from datetime import datetime
from statistics import mean

class IncidentMetrics:
    def __init__(self, incidents: list[dict]):
        self.incidents = incidents

    @property
    def mttd_minutes(self) -> float:
        """Mean Time to Detect — from start to alert"""
        detections = [
            (i['alert_time'] - i['incident_start']).total_seconds() / 60
            for i in self.incidents
            if i['alert_time'] and i['incident_start']
        ]
        return mean(detections) if detections else 0

    @property
    def mttr_minutes(self) -> float:
        """Mean Time to Recover — from alert to resolution"""
        recoveries = [
            (i['resolved_time'] - i['alert_time']).total_seconds() / 60
            for i in self.incidents
            if i['resolved_time'] and i['alert_time']
        ]
        return mean(recoveries) if recoveries else 0

    @property
    def mtbf_days(self) -> float:
        """Mean Time Between Failures"""
        if len(self.incidents) < 2:
            return float('inf')

        gaps = [
            (self.incidents[i]['incident_start'] - self.incidents[i-1]['resolved_time']).days
            for i in range(1, len(self.incidents))
        ]
        return mean(gaps)

Incident Management — Postmortems, Blameless Culture

Incident Management — Postmortems, Blameless Culture

Incident Management — Postmortems, Blameless Culture