def apply_time_decay(self): days_since_last_activity = self.get_inactivity_days() if days_since_last_activity > 14: return max(0.7, 1 - (days_since_last_activity - 14) * 0.01) return 1.0
new_score = min(100, max(0, raw_update)) # clamp 0–100 return round(new_score, 1) auto up skill sro
"user_id": 101, "skill_id": 5, "force_recalc": false def apply_time_decay(self): days_since_last_activity = self
from celery import shared_task @shared_task def batch_auto_upgrade_skill_sro(): active_users = get_users_with_recent_activity(days=7) for user in active_users: for skill in user.enrolled_skills: engine = AutoUpSkillSRO(user.id, skill.id) result = engine.trigger_auto_update() if result["updated"]: notify_user_if_needed(user, result) function AutoUpSkillWidget( userId, skillId ) const [currentScore, setCurrentScore] = useState(null); const [autoEnabled, setAutoEnabled] = useState(true); const triggerManualUpgrade = async () => const res = await fetch("/api/v1/sro/auto-upgrade", method: "POST", body: JSON.stringify( user_id: userId, skill_id: skillId, force_recalc: true ) ); const data = await res.json(); setCurrentScore(data.new_score); showToast( Score updated: $data.delta > 0 ? "+" : ""$data.delta ); ; 14: return max(0.7
def get_peer_percentile(self): # Compare with all users for same skill all_scores = get_all_sro_scores(self.skill_id) return percentile(all_scores, self.current_score)
Run daily at 02:00 :
"status": "success", "previous_score": 74.2, "new_score": 78.5, "delta": +4.3, "factors": "recent_performance": 82.0, "task_success_rate": 88.5, "peer_percentile": 65.0, "decay_applied": 0.98