Summarize Google Sheets form feedback via OpenAI_s GPT-4


Nội dung File JSON

{
    "id": "Lwvu2jjMU2irTyAY",
    "meta": {
        "instanceId": "fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a"
    },
    "name": "Summarize Google Sheets form feedback via OpenAI''s GPT-4",
    "tags": [
        {
            "id": "y9tvM3hISJKT2jeo",
            "name": "Ted''s Tech Talks",
            "createdAt": "2023-08-15T22:12:34.260Z",
            "updatedAt": "2023-08-15T22:12:34.260Z"
        }
    ],
    "nodes": [
        {
            "id": "cd80cd2f-a6e1-48eb-ba05-0f8f1a0875e5",
            "name": "When clicking \"Test workflow\"",
            "type": "n8n-nodes-base.manualTrigger",
            "position": [
                680,
                320
            ],
            "parameters": {},
            "typeVersion": 1
        },
        {
            "id": "9f03f1c4-c47e-4eda-bc0a-a598c21e4616",
            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                640,
                130
            ],
            "parameters": {
                "width": 369.1031874662338,
                "height": 349,
                "content": "### 1. Create a Google Sheet document\n* This tutorial uses Google Sheet document connected to Google Forms, but a standalone Sheet document will work too\n* Adapt initial trigger to your needs: run manually or at some time intervals\n\n[Link to the Google Sheets template](https://docs.google.com/spreadsheets/d/1Kcr1oF_RrfNQJczmJDpwClOSYpvSnwbeX-_pdUo91-I/edit?usp=sharing)"
            },
            "typeVersion": 1
        },
        {
            "id": "1e478f81-76e7-4fc3-a147-11a92d3f9998",
            "name": "Sticky Note1",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                1040,
                160
            ],
            "parameters": {
                "width": 394,
                "height": 319,
                "content": "### 2. Combine all answers into an array\n* Since the main goal is to provide an overall summary, we need to combine all answers for each Google Form question\n* Aggregate Node takes multiple incoming items and produces just a single item which contains arrays of user feedback"
            },
            "typeVersion": 1
        },
        {
            "id": "1ab06b51-3b9e-4a4c-afba-c98e529a636c",
            "name": "Sticky Note2",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                1480,
                160
            ],
            "parameters": {
                "width": 432,
                "height": 319,
                "content": "### 3. Generate a summary report\n* Enter a __system message__ with a overall instructions on how to analyze the feedback form\n* Provide a __user message__ with JSON arrays.\n\n__NB! Consider splitting the form questions for a very long forms or when the number of responses is too high__"
            },
            "typeVersion": 1
        },
        {
            "id": "ce0118a3-4eaf-4d60-adf0-5bde5d41328a",
            "name": "Sticky Note3",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                1940,
                160
            ],
            "parameters": {
                "width": 359.1031874662346,
                "height": 319,
                "content": "### 4. Convert to HTML and send an email\n* GPT is configured to reply in Markdown format. Markdown Node converts such text into HTML\n* Finally, the Gmail node sends a message with HTML report"
            },
            "typeVersion": 1
        },
        {
            "id": "37bc8ab5-328c-4f50-bbda-f7482bf36522",
            "name": "Get Google Sheets records",
            "type": "n8n-nodes-base.googleSheets",
            "position": [
                860,
                320
            ],
            "parameters": {
                "options": {},
                "sheetName": {
                    "__rl": true,
                    "mode": "list",
                    "value": 2035968519,
                    "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Kcr1oF_RrfNQJczmJDpwClOSYpvSnwbeX-_pdUo91-I/edit#gid=2035968519",
                    "cachedResultName": "Form Responses 1"
                },
                "documentId": {
                    "__rl": true,
                    "mode": "list",
                    "value": "1Kcr1oF_RrfNQJczmJDpwClOSYpvSnwbeX-_pdUo91-I",
                    "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Kcr1oF_RrfNQJczmJDpwClOSYpvSnwbeX-_pdUo91-I/edit?usp=drivesdk",
                    "cachedResultName": "Event feedback form (Responses)"
                }
            },
            "credentials": {
                "googleSheetsOAuth2Api": {
                    "id": "RtRiRezoxiWkzZQt",
                    "name": "Ted''s Tech Talks Google account"
                }
            },
            "typeVersion": 4.2
        },
        {
            "id": "d75b11b1-2cce-40c2-ab5a-d18fdf7f5283",
            "name": "Aggregate responses into arrays",
            "type": "n8n-nodes-base.aggregate",
            "position": [
                1200,
                320
            ],
            "parameters": {
                "options": {},
                "fieldsToAggregate": {
                    "fieldToAggregate": [
                        {
                            "fieldToAggregate": "[''What went great?'']"
                        },
                        {
                            "fieldToAggregate": "[''How can we improve?'']"
                        },
                        {
                            "fieldToAggregate": "[''What is the chance of recommending our event?'']"
                        }
                    ]
                }
            },
            "typeVersion": 1
        },
        {
            "id": "a90f83fe-809b-42db-b65d-43fb11b2979a",
            "name": "Summarize via GPT model",
            "type": "n8n-nodes-base.openAi",
            "position": [
                1620,
                320
            ],
            "parameters": {
                "prompt": {
                    "messages": [
                        {
                            "role": "system",
                            "content": "Your task is to summarize event feedback form responses. You will receive answers on three questions:\n1. What went great?\n2. How can we improve?\n3. What is the chance of recommending our event?\n\nEach questions has several answers separated by - character.\nAnalyze each question and prepare a summary report. It should contain an overall sentiment regarding the event, followed by the constructive ideas of what to improve.\n\nReply in Markdown formatting"
                        },
                        {
                            "content": "=1. What went great: ```{{ $json[''What went great?''].join('' - '') }}```\n2. How can we improve: ```{{ $json[''How can we improve?''].join('' - '') }}```\n3. What is the chance of recommending our event: ```{{ $json[''What is the chance of recommending our event?''].join('' - '') }}```"
                        }
                    ]
                },
                "options": {
                    "temperature": 0.3
                },
                "resource": "chat",
                "chatModel": "gpt-4-turbo-preview"
            },
            "credentials": {
                "openAiApi": {
                    "id": "rveqdSfp7pCRON1T",
                    "name": "Ted''s Tech Talks OpenAi"
                }
            },
            "typeVersion": 1.1
        },
        {
            "id": "2c8d4e46-9d3e-4655-952b-37d04f673914",
            "name": "Convet from Markdown to HTML",
            "type": "n8n-nodes-base.markdown",
            "position": [
                1980,
                320
            ],
            "parameters": {
                "mode": "markdownToHtml",
                "options": {
                    "completeHTMLDocument": false
                },
                "markdown": "={{ $json.message.content }}"
            },
            "typeVersion": 1
        },
        {
            "id": "a27d8664-dc87-4458-9f12-970b88ab6515",
            "name": "Send via Gmail",
            "type": "n8n-nodes-base.gmail",
            "position": [
                2160,
                320
            ],
            "parameters": {
                "sendTo": "teds.tech.talks@gmail.com",
                "message": "={{ $json.data }}",
                "options": {
                    "appendAttribution": false
                },
                "subject": "Feedback form response"
            },
            "credentials": {
                "gmailOAuth2": {
                    "id": "UllrXlZsDnkdA3tT",
                    "name": "Gmail account"
                }
            },
            "typeVersion": 2.1
        }
    ],
    "active": false,
    "pinData": {},
    "settings": {
        "executionOrder": "v1"
    },
    "versionId": "756cdd85-49dd-4f0f-acc7-58f834a3512f",
    "connections": {
        "Summarize via GPT model": {
            "main": [
                [
                    {
                        "node": "Convet from Markdown to HTML",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Get Google Sheets records": {
            "main": [
                [
                    {
                        "node": "Aggregate responses into arrays",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Convet from Markdown to HTML": {
            "main": [
                [
                    {
                        "node": "Send via Gmail",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "When clicking \"Test workflow\"": {
            "main": [
                [
                    {
                        "node": "Get Google Sheets records",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Aggregate responses into arrays": {
            "main": [
                [
                    {
                        "node": "Summarize via GPT model",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        }
    }
}