personalization-middleware/dist/index.mjs.map

Next.js middleware for request-based personalization

{"version":3,"sources":["../src/middleware.ts","../src/contextCollector.ts","../src/segmentEvaluator.ts"],"sourcesContent":["import { NextRequest, NextResponse } from \"next/server\";\nimport { collectRequestContext } from \"./contextCollector\";\nimport { createSegmentEvaluator } from \"./segmentEvaluator\";\n\nexport interface MiddlewareConfig {\n  /**\n   * The API endpoint that evaluates segments based on context\n   */\n  apiEndpoint: string;\n\n  /**\n   * API key for authentication\n   */\n  apiKey: string;\n\n  /**\n   * Custom header name for segments (default: 'x-user-segments')\n   */\n  headerName?: string;\n}\n\nconst DEFAULT_CONFIG = {\n  headerName: \"x-user-segments\",\n};\n\nexport function createMiddleware(config: MiddlewareConfig) {\n  const finalConfig = { ...DEFAULT_CONFIG, ...config };\n  const evaluator = createSegmentEvaluator({\n    apiEndpoint: config.apiEndpoint,\n    apiKey: config.apiKey,\n  });\n\n  return async function middleware(request: NextRequest) {\n    console.log(\"🔍 Middleware triggered for:\", request.url);\n\n    try {\n      // 1. Collect context from the request\n      const context = collectRequestContext(request);\n\n      // 2. Evaluate segments using the context\n      const result = await evaluator.evaluateSegments(context);\n\n      console.log(\"🔍 Result:\", result);\n\n      // 3. Create a single response\n      const response = NextResponse.next();\n\n      // 4. Set the header by joining the segment strings directly\n      const segments = result.segments?.join(\",\") || \"\";\n      response.headers.set(finalConfig.headerName, segments);\n\n      // 5. Return the response\n      return response;\n    } catch (error) {\n      // In case of any error from the above steps, log it and return\n      // a clean response with an empty segment header.\n      console.error(\"Personalization middleware error:\", error);\n      const response = NextResponse.next();\n      response.headers.set(finalConfig.headerName, \"\");\n      return response;\n    }\n  };\n}\n\n// Export a default middleware creator for convenience\nexport const createPersonalizationMiddleware = createMiddleware;\n\nexport const config = {\n  matcher: [\"/((?!_next/static|_next/image|favicon.ico|public/).*)\"],\n};\n","import { NextRequest } from \"next/server\";\nimport { UAParser } from \"ua-parser-js\";\nimport { RequestContext, UtmParams } from \"./types\";\n\nconst SESSION_COOKIE_NAME = \"personalization_session\";\nconst USER_ID_COOKIE_NAME = \"user_id\";\n\nfunction extractDeviceInfo(userAgent: string) {\n  const parser = new UAParser(userAgent);\n  const browser = parser.getBrowser();\n  const os = parser.getOS();\n  const device = parser.getDevice();\n\n  return {\n    deviceType: device.type || undefined,\n    browser: browser.name || undefined,\n    os: os.name || undefined,\n  };\n}\n\nfunction extractUtmParams(request: NextRequest): UtmParams {\n  const searchParams = request.nextUrl.searchParams;\n  const utm: UtmParams = {};\n\n  for (const [key, value] of searchParams.entries()) {\n    if (key.startsWith(\"utm_\")) {\n      utm[key as keyof UtmParams] = value;\n    }\n  }\n\n  return utm;\n}\n\n// This would typically be replaced with a real geolocation service\n// For now, we'll extract it from a header if available\nfunction extractGeolocation(request: NextRequest) {\n  const geoHeader = request.headers.get(\"x-geo-location\");\n  if (!geoHeader) return undefined;\n\n  try {\n    return JSON.parse(geoHeader);\n  } catch {\n    return undefined;\n  }\n}\n\nexport function collectRequestContext(request: NextRequest): RequestContext {\n  const userAgent = request.headers.get(\"user-agent\") || \"\";\n\n  return {\n    utm: extractUtmParams(request),\n    device: extractDeviceInfo(userAgent),\n    geolocation: extractGeolocation(request),\n    userId: request.cookies.get(USER_ID_COOKIE_NAME)?.value,\n    sessionId: request.cookies.get(SESSION_COOKIE_NAME)?.value,\n    referrer: request.headers.get(\"referer\") || undefined,\n    // Add any custom attributes here if needed\n    customAttributes: {},\n  };\n}\n","import {\n  RequestContext,\n  Segment,\n  SegmentEvaluationResult,\n  SegmentEvaluatorConfig,\n} from \"./types\";\n\nexport class SegmentEvaluator {\n  private config: Required<SegmentEvaluatorConfig>;\n\n  constructor(config: SegmentEvaluatorConfig) {\n    this.config = {\n      timeout: 5000,\n      maxRetries: 2,\n      ...config,\n    };\n  }\n\n  async evaluateSegments(\n    context: RequestContext\n  ): Promise<SegmentEvaluationResult> {\n    try {\n      console.log(\n        `[SegmentEvaluator] Fetching segments from ${this.config.apiEndpoint}`\n      );\n      const response = await fetch(this.config.apiEndpoint, {\n        method: \"POST\",\n        headers: {\n          \"Content-Type\": \"application/json\",\n          Authorization: `Bearer ${this.config.apiKey}`,\n        },\n        body: JSON.stringify({ context }),\n      });\n\n      if (!response.ok) {\n        console.error(\n          `[SegmentEvaluator] API request failed with status: ${response.status}`\n        );\n        const errorBody = await response.text();\n        console.error(`[SegmentEvaluator] Error body: ${errorBody}`);\n        // Do not throw, return a safe value\n        return { segments: [], context, timestamp: Date.now(), requestId: \"\" };\n      }\n\n      const result = await response.json();\n      console.log(`[SegmentEvaluator] Successfully received segments.`);\n      return result;\n    } catch (error) {\n      console.error(\n        \"[SegmentEvaluator] Critical error during segment evaluation:\",\n        error\n      );\n      // Do not throw, return a safe value\n      return { segments: [], context, timestamp: Date.now(), requestId: \"\" };\n    }\n  }\n}\n\n// Helper function to create a segment evaluator with default config\nexport function createSegmentEvaluator(\n  config: SegmentEvaluatorConfig\n): SegmentEvaluator {\n  return new 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