[AI-FSSDK] (DO NOT REVIEW) [FSSDK-12275] Skip unsupported experiment type during flag decision#490
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[AI-FSSDK] (DO NOT REVIEW) [FSSDK-12275] Skip unsupported experiment type during flag decision#490
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… during flag decision - Add optional 'type' parameter to Experiment class in entities.py - Define SUPPORTED_EXPERIMENT_TYPES constant (a/b, mab, cmab, feature_rollouts) - Update get_decision_for_flag to skip experiments with unsupported types - Skip evaluation only if type is defined but not in supported list - Evaluate normally if type is None or is supported - Add unit tests for experiment type filtering scenarios Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Summary
Implements experiment type filtering in the decision service to skip unsupported experiment types during flag decision evaluation.
Changes
typeparameter to theExperimentclass inentities.pySUPPORTED_EXPERIMENT_TYPESconstant with values:a/b,mab,cmab,feature_rolloutsget_decision_for_flagin decision service to:Implementation Details
The decision service now checks the experiment
typefield during flag decision:typeis None: Experiment is evaluated (backward compatible)typeis in supported list: Experiment is evaluatedtypeis defined but NOT in supported list: Experiment is skipped with debug logThis ensures the SDK can gracefully handle new experiment types introduced in the datafile without breaking existing functionality.
Test Plan
Related
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