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

[raju-opti]

Summary

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

Changes

• Experiment Interface: Added optional type field to the Experiment interface in shared_types.ts
• Supported Types: Defined SUPPORTED_EXPERIMENT_TYPES constant with values: a/b, mab, cmab, feature_rollouts
• Decision Logic: Updated traverseFeatureExperimentList in decision service to:
  • Check experiment type before evaluation
  • Skip to next experiment if type is defined but not in supported list
  • Evaluate normally if type is undefined/null or is in supported list
• Testing: Added comprehensive unit tests covering:
  • Skipping experiments with unsupported types
  • Evaluating experiments with all supported types
  • Handling undefined/null type fields
  • Logging behavior

Implementation Details

The decision service now checks the experiment type field during flag decision:

• If type is undefined or null: Experiment is evaluated (backward compatible)
• If type is in supported list: Experiment is evaluated
• If type is defined but NOT in supported list: 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
• ✅ New unit tests verify type filtering logic
• ✅ Build succeeds without TypeScript errors

Related

• Jira: FSSDK-12275

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[coveralls]

coverage: 77.684% (-0.05%) from 77.733%
when pulling a593b43 on ai/raju-opti/FSSDK-12275-experiment-type
into 5af7f3b on master.