unit-test-mapper-converter▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Unit testing patterns for MapStruct mappers and custom converters with comprehensive transformation validation.
- ›Covers field mapping accuracy, null handling, type conversions, nested objects, bidirectional mapping, enum mapping, and partial updates
- ›Includes Maven and Gradle setup with MapStruct, JUnit 5, and AssertJ dependencies
- ›Provides patterns for testing simple mappings, nested hierarchies, custom @Mapping annotations, enum @ValueMapping , and @MappingTarget partial updates
- ›De
Unit Testing Mappers and Converters
Overview
Provides patterns for unit testing MapStruct mappers and custom converter classes. Covers field mapping accuracy, null handling, type conversions, nested object transformations, bidirectional mapping, enum mapping, and partial updates.
When to Use
- Writing mapping tests for MapStruct mapper implementations
- Testing custom entity-to-DTO converters and bean mappings
- Validating nested object mapping and collection transformations
Instructions
1. Validate Generated Mapper Classes
Before testing, verify generated mapper classes exist:
# Maven
ls target/generated-sources/
# Gradle
ls build/generated/sources/
If generated classes are missing:
- Run
mvn compile(Maven) or./gradlew compileJava(Gradle) - Check that the MapStruct annotation processor is configured
- Verify
@Mapperinterfaces are in a compiled source set
2. Test Null Handling
assertThat(mapper.toDto(null)).isNull();
Configure nullValueMappingStrategy in mapper if null should return empty/default.
If null tests fail:
- Add
nullValueMappingStrategy = NullValueMappingStrategy.RETURN_NULLto@Mapper - Or use
nullValuePropertyMappingStrategyfor nested property handling
3. Test Bidirectional Mapping
User restored = mapper.toEntity(mapper.toDto(original));
assertThat(restored).usingRecursiveComparison().isEqualTo(original);
If bidirectional tests fail:
- Check
@Mappingannotations for field name mismatches - Verify both directions are explicitly mapped if auto-mapping fails
- Use
unmappedTargetPolicy = ReportingPolicy.ERRORto catch missing mappings
4. Test Nested Object Mapping
assertThat(dto.getNested()).usingRecursiveComparison().isEqualTo(expected);
If nested tests fail:
- Ensure nested mapper exists or is referenced via
uses = NestedMapper.class - Check collection element mappings with
elementMappingStrategy
5. Test Custom Expressions
Custom expressions in @Mapping(target = "field", expression = "java(...)") are not compile-time validated.
If expression tests fail:
- Verify the expression syntax and method signatures
- Check that imported classes are accessible from the expression context
6. Test Enum Mappings
Use @ValueMapping for enum-to-enum translations. Test all enum values exhaustively.
Best Practices
- Use
Mappers.getMapper()for standalone tests, Spring injection for integration tests - Use
usingRecursiveComparison()for complex nested structures - Test all mapper methods including collection transformations
- Verify null handling for all nullable source fields
- Test bidirectional mapping catches asymmetries between entity→DTO and DTO→entity
- Keep mapper tests focused on transformation correctness, not implementation details
Constraints and Warnings
- Compile-time generation: MapStruct generates code at compile time—verify generated classes exist before running tests
- Null handling: Configure
nullValueMappingStrategyandnullValuePropertyMappingStrategyappropriately - Expression validation: Expressions in
@Mappingare not validated at compile time—test them explicitly - Circular dependencies: MapStruct cannot handle circular dependencies between mappers
- Collection immutability: Mapping immutable collections may require special configuration
- Date/Time: Verify date/time objects map correctly across timezones
Examples
Complete executable test with imports:
package com.example.mapper;
import org.junit.jupiter.api.Test;
import org.mapstruct.factory.Mappers;
import static org.assertj.core.api.Assertions.*;
class UserMapperCompleteTest {
private final UserMapper mapper = Mappers.getMapper(UserMapper.class);
@Test
void shouldMapUserToDto() {
User user = new User(1L, "Alice", "[email protected]", 25);
UserDto dto = mapper.toDto(user);
assertThat(dto)
.isNotNull()
.extracting(UserDto::getName, UserDto::getEmail)
.containsExactly("Alice", "[email protected]");
}
@Test
void shouldMaintainRoundTrip() {
User original = new User(1L, "Alice", "[email protected]", 25);
assertThat(mapper.toEntity(mapper.toDto(original)))
.usingRecursiveComparison()
.isEqualTo(original);
}
@Test
void shouldHandleNullInput() {
assertThat(mapper.toDto(null)).isNull();
}
}
Additional examples in: references/examples.md
How to use unit-test-mapper-converter 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-mapper-converter
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches unit-test-mapper-converter 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-mapper-converter. Access the skill through slash commands (e.g., /unit-test-mapper-converter) 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
4.5★★★★★26 reviews- ★★★★★Aarav Diallo· Dec 28, 2024
unit-test-mapper-converter reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Chaitanya Patil· Dec 12, 2024
unit-test-mapper-converter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Alexander Tandon· Dec 8, 2024
We added unit-test-mapper-converter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Li Jain· Nov 27, 2024
Keeps context tight: unit-test-mapper-converter is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Carlos Desai· Nov 19, 2024
I recommend unit-test-mapper-converter for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Charlotte Ndlovu· Nov 15, 2024
Solid pick for teams standardizing on skills: unit-test-mapper-converter is focused, and the summary matches what you get after install.
- ★★★★★Piyush G· Nov 3, 2024
unit-test-mapper-converter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Oct 18, 2024
Keeps context tight: unit-test-mapper-converter is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Mei Rahman· Oct 18, 2024
unit-test-mapper-converter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Alexander Chen· Oct 10, 2024
Useful defaults in unit-test-mapper-converter — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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