Extracteur de tâches Gmail→GPT→Supabase

• •Compte Google et informations d'identification Gmail API
• •URL et Clé API Supabase
• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Clé API OpenAI

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  "name": "Gmail → GPT → Supabase | Task Extractor",
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      "notes": "Runs the workflow on a schedule (every X minutes) to check for new unread emails.",
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      "notes": "Formats the email content into a prompt for GPT, asking it to extract a structured task in JSON format.",
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        "jsCode": "return {\n  prompt: `You are an AI productivity assistant. Given the email below, extract any actionable task(s). Respond in this format:\n  {\n    \"task\": \"Brief title of the task\",\n    \"description\": \"Expanded detail if needed\",\n    \"due_date\": \"2025-07-01\" or null,\n    \"estimated_minutes\": 30,\n    \"deep_work\": true\n  }\n  If no actionable task exists, respond with null.\\n\\nEmail:\\n${$('Loop Over Items').item.json.snippet}`\n};\n"
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      "name": "Extraire les détails de la tâche de l'e-mail",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "notes": "Sends the email to ChatGPT-4o to extract task details like title, description, due date, duration, and focus level.",
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          "value": "chatgpt-4o-latest",
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      "notes": "Inserts the processed email and GPT-extracted task into the Supabase emails table. Uses upsert to avoid duplicates.",
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      "parameters": {
        "url": "={{ $vars.Supabase_TaskManagement_URI + '/rest/v1/emails?on_conflict=email_id' }}",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"email_id\": {{ JSON.stringify( $('Get Unread Emails from Inbox').item.json.id) }},\n  \"subject\": {{ JSON.stringify($('Get Unread Emails from Inbox').item.json.Subject) }},\n  \"sender\": {{ JSON.stringify($('Get Unread Emails from Inbox').item.json.From) }},\n  \"received_at\": {{ JSON.stringify(new Date(Number($('Get Unread Emails from Inbox').item.json.internalDate)).toISOString()) }},\n  \"body\": {{ JSON.stringify($('Get Unread Emails from Inbox').item.json.snippet) }},\n  \"gpt_summary\": {{ JSON.stringify($json.message.content) }},\n  \"requires_deep_work\": {{ JSON.stringify($json.message.content.deep_work) }},\n  \"deleted\": false\n}",
        "sendBody": true,
        "jsonHeaders": "={\n  \"apikey\": \"{{ $vars.Supabase_TaskManagement_ANON_KEY }}\",\n  \"Authorization\": \"Bearer {{ $vars.Supabase_TaskManagement_ANON_KEY }}\",\n  \"Content-Type\": \"application/json\",\n  \"Prefer\": \"resolution=ignore-conflict\"\n}",
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    {
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      "name": "Obtenir les e-mails non lus de la boîte de réception",
      "type": "n8n-nodes-base.gmail",
      "notes": "Fetches all unread emails from the inbox using Gmail API. These are the raw email inputs for analysis.",
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      "parameters": {
        "filters": {
          "labelIds": [
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          "readStatus": "unread"
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        "returnAll": true
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      "name": "Obtenir l'e-mail depuis la base de données",
      "type": "n8n-nodes-base.supabase",
      "notes": "Checks Supabase to see if this email has already been processed (by matching on email_id). Prevents duplicate GPT calls.",
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      "parameters": {
        "filters": {
          "conditions": [
            {
              "keyName": "email_id",
              "keyValue": "={{ $json.id }}"
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        "tableId": "emails",
        "operation": "get"
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      "name": "Vérifier si l'e-mail est dans la base de données",
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      "notes": "If the email does not exist in Supabase, continue with GPT processing. Otherwise, skip this email.",
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      "type": "n8n-nodes-base.splitInBatches",
      "notes": "Loops through each unread email individually, allowing per-item processing (dedup, GPT, insert).",
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        "content": "## 📩 Gmail → GPT → Supabase | Task Extractor\n\nThis n8n workflow automates the extraction of actionable tasks from unread Gmail messages using OpenAI's GPT API, stores the resulting task metadata in Supabase, and avoids re-processing previously handled emails.\n\n---\n\n## ✅ What It Does\n\n1. **Triggers on a schedule** to check for unread emails in your Gmail inbox.\n2. **Loops through each email individually** using `SplitInBatches`.\n3. **Checks Supabase** to see if the email has already been processed.\n4. If it's a new email:\n   - Formats the email content into a structured GPT prompt\n   - Calls **ChatGPT-4o** to extract structured task data\n   - Inserts the result into your `emails` table in Supabase\n\n---\n\n## 🧰 Prerequisites\n\nBefore using this workflow, you must have:\n\n- An active **n8n Cloud or self-hosted instance**\n- A connected **Gmail account** with OAuth credentials in n8n\n- A **Supabase project** with an `emails` table and:\n  ```sql\n  ALTER TABLE emails ADD CONSTRAINT unique_email_id UNIQUE (email_id);\n  ```\n- An **OpenAI API key** with access to GPT-4o or GPT-3.5-turbo\n\n---\n\n## 🔐 Required Credentials\n\n| Name            | Type       | Description                       |\n|-----------------|------------|-----------------------------------|\n| Gmail OAuth     | Gmail      | To pull unread messages           |\n| OpenAI API Key  | OpenAI     | To generate task summaries        |\n| Supabase API    | HTTP       | For inserting rows via REST API   |\n\n---\n\n## 🔁 Environment Variables or Replacements\n\n- `Supabase_TaskManagement_URI` → e.g., `https://your-project.supabase.co`\n- `Supabase_TaskManagement_ANON_KEY` → Your Supabase anon key\n\nThese are used in the HTTP request to Supabase.\n\n---\n\n## ⏰ Scheduling / Trigger\n\n- Triggered using a **Schedule node**\n- Default: every X minutes (adjust to your preference)\n- Uses a Gmail API filter: **unread emails with label = INBOX**\n\n---\n\n## 🧠 Intended Use Case\n\n> Designed for productivity-minded professionals who want to extract, summarize, and store actionable tasks from incoming email — without processing the same email twice or wasting GPT API credits.\n\nThis is part of a larger system integrating GPT, calendar scheduling, and optional task platforms (like ClickUp).\n\n---\n\n## 📦 Output (Stored in Supabase)\n\nEach processed email includes:\n- `email_id`\n- `subject`\n- `sender`\n- `received_at`\n- `body` (email snippet)\n- `gpt_summary` (structured task)\n- `requires_deep_work` (from GPT logic)\n- `deleted` (initially false)"
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