968 lines
34 KiB
TypeScript
968 lines
34 KiB
TypeScript
/**
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* Recording worker using PgBoss for asynchronous browser recording operations
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*/
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import PgBoss, { Job } from 'pg-boss';
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import logger from './logger';
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import {
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initializeRemoteBrowserForRecording,
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destroyRemoteBrowser,
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interpretWholeWorkflow,
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stopRunningInterpretation,
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} from './browser-management/controller';
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import { WorkflowFile } from 'maxun-core';
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import Run from './models/Run';
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import Robot from './models/Robot';
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import { browserPool } from './server';
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import { Page } from 'playwright';
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import { BinaryOutputService } from './storage/mino';
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import { capture } from './utils/analytics';
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import { googleSheetUpdateTasks, processGoogleSheetUpdates } from './workflow-management/integrations/gsheet';
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import { airtableUpdateTasks, processAirtableUpdates } from './workflow-management/integrations/airtable';
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import { RemoteBrowser } from './browser-management/classes/RemoteBrowser';
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import { io as serverIo } from "./server";
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import { sendWebhook } from './routes/webhook';
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if (!process.env.DB_USER || !process.env.DB_PASSWORD || !process.env.DB_HOST || !process.env.DB_PORT || !process.env.DB_NAME) {
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throw new Error('Failed to start pgboss worker: one or more required environment variables are missing.');
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}
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const pgBossConnectionString = `postgresql://${process.env.DB_USER}:${encodeURIComponent(process.env.DB_PASSWORD)}@${process.env.DB_HOST}:${process.env.DB_PORT}/${process.env.DB_NAME}`;
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interface InitializeBrowserData {
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userId: string;
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}
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interface InterpretWorkflow {
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userId: string;
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}
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interface StopInterpretWorkflow {
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userId: string;
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}
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interface DestroyBrowserData {
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browserId: string;
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userId: string;
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}
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interface ExecuteRunData {
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userId: string;
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runId: string;
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browserId: string;
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}
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interface AbortRunData {
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userId: string;
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runId: string;
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}
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const pgBoss = new PgBoss({
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connectionString: pgBossConnectionString,
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expireInHours: 23
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});
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/**
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* Extract data safely from a job (single job or job array)
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*/
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function extractJobData<T>(job: Job<T> | Job<T>[]): T {
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if (Array.isArray(job)) {
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if (job.length === 0) {
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throw new Error('Empty job array received');
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}
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return job[0].data;
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}
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return job.data;
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}
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function AddGeneratedFlags(workflow: WorkflowFile) {
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const copy = JSON.parse(JSON.stringify(workflow));
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for (let i = 0; i < workflow.workflow.length; i++) {
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copy.workflow[i].what.unshift({
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action: 'flag',
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args: ['generated'],
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});
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}
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return copy;
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};
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/**
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* Helper function to extract and process scraped data from browser interpreter
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*/
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async function extractAndProcessScrapedData(
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browser: RemoteBrowser,
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run: any
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): Promise<{
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categorizedOutput: any;
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uploadedBinaryOutput: any;
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totalDataPointsExtracted: number;
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totalSchemaItemsExtracted: number;
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totalListItemsExtracted: number;
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extractedScreenshotsCount: number;
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}> {
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let categorizedOutput: {
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scrapeSchema: Record<string, any>;
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scrapeList: Record<string, any>;
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} = {
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scrapeSchema: {},
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scrapeList: {}
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};
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if ((browser?.interpreter?.serializableDataByType?.scrapeSchema ?? []).length > 0) {
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browser?.interpreter?.serializableDataByType?.scrapeSchema?.forEach((schemaItem: any, index: any) => {
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categorizedOutput.scrapeSchema[`schema-${index}`] = schemaItem;
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});
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}
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if ((browser?.interpreter?.serializableDataByType?.scrapeList ?? []).length > 0) {
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browser?.interpreter?.serializableDataByType?.scrapeList?.forEach((listItem: any, index: any) => {
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categorizedOutput.scrapeList[`list-${index}`] = listItem;
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});
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}
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const binaryOutput = browser?.interpreter?.binaryData?.reduce(
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(reducedObject: Record<string, any>, item: any, index: number): Record<string, any> => {
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return {
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[`item-${index}`]: item,
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...reducedObject,
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};
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},
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{}
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) || {};
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let totalDataPointsExtracted = 0;
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let totalSchemaItemsExtracted = 0;
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let totalListItemsExtracted = 0;
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let extractedScreenshotsCount = 0;
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if (categorizedOutput.scrapeSchema) {
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Object.values(categorizedOutput.scrapeSchema).forEach((schemaResult: any) => {
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if (Array.isArray(schemaResult)) {
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schemaResult.forEach(obj => {
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if (obj && typeof obj === 'object') {
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totalDataPointsExtracted += Object.keys(obj).length;
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}
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});
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totalSchemaItemsExtracted += schemaResult.length;
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} else if (schemaResult && typeof schemaResult === 'object') {
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totalDataPointsExtracted += Object.keys(schemaResult).length;
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totalSchemaItemsExtracted += 1;
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}
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});
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}
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if (categorizedOutput.scrapeList) {
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Object.values(categorizedOutput.scrapeList).forEach((listResult: any) => {
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if (Array.isArray(listResult)) {
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listResult.forEach(obj => {
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if (obj && typeof obj === 'object') {
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totalDataPointsExtracted += Object.keys(obj).length;
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}
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});
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totalListItemsExtracted += listResult.length;
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}
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});
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}
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if (binaryOutput) {
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extractedScreenshotsCount = Object.keys(binaryOutput).length;
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totalDataPointsExtracted += extractedScreenshotsCount;
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}
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const binaryOutputService = new BinaryOutputService('maxun-run-screenshots');
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const uploadedBinaryOutput = await binaryOutputService.uploadAndStoreBinaryOutput(
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run,
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binaryOutput
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);
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return {
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categorizedOutput: {
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scrapeSchema: categorizedOutput.scrapeSchema || {},
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scrapeList: categorizedOutput.scrapeList || {}
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},
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uploadedBinaryOutput,
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totalDataPointsExtracted,
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totalSchemaItemsExtracted,
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totalListItemsExtracted,
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extractedScreenshotsCount
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};
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}
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// Helper function to handle integration updates
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async function triggerIntegrationUpdates(runId: string, robotMetaId: string): Promise<void> {
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try {
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googleSheetUpdateTasks[runId] = {
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robotId: robotMetaId,
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runId: runId,
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status: 'pending',
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retries: 5,
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};
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airtableUpdateTasks[runId] = {
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robotId: robotMetaId,
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runId: runId,
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status: 'pending',
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retries: 5,
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};
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processAirtableUpdates();
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processGoogleSheetUpdates();
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} catch (err: any) {
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logger.log('error', `Failed to update integrations for run: ${runId}: ${err.message}`);
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}
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}
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/**
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* Modified processRunExecution function - only add browser reset
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*/
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async function processRunExecution(job: Job<ExecuteRunData>) {
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const BROWSER_INIT_TIMEOUT = 60000;
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const BROWSER_PAGE_TIMEOUT = 45000;
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const data = job.data;
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logger.log('info', `Processing run execution job for runId: ${data.runId}, browserId: ${data.browserId}`);
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try {
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// Find the run
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const run = await Run.findOne({ where: { runId: data.runId } });
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if (!run) {
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logger.log('error', `Run ${data.runId} not found in database`);
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return { success: false };
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}
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if (run.status === 'aborted' || run.status === 'aborting') {
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logger.log('info', `Run ${data.runId} has status ${run.status}, skipping execution`);
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return { success: true };
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}
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const plainRun = run.toJSON();
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const browserId = data.browserId || plainRun.browserId;
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if (!browserId) {
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throw new Error(`No browser ID available for run ${data.runId}`);
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}
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logger.log('info', `Looking for browser ${browserId} for run ${data.runId}`);
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let browser = browserPool.getRemoteBrowser(browserId);
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const browserWaitStart = Date.now();
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let lastLogTime = 0;
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while (!browser && (Date.now() - browserWaitStart) < BROWSER_INIT_TIMEOUT) {
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const currentTime = Date.now();
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const browserStatus = browserPool.getBrowserStatus(browserId);
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if (browserStatus === null) {
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throw new Error(`Browser slot ${browserId} does not exist in pool`);
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}
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if (currentTime - lastLogTime > 10000) {
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logger.log('info', `Browser ${browserId} not ready yet (status: ${browserStatus}), waiting... (${Math.round((currentTime - browserWaitStart) / 1000)}s elapsed)`);
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lastLogTime = currentTime;
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}
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await new Promise(resolve => setTimeout(resolve, 2000));
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browser = browserPool.getRemoteBrowser(browserId);
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}
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if (!browser) {
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const finalStatus = browserPool.getBrowserStatus(browserId);
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throw new Error(`Browser ${browserId} not found in pool after ${BROWSER_INIT_TIMEOUT/1000}s timeout (final status: ${finalStatus})`);
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}
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logger.log('info', `Browser ${browserId} found and ready for execution`);
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try {
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// Find the recording
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const recording = await Robot.findOne({ where: { 'recording_meta.id': plainRun.robotMetaId }, raw: true });
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if (!recording) {
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throw new Error(`Recording for run ${data.runId} not found`);
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}
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const isRunAborted = async (): Promise<boolean> => {
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const currentRun = await Run.findOne({ where: { runId: data.runId } });
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return currentRun ? (currentRun.status === 'aborted' || currentRun.status === 'aborting') : false;
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};
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let currentPage = browser.getCurrentPage();
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const pageWaitStart = Date.now();
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let lastPageLogTime = 0;
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while (!currentPage && (Date.now() - pageWaitStart) < BROWSER_PAGE_TIMEOUT) {
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const currentTime = Date.now();
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if (currentTime - lastPageLogTime > 5000) {
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logger.log('info', `Page not ready for browser ${browserId}, waiting... (${Math.round((currentTime - pageWaitStart) / 1000)}s elapsed)`);
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lastPageLogTime = currentTime;
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}
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await new Promise(resolve => setTimeout(resolve, 1000));
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currentPage = browser.getCurrentPage();
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}
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if (!currentPage) {
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throw new Error(`No current page available for browser ${browserId} after ${BROWSER_PAGE_TIMEOUT/1000}s timeout`);
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}
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logger.log('info', `Starting workflow execution for run ${data.runId}`);
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// Execute the workflow
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const workflow = AddGeneratedFlags(recording.recording);
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const interpretationInfo = await browser.interpreter.InterpretRecording(
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workflow,
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currentPage,
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(newPage: Page) => currentPage = newPage,
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plainRun.interpreterSettings
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);
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if (await isRunAborted()) {
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logger.log('info', `Run ${data.runId} was aborted during execution, not updating status`);
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await destroyRemoteBrowser(plainRun.browserId, data.userId);
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return { success: true };
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}
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logger.log('info', `Workflow execution completed for run ${data.runId}`);
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const binaryOutputService = new BinaryOutputService('maxun-run-screenshots');
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const uploadedBinaryOutput = await binaryOutputService.uploadAndStoreBinaryOutput(run, interpretationInfo.binaryOutput);
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const categorizedOutput = {
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scrapeSchema: interpretationInfo.scrapeSchemaOutput || {},
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scrapeList: interpretationInfo.scrapeListOutput || {}
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};
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if (await isRunAborted()) {
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logger.log('info', `Run ${data.runId} was aborted while processing results, not updating status`);
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return { success: true };
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}
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await run.update({
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...run,
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status: 'success',
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finishedAt: new Date().toLocaleString(),
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browserId: plainRun.browserId,
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log: interpretationInfo.log.join('\n'),
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serializableOutput: {
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scrapeSchema: Object.values(categorizedOutput.scrapeSchema),
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scrapeList: Object.values(categorizedOutput.scrapeList),
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},
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binaryOutput: uploadedBinaryOutput,
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});
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// Track extraction metrics
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let totalDataPointsExtracted = 0;
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let totalSchemaItemsExtracted = 0;
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let totalListItemsExtracted = 0;
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let extractedScreenshotsCount = 0;
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if (categorizedOutput.scrapeSchema) {
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Object.values(categorizedOutput.scrapeSchema).forEach((schemaResult: any) => {
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if (Array.isArray(schemaResult)) {
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schemaResult.forEach(obj => {
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if (obj && typeof obj === 'object') {
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totalDataPointsExtracted += Object.keys(obj).length;
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}
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});
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totalSchemaItemsExtracted += schemaResult.length;
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} else if (schemaResult && typeof schemaResult === 'object') {
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totalDataPointsExtracted += Object.keys(schemaResult).length;
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totalSchemaItemsExtracted += 1;
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}
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});
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}
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if (categorizedOutput.scrapeList) {
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Object.values(categorizedOutput.scrapeList).forEach((listResult: any) => {
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if (Array.isArray(listResult)) {
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listResult.forEach(obj => {
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if (obj && typeof obj === 'object') {
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totalDataPointsExtracted += Object.keys(obj).length;
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}
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});
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totalListItemsExtracted += listResult.length;
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}
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});
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}
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if (uploadedBinaryOutput) {
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extractedScreenshotsCount = Object.keys(uploadedBinaryOutput).length;
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totalDataPointsExtracted += extractedScreenshotsCount;
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}
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const totalRowsExtracted = totalSchemaItemsExtracted + totalListItemsExtracted;
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console.log(`Extracted Schema Items Count: ${totalSchemaItemsExtracted}`);
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console.log(`Extracted List Items Count: ${totalListItemsExtracted}`);
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console.log(`Extracted Screenshots Count: ${extractedScreenshotsCount}`);
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console.log(`Total Rows Extracted: ${totalRowsExtracted}`);
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console.log(`Total Data Points Extracted: ${totalDataPointsExtracted}`);
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// Capture metrics
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capture(
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'maxun-oss-run-created-manual',
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{
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runId: data.runId,
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user_id: data.userId,
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created_at: new Date().toISOString(),
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status: 'success',
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totalRowsExtracted,
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schemaItemsExtracted: totalSchemaItemsExtracted,
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listItemsExtracted: totalListItemsExtracted,
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extractedScreenshotsCount,
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}
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);
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// Trigger webhooks for run completion
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const webhookPayload = {
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robot_id: plainRun.robotMetaId,
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run_id: data.runId,
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robot_name: recording.recording_meta.name,
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status: 'success',
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started_at: plainRun.startedAt,
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finished_at: new Date().toLocaleString(),
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extracted_data: {
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captured_texts: Object.values(categorizedOutput.scrapeSchema).flat() || [],
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captured_lists: categorizedOutput.scrapeList,
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total_rows: totalRowsExtracted,
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captured_texts_count: totalSchemaItemsExtracted,
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captured_lists_count: totalListItemsExtracted,
|
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screenshots_count: extractedScreenshotsCount,
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total_data_points_extracted: totalDataPointsExtracted,
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},
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metadata: {
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browser_id: plainRun.browserId,
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user_id: data.userId,
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}
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};
|
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|
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try {
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await sendWebhook(plainRun.robotMetaId, 'run_completed', webhookPayload);
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logger.log('info', `Webhooks sent successfully for completed run ${data.runId}`);
|
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} catch (webhookError: any) {
|
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logger.log('error', `Failed to send webhooks for run ${data.runId}: ${webhookError.message}`);
|
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}
|
|
|
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// Schedule updates for Google Sheets and Airtable
|
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await triggerIntegrationUpdates(plainRun.runId, plainRun.robotMetaId);
|
|
|
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const completionData = {
|
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runId: data.runId,
|
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robotMetaId: plainRun.robotMetaId,
|
|
robotName: recording.recording_meta.name,
|
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status: 'success',
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finishedAt: new Date().toLocaleString()
|
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};
|
|
|
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serverIo.of(browserId).emit('run-completed', completionData);
|
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serverIo.of('/queued-run').to(`user-${data.userId}`).emit('run-completed', completionData);
|
|
|
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await destroyRemoteBrowser(browserId, data.userId);
|
|
logger.log('info', `Browser ${browserId} destroyed after successful run ${data.runId}`);
|
|
|
|
return { success: true };
|
|
} catch (executionError: any) {
|
|
logger.log('error', `Run execution failed for run ${data.runId}: ${executionError.message}`);
|
|
|
|
let partialDataExtracted = false;
|
|
let partialData: any = null;
|
|
let partialUpdateData: any = {
|
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status: 'failed',
|
|
finishedAt: new Date().toLocaleString(),
|
|
log: `Failed: ${executionError.message}`,
|
|
};
|
|
|
|
try {
|
|
if (browser && browser.interpreter) {
|
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const hasSchemaData = (browser.interpreter.serializableDataByType?.scrapeSchema ?? []).length > 0;
|
|
const hasListData = (browser.interpreter.serializableDataByType?.scrapeList ?? []).length > 0;
|
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const hasBinaryData = (browser.interpreter.binaryData ?? []).length > 0;
|
|
|
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if (hasSchemaData || hasListData || hasBinaryData) {
|
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logger.log('info', `Extracting partial data from failed run ${data.runId}`);
|
|
|
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partialData = await extractAndProcessScrapedData(browser, run);
|
|
|
|
partialUpdateData.serializableOutput = {
|
|
scrapeSchema: Object.values(partialData.categorizedOutput.scrapeSchema),
|
|
scrapeList: Object.values(partialData.categorizedOutput.scrapeList),
|
|
};
|
|
partialUpdateData.binaryOutput = partialData.uploadedBinaryOutput;
|
|
|
|
partialDataExtracted = true;
|
|
logger.log('info', `Partial data extracted for failed run ${data.runId}: ${partialData.totalDataPointsExtracted} data points`);
|
|
|
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await triggerIntegrationUpdates(plainRun.runId, plainRun.robotMetaId);
|
|
}
|
|
}
|
|
} catch (partialDataError: any) {
|
|
logger.log('warn', `Failed to extract partial data for run ${data.runId}: ${partialDataError.message}`);
|
|
}
|
|
|
|
await run.update(partialUpdateData);
|
|
|
|
try {
|
|
const recording = await Robot.findOne({ where: { 'recording_meta.id': run.robotMetaId }, raw: true });
|
|
|
|
const failureData = {
|
|
runId: data.runId,
|
|
robotMetaId: plainRun.robotMetaId,
|
|
robotName: recording ? recording.recording_meta.name : 'Unknown Robot',
|
|
status: 'failed',
|
|
finishedAt: new Date().toLocaleString(),
|
|
hasPartialData: partialDataExtracted
|
|
};
|
|
|
|
serverIo.of(browserId).emit('run-completed', failureData);
|
|
serverIo.of('/queued-run').to(`user-${data.userId}`).emit('run-completed', failureData);
|
|
} catch (emitError: any) {
|
|
logger.log('warn', `Failed to emit failure event: ${emitError.message}`);
|
|
}
|
|
|
|
const recording = await Robot.findOne({ where: { 'recording_meta.id': run.robotMetaId }, raw: true });
|
|
|
|
const failedWebhookPayload = {
|
|
robot_id: plainRun.robotMetaId,
|
|
run_id: data.runId,
|
|
robot_name: recording ? recording.recording_meta.name : 'Unknown Robot',
|
|
status: 'failed',
|
|
started_at: plainRun.startedAt,
|
|
finished_at: new Date().toLocaleString(),
|
|
error: {
|
|
message: executionError.message,
|
|
stack: executionError.stack,
|
|
type: 'ExecutionError',
|
|
},
|
|
partial_data_extracted: partialDataExtracted,
|
|
extracted_data: partialDataExtracted ? {
|
|
captured_texts: Object.values(partialUpdateData.serializableOutput?.scrapeSchema || []).flat() || [],
|
|
captured_lists: partialUpdateData.serializableOutput?.scrapeList || {},
|
|
total_data_points_extracted: partialData?.totalDataPointsExtracted || 0,
|
|
captured_texts_count: partialData?.totalSchemaItemsExtracted || 0,
|
|
captured_lists_count: partialData?.totalListItemsExtracted || 0,
|
|
screenshots_count: partialData?.extractedScreenshotsCount || 0
|
|
} : null,
|
|
metadata: {
|
|
browser_id: plainRun.browserId,
|
|
user_id: data.userId,
|
|
}
|
|
};
|
|
|
|
try {
|
|
await sendWebhook(plainRun.robotMetaId, 'run_failed', failedWebhookPayload);
|
|
logger.log('info', `Failure webhooks sent successfully for run ${data.runId}`);
|
|
} catch (webhookError: any) {
|
|
logger.log('error', `Failed to send failure webhooks for run ${data.runId}: ${webhookError.message}`);
|
|
}
|
|
|
|
try {
|
|
const failureSocketData = {
|
|
runId: data.runId,
|
|
robotMetaId: run.robotMetaId,
|
|
robotName: recording ? recording.recording_meta.name : 'Unknown Robot',
|
|
status: 'failed',
|
|
finishedAt: new Date().toLocaleString()
|
|
};
|
|
|
|
serverIo.of(run.browserId).emit('run-completed', failureSocketData);
|
|
serverIo.of('/queued-run').to(`user-${data.userId}`).emit('run-completed', failureSocketData);
|
|
} catch (socketError: any) {
|
|
logger.log('warn', `Failed to emit failure event in main catch: ${socketError.message}`);
|
|
}
|
|
|
|
capture('maxun-oss-run-created-manual', {
|
|
runId: data.runId,
|
|
user_id: data.userId,
|
|
created_at: new Date().toISOString(),
|
|
status: 'failed',
|
|
error_message: executionError.message,
|
|
partial_data_extracted: partialDataExtracted,
|
|
totalRowsExtracted: partialData?.totalSchemaItemsExtracted + partialData?.totalListItemsExtracted + partialData?.extractedScreenshotsCount || 0,
|
|
});
|
|
|
|
await destroyRemoteBrowser(browserId, data.userId);
|
|
logger.log('info', `Browser ${browserId} destroyed after failed run`);
|
|
|
|
return { success: false, partialDataExtracted };
|
|
}
|
|
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Failed to process run execution job: ${errorMessage}`);
|
|
|
|
try {
|
|
const run = await Run.findOne({ where: { runId: data.runId }});
|
|
|
|
if (run) {
|
|
await run.update({
|
|
status: 'failed',
|
|
finishedAt: new Date().toLocaleString(),
|
|
log: `Failed: ${errorMessage}`,
|
|
});
|
|
|
|
const recording = await Robot.findOne({ where: { 'recording_meta.id': run.robotMetaId }, raw: true });
|
|
|
|
const failedWebhookPayload = {
|
|
robot_id: run.robotMetaId,
|
|
run_id: data.runId,
|
|
robot_name: recording ? recording.recording_meta.name : 'Unknown Robot',
|
|
status: 'failed',
|
|
started_at: run.startedAt,
|
|
finished_at: new Date().toLocaleString(),
|
|
error: {
|
|
message: errorMessage,
|
|
},
|
|
metadata: {
|
|
browser_id: run.browserId,
|
|
user_id: data.userId,
|
|
}
|
|
};
|
|
|
|
try {
|
|
await sendWebhook(run.robotMetaId, 'run_failed', failedWebhookPayload);
|
|
logger.log('info', `Failure webhooks sent successfully for run ${data.runId}`);
|
|
} catch (webhookError: any) {
|
|
logger.log('error', `Failed to send failure webhooks for run ${data.runId}: ${webhookError.message}`);
|
|
}
|
|
|
|
try {
|
|
const failureSocketData = {
|
|
runId: data.runId,
|
|
robotMetaId: run.robotMetaId,
|
|
robotName: recording ? recording.recording_meta.name : 'Unknown Robot',
|
|
status: 'failed',
|
|
finishedAt: new Date().toLocaleString()
|
|
};
|
|
|
|
serverIo.of(run.browserId).emit('run-completed', failureSocketData);
|
|
serverIo.of('/queued-run').to(`user-${data.userId}`).emit('run-completed', failureSocketData);
|
|
} catch (socketError: any) {
|
|
logger.log('warn', `Failed to emit failure event in main catch: ${socketError.message}`);
|
|
}
|
|
}
|
|
} catch (updateError: any) {
|
|
logger.log('error', `Failed to update run status: ${updateError.message}`);
|
|
}
|
|
|
|
return { success: false };
|
|
}
|
|
}
|
|
|
|
async function abortRun(runId: string, userId: string): Promise<boolean> {
|
|
try {
|
|
const run = await Run.findOne({ where: { runId: runId } });
|
|
|
|
if (!run) {
|
|
logger.log('warn', `Run ${runId} not found or does not belong to user ${userId}`);
|
|
return false;
|
|
}
|
|
|
|
await run.update({
|
|
status: 'aborting'
|
|
});
|
|
|
|
const plainRun = run.toJSON();
|
|
|
|
const recording = await Robot.findOne({
|
|
where: { 'recording_meta.id': plainRun.robotMetaId },
|
|
raw: true
|
|
});
|
|
|
|
const robotName = recording?.recording_meta?.name || 'Unknown Robot';
|
|
|
|
let browser;
|
|
try {
|
|
browser = browserPool.getRemoteBrowser(plainRun.browserId);
|
|
} catch (browserError) {
|
|
logger.log('warn', `Could not get browser for run ${runId}: ${browserError}`);
|
|
browser = null;
|
|
}
|
|
|
|
if (!browser) {
|
|
await run.update({
|
|
status: 'aborted',
|
|
finishedAt: new Date().toLocaleString(),
|
|
log: 'Aborted: Browser not found or already closed'
|
|
});
|
|
|
|
try {
|
|
serverIo.of(plainRun.browserId).emit('run-aborted', {
|
|
runId,
|
|
robotName: robotName,
|
|
status: 'aborted',
|
|
finishedAt: new Date().toLocaleString()
|
|
});
|
|
} catch (socketError) {
|
|
logger.log('warn', `Failed to emit run-aborted event: ${socketError}`);
|
|
}
|
|
|
|
logger.log('warn', `Browser not found for run ${runId}`);
|
|
return true;
|
|
}
|
|
|
|
let currentLog = 'Run aborted by user';
|
|
const extractedData = await extractAndProcessScrapedData(browser, run);
|
|
|
|
console.log(`Total Data Points Extracted in aborted run: ${extractedData.totalDataPointsExtracted}`);
|
|
|
|
await run.update({
|
|
status: 'aborted',
|
|
finishedAt: new Date().toLocaleString(),
|
|
browserId: plainRun.browserId,
|
|
log: currentLog,
|
|
serializableOutput: {
|
|
scrapeSchema: Object.values(extractedData.categorizedOutput.scrapeSchema),
|
|
scrapeList: Object.values(extractedData.categorizedOutput.scrapeList),
|
|
},
|
|
binaryOutput: extractedData.uploadedBinaryOutput,
|
|
});
|
|
|
|
if (extractedData.totalDataPointsExtracted > 0) {
|
|
await triggerIntegrationUpdates(runId, plainRun.robotMetaId);
|
|
}
|
|
|
|
try {
|
|
serverIo.of(plainRun.browserId).emit('run-aborted', {
|
|
runId,
|
|
robotName: robotName,
|
|
status: 'aborted',
|
|
finishedAt: new Date().toLocaleString()
|
|
});
|
|
} catch (socketError) {
|
|
logger.log('warn', `Failed to emit run-aborted event: ${socketError}`);
|
|
}
|
|
|
|
try {
|
|
await new Promise(resolve => setTimeout(resolve, 500));
|
|
|
|
await destroyRemoteBrowser(plainRun.browserId, userId);
|
|
logger.log('info', `Browser ${plainRun.browserId} destroyed successfully after abort`);
|
|
} catch (cleanupError) {
|
|
logger.log('warn', `Failed to clean up browser for aborted run ${runId}: ${cleanupError}`);
|
|
}
|
|
|
|
return true;
|
|
} catch (error) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Failed to abort run ${runId}: ${errorMessage}`);
|
|
return false;
|
|
}
|
|
}
|
|
|
|
async function registerRunExecutionWorker() {
|
|
try {
|
|
const registeredUserQueues = new Map();
|
|
|
|
// Worker for executing runs (Legacy)
|
|
await pgBoss.work('execute-run', async (job: Job<ExecuteRunData> | Job<ExecuteRunData>[]) => {
|
|
try {
|
|
const singleJob = Array.isArray(job) ? job[0] : job;
|
|
return await processRunExecution(singleJob);
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Run execution job failed: ${errorMessage}`);
|
|
throw error;
|
|
}
|
|
});
|
|
|
|
const checkForNewUserQueues = async () => {
|
|
try {
|
|
const activeQueues = await pgBoss.getQueues();
|
|
|
|
const userQueues = activeQueues.filter(q => q.name.startsWith('execute-run-user-'));
|
|
|
|
for (const queue of userQueues) {
|
|
if (!registeredUserQueues.has(queue.name)) {
|
|
await pgBoss.work(queue.name, async (job: Job<ExecuteRunData> | Job<ExecuteRunData>[]) => {
|
|
try {
|
|
const singleJob = Array.isArray(job) ? job[0] : job;
|
|
return await processRunExecution(singleJob);
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Run execution job failed in ${queue.name}: ${errorMessage}`);
|
|
throw error;
|
|
}
|
|
});
|
|
|
|
registeredUserQueues.set(queue.name, true);
|
|
logger.log('info', `Registered worker for queue: ${queue.name}`);
|
|
}
|
|
}
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Failed to check for new user queues: ${errorMessage}`);
|
|
}
|
|
};
|
|
|
|
await checkForNewUserQueues();
|
|
|
|
logger.log('info', 'Run execution worker registered successfully');
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Failed to register run execution worker: ${errorMessage}`);
|
|
}
|
|
}
|
|
|
|
async function registerAbortRunWorker() {
|
|
try {
|
|
const registeredAbortQueues = new Map();
|
|
|
|
const checkForNewAbortQueues = async () => {
|
|
try {
|
|
const activeQueues = await pgBoss.getQueues();
|
|
|
|
const abortQueues = activeQueues.filter(q => q.name.startsWith('abort-run-user-'));
|
|
|
|
for (const queue of abortQueues) {
|
|
if (!registeredAbortQueues.has(queue.name)) {
|
|
await pgBoss.work(queue.name, async (job: Job<AbortRunData> | Job<AbortRunData>[]) => {
|
|
try {
|
|
const data = extractJobData(job);
|
|
const { userId, runId } = data;
|
|
|
|
logger.log('info', `Processing abort request for run ${runId} by user ${userId}`);
|
|
const success = await abortRun(runId, userId);
|
|
return { success };
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Abort run job failed in ${queue.name}: ${errorMessage}`);
|
|
throw error;
|
|
}
|
|
});
|
|
|
|
registeredAbortQueues.set(queue.name, true);
|
|
logger.log('info', `Registered abort worker for queue: ${queue.name}`);
|
|
}
|
|
}
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Failed to check for new abort queues: ${errorMessage}`);
|
|
}
|
|
};
|
|
|
|
await checkForNewAbortQueues();
|
|
|
|
logger.log('info', 'Abort run worker registration system initialized');
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Failed to initialize abort run worker system: ${errorMessage}`);
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Initialize PgBoss and register all workers
|
|
*/
|
|
async function startWorkers() {
|
|
try {
|
|
logger.log('info', 'Starting PgBoss worker...');
|
|
await pgBoss.start();
|
|
logger.log('info', 'PgBoss worker started successfully');
|
|
|
|
// Worker for initializing browser recording
|
|
await pgBoss.work('initialize-browser-recording', async (job: Job<InitializeBrowserData> | Job<InitializeBrowserData>[]) => {
|
|
try {
|
|
const data = extractJobData(job);
|
|
const userId = data.userId;
|
|
|
|
logger.log('info', `Starting browser initialization job for user: ${userId}`);
|
|
const browserId = initializeRemoteBrowserForRecording(userId);
|
|
logger.log('info', `Browser recording job completed with browserId: ${browserId}`);
|
|
return { browserId };
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Browser recording job failed: ${errorMessage}`);
|
|
throw error;
|
|
}
|
|
});
|
|
|
|
// Worker for stopping a browser
|
|
await pgBoss.work('destroy-browser', async (job: Job<DestroyBrowserData> | Job<DestroyBrowserData>[]) => {
|
|
try {
|
|
const data = extractJobData(job);
|
|
const { browserId, userId } = data;
|
|
|
|
logger.log('info', `Starting browser destruction job for browser: ${browserId}`);
|
|
const success = await destroyRemoteBrowser(browserId, userId);
|
|
logger.log('info', `Browser destruction job completed with result: ${success}`);
|
|
return { success };
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Destroy browser job failed: ${errorMessage}`);
|
|
throw error;
|
|
}
|
|
});
|
|
|
|
// Worker for interpreting workflow
|
|
await pgBoss.work('interpret-workflow', async (job: Job<InterpretWorkflow> | Job<InterpretWorkflow>[]) => {
|
|
try {
|
|
const data = extractJobData(job);
|
|
const userId = data.userId;
|
|
|
|
logger.log('info', 'Starting workflow interpretation job');
|
|
await interpretWholeWorkflow(userId);
|
|
logger.log('info', 'Workflow interpretation job completed');
|
|
return { success: true };
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Interpret workflow job failed: ${errorMessage}`);
|
|
throw error;
|
|
}
|
|
});
|
|
|
|
// Worker for stopping workflow interpretation
|
|
await pgBoss.work('stop-interpretation', async (job: Job<StopInterpretWorkflow> | Job<StopInterpretWorkflow>[]) => {
|
|
try {
|
|
const data = extractJobData(job);
|
|
const userId = data.userId;
|
|
|
|
logger.log('info', 'Starting stop interpretation job');
|
|
await stopRunningInterpretation(userId);
|
|
logger.log('info', 'Stop interpretation job completed');
|
|
return { success: true };
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Stop interpretation job failed: ${errorMessage}`);
|
|
throw error;
|
|
}
|
|
});
|
|
|
|
// Register the run execution worker
|
|
await registerRunExecutionWorker();
|
|
|
|
// Register the abort run worker
|
|
await registerAbortRunWorker();
|
|
|
|
logger.log('info', 'All recording workers registered successfully');
|
|
} catch (error: unknown) {
|
|
const errorMessage = error instanceof Error ? error.message : String(error);
|
|
logger.log('error', `Failed to start PgBoss workers: ${errorMessage}`);
|
|
process.exit(1);
|
|
}
|
|
}
|
|
|
|
// Start all workers
|
|
startWorkers();
|
|
|
|
pgBoss.on('error', (error) => {
|
|
logger.log('error', `PgBoss error: ${error.message}`);
|
|
});
|
|
|
|
// Handle graceful shutdown
|
|
process.on('SIGTERM', async () => {
|
|
logger.log('info', 'SIGTERM received, shutting down PgBoss...');
|
|
await pgBoss.stop();
|
|
process.exit(0);
|
|
});
|
|
|
|
process.on('SIGINT', async () => {
|
|
logger.log('info', 'SIGINT received, shutting down PgBoss...');
|
|
await pgBoss.stop();
|
|
process.exit(0);
|
|
});
|
|
|
|
// For use in other files
|
|
export { pgBoss };
|