import { request } from '../lib/apiClient'
import { toStageCounts } from './pipeline'

/**
 * Dashboard analytics aggregates — backend/analytics/app.py.
 * Permissioned with require_permission(ANALYTICS_VIEW).
 */

export function kpis({ fromDate, toDate, department, recruiterId } = {}) {
  return request('/analytics/kpis/fetch', {
    params: {
      from_date: fromDate,
      to_date: toDate,
      department,
      recruiter_id: recruiterId,
    },
  })
}

export function funnel({ fromDate, toDate, department, recruiterId } = {}) {
  return request('/analytics/funnel/fetch', {
    params: {
      from_date: fromDate,
      to_date: toDate,
      department,
      recruiter_id: recruiterId,
    },
  })
}

/** Board column order used by the pipeline page. Rejected is last so callers
 *  that drop outcomes can slice it off without re-sorting. */
const BOARD_STAGE_ORDER = [
  'Shortlist', 'Screening', 'Assessment', 'Interview', 'Offer',
  'Approved', 'Hired', 'On Hold', 'Rejected',
]

/**
 * Fold /analytics/funnel/fetch rows (11 enum statuses) onto the pipeline
 * columns. Same mapping the board uses, so CLOSED is Rejected and ONHOLD /
 * APPROVED keep their own columns rather than folding into Screening / Hired.
 */
export function toBoardStageRows(funnelRows, { includeRejected = false } = {}) {
  const folded = toStageCounts(
    Object.fromEntries((funnelRows || []).map((r) => [r.stage, r.count || 0])),
  )
  const order = includeRejected
    ? BOARD_STAGE_ORDER
    : BOARD_STAGE_ORDER.filter((s) => s !== 'Rejected')
  return order.map((stage) => ({ stage, count: folded[stage] || 0 }))
}

export function hiringTrend({ months = 7, fromDate, toDate, department, recruiterId } = {}) {
  return request('/analytics/hiring-trend/fetch', {
    params: {
      months,
      from_date: fromDate,
      to_date: toDate,
      department,
      recruiter_id: recruiterId,
    },
  })
}

export function sourcePerformance({ fromDate, toDate, department, recruiterId } = {}) {
  return request('/analytics/source-performance/fetch', {
    params: {
      from_date: fromDate,
      to_date: toDate,
      department,
      recruiter_id: recruiterId,
    },
  })
}

/**
 * Applications received per job post — inbox + manual upload, the same two
 * sources the funnel counts, so this card and the pipeline card always agree.
 * Open reqs with zero applications are included; that emptiness is the signal.
 */
export function applicationsPerJob({ top = 10, fromDate, toDate, department, recruiterId } = {}) {
  return request('/analytics/applications-per-job/fetch', {
    params: {
      top,
      from_date: fromDate,
      to_date: toDate,
      department,
      recruiter_id: recruiterId,
    },
  })
}

/**
 * Natural-language analytics. The backend maps the question onto one whitelisted
 * analytics intent, runs the same governed query the dashboard uses, and returns
 * { answer, intent, params, data }. 503 means the AI service is unreachable —
 * the charts on this screen are unaffected.
 */
export function ask(question) {
  return request('/analytics/ask', { method: 'POST', body: { question } })
}

export function recruiterPerformance({ top = 5, fromDate, toDate, department, recruiterId } = {}) {
  return request('/analytics/recruiter-performance/fetch', {
    params: {
      top,
      from_date: fromDate,
      to_date: toDate,
      department,
      recruiter_id: recruiterId,
    },
  })
}