317 lines
10 KiB
TypeScript
317 lines
10 KiB
TypeScript
import * as fs from "fs";
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import * as path from "path";
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// Load .env variables
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const envPath = path.join(__dirname, "../.env");
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if (fs.existsSync(envPath)) {
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const envContent = fs.readFileSync(envPath, "utf8");
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for (const line of envContent.split("\n")) {
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const match = line.match(/^\s*([\w.-]+)\s*=\s*(.*)\s*$/);
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if (match) {
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const key = match[1];
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let value = match[2].trim();
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if (value.startsWith('"') && value.endsWith('"')) value = value.slice(1, -1);
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else if (value.startsWith("'") && value.endsWith("'")) value = value.slice(1, -1);
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process.env[key] = value;
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}
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}
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}
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const N8N_HOST = process.env.N8N_HOST || "https://n8n.gaboggamer.online";
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const N8N_API_KEY = process.env.N8N_API_KEY;
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const GEMINI_API_KEY = process.env.GEMINI_API_KEY;
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const SUPABASE_URL = process.env.NEXT_PUBLIC_SUPABASE_URL;
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const SUPABASE_SECRET_KEY = process.env.SUPABASE_SECRET_KEY;
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if (!N8N_API_KEY) {
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console.error("Error: N8N_API_KEY is not defined in .env");
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process.exit(1);
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}
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async function n8nRequest(endpoint: string, method: string = "GET", body?: any) {
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const response = await fetch(`${N8N_HOST}${endpoint}`, {
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method,
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headers: {
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"X-N8N-API-KEY": N8N_API_KEY!,
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"Content-Type": "application/json",
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},
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body: body ? JSON.stringify(body) : undefined,
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});
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if (!response.ok) {
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const text = await response.text();
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throw new Error(`n8n API request failed: ${response.status} ${response.statusText} - ${text}`);
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}
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return response.json();
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}
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async function getOrCreateCredential(name: string, type: string, data: any) {
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try {
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const credsList = await n8nRequest("/api/v1/credentials");
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const existingCred = credsList.data.find((c: any) => c.name === name && c.type === type);
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if (existingCred) {
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console.log(`Reusing existing credential: ${name} (ID: ${existingCred.id})`);
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return existingCred.id;
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} else {
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const newCred = await n8nRequest("/api/v1/credentials", "POST", {
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name,
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type,
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data,
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});
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console.log(`Created new credential: ${name} (ID: ${newCred.id})`);
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return newCred.id;
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}
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} catch (err: any) {
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console.error(`Error setting up credential ${name}:`, err.message);
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process.exit(1);
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}
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}
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async function main() {
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console.log("Starting n8n Candidate Evaluation Flow deployment...");
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// 1. Create/Retrieve Supabase credential
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console.log("Checking Supabase credentials...");
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const supabaseCredId = await getOrCreateCredential("Semillero2_Supabase_V2", "supabaseApi", {
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host: SUPABASE_URL,
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serviceRole: SUPABASE_SECRET_KEY,
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allowedHttpRequestDomains: "none",
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});
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// 2. Create/Retrieve Gemini credential
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console.log("Checking Gemini credentials...");
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const geminiCredId = await getOrCreateCredential("Semillero2_Gemini_V2", "googlePalmApi", {
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apiKey: GEMINI_API_KEY,
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host: "https://generativelanguage.googleapis.com",
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allowedHttpRequestDomains: "none",
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});
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// 3. Define the E2E Candidate Evaluation workflow
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const workflowDefinition = {
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name: "Semillero2: End-to-End Candidate Evaluation",
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settings: {},
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nodes: [
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{
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parameters: {
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httpMethod: "POST",
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path: "evaluate-candidate",
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responseMode: "responseNode",
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options: {},
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},
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id: "webhook-trigger",
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name: "Webhook Trigger",
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type: "n8n-nodes-base.webhook",
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typeVersion: 1.1,
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position: [100, 300],
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},
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{
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parameters: {
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promptType: "Define below",
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text: "={{ $json.body.text }}",
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systemMessage: "You are an AI recruitment assistant evaluating a candidate's CV for a job vacancy. Analyze the candidate's CV text. You MUST respond with a raw JSON object containing exactly these five keys:\n- summary: a brief candidate summary (max 3 sentences).\n- classification: 'Qualified', 'Unqualified', or 'Review'.\n- suggestions: an array of recommendations for next steps (e.g. ['Schedule interview', 'Reject', 'Verify references']).\n- riskLevel: 'Low', 'Medium', or 'High'.\n- ai_score: a number between 0 and 100 representing general suitability.\n\nDo not include markdown code blocks or any text outside the JSON.",
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},
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id: "llm-chain",
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name: "LLM Chain Evaluation",
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type: "@n8n/n8n-nodes-langchain.chainLlm",
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typeVersion: 1.4,
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position: [350, 300],
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},
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{
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parameters: {
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model: "gemini-1.5-flash",
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options: {},
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},
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id: "gemini-model",
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name: "Gemini Chat Model",
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type: "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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typeVersion: 1,
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position: [300, 480],
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credentials: {
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googlePalmApi: {
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id: geminiCredId,
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name: "Semillero2_Gemini_V2",
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},
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},
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},
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{
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parameters: {
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jsonSchema: "{\n \"type\": \"object\",\n \"properties\": {\n \"summary\": {\n \"type\": \"string\"\n },\n \"classification\": {\n \"type\": \"string\",\n \"enum\": [\"Qualified\", \"Unqualified\", \"Review\"]\n },\n \"suggestions\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\"\n }\n },\n \"riskLevel\": {\n \"type\": \"string\",\n \"enum\": [\"Low\", \"Medium\", \"High\"]\n },\n \"ai_score\": {\n \"type\": \"number\"\n }\n },\n \"required\": [\"summary\", \"classification\", \"suggestions\", \"riskLevel\", \"ai_score\"]\n}",
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},
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id: "json-parser",
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name: "Structured Output Parser",
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type: "@n8n/n8n-nodes-langchain.outputParserStructured",
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typeVersion: 1,
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position: [460, 480],
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},
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{
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parameters: {
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jsCode: `const input = $input.first().json;
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const webhookData = $('Webhook Trigger').first().json.body;
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return [{
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json: {
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candidate_id: webhookData.candidateId,
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interview_id: webhookData.interviewId,
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ai_score: input.ai_score,
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evaluation: {
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summary: input.summary,
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classification: input.classification,
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suggestions: input.suggestions,
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riskLevel: input.riskLevel
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}
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}
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}];`,
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},
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id: "format-data",
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name: "Format Evaluation Data",
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type: "n8n-nodes-base.code",
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typeVersion: 2,
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position: [600, 300],
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},
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{
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parameters: {
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operation: "insert",
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table: "scores",
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options: {},
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},
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id: "supabase-insert",
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name: "Insert Score to Supabase",
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type: "n8n-nodes-base.supabase",
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typeVersion: 1,
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position: [800, 300],
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credentials: {
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supabaseApi: {
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id: supabaseCredId,
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name: "Semillero2_Supabase_V2",
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},
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},
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},
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{
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parameters: {
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options: {},
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},
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id: "respond-webhook",
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name: "Respond to Webhook",
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type: "n8n-nodes-base.respondToWebhook",
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typeVersion: 1.1,
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position: [1000, 300],
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},
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],
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connections: {
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"Webhook Trigger": {
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main: [
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[
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{
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node: "LLM Chain Evaluation",
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type: "main",
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index: 0,
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},
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],
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],
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},
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"Gemini Chat Model": {
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ai_languageModel: [
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[
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{
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node: "LLM Chain Evaluation",
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type: "ai_languageModel",
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index: 0,
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},
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],
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],
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},
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"Structured Output Parser": {
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outputParser: [
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[
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{
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node: "LLM Chain Evaluation",
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type: "outputParser",
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index: 0,
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},
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],
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],
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},
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"LLM Chain Evaluation": {
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main: [
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[
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{
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node: "Format Evaluation Data",
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type: "main",
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index: 0,
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},
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],
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],
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},
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"Format Evaluation Data": {
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main: [
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[
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{
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node: "Insert Score to Supabase",
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type: "main",
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index: 0,
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},
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],
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],
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},
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"Insert Score to Supabase": {
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main: [
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[
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{
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node: "Respond to Webhook",
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type: "main",
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index: 0,
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},
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],
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],
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},
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},
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};
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console.log("Deploying workflow to n8n...");
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// Check if it already exists
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const workflowsList = await n8nRequest("/api/v1/workflows");
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const existingWf = workflowsList.data.find(
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(w: any) => w.name === "Semillero2: End-to-End Candidate Evaluation"
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);
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let deployResult;
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if (existingWf) {
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console.log(`Updating existing workflow (ID: ${existingWf.id})...`);
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deployResult = await n8nRequest(`/api/v1/workflows/${existingWf.id}`, "PUT", workflowDefinition);
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} else {
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deployResult = await n8nRequest("/api/v1/workflows", "POST", workflowDefinition);
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}
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// Activate the workflow
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console.log(`Activating workflow (ID: ${deployResult.id})...`);
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await n8nRequest(`/api/v1/workflows/${deployResult.id}/activate`, "POST");
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const webhookUrl = `${N8N_HOST}/webhook/${deployResult.id}/webhook/evaluate-candidate`;
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console.log("\n==============================================");
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console.log("DEPLOYMENT COMPLETE");
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console.log("==============================================");
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console.log(`Workflow ID: ${deployResult.id}`);
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console.log(`Webhook URL: ${webhookUrl}`);
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console.log("==============================================");
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// Update .env file automatically
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const envFilePath = path.join(__dirname, "../.env");
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if (fs.existsSync(envFilePath)) {
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let envContent = fs.readFileSync(envFilePath, "utf8");
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if (envContent.includes("NEXT_PUBLIC_N8N_WEBHOOK_URL=")) {
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envContent = envContent.replace(
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/NEXT_PUBLIC_N8N_WEBHOOK_URL=.*/,
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`NEXT_PUBLIC_N8N_WEBHOOK_URL=${webhookUrl}`
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);
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} else {
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envContent += `\nNEXT_PUBLIC_N8N_WEBHOOK_URL=${webhookUrl}\n`;
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}
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fs.writeFileSync(envFilePath, envContent, "utf8");
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console.log("Updated NEXT_PUBLIC_N8N_WEBHOOK_URL in .env");
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}
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}
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main().catch((err) => {
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console.error("Deployment failed:", err);
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process.exit(1);
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});
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