{
"id": "7",
"name": "Daily Language Learning",
"nodes": [
{
"name": "Daily trigger",
"type": "n8n-nodes-base.cron",
"position": [
620,
750
],
"parameters": {
"triggerTimes": {
"item": [
{
"hour": 8
}
]
}
},
"typeVersion": 1
},
{
"name": "Get top 3 articles",
"type": "n8n-nodes-base.hackerNews",
"position": [
820,
750
],
"parameters": {
"limit": 3,
"resource": "all",
"additionalFields": {
"tags": [
"front_page"
]
}
},
"typeVersion": 1
},
{
"name": "Extract words",
"type": "n8n-nodes-base.function",
"position": [
1020,
750
],
"parameters": {
"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;"
},
"typeVersion": 1
},
{
"name": "Translate",
"type": "n8n-nodes-base.lingvaNex",
"position": [
1220,
750
],
"parameters": {
"text": "={{$node[\"Extract words\"].json[\"words\"]}}",
"options": [],
"translateTo": "de_DE"
},
"credentials": {
"lingvaNexApi": "LingvaNex"
},
"typeVersion": 1
},
{
"name": "Filter data ",
"type": "n8n-nodes-base.set",
"position": [
1420,
750
],
"parameters": {
"values": {
"string": [
{
"name": "English word",
"value": "={{$node[\"Translate\"].json[\"source\"]}}"
},
{
"name": "Translated word",
"value": "={{$node[\"Translate\"].json[\"result\"]}}"
}
]
},
"options": [],
"keepOnlySet": true
},
"typeVersion": 1
},
{
"name": "Save today's words",
"type": "n8n-nodes-base.airtable",
"position": [
1620,
850
],
"parameters": {
"table": "Table 1",
"options": [],
"operation": "append",
"application": "app4Y6qcCHIO1cYNB"
},
"credentials": {
"airtableApi": "Airtable"
},
"typeVersion": 1
},
{
"name": "Craft message",
"type": "n8n-nodes-base.function",
"position": [
1620,
650
],
"parameters": {
"functionCode": "const number_of_words = 5;\nconst words = [];\n\n\/\/ Crafts the words to be sent in en_word : translated_word format\n\/\/ and adds them to an array\n\nfor(let i=0; i < number_of_words; i++) {\n words.push(items[i].json['English word'] + ' : ' + items[i].json['Translated word']);\n}\n\n\/\/ Takes all the items from the array and converts them into a comma\n\/\/ separated string\n\nconst words_of_the_day = words.join(', ');\n\nreturn [{json: {words_of_the_day: words_of_the_day}}];"
},
"typeVersion": 1
},
{
"name": "Send SMS",
"type": "n8n-nodes-base.vonage",
"position": [
1820,
650
],
"parameters": {
"to": "+4915225152610",
"from": "Vonage APIs",
"message": "=Good morning, here are your words for today\n{{$node[\"Craft message\"].json[\"words_of_the_day\"]}}",
"additionalFields": []
},
"credentials": {
"vonageApi": "Vonage"
},
"typeVersion": 1
}
],
"active": false,
"settings": [],
"connections": {
"Translate": {
"main": [
[
{
"node": "Filter data ",
"type": "main",
"index": 0
}
]
]
},
"Filter data ": {
"main": [
[
{
"node": "Craft message",
"type": "main",
"index": 0
},
{
"node": "Save today's words",
"type": "main",
"index": 0
}
]
]
},
"Craft message": {
"main": [
[
{
"node": "Send SMS",
"type": "main",
"index": 0
}
]
]
},
"Daily trigger": {
"main": [
[
{
"node": "Get top 3 articles",
"type": "main",
"index": 0
}
]
]
},
"Extract words": {
"main": [
[
{
"node": "Translate",
"type": "main",
"index": 0
}
]
]
},
"Get top 3 articles": {
"main": [
[
{
"node": "Extract words",
"type": "main",
"index": 0
}
]
]
}
}
}
