flakeradar 2.0.0

AI-Powered Test Flakiness Detection & Team Collaboration - Enterprise-grade analytics with cross-environment insights

🔍 FlakeRadar

AI-Powered Test Flakiness Detection & Team Collaboration

Transform raw test results into actionable insights with statistical confidence scoring, AI-powered root cause analysis, and team collaboration features.

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🚀 Quick Start

# Install and analyze
pip install flakeradar
flakeradar --project "MyApp" --results "test-results/*.xml"
open flakeradar_report.html

Python API:

from flakeradar import FlakeRadar

with FlakeRadar(project="MyApp") as radar:
    radar.add_results("test-results/*.xml")
    analysis = radar.analyze(confidence_threshold=0.7, enable_ai=True)
    radar.generate_html_report("report.html")

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🎯 Key Features

🔍 Smart Analysis

• Statistical Confidence Scoring - Wilson intervals eliminate false positives
• AI Root Cause Clustering - Groups failures by actual causes
• Time-to-Fix Tracking - Identifies chronic flaky tests

👥 Team Collaboration

• Central Dashboard - Shared analytics across environments
• Multi-Environment Tracking - Dev → Staging → Production insights
• CI/CD Integration - Jenkins, GitHub Actions, REST API

📊 Enterprise Ready

• Production-Tested Accuracy - Fixed confidence calculations
• Secure Token Authentication - Team collaboration with proper security
• Scalable Architecture - Supports teams of any size

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🔧 Team Setup

1. Start Team Dashboard

python -m flakeradar.dev_server
# Dashboard: http://localhost:8000/dashboard/your-team-id

2. Create Team Token

curl -X POST http://localhost:8000/api/v1/team/tokens \
  -d '{"team_name": "YourTeam", "environment": "production"}'

3. Jenkins Integration

environment {
    FLAKERADAR_TEAM_TOKEN = credentials('flakeradar-team-token')
}
post {
    always {
        sh '''
            pip install flakeradar
            flakeradar --project "${JOB_NAME}" \
                      --results "test-results/*.xml" \
                      --team-token "${FLAKERADAR_TEAM_TOKEN}" \
                      --environment "${ENV}"
        '''
    }
}

4. GitHub Actions

- name: FlakeRadar Analysis
  env:
    FLAKERADAR_TEAM_TOKEN: ${{ secrets.FLAKERADAR_TEAM_TOKEN }}
  run: |
    pip install flakeradar
    flakeradar --project "${{ github.repository }}" \
              --results "test-results/*.xml" \
              --team-token "$FLAKERADAR_TEAM_TOKEN" \
              --environment "ci"

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📖 CLI Reference

flakeradar [OPTIONS]

# Core Parameters
--project TEXT              Project name (required)
--results TEXT              Test files pattern (required, e.g., "*.xml")

# Team Collaboration
--team-token TEXT           Team token (flake_tk_...)
--dashboard-url TEXT        Dashboard URL
--environment TEXT          Environment (dev/staging/prod)

# Analysis Options  
--confidence-threshold FLOAT  Statistical threshold (0.0-1.0, default: 0.7)
--enable-ai / --no-ai        AI analysis (auto-detects API key)
--output TEXT               Report filename (default: flakeradar_report.html)

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🔧 Troubleshooting

Common Issues

❌ "Invalid token" error

# Verify token format
echo $FLAKERADAR_TEAM_TOKEN  # Should start with "flake_tk_"

# Test token
curl -X POST "$DASHBOARD_URL/api/v1/team/validate" \
  -H "Authorization: Bearer $FLAKERADAR_TEAM_TOKEN"

❌ Dashboard shows no data

# Check Jenkins console output for submission errors
# Verify environment variables are set correctly

❌ Analysis too slow

# Optimize for large test suites
flakeradar --limit-runs 20 --max-ai-analysis 5 --confidence-threshold 0.8

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📊 Sample Output

🚨 Flaky Test Analysis Results:
  📊 Total Tests: 245 | Flaky: 12 | High Confidence: 8
  
🔴 High Priority Flaky Tests:
  DatabaseTest#connectionPool (82% confidence, 14 days flaky)
  AuthTest#tokenRefresh (76% confidence, 7 days flaky)

🔍 Root Cause Analysis:
  🗄️ Database connectivity: 8 tests affected
  ⏱️ Timing issues: 4 tests affected
  
🤖 AI Insights: 12 tests analyzed
✅ Report generated: flakeradar_report.html

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🏢 Enterprise Features

• Mathematical Rigor - Wilson Score confidence intervals
• Production Accuracy - Fixed edge cases for 0%/100% failure rates
• Team Analytics - Cross-environment insights and contributor tracking
• Security - Token-based authentication with rotation support
• Integration - Jenkins, GitHub Actions, REST API, Python API
• Scalability - Supports individual developers to enterprise teams

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📚 Links

• GitHub Repository - Source code and issues
• Documentation - Detailed guides
• Support - Questions and bug reports

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Ready to eliminate flaky tests?

🚀 Get Started | 📖 Documentation | 💬 Support

Built by engineers who understand the pain of flaky tests