@oada/jobs
A library for oada job based microservices
Last updated 16 days ago by aultac .
Apache-2.0 · Repository · Bugs · Original npm · Tarball · package.json
$ cnpm install @oada/jobs 
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@oada/oada-jobs

A library that abstracts away managing an OADA services job queue.

Install

$ yarn add @oada/oada-jobs

Notes / Todos

  1. Only use unversioned links in job queues (which is really what you want anyway). It is a TODO to deal with change notifications other than merging and deleting links into the queue.
  2. The promise your work function returns should implement the cancel method to have job timeouts work as expected. If a promise is timed out, but the work function continues, the job will still be moved to jobs-failure and the status set to failure. However; updates from the work function that occur after the timeout will still be committed. The result of the work function is lost.
  3. Add a list of resources which should have the jobs linked to in their meta at completion. This is a side effect, but often useful.

Basic usage

const apiKey = process.env.apiKey;
assert(apiKey, 'set ENV `apiKey` to the service sendgrid API key');
import { config } from 'dotenv';
import debug from 'debug';

import { Service, Json } from '@oada/jobs';

config();
const domain = process.env.domain;
assert(domain, 'Set ENV `domain` to domain storing the service configuration');
const token = process.env.token;
assert(token, 'Set ENV `token` to the service token');

const info = debug('service-name:info');

// Allow up to 10 in-flight OADA requests at once
const service = new Service('service-name', domain, token, 10);

// Run work function on all "email" type jobs. Timeout in 10 seconds.
service.on(
  'email',
  10 * 1000,
  async (job, { jobId, log, oada }): Promise<Json> => {
    info(`[Job ${jobId}] μservice triggered`);

    log.info('started', 'Job started');
    const config = job.config;

    assertConfig(config);
    log.trace('confirmed', 'Job config confirmed');

    info(`[Job ${jobId}] Doing work`);
    log.debug('working', 'Working');

    // `oada` already has the correct token loaded
    const r = await oada.get({
      path: `/bookmarks/thing`,
    });

    return { coolThing: r.data.thing };
  }
);

service.start().catch((e: unknown) => {
  console.error(e);
});

Configuring queues

Service queues configuration lives at /bookmarks/services/<service-name/queueus with the service token (process.env.token from the example above). To tell @oada/jobs to watch a queue POST something like:

{
  "domain": "oada.example.org",
  "token": "jfdjxkfassr3423544511243fzdgsd"
}

To stop watching a queue, DELETE the queue object in the queues list DELETE /bookmarks/services/<service-name>/queues/<queue-id>.

Adding jobs

@oada/jobs will call the registered work function for the type of any job added to one of its queues. The return value is stored on the job object. Any logged value is stored on the job object. When the work function returns, the job will be moved to the jobs-success or jobs-failure lists.

Be sure to set the OADA_JOBS_LOGGING environmental variable if you want to log "debug" and/or "trace" logs.

Batch jobs

It seems unlikely @oada/jobs can reasonable manage "batch" jobs for you -- its not clear there is a single "correct" batch management.

However, one COULD imagine something like:

  Service.getJobs(type: string, batchWork: (queueId: QueueId, jobs: Array<{job: Job, context: WorkerContext}>) => Promise<Json>)`

This would be used in place of Service.on(type, work).

The implementor of a batch service would need to develop a work function processes all Jobs in jobs at once, uses the WorkerContext to update each job, and then result a overall result which will be applied to all jobs in the batch.

The service would need to schedule calls to getJobs however it sees fit.

General idea

The Service class manages the overall service. You register work functions of certain job types with it. The Service class watches a list of service queues (/bookmarks/services/<service-name>/queues) using the service token. Each queue item (a domain and token) results in a Queue class.

The Queue class watches a particular job queue (/bookmarks/services/<service-name>/jobs) using the associated token from the Service queue list. Each job that created results in a Runner class.

The Runner class is sort of like a Promise for an OADA job. It runs the work function and maintains the Job's state in the OADA store. Note, the OADAClient that Runner provides to the work function is already adjusted for the correct token. The work function should just use the OADAClient without regard for the token.

Some other useful classes:

Logger -- Given to the work function. This exposes methods to add updates to the Job object in the OADA store. Set OADA_JOBS_LOGGING to something like "debug,trace" to enable the debug and trace logs, respectively.

Job -- Given to the work function. Stores the job type, config, etc.

Current Tags

  • 2.0.2                                ...           latest (16 days ago)

10 Versions

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