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feat: Refactor data processing pipeline with AI cost tracking and enhanced session management
- Updated environment configuration to include Postgres database settings. - Enhanced import processing to minimize field copying and rely on AI for analysis. - Implemented detailed AI processing request tracking, including token usage and costs. - Added new models for Question and SessionQuestion to manage user inquiries separately. - Improved session processing scheduler with AI cost reporting functionality. - Created a test script to validate the refactored pipeline and display processing statistics. - Updated Prisma schema and migration files to reflect new database structure and relationships.
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@ -5,10 +5,8 @@ const nextConfig = {
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reactStrictMode: true,
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// Allow cross-origin requests from specific origins in development
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allowedDevOrigins: [
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"192.168.1.2",
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"localhost",
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"propc",
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"test123.kjanat.com",
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"127.0.0.1"
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],
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};
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