feat: add folder support for workflows (fixes #70)
This commit is contained in:
Praveen Mudalgeri
@@ -0,0 +1,219 @@
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{
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"id": "7",
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"name": "Daily Language Learning",
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"nodes": [
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{
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"name": "Daily trigger",
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"type": "n8n-nodes-base.cron",
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"position": [
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620,
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750
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],
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"parameters": {
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"triggerTimes": {
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"item": [
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{
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"hour": 8
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}
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]
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}
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},
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"typeVersion": 1
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},
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{
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"name": "Get top 3 articles",
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"type": "n8n-nodes-base.hackerNews",
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"position": [
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820,
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750
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],
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"parameters": {
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"limit": 3,
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"resource": "all",
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"additionalFields": {
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"tags": [
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"front_page"
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]
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}
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},
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"typeVersion": 1
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},
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{
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"name": "Extract words",
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"type": "n8n-nodes-base.function",
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"position": [
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1020,
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750
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],
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"parameters": {
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"functionCode": "const words = [];\nconst regex = /\\d/g;\nconst newItems = [];\n\n// Splits titles into words and removes numbers\n// using regular expressions\n\nfor(let i=0; i < items.length; i++) {\n let split_titles = []; \n split_titles = items[i].json.title.split(' ');\n for(let j=0; j < split_titles.length; j++) {\n if(regex.test(split_titles[j])) {\n continue;\n } else {\n words.push(split_titles[j]);\n }\n }\n}\n\n// Removes all duplicate words by converting the\n// array into a set and then back into an array\n\nconst uniqueWords = [...new Set(words)];\n\n// Transform the array to the data structure expected\n// by n8n\n\nfor(let k=0; k < uniqueWords.length; k++) {\n newItems.push({json: { words: uniqueWords[k] }});\n}\n\nreturn newItems;"
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},
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"typeVersion": 1
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},
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{
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"name": "Translate",
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"type": "n8n-nodes-base.lingvaNex",
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"position": [
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1220,
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750
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],
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"parameters": {
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"text": "={{$node[\"Extract words\"].json[\"words\"]}}",
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"options": {},
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"translateTo": "de_DE"
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},
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"credentials": {
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"lingvaNexApi": "LingvaNex"
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},
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"typeVersion": 1
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},
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{
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"name": "Filter data ",
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"type": "n8n-nodes-base.set",
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"position": [
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1420,
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750
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],
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"parameters": {
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"values": {
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"string": [
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{
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"name": "English word",
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"value": "={{$node[\"Translate\"].json[\"source\"]}}"
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},
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{
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"name": "Translated word",
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"value": "={{$node[\"Translate\"].json[\"result\"]}}"
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}
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]
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},
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"options": {},
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"keepOnlySet": true
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},
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"typeVersion": 1
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},
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{
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"name": "Save today's words",
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"type": "n8n-nodes-base.airtable",
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"position": [
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1620,
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850
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],
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"parameters": {
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"table": "Table 1",
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"options": {},
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"operation": "append",
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"application": "app4Y6qcCHIO1cYNB"
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},
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"credentials": {
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"airtableApi": "Airtable"
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},
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"typeVersion": 1
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},
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{
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"name": "Craft message",
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"type": "n8n-nodes-base.function",
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"position": [
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1620,
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650
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],
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"parameters": {
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"functionCode": "const number_of_words = 5;\nconst words = [];\n\n// Crafts the words to be sent in en_word : translated_word format\n// and adds them to an array\n\nfor(let i=0; i < number_of_words; i++) {\n words.push(items[i].json['English word'] + ' : ' + items[i].json['Translated word']);\n}\n\n// Takes all the items from the array and converts them into a comma\n// separated string\n\nconst words_of_the_day = words.join(', ');\n\nreturn [{json: {words_of_the_day: words_of_the_day}}];"
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},
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"typeVersion": 1
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},
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{
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"name": "Send SMS",
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"type": "n8n-nodes-base.vonage",
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"position": [
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1820,
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650
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],
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"parameters": {
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"to": "+4915225152610",
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"from": "Vonage APIs",
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"message": "=Good morning, here are your words for today\n{{$node[\"Craft message\"].json[\"words_of_the_day\"]}}",
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"additionalFields": {}
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},
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"credentials": {
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"vonageApi": "Vonage"
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},
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"typeVersion": 1
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}
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],
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"active": false,
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"settings": {},
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"connections": {
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"Translate": {
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"main": [
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[
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{
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"node": "Filter data ",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Filter data ": {
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"main": [
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[
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{
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"node": "Craft message",
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"type": "main",
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"index": 0
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},
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{
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"node": "Save today's words",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Craft message": {
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"main": [
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[
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{
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"node": "Send SMS",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Daily trigger": {
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"main": [
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[
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{
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"node": "Get top 3 articles",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Extract words": {
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"main": [
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[
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{
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"node": "Translate",
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"type": "main",
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"index": 0
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}
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]
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]
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},
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"Get top 3 articles": {
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"main": [
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[
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{
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"node": "Extract words",
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"type": "main",
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"index": 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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