The Search Analytics API Route is a critical component of the Sophra system’s analytics infrastructure, specifically designed to handle the logging and retrieval of search-related events. This route, implemented as a Next.js API endpoint, serves as a bridge between the client-side search interactions and the backend analytics service. It plays a pivotal role in capturing valuable insights about user search behavior, which is essential for the system’s adaptive learning capabilities and continuous improvement of search relevance.

Architecturally, this component is positioned at the intersection of the API Gateway Layer and the Analytics Engine, as depicted in the system’s architecture diagram. It leverages the power of Next.js 14’s API routes, allowing for serverless deployment and seamless integration with the rest of the Sophra ecosystem. The route is designed to handle both POST requests for logging new search events and GET requests for retrieving historical search data, providing a comprehensive interface for search analytics operations.

One of the key architectural decisions reflected in this component is the use of a service manager pattern. This approach allows for dependency injection and better separation of concerns, making the code more modular and testable. The serviceManager.getServices() call retrieves the necessary service instances, including the analytics service, which is responsible for the actual data persistence and retrieval operations.

Performance-wise, the route is optimized for high-throughput scenarios. It uses asynchronous operations to handle requests efficiently, ensuring that the API can scale to accommodate a large number of concurrent search events. The use of JSON for data interchange and the inclusion of timing information (took field) in the response payload allows for performance monitoring and optimization at the API level.

A unique feature of this component is its robust error handling and logging mechanism. It captures detailed error information, including the raw request body and service availability status, which is crucial for debugging and maintaining system reliability. This level of detail in error reporting is essential for a complex, distributed system like Sophra, where pinpointing the source of issues quickly is paramount.

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Exported Components

export async function POST(req: NextRequest): Promise<NextResponse>

Both functions are asynchronous and handle HTTP requests, returning a NextResponse object. They interact with the analytics service to log or retrieve search events.

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Implementation Examples

const response = await fetch('/api/cortex/analytics/search', {
  method: 'POST',
  body: JSON.stringify({
    query: 'machine learning',
    searchType: 'semantic',
    totalHits: 150,
    took: 50,
    facets: ['category', 'author'],
    sessionId: 'user123-session456',
    resultIds: ['doc1', 'doc2', 'doc3'],
    filters: { category: 'technology' }
  })
});
const data = await response.json();
console.log(data.success ? 'Search event logged' : 'Logging failed');

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Sophra Integration Details

The Search Analytics API Route integrates closely with other Sophra components:

  • It uses the serviceManager from @/lib/cortex/utils/service-manager to access the analytics service.
  • Logging is handled through the shared logger from @/lib/shared/logger.
  • The analytics service is expected to provide createSearchEvent and getSearchEvents methods.

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Error Handling

The route implements comprehensive error handling:

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Performance Considerations

Optimization Strategies

  • Asynchronous request handling for improved concurrency
  • Efficient JSON parsing and stringification
  • Inclusion of timing information in responses for performance tracking
  • Limit of 100 events per GET request to prevent overload

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Security Implementation

The route relies on Next.js API route security features. Additional authentication and authorization checks should be implemented at the API Gateway level or within this route to ensure data privacy and access control.

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Configuration

The route uses the following environment-dependent configurations:

  • NEXT_PUBLIC_API_URL: Base URL for API requests (used in client-side examples)
  • Logging level configuration for the shared logger
  • Service manager configuration for accessing the analytics service
NEXT_PUBLIC_API_URL=http://localhost:3000/api
LOG_LEVEL=debug

By providing a robust and efficient interface for search analytics, this component plays a crucial role in Sophra’s data-driven approach to search optimization and user experience enhancement.