*/
    public RelatedQueryHelper() {
        super();
    }

    /**
     * Initializes the RelatedQueryHelper after dependency injection is complete.
     * This method is called automatically by the dependency injection framework
     * and loads the initial related query configurations.
     */
    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {

  "durations" : [ {
    "testProject" : "excludeRuleMergingBuild",
    "linux" : 233
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
  "durations" : [ {

    O SQLModel saberá que algo declarado como `str` será uma coluna SQL do tipo `TEXT` (ou `VARCHAR`, dependendo do banco de dados).

### Criar um Engine { #create-an-engine }
Um `engine` SQLModel (por baixo dos panos, ele é na verdade um `engine` do SQLAlchemy) é o que **mantém as conexões** com o banco de dados.

        with:
          python-version: "3.11"
      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install docs extras
        run: uv pip install -r requirements-docs.txt
      - name: Export Language Codes
        id: show-langs

    "groups" : [ {
      "testProject" : "excludeRuleMergingBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",
    "groups" : [ {

<project>
  <modelVersion>4.0.0</modelVersion>

  <parent>
    <groupId>lifecycle-participant-reactor-dependency-injection</groupId>
    <artifactId>parent</artifactId>
    <version>1.0</version>
  </parent>

  <artifactId>module-b</artifactId>

        with:
          python-version: ${{ matrix.python-version }}
      - name: Setup uv
        uses: astral-sh/setup-uv@v7
        with:
          version: "0.4.15"
          enable-cache: true
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - run: mkdir coverage
      - name: Test

    /**
     * How the test project is set up:
     *
     * 1. dependencyManagement lists dependencies on a & b,
     *    with an exclusion on c in b.
     * 2. the child project lists a dependency on project a only
     * 3. a depends on b (which is transitive to the child project),
     *    and b depends on c.
     *
     * We should see that the resulting size of collected artifacts is two:
     * a & b only.

        List<ModelProblem> problems1 = new ArrayList<>();
        Collections.addAll(
                problems1,
                new DefaultModelProblem(
                        "Missing required dependency",
                        ModelProblem.Severity.ERROR,
                        null,
                        "pom.xml",
                        25,
                        10,
                        null,

    }

    /**
     * Gets the scope of (transitive) dependencies that should be collected. Dependency collection refers to the process
     * of calculating the complete dependency tree in terms of artifact coordinates. In contrast to dependency
     * resolution, this does not include the download of the files for the dependency artifacts. It is meant for mojos