Zum Beispiel könnten Sie **ein Dict zurückgeben** wollen, oder ein Datenbank-Objekt, aber **es als Pydantic-Modell deklarieren**. Auf diese Weise übernimmt das Pydantic-Modell alle Datendokumentation, -validierung, usw. für das Objekt, welches Sie zurückgeben (z. B. ein Dict oder ein Datenbank-Objekt).

Stellen wir uns vor, dass das Laden des Modells **eine ganze Weile dauern** kann, da viele **Daten von der Festplatte** gelesen werden müssen. Sie möchten das also nicht für jeden Request tun.

MINIO_IDENTITY_OPENID_DISPLAY_NAME          (string)    Friendly display name for this Provider/App
MINIO_IDENTITY_OPENID_CONFIG_URL*           (url)       openid discovery document e.g. "https://accounts.google.com/.well-known/openid-configuration"
MINIO_IDENTITY_OPENID_CLIENT_ID*            (string)    unique public identifier for apps e.g. "292085223830.apps.googleusercontent.com"

If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.

the treacle from?'

  `You can draw water out of a water-well,' said the Hatter; `so
I should think you could draw treacle out of a treacle-well--eh,
stupid?'

  `But they were IN the well,' Alice said to the Dormouse, not
choosing to notice this last remark.

  `Of course they were', said the Dormouse; `--well in.'

  This answer so confused poor Alice, that she let the Dormouse

from pydantic import BaseModel

# Deklarieren Sie eine Variable als ein `str`
# und bekommen Sie Editor-Unterstütung innerhalb der Funktion
def main(user_id: str):
    return user_id


# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

private val TYPE_SUBTYPE = Regex("$TOKEN/$TOKEN")
private val PARAMETER = Regex(";\\s*(?:$TOKEN=(?:$TOKEN|$QUOTED))?")

/**
 * Returns a media type for this string.
 *
 * @throws IllegalArgumentException if this is not a well-formed media type.
 */
internal fun String.commonToMediaType(): MediaType {
  val typeSubtype: MatchResult =
    TYPE_SUBTYPE.matchAtPolyfill(this, 0)
      ?: throw IllegalArgumentException("No subtype found for: \"$this\"")

# -*- mode: yaml -*-
manifest:
  version: 1.0

# The `automations` section lists automations to run on PRs in this repository.
# Each automation has an `if` key that defines conditions to run the automation,
# as well as a `run` key with the actions to do. All the conditions need to be true
# for the actions to run (there is an implicit AND relation between
# the conditions on each line).  Each condition is specified as a Jinja expression.  You

# -*- mode: yaml -*-
manifest:
  version: 1.0

# The `automations` section lists automations to run on PRs in this repository.
# Each automation has an `if` key that defines conditions to run the automation,
# as well as a `run` key with the actions to do. All the conditions need to be true
# for the actions to run (there is an implicit AND relation between
# the conditions on each line).  Each condition is specified as a Jinja expression.  You

# -*- mode: yaml -*-
manifest:
  version: 1.0

# The `automations` section lists automations to run on PRs in this repository.
# Each automation has an `if` key that defines conditions to run the automation,
# as well as a `run` key with the actions to do. All the conditions need to be true
# for the actions to run (there is an implicit AND relation between
# the conditions on each line).  Each condition is specified as a Jinja expression.  You