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springboot-tdd

Desenvolvimento orientado a testes para Spring Boot com JUnit 5, Mockito, MockMvc, Testcontainers e JaCoCo. Use ao adicionar funcionalidades, corrigir bugs ou refatorar.

O que é springboot-tdd?

Este guia (skill) oferece um workflow completo de TDD para serviços Spring Boot, visando cobertura de testes acima de 80% (unitários + integração). Ele é útil para desenvolvedores que desejam garantir qualidade e robustez ao adicionar novas funcionalidades, endpoints, lógica de acesso a dados ou regras de segurança, além de correções de bugs e refatorações. A skill é compatível com os principais frameworks de teste do ecossistema Java/Spring (JUnit 5, Mockito, MockMvc, Testcontainers, JaCoCo) e fornece exemplos práticos de código para cada camada: serviços, controladores, repositórios e integração completa. O workflow segue o ciclo clássico do TDD: escrever um teste que falha, implementar o código mínimo para passar, refatorar mantendo os testes verdes e por fim verificar a cobertura com JaCoCo. Além disso, são apresentados padrões como Arrange-Act-Assert, uso de builders para dados de teste, e boas práticas como evitar mocks parciais e preferir stubbing explícito. O documento é focado em produtividade e qualidade, garantindo testes rápidos, isolados e determinísticos.

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Documentação

Workflow TDD para Spring Boot

Orientações de TDD para serviços Spring Boot com cobertura acima de 80% (unitários + integração).

Quando Usar

  • Novas funcionalidades ou endpoints
  • Correções de bugs ou refatorações
  • Adição de lógica de acesso a dados ou regras de segurança

Workflow

  1. Escreva os testes primeiro (eles devem falhar)
  2. Implemente o código mínimo para passar
  3. Refatore com os testes verdes
  4. Verifique a cobertura (JaCoCo)

Testes Unitários (JUnit 5 + Mockito)

@ExtendWith(MockitoExtension.class)
class MarketServiceTest {
  @Mock MarketRepository repo;
  @InjectMocks MarketService service;

  @Test
  void createsMarket() {
    CreateMarketRequest req = new CreateMarketRequest("nome", "desc", Instant.now(), List.of("cat"));
    when(repo.save(any())).thenAnswer(inv -> inv.getArgument(0));

    Market result = service.create(req);

    assertThat(result.name()).isEqualTo("nome");
    verify(repo).save(any());
  }
}

Padrões:

  • Organizar-Agir-Assertir (Arrange-Act-Assert)
  • Evite mocks parciais; prefira stubbing explícito
  • Use @ParameterizedTest para variantes

Testes de Camada Web (MockMvc)

@WebMvcTest(MarketController.class)
class MarketControllerTest {
  @Autowired MockMvc mockMvc;
  @MockBean MarketService marketService;

  @Test
  void returnsMarkets() throws Exception {
    when(marketService.list(any())).thenReturn(Page.empty());

    mockMvc.perform(get("/api/markets"))
        .andExpect(status().isOk())
        .andExpect(jsonPath("$.content").isArray());
  }
}

Testes de Integração (SpringBootTest)

@SpringBootTest
@AutoConfigureMockMvc
@ActiveProfiles("test")
class MarketIntegrationTest {
  @Autowired MockMvc mockMvc;

  @Test
  void createsMarket() throws Exception {
    mockMvc.perform(post("/api/markets")
        .contentType(MediaType.APPLICATION_JSON)
        .content("""
          {"name":"Teste","description":"Desc","endDate":"2030-01-01T00:00:00Z","categories":["geral"]}
        """))
      .andExpect(status().isCreated());
  }
}

Testes de Persistência (DataJpaTest)

@DataJpaTest
@AutoConfigureTestDatabase(replace = AutoConfigureTestDatabase.Replace.NONE)
@Import(TestContainersConfig.class)
class MarketRepositoryTest {
  @Autowired MarketRepository repo;

  @Test
  void savesAndFinds() {
    MarketEntity entity = new MarketEntity();
    entity.setName("Teste");
    repo.save(entity);

    Optional<MarketEntity> found = repo.findByName("Teste");
    assertThat(found).isPresent();
  }
}

Testcontainers

  • Use contêineres reutilizáveis para Postgres/Redis para espelhar produção
  • Injete via @DynamicPropertySource as URLs JDBC no contexto Spring

Cobertura (JaCoCo)

Trecho Maven:

<plugin>
  <groupId>org.jacoco</groupId>
  <artifactId>jacoco-maven-plugin</artifactId>
  <version>0.8.14</version>
  <executions>
    <execution>
      <goals><goal>prepare-agent</goal></goals>
    </execution>
    <execution>
      <id>report</id>
      <phase>verify</phase>
      <goals><goal>report</goal></goals>
    </execution>
  </executions>
</plugin>

Asserções

  • Prefira AssertJ (assertThat) para legibilidade
  • Para respostas JSON, use jsonPath
  • Para exceções: assertThatThrownBy(...)

Builders de Dados de Teste

class MarketBuilder {
  private String nome = "Teste";
  MarketBuilder comNome(String nome) { this.nome = nome; return this; }
  Market build() { return new Market(null, nome, MarketStatus.ACTIVE); }
}

Comandos CI

  • Maven: mvn -T 4 test ou mvn verify
  • Gradle: ./gradlew test jacocoTestReport

Lembre-se: mantenha os testes rápidos, isolados e determinísticos. Teste comportamento, não detalhes de implementação.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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