!!! tip
    We only need to create one `PeeweeGetterDict` class, and we can use it in all the Pydantic *models* / schemas.

## CRUD utils

Now let's see the file `sql_app/crud.py`.

### Create all the CRUD utils

Create all the same CRUD utils as in the SQLAlchemy tutorial, all the code is very similar:

```Python hl_lines="1  4-5  8-9  12-13  16-20  23-24  27-30"

      b) its license agreement:

i) effectively disclaims on behalf of all Contributors all warranties and
conditions, express and implied, including warranties or conditions of title
and non-infringement, and implied warranties or conditions of merchantability
and fitness for a particular purpose;

ii) effectively excludes on behalf of all Contributors all liability for damages,

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package common

import common.KillProcessMode.KILL_ALL_GRADLE_PROCESSES
import configurations.CompileAll
import configurations.FunctionalTest
import configurations.branchesFilterExcluding
import configurations.buildScanCustomValue
import configurations.buildScanTag

  // +optional
  optional string host = 1;

  // IngressRuleValue represents a rule to route requests for this IngressRule.
  // If unspecified, the rule defaults to a http catch-all. Whether that sends
  // just traffic matching the host to the default backend or all traffic to the
  // default backend, is left to the controller fulfilling the Ingress. Http is
  // currently the only supported IngressRuleValue.
  // +optional

  // +optional
  optional string verb = 2;

  // Group is the API Group of the Resource.  "*" means all.
  // +optional
  optional string group = 3;

  // Version is the API Version of the Resource.  "*" means all.
  // +optional
  optional string version = 4;

  // Resource is one of the existing resource types.  "*" means all.
  // +optional

#### Optimizations

A naive implementation would simply regenerate all resources, of all subscribed types, for each client, on any configuration change. However, this scales poorly. As a result, we have many levels of optimizations to avoid doing this work.

        ":tf_tensor_hdrs",
        # TODO: Only include tf_tstring_hdrs. Don't expose the implementation of TF_TString to API
        # users.
        ":tf_tstring",
        "//tensorflow/core:protos_all_cc",
    ],
)

tf_cuda_library(
    name = "c_api_internal",
    hdrs = [
        "c_api.h",
        "c_api_internal.h",
        "c_api_macros.h",
        "tf_buffer.h",

For a more "real life" example of this, imagine a bank.

Up to recently, most of the banks had multiple cashiers 👨‍💼👨‍💼👨‍💼👨‍💼 and a big line 🕙🕙🕙🕙🕙🕙🕙🕙.

All of the cashiers doing all the work with one client after the other 👨‍💼⏯.

And you have to wait 🕙 in the line for a long time or you lose your turn.

You probably wouldn't want to take your crush 😍 with you to do errands at the bank 🏦.

    ```

## Use the `scopes`

The parameter `security_scopes` will be of type `SecurityScopes`.

It will have a property `scopes` with a list containing all the scopes required by itself and all the dependencies that use this as a sub-dependency. That means, all the "dependants"... this might sound confusing, it is explained again later below.

    val functions = collectKtFunctionsFor(qualifiedBaseName, method)
    if (functions.isNotEmpty()) {
        return functions.all(predicate)
    }

    val properties = collectKtPropertiesFor(qualifiedBaseName, method)
    return properties.isNotEmpty() && properties.all(predicate)
}


private
fun KtFile.collectKtFunctionsFor(qualifiedBaseName: String, method: CtMethod): List<KtFunction> {