/**
 * GET /api/dashboard/trends
 *   Operational trend data backing /dashboard's chart row + queue posture.
 *
 *   volumeByDay        — last 30 days, ticket creation count per day
 *   resolutionByDay    — last 30 days, mean resolution hours per day completed
 *   queueHeatmap       — open tickets grouped by (queue, priority)
 *   activeEngineers    — working engineers today (top N by hours), each with their per-ticket time entries
 *   ptoEngineers       — engineers whose only time today is on PTO/Vacation allocation codes
 *
 *   All queries run in parallel.  ~50 ms total against a warm DB.
 */

import { NextResponse } from 'next/server';
import { requireAuth } from '@/lib/auth-utils';
import postgresClient from '@/lib/services/postgres-client';
import { getUserTimezone } from '@/lib/services/user-timezone';

const TREND_DAYS = 30;
const TOP_QUEUES = 10;
const TOP_ENGINEERS = 8;
// Autotask allocation codes treated as PTO/Vacation/time-off.
// These are the internal codes used at Wulf for non-billable time-off entries
// (vacation, personal day, etc.) — surfaced separately from working hours.
const PTO_ALLOCATION_CODE_IDS = [91206, 91207, 91209];

export async function GET() {
  const { session, error } = await requireAuth();
  if (error) return error;
  const tz = getUserTimezone(session);

  const [volumeRes, resolutionRes, heatmapRes, engineersRes] = await Promise.all([
    postgresClient.query<{ d: string; count: string }>(
      `WITH days AS (
         SELECT generate_series(
           (NOW() AT TIME ZONE $1)::date - INTERVAL '${TREND_DAYS - 1} days',
           (NOW() AT TIME ZONE $1)::date,
           INTERVAL '1 day'
         )::date AS d
       )
       SELECT d::text AS d,
              COALESCE(COUNT(t.id), 0)::text AS count
         FROM days
    LEFT JOIN tickets t
           ON ((t.create_date AT TIME ZONE 'UTC') AT TIME ZONE $1)::date = days.d
          AND (t.is_deleted = false OR t.is_deleted IS NULL)
        GROUP BY d
        ORDER BY d`,
      [tz],
    ),
    postgresClient.query<{ d: string; avg_hours: string | null }>(
      `WITH days AS (
         SELECT generate_series(
           (NOW() AT TIME ZONE $1)::date - INTERVAL '${TREND_DAYS - 1} days',
           (NOW() AT TIME ZONE $1)::date,
           INTERVAL '1 day'
         )::date AS d
       )
       SELECT d::text AS d,
              AVG(EXTRACT(EPOCH FROM (t.completed_date - t.create_date)) / 3600.0)::text AS avg_hours
         FROM days
    LEFT JOIN tickets t
           ON ((t.completed_date AT TIME ZONE 'UTC') AT TIME ZONE $1)::date = days.d
          AND t.create_date IS NOT NULL
          AND (t.is_deleted = false OR t.is_deleted IS NULL)
        GROUP BY d
        ORDER BY d`,
      [tz],
    ),
    // queueHeatmap: open-only counts (no day-boundary math) — tz does not apply.
    // Filters out queues the calling user has hidden via /api/me/queue-preferences.
    postgresClient.query<{
      queue_id: number | null;
      queue_label: string | null;
      priority: number | null;
      count: string;
    }>(
      `SELECT t.queue_id,
              q.label AS queue_label,
              t.priority,
              COUNT(*)::text AS count
         FROM tickets t
    LEFT JOIN queues q ON q.value = t.queue_id
        WHERE t.completed_date IS NULL
          AND (t.is_deleted = false OR t.is_deleted IS NULL)
          AND (t.queue_id IS NULL OR t.queue_id NOT IN (
                SELECT queue_id FROM user_queue_preferences WHERE user_id = $1
              ))
        GROUP BY t.queue_id, q.label, t.priority
        ORDER BY COUNT(*) DESC`,
      [session!.user.id],
    ),
    postgresClient.query<{
      resource_id: string;
      resource_name: string;
      hours: string;
      tickets_touched: string;
      ticket_id: string | null;
      ticket_number: string | null;
      ticket_title: string | null;
      ticket_description: string | null;
      ticket_status_label: string | null;
      ticket_hours: string | null;
      is_pto: boolean;
      pto_note: string | null;
    }>(
      `WITH today_entries AS (
         SELECT te.resource_id,
                te.ticket_id,
                te.hours_worked,
                te.allocation_code_id,
                te.notes,
                te.title
           FROM time_entries te
          WHERE te.entry_date::date = (NOW() AT TIME ZONE $1)::date
            AND te.hours_worked > 0
       ),
       engineer_totals AS (
         SELECT resource_id,
                SUM(hours_worked) AS hours,
                COUNT(DISTINCT ticket_id) FILTER (WHERE ticket_id IS NOT NULL) AS tickets_touched,
                BOOL_OR(allocation_code_id = ANY($2::int[])) AS has_pto,
                BOOL_OR(allocation_code_id IS NULL OR NOT (allocation_code_id = ANY($2::int[]))) AS has_work,
                MAX(CASE WHEN allocation_code_id = ANY($2::int[])
                         THEN NULLIF(COALESCE(notes, title), '') END) AS pto_note
           FROM today_entries
          GROUP BY resource_id
       ),
       ticket_totals AS (
         SELECT te.resource_id,
                te.ticket_id,
                SUM(te.hours_worked) AS ticket_hours
           FROM today_entries te
          WHERE te.ticket_id IS NOT NULL
          GROUP BY te.resource_id, te.ticket_id
       )
       SELECT et.resource_id::text,
              COALESCE(NULLIF(TRIM(r.first_name || ' ' || COALESCE(r.last_name, '')), ''),
                       r.email,
                       'Resource ' || et.resource_id) AS resource_name,
              et.hours::text AS hours,
              et.tickets_touched::text AS tickets_touched,
              tt.ticket_id::text AS ticket_id,
              t.ticket_number,
              t.title AS ticket_title,
              t.description AS ticket_description,
              s.label AS ticket_status_label,
              tt.ticket_hours::text AS ticket_hours,
              (et.has_pto AND NOT et.has_work) AS is_pto,
              et.pto_note
         FROM engineer_totals et
    LEFT JOIN resources r ON r.id = et.resource_id
    LEFT JOIN ticket_totals tt ON tt.resource_id = et.resource_id
    LEFT JOIN tickets t ON t.id = tt.ticket_id
    LEFT JOIN statuses s ON s.value = t.status
        ORDER BY (et.has_pto AND NOT et.has_work) ASC,
                 et.hours DESC,
                 et.resource_id,
                 tt.ticket_hours DESC NULLS LAST`,
      [tz, PTO_ALLOCATION_CODE_IDS],
    ),
  ]);

  // Heatmap: top N queues by open volume × priority columns
  const heatmapRows = heatmapRes.rows;
  const queueTotals = new Map<number, { id: number; label: string; total: number }>();
  for (const row of heatmapRows) {
    if (row.queue_id == null) continue;
    const t = queueTotals.get(row.queue_id) ?? {
      id: row.queue_id,
      label: row.queue_label ?? `Queue ${row.queue_id}`,
      total: 0,
    };
    t.total += parseInt(row.count, 10);
    queueTotals.set(row.queue_id, t);
  }
  const topQueues = [...queueTotals.values()]
    .sort((a, b) => b.total - a.total)
    .slice(0, TOP_QUEUES);

  const heatmap = topQueues.map((q) => {
    const cells: Record<number, number> = {};
    for (const row of heatmapRows) {
      if (row.queue_id !== q.id || row.priority == null) continue;
      cells[row.priority] = (cells[row.priority] ?? 0) + parseInt(row.count, 10);
    }
    return { queueId: q.id, queueLabel: q.label, total: q.total, byPriority: cells };
  });

  // Fold the joined engineer/ticket rows into per-engineer records.
  type Ticket = {
    id: string;
    ticketNumber: string | null;
    title: string | null;
    description: string | null;
    statusLabel: string | null;
    hours: number;
  };
  type Engineer = {
    resourceId: string;
    name: string;
    hours: number;
    ticketsTouched: number;
    tickets: Ticket[];
    isPto: boolean;
    ptoNote: string | null;
  };
  const engineerById = new Map<string, Engineer>();
  for (const row of engineersRes.rows) {
    let eng = engineerById.get(row.resource_id);
    if (!eng) {
      eng = {
        resourceId: row.resource_id,
        name: row.resource_name,
        hours: Math.round(parseFloat(row.hours) * 10) / 10,
        ticketsTouched: parseInt(row.tickets_touched, 10),
        tickets: [],
        isPto: row.is_pto,
        ptoNote: row.pto_note,
      };
      engineerById.set(row.resource_id, eng);
    }
    if (row.ticket_id) {
      eng.tickets.push({
        id: row.ticket_id,
        ticketNumber: row.ticket_number,
        title: row.ticket_title,
        description: row.ticket_description,
        statusLabel: row.ticket_status_label,
        hours: row.ticket_hours == null
          ? 0
          : Math.round(parseFloat(row.ticket_hours) * 10) / 10,
      });
    }
  }
  const allEngineers = [...engineerById.values()];
  const activeEngineers = allEngineers
    .filter((e) => !e.isPto)
    .sort((a, b) => b.hours - a.hours)
    .slice(0, TOP_ENGINEERS);
  const ptoEngineers = allEngineers
    .filter((e) => e.isPto)
    .sort((a, b) => a.name.localeCompare(b.name));

  return NextResponse.json({
    volumeByDay: volumeRes.rows.map((r) => ({
      date: r.d,
      count: parseInt(r.count, 10),
    })),
    resolutionByDay: resolutionRes.rows.map((r) => ({
      date: r.d,
      avgHours: r.avg_hours == null ? null : Math.round(parseFloat(r.avg_hours) * 10) / 10,
    })),
    queueHeatmap: heatmap,
    activeEngineers,
    ptoEngineers,
  });
}