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package com.spice.profitmandi.dao.service;
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import org.hibernate.Session;
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import org.hibernate.SessionFactory;
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import org.hibernate.query.NativeQuery;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Service;
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import java.util.*;
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/**
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* Period analytics for the Beat Journey console — read-only native SQL, scoped to
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* the caller's downline via the auth-id / dtr-id sets. Reuses the same cross-schema
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* patterns as {@link RouteAnalyticsServiceImpl}, adding {@code IN (:ids)} scope
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* filters and a few extra blocks (utilization, outcomes, findings).
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*
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* Empty scope is handled by substituting a sentinel id (-1) so every {@code IN}
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* clause is valid and simply returns zeros rather than throwing.
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*/
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@Service
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public class BeatJourneyServiceImpl implements BeatJourneyService {
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@Autowired
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private SessionFactory sessionFactory;
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@Override
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public Map<String, Object> periodAnalytics(String start, String end, String today,
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List<Integer> authIds, List<Integer> dtrIds) {
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Session s = sessionFactory.getCurrentSession();
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List<Integer> auth = safeIds(authIds);
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List<Integer> dtr = safeIds(dtrIds);
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Map<String, Object> out = new LinkedHashMap<>();
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Map<String, Object> range = new LinkedHashMap<>();
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range.put("start", start);
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range.put("end", end);
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range.put("today", today);
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out.put("range", range);
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out.put("scopeCount", authIds == null ? 0 : authIds.size());
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List<Map<String, Object>> coverage = coverageByLevel(s, start, end, auth);
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Map<String, Object> funnel = funnel(s, start, end, auth, dtr);
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Map<String, Object> deferral = deferral(s, start, end, auth);
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Map<String, Object> utilization = utilization(s, start, end, dtr);
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Map<String, Object> travel = travel(s, start, end, auth, dtr);
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Map<String, Object> outcomes = outcomes(s, start, end, auth);
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List<Map<String, Object>> scorecard = scorecard(s, start, end, auth, dtr);
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Map<String, Object> kpis = kpis(s, start, end, auth, dtr, coverage, funnel, deferral);
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out.put("kpis", kpis);
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out.put("funnel", funnel);
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out.put("coverageByLevel", coverage);
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out.put("scorecard", scorecard);
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out.put("utilization", utilization);
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out.put("deferral", deferral);
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out.put("travel", travel);
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out.put("outcomes", outcomes);
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out.put("findings", findings(kpis, funnel, deferral, utilization, travel, outcomes, coverage, scorecard));
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return out;
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}
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// ---- KPIs ---------------------------------------------------------------
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private Map<String, Object> kpis(Session s, String ms, String me, List<Integer> auth, List<Integer> dtr,
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List<Map<String, Object>> coverage, Map<String, Object> funnel, Map<String, Object> deferral) {
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Map<String, Object> m = new LinkedHashMap<>();
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long planned = asLong(funnel.get("plannedStops"));
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long done = asLong(funnel.get("checkedOut"));
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m.put("plannedStops", planned);
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m.put("doneStops", done);
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m.put("adherencePct", planned == 0 ? 0 : Math.round(100.0 * done / planned));
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// L1 coverage row
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long l1With = 0, l1Total = 0;
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for (Map<String, Object> c : coverage) {
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if ("L1".equalsIgnoreCase(asStr(c.get("level")))) {
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l1With = asLong(c.get("withPjp"));
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l1Total = asLong(c.get("totalUsers"));
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}
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}
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m.put("coverageL1With", l1With);
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m.put("coverageL1Total", l1Total);
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m.put("coverageL1Pct", l1Total == 0 ? 0 : Math.round(100.0 * l1With / l1Total));
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// avg visits / active (punched-in) day, and total punch-in days (journeys)
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NativeQuery<?> q = s.createNativeQuery(
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"SELECT COUNT(DISTINCT CONCAT(user_id,'-',task_date)) FROM auth.location_tracking" +
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" WHERE task_date>=:ms AND task_date<=:me AND mark_type='PUNCHIN' AND user_id IN (:dtr)");
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q.setParameter("ms", ms).setParameter("me", me).setParameterList("dtr", dtr);
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long journeys = asLong(q.uniqueResult());
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m.put("journeys", journeys);
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m.put("avgVisitsPerActiveDay", journeys == 0 ? 0 : round1((double) asLong(funnel.get("checkedIn")) / journeys));
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// avg in-store discussion minutes
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NativeQuery<?> dq = s.createNativeQuery(
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"SELECT ROUND(AVG(NULLIF(TIME_TO_SEC(time_spent),0))/60,0) FROM auth.location_tracking" +
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" WHERE task_date>=:ms AND task_date<=:me AND task_type='franchisee-visit' AND mark_type LIKE '%CHECKOUT%' AND user_id IN (:dtr)");
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dq.setParameter("ms", ms).setParameter("me", me).setParameterList("dtr", dtr);
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m.put("avgDiscussionMin", asLong(dq.uniqueResult()));
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m.put("autoMissed", asLong(deferral.get("total")));
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m.put("autoMissedSystemPct", asLong(deferral.get("systemPct")));
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// leads created on route
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NativeQuery<?> lq = s.createNativeQuery(
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"SELECT COUNT(*) FROM `user`.lead WHERE created_timestamp>=:ms AND created_timestamp<=CONCAT(:me,' 23:59:59') AND auth_id IN (:auth)");
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lq.setParameter("ms", ms).setParameter("me", me).setParameterList("auth", auth);
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m.put("leadsCreated", asLong(lq.uniqueResult()));
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return m;
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}
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// ---- Funnel -------------------------------------------------------------
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private Map<String, Object> funnel(Session s, String ms, String me, List<Integer> auth, List<Integer> dtr) {
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Map<String, Object> m = new LinkedHashMap<>();
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// planned stops = scheduled beat-days × their routed stops
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NativeQuery<?> pq = s.createNativeQuery(
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"SELECT COUNT(*) FROM `user`.beat_schedule sc" +
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" JOIN `user`.beat b ON b.id=sc.beat_id AND b.auth_user_id IN (:auth)" +
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" JOIN `user`.beat_route r ON r.beat_id=sc.beat_id AND r.day_number=sc.day_number AND r.active=1" +
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" WHERE sc.start_date>=:ms AND sc.start_date<=:me");
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pq.setParameter("ms", ms).setParameter("me", me).setParameterList("auth", auth);
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long planned = asLong(pq.uniqueResult());
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// planned stops that fall on a day the owner actually punched in
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NativeQuery<?> piq = s.createNativeQuery(
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"SELECT COUNT(*) FROM `user`.beat_schedule sc" +
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" JOIN `user`.beat b ON b.id=sc.beat_id AND b.auth_user_id IN (:auth)" +
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" JOIN `user`.beat_route r ON r.beat_id=sc.beat_id AND r.day_number=sc.day_number AND r.active=1" +
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" JOIN auth.auth_user au ON au.id=b.auth_user_id" +
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" JOIN dtr.users du ON du.email=au.email_id" +
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" JOIN (SELECT DISTINCT user_id, task_date FROM auth.location_tracking" +
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" WHERE task_date>=:ms AND task_date<=:me AND mark_type='PUNCHIN' AND user_id IN (:dtr)) p" +
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" ON p.user_id=du.id AND p.task_date=sc.start_date" +
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" WHERE sc.start_date>=:ms AND sc.start_date<=:me");
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piq.setParameter("ms", ms).setParameter("me", me).setParameterList("auth", auth).setParameterList("dtr", dtr);
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long punchedIn = asLong(piq.uniqueResult());
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long checkedIn = countVisits(s, ms, me, dtr, "mark_type LIKE 'CHECKIN%'");
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long checkedOut = countVisits(s, ms, me, dtr, "(mark_type LIKE '%CHECKOUT%')");
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m.put("plannedStops", planned);
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m.put("punchedIn", punchedIn);
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m.put("checkedIn", checkedIn);
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m.put("checkedOut", checkedOut);
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m.put("dropPunch", planned == 0 ? 0 : Math.round(100.0 * (planned - punchedIn) / planned));
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m.put("dropCheckin", punchedIn == 0 ? 0 : Math.round(100.0 * (punchedIn - checkedIn) / punchedIn));
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m.put("dropCheckout", checkedIn == 0 ? 0 : Math.round(100.0 * (checkedIn - checkedOut) / checkedIn));
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return m;
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}
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private long countVisits(Session s, String ms, String me, List<Integer> dtr, String markPredicate) {
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NativeQuery<?> q = s.createNativeQuery(
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"SELECT COUNT(*) FROM auth.location_tracking" +
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" WHERE task_date>=:ms AND task_date<=:me AND task_type='franchisee-visit' AND " + markPredicate +
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" AND user_id IN (:dtr)");
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q.setParameter("ms", ms).setParameter("me", me).setParameterList("dtr", dtr);
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return asLong(q.uniqueResult());
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}
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// ---- Coverage by level --------------------------------------------------
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private List<Map<String, Object>> coverageByLevel(Session s, String ms, String me, List<Integer> auth) {
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NativeQuery<?> q = s.createNativeQuery(
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"SELECT p.escalation_type lvl, COUNT(DISTINCT p.auth_user_id) total_users," +
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" COUNT(DISTINCT CASE WHEN sc.id IS NOT NULL THEN p.auth_user_id END) with_pjp" +
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" FROM cs.position p" +
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" LEFT JOIN `user`.beat b ON b.auth_user_id=p.auth_user_id AND b.active=1" +
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" LEFT JOIN `user`.beat_schedule sc ON sc.beat_id=b.id AND sc.start_date>=:ms AND sc.start_date<=:me" +
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" WHERE p.category_id=4 AND p.auth_user_id IN (:auth) GROUP BY p.escalation_type ORDER BY p.escalation_type");
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q.setParameter("ms", ms).setParameter("me", me).setParameterList("auth", auth);
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List<Map<String, Object>> list = new ArrayList<>();
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for (Object o : q.getResultList()) {
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Object[] r = (Object[]) o;
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long total = asLong(r[1]), with = asLong(r[2]);
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Map<String, Object> m = new LinkedHashMap<>();
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m.put("level", asStr(r[0]));
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m.put("totalUsers", total);
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m.put("withPjp", with);
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m.put("coveragePct", total == 0 ? 0 : Math.round(100.0 * with / total));
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list.add(m);
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}
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return list;
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}
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// ---- Per-executive scorecard -------------------------------------------
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private List<Map<String, Object>> scorecard(Session s, String ms, String me, List<Integer> auth, List<Integer> dtr) {
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NativeQuery<?> q = s.createNativeQuery(
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"SELECT au.id uid, TRIM(CONCAT(au.first_name,' ',COALESCE(au.last_name,''))) nm, lvl.lvl," +
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" COALESCE(pl.planned,0) planned, COALESCE(ac.done,0) done," +
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" COALESCE(ds.disc_min,0) disc_min, COALESCE(wk.work_sec,0) work_sec," +
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" COALESCE(ld.leads,0) leads, du.id duid" +
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" FROM (SELECT DISTINCT auth_user_id FROM `user`.beat WHERE active=1 AND auth_user_id IN (:auth)) o" +
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" JOIN auth.auth_user au ON au.id=o.auth_user_id" +
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" LEFT JOIN dtr.users du ON du.email=au.email_id" +
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" LEFT JOIN (SELECT auth_user_id, MIN(escalation_type) lvl FROM cs.position WHERE category_id=4 GROUP BY auth_user_id) lvl ON lvl.auth_user_id=au.id" +
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" LEFT JOIN (SELECT b.auth_user_id uid, COUNT(*) planned FROM `user`.beat_schedule sc" +
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" JOIN `user`.beat b ON b.id=sc.beat_id JOIN `user`.beat_route r ON r.beat_id=sc.beat_id AND r.day_number=sc.day_number AND r.active=1" +
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" WHERE sc.start_date>=:ms AND sc.start_date<=:me GROUP BY b.auth_user_id) pl ON pl.uid=au.id" +
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" LEFT JOIN (SELECT user_id uid, COUNT(*) done FROM auth.location_tracking" +
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" WHERE task_date>=:ms AND task_date<=:me AND task_type='franchisee-visit' AND mark_type LIKE 'CHECKIN%' GROUP BY user_id) ac ON ac.uid=du.id" +
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" LEFT JOIN (SELECT user_id uid, ROUND(AVG(NULLIF(TIME_TO_SEC(time_spent),0))/60,0) disc_min FROM auth.location_tracking" +
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" WHERE task_date>=:ms AND task_date<=:me AND task_type='franchisee-visit' AND mark_type LIKE '%CHECKOUT%' GROUP BY user_id) ds ON ds.uid=du.id" +
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" LEFT JOIN (SELECT user_id uid, SUM(GREATEST(TIME_TO_SEC(check_out_time)-TIME_TO_SEC(check_in_time),0)) work_sec FROM auth.location_tracking" +
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" WHERE task_date>=:ms AND task_date<=:me AND task_id=0 AND check_out_time IS NOT NULL AND check_out_time<>'00:00:00' AND check_in_time IS NOT NULL AND check_in_time<>'00:00:00' GROUP BY user_id) wk ON wk.uid=du.id" +
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" LEFT JOIN (SELECT auth_id uid, COUNT(*) leads FROM `user`.lead WHERE created_timestamp>=:ms AND created_timestamp<=CONCAT(:me,' 23:59:59') GROUP BY auth_id) ld ON ld.uid=au.id" +
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" ORDER BY done DESC, planned DESC");
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q.setParameter("ms", ms).setParameter("me", me).setParameterList("auth", auth);
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// Geofence-offsite check-ins per user are computed in Java (not SQL): the
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// coords are stored as "lat,lng" strings, and the inline parsing/haversine
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// expression trips Hibernate's native-query parameter parser.
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Map<Integer, Integer> geoByUser = geoOffsiteByUser(s, ms, me, dtr);
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List<Map<String, Object>> list = new ArrayList<>();
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for (Object o : q.getResultList()) {
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Object[] r = (Object[]) o;
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long planned = asLong(r[3]), done = asLong(r[4]);
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Map<String, Object> m = new LinkedHashMap<>();
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m.put("name", asStr(r[1]));
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m.put("level", r[2] == null ? "-" : asStr(r[2]));
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m.put("planned", planned);
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m.put("done", done);
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m.put("adherencePct", planned == 0 ? 0 : Math.round(100.0 * done / planned));
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m.put("discussionMin", asLong(r[5]));
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m.put("workingHrs", round1(asDouble(r[6]) / 3600.0));
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m.put("leads", asLong(r[7]));
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Integer duid = (r[8] == null) ? null : ((Number) r[8]).intValue();
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m.put("geoFlags", duid == null ? 0 : geoByUser.getOrDefault(duid, 0));
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list.add(m);
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}
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return list;
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}
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// Per dtr-user count of check-ins recorded >50 m from the partner's saved
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// location. Pulls the raw "lat,lng" strings and does the haversine in Java.
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private Map<Integer, Integer> geoOffsiteByUser(Session s, String ms, String me, List<Integer> dtr) {
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NativeQuery<?> q = s.createNativeQuery(
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"SELECT user_id, checkin_lat_lng, visit_location FROM auth.location_tracking" +
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" WHERE task_date>=:ms AND task_date<=:me AND task_type='franchisee-visit' AND mark_type LIKE 'CHECKIN%'" +
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" AND checkin_lat_lng LIKE '%,%' AND visit_location LIKE '%,%' AND user_id IN (:dtr)");
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q.setParameter("ms", ms).setParameter("me", me).setParameterList("dtr", dtr);
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Map<Integer, Integer> out = new HashMap<>();
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for (Object o : q.getResultList()) {
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Object[] r = (Object[]) o;
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if (r[0] == null) continue;
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double[] cin = parseLatLng(asStr(r[1]));
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double[] vis = parseLatLng(asStr(r[2]));
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if (cin == null || vis == null) continue;
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if (haversineMeters(cin[0], cin[1], vis[0], vis[1]) > 50.0) {
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int uid = ((Number) r[0]).intValue();
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out.merge(uid, 1, Integer::sum);
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}
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}
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return out;
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}
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private static double[] parseLatLng(String s) {
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if (s == null || !s.contains(",")) return null;
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String[] parts = s.split(",");
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if (parts.length != 2) return null;
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try {
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|
266 |
double a = Double.parseDouble(parts[0].trim());
|
|
|
267 |
double b = Double.parseDouble(parts[1].trim());
|
|
|
268 |
if (a == 0 && b == 0) return null;
|
|
|
269 |
return new double[]{a, b};
|
|
|
270 |
} catch (NumberFormatException e) {
|
|
|
271 |
return null;
|
|
|
272 |
}
|
|
|
273 |
}
|
|
|
274 |
|
|
|
275 |
private static double haversineMeters(double lat1, double lng1, double lat2, double lng2) {
|
|
|
276 |
double R = 6371000d;
|
|
|
277 |
double dLat = Math.toRadians(lat2 - lat1);
|
|
|
278 |
double dLng = Math.toRadians(lng2 - lng1);
|
|
|
279 |
double a = Math.sin(dLat / 2) * Math.sin(dLat / 2)
|
|
|
280 |
+ Math.cos(Math.toRadians(lat1)) * Math.cos(Math.toRadians(lat2))
|
|
|
281 |
* Math.sin(dLng / 2) * Math.sin(dLng / 2);
|
|
|
282 |
return 2 * R * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));
|
|
|
283 |
}
|
|
|
284 |
|
|
|
285 |
// ---- Working-hour utilization ------------------------------------------
|
|
|
286 |
|
|
|
287 |
private Map<String, Object> utilization(Session s, String ms, String me, List<Integer> dtr) {
|
|
|
288 |
NativeQuery<?> q = s.createNativeQuery(
|
|
|
289 |
"SELECT" +
|
|
|
290 |
" (SELECT COALESCE(SUM(TIME_TO_SEC(time_spent)),0) FROM auth.location_tracking WHERE task_date>=:ms AND task_date<=:me AND task_type='franchisee-visit' AND user_id IN (:dtr)) instore," +
|
|
|
291 |
" (SELECT COALESCE(SUM(TIME_TO_SEC(transit_time)),0) FROM auth.location_tracking WHERE task_date>=:ms AND task_date<=:me AND task_type='franchisee-visit' AND user_id IN (:dtr)) travel," +
|
|
|
292 |
" (SELECT COALESCE(SUM(GREATEST(TIME_TO_SEC(check_out_time)-TIME_TO_SEC(check_in_time),0)),0) FROM auth.location_tracking WHERE task_date>=:ms AND task_date<=:me AND task_id=0 AND check_out_time IS NOT NULL AND check_out_time<>'00:00:00' AND check_in_time IS NOT NULL AND check_in_time<>'00:00:00' AND user_id IN (:dtr)) working");
|
|
|
293 |
q.setParameter("ms", ms).setParameter("me", me).setParameterList("dtr", dtr);
|
|
|
294 |
Object[] r = (Object[]) q.uniqueResult();
|
|
|
295 |
double instore = asDouble(r[0]), travel = asDouble(r[1]), working = asDouble(r[2]);
|
|
|
296 |
if (working < instore + travel) working = instore + travel; // guard: working must cover its parts
|
|
|
297 |
double idle = Math.max(working - instore - travel, 0);
|
|
|
298 |
Map<String, Object> m = new LinkedHashMap<>();
|
|
|
299 |
m.put("inStoreHrs", round1(instore / 3600.0));
|
|
|
300 |
m.put("travelHrs", round1(travel / 3600.0));
|
|
|
301 |
m.put("idleHrs", round1(idle / 3600.0));
|
|
|
302 |
m.put("workingHrs", round1(working / 3600.0));
|
|
|
303 |
m.put("inStorePct", working == 0 ? 0 : (int) Math.round(100.0 * instore / working));
|
|
|
304 |
m.put("travelPct", working == 0 ? 0 : (int) Math.round(100.0 * travel / working));
|
|
|
305 |
m.put("idlePct", working == 0 ? 0 : (int) Math.round(100.0 * idle / working));
|
|
|
306 |
return m;
|
|
|
307 |
}
|
|
|
308 |
|
|
|
309 |
// ---- Deferrals & SLA ----------------------------------------------------
|
|
|
310 |
|
|
|
311 |
private Map<String, Object> deferral(Session s, String ms, String me, List<Integer> auth) {
|
|
|
312 |
NativeQuery<?> q = s.createNativeQuery(
|
|
|
313 |
"SELECT COUNT(*) total," +
|
|
|
314 |
" SUM(status='RESCHEDULED') rescheduled, SUM(status='CANCELLED') cancelled," +
|
|
|
315 |
" SUM(action_by IS NOT NULL) actioned," +
|
|
|
316 |
" SUM(reason LIKE 'Beat missed%' OR reason LIKE 'Not marked%') system_gen," +
|
|
|
317 |
" ROUND(AVG(CASE WHEN action_by IS NOT NULL THEN TIMESTAMPDIFF(HOUR, created_timestamp, updated_timestamp)/24.0 END),1) avg_days" +
|
|
|
318 |
" FROM `user`.beat_deferred_visit WHERE deferred_date>=:ms AND deferred_date<=:me AND auth_user_id IN (:auth)");
|
|
|
319 |
q.setParameter("ms", ms).setParameter("me", me).setParameterList("auth", auth);
|
|
|
320 |
Object[] r = (Object[]) q.uniqueResult();
|
|
|
321 |
long total = asLong(r[0]), system = asLong(r[4]);
|
|
|
322 |
long human = total - system;
|
|
|
323 |
Map<String, Object> m = new LinkedHashMap<>();
|
|
|
324 |
m.put("total", total);
|
|
|
325 |
m.put("rescheduled", asLong(r[1]));
|
|
|
326 |
m.put("cancelled", asLong(r[2]));
|
|
|
327 |
m.put("actioned", asLong(r[3]));
|
|
|
328 |
m.put("systemGenerated", system);
|
|
|
329 |
m.put("human", human);
|
|
|
330 |
m.put("avgDaysToAction", asDouble(r[5]));
|
|
|
331 |
m.put("systemPct", total == 0 ? 0 : Math.round(100.0 * system / total));
|
|
|
332 |
m.put("humanPct", total == 0 ? 0 : Math.round(100.0 * human / total));
|
|
|
333 |
return m;
|
|
|
334 |
}
|
|
|
335 |
|
|
|
336 |
// ---- Travel & route quality --------------------------------------------
|
|
|
337 |
|
|
|
338 |
private Map<String, Object> travel(Session s, String ms, String me, List<Integer> auth, List<Integer> dtr) {
|
|
|
339 |
Map<String, Object> m = new LinkedHashMap<>();
|
|
|
340 |
|
|
|
341 |
String legFrom =
|
|
|
342 |
" FROM `user`.beat_route a" +
|
|
|
343 |
" JOIN `user`.beat bt ON bt.id=a.beat_id AND bt.auth_user_id IN (:auth)" +
|
|
|
344 |
" JOIN `user`.beat_route b ON b.beat_id=a.beat_id AND b.day_number=a.day_number AND b.sequence_order=a.sequence_order+1 AND b.active=1" +
|
|
|
345 |
" JOIN (SELECT id, CAST(latitude AS DECIMAL(10,7)) lat, CAST(longitude AS DECIMAL(10,7)) lng FROM fofo.fofo_store WHERE latitude REGEXP '^[0-9.]+$') al ON al.id=a.fofo_id" +
|
|
|
346 |
" JOIN (SELECT id, CAST(latitude AS DECIMAL(10,7)) lat, CAST(longitude AS DECIMAL(10,7)) lng FROM fofo.fofo_store WHERE latitude REGEXP '^[0-9.]+$') bl ON bl.id=b.fofo_id" +
|
|
|
347 |
" WHERE a.active=1";
|
|
|
348 |
String legKm =
|
|
|
349 |
"6371*2*ASIN(SQRT(POWER(SIN(RADIANS(bl.lat-al.lat)/2),2)+COS(RADIANS(al.lat))*COS(RADIANS(bl.lat))*POWER(SIN(RADIANS(bl.lng-al.lng)/2),2)))";
|
|
|
350 |
|
|
|
351 |
NativeQuery<?> bq = s.createNativeQuery(
|
|
|
352 |
"SELECT bucket, COUNT(*) n FROM (" +
|
|
|
353 |
" SELECT CASE WHEN km<2 THEN '0-2 km' WHEN km<5 THEN '2-5 km' WHEN km<15 THEN '5-15 km'" +
|
|
|
354 |
" WHEN km<50 THEN '15-50 km' ELSE '50 km+' END bucket," +
|
|
|
355 |
" CASE WHEN km<2 THEN 1 WHEN km<5 THEN 2 WHEN km<15 THEN 3 WHEN km<50 THEN 4 ELSE 5 END ord" +
|
|
|
356 |
" FROM (SELECT " + legKm + " km" + legFrom + ") l" +
|
|
|
357 |
" ) z GROUP BY bucket, ord ORDER BY ord");
|
|
|
358 |
bq.setParameterList("auth", auth);
|
|
|
359 |
List<Map<String, Object>> buckets = new ArrayList<>();
|
|
|
360 |
for (Object o : bq.getResultList()) {
|
|
|
361 |
Object[] r = (Object[]) o;
|
|
|
362 |
Map<String, Object> b = new LinkedHashMap<>();
|
|
|
363 |
b.put("bucket", asStr(r[0]));
|
|
|
364 |
b.put("count", asLong(r[1]));
|
|
|
365 |
buckets.add(b);
|
|
|
366 |
}
|
|
|
367 |
m.put("legBuckets", buckets);
|
|
|
368 |
|
|
|
369 |
NativeQuery<?> sq = s.createNativeQuery(
|
|
|
370 |
"SELECT ROUND(AVG(km),1) avg_leg, ROUND(MAX(km),0) max_leg, SUM(km>15) over15, COUNT(*) total" +
|
|
|
371 |
" FROM (SELECT " + legKm + " km" + legFrom + ") l");
|
|
|
372 |
sq.setParameterList("auth", auth);
|
|
|
373 |
Object[] sr = (Object[]) sq.uniqueResult();
|
|
|
374 |
long totalLegs = asLong(sr[3]), over15 = asLong(sr[2]);
|
|
|
375 |
m.put("avgLegKm", asDouble(sr[0]));
|
|
|
376 |
m.put("maxLegKm", asDouble(sr[1]));
|
|
|
377 |
m.put("pctOver15", totalLegs == 0 ? 0 : Math.round(100.0 * over15 / totalLegs));
|
|
|
378 |
|
|
|
379 |
NativeQuery<?> tq = s.createNativeQuery(
|
|
|
380 |
"SELECT ROUND(SUM(TIME_TO_SEC(transit_time))/3600,1) transit_hrs, ROUND(SUM(TIME_TO_SEC(estimated_time))/3600,1) est_hrs" +
|
|
|
381 |
" FROM auth.location_tracking WHERE task_date>=:ms AND task_date<=:me AND task_type='franchisee-visit' AND user_id IN (:dtr)");
|
|
|
382 |
tq.setParameter("ms", ms).setParameter("me", me).setParameterList("dtr", dtr);
|
|
|
383 |
Object[] tr = (Object[]) tq.uniqueResult();
|
|
|
384 |
double transit = asDouble(tr[0]), est = asDouble(tr[1]);
|
|
|
385 |
m.put("actualVsEstimateRatio", est == 0 ? 0 : round1(transit / est));
|
|
|
386 |
return m;
|
|
|
387 |
}
|
|
|
388 |
|
|
|
389 |
// ---- Outcomes & visit quality ------------------------------------------
|
|
|
390 |
|
|
|
391 |
private Map<String, Object> outcomes(Session s, String ms, String me, List<Integer> auth) {
|
|
|
392 |
NativeQuery<?> q = s.createNativeQuery(
|
|
|
393 |
"SELECT COUNT(*) total," +
|
|
|
394 |
" SUM(partner_remark IS NOT NULL AND TRIM(partner_remark)<>'') remark," +
|
|
|
395 |
" ROUND(AVG(NULLIF(rbm_rating,0)),1) avg_rating," +
|
|
|
396 |
" SUM(instore_visibility IS NOT NULL AND TRIM(instore_visibility)<>'') audit," +
|
|
|
397 |
" SUM(franchise_activity_id>0) nextv" +
|
|
|
398 |
" FROM `user`.my_franchisee_visit" +
|
|
|
399 |
" WHERE auth_id IN (:auth) AND COALESCE(visit_timestamp, created_timestamp)>=:ms" +
|
|
|
400 |
" AND COALESCE(visit_timestamp, created_timestamp)<=CONCAT(:me,' 23:59:59')");
|
|
|
401 |
q.setParameter("ms", ms).setParameter("me", me).setParameterList("auth", auth);
|
|
|
402 |
Object[] r = (Object[]) q.uniqueResult();
|
|
|
403 |
long total = asLong(r[0]);
|
|
|
404 |
Map<String, Object> m = new LinkedHashMap<>();
|
|
|
405 |
m.put("completedVisits", total);
|
|
|
406 |
m.put("remarkFilledPct", total == 0 ? 0 : Math.round(100.0 * asLong(r[1]) / total));
|
|
|
407 |
m.put("avgRating", asDouble(r[2]));
|
|
|
408 |
m.put("auditDonePct", total == 0 ? 0 : Math.round(100.0 * asLong(r[3]) / total));
|
|
|
409 |
m.put("nextVisitPct", total == 0 ? 0 : Math.round(100.0 * asLong(r[4]) / total));
|
|
|
410 |
return m;
|
|
|
411 |
}
|
|
|
412 |
|
|
|
413 |
// ---- "What to fix" findings (computed in Java) --------------------------
|
|
|
414 |
|
|
|
415 |
private List<Map<String, Object>> findings(Map<String, Object> kpis, Map<String, Object> funnel,
|
|
|
416 |
Map<String, Object> deferral, Map<String, Object> util,
|
|
|
417 |
Map<String, Object> travel, Map<String, Object> outcomes,
|
|
|
418 |
List<Map<String, Object>> coverage, List<Map<String, Object>> scorecard) {
|
|
|
419 |
List<Map<String, Object>> f = new ArrayList<>();
|
|
|
420 |
|
|
|
421 |
long avgDisc = asLong(kpis.get("avgDiscussionMin"));
|
|
|
422 |
long rushed = scorecard.stream().filter(r -> asLong(r.get("discussionMin")) > 0 && asLong(r.get("discussionMin")) < 10).count();
|
|
|
423 |
if (avgDisc > 0 && (avgDisc < 30 || rushed > 0)) {
|
|
|
424 |
f.add(finding("high", "Rushed partner visits",
|
|
|
425 |
"Avg discussion is " + avgDisc + " min vs a 30–45 min target" + (rushed > 0 ? ", and " + rushed + " executive(s) average under 10 min" : "") + " — too short for a real outlet conversation.",
|
|
|
426 |
"Set a minimum on-store time and review visit quality."));
|
|
|
427 |
}
|
|
|
428 |
|
|
|
429 |
long geo = scorecard.stream().mapToLong(r -> asLong(r.get("geoFlags"))).sum();
|
|
|
430 |
if (geo > 0) {
|
|
|
431 |
f.add(finding("high", "Fake-visit risk",
|
|
|
432 |
geo + " check-in(s) were >50 m from the store (check-in GPS vs the partner's saved location).",
|
|
|
433 |
"Enforce geofenced check-in and flag these journeys for audit."));
|
|
|
434 |
}
|
|
|
435 |
|
|
|
436 |
for (Map<String, Object> c : coverage) {
|
|
|
437 |
if ("L1".equalsIgnoreCase(asStr(c.get("level")))) {
|
|
|
438 |
long total = asLong(c.get("totalUsers")), with = asLong(c.get("withPjp"));
|
|
|
439 |
if (total - with > 0) {
|
|
|
440 |
f.add(finding("med", "Coverage gap",
|
|
|
441 |
(total - with) + " of " + total + " L1 executives have no monthly PJP — they run no planned beat this period.",
|
|
|
442 |
"Make a monthly PJP mandatory and approved before month start."));
|
|
|
443 |
}
|
|
|
444 |
}
|
|
|
445 |
}
|
|
|
446 |
|
|
|
447 |
long sysPct = asLong(deferral.get("systemPct"));
|
|
|
448 |
double sla = asDouble(deferral.get("avgDaysToAction"));
|
|
|
449 |
if (asLong(deferral.get("total")) > 0 && (sysPct >= 50 || sla >= 2)) {
|
|
|
450 |
f.add(finding("med", "Deferral leakage",
|
|
|
451 |
sysPct + "% of deferrals are system auto-flags" + (sla > 0 ? ", and genuine deferrals sit " + sla + " days before a head acts" : "") + ".",
|
|
|
452 |
"Require a reason on real deferrals and add a manager-action SLA."));
|
|
|
453 |
}
|
|
|
454 |
|
|
|
455 |
long idlePct = asLong(util.get("idlePct"));
|
|
|
456 |
if (idlePct >= 20) {
|
|
|
457 |
f.add(finding("med", "A large part of the day is idle",
|
|
|
458 |
idlePct + "% of the working day (" + util.get("idleHrs") + " h) is neither travel nor in-store.",
|
|
|
459 |
"Investigate idle windows; tighten beat sequencing to cut dead time."));
|
|
|
460 |
}
|
|
|
461 |
|
|
|
462 |
long over15 = asLong(travel.get("pctOver15"));
|
|
|
463 |
if (over15 >= 15) {
|
|
|
464 |
f.add(finding("med", "Route inefficiency",
|
|
|
465 |
over15 + "% of legs exceed 15 km — consecutive stops aren't geographically clustered.",
|
|
|
466 |
"Re-sequence beats by proximity and cap daily travel."));
|
|
|
467 |
}
|
|
|
468 |
|
|
|
469 |
long journeys = asLong(kpis.get("journeys")), leads = asLong(kpis.get("leadsCreated"));
|
|
|
470 |
if (journeys > 0 && leads < journeys * 0.25) {
|
|
|
471 |
f.add(finding("low", "Lead capture is low",
|
|
|
472 |
"Only " + leads + " leads across " + journeys + " journeys — executives aren't logging the new shops they pass.",
|
|
|
473 |
"Add a per-beat lead nudge; recognise top loggers."));
|
|
|
474 |
}
|
|
|
475 |
return f;
|
|
|
476 |
}
|
|
|
477 |
|
|
|
478 |
private static Map<String, Object> finding(String sev, String title, String detail, String action) {
|
|
|
479 |
Map<String, Object> m = new LinkedHashMap<>();
|
|
|
480 |
m.put("severity", sev);
|
|
|
481 |
m.put("title", title);
|
|
|
482 |
m.put("detail", detail);
|
|
|
483 |
m.put("action", action);
|
|
|
484 |
return m;
|
|
|
485 |
}
|
|
|
486 |
|
|
|
487 |
// ---- helpers ------------------------------------------------------------
|
|
|
488 |
|
|
|
489 |
private static List<Integer> safeIds(List<Integer> ids) {
|
|
|
490 |
if (ids == null || ids.isEmpty()) return Collections.singletonList(-1);
|
|
|
491 |
return ids;
|
|
|
492 |
}
|
|
|
493 |
|
|
|
494 |
private static long asLong(Object o) {
|
|
|
495 |
return o == null ? 0L : ((Number) o).longValue();
|
|
|
496 |
}
|
|
|
497 |
|
|
|
498 |
private static double asDouble(Object o) {
|
|
|
499 |
return o == null ? 0.0 : ((Number) o).doubleValue();
|
|
|
500 |
}
|
|
|
501 |
|
|
|
502 |
private static String asStr(Object o) {
|
|
|
503 |
return o == null ? "" : o.toString();
|
|
|
504 |
}
|
|
|
505 |
|
|
|
506 |
private static double round1(double v) {
|
|
|
507 |
return Math.round(v * 10.0) / 10.0;
|
|
|
508 |
}
|
|
|
509 |
}
|