package promotion

import common.BuildToolBuildJvm
import common.OpenJdk11
import common.OpenJdk17
import common.OpenJdk8
import common.Os
import common.VersionedSettingsBranch
import common.cleanupRule
import common.javaHome
import jetbrains.buildServer.configs.kotlin.Project

class PromotionProject(branch: VersionedSettingsBranch) : Project({
    id("Promotion")
    name = "Promotion"

val DslContext.uuidPrefix: String
    get() = settingsRoot.id.toString().substringAfter("Gradle")

data class VersionedSettingsBranch(val branchName: String) {
    /**
     * 0~23.
     * To avoid nightly promotion jobs running at the same time,
     * we run each branch on different hours.
     * master - 0:00
     * release - 1:00
     * release6x - 2:00
     * release7x - 3:00
     * ...
     * releaseNx - (N-4):00

        tasks.named("publishLocalPublicationToLocalRepository") {
            dependsOn("signGradleDistributionPublication")
        }
    }
}

/**
 * Tasks that are called by the (currently separate) promotion build running on CI.
 */
tasks.register("promotionBuild") {
    description = "Build production distros, smoke test them and publish"
    group = "publishing"

        build/reports/problems/problems-report.html
    """.trimIndent()

    paramsForBuildToolBuild(buildJvm, os, arch)
    params {
        // The promotion job doesn't have a branch, so %teamcity.build.branch% doesn't work.
        param("env.BUILD_BRANCH", "%teamcity.build.branch%")
    }

    vcs {

val Project.runBrokenForConfigurationCacheDocsTests: Boolean
    @JvmName("shouldRunBrokenForConfigurationCacheDocsTests") get() = gradleProperty(RUN_BROKEN_CONFIGURATION_CACHE_DOCS_TESTS).orNull.toBoolean()


/**
 * Is a promotion build task called?
 */
val Project.isPromotionBuild: Boolean
    get() {
        val taskNames = gradle.startParameter.taskNames
        return taskNames.contains("promotionBuild") ||

  * Note that NumPy's type promotion rules have been changed(See [NEP 50](https://numpy.org/neps/nep-0050-scalar-promotion.html#nep50)for details). This may change the precision at which computations happen, leading either to type errors or to numerical changes to results.