AI Test Documentation: From Screenshots to Insights

from ai_documentation import ScreenshotAnalyzer
import cv2

class TestScreenshotDocumentation:
    def setup_method(self):
        self.analyzer = ScreenshotAnalyzer(
            model='vision-transformer-large',
            ocr_enabled=True
        )

    def test_automatic_bug_documentation(self):
        """AI (as discussed in [AI-Assisted Bug Triaging: Intelligent Defect Prioritization at Scale](/blog/ai-bug-triaging)) generates complete bug report from screenshot"""
        screenshot = cv2.imread('test_failures/checkout_error.png')

        analysis = self.analyzer.analyze_bug_screenshot(
            image=screenshot,
            context={
                'test_name': 'test_checkout_flow',
                'step': 'Payment submission',
                'expected': 'Order confirmation page'
            }
        )

        print(analysis.description)
        # Output:
        # "Error message displayed: 'Payment processing failed. Please try again.'
        # Located in red banner at top of checkout page.
        # Submit button is disabled (grayed out).
        # Credit card form shows validation error on CVV field (red outline).
        # Browser console shows JavaScript error: 'TypeError: Cannot read property amount of undefined'"

        # AI generates structured bug report
        bug_report = analysis.generate_bug_report()

        assert 'Payment processing failed' in bug_report['summary']
        assert 'CVV field' in bug_report['reproduction_steps']
        assert bug_report['severity'] == 'High'
        assert 'JavaScript error' in bug_report['technical_details']

const { VisualRegressionAI } = require('visual-ai-testing');

describe('Visual Documentation', () => {
  const visualAI = new VisualRegressionAI({
    baselineDir: 'screenshots/baseline',
    diffThreshold: 0.02
  });

  it('documents visual regressions automatically', async () => {
    const currentScreen = await page.screenshot();
    const baselineScreen = 'checkout_page_baseline.png';

    const analysis = await visualAI.compareAndDocument({
      baseline: baselineScreen,
      current: currentScreen,
      pageName: 'Checkout Page'
    });

    if (analysis.hasDifferences) {
      // AI generates detailed diff report
      console.log(analysis.report);
      /*
      Visual Differences Detected:

      1. Button Color Changed
         - Location: Payment section, submit button
         - Change: Background color #0066CC → #FF0000
         - Impact: High (primary CTA changed)
         - Likely cause: CSS modification

      2. Text Size Increased
         - Location: Product title
         - Change: font-size 16px → 18px
         - Impact: Low (minor typography change)

      3. Element Position Shifted
         - Location: Discount code input
         - Change: Moved 15px down
         - Impact: Medium (layout change)
         - Possible cause: Added promotional banner above
      */

      // AI categorizes changes
      expect(analysis.categorizedChanges).toEqual({
        critical: 1,  // Button color (CTA)
        medium: 1,    // Position shift
        minor: 1      // Text size
      });
    }
  });
});

from ai_documentation import VideoAnalyzer

class TestVideoDocumentation:
    def setup_method(self):
        self.video_analyzer = VideoAnalyzer(
            model='action-recognition-v3',
            ocr_enabled=True
        )

    def test_extract_steps_from_video(self):
        """Extract test steps from recorded test execution"""
        video_path = 'test_recordings/login_test_run.mp4'

        steps = self.video_analyzer.extract_test_steps(
            video_path=video_path,
            test_name='User Login Flow'
        )

        # AI identifies and documents each step
        assert len(steps) == 5

        assert steps[0].action == 'Navigate to login page'
        assert steps[0].timestamp == '00:00:02'
        assert steps[0].screenshot_path is not None

        assert steps[1].action == 'Enter username: test@example.com'
        assert steps[1].element == 'Input field (email type)'
        assert steps[1].timestamp == '00:00:05'

        assert steps[2].action == 'Enter password'
        assert steps[2].element == 'Input field (password type)'
        assert steps[2].sensitive_data_masked is True  # AI automatically masks passwords

        assert steps[3].action == 'Click "Sign In" button'
        assert steps[3].element == 'Button with text "Sign In"'

        assert steps[4].action == 'Verify redirect to dashboard'
        assert steps[4].validation == 'URL changed to /dashboard'
        assert steps[4].status == 'Success'

import com.aidocs.VideoFailureAnalyzer;
import org.junit.jupiter.api.Test;

public class VideoFailureAnalysisTest {
    private VideoFailureAnalyzer analyzer = new VideoFailureAnalyzer();

    @Test
    public void testIdentifyFailureFromVideo() {
        String videoPath = "test_recordings/checkout_failure.mp4";

        FailureAnalysis analysis = analyzer.analyzeFailure(videoPath);

        // AI pinpoints exact failure moment
        assertEquals("00:01:23", analysis.getFailureTimestamp());

        // AI describes what happened
        String description = analysis.getFailureDescription();
        assertTrue(description.contains("Payment button clicked"));
        assertTrue(description.contains("Error modal appeared"));
        assertTrue(description.contains("Network request returned 500"));

        // AI extracts technical details
        TechnicalDetails details = analysis.getTechnicalDetails();
        assertEquals("POST /api/payment", details.getFailedRequest());
        assertEquals(500, details.getHttpStatus());
        assertNotNull(details.getErrorMessage());

        // AI generates reproduction steps
        List<String> reproSteps = analysis.getReproductionSteps();
        assertEquals(5, reproSteps.size());
        assertEquals("Navigate to checkout page", reproSteps.get(0));
        assertEquals("Fill payment details", reproSteps.get(1));
        assertEquals("Click 'Complete Purchase' button", reproSteps.get(2));
        assertEquals("Observe 500 error", reproSteps.get(3));
    }
}

from ai_documentation import TestReportGenerator

class TestIntelligentReporting:
    def test_generate_insights_from_results(self):
        """AI analyzes test results to identify patterns"""
        generator = TestReportGenerator()

        # Feed test results from multiple runs
        test_results = load_test_results('last_30_days')

        report = generator.generate_insights_report(
            results=test_results,
            include_recommendations=True
        )

        # AI identifies patterns
        print(report.patterns)
        """
        IDENTIFIED PATTERNS:

        1. Flaky Test Pattern
           - Test: test_user_profile_update
           - Pattern: Fails 30% of time on Chrome, 0% on Firefox
           - Likely cause: Race condition in async JS execution
           - Recommendation: Add explicit wait for profile save confirmation

        2. Environment-Specific Failures
           - Tests: checkout_* suite
           - Pattern: 15% failure rate on staging, 0% on dev
           - Likely cause: Staging payment gateway timeout (>5s)
           - Recommendation: Increase timeout or mock payment service

        3. Time-Based Failures
           - Test: test_daily_report_generation
           - Pattern: Fails between 00:00-01:00 UTC
           - Likely cause: Database backup window
           - Recommendation: Skip test during maintenance window or use snapshot

        4. Progressive Degradation
           - Component: Product search
           - Pattern: Response time increased 40% over 2 weeks
           - Likely cause: Database index degradation
           - Recommendation: Review search query performance
        """

        # AI provides actionable recommendations
        assert len(report.recommendations) >= 4
        assert report.recommendations[0].priority == 'High'
        assert 'explicit wait' in report.recommendations[0].solution

const { ReleaseNotesGenerator } = require('ai-test-docs');

describe('Release Notes Generation', () => {
  it('generates release notes from test coverage', async () => {
    const generator = new ReleaseNotesGenerator({
      testResults: './test-results/',
      gitCommits: './git-log.json',
      jiraTickets: './jira-export.json'
    });

    const releaseNotes = await generator.generate({
      version: '2.5.0',
      startDate: '2025-09-01',
      endDate: '2025-10-01'
    });

    console.log(releaseNotes);
    /*
    Release 2.5.0 - Quality Report

    NEW FEATURES (Test Coverage: 95%)
    - Payment with Apple Pay (JIRA-1234)
      • 25 new test cases added
      • Integration tests: 100% passing
      • Browser compatibility: Chrome, Safari, Firefox

    - Dark mode support (JIRA-1235)
      • 18 visual regression tests
      • Accessibility tests: WCAG 2.1 AA compliant

    BUG FIXES (35 issues resolved)
    - High Priority: 8 (all verified fixed)
    - Medium Priority: 15 (all verified fixed)
    - Low Priority: 12 (all verified fixed)

    TEST COVERAGE CHANGES
    - Overall coverage: 87% → 89% (+2%)
    - New critical paths covered: 5
    - Deprecated tests removed: 12

    PERFORMANCE IMPROVEMENTS
    - Checkout flow: -200ms average (verified in load tests)
    - Search results: -150ms average (verified in 1000+ test runs)

    KNOWN ISSUES
    - Safari 14.x: Minor animation lag on transitions (non-blocking)
    - Edge case: Discount code + gift card combination (workaround available)

    RISK ASSESSMENT: LOW
    - All critical paths tested
    - Regression suite: 1,247 tests passing
    - Performance metrics within acceptable ranges
    */

    expect(releaseNotes).toContain('Test Coverage: 95%');
    expect(releaseNotes).toContain('RISK ASSESSMENT: LOW');
  });
});

from ai_documentation import TestCaseGenerator

def test_generate_cases_from_requirements():
    """AI converts user stories into test cases"""
    generator = TestCaseGenerator(model='gpt-4-test-generation')

    requirement = """
    As a user, I want to reset my password via email so that I can
    regain access to my account if I forget my password.

    Acceptance Criteria:
    - User clicks "Forgot Password" link
    - User enters email address
    - System sends reset link to email
    - Link expires after 24 hours
    - User sets new password
    - User can login with new password
    """

    test_cases = generator.generate_from_requirement(requirement)

    # AI generates comprehensive test suite
    assert len(test_cases) >= 8

    # Happy path test
    assert any(tc.name == 'test_password_reset_happy_path' for tc in test_cases)

    # Edge cases automatically identified
    edge_cases = [tc for tc in test_cases if tc.category == 'edge_case']
    assert any('invalid email format' in tc.description for tc in edge_cases)
    assert any('expired link' in tc.description for tc in edge_cases)
    assert any('already used link' in tc.description for tc in edge_cases)

    # Security test cases
    security_cases = [tc for tc in test_cases if tc.category == 'security']
    assert any('brute force' in tc.description for tc in security_cases)
    assert any('token hijacking' in tc.description for tc in security_cases)

    # Negative test cases
    negative_cases = [tc for tc in test_cases if tc.category == 'negative']
    assert any('non-existent email' in tc.description for tc in negative_cases)

    # Each test case has structured format
    sample_case = test_cases[0]
    assert sample_case.preconditions is not None
    assert len(sample_case.steps) > 0
    assert sample_case.expected_result is not None
    assert sample_case.priority in ['High', 'Medium', 'Low']

import { DocumentationSyncEngine } from 'ai-docs-sync';

describe('Documentation Synchronization', () => {
  const syncEngine = new DocumentationSyncEngine({
    docsPath: './docs/test-cases',
    appRepository: './src',
    screenshotDir: './screenshots'
  });

  it('detects and updates outdated documentation', async () => {
    // AI detects UI changes that affect documentation
    const changes = await syncEngine.detectOutdatedDocs();

    expect(changes).toContainEqual({
      document: 'checkout-flow-test-case.md',
      reason: 'Screenshot shows old UI (button moved)',
      confidence: 0.92,
      suggestedUpdate: {
        oldStep: 'Click "Buy Now" button in top right',
        newStep: 'Click "Buy Now" button in bottom right',
        newScreenshot: 'screenshots/updated/checkout-button.png'
      }
    });

    // AI can automatically update documentation
    const updated = await syncEngine.autoUpdate({
      document: 'checkout-flow-test-case.md',
      reviewRequired: true  // Flag for human review
    });

    expect(updated.changesMade).toBeGreaterThan(0);
    expect(updated.requiresReview).toBe(true);
  });
});

# AI generates draft, human reviews
draft_report = ai_generator.create_bug_report(screenshot)

# Flag for review if confidence is low
if draft_report.confidence < 0.85:
    draft_report.flag_for_review(
        reason="Low confidence on root cause analysis"
    )

# Fine-tune AI on your application's terminology
custom_analyzer = ScreenshotAnalyzer()
custom_analyzer.fine_tune(
    training_data='docs/annotated_screenshots/',
    domain_vocabulary='docs/app_terminology.json',
    epochs=10
)

# Track documentation changes alongside code
docs:
  version: 2.5.0
  generated: 2025-10-04
  ai_model: gpt-4-vision
  human_reviewed: true
  screenshots_hash: a3f5c89d

metrics = {
    'accuracy': 0.94,  # % of AI descriptions accurate
    'completeness': 0.89,  # % of required fields populated
    'time_saved': '12.5 hours/week',
    'review_rate': 0.15  # % requiring human correction
}