stmt.Context, _ = context.WithTimeout(stmt.Context, db.DefaultContextTimeout)
		}
	}

	// assign model values
	if stmt.Model == nil {
		stmt.Model = stmt.Dest
	} else if stmt.Dest == nil {
		stmt.Dest = stmt.Model
	}

	// parse model values
	if stmt.Model != nil {

import common.buildScanTagParam
import model.CIBuildModel
import model.Stage

class CheckLinks(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, failStage = false, init = {
        id("${model.projectId}_CheckLinks")
        name = "CheckLinks"
        description = "Check links in documentations"

        applyDefaults(
            model,
            this,

import java.util.List;
import java.util.Map;
import java.util.Properties;

import org.apache.maven.model.Activation;
import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblem;
import org.apache.maven.model.profile.DefaultProfileActivationContext;
import org.apache.maven.model.profile.ProfileSelector;
import org.apache.maven.profiles.activation.ProfileActivationException;

### Resource allocation

A denial of service caused by one model could bring down the entire server, but
we don't consider this as a vulnerability, given that models can exhaust
resources in many different ways and solutions exist to prevent this from
happening (e.g., rate limits, ACLs, monitors to restart broken servers).

### Model sharing

If the multitenant design allows sharing models, make sure that tenants and

The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`.

You can use `jsonable_encoder` for that.

It receives an object, like a Pydantic model, and returns a JSON compatible version:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

In this example, it would convert the Pydantic model to a `dict`, and the `datetime` to a `str`.

        } else {
            str
        }

    override fun createFunctionalTestsFor(
        model: CIBuildModel,
        stage: Stage,
        testCoverage: TestCoverage,
        bucketIndex: Int,
    ): FunctionalTest =
        FunctionalTest(
            model,
            testCoverage.getBucketUuid(model, bucketIndex),
            getName(testCoverage),
            getDescription(testCoverage),

Der `app_name` wäre `"ChimichangApp"`.

Und `items_per_user` würde seinen Standardwert von `50` behalten.

## Einstellungen in einem anderen Modul

Sie könnten diese Einstellungen in eine andere Moduldatei einfügen, wie Sie in [Größere Anwendungen – mehrere Dateien](../tutorial/bigger-applications.md){.internal-link target=_blank} gesehen haben.

import org.apache.maven.artifact.versioning.VersionRange;
import org.apache.maven.bridge.MavenRepositorySystem;
import org.apache.maven.model.Dependency;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.Repository;
import org.apache.maven.model.io.ModelReader;
import org.apache.maven.project.artifact.ArtifactWithDependencies;
import org.apache.maven.settings.Mirror;
import org.apache.maven.settings.Proxy;

* Retrieve the stored data.
* Put that data in a Pydantic model.
* Generate a `dict` without default values from the input model (using `exclude_unset`).
    * This way you can update only the values actually set by the user, instead of overriding values already stored with default values in your model.
* Create a copy of the stored model, updating its attributes with the received partial updates (using the `update` parameter).

    @Override
    public Model interpolate(Model model, Map<String, ?> context, boolean strict) throws ModelInterpolationException {
        Properties props = new Properties();
        props.putAll(context);

        return interpolate(model, null, new DefaultProjectBuilderConfiguration().setExecutionProperties(props), true);
    }

    @Override