Escribes Python estándar con tipos:

```Python
from datetime import date

from pydantic import BaseModel

# Declara una variable como un str
# y obtiene soporte del editor dentro de la función
def main(user_id: str):
    return user_id


# Un modelo de Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date

如果你需要2分钟来学习如何使用 Python 类型（即使你不使用 FastAPI ），看看这个简短的教程：[Python Types](python-types.md){.internal-link target=_blank}。

编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

在許多情況下，環境變數的用途和適用性可能不會立刻顯現。但是在開發過程中，它們會在許多不同的場景中出現，因此瞭解它們是非常必要的。

        options.addOption(Option.builder()
                .longOpt(FORCE_INTERACTIVE)
                .desc(
                        "Run in interactive mode. Overrides, if applicable, the CI environment variable and --non-interactive/--batch-mode options")
                .build());
        options.addOption(Option.builder(SUPPRESS_SNAPSHOT_UPDATES)
                .longOpt("no-snapshot-updates")

   * response code is 407 proxy unauthorized, this returns the "Proxy-Authenticate" challenges.
   * Otherwise this returns an empty list of challenges.
   *
   * If a challenge uses the `token68` variant instead of auth params, there is exactly one
   * auth param in the challenge at key null. Invalid headers and challenges are ignored.
   * No semantic validation is done, for example that `Basic` auth must have a `realm`

            options.addOption(Option.builder()
                    .longOpt(FORCE_INTERACTIVE)
                    .desc(
                            "Run in interactive mode. Overrides, if applicable, the CI environment variable and --non-interactive/--batch-mode options")
                    .get());
            options.addOption(Option.builder(ALTERNATE_USER_SETTINGS)
                    .longOpt("settings")

///

### Step 2: create a `FastAPI` "instance" { #step-2-create-a-fastapi-instance }

{* ../../docs_src/first_steps/tutorial001_py39.py hl[3] *}

Here the `app` variable will be an "instance" of the class `FastAPI`.

This will be the main point of interaction to create all your API.

### Step 3: create a *path operation* { #step-3-create-a-path-operation }

#### Path { #path }

///

### Schritt 2: Erzeugen einer `FastAPI`-„Instanz“ { #step-2-create-a-fastapi-instance }

{* ../../docs_src/first_steps/tutorial001_py39.py hl[3] *}

In diesem Beispiel ist die Variable `app` eine „Instanz“ der Klasse `FastAPI`.

Dies wird der Hauptinteraktionspunkt für die Erstellung all Ihrer APIs sein.

### Schritt 3: Erstellen einer *Pfadoperation* { #step-3-create-a-path-operation }

//
// If any file inside the archive uses a non-local name
// (as defined by [filepath.IsLocal]) or a name containing backslashes
// and the GODEBUG environment variable contains `zipinsecurepath=0`,
// OpenReader returns the reader with an ErrInsecurePath error.
// A future version of Go may introduce this behavior by default.
// Programs that want to accept non-local names can ignore

Imagine that you want the parameter to be `item-query`.

Like in:

```
http://127.0.0.1:8000/items/?item-query=foobaritems
```

But `item-query` is not a valid Python variable name.

The closest would be `item_query`.

But you still need it to be exactly `item-query`...

Then you can declare an `alias`, and that alias is what will be used to find the parameter value: