import jetbrains.buildServer.configs.kotlin.buildFeatures.parallelTests
import jetbrains.buildServer.configs.kotlin.buildFeatures.pullRequests
import model.CIBuildModel
import model.StageName

fun checkCleanDirUnixLike(dir: String, exitOnFailure: Boolean = true) = """
    REPO=$dir
    if [ -e ${'$'}REPO ] ; then
        tree ${'$'}REPO
        rm -rf ${'$'}REPO

            }

            Model model;

            // TODO hack: don't rebuild model if it was already loaded during reactor resolution
            final WorkspaceReader workspace = session.getWorkspaceReader();
            if (workspace instanceof MavenWorkspaceReader) {
                model = ((MavenWorkspaceReader) workspace).findModel(pomArtifact);
                if (model != null) {
                    return model;

    description: Optional[str] = None
    model_b: ModelB

    @validator("name")
    def lower_username(cls, name: str, values):
        if not name.endswith("A"):
            raise ValueError("name must end in A")
        return name


async def get_model_c() -> ModelC:
    return ModelC(username="test-user", password="test-password")


@app.get("/model/{name}", response_model=ModelA)

     *
     * @param model The model whose URLs should be normalized, may be {@code null}.
     * @param request The model building request that holds further settings, must not be {@code null}.
     */
    Model normalize(Model model, ModelBuilderRequest request);

    @Deprecated
    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);
    }

    public Model interpolate(Model model, File projectDir, ProjectBuilderConfiguration config, boolean debugEnabled)

     *
     * @param model The model whose build plugin configuration should be expanded, must not be <code>null</code>.
     * @param request The model building request that holds further settings, must not be {@code null}.
     * @param problems The container used to collect problems that were encountered, must not be {@code null}.
     */

Like `item.model_dump(exclude_unset=True)`.

!!! info
    In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

    The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

import jetbrains.buildServer.configs.kotlin.ParameterDisplay
import jetbrains.buildServer.configs.kotlin.Project
import model.CIBuildModel
import model.FunctionalTestBucketProvider
import model.Stage
import model.StageName
import model.StatisticsBasedPerformanceTestBucketProvider
import java.io.File

class CheckProject(
    model: CIBuildModel,
    functionalTestBucketProvider: FunctionalTestBucketProvider
) : Project({
    id("Check")

     */
    default Model injectProfile(
            Model model, Profile profile, ModelBuilderRequest request, ModelProblemCollector problems) {
        return injectProfiles(model, List.of(profile), request, problems);
    }

    /**
     * Merges values from the specified profile into the given model. Implementations are expected to keep the profile

import jetbrains.buildServer.configs.kotlin.triggers.vcs
import model.CIBuildModel
import model.Stage
import model.StageName
import model.Trigger
import projects.StageProject

class StagePasses(model: CIBuildModel, stage: Stage, prevStage: Stage?, stageProject: StageProject) : BaseGradleBuildType(init = {
    id(stageTriggerId(model, stage))
    uuid = stageTriggerUuid(model, stage)
    name = stage.stageName.stageName + " (Trigger)"