Files
parcer/server/src/workflow-management/scheduler/index.ts
karishmas6 4298be2127 chore: lint
2024-09-11 13:47:03 +05:30

96 lines
3.2 KiB
TypeScript

import { Queue, Worker } from 'bullmq';
import IORedis from 'ioredis';
import { deleteFile, readFile, readFiles, saveFile } from "../storage";
import { createRemoteBrowserForRun, destroyRemoteBrowser } from '../../browser-management/controller';
import logger from '../../logger';
import { browserPool } from "../../server";
import fs from "fs";
const connection = new IORedis({
host: 'localhost',
port: 6379,
maxRetriesPerRequest: null,
});
connection.on('connect', () => {
console.log('Connected to Redis!');
});
connection.on('error', (err) => {
console.error('Redis connection error:', err);
});
const workflowQueue = new Queue('workflow', { connection });
export const worker = new Worker('workflow', async job => {
const { fileName, runId } = job.data;
try {
const result = await runWorkflow(fileName, runId);
return result;
} catch (error) {
console.error('Error running workflow:', error);
throw error;
}
}, { connection });
worker.on('completed', (job: any) => {
console.log(`Job ${job.id} completed for ${job.data.fileName}_${job.data.runId}`);
});
worker.on('failed', (job: any, err) => {
console.error(`Job ${job.id} failed for ${job.data.fileName}_${job.data.runId}:`, err);
});
async function runWorkflow(fileName: any, runId: any) {
try {
// read the recording from storage
const recording = await readFile(`./../storage/recordings/${fileName}.waw.json`);
const parsedRecording = JSON.parse(recording);
// read the run from storage
const run = await readFile(`./../storage/runs/${fileName}_${runId}.json`);
const parsedRun = JSON.parse(run);
// interpret the run in active browser
const browser = browserPool.getRemoteBrowser(parsedRun.browserId);
const currentPage = browser?.getCurrentPage();
if (browser && currentPage) {
const interpretationInfo = await browser.interpreter.InterpretRecording(
parsedRecording.recording, currentPage, parsedRun.interpreterSettings);
const duration = Math.round((new Date().getTime() - new Date(parsedRun.startedAt).getTime()) / 1000);
const durString = (() => {
if (duration < 60) {
return `${duration} s`;
}
else {
const minAndS = (duration / 60).toString().split('.');
return `${minAndS[0]} m ${minAndS[1]} s`;
}
})();
await destroyRemoteBrowser(parsedRun.browserId);
const run_meta = {
...parsedRun,
status: interpretationInfo.result,
finishedAt: new Date().toLocaleString(),
duration: durString,
browserId: null,
log: interpretationInfo.log.join('\n'),
serializableOutput: interpretationInfo.serializableOutput,
binaryOutput: interpretationInfo.binaryOutput,
};
fs.mkdirSync('../storage/runs', { recursive: true });
await saveFile(
`../storage/runs/${parsedRun.name}_${runId}.json`,
JSON.stringify(run_meta, null, 2)
);
return true;
} else {
throw new Error('Could not destroy browser');
}
} catch (e) {
const { message } = e as Error;
logger.log('info', `Error while running a recording with name: ${fileName}_${runId}.json`);
return false;
}
}
export { workflowQueue, runWorkflow };