{[]string{"192.168.1.210:9000/tmp/dir0", "192.168.1.210:9000/tmp/dir1", "192.168.1.210:9000/tmp/dir2", "192.168.110:9000/tmp/dir3"}, fmt.Errorf("'192.168.1.210:9000/tmp/dir0': invalid URL endpoint format: missing scheme http or https")},
	}

	for _, testCase := range testCases {
		_, err := NewEndpoints(testCase.args...)

# Перші кроки

Найпростіший файл FastAPI може виглядати так:

```Python
{!../../docs_src/first_steps/tutorial001.py!}
```

Скопіюйте це до файлу `main.py`.

Запустіть сервер:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>

  @GwtIncompatible // TODO
  @SuppressWarnings("fallthrough")
  public static long divide(long p, long q, RoundingMode mode) {
    checkNotNull(mode);
    long div = p / q; // throws if q == 0
    long rem = p - q * div; // equals p % q

    if (rem == 0) {
      return div;
    }

    /*
     * Normal Java division rounds towards 0, consistently with RoundingMode.DOWN. We just have to

pydantic>=1.8.0,<2.0.0
uvicorn>=0.15.0,<0.16.0
```

E você normalmente instalaria essas dependências de pacote com `pip`, por exemplo:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic uvicorn
```

</div>

/// info

Há outros formatos e ferramentas para definir e instalar dependências de pacote.

  @GwtIncompatible // TODO
  @SuppressWarnings("fallthrough")
  public static long divide(long p, long q, RoundingMode mode) {
    checkNotNull(mode);
    long div = p / q; // throws if q == 0
    long rem = p - q * div; // equals p % q

    if (rem == 0) {
      return div;
    }

    /*
     * Normal Java division rounds towards 0, consistently with RoundingMode.DOWN. We just have to

    AbstractTensorHandlePtr fDiff(f_outputs[0]);

    // Calculate using the difference quotient definition:
    // (f(theta + eps) - f(theta - eps)) / (2 * eps).
    TF_RETURN_IF_ERROR(
        ops::Div(ctx, fDiff.get(), two_eps.get(), f_outputs, "diff_quotient"));
    AbstractTensorHandlePtr diff_quotient(f_outputs[0]);

    TF_Tensor* grad_tensor;
    TF_RETURN_IF_ERROR(GetValue(diff_quotient.get(), &grad_tensor));

```

📁 `__init__.py` 🛁 📁, ✋️ ⚫️ 💬 🐍 👈 `sql_app` ⏮️ 🌐 🚮 🕹 (🐍 📁) 📦.

🔜 ➡️ 👀 ⚫️❔ 🔠 📁/🕹 🔨.

## ❎ `SQLAlchemy`

🥇 👆 💪 ❎ `SQLAlchemy`:

<div class="termy">

```console
$ pip install sqlalchemy

---> 100%
```

</div>

## ✍ 🇸🇲 🍕

➡️ 🔗 📁 `sql_app/database.py`.

### 🗄 🇸🇲 🍕

```Python hl_lines="1-3"
{!../../docs_src/sql_databases/sql_app/database.py!}

///

## ✅ 🏧 🛠️ 🩺

🔜, 🏃 `uvicorn`, ⚙️ 🕹 `app.main` & 🔢 `app`:

<div class="termy">

```console
$ uvicorn app.main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

&amp; 📂 🩺 <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

* 转到项目目录（在`Dockerfile`所在的位置，包含`app`目录）。
* 构建你的 FastAPI 镜像：


<div class="termy">

```console
$ docker build -t myimage .

---> 100%
```

</div>


/// tip

注意最后的 `.`，它相当于`./`，它告诉 Docker 用于构建容器镜像的目录。

在本例中，它是相同的当前目录（`.`）。

///

### 启动 Docker 容器

* 根据你的镜像运行容器：

<div class="termy">

```console

figure,footer,header,hgroup,main,nav,section{display:block}mark{background:#FF0;color:#000}template{display:none}")),l||i(a,d),a}var k,l,m="3.7.3",n=a.html5||{},o=/^<|^(?:button|map|select|textarea|object|iframe|option|optgroup)$/i,p=/^(?:a|b|code|div|fieldset|h1|h2|h3|h4|h5|h6|i|label|li|ol|p|q|span|strong|style|table|tbody|td|th|tr|ul)$/i,q="_html5shiv",r=0,s={};!function(){try{var a=b.createElement("a");a.innerHTML="<xyz></xyz>",k="hidden"in a,l=1==a.childNodes.length||function(){b.createElement("a");var...