states>
        <state type="buildAddedToQueue" enabled="false" />
        <state type="buildRemovedFromQueue" enabled="true" />
        <state type="buildStarted" enabled="true" />
        <state type="changesLoaded" enabled="true" />

    types:
      - closed
  workflow_dispatch:
    inputs:
      number:
        description: PR number
        required: true
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  latest-changes:
    runs-on: ubuntu-latest
    steps:
      - name: Dump GitHub context

# Geschichte, Design und Zukunft { #history-design-and-future }

Vor einiger Zeit fragte <a href="https://github.com/fastapi/fastapi/issues/3#issuecomment-454956920" class="external-link" target="_blank">ein **FastAPI**-Benutzer</a>:

> Was ist die Geschichte dieses Projekts? Es scheint aus dem Nichts in ein paar Wochen zu etwas Großartigem geworden zu sein [...]

Hier ist ein wenig über diese Geschichte.

## Alternativen { #alternatives }

# 使用数据类

FastAPI 基于 **Pydantic** 构建，前文已经介绍过如何使用 Pydantic 模型声明请求与响应。

但 FastAPI 还可以使用数据类（<a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a>）：

{* ../../docs_src/dataclasses_/tutorial001.py hl[1,7:12,19:20] *}

这还是借助于 **Pydantic** 及其<a href="https://pydantic-docs.helpmanual.io/usage/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">内置的 `dataclasses`</a>。

但请记住，由于所有内容都在内存中以单个列表的形式处理，因此它只能在进程运行时工作，并且只能使用单个进程。

如果您需要与 FastAPI 集成更简单但更强大的功能，支持 Redis、PostgreSQL 或其他功能，请查看 [encode/broadcaster](https://github.com/encode/broadcaster)。

///

## 更多信息

要了解更多选项，请查看 Starlette 的文档：

* [WebSocket 类](https://www.starlette.dev/websockets/)

 * <a href="https://maven.apache.org/components/plugin-tools/maven-plugin-tools-annotations/index.html" target="_blank">
 * Maven Plugin Tool for Annotations</a>.
 *
 * @see <a href="https://maven.apache.org/guides/plugin/guide-java-plugin-development.html" target="_blank">Guide to Developing Java Plugins</a>

///

# Test security scheme at the top level, including OpenAPI
# Ref: https://github.com/fastapi/fastapi/discussions/14263
# Ref: https://github.com/fastapi/fastapi/issues/14271
from fastapi import Depends, FastAPI
from fastapi.security import HTTPBearer
from fastapi.testclient import TestClient
from inline_snapshot import snapshot

app = FastAPI()

bearer_scheme = HTTPBearer()


@app.get("/", dependencies=[Depends(bearer_scheme)])