Extracción de datos de asistencia desde imágenes de Google Drive a Sheets mediante un bot de Telegram, VLM Run AI y recordatorios de Gmail

• •Cuenta de Google y credenciales de API de Gmail
• •Punto final de HTTP Webhook (n8n generará automáticamente)
• •Credenciales de API de Google Drive
• •Pueden requerirse credenciales de autenticación para la API de destino

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        "agentPrompt": "=Analyze the image of user list names and show them in the following json format, make sure to follow this exact structure, where val1 will be current date, val2 will be total user count and rest of the values will be the user names:\n{ \\\"majorDimension\\\": \\\"ROWS\\\",   \\\"values\\\": [     [\\\"val1\\\", \\\"val2\\\"]   ] }",
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        "content": "## 🟣 Append to Sheets + Send Email\n\n* ➕ **HTTP Request** calls Google Sheets `values:append` with `valueInputOption=RAW`, `insertDataOption=INSERT_ROWS`, `includeValuesInResponse=true`, then ✉️ **Gmail** sends the formatted attendance to the chosen recipient\n\n* 📥 Appends the received row into **Sheet1!A:Z** and formats the message where the first item is the date, the last item is the total, and the rest are numbered names\n\n🧪 Example input:\n{\"majorDimension\":\"ROWS\",\"values\":[[\"2025-10-03\",\"6\",\"Camila Torres Rivera\",...,\"Anisah Anif\"]]}\n\n\n📊 Result: a new row with date in column A, total count in column B, then each attendee name across subsequent columns, and an email sent with subject `Attendance List`\n"
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        "content": "## 🟡 VLM Run: Extraction Logic\n\n\n- 🤖 **Execute Agent** processes the downloaded image.  \n- 📝 **Prompt**: Return JSON in format `{ \"majorDimension\": \"ROWS\", \"values\": [[\"YYYY-MM-DD\", \"user_count\", \"name1\", \"name2\", ...]] }`.  \n- 🌐 Result posted to n8n webhook **`check-attendance`** (test endpoint).  \n- 📩 Webhook receives ready-to-append Sheets payload.  \n- 🧠 *Example output*:  \n  `{\"majorDimension\":\"ROWS\",\"values\":[[\"2025-10-03\",\"6\",\"Camila Torres Rivera\",\"Mellissa\"]]}`\n\n\n"
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        "content": "## 🟢 Google Drive: Monitor & Download\n\n* ⏱️ Google Drive Trigger checks the target folder every minute for **fileCreated** events\n\n* 🗂️ Trigger scope: the attendance images folder you selected\n\n* 🔗 Passes the new file **id** to the next node\n\n* ⬇️ Google Drive node downloads the file as binary under **data**\n\n* 📦 Output: the binary file is ready for the attendance extraction step\n"
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        "content": "## 🧾 Attendance Extraction Pipeline\n\n**Overview:**\n\nUploads land in Google Drive → VLM Run’s Execute Agent reads names from the image or scan → Agent posts a clean JSON to the n8n Webhook → The workflow appends the row into Google Sheets.\n\n\nPerfect for:\nWhiteboard standups, workshop sign-ins, classroom roll calls.\n\n\n**Requirements:**\n\n* VLM Run API credentials with access to Execute Agent\n* Google Drive OAuth2 for trigger and download\n* Google Sheets OAuth2 for `values:append`\n* n8n Webhook reachable at `check-attendance` on the test endpoint\n"
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          "value": "1S6baavqJn98MjUlbB6KtmARCWuWEekIZ",
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        "fileId": {
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          "binaryPropertyName": "data"
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      "name": "Enviar un Mensaje",
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        "message": "={{\n(() => {\n  const raw = $json.updates?.updatedData?.values;\n\n  // Normalize to a flat array of strings\n  const parts = Array.isArray(raw)\n    ? (Array.isArray(raw[0]) ? raw[0] : raw).map(String)\n    : String(raw || \"\").split(\",\").map(s => s.trim());\n\n  if (!parts.length) return \"No data received\";\n\n  const date = parts[0];\n  const total = parts[1];\n  const names = parts.slice(2).filter(Boolean);\n\n  // Optional pretty date without relying on timezone parsing\n  const prettyDate = /^(\\d{4})-(\\d{2})-(\\d{2})$/.test(date)\n    ? date.replace(/^(\\d{4})-(\\d{2})-(\\d{2})$/, \"$3-$2-$1\")\n    : date;\n\n  const list = names.map((n, i) => `${i + 1}. ${n}`).join(\"<br>\");\n\n  return `Today's Attendance List (${prettyDate})<br>Total: ${total}<br>${list}`;\n})()\n}}\n",
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