[AI-FSSDK] (DO NOT REVIEW) [FSSDK-12275] Skip unsupported experiment type during flag decision

[raju-opti]

Summary

Implements experiment type filtering in the feature experiment service to skip unsupported experiment types during flag decision evaluation.

Changes

• Experiment Struct: Added Type field to the Experiment struct in pkg/entities/experiment.go
• Supported Types: Defined supportedExperimentTypes map with values: a/b, mab, cmab, feature_rollouts
• Decision Logic: Updated FeatureExperimentService.GetDecision to:
  • Check experiment type before evaluation
  • Skip to next experiment if Type is non-empty but not in supported list
  • Evaluate normally if Type is empty (backward compatible) or is in supported list
• Testing: Added comprehensive unit tests covering:
  • Skipping experiments with unsupported types
  • Evaluating experiments with all supported types (a/b, mab)
  • Handling empty Type fields (backward compatibility)
  • Skipping unsupported and evaluating supported in sequence

Implementation Details

The feature experiment service now checks the experiment Type field during flag decision:

• If Type is empty string: Experiment is evaluated (backward compatible)
• If Type is in supported map: Experiment is evaluated
• If Type is non-empty but NOT in supported map: Experiment is skipped with debug log

This ensures the SDK can gracefully handle new experiment types introduced in the datafile without breaking existing functionality.

Test Plan

• ✅ All existing tests pass (no regression)
• ✅ New unit tests verify type filtering logic
• ✅ All new tests pass successfully
• ✅ Implementation matches JavaScript and Python SDK behavior

Related

• Jira: FSSDK-12275
• Related PRs: JavaScript SDK #1137, Python SDK #490

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