RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

# (1)!
CMD ["fastapi", "run", "app/main.py", "--port", "80", "--workers", "4"]
```

1. Burada worker sayısını 4 yapmak için `--workers` komut satırı seçeneğini kullanıyoruz.

Bunun mantıklı olabileceği birkaç örnek:

#### Basit Bir Uygulama { #a-simple-app }

It is a plug-in for many frameworks (and there's a plug-in for Starlette too).

The way it works is that you write the definition of the schema using YAML format inside the docstring of each function handling a route.

And it generates OpenAPI schemas.

That's how it works in Flask, Starlette, Responder, etc.

        val gradleStep = CompileAll(buildModel, buildModel.stages[0]).steps.getGradleStep(GRADLE_RUNNER_STEP_NAME)
        assertEquals(
            listOf(
                "-Dorg.gradle.workers.max=%maxParallelForks%",
                "-PmaxParallelForks=%maxParallelForks%",
                "-Dorg.gradle.internal.plugins.portal.url.override=%gradle.plugins.portal.url%",
                "-Dscan.value.tcPipeline=master",

                "\"-Porg.gradle.performance.db.username=%performance.db.username%\"",
                "-DenableTestDistribution=%enableTestDistribution%",
                "-Dorg.gradle.workers.max=%maxParallelForks%",
                "-PmaxParallelForks=%maxParallelForks%",
                PLUGINS_PORTAL_URL_OVERRIDE,
                "-Dscan.value.tcPipeline=master",
                "-s",

它不是 Web 框架，而是服务器。例如它不提供按路径路由的工具——这是 Starlette（或 **FastAPI**）这类框架在其之上提供的功能。

它是 Starlette 与 **FastAPI** 推荐的服务器。

/// check | **FastAPI** 推荐将其作为：

运行 **FastAPI** 应用的主要 Web 服务器。

你也可以使用 `--workers` 命令行选项以获得异步的多进程服务器。

更多细节见[部署](deployment/index.md)一节。

///

## 基准与速度 { #benchmarks-and-speed }

import org.gradle.api.tasks.PathSensitivity
import org.gradle.api.tasks.TaskAction
// Using star import to workaround https://youtrack.jetbrains.com/issue/KTIJ-24390
import org.gradle.kotlin.dsl.*
import org.gradle.workers.WorkerExecutor
import javax.inject.Inject


@CacheableTask
abstract class IncubatingApiReportTask : DefaultTask() {

    private val additionalClasspath = project.objects.fileCollection().apply {

```{ .dockerfile .annotate }
FROM python:3.14

WORKDIR /code

COPY ./requirements.txt /code/requirements.txt

RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

COPY ./app /code/app

# (1)!
CMD ["fastapi", "run", "app/main.py", "--port", "80", "--workers", "4"]
```

COPY ./app /code/app

# (1)!
CMD ["fastapi", "run", "app/main.py", "--port", "80", "--workers", "4"]
```

1. Hier verwenden wir die `--workers` Befehlszeilenoption, um die Anzahl der Worker auf 4 festzulegen.

Hier sind einige Beispiele, wann das sinnvoll sein könnte:

#### Eine einfache Anwendung { #a-simple-app }

import org.gradle.api.file.ConfigurableFileCollection
import org.gradle.api.file.DirectoryProperty
import org.gradle.api.file.RegularFileProperty
import org.gradle.api.provider.Property
import org.gradle.workers.WorkParameters


interface IncubatingApiReportParameter : WorkParameters {
    val repositoryRoot: DirectoryProperty
    val srcDirs: ConfigurableFileCollection
    val htmlReportFile: RegularFileProperty

COPY ./app /code/app

# (1)!
CMD ["fastapi", "run", "app/main.py", "--port", "80", "--workers", "4"]
```

1. Тут ми використовуємо опцію командного рядка `--workers`, щоб встановити кількість працівників 4.

Ось кілька прикладів, коли це може мати сенс:

#### Простий застосунок { #a-simple-app }