collabSupport/commands/avStatus.js
jmcqueen 351f89a9a4 Initial commit: CollabFinder Webex bot
Multi-integration Webex chat/HTTP bot that unifies phone, AV, and
network status for retail store support. Consolidates data from
Webex Calling, Meraki, Workspace ONE (MDM), Atlas AMP, RED digital
signage, and OptiSigns into rich per-store status commands.

Key surfaces:
- /phonestatus, /avstatus — per-store phone & AV device reports with
  clickable Meraki deep-links and per-port detail.
- /webexhost — check/assign Webex Meetings host licenses via the
  Service App; adaptive-card confirmation flow, HTTP-API-gated.
- /offboarduser — full Webex Admin offboarding (auth revoke, device
  wipe, license removal); adaptive-card confirmation.
- /jirapoll — on-demand trigger for the hourly Jira poller.
- /bulkavstatuscsv — bulk store CSV export with concurrency limits.

Automation:
- Hourly Jira poller (node-cron) with an X.AI (Grok) ticket classifier
  that categorizes unassigned tickets as phone/av/skip, extracts store
  numbers from free-text, and enriches Jira with the same detailed
  markdown the chat commands emit (converted to Jira ADF, preserves
  bold + Meraki links). Idempotent via a `bot-enriched` Jira label.

Architecture:
- Node.js 20+, ESM, Express 5, webex-node-bot-framework.
- Layered integrations (integrations/*), services (services/*),
  commands (commands/*), utils (utils/*).
- Shared markdown renderers (services/renderers/*) feed both chat
  handlers and the Jira poller so the two surfaces stay in sync.
- Hand-rolled markdown-to-ADF converter (utils/markdownToAdf.js) —
  no new npm dependency.
- Node built-in test runner (`node --test tests/*.test.js`), 30 tests
  covering the converter, renderers, and poller ADF assembly.

Docker + docker-compose deployment. Config via .env
(see .env.example for the full option surface).
2026-07-01 16:55:03 -04:00

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// src/commands/avStatus.js
//
// Chat + HTTP entry point for /avstatus. The heavy rendering lives in
// services/renderers/avStatusRenderer.js so the Jira poller can emit
// the same markdown (see services/jiraPollerService.js). This handler
// stays thin: parse args, call the collector, hand data to the renderer,
// respond.
import { collectDeviceStatus } from '../services/deviceService.js';
import { renderAvStatusMarkdown } from '../services/renderers/avStatusRenderer.js';
import { logger } from '../utils/logger.js';
export async function handleAvStatus(bot, trigger) {
logger('device:status', 'Handler entered', 'debug');
const query = trigger.query || {};
const args = trigger.args || [];
let storeNum = args[0]?.trim() || query.storeNum || query.store || query.s;
const isDetailed =
(args[1]?.toLowerCase() === 'detailed') ||
(query.mode === 'detailed') ||
(query.detailed === 'true' || query.detailed === true);
if (!storeNum || !/^\d{2,4}$/.test(storeNum)) {
const errorMsg = 'Please provide a 24 digit store number.\n' +
'Example: `/avstatus 782` (or `detailed` / `?detailed=true` for more; includes Meraki deep links) or `https://.../avstatus?storeNum=782`';
await bot.say('markdown', errorMsg);
return;
}
logger('device:status', `Collecting AV device status for store ${storeNum} in detailed mode`, 'debug');
try {
const data = await collectDeviceStatus(storeNum);
const reply = renderAvStatusMarkdown(data, {
storeNum,
detailed: isDetailed,
footer: true,
});
await bot.say('markdown', reply);
const mdmDevices = data.mdm?.data || [];
logger('device:status', `Rendered detailed view for ${mdmDevices.length} MDM devices`);
} catch (err) {
logger('device:status', `Error: ${err.message}`, 'error');
await bot.say('markdown', `❌ Error collecting device status: ${err.message}`);
}
}