"-Porg.gradle.java.installations.auto-download=false",
    os.javaInstallationLocations()
) + listOf(
    "-Porg.gradle.performance.branchName" to "%teamcity.build.branch%",
    "-Porg.gradle.performance.db.url" to "%performance.db.url%",
    "-Porg.gradle.performance.db.username" to "%performance.db.username%"
).map { (key, value) -> os.escapeKeyValuePair(key, value) }

const val individualPerformanceTestArtifactRules = """

## Tests de performance et rapidité

Lorsque vous vérifiez les tests de performance, il est commun de voir plusieurs outils de différents types comparés comme équivalents.

En particulier, on voit Uvicorn, Starlette et FastAPI comparés (parmi de nombreux autres outils).

    val id = "Util_Performance_AdHocPerformanceScenario${os.asName()}${arch.asName()}"
    name = "AdHoc Performance Scenario - ${os.asName()} ${arch.asName()}"
    id(id)

    applyPerformanceTestSettings(os = os, arch = arch, timeout = 420)
    artifactRules = individualPerformanceTestArtifactRules

    params {
        text(
            "performance.baselines",
            "",

        params {
            text(
                "performance.baselines",
                type.defaultBaselines,
                display = ParameterDisplay.PROMPT,
                allowEmpty = true,
                description = "The baselines you want to run performance tests against. Empty means default baseline."
            )
            param("performance.channel", performanceTestBuildSpec.channel())

Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).

The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.

The hierarchy is like:

* **Uvicorn**: an ASGI server
    * **Starlette**: (uses Uvicorn) a web microframework

package util

import jetbrains.buildServer.configs.kotlin.Project

object UtilPerformanceProject : Project({
    id("Util_Performance")
    name = "Performance"

    buildType(AdHocPerformanceScenarioLinux)
    buildType(AdHocPerformanceScenarioWindows)
    buildType(AdHocPerformanceScenarioMacOS)
    buildType(AdHocPerformanceScenarioMacAppleSilicon)

    params {
        param("env.GRADLE_ENTERPRISE_ACCESS_KEY", "%ge.gradle.org.access.key%")

                buildReportTab("Incubating APIs Report", "incubation-reports/all-incubating.html")
            }
            if (stage.performanceTests.isNotEmpty()) {
                buildReportTab("Performance", "performance-test-results.zip!report/index.html")
            }
        }

        specificBuildTypes = stage.specificBuilds.map {
            it.create(model, stage)
        }

    ```

    </div>

    !!! tip
        By adding the `standard`, Uvicorn will install and use some recommended extra dependencies.

        That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.

=== "Hypercorn"

    * <a href="https://gitlab.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>, an ASGI server also compatible with HTTP/2.

    const val PERFORMANCE_DB_PASSWORD = "org.gradle.performance.db.password"
    const val PERFORMANCE_DB_PASSWORD_ENV = "PERFORMANCE_DB_PASSWORD_TCAGENT"
    const val PERFORMANCE_DB_URL = "org.gradle.performance.db.url"
    const val PERFORMANCE_DB_USERNAME = "org.gradle.performance.db.username"
    const val PERFORMANCE_DEPENDENCY_BUILD_IDS = "org.gradle.performance.dependencyBuildIds"
    const val PERFORMANCE_MAX_PROJECTS = "maxProjects"

      maintainer="MinIO Inc <******@****.***>" \
      version="${RELEASE}" \
      release="${RELEASE}" \
      summary="MinIO is a High Performance Object Storage, API compatible with Amazon S3 cloud storage service." \