feat(mlops): Automated Model Retraining Pipeline#469
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Cedarich merged 2 commits intoPulsefy:mainfrom Mar 25, 2026
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- Add src/ml/model_registry.py: versioned model storage (v1.0, v1.1, ...) with atomic zero-downtime swap via POSIX symlink rename + in-memory RLock - Add src/ml/retraining_pipeline.py: orchestrates sentiment (VADER + crypto slang lexicon) and price predictor retraining with quality gates - Update src/scheduler.py: daily CronTrigger at 02:00 UTC for retraining job alongside existing hourly market analyzer - Update src/api/server.py: POST /retrain and GET /model/status endpoints - Update src/utils/metrics.py: MODEL_RETRAINING_TOTAL and MODEL_RETRAINING_DURATION Prometheus metrics - Add NestJS ModelRetrainingModule: service, scheduler (02:30 UTC fallback), and admin-only controller (POST /admin/models/retrain, GET /admin/models/status) - Register ModelRetrainingModule in AppModule
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Cedarich
approved these changes
Mar 25, 2026
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Summary
Implements the automated model retraining pipeline as described in issue #454.
Changes
Python (apps/data-processing)
NestJS (apps/backend)
Acceptance Criteria
Closes #454