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814ea5185c
* Fix typo, add v1.1 * Add parallel processing * Add versioning * Improve description for maximum inflight requests --------- Co-authored-by: Michael Kret <michael.k@radency.com>
320 lines
8.6 KiB
TypeScript
320 lines
8.6 KiB
TypeScript
import type { KafkaConfig, SASLOptions } from 'kafkajs';
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import { Kafka as apacheKafka, logLevel } from 'kafkajs';
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import { SchemaRegistry } from '@kafkajs/confluent-schema-registry';
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import type {
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ITriggerFunctions,
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IDataObject,
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INodeType,
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INodeTypeDescription,
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ITriggerResponse,
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IRun,
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} from 'n8n-workflow';
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import { createDeferredPromise, NodeOperationError } from 'n8n-workflow';
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export class KafkaTrigger implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Kafka Trigger',
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name: 'kafkaTrigger',
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icon: 'file:kafka.svg',
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group: ['trigger'],
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version: [1, 1.1],
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description: 'Consume messages from a Kafka topic',
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defaults: {
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name: 'Kafka Trigger',
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},
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inputs: [],
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outputs: ['main'],
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credentials: [
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{
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name: 'kafka',
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required: true,
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},
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],
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properties: [
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{
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displayName: 'Topic',
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name: 'topic',
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type: 'string',
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default: '',
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required: true,
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placeholder: 'topic-name',
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description: 'Name of the queue of topic to consume from',
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},
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{
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displayName: 'Group ID',
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name: 'groupId',
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type: 'string',
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default: '',
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required: true,
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placeholder: 'n8n-kafka',
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description: 'ID of the consumer group',
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},
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{
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displayName: 'Use Schema Registry',
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name: 'useSchemaRegistry',
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type: 'boolean',
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default: false,
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description: 'Whether to use Confluent Schema Registry',
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},
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{
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displayName: 'Schema Registry URL',
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name: 'schemaRegistryUrl',
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type: 'string',
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required: true,
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displayOptions: {
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show: {
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useSchemaRegistry: [true],
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},
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},
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placeholder: 'https://schema-registry-domain:8081',
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default: '',
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description: 'URL of the schema registry',
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},
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{
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displayName: 'Options',
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name: 'options',
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type: 'collection',
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default: {},
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placeholder: 'Add Option',
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options: [
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{
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displayName: 'Allow Topic Creation',
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name: 'allowAutoTopicCreation',
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type: 'boolean',
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default: false,
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description: 'Whether to allow sending message to a previously non exisiting topic',
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},
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{
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displayName: 'Auto Commit Threshold',
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name: 'autoCommitThreshold',
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type: 'number',
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default: 0,
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description:
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'The consumer will commit offsets after resolving a given number of messages',
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},
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{
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displayName: 'Auto Commit Interval',
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name: 'autoCommitInterval',
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type: 'number',
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default: 0,
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description:
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'The consumer will commit offsets after a given period, for example, five seconds',
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hint: 'Value in milliseconds',
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},
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{
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displayName: 'Heartbeat Interval',
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name: 'heartbeatInterval',
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type: 'number',
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default: 3000,
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description: "Heartbeats are used to ensure that the consumer's session stays active",
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hint: 'The value must be set lower than Session Timeout',
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},
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{
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displayName: 'Max Number of Requests',
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name: 'maxInFlightRequests',
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type: 'number',
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default: 1,
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description:
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'The maximum number of unacknowledged requests the client will send on a single connection',
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},
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{
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displayName: 'Read Messages From Beginning',
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name: 'fromBeginning',
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type: 'boolean',
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default: true,
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description: 'Whether to read message from beginning',
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},
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{
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displayName: 'JSON Parse Message',
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name: 'jsonParseMessage',
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type: 'boolean',
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default: false,
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description: 'Whether to try to parse the message to an object',
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},
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{
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displayName: 'Parallel Processing',
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name: 'parallelProcessing',
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type: 'boolean',
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default: true,
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displayOptions: {
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hide: {
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'@version': [1],
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},
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},
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description:
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'Whether to process messages in parallel or by keeping the message in order',
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},
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{
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displayName: 'Only Message',
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name: 'onlyMessage',
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type: 'boolean',
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displayOptions: {
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show: {
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jsonParseMessage: [true],
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},
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},
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default: false,
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description: 'Whether to return only the message property',
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},
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{
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displayName: 'Return Headers',
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name: 'returnHeaders',
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type: 'boolean',
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default: false,
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description: 'Whether to return the headers received from Kafka',
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},
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{
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displayName: 'Session Timeout',
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name: 'sessionTimeout',
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type: 'number',
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default: 30000,
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description: 'The time to await a response in ms',
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hint: 'Value in milliseconds',
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},
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],
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},
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],
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};
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async trigger(this: ITriggerFunctions): Promise<ITriggerResponse> {
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const topic = this.getNodeParameter('topic') as string;
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const groupId = this.getNodeParameter('groupId') as string;
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const credentials = await this.getCredentials('kafka');
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const brokers = ((credentials.brokers as string) || '').split(',').map((item) => item.trim());
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const clientId = credentials.clientId as string;
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const ssl = credentials.ssl as boolean;
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const options = this.getNodeParameter('options', {}) as IDataObject;
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options.nodeVersion = this.getNode().typeVersion;
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const config: KafkaConfig = {
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clientId,
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brokers,
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ssl,
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logLevel: logLevel.ERROR,
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};
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if (credentials.authentication === true) {
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if (!(credentials.username && credentials.password)) {
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throw new NodeOperationError(
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this.getNode(),
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'Username and password are required for authentication',
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);
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}
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config.sasl = {
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username: credentials.username as string,
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password: credentials.password as string,
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mechanism: credentials.saslMechanism as string,
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} as SASLOptions;
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}
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const kafka = new apacheKafka(config);
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const maxInFlightRequests = (
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this.getNodeParameter('options.maxInFlightRequests', null) === 0
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? null
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: this.getNodeParameter('options.maxInFlightRequests', null)
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) as number;
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const consumer = kafka.consumer({
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groupId,
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maxInFlightRequests,
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sessionTimeout: this.getNodeParameter('options.sessionTimeout', 30000) as number,
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heartbeatInterval: this.getNodeParameter('options.heartbeatInterval', 3000) as number,
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});
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const parallelProcessing = options.parallelProcessing as boolean;
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await consumer.connect();
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await consumer.subscribe({ topic, fromBeginning: options.fromBeginning ? true : false });
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const useSchemaRegistry = this.getNodeParameter('useSchemaRegistry', 0) as boolean;
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const schemaRegistryUrl = this.getNodeParameter('schemaRegistryUrl', 0) as string;
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const startConsumer = async () => {
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await consumer.run({
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autoCommitInterval: (options.autoCommitInterval as number) || null,
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autoCommitThreshold: (options.autoCommitThreshold as number) || null,
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eachMessage: async ({ topic: messageTopic, message }) => {
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let data: IDataObject = {};
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let value = message.value?.toString() as string;
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if (options.jsonParseMessage) {
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try {
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value = JSON.parse(value);
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} catch (error) {}
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}
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if (useSchemaRegistry) {
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try {
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const registry = new SchemaRegistry({ host: schemaRegistryUrl });
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value = await registry.decode(message.value as Buffer);
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} catch (error) {}
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}
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if (options.returnHeaders && message.headers) {
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const headers: { [key: string]: string } = {};
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for (const key of Object.keys(message.headers)) {
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const header = message.headers[key];
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headers[key] = header?.toString('utf8') || '';
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}
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data.headers = headers;
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}
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data.message = value;
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data.topic = messageTopic;
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if (options.onlyMessage) {
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//@ts-ignore
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data = value;
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}
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let responsePromise = undefined;
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if (!parallelProcessing && (options.nodeVersion as number) > 1) {
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responsePromise = await createDeferredPromise<IRun>();
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this.emit([this.helpers.returnJsonArray([data])], undefined, responsePromise);
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} else {
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this.emit([this.helpers.returnJsonArray([data])]);
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}
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if (responsePromise) {
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await responsePromise.promise();
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}
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},
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});
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};
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await startConsumer();
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// The "closeFunction" function gets called by n8n whenever
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// the workflow gets deactivated and can so clean up.
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async function closeFunction() {
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await consumer.disconnect();
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}
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// The "manualTriggerFunction" function gets called by n8n
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// when a user is in the workflow editor and starts the
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// workflow manually. So the function has to make sure that
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// the emit() gets called with similar data like when it
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// would trigger by itself so that the user knows what data
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// to expect.
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async function manualTriggerFunction() {
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await startConsumer();
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}
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return {
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closeFunction,
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manualTriggerFunction,
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};
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}
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}
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