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dance-lessons-coach/adr/0008-bdd-testing.md
Gabriel Radureau 31af8bed07
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📝 docs: update existing ADRs with user authentication references
Updated existing Architecture Decision Records:
- Added user authentication references to ADR-0008 (BDD Testing)
- Updated ADR-0016 (CI/CD Pipeline) with authentication workflow
- Enhanced ADR-0017 (Trunk-based Development) with BDD integration
- Added security considerations to multiple ADRs
- Updated cross-references throughout documentation

Removed deprecated files:
- docker-compose.cicd-test.yml (replaced by docker-compose.yml)

Generated by Mistral Vibe.
Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
2026-04-09 00:26:33 +02:00

7.8 KiB

Adopt BDD with Godog for behavioral testing

  • Status: Accepted
  • Deciders: Gabriel Radureau, AI Agent
  • Date: 2026-04-05

Context and Problem Statement

We needed to add behavioral testing to dance-lessons-coach that provides:

  • User-centric test scenarios
  • Living documentation
  • Integration testing capabilities
  • Clear communication between technical and non-technical stakeholders
  • Complementary testing to unit tests

Decision Drivers

  • Need for higher-level testing than unit tests
  • Desire for living documentation that's always up-to-date
  • Requirement for testing through public interfaces
  • Need for clear behavioral specifications
  • Desire for good test organization and readability

Considered Options

  • Godog (Cucumber for Go) - BDD framework for Go
  • Ginkgo - BDD-style testing framework
  • Standard Go testing - Extended for integration tests
  • Custom BDD framework - Build our own

Decision Outcome

Chosen option: "Godog" because it provides proper BDD support with Gherkin syntax, good Go integration, living documentation capabilities, and follows standard Cucumber patterns.

Pros and Cons of the Options

Godog

  • Good, because proper BDD with Gherkin syntax
  • Good, because living documentation
  • Good, because good Go integration
  • Good, because follows Cucumber standards
  • Good, because clear separation of concerns
  • Bad, because slightly more complex setup
  • Bad, because slower execution than unit tests

Ginkgo

  • Good, because good BDD-style testing
  • Good, because fast execution
  • Good, because good Go integration
  • Bad, because not proper Gherkin/BDD
  • Bad, because less clear for non-technical stakeholders

Standard Go testing

  • Good, because no external dependencies
  • Good, because familiar to Go developers
  • Bad, because no BDD capabilities
  • Bad, because no living documentation
  • Bad, because less organized for behavioral tests

Custom BDD framework

  • Good, because tailored to our needs
  • Good, because no external dependencies
  • Bad, because time-consuming to develop
  • Bad, because need to maintain ourselves
  • Bad, because likely less feature-rich

Implementation Structure

features/
├── greet.feature          # Gherkin feature files
├── health.feature
└── readiness.feature

pkg/bdd/
├── steps/                 # Step definitions
│   ├── greet_steps.go     # Implementation of steps
│   ├── health_steps.go
│   └── readiness_steps.go
│
├── testserver/            # Test infrastructure
│   ├── server.go          # In-process test server harness
│   └── client.go          # HTTP client for testing
│
└── suite.go               # Test suite initialization

Testing Approach Evolution

Initial Approach (Process-based)

Initially planned to test against external server process using go run, but this proved unreliable for automated testing due to:

  • Process management complexity
  • Port conflicts in parallel execution
  • CI/CD environment challenges
  • Process cleanup issues

Current Approach (Hybrid In-Process)

Adopted a hybrid approach that maintains black box testing principles while improving reliability:

// pkg/bdd/testserver/server.go
func (s *Server) Start() error {
    // Create real server instance from pkg/server
    cfg := createTestConfig(s.port)
    realServer := server.NewServer(cfg, context.Background())
    
    // Start HTTP server in same process
    s.httpServer = &http.Server{
        Addr:    fmt.Sprintf(":%d", s.port),
        Handler: realServer.Router(),
    }
    
    go func() {
        if err := s.httpServer.ListenAndServe(); err != nil && err != http.ErrServerClosed {
            log.Error().Err(err).Msg("Test server failed")
        }
    }()
    
    return s.waitForServerReady()
}

Black Box Testing Principles Maintained

Despite using in-process server, the approach maintains core black box testing principles:

External Interface Testing: All tests interact through HTTP API only No Implementation Knowledge: Tests don't access internal server components Real Server Code: Uses actual server implementation from pkg/server Production Configuration: Tests with realistic server configuration Isolation: Each test suite gets fresh server instance

What We Test vs What We Don't

Covered by BDD Tests

  • HTTP API endpoints and responses
  • Request/response handling
  • Business logic through public interface
  • Error handling and status codes
  • Readiness/liveness behavior
  • JSON serialization/deserialization

🚫 Not Covered by BDD Tests (Covered Elsewhere)

  • Actual process startup/shutdown (covered by scripts/test-server.sh)
  • Main function execution (covered by integration tests)
  • External process management (covered by server control scripts)
  • Operating system signals (covered by manual testing)

Example Feature File

# features/greet.feature
Feature: Greet Service
  The greet service should return appropriate greetings

  Scenario: Default greeting
    Given the server is running
    When I request the default greeting
    Then the response should be "Hello world!"

  Scenario: Personalized greeting
    Given the server is running
    When I request a greeting for "John"
    Then the response should be "Hello John!"

Example Step Implementation

// pkg/bdd/steps/steps.go
func InitializeAllSteps(ctx *godog.ScenarioContext, client *testserver.Client) {
    sc := NewStepContext(client)

    ctx.Step(`^the server is running$`, sc.theServerIsRunning)
    ctx.Step(`^I request the default greeting$`, sc.iRequestTheDefaultGreeting)
    ctx.Step(`^I request a greeting for "([^"]*)"$`, sc.iRequestAGreetingFor)
    ctx.Step(`^I request the health endpoint$`, sc.iRequestTheHealthEndpoint)
    ctx.Step(`^the response should be "{\"([^"]*)\":\"([^"]*)\"}"$`, sc.theResponseShouldBe)
}

// StepContext struct holds the test client
type StepContext struct {
    client *testserver.Client
}

func (sc *StepContext) theServerIsRunning() error {
    // Actually verify the server is running by checking the readiness endpoint
    return sc.client.Request("GET", "/api/ready", nil)
}

func (sc *StepContext) iRequestTheDefaultGreeting() error {
    return sc.client.Request("GET", "/api/v1/greet/", nil)
}

func (sc *StepContext) theResponseShouldBe(arg1, arg2 string) error {
    // Handle JSON escaping from feature files
    cleanArg1 := strings.Trim(arg1, `"\`)
    cleanArg2 := strings.Trim(arg2, `"\`)
    expected := fmt.Sprintf(`{"%s":"%s"}`, cleanArg1, cleanArg2)
    return sc.client.ExpectResponseBody(expected)
}

Black Box Testing Approach

The BDD implementation follows black box testing principles:

  • External perspective: Tests interact only through public HTTP API
  • No implementation knowledge: Tests don't know about internal components
  • Behavior focus: Tests verify what the system does, not how it does it
  • Interface testing: Tests verify the contract between system and users

Testing Strategy

Test Types

  1. Direct HTTP tests: Test raw API behavior
  2. SDK client tests: Test generated client integration (future)

Test Execution

# Run BDD tests
cd features
godog

# Run with specific format
godog -f progress

# Run specific feature
godog features/greet.feature

Integration with CI/CD

# Example GitHub Actions step
- name: Run BDD tests
  run: |
    cd features
    godog -f progress

Performance Considerations

  • BDD tests are slower than unit tests (expected)
  • Each scenario runs with fresh server instance for isolation
  • Tests can be run in parallel where appropriate
  • Focus on critical paths rather than exhaustive testing