open-nomad/ui/mirage/factories/evaluation.js

118 lines
3.7 KiB
JavaScript

import Ember from 'ember';
import { Factory, faker, trait } from 'ember-cli-mirage';
import { provide, pickOne } from '../utils';
import { DATACENTERS } from '../common';
const EVAL_TYPES = ['system', 'service', 'batch'];
const EVAL_STATUSES = ['pending', 'complete', 'failed', 'canceled'];
const EVAL_TRIGGERED_BY = [
'job-register',
'job-deregister',
'periodic-job',
'node-update',
'scheduled',
'rolling-update',
'deployment-watcher',
'failed-follow-up',
'max-plan-attempts',
];
const generateCountMap = (keysCount, list) => () => {
const sample = Array(keysCount)
.fill(null)
.map(() => pickOne(list))
.uniq();
return sample.reduce((hash, key) => {
hash[key] = faker.random.number({ min: 1, max: 5 });
return hash;
}, {});
};
const generateNodesAvailable = generateCountMap(5, DATACENTERS);
const generateClassFiltered = generateCountMap(3, provide(10, faker.hacker.abbreviation));
const generateClassExhausted = generateClassFiltered;
const generateDimensionExhausted = generateCountMap(1, ['cpu', 'mem', 'disk', 'iops']);
const generateQuotaExhausted = generateDimensionExhausted;
const generateScores = generateCountMap(1, ['binpack', 'job-anti-affinity']);
const generateConstraintFiltered = generateCountMap(2, [
'prop = val',
'driver = docker',
'arch = x64',
]);
export default Factory.extend({
id: () => faker.random.uuid(),
priority: () => faker.random.number(100),
type: faker.list.random(...EVAL_TYPES),
triggeredBy: faker.list.random(...EVAL_TRIGGERED_BY),
status: faker.list.random(...EVAL_STATUSES),
statusDescription: () => faker.lorem.sentence(),
failedTGAllocs: null,
modifyIndex: () => faker.random.number({ min: 10, max: 2000 }),
waitUntil: null,
withPlacementFailures: trait({
status: 'blocked',
afterCreate(evaluation, server) {
assignJob(evaluation, server);
const taskGroups = server.db.taskGroups.where({ jobId: evaluation.jobId });
const taskGroupNames = taskGroups.mapBy('name');
const failedTaskGroupsCount = faker.random.number({ min: 1, max: taskGroupNames.length });
const failedTaskGroupNames = [];
for (let i = 0; i < failedTaskGroupsCount; i++) {
failedTaskGroupNames.push(
...taskGroupNames.splice(faker.random.number(taskGroupNames.length - 1), 1)
);
}
const placementFailures = failedTaskGroupNames.reduce((hash, name) => {
hash[name] = generateTaskGroupFailures();
return hash;
}, {});
evaluation.update({
failedTGAllocs: placementFailures,
});
},
}),
afterCreate(evaluation, server) {
assignJob(evaluation, server);
},
});
function assignJob(evaluation, server) {
Ember.assert(
'[Mirage] No jobs! make sure jobs are created before evaluations',
server.db.jobs.length
);
const job = evaluation.jobId ? server.db.jobs.find(evaluation.jobId) : pickOne(server.db.jobs);
evaluation.update({
jobId: job.id,
job_id: job.id,
});
}
export function generateTaskGroupFailures() {
return {
CoalescedFailures: faker.random.number({ min: 1, max: 20 }),
NodesEvaluated: faker.random.number({ min: 1, max: 100 }),
NodesExhausted: faker.random.number({ min: 1, max: 100 }),
NodesAvailable: Math.random() > 0.7 ? generateNodesAvailable() : null,
ClassFiltered: Math.random() > 0.7 ? generateClassFiltered() : null,
ConstraintFiltered: Math.random() > 0.7 ? generateConstraintFiltered() : null,
ClassExhausted: Math.random() > 0.7 ? generateClassExhausted() : null,
DimensionExhausted: Math.random() > 0.7 ? generateDimensionExhausted() : null,
QuotaExhausted: Math.random() > 0.7 ? generateQuotaExhausted() : null,
Scores: Math.random() > 0.7 ? generateScores() : null,
};
}