!!! note
    Notice that as we communicate with the database using `await`, the *path operation function* is declared with `async`.

### About `{**note.dict(), "id": last_record_id}`

`note` is a Pydantic `Note` object.

`note.dict()` returns a `dict` with its data, something like:

```Python
{
    "text": "Some note",
    "completed": False,
}
```

### 🔃 `{**note.dict(), "id": last_record_id}`

`note` Pydantic `Note` 🎚.

`note.dict()` 📨 `dict` ⏮️ 🚮 💽, 🕳 💖:

```Python
{
    "text": "Some note",
    "completed": False,
}
```

✋️ ⚫️ 🚫 ✔️ `id` 🏑.

👥 ✍ 🆕 `dict`, 👈 🔌 🔑-💲 👫 ⚪️➡️ `note.dict()` ⏮️:

```Python
{**note.dict()}
```

<!--
If no, just write "NONE" in the release-note block below.
If yes, a release note is required:
Enter your extended release note in the block below. If the PR requires additional action from users switching to the new release, include the string "action required".

For more information on release notes see: https://git.k8s.io/community/contributors/guide/release-notes.md
-->
```release-note

```

```

!!! Note "笔记"

    注意，本例与数据库通信时使用 `await`，因此要把*路径操作函数*声明为异步函数（`asnyc`）。

### 关于 `{**note.dict(), "id": last_record_id}`

`note` 是 Pydantic `Note` 对象：

`note.dict()` 返回包含如下数据的**字典**：

```Python
{
    "text": "Some note",
    "completed": False,
}
```

但它不包含 `id` 字段。

因此要新建一个包含 `note.dict()` 键值对的**字典**：

```Python
{**note.dict()}
```

@needs_pydanticv1
def test_create_read(app: FastAPI):
    with TestClient(app) as client:
        note = {"text": "Foo bar", "completed": False}
        response = client.post("/notes/", json=note)
        assert response.status_code == 200, response.text
        data = response.json()
        assert data["text"] == note["text"]
        assert data["completed"] == note["completed"]
        assert "id" in data
        response = client.get("/notes/")

	defer f.Close()

	c := 0
sections:
	for i, s := range f.Sections {
		if s.Type != elf.SHT_NOTE {
			continue
		}

		d, err := s.Data()
		if err != nil {
			t.Logf("reading data of note section %d: %v", i, err)
			continue
		}

		for len(d) > 0 {

			// ELF standards differ as to the sizes in
			// note sections.  Both the GNU linker and
			// gold always generate 32-bit sizes, so that

setup_file() {
    cd /tf/tensorflow
    bazel version  # Start the bazel server
    # Without this, git errors if /tf/tensorflow directory owner is different
    git config --global --add safe.directory /tf/tensorflow
    # Note that you could generate a list of all the affected targets with e.g.:
    # bazel query $(paste -sd "+" $BATS_FILE_TMPDIR/changed_files) --keep_going
    # Only shows Added, Changed, Modified, Renamed, and Type-changed files

## Importe `Field`

Primeiro, você tem que importá-lo:

```Python hl_lines="4"
{!../../../docs_src/body_fields/tutorial001.py!}
```

!!! warning "Aviso"
    Note que `Field` é importado diretamente do `pydantic`, não do `fastapi` como todo o resto (`Query`, `Path`, `Body`, etc).

## Declare atributos do modelo

Você pode então utilizar `Field` com atributos do modelo:

   * {@code SerializableTester} calls with other, GWT-compatible tests.
   *
   * <p>Note that the specified object may not be known by the compiler to be a {@link
   * java.io.Serializable} instance, and is thus declared an {@code Object}. For example, it might
   * be declared as a {@code List}.
   *
   * <p>Note also that serialization is not in general required to return an object that is

⚫️ 🔜:

* 📨 👈 👔 📟 📨.
* 📄 ⚫️ ✅ 🗄 🔗 ( & , 👩‍💻 🔢):

<img src="/img/tutorial/response-status-code/image01.png">

!!! note
    📨 📟 (👀 ⏭ 📄) 🎦 👈 📨 🔨 🚫 ✔️ 💪.

    FastAPI 💭 👉, &amp; 🔜 🏭 🗄 🩺 👈 🇵🇸 📤 🙅‍♂ 📨 💪.

## 🔃 🇺🇸🔍 👔 📟

!!! note
    🚥 👆 ⏪ 💭 ⚫️❔ 🇺🇸🔍 👔 📟, 🚶 ⏭ 📄.

🇺🇸🔍, 👆 📨 🔢 👔 📟 3️⃣ 9️⃣ 🍕 📨.

👫 👔 📟 ✔️ 📛 🔗 🤔 👫, ✋️ ⚠ 🍕 🔢.

📏: