## Use `CORSMiddleware` { #use-corsmiddleware }

You can configure it in your **FastAPI** application using the `CORSMiddleware`.

* Import `CORSMiddleware`.
* Create a list of allowed origins (as strings).
* Add it as a "middleware" to your **FastAPI** application.

You can also specify whether your backend allows:

* Credentials (Authorization headers, Cookies, etc).

<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

Câu lệnh `uvicorn main:app` được giải thích như sau:

* `main`: tệp tin `main.py` (một Python "mô đun").

**FastAPI** позаботится о том, чтобы считать эти данные из нужного места, а не из JSON.

/// note | Технические детали

Данные из форм обычно кодируются с использованием "media type" `application/x-www-form-urlencoded` когда он не включает файлы.

Но когда форма включает файлы, она кодируется как multipart/form-data. Если вы используете `File`, **FastAPI** будет знать, что ему нужно получить файлы из нужной части тела.

The contents that you return from your *path operation function* will be put inside of that `Response`.

And if that `Response` has a JSON media type (`application/json`), like is the case with the `JSONResponse` and `UJSONResponse`, the data you return will be automatically converted (and filtered) with any Pydantic `response_model` that you declared in the *path operation decorator*.

/// note

                    factory.addExtractor("text/plain", tikaExtractor);
                    factory.addExtractor("text/html", tikaExtractor);
                    factory.addExtractor("application/zip", zipExtractor);

                })//
        ;

        zipExtractor = container.getComponent("zipExtractor");
    }

    public void test_getText() {

### Create Database Tables on Startup { #create-database-tables-on-startup }

We will create the database tables when the application starts.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[32:37] hl[35:37] *}

Here we create the tables on an application startup event.

For production you would probably use a migration script that runs before you start your app. 🤓

/// tip

purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production,...

     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Waiting for application startup.
     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Application startup complete.
```

</div>

Chương trình dòng lệnh `fastapi` là **FastAPI CLI**.

				xhttp.AmzBucketReplicationStatus: "PENDING",
				xhttp.ContentType:                "application/json",
			},
		},
		{
			name: "someempty",
			arg: map[string]string{
				xhttp.AmzRestore:                 "",
				xhttp.ContentMD5:                 mustGetUUID(),
				xhttp.AmzBucketReplicationStatus: "",
				xhttp.ContentType:                "application/json",
			},
		},
	}
	for _, tt := range tests {

# Low latency mode for TCP
net.ipv4.tcp_low_latency=1

# The following variable is used to tell the kernel how 
# much of the socket buffer space should be used for TCP 
# window size, and how much to save for an application buffer.
net.ipv4.tcp_adv_win_scale=1

# disable RFC2861 behavior
net.ipv4.tcp_slow_start_after_idle = 0

# Fix faulty network setups
net.ipv4.tcp_mtu_probing=1
net.ipv4.tcp_base_mss=1280

# Disable ipv6