import model.Trigger
import projects.StageProject

val stageWithOsTriggers: Map<StageName, List<Os>> =
    mapOf(
        StageName.PULL_REQUEST_FEEDBACK to listOf(Os.LINUX, Os.WINDOWS),
        StageName.READY_FOR_NIGHTLY to listOf(Os.LINUX, Os.WINDOWS, Os.MACOS),
        StageName.READY_FOR_RELEASE to listOf(Os.LINUX, Os.WINDOWS, Os.MACOS),
    )

class StageTriggers(
    model: CIBuildModel,
    stage: Stage,

jobs:
  test:
    strategy:
      matrix:
        os: [ windows-latest, macos-latest ]
        python-version: [ "3.14" ]
        include:
          - os: ubuntu-latest
            python-version: "3.9"
            coverage: coverage
          - os: macos-latest
            python-version: "3.10"
            coverage: coverage
          - os: windows-latest
            python-version: "3.12"

package configurations

import common.Os
import common.buildScanTagParam
import common.getBuildScanCustomValueParam
import model.CIBuildModel
import model.Stage

class BuildLogicTest(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
        id(buildTypeId(model))
        name = "Build-logic checks"
        description = "Run check on all build-logic builds"

* validação de dados
* serialização de dados
* documentação de dados, etc.

Isso funciona da mesma forma que com os modelos Pydantic. E na verdade é alcançado da mesma maneira por baixo dos panos, usando Pydantic.

/// info | Informação

Lembre-se de que dataclasses não podem fazer tudo o que os modelos Pydantic podem fazer.

Então, você ainda pode precisar usar modelos Pydantic.

package promotion

import common.Os
import common.VersionedSettingsBranch
import common.gradleWrapper
import common.requiresOs
import jetbrains.buildServer.configs.kotlin.BuildType
import jetbrains.buildServer.configs.kotlin.triggers.vcs
import vcsroots.useAbsoluteVcs

// Gradle_Master_Promotion_SanityCheck
object SanityCheck : BuildType({
    id("Promotion_SanityCheck")
    name = "SanityCheck"

import os
from pathlib import Path

import pytest
from fastapi.testclient import TestClient


@pytest.fixture(scope="module")
def client():
    static_dir: Path = Path(os.getcwd()) / "static"
    static_dir.mkdir(exist_ok=True)
    sample_file = static_dir / "sample.txt"
    sample_file.write_text("This is a sample static file.")
    from docs_src.static_files.tutorial001_py39 import app

    with TestClient(app) as client:

import importlib
import os
import shutil

import pytest
from fastapi.testclient import TestClient

from tests.utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial002_py39"),
        pytest.param("tutorial002_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.additional_responses.{request.param}")

import importlib
import os
import shutil

import pytest
from fastapi.testclient import TestClient

from tests.utils import needs_py310


@pytest.fixture(
    name="client",
    params=[
        pytest.param("tutorial004_py39"),
        pytest.param("tutorial004_py310", marks=needs_py310),
    ],
)
def get_client(request: pytest.FixtureRequest):
    mod = importlib.import_module(f"docs_src.additional_responses.{request.param}")

/// tip | Dica

**GraphQL** resolve alguns casos de uso muito específicos.

Ele tem **vantagens** e **desvantagens** quando comparado a **web APIs** comuns.

Certifique-se de avaliar se os **benefícios** para o seu caso de uso compensam as **desvantagens**. 🤓

///

## Bibliotecas GraphQL { #graphql-libraries }

authors = [
    { name = "Sebastián Ramírez", email = "******@****.***" },
]
classifiers = [
    "Intended Audience :: Information Technology",
    "Intended Audience :: System Administrators",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python",
    "Topic :: Internet",
    "Topic :: Software Development :: Libraries :: Application Frameworks",