unit-test-controller-layer▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Unit testing REST controllers in isolation with MockMvc and mocked service dependencies.
- ›Covers testing all HTTP methods (GET, POST, PUT, PATCH, DELETE) with status code and response body validation using JsonPath assertions
- ›Includes patterns for request parameter binding, validation errors, exception handling, and content negotiation across different Accept and Content-Type headers
- ›Uses standalone MockMvc setup with Mockito to mock service layer dependencies, keeping tests focused o
Unit Testing REST Controllers with MockMvc
Overview
Provides patterns for unit testing @RestController and @Controller classes using MockMvc. Covers request/response handling, HTTP status codes, request parameter binding, validation, content negotiation, response headers, and exception handling with mocked service dependencies.
When to Use
Use for: controller tests, API endpoint testing, Spring MVC tests, mock HTTP requests, unit testing web layer endpoints, verifying REST controllers in isolation.
Instructions
- Setup standalone MockMvc:
MockMvcBuilders.standaloneSetup(controller)for isolated testing - Mock service dependencies: Use
@Mockfor all services,@InjectMocksfor the controller - Test HTTP methods: GET, POST, PUT, PATCH, DELETE with correct status codes
- Validate responses: JsonPath assertions for JSON, content matchers for body
- Test validation: Send invalid input, verify 400 status with error details
- Test errors: Verify 404, 400, 401, 403, 500 for appropriate conditions
- Validate headers: Both request (Authorization) and response headers
- Test content negotiation: Different Accept and Content-Type headers
Validation Workflow
Run test → If fails: add .andDo(print()) → Check actual vs expected → Fix assertion
Examples
Maven / Gradle Dependencies
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
Basic Pattern: GET Endpoint
import static org.mockito.Mockito.*;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.*;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.*;
@ExtendWith(MockitoExtension.class)
class UserControllerTest {
@Mock
private UserService userService;
@InjectMocks
private UserController userController;
private MockMvc mockMvc;
@BeforeEach
void setUp() {
mockMvc = MockMvcBuilders.standaloneSetup(userController).build();
}
@Test
void shouldReturnAllUsers() throws Exception {
List<UserDto> users = List.of(new UserDto(1L, "Alice"), new UserDto(2L, "Bob"));
when(userService.getAllUsers()).thenReturn(users);
mockMvc.perform(get("/api/users"))
.andExpect(status().isOk())
.andExpect(jsonPath("$[0].id").value(1))
.andExpect(jsonPath("$[0].name").value("Alice"));
verify(userService, times(1)).getAllUsers();
}
@Test
void shouldReturn404WhenUserNotFound() throws Exception {
when(userService.getUserById(999L))
.thenThrow(new UserNotFoundException("User not found"));
mockMvc.perform(get("/api/users/999"))
.andExpect(status().isNotFound());
verify(userService).getUserById(999L);
}
}
POST: Create Resource
@Test
void shouldCreateUserAndReturn201() throws Exception {
UserDto createdUser = new UserDto(1L, "Alice", "[email protected]");
when(userService.createUser(any())).thenReturn(createdUser);
mockMvc.perform(post("/api/users")
.contentType("application/json")
.content("{\"name\":\"Alice\",\"email\":\"[email protected]\"}"))
.andExpect(status().isCreated())
.andExpect(jsonPath("$.id").value(1))
.andExpect(jsonPath("$.name").value("Alice"));
verify(userService).createUser(any(UserCreateRequest.class));
}
PUT: Update Resource
@Test
void shouldUpdateUserAndReturn200() throws Exception {
UserDto updatedUser = new UserDto(1L, "Updated");
when(userService.updateUser(eq(1L), any())).thenReturn(updatedUser);
mockMvc.perform(put("/api/users/1")
.contentType("application/json")
.content("{\"name\":\"Updated\"}"))
.andExpect(status().isOk())
.andExpect(jsonPath("$.name").value("Updated"<How to use unit-test-controller-layer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add unit-test-controller-layer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches unit-test-controller-layer from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate unit-test-controller-layer. Access the skill through slash commands (e.g., /unit-test-controller-layer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★34 reviews- ★★★★★Fatima Gill· Dec 28, 2024
unit-test-controller-layer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chaitanya Patil· Dec 20, 2024
Keeps context tight: unit-test-controller-layer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Fatima Khan· Dec 16, 2024
Registry listing for unit-test-controller-layer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yuki Flores· Dec 12, 2024
Useful defaults in unit-test-controller-layer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kiara Srinivasan· Dec 8, 2024
unit-test-controller-layer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Fatima Garcia· Nov 19, 2024
unit-test-controller-layer reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Piyush G· Nov 11, 2024
Registry listing for unit-test-controller-layer matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kaira Sharma· Nov 7, 2024
Keeps context tight: unit-test-controller-layer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Kiara Rao· Nov 3, 2024
unit-test-controller-layer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kaira Johnson· Oct 26, 2024
unit-test-controller-layer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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