//// tab | Тест

`pip install "foo[bar]"`

Примеры строковых литералов во фрагментах кода: `"this"`, `'that'`.

Сложный пример строковых литералов во фрагментах кода: `f"I like {'oranges' if orange else "apples"}"`

Хардкор: `Yesterday, my friend wrote: "If you spell incorrectly correctly, you have spelled it incorrectly". To which I answered: "Correct, but 'incorrectly' is incorrectly not '"incorrectly"'"`

////

        } else if (bodyHasUnknownEncoding(request.headers)) {
          logger.log("--> END ${request.method} (encoded body omitted)")
        } else if (requestBody.isDuplex()) {
          logger.log("--> END ${request.method} (duplex request body omitted)")
        } else if (requestBody.isOneShot()) {
          logger.log("--> END ${request.method} (one-shot body omitted)")
        } else {
          var buffer = Buffer()

### Crear las Tablas { #create-the-tables }

Luego añadimos una función que usa `SQLModel.metadata.create_all(engine)` para **crear las tablas** para todos los *modelos de tabla*.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

Python type’larını nasıl kullanacağınıza dair 2 dakikalık bir hatırlatmaya ihtiyacınız varsa (FastAPI kullanmasanız bile) kısa eğitime göz atın: [Python Types](python-types.md).

Türleriyle standart Python yazarsınız:

```Python
from datetime import date

from pydantic import BaseModel

# Bir değişkeni str olarak belirt
# ve fonksiyon içinde editör desteği al

Tout est basé sur les déclarations de **types Python** standard (grâce à Pydantic). Aucune nouvelle syntaxe à apprendre. Juste du Python moderne standard.

Si vous avez besoin d'un rappel de 2 minutes sur l'utilisation des types en Python (même si vous n'utilisez pas FastAPI), consultez le court tutoriel : [Types Python](python-types.md).

Vous écrivez du Python standard avec des types :

```Python
from datetime import date

- release-notes.md
markdown_extensions:
  material.extensions.preview:
    targets:
      include:
      - '*'
  abbr: null
  attr_list: null
  footnotes: null
  md_in_html: null
  tables: null
  toc:
    permalink: true
  pymdownx.betterem: null
  pymdownx.caret: null
  pymdownx.highlight:
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    linenums_style: pymdownx-inline
  pymdownx.inlinehilite: null

使用 `check_same_thread=False` 允許 FastAPI 在不同執行緒中使用同一個 SQLite 資料庫。這是必要的，因為「單一請求」可能會使用「多個執行緒」（例如在依賴項中）。

別擔心，依照我們的程式結構，稍後我們會確保「每個請求只使用單一 SQLModel 的 session」，這其實就是 `check_same_thread` 想要達成的事。

### 建立資料表 { #create-the-tables }

接著我們新增一個函式，使用 `SQLModel.metadata.create_all(engine)` 為所有「資料表模型」建立資料表。

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[21:22] hl[21:22] *}

### 建立 Session 依賴 { #create-a-session-dependency }

		t.Fatalf("Failed to auto migrate, got error %v", err)
	}

	if tables, err := DB.Migrator().GetTables(); err != nil {
		t.Fatalf("Failed to get database all tables, but got error %v", err)
	} else {
		for _, t1 := range []string{"users", "accounts", "pets", "companies", "toys", "languages", "tools"} {
			hasTable := false
			for _, t2 := range tables {
				if t2 == t1 {
					hasTable = true
					break
				}
			}

The same would happen if you had something like a <dfn title='A union between multiple types means "any of these types".'>union</dfn> between different types where one or more of them are not valid Pydantic types, for example this would fail 💥:

{* ../../docs_src/response_model/tutorial003_04_py310.py hl[8] *}

É equivalente a `set(["name", "description"])`.

///

#### Usando `list`s em vez de `set`s { #using-lists-instead-of-sets }

Se você esquecer de usar um `set` e usar uma `list` ou `tuple` em vez disso, o FastAPI ainda o converterá em um `set` e funcionará corretamente:

{* ../../docs_src/response_model/tutorial006_py310.py hl[29,35] *}

## Recapitulação { #recap }