Maintainx Data Handling

MaintainX Data Handling

Overview

Patterns for synchronizing, transforming, and exporting data between MaintainX and external systems (databases, data warehouses, ERPs).

Prerequisites

• MaintainX API access configured
• Node.js 18+ with axios
• Target database or data warehouse available

Instructions

Step 1: Incremental Sync with Cursor Pagination

import { MaintainXClient } from './client';
import { writeFileSync, existsSync, readFileSync } from 'fs';

const SYNC_STATE_FILE = '.maintainx-sync-state.json';

interface SyncState {
  lastSyncAt: string;
  workOrderCursor?: string;
  assetCursor?: string;
}

function loadSyncState(): SyncState {
  if (existsSync(SYNC_STATE_FILE)) {
    return JSON.parse(readFileSync(SYNC_STATE_FILE, 'utf-8'));
  }
  return { lastSyncAt: new Date(0).toISOString() };
}

function saveSyncState(state: SyncState) {
  writeFileSync(SYNC_STATE_FILE, JSON.stringify(state, null, 2));
}

async function incrementalSync(client: MaintainXClient) {
  const state = loadSyncState();
  const syncStart = new Date().toISOString();

  console.log(`Syncing changes since ${state.lastSyncAt}`);

  // Sync work orders updated since last run
  let cursor: string | undefined;
  let totalWOs = 0;
  do {
    const response = await client.getWorkOrders({
      updatedAtGte: state.lastSyncAt,
      limit: 100,
      cursor,
    });
    for (const wo of response.workOrders) {
      await upsertWorkOrder(wo);  // Your DB write function
      totalWOs++;
    }
    cursor = response.cursor ?? undefined;
  } while (cursor);

  // Sync assets updated since last run
  let assetCursor: string | undefined;
  let totalAssets = 0;
  do {
    const response = await client.getAssets({
      updatedAtGte: state.lastSyncAt,
      limit: 100,
      cursor: assetCursor,
    });
    for (const asset of response.assets) {
      await upsertAsset(asset);  // Your DB write function
      totalAssets++;
    }
    assetCursor = response.cursor ?? undefined;
  } while (assetCursor);

  saveSyncState({ lastSyncAt: syncStart });
  console.log(`Synced ${totalWOs} work orders, ${totalAssets} assets`);
}

Step 2: Export to CSV

import { createWriteStream } from 'fs';

async function exportWorkOrdersToCSV(client: MaintainXClient, outputPath: string) {
  const stream = createWriteStream(outputPath);
  stream.write('id,title,status,priority,assignee,asset,location,created_at,completed_at\n');

  let cursor: string | undefined;
  let count = 0;

  do {
    const response = await client.getWorkOrders({ limit: 100, cursor });
    for (const wo of response.workOrders) {
      const row = [
        wo.id,
        `"${(wo.title || '').replace(/"/g, '""')}"`,
        wo.status,
        wo.priority,
        wo.assignees?.map((a: any) => a.id).join(';') || '',
        wo.assetId || '',
        wo.locationId || '',
        wo.createdAt,
        wo.completedAt || '',
      ].join(',');
      stream.write(row + '\n');
      count++;
    }
    cursor = response.cursor ?? undefined;
  } while (cursor);

  stream.end();
  console.log(`Exported ${count} work orders to ${outputPath}`);
}

// Usage
await exportWorkOrdersToCSV(client, 'work-orders-export.csv');

Step 3: Export to BigQuery

import { BigQuery } from '@google-cloud/bigquery';

const bq = new BigQuery({ projectId: 'your-project' });
const dataset = bq.dataset('maintenance');
const table = dataset.table('work_orders');

async function syncToBigQuery(client: MaintainXClient) {
  let cursor: string | undefined;
  const batch: any[] = [];

  do {
    const response = await client.getWorkOrders({ limit: 100, cursor });
    for (const wo of response.workOrders) {
      batch.push({
        id: wo.id,
        title: wo.title,
        status: wo.status,
        priority: wo.priority,
        asset_id: wo.assetId,
        location_id: wo.locationId,
        created_at: wo.createdAt,
        completed_at: wo.completedAt,
        synced_at: new Date().toISOString(),
      });
    }
    cursor = response.cursor ?? undefined;
  } while (cursor);

  if (batch.length > 0) {
    await table.insert(batch);
    console.log(`Inserted ${batch.length} rows into BigQuery`);
  }
}

Step 4: Data Reconciliation

async function reconcile(client: MaintainXClient, localDb: any) {
  const remoteOrders = await paginate(
    (cursor) => client.getWorkOrders({ limit: 100, cursor }),
    'workOrders',
  );
  const localOrders = await localDb.query('SELECT id, updated_at FROM work_orders');

  const remoteMap = new Map(remoteOrders.map((wo: any) => [wo.id, wo.updatedAt]));
  const localMap = new Map(localOrders.map((row: any) => [row.id, row.updated_at]));

  const missing = remoteOrders.filter((wo: any) => !localMap.has(wo.id));
  const stale = remoteOrders.filter(
    (wo: any) => localMap.has(wo.id) && localMap.get(wo.id) < remoteMap.get(wo.id),
  );
  const orphaned = localOrders.filter((row: any) => !remoteMap.has(row.id));

  console.log(`Missing locally: ${missing.length}`);
  console.log(`Stale locally: ${stale.length}`);
  console.log(`Orphaned locally: ${orphaned.length}`);

  return { missing, stale, orphaned };
}

Output

• Incremental sync with persistent cursor state
• CSV export of work orders with proper quoting
• BigQuery streaming insert pipeline
• Data reconciliation report (missing, stale, orphaned records)

Error Handling

Resources

• MaintainX API Reference
• BigQuery Node.js Client
• csv-parse -- CSV parsing for imports

Next Steps

For enterprise access control, see maintainx-enterprise-rbac.

Examples

Scheduled sync with cron:

// Run every 15 minutes via cron or node-schedule
import cron from 'node-cron';

cron.schedule('*/15 * * * *', async () => {
  console.log('Starting incremental sync...');
  await incrementalSync(new MaintainXClient());
});

Import work orders from a legacy CMMS CSV:

import { parse } from 'csv-parse/sync';
import { readFileSync } from 'fs';

const rows = parse(readFileSync('legacy-export.csv'), { columns: true });
for (const row of rows) {
  await client.createWorkOrder({
    title: row['Work Order Name'],
    description: row['Description'],
    priority: row['Priority'].toUpperCase(),
    categories: [row['Type'].toUpperCase()],
  });
}