org.apache.maven.internal.impl.model.DefaultModelPathTranslator
org.apache.maven.internal.impl.model.DefaultInheritanceAssembler
org.apache.maven.internal.impl.model.DefaultProfileSelector
org.apache.maven.internal.impl.model.DefaultProfileInjector
org.apache.maven.internal.impl.model.DefaultPluginManagementInjector
org.apache.maven.internal.impl.model.DefaultDependencyManagementInjector

!!! info
    ✔️ 🤯 👈 🎻 💪 🚫 🌐 Pydantic 🏷 💪.

    , 👆 5️⃣📆 💪 ⚙️ Pydantic 🏷.

    ✋️ 🚥 👆 ✔️ 📚 🎻 🤥 🤭, 👉 👌 🎱 ⚙️ 👫 🏋️ 🕸 🛠️ ⚙️ FastAPI. 👶

## 🎻 `response_model`

👆 💪 ⚙️ `dataclasses` `response_model` 🔢:

```Python hl_lines="1  7-13  19"
{!../../../docs_src/dataclasses/tutorial002.py!}
```

🎻 🔜 🔁 🗜 Pydantic 🎻.

👉 🌌, 🚮 🔗 🔜 🎦 🆙 🛠️ 🩺 👩‍💻 🔢:

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.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

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")

import org.junit.jupiter.api.Test
import org.mockserver.client.MockServerClient
import org.mockserver.configuration.Configuration
import org.mockserver.logging.MockServerLogger
import org.mockserver.model.HttpRequest.request
import org.mockserver.model.HttpResponse.response
import org.mockserver.socket.tls.KeyStoreFactory
import org.testcontainers.containers.MockServerContainer
import org.testcontainers.junit.jupiter.Container

import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.ParameterDisplay
import model.CIBuildModel
import model.PerformanceTestBuildSpec
import model.PerformanceTestType
import model.Stage

class PerformanceTest(
    model: CIBuildModel,
    stage: Stage,
    performanceTestBuildSpec: PerformanceTestBuildSpec,
    description: String,
    performanceSubProject: String,

import jetbrains.buildServer.configs.kotlin.buildSteps.script
import model.CIBuildModel
import model.Stage

/**
 * Build a Gradle distribution (dogfood-first) and use this distribution to build a distribution again (dogfood-second).
 * Use `dogfood-second` to run `test sanityCheck`.
 */
class Gradleception(
    model: CIBuildModel,
    stage: Stage,
    buildJvm: Jvm,
    jvmDescription: String,

    {!> ../../../docs_src/body/tutorial001_py310.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="4"
    {!> ../../../docs_src/body/tutorial001.py!}
    ```

## Create your data model

Then you declare your data model as a class that inherits from `BaseModel`.

Use standard Python types for all the attributes:

=== "Python 3.10+"

    ```Python hl_lines="5-9"
    {!> ../../../docs_src/body/tutorial001_py310.py!}

Most source code in Gradle is arranged by which part(s) of the build state model it acts on.
This affects the lifecycle of the code and the set of services available for dependency injection.
When working on some source code it is important to be aware of the model it acts on.