livedash-node/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Development Commands

Core Development:

• pnpm dev - Start development server (runs custom server.ts with schedulers)
• pnpm dev:next-only - Start Next.js only with Turbopack (no schedulers)
• pnpm build - Build production application
• pnpm start - Run production server

Code Quality:

• pnpm lint - Run ESLint
• pnpm lint:fix - Fix ESLint issues automatically
• pnpm format - Format code with Prettier
• pnpm format:check - Check formatting without fixing

Database:

• pnpm prisma:generate - Generate Prisma client
• pnpm prisma:migrate - Run database migrations
• pnpm prisma:push - Push schema changes to database
• pnpm prisma:push:force - Force reset database and push schema
• pnpm prisma:seed - Seed database with initial data
• pnpm prisma:studio - Open Prisma Studio database viewer

Testing:

• pnpm test - Run tests once
• pnpm test:watch - Run tests in watch mode
• pnpm test:coverage - Run tests with coverage report

Markdown:

• pnpm lint:md - Lint Markdown files
• pnpm lint:md:fix - Fix Markdown linting issues

Architecture Overview

LiveDash-Node is a real-time analytics dashboard for monitoring user sessions with AI-powered analysis and processing pipeline.

Tech Stack

• Frontend: Next.js 15 + React 19 + TailwindCSS 4
• Backend: Next.js API Routes + Custom Node.js server
• Database: PostgreSQL with Prisma ORM
• Authentication: NextAuth.js
• AI Processing: OpenAI API integration
• Visualization: D3.js, React Leaflet, Recharts
• Scheduling: Node-cron for background processing

Key Architecture Components

1. Multi-Stage Processing Pipeline The system processes user sessions through distinct stages tracked in SessionProcessingStatus:

• CSV_IMPORT - Import raw CSV data into SessionImport
• TRANSCRIPT_FETCH - Fetch transcript content from URLs
• SESSION_CREATION - Create normalized Session and Message records
• AI_ANALYSIS - AI processing for sentiment, categorization, summaries
• QUESTION_EXTRACTION - Extract questions from conversations

2. Database Architecture

• Multi-tenant design with Company as root entity
• Dual storage pattern: Raw CSV data in SessionImport, processed data in Session
• 1-to-1 relationship between SessionImport and Session via importId
• Message parsing into individual Message records with order tracking
• AI cost tracking via AIProcessingRequest with detailed token usage
• Flexible AI model management through AIModel, AIModelPricing, and CompanyAIModel

3. Custom Server Architecture

• server.ts - Custom Next.js server with configurable scheduler initialization
• Three main schedulers: CSV import, import processing, and session processing
• Environment-based configuration via lib/env.ts

4. Key Processing Libraries

• lib/scheduler.ts - CSV import scheduling
• lib/importProcessor.ts - Raw data to Session conversion
• lib/processingScheduler.ts - AI analysis pipeline
• lib/transcriptFetcher.ts - External transcript fetching
• lib/transcriptParser.ts - Message parsing from transcripts

Development Environment

Environment Configuration: Environment variables are managed through lib/env.ts with .env.local file support:

• Database: PostgreSQL via DATABASE_URL and DATABASE_URL_DIRECT
• Authentication: NEXTAUTH_SECRET, NEXTAUTH_URL
• AI Processing: OPENAI_API_KEY
• Schedulers: SCHEDULER_ENABLED, various interval configurations

Key Files to Understand:

• prisma/schema.prisma - Complete database schema with enums and relationships
• server.ts - Custom server entry point
• lib/env.ts - Environment variable management and validation
• app/ - Next.js App Router structure

Testing:

• Uses Vitest for unit testing
• Playwright for E2E testing
• Test files in tests/ directory

Important Notes

Scheduler System:

• Schedulers are optional and controlled by SCHEDULER_ENABLED environment variable
• Use pnpm dev:next-only to run without schedulers for pure frontend development
• Three separate schedulers handle different pipeline stages

Database Migrations:

• Always run pnpm prisma:generate after schema changes
• Use pnpm prisma:migrate for production-ready migrations
• Use pnpm prisma:push for development schema changes

AI Processing:

• All AI requests are tracked for cost analysis
• Support for multiple AI models per company
• Time-based pricing management for accurate cost calculation