{ "name": "Bayer PH - Workflow 2", "nodes": [ { "parameters": { "method": "POST", "url": "https://adb-8164385335211286.6.azuredatabricks.net/api/2.0/sql/statements", "authentication": "genericCredentialType", "genericAuthType": "httpBearerAuth", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Connection", "value": "keep-alive" }, { "name": "Keep-Alive", "value": "timeout=600" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"on_wait_timeout\": \"CANCEL\",\n \"statement\": \"SELECT *, element_at(filter(PAYMENT_DATA, p -> p.BLOCKED = true AND to_date(p.NET_DUE_DATE) >= current_date() AND to_date(p.NET_DUE_DATE) < date_add(current_date(), 10)), 1).NET_DUE_DATE AS NET_DUE_DATE, element_at(PURCHASE_ORDER_NUMBERS, 1).PURCHASE_ORDER_NUMBER AS PO_NUMBER FROM generaldiscovery_intfc_procurement_r.proc_pi_invoice_status_fosm_intfc WHERE exists(PAYMENT_DATA, p -> p.BLOCKED = true AND to_date(p.NET_DUE_DATE) >= current_date() AND to_date(p.NET_DUE_DATE) < date_add(current_date(), 10)) ORDER BY NET_DUE_DATE ASC LIMIT 10;\",\n \"wait_timeout\": \"50s\",\n \"warehouse_id\": \"638730ddd6aa4c47\"\n}", "options": { "timeout": 55000 } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.3, "position": [ 320, -64 ], "id": "e466230d-9f7a-40fd-853f-20848adb39a7", "name": "Fetch DBX", "credentials": { "httpBearerAuth": { "id": "ENI2fMKkg6U9IpZU", "name": "QA - Databricks" } } }, { "parameters": { "jsCode": "// ============================================================\n// Databricks SQL Result → Structured JSON/YAML Converter\n// ============================================================\n\nconst raw = $input.item.json;\n\n// outputFormat: read from the item if present, otherwise default to 'json'\n// To make this dynamic, add an \"outputFormat\" field in the node before this one\n// const outputFormat = (raw.outputFormat ?? 'json').toLowerCase();\nconst OUTPUT_FORMAT = 'json';\n\n// Fields where null/empty is meaningful and must NOT be stripped.\n// Add to this list if your business logic relies on detecting absence.\nconst KEEP_NULL_FIELDS = new Set([\n 'GR_QUANTITY_TOTAL_ERP',\n 'IR_QUANTITY_TOTAL_ERP',\n 'ORIGINATING_SYSTEM_SB',\n 'PURCHASING_TOOL',\n]);\n\n// ── helpers ──────────────────────────────────────────────────\n\nfunction tryParseJson(value) {\n if (typeof value !== 'string') return value;\n const t = value.trim();\n if (t.startsWith('[') || t.startsWith('{')) {\n try { return JSON.parse(t); } catch (_) {}\n }\n return value;\n}\n\nfunction parseStructFields(typeText) {\n const m = typeText.match(/STRUCT<(.+)>$/is);\n if (!m) return null;\n const inner = m[1];\n const fields = [];\n let depth = 0, current = '';\n for (const ch of inner) {\n if (ch === '<') { depth++; current += ch; }\n else if (ch === '>') { depth--; current += ch; }\n else if (ch === ',' && depth === 0){ fields.push(current.trim()); current = ''; }\n else { current += ch; }\n }\n if (current.trim()) fields.push(current.trim());\n return fields.map(f => {\n const nm = f.match(/^(\\w+)\\s*:/);\n return nm ? nm[1] : f.split(':')[0].trim();\n });\n}\n\nfunction castValue(value, column) {\n if (value === null || value === undefined) return null;\n const typeName = (column.type_name || '').toUpperCase();\n\n if (typeName === 'ARRAY') {\n const structFields = parseStructFields(column.type_text || '');\n const parsed = tryParseJson(value);\n if (Array.isArray(parsed)) {\n if (structFields) {\n return parsed.map(item => {\n if (Array.isArray(item)) {\n const obj = {};\n structFields.forEach((f, i) => { obj[f] = item[i] !== undefined ? item[i] : null; });\n return obj;\n }\n if (typeof item === 'object' && item !== null) return item;\n return item;\n });\n }\n return parsed;\n }\n return parsed;\n }\n\n if (['LONG','INT','INTEGER','BIGINT','SHORT','BYTE'].includes(typeName)) {\n const n = Number(value); return isNaN(n) ? value : n;\n }\n if (['DECIMAL','FLOAT','DOUBLE'].includes(typeName)) {\n const n = parseFloat(value); return isNaN(n) ? value : n;\n }\n if (typeName === 'BOOLEAN') {\n if (value === 'true' || value === true) return true;\n if (value === 'false' || value === false) return false;\n return value;\n }\n return value;\n}\n\n// ── null / empty stripper ────────────────────────────────────\n// Removes fields where the value is null, undefined, empty string,\n// empty array, or empty object - UNLESS the key is in KEEP_NULL_FIELDS.\n\nfunction isEmpty(value) {\n if (value === null || value === undefined) return true;\n if (value === '') return true;\n if (Array.isArray(value) && value.length === 0) return true;\n if (typeof value === 'object' && !Array.isArray(value) && Object.keys(value).length === 0) return true;\n return false;\n}\n\nfunction stripEmpty(value, keyName) {\n // Preserve meaningful nulls on protected fields\n if (keyName && KEEP_NULL_FIELDS.has(keyName)) return value;\n\n if (Array.isArray(value)) {\n const cleaned = value\n .map(v => stripEmpty(v, null))\n .filter(v => !isEmpty(v));\n return cleaned;\n }\n\n if (value !== null && typeof value === 'object') {\n const out = {};\n for (const [k, v] of Object.entries(value)) {\n const cleaned = stripEmpty(v, k);\n if (KEEP_NULL_FIELDS.has(k) || !isEmpty(cleaned)) {\n out[k] = cleaned;\n }\n }\n return out;\n }\n\n return value;\n}\n\n// ── YAML serialiser ───────────────────────────────────────────\n\nfunction yamlScalar(value, indent) {\n if (value === null || value === undefined) return 'null';\n if (typeof value === 'boolean') return String(value);\n if (typeof value === 'number') return String(value);\n\n const s = String(value);\n const needsQuote =\n s === '' ||\n s === 'null' || s === 'true' || s === 'false' ||\n /^[\\s]|[\\s]$/.test(s) ||\n /[:#\\[\\]{},&*?|<>=!%@`\"']/.test(s) ||\n /^\\d/.test(s) ||\n s.includes('\\n');\n\n if (!needsQuote) return s;\n\n if (s.includes('\\n')) {\n const pad = ' '.repeat(indent + 1);\n return '|-\\n' + s.split('\\n').map(l => pad + l).join('\\n');\n }\n\n return '\"' + s.replace(/\\\\/g, '\\\\\\\\').replace(/\"/g, '\\\\\"') + '\"';\n}\n\nfunction yamlValue(value, indent) {\n if (value === null || value === undefined) return 'null';\n if (typeof value !== 'object') return yamlScalar(value, indent);\n\n if (Array.isArray(value)) {\n if (value.length === 0) return '[]';\n const pad = ' '.repeat(indent);\n return value.map(item => {\n if (item !== null && typeof item === 'object' && !Array.isArray(item)) {\n const keys = Object.keys(item);\n if (keys.length === 0) return `\\n${pad}- {}`;\n return keys.map((k, i) => {\n const v = item[k];\n const valStr = (v !== null && typeof v === 'object')\n ? yamlValue(v, indent + 2)\n : ' ' + yamlScalar(v, indent + 1);\n const prefix = i === 0 ? `\\n${pad}- ` : `\\n${pad} `;\n return `${prefix}${k}:${typeof v === 'object' && v !== null && yamlValue(v, indent+2).startsWith('\\n') ? yamlValue(v, indent+2) : valStr}`;\n }).join('');\n }\n return `\\n${pad}- ${yamlValue(item, indent + 1)}`;\n }).join('');\n }\n\n // Mapping\n const keys = Object.keys(value);\n if (keys.length === 0) return '{}';\n const pad = ' '.repeat(indent);\n return keys.map(k => {\n const v = value[k];\n if (v !== null && typeof v === 'object') {\n const inner = yamlValue(v, indent + 1);\n return `\\n${pad}${k}:${inner.startsWith('\\n') ? inner : ' ' + inner}`;\n }\n return `\\n${pad}${k}: ${yamlScalar(v, indent)}`;\n }).join('');\n}\n\nfunction toYaml(records) {\n if (!Array.isArray(records) || records.length === 0) return 'result: []\\n';\n\n // ── Top-level wrapper: \"result:\" with indented list items ──\n const lines = ['result:'];\n\n for (const record of records) {\n const keys = Object.keys(record);\n if (keys.length === 0) { lines.push(' - {}'); continue; }\n\n keys.forEach((k, i) => {\n const v = record[k];\n const prefix = i === 0 ? ' - ' : ' ';\n\n if (v !== null && typeof v === 'object') {\n const inner = yamlValue(v, 3);\n // inner starts with \\n for block style\n lines.push(`${prefix}${k}:${inner.startsWith('\\n') ? inner : ' ' + inner}`);\n } else {\n lines.push(`${prefix}${k}: ${yamlScalar(v, 2)}`);\n }\n });\n }\n\n return lines.join('\\n') + '\\n';\n}\n\n// ── Main transformation ───────────────────────────────────────\n\nconst columns = raw?.manifest?.schema?.columns ?? [];\nconst dataArray = raw?.result?.data_array ?? [];\n\nconst sortedColumns = [...columns].sort((a, b) => a.position - b.position);\n\nconst rawRecords = dataArray.map(row => {\n const record = {};\n for (const col of sortedColumns) {\n record[col.name] = castValue(row[col.position], col);\n }\n return record;\n});\n\n// Strip nulls / empty values (preserving protected fields)\nconst records = rawRecords.map(r => stripEmpty(r, null));\n\n// ── Output ────────────────────────────────────────────────────\n\nif (OUTPUT_FORMAT === 'yaml') {\n return {\n json: {\n output: toYaml(records),\n format: 'yaml',\n rowCount: records.length\n }\n };\n} else {\n return {\n json: {\n output: {\n result: records\n },\n format: 'json',\n rowCount: records.length\n }\n };\n}" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 544, -64 ], "id": "c80beb6f-37cf-4faf-90b1-8e0e3306f244", "name": "Parse response to json or yaml" }, { "parameters": { "jsCode": "const toRecipients = String($('Recipients').first().json.to || '')\n .split(/[;,]/).map(s => s.trim()).filter(Boolean)\n .map(address => ({ emailAddress: { address } }));\n\nconst ccRecipients = String($('Recipients').first().json.cc || '')\n .split(/[;,]/).map(s => s.trim()).filter(Boolean)\n .map(address => ({ emailAddress: { address } }));\n\nconst res = $input.first().json;\nlet rows = (res.output && res.output.result) ? res.output.result\n : (Array.isArray(res.result) ? res.result : []);\n\nconst LOGO_B64 = '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';\n\nconst today = new Date(); today.setHours(0,0,0,0);\nconst MAX_ROWS = 25;\nconst sym = { EUR:'€', USD:'$', GBP:'£', SEK:'kr ', NOK:'kr ', DKK:'kr ', CHF:'CHF ', PLN:'zł ' };\nconst esc = (s) => String(s == null ? '' : s).replace(/&/g,'&').replace(//g,'>');\nconst money = (a, c) => {\n if (a === null || a === undefined || a === '') return '—';\n const n = Number(a); if (isNaN(n)) return String(a);\n return (sym[c] || (c ? c + ' ' : '')) + n.toLocaleString('en-US', { minimumFractionDigits: 2, maximumFractionDigits: 2 });\n};\nconst dateUK = (d) => {\n if (!d) return '—';\n const dt = new Date(d); if (isNaN(dt)) return String(d);\n return dt.toLocaleDateString('en-GB', { day:'2-digit', month:'short', year:'numeric' });\n};\nconst dueDays = (d) => {\n if (!d) return null;\n const dt = new Date(d); if (isNaN(dt)) return null;\n dt.setHours(0,0,0,0);\n return Math.round((dt - today) / 86400000);\n};\nconst fmtN = (x) => x.toLocaleString('en-US');\n\nconst logoHtml = `\"Bayer\"`;\n\nrows.sort((a, b) => (new Date(a.NET_DUE_DATE || 0)) - (new Date(b.NET_DUE_DATE || 0)));\nconst total = rows.length;\nlet overdue = 0;\nconst sums = {};\nrows.forEach(r => {\n const d = dueDays(r.NET_DUE_DATE);\n if (d !== null && d < 0) overdue++;\n const c = r.DOCUMENT_CURRENCY || '';\n const n = Number(r.INVOICE_TOTAL_AMOUNT_DC);\n if (!isNaN(n)) sums[c] = (sums[c] || 0) + n;\n});\nconst curList = Object.entries(sums).sort((a, b) => b[1] - a[1]);\nlet totalMain = '—', totalSub = '';\nif (curList.length) {\n totalMain = money(curList[0][1], curList[0][0]);\n if (curList.length > 1) totalSub = 'across ' + curList.length + ' currencies';\n}\n\nconst shown = rows.slice(0, MAX_ROWS);\nconst rowHtml = shown.map(r => {\n const ref = r.REFERENCE_NUMBER || '—';\n const vendor = r.VENDOR_NAME || 'Unknown vendor';\n const po = r.PO_NUMBER\n || (Array.isArray(r.PURCHASE_ORDER_NUMBERS) && r.PURCHASE_ORDER_NUMBERS[0] && r.PURCHASE_ORDER_NUMBERS[0].PURCHASE_ORDER_NUMBER)\n || '—';\n const dueRaw = r.NET_DUE_DATE || null;\n const days = dueDays(dueRaw);\n let accent='#00BCFF', bg='#e6f4fb', txt='#00617f', label='due';\n if (days !== null) {\n if (days < 0) { accent='#d92d20'; bg='#fdecea'; txt='#b42318'; label = Math.abs(days) + ' days overdue'; }\n else if (days <= 3) { accent='#f79009'; bg='#fff4e5'; txt='#b54708'; label = days === 0 ? 'due today' : 'due in ' + days + ' days'; }\n else { label = 'due in ' + days + ' days'; }\n }\n const descHtml = r.description\n ? `
${esc(r.description)}
`\n : '';\n return `\n  \n \n \n
${esc(vendor)}
\n
REF ${esc(ref)} · PO ${esc(po)}
\n ${descHtml}\n \n \n ${label}\n
${dateUK(dueRaw)}
\n \n ${money(r.INVOICE_TOTAL_AMOUNT_DC, r.DOCUMENT_CURRENCY || '')}\n `;\n}).join('');\n\nconst empty = `No invoices are currently due.`;\nconst reportDate = today.toLocaleDateString('en-GB', { day:'2-digit', month:'long', year:'numeric' });\n\nconst html = `\n\n
\n\n \n \n \n \n
\n \n \n
  
\n
\n ${logoHtml}\n
Invoices due for your attention
\n
As of ${reportDate} · ${fmtN(total)} invoices need action
\n
 
\n
\n
Hi there,
\n
The following invoices linked to your account are due. Overdue items are flagged in red.
\n \n \n \n \n \n \n
Invoices due
${fmtN(total)}
 
Overdue
${fmtN(overdue)}
 
Total due
${totalMain}
${totalSub ? `
${totalSub}
` : ''}
\n \n \n \n \n \n \n ${rowHtml || empty}\n \n
Vendor / InvoiceDue dateAmount
 
\n
\n
BAYER
\n
Automated summary from Microflow. Amounts shown in document currency. Reply to this email or contact procurement support with questions.
\n
\n
\n`;\n\nconst subject = `${fmtN(total)} invoice(s) due — ${fmtN(overdue)} overdue`;\n\nconst payload = {\n message: {\n subject,\n body: { contentType: 'HTML', content: html },\n toRecipients,\n ccRecipients,\n attachments: [{\n '@odata.type': '#microsoft.graph.fileAttachment',\n name: 'bayer.png',\n contentType: 'image/png',\n isInline: true,\n contentId: 'bayerlogo',\n contentBytes: LOGO_B64\n }]\n },\n saveToSentItems: true\n};\n\nreturn [{ json: { payload, subject, total_count: total, overdue_count: overdue } }];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1568, -64 ], "id": "1ccf0103-6bc5-4fb5-bc89-6a01e0fa9c59", "name": "Build HTML Email" }, { "parameters": { "assignments": { "assignments": [ { "id": "f85ccc52-f310-498e-a119-9b47e58581d4", "name": "to", "value": "aemal.sayer@avanai.io", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 96, -64 ], "id": "a2271ae9-456a-4d16-9f87-8021ab5ad84a", "name": "Recipients" }, { "parameters": { "fieldToSplitOut": "output.result", "options": {} }, "type": "n8n-nodes-base.splitOut", "typeVersion": 1, "position": [ 768, -64 ], "id": "7b7adc33-d413-4f51-8771-6ea46548eb01", "name": "Split Out" }, { "parameters": { "jsonSchemaExample": "{\n \"REFERENCE_NUMBER\": \"5500001551\",\n \"VENDOR_NAME\": \"Bayer Ariba SCC DE1\",\n \"PO_NUMBER\": \"2170076015\",\n \"NET_DUE_DATE\": \"2026-06-19\",\n \"INVOICE_TOTAL_AMOUNT_DC\": 4641,\n \"DOCUMENT_CURRENCY\": \"EUR\",\n \"description\": \"Invoice from Bayer Ariba SCC DE1 for 4,641 EUR due 19 Jun 2026, blocked for price/quantity mismatch on PO 2170076015.\"\n}" }, "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "typeVersion": 1.3, "position": [ 1184, 160 ], "id": "fb640a59-4240-455d-9504-ddf2fa0c0e0c", "name": "Structured Output Parser" }, { "parameters": { "fieldsToAggregate": { "fieldToAggregate": [ { "fieldToAggregate": "output", "renameField": true, "outputFieldName": "result" } ] }, "options": {} }, "type": "n8n-nodes-base.aggregate", "typeVersion": 1, "position": [ 1344, -64 ], "id": "b82c571e-4ffc-44ff-9c5e-77b488565d35", "name": "Aggregate" }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "typeVersion": 1.2, "position": [ 944, 160 ], "id": "faf5c41f-46cb-4cac-b5fd-0ebab58ba2d7", "name": "MGA", "credentials": { "openAiApi": { "id": "8VD37B3VjsV90xtg", "name": "MGA - Bayer" } } }, { "parameters": { "rule": { "interval": [ { "triggerAtHour": 9 } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.3, "position": [ -128, -64 ], "id": "09d210d0-59ee-447b-ac30-df8439c32ba9", "name": "Schedule Trigger" }, { "parameters": { "promptType": "define", "text": "=Invoice data (JSON):\n{{ JSON.stringify($json) }}", "hasOutputParser": true, "options": { "systemMessage": "You are a procurement analyst assistant at Bayer. You receive the COMPLETE JSON record for one supplier invoice. Return a JSON object with these fields:\n- REFERENCE_NUMBER, VENDOR_NAME, NET_DUE_DATE, INVOICE_TOTAL_AMOUNT_DC, DOCUMENT_CURRENCY: copy EXACTLY from the input. Never change numbers or dates.\n- PO_NUMBER: use PO_NUMBER, else PURCHASE_ORDER_NUMBERS[0].PURCHASE_ORDER_NUMBER.\n- description: EXACTLY ONE sentence, max 30 words, factual analysis for an approver (vendor, amount+currency, due/overdue, payment block/reason, PO, notable flags). Use only provided data. No markdown.\nOutput only the JSON object." } }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 1.7, "position": [ 992, -64 ], "id": "4c10bf14-bbfc-42f9-89fc-2c3125ad87fe", "name": "AI Agent", "retryOnFail": true }, { "parameters": { "method": "POST", "url": "https://graph.microsoft.com/v1.0/me/sendMail", "authentication": "predefinedCredentialType", "nodeCredentialType": "microsoftOutlookOAuth2Api", "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify($json.payload) }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [ 1792, -64 ], "id": "30a39438-b4f3-4d19-aca5-a34ea1f8eb57", "name": "Send Email", "credentials": { "microsoftOutlookOAuth2Api": { "id": "EaO0sPk3aeT30PvG", "name": "Microsoft Outlook account FLOW" } } } ], "pinData": {}, "connections": { "Fetch DBX": { "main": [ [ { "node": "Parse response to json or yaml", "type": "main", "index": 0 } ] ] }, "Parse response to json or yaml": { "main": [ [ { "node": "Split Out", "type": "main", "index": 0 } ] ] }, "Build HTML Email": { "main": [ [ { "node": "Send Email", "type": "main", "index": 0 } ] ] }, "Recipients": { "main": [ [ { "node": "Fetch DBX", "type": "main", "index": 0 } ] ] }, "Split Out": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "AI Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "Aggregate": { "main": [ [ { "node": "Build HTML Email", "type": "main", "index": 0 } ] ] }, "MGA": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Schedule Trigger": { "main": [ [ { "node": "Recipients", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Aggregate", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1", "binaryMode": "separate", "availableInMCP": false }, "versionId": "2592310b-cc7e-443c-96df-68be329a1d0b", "meta": { "templateCredsSetupCompleted": true, "instanceId": "001309b9a164202f2985c1d8d866889efcbea70a119463cc5254d24cb015b3cd" }, "nodeGroups": [], "id": "grDvlTF1m0MOqUhp", "tags": [] }