mirror of
https://github.com/n8n-io/n8n.git
synced 2024-11-16 01:24:05 -08:00
520 lines
12 KiB
TypeScript
520 lines
12 KiB
TypeScript
import {
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IExecuteFunctions,
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} from 'n8n-core';
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import {
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IBinaryKeyData,
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IDataObject,
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INodeExecutionData,
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INodeType,
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INodeTypeDescription,
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NodeApiError,
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NodeOperationError,
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} from 'n8n-workflow';
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import {
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awsApiRequestREST,
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keysTPascalCase,
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} from './GenericFunctions';
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export class AwsRekognition implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'AWS Rekognition',
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name: 'awsRekognition',
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icon: 'file:rekognition.svg',
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group: ['output'],
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version: 1,
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subtitle: '={{$parameter["operation"] + ": " + $parameter["resource"]}}',
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description: 'Sends data to AWS Rekognition',
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defaults: {
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name: 'AWS Rekognition',
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},
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inputs: ['main'],
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outputs: ['main'],
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credentials: [
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{
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name: 'aws',
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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: 'Resource',
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name: 'resource',
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type: 'options',
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noDataExpression: true,
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options: [
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{
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name: 'Image',
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value: 'image',
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},
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],
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default: 'image',
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},
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{
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displayName: 'Operation',
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name: 'operation',
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type: 'options',
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noDataExpression: true,
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options: [
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{
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name: 'Analyze',
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value: 'analyze',
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},
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],
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default: 'analyze',
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},
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{
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displayName: 'Type',
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name: 'type',
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type: 'options',
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displayOptions: {
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show: {
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operation: [
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'analyze',
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],
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resource: [
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'image',
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],
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},
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},
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options: [
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{
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name: 'Detect Faces',
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value: 'detectFaces',
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},
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{
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name: 'Detect Labels',
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value: 'detectLabels',
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},
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{
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name: 'Detect Moderation Labels',
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value: 'detectModerationLabels',
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},
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{
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name: 'Detect Text',
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value: 'detectText',
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},
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{
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name: 'Recognize Celebrity',
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value: 'recognizeCelebrity',
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},
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],
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default: 'detectFaces',
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},
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{
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displayName: 'Binary Data',
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name: 'binaryData',
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type: 'boolean',
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default: false,
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required: true,
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displayOptions: {
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show: {
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operation: [
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'analyze',
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],
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resource: [
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'image',
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],
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},
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},
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description: 'Whether the image to analize should be taken from binary field',
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},
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{
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displayName: 'Binary Property',
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displayOptions: {
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show: {
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operation: [
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'analyze',
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],
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resource: [
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'image',
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],
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binaryData: [
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true,
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],
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},
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},
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name: 'binaryPropertyName',
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type: 'string',
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default: 'data',
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description: 'Object property name which holds binary data',
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required: true,
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},
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{
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displayName: 'Bucket',
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name: 'bucket',
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displayOptions: {
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show: {
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operation: [
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'analyze',
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],
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resource: [
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'image',
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],
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binaryData: [
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false,
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],
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},
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},
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type: 'string',
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default: '',
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required: true,
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description: 'Name of the S3 bucket',
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},
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{
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displayName: 'Name',
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name: 'name',
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displayOptions: {
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show: {
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operation: [
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'analyze',
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],
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resource: [
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'image',
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],
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binaryData: [
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false,
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],
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},
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},
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type: 'string',
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default: '',
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required: true,
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description: 'S3 object key name',
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},
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{
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displayName: 'Additional Fields',
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name: 'additionalFields',
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type: 'collection',
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placeholder: 'Add Field',
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displayOptions: {
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show: {
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operation: [
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'analyze',
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],
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resource: [
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'image',
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],
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},
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},
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default: {},
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options: [
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{
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displayName: 'Regions of Interest',
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name: 'regionsOfInterestUi',
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type: 'fixedCollection',
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default: {},
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placeholder: 'Add Region of Interest',
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displayOptions: {
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show: {
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'/type': [
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'detectText',
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],
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},
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},
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typeOptions: {
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multipleValues: true,
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},
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options: [
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{
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name: 'regionsOfInterestValues',
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displayName: 'Region of Interest',
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values: [
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{
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displayName: 'Height',
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name: 'height',
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type: 'number',
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description: 'Height of the bounding box as a ratio of the overall image height',
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default: 0,
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},
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{
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displayName: 'Left',
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name: 'left',
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type: 'number',
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description: 'Left coordinate of the bounding box as a ratio of overall image width',
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default: 0,
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},
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{
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displayName: 'Top',
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name: 'top',
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type: 'number',
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description: 'Top coordinate of the bounding box as a ratio of overall image height',
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default: 0,
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},
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{
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displayName: 'Width',
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name: 'Width',
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type: 'number',
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description: 'Width of the bounding box as a ratio of the overall image width',
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default: 0,
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},
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],
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},
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],
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},
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{
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displayName: 'Version',
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name: 'version',
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displayOptions: {
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show: {
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'/binaryData': [
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false,
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],
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},
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},
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type: 'string',
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default: '',
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description: 'If the bucket is versioning enabled, you can specify the object version',
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},
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{
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displayName: 'Word Filter',
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name: 'wordFilterUi',
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type: 'collection',
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default: {},
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placeholder: 'Add Word Filter',
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displayOptions: {
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show: {
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'/type': [
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'detectText',
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],
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},
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},
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typeOptions: {
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multipleValues: false,
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},
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options: [
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{
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displayName: 'Min Bounding Box Height',
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name: 'MinBoundingBoxHeight',
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type: 'number',
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description: 'Sets the minimum height of the word bounding box. Words with bounding box heights lesser than this value will be excluded from the result. Value is relative to the video frame height.',
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default: 0,
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},
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{
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displayName: 'Min Bounding Box Width',
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name: 'MinBoundingBoxWidth',
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type: 'number',
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description: 'Sets the minimum width of the word bounding box. Words with bounding boxes widths lesser than this value will be excluded from the result. Value is relative to the video frame width.',
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default: 0,
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},
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{
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displayName: 'Min Confidence',
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name: 'MinConfidence',
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type: 'number',
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description: 'Sets the confidence of word detection. Words with detection confidence below this will be excluded from the result. Values should be between 50 and 100 as Text in Video will not return any result below 50.',
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default: 0,
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},
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],
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},
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{
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displayName: 'Max Labels',
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name: 'maxLabels',
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type: 'number',
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displayOptions: {
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show: {
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'/type': [
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'detectModerationLabels',
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'detectLabels',
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],
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},
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},
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default: 0,
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typeOptions: {
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minValue: 0,
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},
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description: 'Maximum number of labels you want the service to return in the response. The service returns the specified number of highest confidence labels.',
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},
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{
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displayName: 'Min Confidence',
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name: 'minConfidence',
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type: 'number',
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displayOptions: {
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show: {
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'/type': [
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'detectModerationLabels',
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'detectLabels',
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],
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},
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},
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default: 0,
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typeOptions: {
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minValue: 0,
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maxValue: 100,
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},
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description: 'Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn\'t return any labels with a confidence level lower than this specified value.',
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},
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{
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displayName: 'Attributes',
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name: 'attributes',
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type: 'multiOptions',
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displayOptions: {
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show: {
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'/type': [
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'detectFaces',
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],
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},
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},
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options: [
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{
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name: 'All',
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value: 'all',
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},
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{
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name: 'Default',
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value: 'default',
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},
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],
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default: [],
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description: 'An array of facial attributes you want to be returned',
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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 execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
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const items = this.getInputData();
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const returnData: IDataObject[] = [];
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const qs: IDataObject = {};
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let responseData;
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const resource = this.getNodeParameter('resource', 0) as string;
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const operation = this.getNodeParameter('operation', 0) as string;
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for (let i = 0; i < items.length; i++) {
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try {
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if (resource === 'image') {
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//https://docs.aws.amazon.com/rekognition/latest/dg/API_DetectModerationLabels.html#API_DetectModerationLabels_RequestSyntax
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if (operation === 'analyze') {
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const additionalFields = this.getNodeParameter('additionalFields', i) as IDataObject;
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let action = undefined;
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const body: IDataObject = {};
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const type = this.getNodeParameter('type', 0) as string;
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if (type === 'detectModerationLabels') {
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action = 'RekognitionService.DetectModerationLabels';
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// property = 'ModerationLabels';
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if (additionalFields.minConfidence) {
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body['MinConfidence'] = additionalFields.minConfidence as number;
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}
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}
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if (type === 'detectFaces') {
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action = 'RekognitionService.DetectFaces';
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// TODO: Add a later point make it possible to activate via option.
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// If activated add an index to each of the found faces/tages/...
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// to not loose the reference to the image it got found on if
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// multilpe ones got supplied.
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// property = 'FaceDetails';
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if (additionalFields.attributes) {
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body['Attributes'] = additionalFields.attributes as string;
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}
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}
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if (type === 'detectLabels') {
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action = 'RekognitionService.DetectLabels';
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if (additionalFields.minConfidence) {
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body['MinConfidence'] = additionalFields.minConfidence as number;
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}
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if (additionalFields.maxLabels) {
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body['MaxLabels'] = additionalFields.maxLabels as number;
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}
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}
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if (type === 'recognizeCelebrity') {
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action = 'RekognitionService.RecognizeCelebrities';
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}
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if (type === 'detectText') {
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action = 'RekognitionService.DetectText';
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body.Filters = {};
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const box = (additionalFields.regionsOfInterestUi as IDataObject || {}).regionsOfInterestValues as IDataObject[] || [];
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if (box.length !== 0) {
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//@ts-ignore
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body.Filters.RegionsOfInterest = box.map((box: IDataObject) => {
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return { BoundingBox: keysTPascalCase(box) };
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});
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}
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const wordFilter = additionalFields.wordFilterUi as IDataObject || {};
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if (Object.keys(wordFilter).length !== 0) {
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//@ts-ignore
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body.Filters.WordFilter = keysTPascalCase(wordFilter);
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}
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const binaryData = this.getNodeParameter('binaryData', 0) as boolean;
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if (binaryData) {
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const binaryPropertyName = this.getNodeParameter('binaryPropertyName', 0) as string;
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if (items[i].binary === undefined) {
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throw new NodeOperationError(this.getNode(), 'No binary data exists on item!', { itemIndex: i });
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}
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if ((items[i].binary as IBinaryKeyData)[binaryPropertyName] === undefined) {
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throw new NodeOperationError(this.getNode(), `No binary data property "${binaryPropertyName}" does not exists on item!`, { itemIndex: i });
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}
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const binaryPropertyData = (items[i].binary as IBinaryKeyData)[binaryPropertyName];
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Object.assign(body, {
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Image: {
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Bytes: binaryPropertyData.data,
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},
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});
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} else {
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const bucket = this.getNodeParameter('bucket', i) as string;
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const name = this.getNodeParameter('name', i) as string;
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Object.assign(body, {
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Image: {
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S3Object: {
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Bucket: bucket,
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Name: name,
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},
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},
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});
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if (additionalFields.version) {
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//@ts-ignore
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body.Image.S3Object.Version = additionalFields.version as string;
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}
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}
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responseData = await awsApiRequestREST.call(this, 'rekognition', 'POST', '', JSON.stringify(body), {}, { 'X-Amz-Target': action, 'Content-Type': 'application/x-amz-json-1.1' });
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}
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}
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}
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if (Array.isArray(responseData)) {
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returnData.push.apply(returnData, responseData as IDataObject[]);
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} else {
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returnData.push(responseData);
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}
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} catch (error) {
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if (this.continueOnFail()) {
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returnData.push({ error: error.message });
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continue;
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}
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throw error;
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}
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}
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return [this.helpers.returnJsonArray(returnData)];
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}
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}
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