Add Analytics API service and Drush commands for AI integration#27
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Add Analytics API service and Drush commands for AI integration#27
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Implements RlAnalyzerInterface and RlAnalyzer service providing: - listExperiments() - All experiments with summary stats - getStatus() - Detailed experiment status with confidence levels - getPerformance() - Arm performance with human-readable labels - getTrends() - Historical trend analysis - export() - Full data export for deep analysis Drush commands (thin wrappers around service): - rl:list - List all experiments - rl:status - Experiment status - rl:performance - Arm performance with resolved entity labels - rl:trends - Historical trends - rl:analyze - Full analysis with recommendations - rl:export - Complete data export Key features: - Entity IDs resolved to human-readable labels (node titles, etc.) - Pre-computed insights (vs_average, confidence, trends) - JSON/YAML output formats for AI tool consumption - Service-based architecture for use by other modules
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Duplicate of #26 (base branch was changed to 1.x) |
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Summary
Adds a service-based analytics API (
rl.analyzer) that enables both Drush commands and other Drupal modules to access experiment performance data, insights, and recommendations.Architecture:
Features
Service API (
rl.analyzer)listExperiments()- All experiments with summary statsgetStatus($experimentId)- Detailed status with confidence levelsgetPerformance($experimentId, $limit)- Arm data with human-readable labelsgetTrends($experimentId, $period, $periods)- Historical analysisexport($experimentId, $includeSnapshots)- Full data exportDrush Commands
rl:list- List all experimentsrl:status <experiment>- Experiment statusrl:performance <experiment>- Arm performancerl:trends <experiment>- Historical trendsrl:analyze <experiment>- Full analysis with recommendationsrl:export <experiment>- Complete data exportKey Capabilities
Usage Examples
Test Plan
rl:listcommand with table and JSON outputrl:statuswith YAML outputrl:performancewith entity label resolutionrl:trendswith historical datarl:analyzewith recommendationsrl:exportwith and without snapshots