{ "name": "Medallion", "nodes": [ { "parameters": { "projectId": { "__rl": true, "value": "gen-lang-client-0829338696", "mode": "id" }, "modelName": "gemini-2.0-flash", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleVertex", "typeVersion": 1, "position": [ 1584, 208 ], "id": "f2c84554-db96-45c2-b146-ba3bc883dae7", "name": "Google Vertex Chat Model", "credentials": { "googleApi": { "name": "" } } }, { "parameters": { "jsCode": "return [\n{\njson: {\ndata: [\n{ \"id\": \"S1-01\", \"amount\": 120.00, \"date\": \"2026-03-01\", \"description\": \"SUPERMERCADO\", \"institution_name\": \"BANCO A\" },\n{ \"transactionIdentifier\": \"S1-02\", \"value\": \"80.00\", \"bookingDate\": \"2026-03-02T10:00:00Z\", \"narrative\": \"POSTO GASOLINA\", \"institution_name\": \"BANCO B\" },\n{ \"txid\": \"S1-03\", \"amount\": 60.00, \"date\": \"2026-03-03\", \"description\": \"PADARIA\", \"institution_name\": \"BANCO A\" },\n{ \"transactionId\": \"S1-04\", \"value\": \"90.00\", \"bookingDate\": \"2026-03-04T12:00:00Z\", \"narrative\": \"FARMACIA\", \"institution_name\": \"BANCO B\" },\n{ \"id\": \"S1-05\", \"amount\": 150.00, \"date\": \"2026-03-05\", \"description\": \"ALUGUEL\", \"institution_name\": \"BANCO A\" }\n]\n}\n}\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 928, 160 ], "id": "38d3cdaf-da27-4cb8-9f8e-f4b269e1abb5", "name": "S200 - Camada Bronze (Raw Data)2" }, { "parameters": { "jsCode": "// Normaliza\u00e7\u00e3o de Payloads Multi-Banco (Silver Layer)\nconst items = $input.all();\n\n// Extra\u00edmos o array de transa\u00e7\u00f5es do payload bruto\nconst rawTransactions = items[0].json.data;\n\nconst normalizedData = rawTransactions.map(raw => {\n return {\n transaction_id: raw.id || raw.txid || raw.transactionIdentifier || raw.transactionId, // Normaliza IDs\n amount: parseFloat(raw.amount || raw.value).toFixed(2), // Garante o float com 2 casas\n currency: raw.currency || 'BRL',\n timestamp: new Date(raw.bookingDate || raw.date).toISOString(), // Padroniza para ISO 8601\n source_bank: raw.institution_name,\n category_raw: raw.description || raw.narrative // Unifica a descri\u00e7\u00e3o bruta\n };\n});\n\n// O N8N exige que o retorno seja um array de objetos encapsulados na chave 'json'\nreturn normalizedData.map(item => ({ json: item }));" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1168, 0 ], "id": "8533d03a-795e-415e-ac78-bf988650bde6", "name": "Camada Silver (Clean Data)" }, { "parameters": { "fieldsToAggregate": { "fieldToAggregate": [ { "fieldToAggregate": "transaction_id" }, { "fieldToAggregate": "amount" }, { "fieldToAggregate": "category_raw" } ] }, "options": {} }, "type": "n8n-nodes-base.aggregate", "typeVersion": 1, "position": [ 1376, 0 ], "id": "76781604-bb9a-47b9-851e-a80f93bbbbac", "name": "Aggregate" }, { "parameters": { "promptType": "define", "text": "={\n \"system_prompt\": {\n \"role\": \"Senior Financial Analyst\",\n \"expertise\": \"Open Finance Brazil\",\n \"task\": \"Process an array of raw transactions and return a categorized JSON object.\",\n \"business_rules\": {\n \"categorization\": \"Identify and classify each expense strictly as 'Essential', 'Leisure', or 'Investment'.\",\n \"esg_scoring\": \"Calculate an 'ESG Impact' score ranging from 0 to 10, based on the merchant's category.\"\n },\n \"output_constraints\": {\n \"format\": \"JSON\",\n \"schema\": {\n \"type\": \"array\",\n \"items\": {\n \"id\": \"string\",\n \"category\": \"string\",\n \"esg_score\": \"number\"\n }\n }\n },\n \"input\": \"Analyze the following real transactions and return ONLY the required JSON. Transactions: {{ JSON.stringify($json) }}\"\n }\n}", "options": {} }, "type": "@n8n/n8n-nodes-langchain.agent", "typeVersion": 3.1, "position": [ 1584, 0 ], "id": "4d3770a1-3fac-4c8f-910e-f82601d9f4b0", "name": "AI Agent" }, { "parameters": { "jsCode": "return [\n{\njson: {\ndata: [\n{ \"id\": \"S2-01\", \"amount\": 2000.00, \"date\": \"2026-03-01\", \"description\": \"SALARIO\", \"institution_name\": \"BANCO A\" },\n{ \"transactionIdentifier\": \"S2-02\", \"value\": \"400.00\", \"bookingDate\": \"2026-03-02T10:00:00Z\", \"narrative\": \"TESOURO DIRETO\", \"institution_name\": \"XP\" },\n{ \"txid\": \"S2-03\", \"amount\": 300.00, \"date\": \"2026-03-03\", \"description\": \"CDB BANCO\", \"institution_name\": \"INTER\" },\n{ \"transactionId\": \"S2-04\", \"value\": \"200.00\", \"bookingDate\": \"2026-03-04T12:00:00Z\", \"narrative\": \"FII LOGISTICA\", \"institution_name\": \"XP\" },\n{ \"id\": \"S2-05\", \"amount\": 100.00, \"date\": \"2026-03-05\", \"description\": \"SUPERMERCADO\", \"institution_name\": \"BANCO A\" }\n]\n}\n}\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 928, 0 ], "id": "43ac9187-8d83-4da8-9a41-e151debe28b5", "name": "S600 - Camada Bronze (Raw Data)" }, { "parameters": { "jsCode": "return [\n{\njson: {\ndata: [\n{ \"id\": \"S3-01\", \"amount\": 3500.00, \"date\": \"2026-03-01\", \"description\": \"SALARIO GLOBAL\", \"institution_name\": \"BANCO A\" },\n{ \"transactionIdentifier\": \"S3-02\", \"value\": \"500.00\", \"bookingDate\": \"2026-03-02T10:00:00Z\", \"narrative\": \"TESOURO SELIC\", \"institution_name\": \"XP\" },\n{ \"txid\": \"S3-03\", \"amount\": 400.00, \"date\": \"2026-03-03\", \"description\": \"CDB POS FIXADO\", \"institution_name\": \"INTER\" },\n{ \"transactionId\": \"S3-04\", \"value\": \"350.00\", \"bookingDate\": \"2026-03-04T12:00:00Z\", \"narrative\": \"FII ESG\", \"institution_name\": \"XP\" },\n{ \"id\": \"S3-05\", \"amount\": 300.00, \"date\": \"2026-03-05\", \"description\": \"ACOES ENERGIA LIMPA\", \"institution_name\": \"RICO\" },\n{ \"transactionIdentifier\": \"S3-06\", \"value\": \"200.00\", \"bookingDate\": \"2026-03-06T18:00:00Z\", \"narrative\": \"PREVIDENCIA PRIVADA\", \"institution_name\": \"BANCO A\" }\n]\n}\n}\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 928, -160 ], "id": "9db8a88e-6549-49fb-909b-93323a6c971b", "name": "S900 - Camada Bronze (Raw Data)" }, { "parameters": { "jsCode": "// 1. Busca os dados limpos diretamente do n\u00f3 da Camada Silver\nconst silverData = $('Camada Silver (Clean Data)').all();\nconst transactions = silverData.map(item => item.json);\n\n// 2. Captura a resposta do n\u00f3 Vertex AI (Agente)\n// Em n\u00f3s de IA do N8N, a resposta costuma vir em 'output', 'text' ou 'response'\nconst aiRawOutput = $input.first().json.output || $input.first().json.text || $input.first().json.response || \"\";\n\n// 3. Parser Robusto (Preven\u00e7\u00e3o de Erros de LLM)\n// Remove formata\u00e7\u00f5es Markdown indesejadas que o LLM possa ter inclu\u00eddo\nconst cleanJsonString = aiRawOutput.replace(/```json/gi, '').replace(/```/g, '').trim();\n\nlet ai_insights = [];\ntry {\n // Tenta converter a string gerada pela IA em um array de objetos reais\n ai_insights = JSON.parse(cleanJsonString);\n} catch (error) {\n throw new Error(\"Falha Cr\u00edtica: O Vertex AI n\u00e3o retornou um JSON v\u00e1lido. Retorno da IA: \" + aiRawOutput);\n}\n\n// 4. Vari\u00e1veis da F\u00f3rmula\nlet fluxoCaixa = 0;\nlet qtdInvestimentos = 0; \nlet esgTotal = 0;\n\n// 5. Merge entre o dado da API (Silver) e o Insight da IA (Gold)\nconst enrichedData = transactions.map(tx => {\n const insight = ai_insights.find(i => i.id === tx.transaction_id);\n const category = insight ? insight.category : \"Indefinido\";\n const esg = insight ? insight.esg_score : 5;\n \n fluxoCaixa += parseFloat(tx.amount);\n esgTotal += esg;\n \n if (category === \"Investment\") {\n qtdInvestimentos += 1; // Contabiliza a frequ\u00eancia de aportes\n }\n\n return {\n ...tx,\n category_enriched: category,\n esg_score: esg\n };\n});\n\n// 6. NORMALIZA\u00c7\u00c3O DAS GRANDEZAS (Teto 1000 para cada pilar)\n// Assume que R$ 5.000,00 de fluxo mensal \u00e9 o teto para nota m\u00e1xima neste pilar\nconst scoreFluxo = Math.min((fluxoCaixa / 5000) * 1000, 1000); \n\n// Assume que 5 aportes de investimento garantem nota m\u00e1xima neste pilar (200 pts por aporte)\nconst scoreInvestimento = Math.min(qtdInvestimentos * 200, 1000); \n\n// Fidelidade convertida para a escala de 1000 (ex: 850 = 85% de hist\u00f3rico positivo)\nconst scoreFidelidade = 850; \n\n// 7. Pesos e C\u00e1lculo da F\u00f3rmula\nconst W1 = 0.4;\nconst W2 = 0.3;\nconst W3 = 0.3;\n\nlet scoreFinal = (W1 * scoreFluxo) + (W2 * scoreInvestimento) + (W3 * scoreFidelidade);\n\n// 8. ESG Link (B\u00f4nus Verde)\nconst mediaEsg = transactions.length > 0 ? (esgTotal / transactions.length) : 5;\nif (mediaEsg >= 7) {\n scoreFinal *= 1.1; // B\u00f4nus Verde de 10%\n}\n\n// Garante que o score final jamais ultrapasse o limite regulat\u00f3rio de 1000\nconst scoreDefinitivo = Math.min(Math.round(scoreFinal), 1000);\n\nreturn [\n {\n json: {\n customer_id: \"USER-12345\",\n alternative_credit_score: scoreDefinitivo,\n average_esg_score: parseFloat(mediaEsg.toFixed(1)),\n transactions_enriched: enrichedData\n }\n }\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1904, 0 ], "id": "88cc9c69-7e90-4f9f-a777-1ef9b6ed9eed", "name": "Fus\u00e3o de Dados e C\u00e1lculo do Score Alternativo (Camada Gold)" }, { "parameters": { "jsCode": "return [\n{\njson: {\ndata: [\n{ \"id\": \"F0-01\", \"amount\": 3000.00, \"date\": \"2026-03-01\", \"description\": \"SALARIO EMPRESA TECH\", \"institution_name\": \"BANCO A\" },\n{ \"transactionIdentifier\": \"F0-02\", \"value\": \"1200.00\", \"bookingDate\": \"2026-03-02T10:00:00Z\", \"narrative\": \"BONUS PERFORMANCE\", \"institution_name\": \"BANCO A\" },\n{ \"txid\": \"F0-03\", \"amount\": 600.00, \"date\": \"2026-03-03\", \"description\": \"ALUGUEL APARTAMENTO\", \"institution_name\": \"BANCO A\" },\n{ \"transactionId\": \"F0-04\", \"value\": \"450.00\", \"bookingDate\": \"2026-03-04T12:00:00Z\", \"narrative\": \"SUPERMERCADO PREMIUM\", \"institution_name\": \"BANCO A\" },\n{ \"id\": \"F0-05\", \"amount\": 350.00, \"date\": \"2026-03-05\", \"description\": \"RESTAURANTES VARIOS\", \"institution_name\": \"BANCO A\" },\n{ \"transactionIdentifier\": \"F0-06\", \"value\": \"250.00\", \"bookingDate\": \"2026-03-06T18:00:00Z\", \"narrative\": \"VIAGEM AEREA\", \"institution_name\": \"BANCO A\" }\n]\n}\n}\n];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 928, 320 ], "id": "ad82c882-8fa4-46ac-949d-241bd94fd297", "name": "Max Invest - Camada Bronze (Raw Data)1" }, { "parameters": { "operation": "executeQuery", "query": "INSERT INTO customer_scores (customer_id, credit_score, esg_score, transactions_enriched)\nVALUES (\n '{{ $json.customer_id }}', \n {{ $json.alternative_credit_score }}, \n {{ $json.average_esg_score }}, \n '{{ JSON.stringify($json.transactions_enriched) }}'::jsonb\n)\nON CONFLICT (customer_id) \nDO UPDATE SET \n credit_score = EXCLUDED.credit_score,\n esg_score = EXCLUDED.esg_score,\n transactions_enriched = EXCLUDED.transactions_enriched,\n last_updated = CURRENT_TIMESTAMP;", "options": {} }, "type": "n8n-nodes-base.postgres", "typeVersion": 2.6, "position": [ 2112, 0 ], "id": "ba4b237e-cd82-4f80-b5b3-6e3ae26c4f00", "name": "Execute a SQL query", "credentials": { "postgres": { "name": "" } } }, { "parameters": { "operation": "executeQuery", "query": "INSERT INTO customer_scores (customer_id, credit_score, esg_score, transactions_enriched)\nVALUES (\n '{{ $json.customer_id }}', \n {{ $json.alternative_credit_score }}, \n {{ $json.average_esg_score }}, \n '{{ JSON.stringify($json.transactions_enriched) }}'::jsonb\n)\nON CONFLICT (customer_id) \nDO UPDATE SET \n credit_score = EXCLUDED.credit_score,\n esg_score = EXCLUDED.esg_score,\n transactions_enriched = EXCLUDED.transactions_enriched,\n last_updated = CURRENT_TIMESTAMP;", "options": {} }, "type": "n8n-nodes-base.postgres", "typeVersion": 2.6, "position": [ 2768, 688 ], "id": "7a056cfb-d693-49bc-9bdd-80f545efb26c", "name": "Seeding QUERY", "credentials": { "postgres": { "name": "" } } }, { "parameters": { "jsCode": "const categories = [\"Investment\", \"Essential\", \"Leisure\", \"Other\"];\n\nfunction generateTransactions(userIndex) {\n const txCount = Math.floor(Math.random() * 5) + 8; // 8 a 12 transa\u00e7\u00f5es\n const transactions = [];\n\n for (let i = 0; i < txCount; i++) {\n const category =\n categories[Math.floor(Math.random() * categories.length)];\n\nlet esg = 5.0;\n if (category === \"Investment\") esg = (Math.random() * (10 - 8) + 8).toFixed(1); // 8 a 10\n else if (category === \"Essential\") esg = (Math.random() * (7 - 5) + 5).toFixed(1); // 5 a 7\n else if (category === \"Leisure\") esg = (Math.random() * (5 - 2) + 2).toFixed(1); // 2 a 5\n else esg = (Math.random() * (6 - 4) + 4).toFixed(1); // 4 a 6\n\n transactions.push({\n id: `tx_${userIndex}_${i + 1}`,\n category_enriched: category,\n esg_score: parseFloat(esg) // <--- O CAMPO QUE ESTAVA FALTANDO!\n });\n }\n\n return transactions;\n}\n\nconst baseUsers = [\n { id: \"USER-901\", score: 985, esg: 9.1 },\n { id: \"USER-902\", score: 940, esg: 8.2 },\n { id: \"USER-903\", score: 910, esg: 7.8 },\n { id: \"USER-750A\", score: 880, esg: 7.5 },\n { id: \"USER-760B\", score: 845, esg: 6.8 },\n { id: \"USER-770C\", score: 810, esg: 6.2 },\n { id: \"USER-780D\", score: 775, esg: 7.2 },\n { id: \"USER-790E\", score: 760, esg: 5.9 },\n { id: \"USER-600A\", score: 690, esg: 5.5 },\n { id: \"USER-610B\", score: 670, esg: 4.8 },\n { id: \"USER-620C\", score: 655, esg: 6.1 },\n { id: \"USER-630D\", score: 640, esg: 5.2 },\n { id: \"USER-640E\", score: 615, esg: 5.0 },\n { id: \"USER-400A\", score: 590, esg: 6.4 },\n { id: \"USER-410B\", score: 560, esg: 4.3 },\n { id: \"USER-420C\", score: 530, esg: 5.7 },\n { id: \"USER-430D\", score: 505, esg: 3.9 },\n { id: \"USER-440E\", score: 480, esg: 6.0 },\n { id: \"USER-200A\", score: 390, esg: 4.1 },\n { id: \"USER-210B\", score: 360, esg: 3.5 },\n { id: \"USER-220C\", score: 330, esg: 2.9 },\n { id: \"USER-230D\", score: 295, esg: 3.2 },\n { id: \"USER-240E\", score: 250, esg: 2.8 },\n { id: \"USER-MIX1\", score: 720, esg: 8.0 },\n { id: \"USER-MIX2\", score: 810, esg: 9.0 },\n { id: \"USER-MIX3\", score: 670, esg: 6.9 },\n { id: \"USER-MIX4\", score: 590, esg: 7.2 },\n { id: \"USER-MIX5\", score: 880, esg: 8.7 },\n { id: \"USER-EDGE1\", score: 1000, esg: 9.9 },\n { id: \"USER-EDGE2\", score: 0, esg: 1.0 },\n { id: \"USER-EDGE3\", score: 850, esg: 6.99 },\n { id: \"USER-EDGE4\", score: 860, esg: 7.0 }\n];\n\nconst seedData = baseUsers.map((user, index) => ({\n customer_id: user.id,\n alternative_credit_score: user.score,\n average_esg_score: user.esg,\n transactions_enriched: generateTransactions(index)\n}));\n\nreturn seedData.map(item => ({ json: item }));" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2432, 688 ], "id": "3ffb14ce-2571-4bea-9c95-a58b6bf730fb", "name": "Seeding DATASET" }, { "parameters": { "content": "\u2699\ufe0f Microsservi\u00e7o 2: Pipeline Medallion & IA (RF02 a RF04)\nPadr\u00e3o: ETL / Batch Processing / RAG\n\nEste \u00e9 o motor ass\u00edncrono (Background Worker) do Hub. N\u00e3o bloqueia a tela do usu\u00e1rio.\n\u2022 Camada Bronze: Ingest\u00e3o de dados brutos e despadronizados de m\u00faltiplos bancos.\n\u2022 Camada Silver: Limpeza, normaliza\u00e7\u00e3o de datas (ISO 8601) e tipagem (Float).\n\u2022 Agente IA (Vertex): Uso de RAG e Chain-of-Thought para categoriza\u00e7\u00e3o sem\u00e2ntica rigorosa e c\u00e1lculo de impacto ESG.\n\u2022 Camada Gold: Fus\u00e3o de dados (Merge) e c\u00e1lculo matem\u00e1tico do Score Alternativo de Cr\u00e9dito (0 a 1000).\n\u2022 Persist\u00eancia: Upsert do JSONB enriquecido no banco de dados PostgreSQL.", "height": 192, "width": 848, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 1168, -256 ], "id": "b6e353e8-b3eb-4708-b736-bb3232b70697", "name": "Sticky Note" }, { "parameters": { "inputSource": "passthrough" }, "type": "n8n-nodes-base.executeWorkflowTrigger", "typeVersion": 1.1, "position": [ 672, 0 ], "id": "ca692fd9-aa3d-4ee5-97ec-2d176f425273", "name": "When Executed by Another Workflow" } ], "connections": { "Camada Silver (Clean Data)": { "main": [ [ { "node": "Aggregate", "type": "main", "index": 0 } ] ] }, "Aggregate": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "AI Agent": { "main": [ [ { "node": "Fus\u00e3o de Dados e C\u00e1lculo do Score Alternativo (Camada Gold)", "type": "main", "index": 0 } ] ] }, "Google Vertex Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "S600 - Camada Bronze (Raw Data)": { "main": [ [ { "node": "Camada Silver (Clean Data)", "type": "main", "index": 0 } ] ] }, "S200 - Camada Bronze (Raw Data)2": { "main": [ [] ] }, "S900 - Camada Bronze (Raw Data)": { "main": [ [] ] }, "Max Invest - Camada Bronze (Raw Data)1": { "main": [ [] ] }, "Fus\u00e3o de Dados e C\u00e1lculo do Score Alternativo (Camada Gold)": { "main": [ [ { "node": "Execute a SQL query", "type": "main", "index": 0 } ] ] }, "Seeding DATASET": { "main": [ [ { "node": "Seeding QUERY", "type": "main", "index": 0 } ] ] }, "When Executed by Another Workflow": { "main": [ [ { "node": "S600 - Camada Bronze (Raw Data)", "type": "main", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1", "availableInMCP": false, "timeSavedMode": "fixed", "saveDataSuccessExecution": "all", "callerPolicy": "workflowsFromSameOwner", "executionTimeout": -1, "binaryMode": "separate" }, "versionId": "6076ccc2-b069-4da5-9902-7b9733666a3e", "meta": { "templateCredsSetupCompleted": true }, "id": "SGMCcgT3a5Ggi8JP", "tags": [] }