L10 Token Engine v4.3.8: Hardware Health Penalty Implementation#289
L10 Token Engine v4.3.8: Hardware Health Penalty Implementation#289dcplatforms wants to merge 1 commit into
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- Added `applyHardwarePenalty` logic to reduce rewards based on regional DER alarms. - Integrated hardware penalty into the reward calculation pipeline. - Enhanced audit logging in `token_reward_log` with hardware health metadata. - Subscribed to `DER_ALARM_REPORTED` Kafka topic for real-time safety awareness. - Updated telemetry scoring to enforce 4-decimal string formatting for L11 ML parity. - Synchronized platform documentation and service versions for v10.1.6 (June 2026). - Added comprehensive unit tests for penalty calculation and multiplier logic. Co-authored-by: dcplatforms <10982057+dcplatforms@users.noreply.github.com>
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This update implements the Hardware Health Penalty for the L10 Token Engine, a key component of the MiGrid Platform's "Hardware-Aware Resilience" strategy.
Key Changes:
applyHardwarePenaltywhich fetches regional alarm counts from Redis (l4:regional:alarms:<ISO>) and applies a reduction of 0.05 per alarm (capped at 0.30) to the reward multiplier.logRewardTransactionfunction and database interaction to storehardware_penaltyandregional_alarm_count, providing high-fidelity training data for the L11 ML Engine.DER_ALARM_REPORTEDKafka events, ensuring it stays synchronized with site-specific hardware alerts broadcasted by L7..toFixed(4)string formatting standard for all physics and confidence scores to ensure parity across the stack.PLATFORM_STATUS.mdto reflect the current v10.1.6 ecosystem state.Verification:
npm testinservices/10-token-engine, passing all 27 tests including the newhardware_penalty.test.js.PR created automatically by Jules for task 2304253384671795009 started by @dcplatforms