"responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                }
            }
        },

<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

/// note

Polecenie `uvicorn main:app` odnosi się do:

* `main`: plik `main.py` ("moduł" Python).

  }

  @Test
  fun nonAsciiFilename() {
    val expected =
      """
      |--AaB03x
      |Content-Disposition: form-data; name="attachment"; filename="resumé.pdf"
      |Content-Type: application/pdf; charset=utf-8
      |
      |Jesse’s Resumé
      |--AaB03x--
      |
      """.trimMargin().replace("\n", "\r\n")
    val body =
      MultipartBody.Builder("AaB03x")

     * application/e-pub+zip=epub<br>
     * application/x-ibooks+zip=ibooks<br>
     * text/plain=txt<br>
     * application/rtf=rtf<br>
     * application/vnd.ms-htmlhelp=chm<br>
     * application/zip=zip<br>
     * application/x-7z-comressed=7z<br>
     * application/x-bzip=bz<br>
     * application/x-bzip2=bz2<br>
     * application/x-tar=tar<br>
     * application/x-rar-compressed=rar<br>

<span style="color: green;">INFO</span>:     Started server process [28722]
<span style="color: green;">INFO</span>:     Waiting for application startup.
<span style="color: green;">INFO</span>:     Application startup complete.
```

</div>

/// note

`uvicorn main:app` 命令含义如下:

* `main`：`main.py` 文件（一个 Python「模块」）。
* `app`：在 `main.py` 文件中通过 `app = FastAPI()` 创建的对象。

                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",

                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",

                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",

komplexen System zur Verwaltung verteilter Container auf mehreren Maschinen, möchten Sie wahrscheinlich die **Replikation auf Cluster-Ebene abwickeln**, anstatt in jedem Container einen **Prozessmanager** (wie Gunicorn mit Workern) zu verwenden.

Diese verteilten Containerverwaltungssysteme wie Kubernetes verfügen normalerweise über eine integrierte Möglichkeit, die **Replikation von Containern** zu handhaben und gleichzeitig **Load Balancing** für die eingehenden Requests zu unterstützen....

			}
		}
	}

	return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
		contentType := r.Header.Get("Content-Type")
		if contentType == "application/json" {
			w.Header().Set("Content-Type", "application/json")
			jsonEncoder := json.NewEncoder(w)
			jsonEncoder.Encode(metrics)
			return
		}

		// If not JSON, return plain text. We format it as a markdown table for