open-nomad/ui/mirage/factories/task-group.js
Buck Doyle 31b4ed7a6d
Add DAS UI code from enterprise (#9192)
This is a few combined iterations on the DAS feature.
2020-10-29 07:46:42 -05:00

213 lines
6 KiB
JavaScript

import { Factory, trait } from 'ember-cli-mirage';
import faker from 'nomad-ui/mirage/faker';
import { provide } from '../utils';
import { generateResources } from '../common';
const DISK_RESERVATIONS = [200, 500, 1000, 2000, 5000, 10000, 100000];
export default Factory.extend({
name: id => `${faker.hacker.noun().dasherize()}-g-${id}`,
count: () => faker.random.number({ min: 1, max: 2 }),
ephemeralDisk: () => ({
Sticky: faker.random.boolean(),
SizeMB: faker.helpers.randomize(DISK_RESERVATIONS),
Migrate: faker.random.boolean(),
}),
noHostVolumes: trait({
volumes: () => ({}),
}),
withScaling: faker.random.boolean,
volumes: makeHostVolumes(),
// Directive used to control whether or not allocations are automatically
// created.
createAllocations: true,
// Directived used to control whether or not the allocation should fail
// and reschedule, creating reschedule events.
withRescheduling: false,
// Directive used to control whether the task group should have services.
withServices: false,
// Directive used to control whether dynamic application sizing recommendations
// should be created.
createRecommendations: false,
// When true, only creates allocations
shallow: false,
// When set, passed into tasks to set resource values
resourceSpec: null,
afterCreate(group, server) {
let taskIds = [];
let volumes = Object.keys(group.volumes);
if (group.withScaling) {
group.update({
scaling: {
Min: 1,
Max: 5,
Policy: faker.random.boolean() && {
EvaluationInterval: '10s',
Cooldown: '2m',
Check: {
avg_conn: {
Source: 'prometheus',
Query:
'scalar(avg((haproxy_server_current_sessions{backend="http_back"}) and (haproxy_server_up{backend="http_back"} == 1)))',
Strategy: {
'target-value': {
target: 20,
},
},
},
},
},
},
});
}
if (!group.shallow) {
const resources =
group.resourceSpec && divide(group.count, parseResourceSpec(group.resourceSpec));
const tasks = provide(group.count, (_, idx) => {
const mounts = faker.helpers
.shuffle(volumes)
.slice(0, faker.random.number({ min: 1, max: 3 }));
const maybeResources = {};
if (resources) {
maybeResources.originalResources = generateResources(resources[idx]);
}
return server.create('task', {
taskGroup: group,
...maybeResources,
volumeMounts: mounts.map(mount => ({
Volume: mount,
Destination: `/${faker.internet.userName()}/${faker.internet.domainWord()}/${faker.internet.color()}`,
PropagationMode: '',
ReadOnly: faker.random.boolean(),
})),
createRecommendations: group.createRecommendations,
});
});
taskIds = tasks.mapBy('id');
}
group.update({
taskIds: taskIds,
});
if (group.createAllocations) {
Array(group.count)
.fill(null)
.forEach((_, i) => {
const props = {
jobId: group.job.id,
namespace: group.job.namespace,
taskGroup: group.name,
name: `${group.name}.[${i}]`,
rescheduleSuccess: group.withRescheduling ? faker.random.boolean() : null,
rescheduleAttempts: group.withRescheduling
? faker.random.number({ min: 1, max: 5 })
: 0,
};
if (group.withRescheduling) {
server.create('allocation', 'rescheduled', props);
} else {
server.create('allocation', props);
}
});
}
if (group.withServices) {
Array(faker.random.number({ min: 1, max: 3 }))
.fill(null)
.forEach(() => {
server.create('service', {
taskGroup: group,
});
});
}
},
});
function makeHostVolumes() {
const generate = () => ({
Name: faker.internet.domainWord(),
Type: 'host',
Source: faker.internet.domainWord(),
ReadOnly: faker.random.boolean(),
});
const volumes = provide(faker.random.number({ min: 1, max: 5 }), generate);
return volumes.reduce((hash, volume) => {
hash[volume.Name] = volume;
return hash;
}, {});
}
function parseResourceSpec(spec) {
const mapping = {
M: 'MemoryMB',
C: 'CPU',
D: 'DiskMB',
I: 'IOPS',
};
const terms = spec.split(',').map(t => {
const [k, v] = t
.trim()
.split(':')
.map(kv => kv.trim());
return [k, +v];
});
return terms.reduce((hash, term) => {
hash[mapping[term[0]]] = term[1];
return hash;
}, {});
}
// Split a single resources object into N resource objects where
// the sum of each property of the new resources objects equals
// the original resources properties
// ex: divide(2, { Mem: 400, Cpu: 250 }) -> [{ Mem: 80, Cpu: 50 }, { Mem: 320, Cpu: 200 }]
function divide(count, resources) {
const wheel = roulette(1, count);
const ret = provide(count, (_, idx) => {
return Object.keys(resources).reduce((hash, key) => {
hash[key] = Math.round(resources[key] * wheel[idx]);
return hash;
}, {});
});
return ret;
}
// Roulette splits a number into N divisions
// Variance is a value between 0 and 1 that determines how much each division in
// size. At 0 each division is even, at 1, it's entirely random but the sum of all
// divisions is guaranteed to equal the total value.
function roulette(total, divisions, variance = 0.8) {
let roulette = new Array(divisions).fill(total / divisions);
roulette.forEach((v, i) => {
if (i === roulette.length - 1) return;
roulette.splice(i, 2, ...rngDistribute(roulette[i], roulette[i + 1], variance));
});
return roulette;
}
function rngDistribute(a, b, variance = 0.8) {
const move = a * faker.random.number({ min: 0, max: variance, precision: 0.01 });
return [a - move, b + move];
}