} else {
            str
        }

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

    FunctionalTestBucketGenerator(model, testClassDataJson).generate(generatedBucketsJson)
}

class FunctionalTestBucketGenerator(
    private val model: CIBuildModel,
    testTimeDataJson: File,
) {
    private val gson: Gson = GsonBuilder().setPrettyPrinting().create()
    private val buckets: Map<TestCoverage, List<SmallSubprojectBucket>> = buildBuckets(testTimeDataJson, model)

    fun generate(jsonFile: File) {

		}
	}

	r = dryDB.Table("(?) as u", DB.Model(&User{}).Select("name")).Find(&User{}).Statement
	if !regexp.MustCompile("SELECT \\* FROM \\(SELECT .name. FROM .users. WHERE .users.\\..deleted_at. IS NULL\\) as u WHERE .u.\\..deleted_at. IS NULL").MatchString(r.Statement.SQL.String()) {
		t.Errorf("Table with escape character, got %v", r.Statement.SQL.String())
	}

	user := *GetUser("SoftDelete", Config{})
	DB.Save(&user)

	var count int64
	var age uint

	if DB.Model(&User{}).Where("name = ?", user.Name).Count(&count).Error != nil || count != 1 {
		t.Errorf("Count soft deleted record, expects: %v, got: %v", 1, count)
	}

	if DB.Model(&User{}).Select("age").Where("name = ?", user.Name).Scan(&age).Error != nil || age != user.Age {

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;

		{Name: "ID", DBName: "id", BindNames: []string{"Model", "ID"}, DataType: schema.Uint, PrimaryKey: true, Tag: `gorm:"primarykey"`, TagSettings: map[string]string{"PRIMARYKEY": "PRIMARYKEY"}, Size: 64, HasDefaultValue: true, AutoIncrement: true},
		{Name: "CreatedAt", DBName: "created_at", BindNames: []string{"Model", "CreatedAt"}, DataType: schema.Time},
		{Name: "UpdatedAt", DBName: "updated_at", BindNames: []string{"Model", "UpdatedAt"}, DataType: schema.Time},

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`.

    @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

* 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).