{ "updatedAt": "2025-11-23T18:52:50.000Z", "createdAt": "2025-11-21T18:29:25.700Z", "id": "FsE5BMhYYzTYRTwM", "name": "CMA Automation", "active": false, "isArchived": false, "nodes": [ { "parameters": { "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "triggerOn": "specificFolder", "folderToWatch": { "__rl": true, "value": "1CNXRwP4cKQTRwfA4ytZsb6TenJR_mY0K", "mode": "list", "cachedResultName": "Quick CMA", "cachedResultUrl": "https://drive.google.com/drive/folders/1CNXRwP4cKQTRwfA4ytZsb6TenJR_mY0K" }, "event": "fileCreated", "options": {} }, "type": "n8n-nodes-base.googleDriveTrigger", "typeVersion": 1, "position": [ 464, 504 ], "id": "25630b52-ebb1-4935-a3f8-578b63ebe423", "name": "Google Drive Trigger", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "operation": "pdf", "options": {} }, "type": "n8n-nodes-base.extractFromFile", "typeVersion": 1, "position": [ 912, 504 ], "id": "efe97e3b-b059-4c23-bf3d-11bd10c81eb1", "name": "Extract from File" }, { "parameters": { "operation": "download", "fileId": { "__rl": true, "value": "={{ $json.id }}", "mode": "id" }, "options": {} }, "type": "n8n-nodes-base.googleDrive", "typeVersion": 3, "position": [ 688, 504 ], "id": "6080b227-93f6-4feb-9aed-c1737c49a51f", "name": "Download file", "credentials": { "googleDriveOAuth2Api": { "name": "" } } }, { "parameters": { "text": "={{ $json.text }}", "attributes": { "attributes": [ { "name": "Address", "description": "Address of the comparable property", "required": true }, { "name": "H SqFt", "description": "Square feet of the comparable property.", "required": true }, { "name": "BR", "description": "How many bedrooms the comparable property has.", "required": true }, { "name": "FB", "description": "How many full bathrooms the comparable property has", "required": true }, { "name": "HB", "description": "How many half bathrooms the comparable property has.", "required": true }, { "name": "YrBlt", "description": "The year the property was built", "required": true }, { "name": "Pool", "description": "If it has a pool, the type of pool", "required": true }, { "name": "List Price", "description": "The price the property was listed for", "required": true }, { "name": "CDOM", "description": "The amount of days on the market the property was listed.", "required": true }, { "name": "Sale Price", "description": "The price of the property was sold at.", "required": true }, { "name": "Sale Date", "description": "The date the property was sold.", "required": true } ] }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.informationExtractor", "typeVersion": 1.2, "position": [ 464, 936 ], "id": "0d96f76d-eb14-4211-90fc-e0b727d0a025", "name": "Information Extractor" }, { "parameters": { "content": "### Sale $ / foot\n**Means sale $ / foot\nSale Price / H SqFt = P/H SqFt\n\n### List $ /foot\n** Means \n(listing price / H sqft)", "height": 192, "width": 272 }, "type": "n8n-nodes-base.stickyNote", "position": [ 1088, 48 ], "typeVersion": 1, "id": "2eb847a4-5939-4d3b-8006-fea4e81aaec4", "name": "Sticky Note" }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 536, 1160 ], "id": "1b92fd80-f76d-405b-a9fe-9ec60531ce6e", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 1208, 728 ], "id": "e98c4649-dcf3-4719-ba4b-cbc8f021dbf8", "name": "Google Gemini Chat Model1", "credentials": { "googlePalmApi": { "name": "" } } }, { "parameters": { "text": "={{ $json.text }}", "schemaType": "fromJson", "jsonSchemaExample": "[\n {\n \"Active Listings\": [\n {\n \"Address\": \"5701 AINSWORTH CT\",\n \"H SqFt\": \"2,680\",\n \"BR\": \"3\",\n \"FB\": \"1\",\n \"HB\": \"0\",\n \"YrBlt\": \"1987\",\n \"Pool\": \"Yes\",\n \"List Price\": \"$549,900\",\n \"CDOM\": \"166\",\n \"Sale Price\": \"\",\n \"Sale Date\": \"\",\n \"Listing\": \"Active\"\n },\n {\n \"Address\": \"5701 AINSWORTH CT\",\n \"H SqFt\": \"2,680\",\n \"BR\": \"3\",\n \"FB\": \"1\",\n \"HB\": \"0\",\n \"YrBlt\": \"1987\",\n \"Pool\": \"Yes\",\n \"List Price\": \"$549,900\",\n \"CDOM\": \"166\",\n \"Sale Price\": \"\",\n \"Sale Date\": \"\",\n \"Listing\": \"Active\"\n }\n ],\n \"Pending Listings\": [\n {\n \"Address\": \"5701 AINSWORTH CT\",\n \"H SqFt\": \"2,680\",\n \"BR\": \"3\",\n \"FB\": \"1\",\n \"HB\": \"0\",\n \"YrBlt\": \"1987\",\n \"Pool\": \"Yes\",\n \"List Price\": \"$549,900\",\n \"CDOM\": \"166\",\n \"Sale Price\": \"\",\n \"Sale Date\": \"\",\n \"Listing\": \"Pending\"\n },\n {\n \"Address\": \"5701 AINSWORTH CT\",\n \"H SqFt\": \"2,680\",\n \"BR\": \"3\",\n \"FB\": \"1\",\n \"HB\": \"0\",\n \"YrBlt\": \"1987\",\n \"Pool\": \"Yes\",\n \"List Price\": \"$549,900\",\n \"CDOM\": \"166\",\n \"Sale Price\": \"\",\n \"Sale Date\": \"\",\n \"Listing\": \"Pending\"\n }\n ],\n \"Sold Listings\": [\n {\n \"Address\": \"5701 AINSWORTH CT\",\n \"H SqFt\": \"2,680\",\n \"BR\": \"3\",\n \"FB\": \"1\",\n \"HB\": \"0\",\n \"YrBlt\": \"1987\",\n \"Pool\": \"Yes\",\n \"List Price\": \"$549,900\",\n \"CDOM\": \"166\",\n \"Sale Price\": \"\",\n \"Sale Date\": \"\",\n \"Listing\": \"Sold\"\n },\n {\n \"Address\": \"5701 AINSWORTH CT\",\n \"H SqFt\": \"2,680\",\n \"BR\": \"3\",\n \"FB\": \"1\",\n \"HB\": \"0\",\n \"YrBlt\": \"1987\",\n \"Pool\": \"Yes\",\n \"List Price\": \"$549,900\",\n \"CDOM\": \"166\",\n \"Sale Price\": \"\",\n \"Sale Date\": \"\",\n \"Listing\": \"Sold\"\n }\n ]\n }\n]", "options": { "systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value. " } }, "type": "@n8n/n8n-nodes-langchain.informationExtractor", "typeVersion": 1.2, "position": [ 1136, 504 ], "id": "81f3a9a6-d6c6-4e69-8e83-3deb5209e413", "name": "Information Extractor1" }, { "parameters": { "jsCode": "const fs = require(\"fs\");\nconst path = require(\"path\");\nconst pptxgen = require(\"pptxgenjs\");\nconst { html2pptx } = require(\"./html2pptx\");\n\n// Read JSON data\nconst jsonPath = process.argv[2] || \"/mnt/user-data/uploads/cma_data.json\";\nconst outputPath = process.argv[3] || \"CMA_Report.pptx\";\n\nconst rawData = JSON.parse(fs.readFileSync(jsonPath, \"utf8\"));\nconst data = rawData[0].output[0];\n\n// Helper function to parse price string to number\nfunction parsePrice(priceStr) {\n if (!priceStr) return 0;\n return parseFloat(priceStr.replace(/[$,]/g, \"\")) || 0;\n}\n\n// Helper function to parse sqft string to number\nfunction parseSqft(sqftStr) {\n if (!sqftStr) return 0;\n return parseFloat(sqftStr.replace(/,/g, \"\")) || 0;\n}\n\n// Calculate price per sqft\nfunction calcPricePerSqft(price, sqft) {\n const p = parsePrice(price);\n const s = parseSqft(sqft);\n if (s === 0) return \"$0\";\n return \"$\" + Math.round(p / s).toLocaleString();\n}\n\n// Format baths (FB + HB)\nfunction formatBaths(fb, hb) {\n const full = parseInt(fb) || 0;\n const half = parseInt(hb) || 0;\n if (half > 0) return `${full}.${half}`;\n return `${full}`;\n}\n\n// Generate title slide HTML\nfunction generateTitleSlide() {\n return `\n\n\n\n \n
\n
\n \n \n
\n

Comparative Market Analysis

\n

Prepared for Your Property

\n \n
\n
\n

Active Listings

\n

${data[\"Active Listings\"].length}

\n
\n
\n

Pending Listings

\n

${data[\"Pending Listings\"].length}

\n
\n
\n

Sold Listings

\n

${data[\"Sold Listings\"].length}

\n
\n
\n
\n\n`;\n}\n\n// Generate listing card HTML\nfunction generateListingCard(listing, isSold = false) {\n const pricePerSqft = calcPricePerSqft(listing[\"List Price\"], listing[\"H SqFt\"]);\n const baths = formatBaths(listing[\"FB\"], listing[\"HB\"]);\n \n let soldInfo = \"\";\n if (isSold && listing[\"Sale Price\"]) {\n const salePerSqft = calcPricePerSqft(listing[\"Sale Price\"], listing[\"H SqFt\"]);\n soldInfo = `\n

Sale Price: ${listing[\"Sale Price\"]}

\n

Sale $/Ft: ${salePerSqft}

\n

Sale Date: ${listing[\"Sale Date\"]}

`;\n }\n \n return `\n
\n \n
\n

Insert Property Image

\n
\n \n \n
\n

${listing[\"Address\"]}

\n
\n \n \n
\n

SqFt: ${listing[\"H SqFt\"]} | BR: ${listing[\"BR\"]} | BA: ${baths}

\n

Year: ${listing[\"YrBlt\"]} | Pool: ${listing[\"Pool\"]}

\n \n \n
\n \n \n

List Price: ${listing[\"List Price\"]} | $/Ft: ${pricePerSqft}

\n

D.O.M.: ${listing[\"CDOM\"]}

\n ${soldInfo}\n
\n
`;\n}\n\n// Generate listings page HTML\nfunction generateListingsPage(title, listings, startIdx, count, isSold = false) {\n const pageListings = listings.slice(startIdx, startIdx + count);\n const cards = pageListings.map(l => generateListingCard(l, isSold)).join(\"\\n\");\n \n return `\n\n\n\n \n
\n \n

${title}

\n \n \n
\n
\n
\n
\n \n \n
\n ${cards}\n
\n
\n\n`;\n}\n\n// Generate totals page HTML\nfunction generateTotalsPage() {\n // Calculate Active stats\n const activeListings = data[\"Active Listings\"];\n const activeQty = activeListings.length;\n const activeAvgDOM = Math.round(activeListings.reduce((sum, l) => sum + parseInt(l[\"CDOM\"] || 0), 0) / activeQty);\n const activeAvgPrice = Math.round(activeListings.reduce((sum, l) => sum + parsePrice(l[\"List Price\"]), 0) / activeQty);\n const activeAvgPriceSqft = Math.round(activeListings.reduce((sum, l) => {\n return sum + (parsePrice(l[\"List Price\"]) / parseSqft(l[\"H SqFt\"]));\n }, 0) / activeQty);\n \n // Calculate Pending stats\n const pendingListings = data[\"Pending Listings\"];\n const pendingQty = pendingListings.length;\n const pendingAvgDOM = Math.round(pendingListings.reduce((sum, l) => sum + parseInt(l[\"CDOM\"] || 0), 0) / pendingQty);\n const pendingAvgPrice = Math.round(pendingListings.reduce((sum, l) => sum + parsePrice(l[\"List Price\"]), 0) / pendingQty);\n const pendingAvgPriceSqft = Math.round(pendingListings.reduce((sum, l) => {\n return sum + (parsePrice(l[\"List Price\"]) / parseSqft(l[\"H SqFt\"]));\n }, 0) / pendingQty);\n \n // Calculate Sold stats\n const soldListings = data[\"Sold Listings\"];\n const soldQty = soldListings.length;\n const soldAvgDOM = Math.round(soldListings.reduce((sum, l) => sum + parseInt(l[\"CDOM\"] || 0), 0) / soldQty);\n const soldAvgListPrice = Math.round(soldListings.reduce((sum, l) => sum + parsePrice(l[\"List Price\"]), 0) / soldQty);\n const soldAvgListPriceSqft = Math.round(soldListings.reduce((sum, l) => {\n return sum + (parsePrice(l[\"List Price\"]) / parseSqft(l[\"H SqFt\"]));\n }, 0) / soldQty);\n const soldAvgSalePrice = Math.round(soldListings.reduce((sum, l) => sum + parsePrice(l[\"Sale Price\"]), 0) / soldQty);\n const soldAvgSalePriceSqft = Math.round(soldListings.reduce((sum, l) => {\n return sum + (parsePrice(l[\"Sale Price\"]) / parseSqft(l[\"H SqFt\"]));\n }, 0) / soldQty);\n \n return `\n\n\n\n \n
\n \n

Totals

\n \n \n
\n
\n
\n
\n \n \n
\n \n \n
\n

ACTIVE

\n
\n

Quantity: ${activeQty} | Average D.O.M.: ${activeAvgDOM}

\n

Average List Price: $${activeAvgPrice.toLocaleString()} | Average List $/SqFt: $${activeAvgPriceSqft}

\n
\n \n \n
\n

PENDING

\n
\n

Quantity: ${pendingQty} | Average D.O.M.: ${pendingAvgDOM}

\n

Average List Price: $${pendingAvgPrice.toLocaleString()} | Average List $/SqFt: $${pendingAvgPriceSqft}

\n
\n \n \n
\n

SOLD

\n
\n

Quantity: ${soldQty} | Average D.O.M.: ${soldAvgDOM}

\n

Average List Price: $${soldAvgListPrice.toLocaleString()} | Average List $/SqFt: $${soldAvgListPriceSqft}

\n

Average Sold Price: $${soldAvgSalePrice.toLocaleString()} | Average Sold $/SqFt: $${soldAvgSalePriceSqft}

\n
\n \n
\n
\n\n`;\n}\n\n// Main generation function\nasync function generatePresentation() {\n const pptx = new pptxgen();\n pptx.layout = \"LAYOUT_16x9\";\n pptx.title = \"Comparative Market Analysis\";\n pptx.author = \"CMA Generator\";\n \n // Create HTML files\n const slides = [];\n \n // Slide 1: Title\n fs.writeFileSync(\"slide-title.html\", generateTitleSlide());\n slides.push(\"slide-title.html\");\n \n // Slide 2: Active Listings (all 3 on one page)\n fs.writeFileSync(\"slide-active.html\", generateListingsPage(\"Active Listings\", data[\"Active Listings\"], 0, 3, false));\n slides.push(\"slide-active.html\");\n \n // Slide 3: Pending Listings (2 on one page)\n fs.writeFileSync(\"slide-pending.html\", generateListingsPage(\"Pending Listings\", data[\"Pending Listings\"], 0, 3, false));\n slides.push(\"slide-pending.html\");\n \n // Slide 4-5: Sold Listings (3 per page)\n fs.writeFileSync(\"slide-sold1.html\", generateListingsPage(\"Sold Listings\", data[\"Sold Listings\"], 0, 3, true));\n slides.push(\"slide-sold1.html\");\n \n fs.writeFileSync(\"slide-sold2.html\", generateListingsPage(\"Sold Listings\", data[\"Sold Listings\"], 3, 3, true));\n slides.push(\"slide-sold2.html\");\n \n // Slide 6: Totals\n fs.writeFileSync(\"slide-totals.html\", generateTotalsPage());\n slides.push(\"slide-totals.html\");\n \n // Convert all HTML slides to PowerPoint\n for (const slideFile of slides) {\n await html2pptx(slideFile, pptx);\n }\n \n // Save the presentation\n await pptx.writeFile(outputPath);\n console.log(`Presentation saved to: ${outputPath}`);\n}\n\ngeneratePresentation().catch(console.error);\n" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1488, 504 ], "id": "ca8fa22b-bf8e-4a54-a0e0-33703ef20276", "name": "Code in JavaScript" }, { "parameters": {}, "type": "n8n-nodes-pdfmonkey.pdfMonkey", "typeVersion": 1, "position": [ 464, 176 ], "id": "73125177-5242-4cd3-a2e1-211ab03b807a", "name": "PDFMonkey", "credentials": { "pdfMonkeyApi": { "name": "" } } }, { "parameters": { "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.3, "position": [ 1840, 640 ], "id": "8053e5d7-cbef-432e-93e3-be7c808d9111", "name": "HTTP Request" } ], "connections": { "Google Drive Trigger": { "main": [ [ { "node": "Download file", "type": "main", "index": 0 } ] ] }, "Download file": { "main": [ [ { "node": "Extract from File", "type": "main", "index": 0 } ] ] }, "Extract from File": { "main": [ [ { "node": "Information Extractor1", "type": "main", "index": 0 } ] ] }, "Google Gemini Chat Model": { "ai_languageModel": [ [ { "node": "Information Extractor", "type": "ai_languageModel", "index": 0 } ] ] }, "Google Gemini Chat Model1": { "ai_languageModel": [ [ { "node": "Information Extractor1", "type": "ai_languageModel", "index": 0 } ] ] }, "Information Extractor1": { "main": [ [ { "node": "Code in JavaScript", "type": "main", "index": 0 } ] ] } }, "settings": { "executionOrder": "v1" }, "staticData": null, "meta": { "templateCredsSetupCompleted": true }, "versionId": "b01c4d3c-ebc3-4774-a0e1-b598bc41f8da", "activeVersionId": null, "triggerCount": 0, "shared": [ { "updatedAt": "2025-11-21T18:29:25.702Z", "createdAt": "2025-11-21T18:29:25.702Z", "role": "workflow:owner", "workflowId": "FsE5BMhYYzTYRTwM", "projectId": "Jb2DFpuDeQFonpJH" } ], "activeVersion": null, "tags": [] }