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63ba5e2fb7
Its usage is odd and it's not clear what it's doing.
121 lines
3.8 KiB
TypeScript
121 lines
3.8 KiB
TypeScript
import Redis from 'ioredis'
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import { Consumer, Kafka, KafkaMessage, logLevel, Partitioners, Producer } from 'kafkajs'
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import { Pool } from 'pg'
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import { v4 as uuidv4 } from 'uuid'
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import { defaultConfig } from '../src/config/config'
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import { getMetric } from './api'
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import { waitForExpect } from './expectations'
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let producer: Producer
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let postgres: Pool // NOTE: we use a Pool here but it's probably not necessary, but for instance `insertRow` uses a Pool.
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let kafka: Kafka
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let redis: Redis.Redis
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beforeAll(async () => {
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// Setup connections to kafka, clickhouse, and postgres
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postgres = new Pool({
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connectionString: defaultConfig.DATABASE_URL!,
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// We use a pool only for typings sake, but we don't actually need to,
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// so set max connections to 1.
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max: 1,
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})
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kafka = new Kafka({ brokers: [defaultConfig.KAFKA_HOSTS], logLevel: logLevel.NOTHING })
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producer = kafka.producer({ createPartitioner: Partitioners.DefaultPartitioner })
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await producer.connect()
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redis = new Redis(defaultConfig.REDIS_URL)
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})
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afterAll(async () => {
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await Promise.all([producer.disconnect(), postgres.end(), redis.disconnect()])
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})
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// Test out some error cases that we wouldn't be able to handle without
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// producing to the jobs queue directly.
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let dlq: KafkaMessage[]
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let dlqConsumer: Consumer
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beforeAll(async () => {
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dlq = []
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dlqConsumer = kafka.consumer({ groupId: 'jobs-consumer-test' })
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await dlqConsumer.subscribe({ topic: 'jobs_dlq' })
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await dlqConsumer.run({
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eachMessage: ({ message }) => {
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dlq.push(message)
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return Promise.resolve()
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},
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})
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})
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afterAll(async () => {
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await dlqConsumer.disconnect()
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})
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test.concurrent(`handles empty messages`, async () => {
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const key = uuidv4()
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await producer.send({
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topic: 'jobs',
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messages: [
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{
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key: key,
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value: null,
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},
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],
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})
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await waitForExpect(() => {
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const messages = dlq.filter((message) => message.key?.toString() === key)
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expect(messages.length).toBe(1)
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})
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})
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test.concurrent(`handles invalid JSON`, async () => {
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const key = uuidv4()
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await producer.send({
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topic: 'jobs',
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messages: [
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{
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key: key,
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value: 'invalid json',
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},
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],
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})
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await waitForExpect(() => {
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const messages = dlq.filter((message) => message.key?.toString() === key)
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expect(messages.length).toBe(1)
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})
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})
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test.concurrent('consumer updates timestamp exported to prometheus', async () => {
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// NOTE: it may be another event other than the one we emit here that causes
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// the gauge to increase, but pushing this event through should at least
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// ensure that the gauge is updated.
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const metricBefore = await getMetric({
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name: 'latest_processed_timestamp_ms',
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type: 'GAUGE',
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labels: { topic: 'jobs', partition: '0', groupId: 'jobs-inserter' },
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})
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await producer.send({
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topic: 'jobs',
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// NOTE: we don't actually care too much about the contents of the
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// message, just that it triggeres the consumer to try to process it.
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messages: [{ key: '', value: '' }],
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})
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await waitForExpect(async () => {
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const metricAfter = await getMetric({
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name: 'latest_processed_timestamp_ms',
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type: 'GAUGE',
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labels: { topic: 'jobs', partition: '0', groupId: 'jobs-inserter' },
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})
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expect(metricAfter).toBeGreaterThan(metricBefore)
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expect(metricAfter).toBeLessThan(Date.now()) // Make sure, e.g. we're not setting micro seconds
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expect(metricAfter).toBeGreaterThan(Date.now() - 60_000) // Make sure, e.g. we're not setting seconds
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}, 10_000)
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})
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