attributes {
        attribute(Usage.USAGE_ATTRIBUTE, objects.named(Usage.JAVA_RUNTIME))
        attribute(Category.CATEGORY_ATTRIBUTE, objects.named(Category.LIBRARY))
        attribute(LibraryElements.LIBRARY_ELEMENTS_ATTRIBUTE, objects.named(libraryElements))
    }
    isCanBeResolved = true
    isCanBeConsumed = false

        isCanBeConsumed = true
        extendsFrom(configurations.implementation.get())
        attributes {
            attribute(Usage.USAGE_ATTRIBUTE, objects.named(Usage.JAVA_RUNTIME))
            attribute(Category.CATEGORY_ATTRIBUTE, objects.named(Category.DOCUMENTATION))
            attribute(DocsType.DOCS_TYPE_ATTRIBUTE, objects.named("gradle-source-folders"))
        }
        val main = sourceSets.main.get()

```Python hl_lines="4  7-8  18-19"
{!../../../docs_src/sql_databases/sql_app/models.py!}
```

The `__tablename__` attribute tells SQLAlchemy the name of the table to use in the database for each of these models.

### Create model attributes/columns

Now create all the model (class) attributes.

Each of these attributes represents a column in its corresponding database table.

We use `Column` from SQLAlchemy as the default value.

{!../../../docs_src/sql_databases_peewee/sql_app/models.py!}
```

!!! tip
    Peewee creates several magic attributes.

    It will automatically add an `id` attribute as an integer to be the primary key.

    It will chose the name of the tables based on the class names.

    For the `Item`, it will create an attribute `owner_id` with the integer ID of the `User`. But we don't declare it anywhere.

## Create the Pydantic models

              // Ignore this attribute, it isn't recognizable as a date.
            }
          }
          attributeName.equals("max-age", ignoreCase = true) -> {
            try {
              deltaSeconds = parseMaxAge(attributeValue)
              persistent = true
            } catch (_: NumberFormatException) {
              // Ignore this attribute, it isn't recognizable as a max age.
            }

!!! info
    In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.

### Use the form data

!!! tip
    The instance of the dependency class `OAuth2PasswordRequestForm` won't have an attribute `scope` with the long string separated by spaces, instead, it will have a `scopes` attribute with the actual list of strings for each scope sent.

    We are not using `scopes` in this example, but the functionality is there if you need it.

* For `PUT` requests to `/items/{item_id}`, Read the body as JSON:
    * Check that it has a required attribute `name` that should be a `str`.
    * Check that it has a required attribute `price` that has to be a `float`.
    * Check that it has an optional attribute `is_offer`, that should be a `bool`, if present.
    * All this would also work for deeply nested JSON objects.

* For `PUT` requests to `/items/{item_id}`, Read the body as JSON:
    * Check that it has a required attribute `name` that should be a `str`.
    * Check that it has a required attribute `price` that has to be a `float`.
    * Check that it has an optional attribute `is_offer`, that should be a `bool`, if present.
    * All this would also work for deeply nested JSON objects.

# CL 86160044 os: Implement symlink support for Windows, Michael Fraenkel <******@****.***>
pkg syscall (windows-386), const FILE_ATTRIBUTE_REPARSE_POINT = 1024
pkg syscall (windows-386), const FILE_ATTRIBUTE_REPARSE_POINT ideal-int
pkg syscall (windows-386), const FILE_FLAG_OPEN_REPARSE_POINT = 2097152
pkg syscall (windows-386), const FILE_FLAG_OPEN_REPARSE_POINT ideal-int