feat(scheduling): tenant scheduling overview/analytics
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import { Injectable } from '@nestjs/common'
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import { InjectModel } from '@nestjs/mongoose'
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import { Model, Types } from 'mongoose'
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import { Booking, BookingDocument, BookingStatus } from '../../schemas/booking.schema.js'
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import { Host, HostDocument } from '../../schemas/scheduling-host.schema.js'
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// Read-only analytics for the tenant scheduling admin (Phase 3). All figures are
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// derived from the bookings collection scoped to a single tenant; nothing here
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// mutates state. The per-day series powers a small sparkline-style chart, and the
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// per-host breakdown lets an admin see who is carrying the booking load.
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const SERIES_DAYS = 30
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export interface HostCount {
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hostId: string
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displayName: string
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count: number
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}
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export interface DayPoint {
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date: string // YYYY-MM-DD (UTC)
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count: number
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}
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export interface SchedulingOverview {
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totalBookings: number
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upcomingCount: number
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byStatus: Record<BookingStatus, number>
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byHost: HostCount[]
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last30Days: DayPoint[]
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}
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@Injectable()
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export class OverviewService {
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constructor(
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@InjectModel(Booking.name) private readonly bookingModel: Model<BookingDocument>,
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@InjectModel(Host.name) private readonly hostModel: Model<HostDocument>,
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) {}
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async forTenant(tenantId: Types.ObjectId): Promise<SchedulingOverview> {
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const now = new Date()
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// Window start = midnight UTC, (SERIES_DAYS - 1) days ago, so the series
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// contains exactly SERIES_DAYS calendar days ending today.
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const windowStart = new Date(Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), now.getUTCDate()))
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windowStart.setUTCDate(windowStart.getUTCDate() - (SERIES_DAYS - 1))
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// Run the aggregates concurrently — they're independent reads.
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const [statusAgg, hostAgg, dayAgg, upcomingCount, hosts] = await Promise.all([
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// Counts per status.
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this.bookingModel
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.aggregate<{ _id: BookingStatus; count: number }>([
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{ $match: { tenantId } },
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{ $group: { _id: '$status', count: { $sum: 1 } } },
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])
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.exec(),
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// Counts per host (any status).
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this.bookingModel
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.aggregate<{ _id: Types.ObjectId; count: number }>([
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{ $match: { tenantId } },
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{ $group: { _id: '$hostId', count: { $sum: 1 } } },
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])
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.exec(),
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// Bookings created per day over the trailing window (by createdAt).
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this.bookingModel
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.aggregate<{ _id: string; count: number }>([
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{ $match: { tenantId, createdAt: { $gte: windowStart } } },
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{
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$group: {
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_id: { $dateToString: { format: '%Y-%m-%d', date: '$createdAt', timezone: 'UTC' } },
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count: { $sum: 1 },
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},
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},
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])
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.exec(),
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// Confirmed bookings still in the future.
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this.bookingModel.countDocuments({ tenantId, status: 'confirmed', startUtc: { $gte: now } }).exec(),
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// Host display names for the breakdown labels.
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this.hostModel.find({ tenantId }).select('_id displayName').exec(),
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])
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const byStatus: Record<BookingStatus, number> = {
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pending: 0,
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confirmed: 0,
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cancelled: 0,
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rescheduled: 0,
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calendar_failed: 0,
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}
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let totalBookings = 0
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for (const row of statusAgg) {
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if (row._id in byStatus) byStatus[row._id] = row.count
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totalBookings += row.count
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}
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const nameById = new Map(hosts.map((h) => [h._id.toString(), h.displayName]))
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const byHost: HostCount[] = hostAgg
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.map((row) => ({
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hostId: row._id.toString(),
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displayName: nameById.get(row._id.toString()) ?? 'Unknown host',
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count: row.count,
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}))
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.sort((a, b) => b.count - a.count)
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// Fill the day series so every day in the window has a point (zero when no
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// bookings), keeping the front-end chart simple.
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const countByDate = new Map(dayAgg.map((row) => [row._id, row.count]))
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const last30Days: DayPoint[] = []
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for (let i = 0; i < SERIES_DAYS; i++) {
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const d = new Date(windowStart)
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d.setUTCDate(d.getUTCDate() + i)
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const date = d.toISOString().slice(0, 10)
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last30Days.push({ date, count: countByDate.get(date) ?? 0 })
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}
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return { totalBookings, upcomingCount, byStatus, byHost, last30Days }
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}
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}
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