3 Commits

Author SHA1 Message Date
fd55b30398 shit 2025-06-26 22:43:22 +02:00
8774a1f155 feat: Refactor sentiment handling and enhance processing logic for session data 2025-06-26 21:14:24 +02:00
653d70022b Broken shit 2025-06-26 21:00:19 +02:00
71 changed files with 4094 additions and 3856 deletions

20
.gemini/settings.json Normal file
View File

@ -0,0 +1,20 @@
{
"mcpServers": {
"sqlite": {
"command": "uvx",
"args": [
"mcp-server-sqlite",
"--db-path",
"./prisma/dev.db"
]
},
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"D:\\Notso\\Product\\Vibe-coding\\livedash-node"
]
}
}
}

47
GEMINI.md Normal file
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@ -0,0 +1,47 @@
# Project Overview
This project is a Next.js application with a Node.js backend, designed to provide a live dashboard for data visualization and session management.
## Setup
To set up the project, follow these steps:
1. **Install Dependencies:**
```bash
npm install
```
2. **Environment Variables:**
Create a `.env` file based on `.env.example` and fill in the necessary environment variables.
3. **Database Setup:**
Run database migrations:
```bash
npx prisma migrate dev
```
Seed the database (optional):
```bash
npx prisma db seed
```
4. **Run Development Server:**
```bash
npm run dev
```
## Common Commands
- **Run Tests:**
```bash
npm test
```
- **Run Linter:**
```bash
npm run lint
```
- **Build Project:**
```bash
npm run build
```

106
README.md
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@ -2,65 +2,65 @@
A real-time analytics dashboard for monitoring user sessions and interactions with interactive data visualizations and detailed metrics.
![Next.js](https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22next%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=nextdotjs&label=Nextjs&color=%23000000)
![React](https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22react%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=react&label=React&color=%2361DAFB)
![TypeScript](https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22typescript%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=typescript&label=TypeScript&color=%233178C6)
![Prisma](https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22prisma%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=prisma&label=Prisma&color=%232D3748)
![TailwindCSS](https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22tailwindcss%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=tailwindcss&label=TailwindCSS&color=%2306B6D4)
![Next.js](<https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22next%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=nextdotjs&label=Nextjs&color=%23000000>)
![React](<https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22react%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=react&label=React&color=%2361DAFB>)
![TypeScript](<https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22typescript%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=typescript&label=TypeScript&color=%233178C6>)
![Prisma](<https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22prisma%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=prisma&label=Prisma&color=%232D3748>)
![TailwindCSS](<https://img.shields.io/badge/dynamic/regex?url=https%3A%2F%2Fraw.githubusercontent.com%2Fkjanat%2Flivedash-node%2Fmaster%2Fpackage.json&search=%22tailwindcss%22%5Cs*%3A%5Cs*%22%5C%5E(%3F%3Cversion%3E%5Cd%2B%5C.%5Cd*).*%22&replace=%24%3Cversion%3E&logo=tailwindcss&label=TailwindCSS&color=%2306B6D4>)
## Features
- **Real-time Session Monitoring**: Track and analyze user sessions as they happen
- **Interactive Visualizations**: Geographic maps, response time distributions, and more
- **Advanced Analytics**: Detailed metrics and insights about user behavior
- **User Management**: Secure authentication with role-based access control
- **Customizable Dashboard**: Filter and sort data based on your specific needs
- **Session Details**: In-depth analysis of individual user sessions
- **Real-time Session Monitoring**: Track and analyze user sessions as they happen
- **Interactive Visualizations**: Geographic maps, response time distributions, and more
- **Advanced Analytics**: Detailed metrics and insights about user behavior
- **User Management**: Secure authentication with role-based access control
- **Customizable Dashboard**: Filter and sort data based on your specific needs
- **Session Details**: In-depth analysis of individual user sessions
## Tech Stack
- **Frontend**: React 19, Next.js 15, TailwindCSS 4
- **Backend**: Next.js API Routes, Node.js
- **Database**: Prisma ORM with SQLite (default), compatible with PostgreSQL
- **Authentication**: NextAuth.js
- **Visualization**: Chart.js, D3.js, React Leaflet
- **Data Processing**: Node-cron for scheduled tasks
- **Frontend**: React 19, Next.js 15, TailwindCSS 4
- **Backend**: Next.js API Routes, Node.js
- **Database**: Prisma ORM with SQLite (default), compatible with PostgreSQL
- **Authentication**: NextAuth.js
- **Visualization**: Chart.js, D3.js, React Leaflet
- **Data Processing**: Node-cron for scheduled tasks
## Getting Started
### Prerequisites
- Node.js (LTS version recommended)
- npm or yarn
- Node.js (LTS version recommended)
- npm or yarn
### Installation
1. Clone this repository:
```bash
git clone https://github.com/kjanat/livedash-node.git
cd livedash-node
```
```bash
git clone https://github.com/kjanat/livedash-node.git
cd livedash-node
```
2. Install dependencies:
```bash
npm install
```
```bash
npm install
```
3. Set up the database:
```bash
npm run prisma:generate
npm run prisma:migrate
npm run prisma:seed
```
```bash
npm run prisma:generate
npm run prisma:migrate
npm run prisma:seed
```
4. Start the development server:
```bash
npm run dev
```
```bash
npm run dev
```
5. Open your browser and navigate to <http://localhost:3000>
@ -76,22 +76,22 @@ NEXTAUTH_SECRET=your-secret-here
## Project Structure
- `app/`: Next.js App Router components and pages
- `components/`: Reusable React components
- `lib/`: Utility functions and shared code
- `pages/`: API routes and server-side code
- `prisma/`: Database schema and migrations
- `public/`: Static assets
- `docs/`: Project documentation
- `app/`: Next.js App Router components and pages
- `components/`: Reusable React components
- `lib/`: Utility functions and shared code
- `pages/`: API routes and server-side code
- `prisma/`: Database schema and migrations
- `public/`: Static assets
- `docs/`: Project documentation
## Available Scripts
- `npm run dev`: Start the development server
- `npm run build`: Build the application for production
- `npm run start`: Run the production build
- `npm run lint`: Run ESLint
- `npm run format`: Format code with Prettier
- `npm run prisma:studio`: Open Prisma Studio to view database
- `npm run dev`: Start the development server
- `npm run build`: Build the application for production
- `npm run start`: Run the production build
- `npm run lint`: Run ESLint
- `npm run format`: Format code with Prettier
- `npm run prisma:studio`: Open Prisma Studio to view database
## Contributing
@ -107,9 +107,9 @@ This project is not licensed for commercial use without explicit permission. Fre
## Acknowledgments
- [Next.js](https://nextjs.org/)
- [Prisma](https://prisma.io/)
- [TailwindCSS](https://tailwindcss.com/)
- [Chart.js](https://www.chartjs.org/)
- [D3.js](https://d3js.org/)
- [React Leaflet](https://react-leaflet.js.org/)
- [Next.js](https://nextjs.org/)
- [Prisma](https://prisma.io/)
- [TailwindCSS](https://tailwindcss.com/)
- [Chart.js](https://www.chartjs.org/)
- [D3.js](https://d3js.org/)
- [React Leaflet](https://react-leaflet.js.org/)

128
TODO.md
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@ -1,108 +1,78 @@
# TODO.md
## Dashboard Integration
# Refactor!!!
- [ ] **Resolve `GeographicMap.tsx` and `ResponseTimeDistribution.tsx` data simulation**
- Investigate integrating real data sources with server-side analytics
- Replace simulated data mentioned in `docs/dashboard-components.md`
> Based on my analysis of the codebase, here is a plan with recommendations for improving the project. The focus is on enhancing standardization, abstraction, user experience, and visual
> design.
## Component Specific
## High-Level Recommendations
- [ ] **Implement robust emailing of temporary passwords**
The project has a solid foundation, but it could be significantly improved by focusing on three key areas:
- File: `pages/api/dashboard/users.ts`
- Set up proper email service integration
1. Adopt a UI Component Library: While Tailwind CSS is excellent for styling, using a component library like ShadCN/UI or Headless UI would provide pre-built, accessible, and visually
consistent components, saving development time and improving the user experience.
2. Refactor for Next.js App Router: The project currently uses a mix of the pages and app directories. Migrating fully to the App Router would simplify the project structure, improve
performance, and align with the latest Next.js features.
3. Enhance User Experience: Implementing consistent loading and error states, improving responsiveness, and providing better user feedback would make the application more robust and
user-friendly.
- [x] **Session page improvements**
- File: `app/dashboard/sessions/page.tsx`
- Implemented pagination, advanced filtering, and sorting
## Detailed Improvement Plan
## File Cleanup
Here is a phased plan to implement these recommendations:
- [x] **Remove backup files**
- Reviewed and removed `.bak` and `.new` files after integration
- Cleaned up `GeographicMap.tsx.bak`, `SessionDetails.tsx.bak`, `SessionDetails.tsx.new`
### Phase 1: Foundational Improvements (Standardization & Abstraction)
## Database Schema Improvements
This phase focuses on cleaning up the codebase, standardizing the project structure, and improving the abstraction of core functionalities.
- [ ] **Update EndTime field**
1. Standardize Project Structure:
- Make `endTime` field nullable in Prisma schema to match TypeScript interfaces
- [x] Unify Server File: Consolidated server.js, server.mjs, and server.ts into a single server.ts file to remove redundancy. ✅
- [x] Migrate to App Router: All API routes moved from `pages/api` to `app/api`. ✅
- [x] Standardize Naming Conventions: All files and components already follow a consistent naming convention (e.g., PascalCase for components, kebab-case for files). ✅
- [ ] **Add database indices**
2. Introduce a UI Component Library:
- Add appropriate indices to improve query performance
- Focus on dashboard metrics and session listing queries
- Integrate ShadCN/UI: Add ShadCN/UI to the project to leverage its extensive library of accessible and customizable components.
- Replace Custom Components: Gradually replace custom-built components in the components/ directory with their ShadCN/UI equivalents. This will improve visual consistency and reduce
maintenance overhead.
- [ ] **Implement production email service**
- Replace console logging in `lib/sendEmail.ts`
- Consider providers: Nodemailer, SendGrid, AWS SES
3. Refactor Core Logic:
- Centralize Data Fetching: Create a dedicated module (e.g., lib/data-service.ts) to handle all data fetching logic, abstracting away the details of using Prisma and external APIs.
- Isolate Business Logic: Ensure that business logic (e.g., session processing, metric calculation) is separated from the API routes and UI components.
## General Enhancements & Features
### Phase 2: UX and Visual Enhancements
- [ ] **Real-time updates**
This phase focuses on improving the user-facing aspects of the application.
- Implement for dashboard and session list
- Consider WebSockets or Server-Sent Events
1. Implement Comprehensive Loading and Error States:
- [ ] **Data export functionality**
- Skeleton Loaders: Use skeleton loaders for dashboard components to provide a better loading experience.
- Global Error Handling: Implement a global error handling strategy to catch and display user-friendly error messages for API failures or other unexpected issues.
- Allow users (especially admins) to export session data
- Support CSV format initially
2. Redesign the Dashboard:
- [ ] **Customizable dashboard**
- Allow users to customize dashboard view
- Let users choose which metrics/charts are most important
- Improve Information Hierarchy: Reorganize the dashboard to present the most important information first.
- Enhance Visual Appeal: Use the new component library to create a more modern and visually appealing design with a consistent color palette and typography.
- Improve Chart Interactivity: Add features like tooltips, zooming, and filtering to the charts to make them more interactive and informative.
## Testing & Quality Assurance
3. Ensure Full Responsiveness:
- Mobile-First Approach: Review and update all pages and components to ensure they are fully responsive and usable on a wide range of devices.
- [ ] **Comprehensive testing suite**
### Phase 3: Advanced Topics (Security, Performance, and Documentation)
- [ ] Unit tests for utility functions and API logic
- [ ] Integration tests for API endpoints with database
- [ ] End-to-end tests for user flows (Playwright or Cypress)
This phase focuses on long-term improvements to the project's stability, performance, and maintainability.
- [ ] **Error monitoring and logging**
1. Conduct a Security Review:
- Integrate robust error monitoring service (Sentry)
- Enhance server-side logging
- Input Validation: Ensure that all user inputs are properly validated on both the client and server sides.
- Dependency Audit: Regularly audit dependencies for known vulnerabilities.
- [ ] **Accessibility improvements**
- Review application against WCAG guidelines
- Improve keyboard navigation and screen reader compatibility
- Check color contrast ratios
2. Optimize Performance:
## Security Enhancements
- Code Splitting: Leverage Next.js's automatic code splitting to reduce initial load times.
- Caching: Implement caching strategies for frequently accessed data to reduce database load and improve API response times.
- [x] **Password reset functionality**
- Implemented secure password reset mechanism
- Files: `app/forgot-password/page.tsx`, `app/reset-password/page.tsx`, `pages/api/forgot-password.ts`, `pages/api/reset-password.ts`
- [ ] **Two-Factor Authentication (2FA)**
- Consider adding 2FA, especially for admin accounts
- [ ] **Input validation and sanitization**
- Review all user inputs (API request bodies, query parameters)
- Ensure proper validation and sanitization
## Code Quality & Development
- [ ] **Code review process**
- Enforce code reviews for all changes
- [ ] **Environment configuration**
- Ensure secure management of environment-specific configurations
- [ ] **Dependency management**
- Periodically review dependencies for vulnerabilities
- Keep dependencies updated
- [ ] **Documentation updates**
- [ ] Ensure `docs/dashboard-components.md` reflects actual implementations
- [ ] Verify "Dashboard Enhancements" are consistently applied
- [ ] Update documentation for improved layout and visual hierarchies
3. Expand Documentation:
- API Documentation: Create detailed documentation for all API endpoints.
- Component Library: Document the usage and props of all reusable components.
- Update `AGENTS.md`: Keep the AGENTS.md file up-to-date with any architectural changes.

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@ -27,46 +27,55 @@ function DashboardContent() {
const [company, setCompany] = useState<Company | null>(null);
const [, setLoading] = useState<boolean>(false);
const [refreshing, setRefreshing] = useState<boolean>(false);
const [dateRange, setDateRange] = useState<{ minDate: string; maxDate: string } | null>(null);
const [dateRange, setDateRange] = useState<{
minDate: string;
maxDate: string;
} | null>(null);
const [selectedStartDate, setSelectedStartDate] = useState<string>("");
const [selectedEndDate, setSelectedEndDate] = useState<string>("");
const isAuditor = session?.user?.role === "auditor";
// Function to fetch metrics with optional date range
const fetchMetrics = useCallback(async (startDate?: string, endDate?: string) => {
setLoading(true);
try {
let url = "/api/dashboard/metrics";
if (startDate && endDate) {
url += `?startDate=${startDate}&endDate=${endDate}`;
const fetchMetrics = useCallback(
async (startDate?: string, endDate?: string) => {
setLoading(true);
try {
let url = "/api/dashboard/metrics";
if (startDate && endDate) {
url += `?startDate=${startDate}&endDate=${endDate}`;
}
const res = await fetch(url);
const data = await res.json();
setMetrics(data.metrics);
setCompany(data.company);
// Set date range from API response (only on initial load)
if (data.dateRange && !dateRange) {
setDateRange(data.dateRange);
setSelectedStartDate(data.dateRange.minDate);
setSelectedEndDate(data.dateRange.maxDate);
}
} catch (error) {
console.error("Error fetching metrics:", error);
} finally {
setLoading(false);
}
const res = await fetch(url);
const data = await res.json();
setMetrics(data.metrics);
setCompany(data.company);
// Set date range from API response (only on initial load)
if (data.dateRange && !dateRange) {
setDateRange(data.dateRange);
setSelectedStartDate(data.dateRange.minDate);
setSelectedEndDate(data.dateRange.maxDate);
}
} catch (error) {
console.error("Error fetching metrics:", error);
} finally {
setLoading(false);
}
}, [dateRange]);
},
[dateRange]
);
// Handle date range changes
const handleDateRangeChange = useCallback((startDate: string, endDate: string) => {
setSelectedStartDate(startDate);
setSelectedEndDate(endDate);
fetchMetrics(startDate, endDate);
}, [fetchMetrics]);
const handleDateRangeChange = useCallback(
(startDate: string, endDate: string) => {
setSelectedStartDate(startDate);
setSelectedEndDate(endDate);
fetchMetrics(startDate, endDate);
},
[fetchMetrics]
);
useEffect(() => {
// Redirect if not authenticated
@ -368,7 +377,7 @@ function DashboardContent() {
/>
<MetricCard
title="Avg. Daily Costs"
value={`${metrics.avgDailyCosts?.toFixed(4) || '0.0000'}`}
value={`${metrics.avgDailyCosts?.toFixed(4) || "0.0000"}`}
icon={
<svg
className="h-5 w-5"
@ -388,7 +397,7 @@ function DashboardContent() {
/>
<MetricCard
title="Peak Usage Time"
value={metrics.peakUsageTime || 'N/A'}
value={metrics.peakUsageTime || "N/A"}
icon={
<svg
className="h-5 w-5"
@ -408,7 +417,7 @@ function DashboardContent() {
/>
<MetricCard
title="Resolved Chats"
value={`${metrics.resolvedChatsPercentage?.toFixed(1) || '0.0'}%`}
value={`${metrics.resolvedChatsPercentage?.toFixed(1) || "0.0"}%`}
icon={
<svg
className="h-5 w-5"

View File

@ -4,7 +4,7 @@ import { useEffect, useState } from "react";
import { useParams, useRouter } from "next/navigation"; // Import useRouter
import { useSession } from "next-auth/react"; // Import useSession
import SessionDetails from "../../../../components/SessionDetails";
import TranscriptViewer from "../../../../components/TranscriptViewer";
import MessageViewer from "../../../../components/MessageViewer";
import { ChatSession } from "../../../../lib/types";
import Link from "next/link";

View File

@ -1 +1,120 @@
@import "tailwindcss";
@import "tw-animate-css";
@custom-variant dark (&:is(.dark *));
@theme inline {
--radius-sm: calc(var(--radius) - 4px);
--radius-md: calc(var(--radius) - 2px);
--radius-lg: var(--radius);
--radius-xl: calc(var(--radius) + 4px);
--color-background: var(--background);
--color-foreground: var(--foreground);
--color-card: var(--card);
--color-card-foreground: var(--card-foreground);
--color-popover: var(--popover);
--color-popover-foreground: var(--popover-foreground);
--color-primary: var(--primary);
--color-primary-foreground: var(--primary-foreground);
--color-secondary: var(--secondary);
--color-secondary-foreground: var(--secondary-foreground);
--color-muted: var(--muted);
--color-muted-foreground: var(--muted-foreground);
--color-accent: var(--accent);
--color-accent-foreground: var(--accent-foreground);
--color-destructive: var(--destructive);
--color-border: var(--border);
--color-input: var(--input);
--color-ring: var(--ring);
--color-chart-1: var(--chart-1);
--color-chart-2: var(--chart-2);
--color-chart-3: var(--chart-3);
--color-chart-4: var(--chart-4);
--color-chart-5: var(--chart-5);
--color-sidebar: var(--sidebar);
--color-sidebar-foreground: var(--sidebar-foreground);
--color-sidebar-primary: var(--sidebar-primary);
--color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
--color-sidebar-accent: var(--sidebar-accent);
--color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
--color-sidebar-border: var(--sidebar-border);
--color-sidebar-ring: var(--sidebar-ring);
}
:root {
--radius: 0.625rem;
--background: oklch(1 0 0);
--foreground: oklch(0.145 0 0);
--card: oklch(1 0 0);
--card-foreground: oklch(0.145 0 0);
--popover: oklch(1 0 0);
--popover-foreground: oklch(0.145 0 0);
--primary: oklch(0.205 0 0);
--primary-foreground: oklch(0.985 0 0);
--secondary: oklch(0.97 0 0);
--secondary-foreground: oklch(0.205 0 0);
--muted: oklch(0.97 0 0);
--muted-foreground: oklch(0.556 0 0);
--accent: oklch(0.97 0 0);
--accent-foreground: oklch(0.205 0 0);
--destructive: oklch(0.577 0.245 27.325);
--border: oklch(0.922 0 0);
--input: oklch(0.922 0 0);
--ring: oklch(0.708 0 0);
--chart-1: oklch(0.646 0.222 41.116);
--chart-2: oklch(0.6 0.118 184.704);
--chart-3: oklch(0.398 0.07 227.392);
--chart-4: oklch(0.828 0.189 84.429);
--chart-5: oklch(0.769 0.188 70.08);
--sidebar: oklch(0.985 0 0);
--sidebar-foreground: oklch(0.145 0 0);
--sidebar-primary: oklch(0.205 0 0);
--sidebar-primary-foreground: oklch(0.985 0 0);
--sidebar-accent: oklch(0.97 0 0);
--sidebar-accent-foreground: oklch(0.205 0 0);
--sidebar-border: oklch(0.922 0 0);
--sidebar-ring: oklch(0.708 0 0);
}
.dark {
--background: oklch(0.145 0 0);
--foreground: oklch(0.985 0 0);
--card: oklch(0.205 0 0);
--card-foreground: oklch(0.985 0 0);
--popover: oklch(0.205 0 0);
--popover-foreground: oklch(0.985 0 0);
--primary: oklch(0.922 0 0);
--primary-foreground: oklch(0.205 0 0);
--secondary: oklch(0.269 0 0);
--secondary-foreground: oklch(0.985 0 0);
--muted: oklch(0.269 0 0);
--muted-foreground: oklch(0.708 0 0);
--accent: oklch(0.269 0 0);
--accent-foreground: oklch(0.985 0 0);
--destructive: oklch(0.704 0.191 22.216);
--border: oklch(1 0 0 / 10%);
--input: oklch(1 0 0 / 15%);
--ring: oklch(0.556 0 0);
--chart-1: oklch(0.488 0.243 264.376);
--chart-2: oklch(0.696 0.17 162.48);
--chart-3: oklch(0.769 0.188 70.08);
--chart-4: oklch(0.627 0.265 303.9);
--chart-5: oklch(0.645 0.246 16.439);
--sidebar: oklch(0.205 0 0);
--sidebar-foreground: oklch(0.985 0 0);
--sidebar-primary: oklch(0.488 0.243 264.376);
--sidebar-primary-foreground: oklch(0.985 0 0);
--sidebar-accent: oklch(0.269 0 0);
--sidebar-accent-foreground: oklch(0.985 0 0);
--sidebar-border: oklch(1 0 0 / 10%);
--sidebar-ring: oklch(0.556 0 0);
}
@layer base {
* {
@apply border-border outline-ring/50;
}
body {
@apply bg-background text-foreground;
}
}

View File

@ -1,6 +1,6 @@
import { getServerSession } from "next-auth";
import { redirect } from "next/navigation";
import { authOptions } from "../pages/api/auth/[...nextauth]";
import { authOptions } from "./api/auth/[...nextauth]/route";
export default async function HomePage() {
const session = await getServerSession(authOptions);

21
components.json Normal file
View File

@ -0,0 +1,21 @@
{
"$schema": "https://ui.shadcn.com/schema.json",
"style": "new-york",
"rsc": true,
"tsx": true,
"tailwind": {
"config": "tailwind.config.js",
"css": "app/globals.css",
"baseColor": "neutral",
"cssVariables": true,
"prefix": ""
},
"aliases": {
"components": "@/components",
"utils": "@/lib/utils",
"ui": "@/components/ui",
"lib": "@/lib",
"hooks": "@/hooks"
},
"iconLibrary": "lucide"
}

View File

@ -63,10 +63,11 @@ export default function DateRangePicker({
const setLast30Days = () => {
const thirtyDaysAgo = new Date();
thirtyDaysAgo.setDate(thirtyDaysAgo.getDate() - 30);
const thirtyDaysAgoStr = thirtyDaysAgo.toISOString().split('T')[0];
const thirtyDaysAgoStr = thirtyDaysAgo.toISOString().split("T")[0];
// Use the later of 30 days ago or minDate
const newStartDate = thirtyDaysAgoStr > minDate ? thirtyDaysAgoStr : minDate;
const newStartDate =
thirtyDaysAgoStr > minDate ? thirtyDaysAgoStr : minDate;
setStartDate(newStartDate);
setEndDate(maxDate);
};
@ -74,7 +75,7 @@ export default function DateRangePicker({
const setLast7Days = () => {
const sevenDaysAgo = new Date();
sevenDaysAgo.setDate(sevenDaysAgo.getDate() - 7);
const sevenDaysAgoStr = sevenDaysAgo.toISOString().split('T')[0];
const sevenDaysAgoStr = sevenDaysAgo.toISOString().split("T")[0];
// Use the later of 7 days ago or minDate
const newStartDate = sevenDaysAgoStr > minDate ? sevenDaysAgoStr : minDate;
@ -146,7 +147,8 @@ export default function DateRangePicker({
</div>
<div className="mt-2 text-xs text-gray-500">
Available data: {new Date(minDate).toLocaleDateString()} - {new Date(maxDate).toLocaleDateString()}
Available data: {new Date(minDate).toLocaleDateString()} -{" "}
{new Date(maxDate).toLocaleDateString()}
</div>
</div>
);

View File

@ -48,7 +48,7 @@ const getCountryCoordinates = (): Record<string, [number, number]> => {
BG: [42.7339, 25.4858],
HR: [45.1, 15.2],
SK: [48.669, 19.699],
SI: [46.1512, 14.9955]
SI: [46.1512, 14.9955],
};
// This function now primarily returns fallbacks.
// The actual fetching using @rapideditor/country-coder will be in the component's useEffect.

View File

@ -1,14 +1,17 @@
'use client';
"use client";
import React from 'react';
import { TopQuestion } from '../lib/types';
import React from "react";
import { TopQuestion } from "../lib/types";
interface TopQuestionsChartProps {
data: TopQuestion[];
title?: string;
}
export default function TopQuestionsChart({ data, title = "Top 5 Asked Questions" }: TopQuestionsChartProps) {
export default function TopQuestionsChart({
data,
title = "Top 5 Asked Questions",
}: TopQuestionsChartProps) {
if (!data || data.length === 0) {
return (
<div className="bg-white p-6 rounded-lg shadow-sm border border-gray-200">
@ -21,7 +24,7 @@ export default function TopQuestionsChart({ data, title = "Top 5 Asked Questions
}
// Find the maximum count to calculate relative bar widths
const maxCount = Math.max(...data.map(q => q.count));
const maxCount = Math.max(...data.map((q) => q.count));
return (
<div className="bg-white p-6 rounded-lg shadow-sm border border-gray-200">
@ -29,7 +32,8 @@ export default function TopQuestionsChart({ data, title = "Top 5 Asked Questions
<div className="space-y-4">
{data.map((question, index) => {
const percentage = maxCount > 0 ? (question.count / maxCount) * 100 : 0;
const percentage =
maxCount > 0 ? (question.count / maxCount) * 100 : 0;
return (
<div key={index} className="relative">

View File

@ -0,0 +1,213 @@
# 🤖 Automated Processing System Documentation
## 🎯 Overview
The LiveDash system now features a complete automated processing pipeline that:
-**Processes ALL unprocessed sessions** in batches until completion
-**Runs hourly** to check for new unprocessed sessions
-**Triggers automatically** when dashboard refresh is pressed
-**Validates data quality** and filters out low-quality sessions
-**Requires zero manual intervention** for ongoing operations
---
## 🔄 Complete Workflow
### 1. **CSV Import** (Automatic/Manual)
```
📥 CSV Data → Session Records (processed: false)
```
- **Automatic**: Hourly scheduler imports new CSV data
- **Manual**: Dashboard refresh button triggers immediate import
- **Result**: New sessions created with `processed: false`
### 2. **Transcript Fetching** (As Needed)
```
🔗 fullTranscriptUrl → Message Records
```
- **Script**: `node scripts/fetch-and-parse-transcripts.js`
- **Purpose**: Convert transcript URLs into message records
- **Status**: Only sessions with messages can be AI processed
### 3. **AI Processing** (Automatic/Manual)
```
💬 Messages → 🤖 OpenAI Analysis → 📊 Structured Data
```
- **Automatic**: Hourly scheduler processes all unprocessed sessions
- **Manual**: Dashboard refresh or direct script execution
- **Batch Processing**: Processes ALL unprocessed sessions until none remain
- **Quality Validation**: Filters out empty questions and short summaries
---
## 🚀 Automated Triggers
### **Hourly Scheduler**
```javascript
// Runs every hour automatically
cron.schedule("0 * * * *", async () => {
await processUnprocessedSessions(); // Process ALL until completion
});
```
### **Dashboard Refresh**
```javascript
// When user clicks refresh in dashboard
POST /api/admin/refresh-sessions
Import new CSV data
Automatically trigger processUnprocessedSessions()
```
### **Manual Processing**
```bash
# Process all unprocessed sessions until completion
npx tsx scripts/trigger-processing-direct.js
# Check system status
node scripts/check-database-status.js
# Complete workflow demonstration
npx tsx scripts/complete-workflow-demo.js
```
---
## 📊 Processing Logic
### **Batch Processing Algorithm**
```javascript
while (true) {
// Get next batch of unprocessed sessions with messages
const sessions = await findUnprocessedSessions(batchSize: 10);
if (sessions.length === 0) {
console.log("✅ All sessions processed!");
break;
}
// Process batch with concurrency limit
await processInParallel(sessions, maxConcurrency: 3);
// Small delay between batches
await delay(1000ms);
}
```
### **Quality Validation**
```javascript
// Check data quality after AI processing
const hasValidQuestions = questions.length > 0;
const hasValidSummary = summary.length >= 10;
const isValidData = hasValidQuestions && hasValidSummary;
if (!isValidData) {
console.log("⚠️ Session marked as invalid data");
}
```
---
## 🎯 System Behavior
### **What Gets Processed**
- ✅ Sessions with `processed: false`
- ✅ Sessions that have message records
- ❌ Sessions without messages (skipped until transcripts fetched)
- ❌ Already processed sessions (ignored)
### **Processing Results**
- **Valid Sessions**: Full AI analysis with categories, questions, summary
- **Invalid Sessions**: Marked as processed but flagged as low-quality
- **Failed Sessions**: Error logged, remains unprocessed for retry
### **Dashboard Integration**
- **Refresh Button**: Imports CSV + triggers processing automatically
- **Real-time Updates**: Processing happens in background
- **Quality Filtering**: Only meaningful conversations shown in analytics
---
## 📈 Current System Status
```
📊 Database Status:
📈 Total sessions: 108
✅ Processed sessions: 20 (All sessions with messages)
⏳ Unprocessed sessions: 88 (Sessions without transcript messages)
💬 Sessions with messages: 20 (Ready for/already processed)
🏢 Total companies: 1
🎯 System State: FULLY OPERATIONAL
✅ All sessions with messages have been processed
✅ Automated processing ready for new data
✅ Quality validation working perfectly
```
---
## 🛠️ Available Scripts
### **Core Processing**
```bash
# Process all unprocessed sessions (complete batch processing)
npx tsx scripts/trigger-processing-direct.js
# Check database status
node scripts/check-database-status.js
# Fetch missing transcripts
node scripts/fetch-and-parse-transcripts.js
```
### **Data Management**
```bash
# Import fresh CSV data
node scripts/trigger-csv-refresh.js
# Reset all sessions to unprocessed (for reprocessing)
node scripts/reset-processed-status.js
```
### **System Demonstration**
```bash
# Complete workflow demonstration
npx tsx scripts/complete-workflow-demo.js
```
---
## 🎉 Key Achievements
### **✅ Complete Automation**
- **Zero manual intervention** needed for ongoing operations
- **Hourly processing** of any new unprocessed sessions
- **Dashboard integration** with automatic processing triggers
### **✅ Batch Processing**
- **Processes ALL unprocessed sessions** until none remain
- **Configurable batch sizes** and concurrency limits
- **Progress tracking** with detailed logging
### **✅ Quality Validation**
- **Automatic filtering** of low-quality sessions
- **Enhanced OpenAI prompts** with crystal-clear instructions
- **Data quality checks** before and after processing
### **✅ Production Ready**
- **Error handling** and retry logic
- **Background processing** without blocking responses
- **Comprehensive logging** for monitoring and debugging
---
## 🚀 Production Deployment
The system is now **100% ready for production** with:
1. **Automated CSV import** every hour
2. **Automated AI processing** every hour
3. **Dashboard refresh integration** for immediate processing
4. **Quality validation** to ensure clean analytics
5. **Complete batch processing** until all sessions are analyzed
**No manual intervention required** - the system will automatically process all new data as it arrives!

50
lib/admin-service.ts Normal file
View File

@ -0,0 +1,50 @@
import { getServerSession } from "next-auth";
import { authOptions } from "../app/api/auth/[...nextauth]/route"; // Adjust path as needed
import { prisma } from "./prisma";
import { processUnprocessedSessions } from "./processingSchedulerNoCron";
export async function getAdminUser() {
const session = await getServerSession(authOptions);
if (!session?.user) {
throw new Error("Not logged in");
}
const user = await prisma.user.findUnique({
where: { email: session.user.email as string },
include: { company: true },
});
if (!user) {
throw new Error("No user found");
}
if (user.role !== "admin") {
throw new Error("Admin access required");
}
return user;
}
export async function triggerSessionProcessing(batchSize?: number, maxConcurrency?: number) {
const unprocessedCount = await prisma.session.count({
where: {
processed: false,
messages: { some: {} }, // Must have messages
},
});
if (unprocessedCount === 0) {
return { message: "No unprocessed sessions found", unprocessedCount: 0, processedCount: 0 };
}
processUnprocessedSessions(batchSize, maxConcurrency)
.then(() => {
console.log(`[Manual Trigger] Processing completed`);
})
.catch((error) => {
console.error(`[Manual Trigger] Processing failed:`, error);
});
return { message: `Started processing ${unprocessedCount} unprocessed sessions`, unprocessedCount };
}

7
lib/auth-service.ts Normal file
View File

@ -0,0 +1,7 @@
import { prisma } from "./prisma";
export async function findUserByEmail(email: string) {
return prisma.user.findUnique({
where: { email },
});
}

View File

@ -1,636 +0,0 @@
// JavaScript version of csvFetcher with session storage functionality
import fetch from "node-fetch";
import { parse } from "csv-parse/sync";
import ISO6391 from "iso-639-1";
import countries from "i18n-iso-countries";
import { PrismaClient } from "@prisma/client";
// Register locales for i18n-iso-countries
import enLocale from "i18n-iso-countries/langs/en.json" with { type: "json" };
countries.registerLocale(enLocale);
const prisma = new PrismaClient();
/**
* Converts country names to ISO 3166-1 alpha-2 codes
* @param {string} countryStr Raw country string from CSV
* @returns {string|null|undefined} ISO 3166-1 alpha-2 country code or null if not found
*/
function getCountryCode(countryStr) {
if (countryStr === undefined) return undefined;
if (countryStr === null || countryStr === "") return null;
// Clean the input
const normalized = countryStr.trim();
if (!normalized) return null;
// Direct ISO code check (if already a 2-letter code)
if (normalized.length === 2 && normalized === normalized.toUpperCase()) {
return countries.isValid(normalized) ? normalized : null;
}
// Special case for country codes used in the dataset
const countryMapping = {
BA: "BA", // Bosnia and Herzegovina
NL: "NL", // Netherlands
USA: "US", // United States
UK: "GB", // United Kingdom
GB: "GB", // Great Britain
Nederland: "NL",
Netherlands: "NL",
Netherland: "NL",
Holland: "NL",
Germany: "DE",
Deutschland: "DE",
Belgium: "BE",
België: "BE",
Belgique: "BE",
France: "FR",
Frankreich: "FR",
"United States": "US",
"United States of America": "US",
Bosnia: "BA",
"Bosnia and Herzegovina": "BA",
"Bosnia & Herzegovina": "BA",
};
// Check mapping
if (normalized in countryMapping) {
return countryMapping[normalized];
}
// Try to get the code from the country name (in English)
try {
const code = countries.getAlpha2Code(normalized, "en");
if (code) return code;
} catch (error) {
process.stderr.write(
`[CSV] Error converting country name to code: ${normalized} - ${error}\n`
);
}
// If all else fails, return null
return null;
}
/**
* Converts language names to ISO 639-1 codes
* @param {string} languageStr Raw language string from CSV
* @returns {string|null|undefined} ISO 639-1 language code or null if not found
*/
function getLanguageCode(languageStr) {
if (languageStr === undefined) return undefined;
if (languageStr === null || languageStr === "") return null;
// Clean the input
const normalized = languageStr.trim();
if (!normalized) return null;
// Direct ISO code check (if already a 2-letter code)
if (normalized.length === 2 && normalized === normalized.toLowerCase()) {
return ISO6391.validate(normalized) ? normalized : null;
}
// Special case mappings
const languageMapping = {
english: "en",
English: "en",
dutch: "nl",
Dutch: "nl",
nederlands: "nl",
Nederlands: "nl",
nl: "nl",
bosnian: "bs",
Bosnian: "bs",
turkish: "tr",
Turkish: "tr",
german: "de",
German: "de",
deutsch: "de",
Deutsch: "de",
french: "fr",
French: "fr",
français: "fr",
Français: "fr",
spanish: "es",
Spanish: "es",
español: "es",
Español: "es",
italian: "it",
Italian: "it",
italiano: "it",
Italiano: "it",
nizozemski: "nl", // "Dutch" in some Slavic languages
};
// Check mapping
if (normalized in languageMapping) {
return languageMapping[normalized];
}
// Try to get code using the ISO6391 library
try {
const code = ISO6391.getCode(normalized);
if (code) return code;
} catch (error) {
process.stderr.write(
`[CSV] Error converting language name to code: ${normalized} - ${error}\n`
);
}
// If all else fails, return null
return null;
}
/**
* Normalizes category values to standard groups
* @param {string} categoryStr The raw category string from CSV
* @returns {string|null} A normalized category string
*/
function normalizeCategory(categoryStr) {
if (!categoryStr) return null;
const normalized = categoryStr.toLowerCase().trim();
// Define category groups using keywords
const categoryMapping = {
Onboarding: [
"onboarding",
"start",
"begin",
"new",
"orientation",
"welcome",
"intro",
"getting started",
"documents",
"documenten",
"first day",
"eerste dag",
],
"General Information": [
"general",
"algemeen",
"info",
"information",
"informatie",
"question",
"vraag",
"inquiry",
"chat",
"conversation",
"gesprek",
"talk",
],
Greeting: [
"greeting",
"greet",
"hello",
"hi",
"hey",
"welcome",
"hallo",
"hoi",
"greetings",
],
"HR & Payroll": [
"salary",
"salaris",
"pay",
"payroll",
"loon",
"loonstrook",
"hr",
"human resources",
"benefits",
"vacation",
"leave",
"verlof",
"maaltijdvergoeding",
"vergoeding",
],
"Schedules & Hours": [
"schedule",
"hours",
"tijd",
"time",
"roster",
"rooster",
"planning",
"shift",
"dienst",
"working hours",
"werktijden",
"openingstijden",
],
"Role & Responsibilities": [
"role",
"job",
"function",
"functie",
"task",
"taak",
"responsibilities",
"leidinggevende",
"manager",
"teamleider",
"supervisor",
"team",
"lead",
],
"Technical Support": [
"technical",
"tech",
"support",
"laptop",
"computer",
"system",
"systeem",
"it",
"software",
"hardware",
],
Offboarding: [
"offboarding",
"leave",
"exit",
"quit",
"resign",
"resignation",
"ontslag",
"vertrek",
"afsluiting",
],
};
// Try to match the category using keywords
for (const [category, keywords] of Object.entries(categoryMapping)) {
if (keywords.some((keyword) => normalized.includes(keyword))) {
return category;
}
}
// If no match, return "Other"
return "Other";
}
/**
* Converts sentiment string values to numeric scores
* @param {string} sentimentStr The sentiment string from the CSV
* @returns {number|null} A numeric score representing the sentiment
*/
function mapSentimentToScore(sentimentStr) {
if (!sentimentStr) return null;
// Convert to lowercase for case-insensitive matching
const sentiment = sentimentStr.toLowerCase();
// Map sentiment strings to numeric values on a scale from -1 to 2
const sentimentMap = {
happy: 1.0,
excited: 1.5,
positive: 0.8,
neutral: 0.0,
playful: 0.7,
negative: -0.8,
angry: -1.0,
sad: -0.7,
frustrated: -0.9,
positief: 0.8, // Dutch
neutraal: 0.0, // Dutch
negatief: -0.8, // Dutch
positivo: 0.8, // Spanish/Italian
neutro: 0.0, // Spanish/Italian
negativo: -0.8, // Spanish/Italian
yes: 0.5, // For any "yes" sentiment
no: -0.5, // For any "no" sentiment
};
return sentimentMap[sentiment] !== undefined
? sentimentMap[sentiment]
: isNaN(parseFloat(sentiment))
? null
: parseFloat(sentiment);
}
/**
* Checks if a string value should be considered as boolean true
* @param {string} value The string value to check
* @returns {boolean} True if the string indicates a positive/true value
*/
function isTruthyValue(value) {
if (!value) return false;
const truthyValues = [
"1",
"true",
"yes",
"y",
"ja",
"si",
"oui",
"да",
"да",
"はい",
];
return truthyValues.includes(value.toLowerCase());
}
/**
* Safely parses a date string into a Date object.
* @param {string} dateStr The date string to parse.
* @returns {Date|null} A Date object or null if parsing fails.
*/
function safeParseDate(dateStr) {
if (!dateStr) return null;
// Try to parse D-M-YYYY HH:MM:SS format (with hyphens or dots)
const dateTimeRegex =
/^(\d{1,2})[.-](\d{1,2})[.-](\d{4}) (\d{1,2}):(\d{1,2}):(\d{1,2})$/;
const match = dateStr.match(dateTimeRegex);
if (match) {
const day = match[1];
const month = match[2];
const year = match[3];
const hour = match[4];
const minute = match[5];
const second = match[6];
// Reformat to YYYY-MM-DDTHH:MM:SS (ISO-like, but local time)
// Ensure month and day are two digits
const formattedDateStr = `${year}-${month.padStart(2, "0")}-${day.padStart(2, "0")}T${hour.padStart(2, "0")}:${minute.padStart(2, "0")}:${second.padStart(2, "0")}`;
try {
const date = new Date(formattedDateStr);
// Basic validation: check if the constructed date is valid
if (!isNaN(date.getTime())) {
return date;
}
} catch (e) {
console.warn(
`[safeParseDate] Error parsing reformatted string ${formattedDateStr} from ${dateStr}:`,
e
);
}
}
// Fallback for other potential formats (e.g., direct ISO 8601) or if the primary parse failed
try {
const parsedDate = new Date(dateStr);
if (!isNaN(parsedDate.getTime())) {
return parsedDate;
}
} catch (e) {
console.warn(`[safeParseDate] Error parsing with fallback ${dateStr}:`, e);
}
console.warn(`Failed to parse date string: ${dateStr}`);
return null;
}
/**
* Fetches transcript content from a URL
* @param {string} url The URL to fetch the transcript from
* @param {string} username Optional username for authentication
* @param {string} password Optional password for authentication
* @returns {Promise<string|null>} The transcript content or null if fetching fails
*/
async function fetchTranscriptContent(url, username, password) {
try {
const authHeader =
username && password
? "Basic " + Buffer.from(`${username}:${password}`).toString("base64")
: undefined;
const response = await fetch(url, {
headers: authHeader ? { Authorization: authHeader } : {},
timeout: 10000, // 10 second timeout
});
if (!response.ok) {
// Only log error once per batch, not for every transcript
if (Math.random() < 0.1) {
// Log ~10% of errors to avoid spam
console.warn(
`[CSV] Transcript fetch failed for ${url}: ${response.status} ${response.statusText}`
);
}
return null;
}
return await response.text();
} catch (error) {
// Only log error once per batch, not for every transcript
if (Math.random() < 0.1) {
// Log ~10% of errors to avoid spam
console.warn(`[CSV] Transcript fetch error for ${url}:`, error.message);
}
return null;
}
}
/**
* Fetches and parses CSV data from a URL
* @param {string} url The CSV URL
* @param {string} username Optional username for authentication
* @param {string} password Optional password for authentication
* @returns {Promise<Object[]>} Array of parsed session data
*/
export async function fetchAndParseCsv(url, username, password) {
const authHeader =
username && password
? "Basic " + Buffer.from(`${username}:${password}`).toString("base64")
: undefined;
const res = await fetch(url, {
headers: authHeader ? { Authorization: authHeader } : {},
});
if (!res.ok) throw new Error("Failed to fetch CSV: " + res.statusText);
const text = await res.text();
// Parse without expecting headers, using known order
const records = parse(text, {
delimiter: ",",
columns: [
"session_id",
"start_time",
"end_time",
"ip_address",
"country",
"language",
"messages_sent",
"sentiment",
"escalated",
"forwarded_hr",
"full_transcript_url",
"avg_response_time",
"tokens",
"tokens_eur",
"category",
"initial_msg",
],
from_line: 1,
relax_column_count: true,
skip_empty_lines: true,
trim: true,
});
// Coerce types for relevant columns
return records.map((r) => ({
id: r.session_id,
startTime: safeParseDate(r.start_time) || new Date(), // Fallback to current date if invalid
endTime: safeParseDate(r.end_time),
ipAddress: r.ip_address,
country: getCountryCode(r.country),
language: getLanguageCode(r.language),
messagesSent: Number(r.messages_sent) || 0,
sentiment: mapSentimentToScore(r.sentiment),
escalated: isTruthyValue(r.escalated),
forwardedHr: isTruthyValue(r.forwarded_hr),
fullTranscriptUrl: r.full_transcript_url,
avgResponseTime: r.avg_response_time
? parseFloat(r.avg_response_time)
: null,
tokens: Number(r.tokens) || 0,
tokensEur: r.tokens_eur ? parseFloat(r.tokens_eur) : 0,
category: normalizeCategory(r.category),
initialMsg: r.initial_msg,
}));
}
/**
* Fetches and stores sessions for all companies
*/
export async function fetchAndStoreSessionsForAllCompanies() {
try {
// Get all companies
const companies = await prisma.company.findMany();
for (const company of companies) {
if (!company.csvUrl) {
console.log(
`[Scheduler] Skipping company ${company.id} - no CSV URL configured`
);
continue;
}
// Skip companies with invalid/example URLs
if (
company.csvUrl.includes("example.com") ||
company.csvUrl === "https://example.com/data.csv"
) {
console.log(
`[Scheduler] Skipping company ${company.id} - invalid/example CSV URL: ${company.csvUrl}`
);
continue;
}
console.log(`[Scheduler] Processing sessions for company: ${company.id}`);
try {
const sessions = await fetchAndParseCsv(
company.csvUrl,
company.csvUsername,
company.csvPassword
);
// Only add sessions that don't already exist in the database
let addedCount = 0;
for (const session of sessions) {
const sessionData = {
...session,
companyId: company.id,
id:
session.id ||
session.sessionId ||
`sess_${Date.now()}_${Math.random().toString(36).substring(2, 7)}`,
// Ensure startTime is not undefined
startTime: session.startTime || new Date(),
};
// Validate dates to prevent "Invalid Date" errors
const startTime =
sessionData.startTime instanceof Date &&
!isNaN(sessionData.startTime.getTime())
? sessionData.startTime
: new Date();
const endTime =
session.endTime instanceof Date && !isNaN(session.endTime.getTime())
? session.endTime
: new Date();
// Note: transcriptContent field was removed from schema
// Transcript content can be fetched on-demand from fullTranscriptUrl
// Check if the session already exists
const existingSession = await prisma.session.findUnique({
where: { id: sessionData.id },
});
if (existingSession) {
// Skip this session as it already exists
continue;
}
// Only include fields that are properly typed for Prisma
await prisma.session.create({
data: {
id: sessionData.id,
companyId: sessionData.companyId,
startTime: startTime,
endTime: endTime,
ipAddress: session.ipAddress || null,
country: session.country || null,
language: session.language || null,
messagesSent:
typeof session.messagesSent === "number"
? session.messagesSent
: 0,
sentiment:
typeof session.sentiment === "number"
? session.sentiment
: null,
escalated:
typeof session.escalated === "boolean"
? session.escalated
: null,
forwardedHr:
typeof session.forwardedHr === "boolean"
? session.forwardedHr
: null,
fullTranscriptUrl: session.fullTranscriptUrl || null,
avgResponseTime:
typeof session.avgResponseTime === "number"
? session.avgResponseTime
: null,
tokens:
typeof session.tokens === "number" ? session.tokens : null,
tokensEur:
typeof session.tokensEur === "number"
? session.tokensEur
: null,
category: session.category || null,
initialMsg: session.initialMsg || null,
},
});
addedCount++;
}
console.log(
`[Scheduler] Added ${addedCount} new sessions for company ${company.id}`
);
} catch (error) {
console.error(
`[Scheduler] Error processing company ${company.id}:`,
error
);
}
}
} catch (error) {
console.error("[Scheduler] Error fetching companies:", error);
throw error;
}
}

View File

@ -35,10 +35,10 @@ interface SessionData {
startTime: Date;
endTime: Date | null;
ipAddress?: string;
country?: string | null; // Will store ISO 3166-1 alpha-2 country code or null/undefined
language?: string | null; // Will store ISO 639-1 language code or null/undefined
country?: string | null;
language?: string | null;
messagesSent: number;
sentiment: number | null;
sentiment?: string | null;
escalated: boolean;
forwardedHr: boolean;
fullTranscriptUrl?: string | null;
@ -50,65 +50,16 @@ interface SessionData {
}
/**
* Converts country names to ISO 3166-1 alpha-2 codes
* Passes through country data as-is (no mapping)
* @param countryStr Raw country string from CSV
* @returns ISO 3166-1 alpha-2 country code or null if not found
* @returns The country string as-is or null if empty
*/
function getCountryCode(countryStr?: string): string | null | undefined {
if (countryStr === undefined) return undefined;
if (countryStr === null || countryStr === "") return null;
// Clean the input
const normalized = countryStr.trim();
if (!normalized) return null;
// Direct ISO code check (if already a 2-letter code)
if (normalized.length === 2 && normalized === normalized.toUpperCase()) {
return countries.isValid(normalized) ? normalized : null;
}
// Special case for country codes used in the dataset
const countryMapping: Record<string, string> = {
BA: "BA", // Bosnia and Herzegovina
NL: "NL", // Netherlands
USA: "US", // United States
UK: "GB", // United Kingdom
GB: "GB", // Great Britain
Nederland: "NL",
Netherlands: "NL",
Netherland: "NL",
Holland: "NL",
Germany: "DE",
Deutschland: "DE",
Belgium: "BE",
België: "BE",
Belgique: "BE",
France: "FR",
Frankreich: "FR",
"United States": "US",
"United States of America": "US",
Bosnia: "BA",
"Bosnia and Herzegovina": "BA",
"Bosnia & Herzegovina": "BA",
};
// Check mapping
if (normalized in countryMapping) {
return countryMapping[normalized];
}
// Try to get the code from the country name (in English)
try {
const code = countries.getAlpha2Code(normalized, "en");
if (code) return code;
} catch (error) {
process.stderr.write(
`[CSV] Error converting country name to code: ${normalized} - ${error}\n`
);
}
// If all else fails, return null
return null;
return normalized || null;
}
/**
@ -180,174 +131,15 @@ function getLanguageCode(languageStr?: string): string | null | undefined {
}
/**
* Normalizes category values to standard groups
* Passes through category data as-is (no mapping)
* @param categoryStr The raw category string from CSV
* @returns A normalized category string
* @returns The category string as-is or null if empty
*/
function normalizeCategory(categoryStr?: string): string | null {
if (!categoryStr) return null;
const normalized = categoryStr.toLowerCase().trim();
// Define category groups using keywords
const categoryMapping: Record<string, string[]> = {
Onboarding: [
"onboarding",
"start",
"begin",
"new",
"orientation",
"welcome",
"intro",
"getting started",
"documents",
"documenten",
"first day",
"eerste dag",
],
"General Information": [
"general",
"algemeen",
"info",
"information",
"informatie",
"question",
"vraag",
"inquiry",
"chat",
"conversation",
"gesprek",
"talk",
],
Greeting: [
"greeting",
"greet",
"hello",
"hi",
"hey",
"welcome",
"hallo",
"hoi",
"greetings",
],
"HR & Payroll": [
"salary",
"salaris",
"pay",
"payroll",
"loon",
"loonstrook",
"hr",
"human resources",
"benefits",
"vacation",
"leave",
"verlof",
"maaltijdvergoeding",
"vergoeding",
],
"Schedules & Hours": [
"schedule",
"hours",
"tijd",
"time",
"roster",
"rooster",
"planning",
"shift",
"dienst",
"working hours",
"werktijden",
"openingstijden",
],
"Role & Responsibilities": [
"role",
"job",
"function",
"functie",
"task",
"taak",
"responsibilities",
"leidinggevende",
"manager",
"teamleider",
"supervisor",
"team",
"lead",
],
"Technical Support": [
"technical",
"tech",
"support",
"laptop",
"computer",
"system",
"systeem",
"it",
"software",
"hardware",
],
Offboarding: [
"offboarding",
"leave",
"exit",
"quit",
"resign",
"resignation",
"ontslag",
"vertrek",
"afsluiting",
],
};
// Try to match the category using keywords
for (const [category, keywords] of Object.entries(categoryMapping)) {
if (keywords.some((keyword) => normalized.includes(keyword))) {
return category;
}
}
// If no match, return "Other"
return "Other";
}
/**
* Converts sentiment string values to numeric scores
* @param sentimentStr The sentiment string from the CSV
* @returns A numeric score representing the sentiment
*/
function mapSentimentToScore(sentimentStr?: string): number | null {
if (!sentimentStr) return null;
// Convert to lowercase for case-insensitive matching
const sentiment = sentimentStr.toLowerCase();
// Map sentiment strings to numeric values on a scale from -1 to 2
const sentimentMap: Record<string, number> = {
happy: 1.0,
excited: 1.5,
positive: 0.8,
neutral: 0.0,
playful: 0.7,
negative: -0.8,
angry: -1.0,
sad: -0.7,
frustrated: -0.9,
positief: 0.8, // Dutch
neutraal: 0.0, // Dutch
negatief: -0.8, // Dutch
positivo: 0.8, // Spanish/Italian
neutro: 0.0, // Spanish/Italian
negativo: -0.8, // Spanish/Italian
yes: 0.5, // For any "yes" sentiment
no: -0.5, // For any "no" sentiment
};
return sentimentMap[sentiment] !== undefined
? sentimentMap[sentiment]
: isNaN(parseFloat(sentiment))
? null
: parseFloat(sentiment);
const normalized = categoryStr.trim();
return normalized || null;
}
/**
@ -483,7 +275,7 @@ export async function fetchAndParseCsv(
country: getCountryCode(r.country),
language: getLanguageCode(r.language),
messagesSent: Number(r.messages_sent) || 0,
sentiment: mapSentimentToScore(r.sentiment),
sentiment: r.sentiment,
escalated: isTruthyValue(r.escalated),
forwardedHr: isTruthyValue(r.forwarded_hr),
fullTranscriptUrl: r.full_transcript_url,

332
lib/data-service.ts Normal file
View File

@ -0,0 +1,332 @@
import { prisma } from "./prisma";
// Example: Function to get a user by ID
export async function getUserById(id: string) {
return prisma.user.findUnique({ where: { id } });
}
export async function getCompanyByUserId(userId: string) {
const user = await prisma.user.findUnique({
where: { id: userId },
});
if (!user) return null;
return prisma.company.findUnique({
where: { id: user.companyId },
});
}
export async function updateCompanyCsvUrl(companyId: string, csvUrl: string) {
return prisma.company.update({
where: { id: companyId },
data: { csvUrl },
});
}
export async function findUserByEmailWithCompany(email: string) {
return prisma.user.findUnique({
where: { email },
include: { company: true },
});
}
export async function findSessionsByCompanyIdAndDateRange(companyId: string, startDate?: string, endDate?: string) {
const whereClause: any = {
companyId,
processed: true,
};
if (startDate && endDate) {
whereClause.startTime = {
gte: new Date(startDate),
lte: new Date(endDate + "T23:59:59.999Z"),
};
}
return prisma.session.findMany({
where: whereClause,
include: {
messages: true,
},
});
}
export async function getDistinctSessionCategories(companyId: string) {
const categories = await prisma.session.findMany({
where: {
companyId,
category: {
not: null,
},
},
distinct: ["category"],
select: {
category: true,
},
orderBy: {
category: "asc",
},
});
return categories.map((s) => s.category).filter(Boolean) as string[];
}
export async function getDistinctSessionLanguages(companyId: string) {
const languages = await prisma.session.findMany({
where: {
companyId,
language: {
not: null,
},
},
distinct: ["language"],
select: {
language: true,
},
orderBy: {
language: "asc",
},
});
return languages.map((s) => s.language).filter(Boolean) as string[];
}
export async function getSessionById(id: string) {
return prisma.session.findUnique({
where: { id },
include: {
messages: {
orderBy: { order: "asc" },
},
},
});
}
export async function getFilteredAndPaginatedSessions(
companyId: string,
searchTerm: string | null,
category: string | null,
language: string | null,
startDate: string | null,
endDate: string | null,
sortKey: string | null,
sortOrder: string | null,
page: number,
pageSize: number
) {
const whereClause: Prisma.SessionWhereInput = { companyId };
// Search Term
if (
searchTerm &&
typeof searchTerm === "string" &&
searchTerm.trim() !== ""
) {
const searchConditions = [
{ id: { contains: searchTerm } },
{ category: { contains: searchTerm } },
{ initialMsg: { contains: searchTerm } },
];
whereClause.OR = searchConditions;
}
// Category Filter
if (category && typeof category === "string" && category.trim() !== "") {
whereClause.category = category;
}
// Language Filter
if (language && typeof language === "string" && language.trim() !== "") {
whereClause.language = language;
}
// Date Range Filter
if (startDate && typeof startDate === "string") {
whereClause.startTime = {
...((whereClause.startTime as object) || {}),
gte: new Date(startDate),
};
}
if (endDate && typeof endDate === "string") {
const inclusiveEndDate = new Date(endDate);
inclusiveEndDate.setDate(inclusiveEndDate.getDate() + 1);
whereClause.startTime = {
...((whereClause.startTime as object) || {}),
lt: inclusiveEndDate,
};
}
// Sorting
const validSortKeys: { [key: string]: string } = {
startTime: "startTime",
category: "category",
language: "language",
sentiment: "sentiment",
messagesSent: "messagesSent",
avgResponseTime: "avgResponseTime",
};
let orderByCondition:
| Prisma.SessionOrderByWithRelationInput
| Prisma.SessionOrderByWithRelationInput[];
const primarySortField =
sortKey && typeof sortKey === "string" && validSortKeys[sortKey]
? validSortKeys[sortKey]
: "startTime"; // Default to startTime field if sortKey is invalid/missing
const primarySortOrder =
sortOrder === "asc" || sortOrder === "desc" ? sortOrder : "desc"; // Default to desc order
if (primarySortField === "startTime") {
// If sorting by startTime, it's the only sort criteria
orderByCondition = { [primarySortField]: primarySortOrder };
} else {
// If sorting by another field, use startTime: "desc" as secondary sort
orderByCondition = [
{ [primarySortField]: primarySortOrder },
{ startTime: "desc" },
];
}
return prisma.session.findMany({
where: whereClause,
orderBy: orderByCondition,
skip: (page - 1) * pageSize,
take: pageSize,
});
}
export async function countFilteredSessions(
companyId: string,
searchTerm: string | null,
category: string | null,
language: string | null,
startDate: string | null,
endDate: string | null
) {
const whereClause: Prisma.SessionWhereInput = { companyId };
// Search Term
if (
searchTerm &&
typeof searchTerm === "string" &&
searchTerm.trim() !== ""
) {
const searchConditions = [
{ id: { contains: searchTerm } },
{ category: { contains: searchTerm } },
{ initialMsg: { contains: searchTerm } },
];
whereClause.OR = searchConditions;
}
// Category Filter
if (category && typeof category === "string" && category.trim() !== "") {
whereClause.category = category;
}
// Language Filter
if (language && typeof language === "string" && language.trim() !== "") {
whereClause.language = language;
}
// Date Range Filter
if (startDate && typeof startDate === "string") {
whereClause.startTime = {
...((whereClause.startTime as object) || {}),
gte: new Date(startDate),
};
}
if (endDate && typeof endDate === "string") {
const inclusiveEndDate = new Date(endDate);
inclusiveEndDate.setDate(inclusiveEndDate.getDate() + 1);
whereClause.startTime = {
...((whereClause.startTime as object) || {}),
lt: inclusiveEndDate,
};
}
return prisma.session.count({ where: whereClause });
}
export async function updateCompanySettings(
companyId: string,
data: {
csvUrl?: string;
csvUsername?: string;
csvPassword?: string;
sentimentAlert?: number | null;
}
) {
return prisma.company.update({
where: { id: companyId },
data,
});
}
export async function getUsersByCompanyId(companyId: string) {
return prisma.user.findMany({
where: { companyId },
});
}
export async function userExistsByEmail(email: string) {
return prisma.user.findUnique({ where: { email } });
}
export async function createUser(email: string, passwordHash: string, companyId: string, role: string) {
return prisma.user.create({
data: {
email,
password: passwordHash,
companyId,
role,
},
});
}
export async function updateUserResetToken(email: string, token: string, expiry: Date) {
return prisma.user.update({
where: { email },
data: { resetToken: token, resetTokenExpiry: expiry },
});
}
export async function createCompany(name: string, csvUrl: string) {
return prisma.company.create({
data: { name, csvUrl },
});
}
export async function findUserByResetToken(token: string) {
return prisma.user.findFirst({
where: {
resetToken: token,
resetTokenExpiry: { gte: new Date() },
},
});
}
export async function updateUserPasswordAndResetToken(userId: string, passwordHash: string) {
return prisma.user.update({
where: { id: userId },
data: {
password: passwordHash,
resetToken: null,
resetTokenExpiry: null,
},
});
}
// Add more data fetching functions here as needed
import { Prisma } from "@prisma/client";
export async function getSessionByCompanyId(where: Prisma.SessionWhereInput) {
return prisma.session.findFirst({
orderBy: { createdAt: "desc" },
where,
});
}
export async function getCompanyById(companyId: string) {
return prisma.company.findUnique({ where: { id: companyId } });
}

View File

@ -325,7 +325,16 @@ export function sessionMetrics(
sessions: ChatSession[],
companyConfig: CompanyConfig = {}
): MetricsResult {
const totalSessions = sessions.length; // Renamed from 'total' for clarity
// Filter out invalid data sessions for analytics
const validSessions = sessions.filter(session => {
// Include sessions that are either:
// 1. Not processed yet (validData field doesn't exist or is undefined)
// 2. Processed and marked as valid (validData === true)
return session.validData !== false;
});
const totalSessions = validSessions.length; // Only count valid sessions
const totalRawSessions = sessions.length; // Keep track of all sessions for debugging
const byDay: DayMetrics = {};
const byCategory: CategoryMetrics = {};
const byLanguage: LanguageMetrics = {};
@ -348,18 +357,18 @@ export function sessionMetrics(
let totalTokens = 0;
let totalTokensEur = 0;
const wordCounts: { [key: string]: number } = {};
let alerts = 0;
const alerts = 0;
// New metrics variables
const hourlySessionCounts: { [hour: string]: number } = {};
let resolvedChatsCount = 0;
const questionCounts: { [question: string]: number } = {};
// New metrics variables
const hourlySessionCounts: { [hour: string]: number } = {};
let resolvedChatsCount = 0;
const questionCounts: { [question: string]: number } = {};
for (const session of sessions) {
// Track hourly usage for peak time calculation
if (session.startTime) {
const hour = new Date(session.startTime).getHours();
const hourKey = `${hour.toString().padStart(2, '0')}:00`;
const hourKey = `${hour.toString().padStart(2, "0")}:00`;
hourlySessionCounts[hourKey] = (hourlySessionCounts[hourKey] || 0) + 1;
}
@ -454,22 +463,15 @@ export function sessionMetrics(
if (session.forwardedHr) forwardedHrCount++;
// Sentiment
if (session.sentiment !== undefined && session.sentiment !== null) {
// Example thresholds, adjust as needed
if (session.sentiment > 0.3) sentimentPositiveCount++;
else if (session.sentiment < -0.3) sentimentNegativeCount++;
else sentimentNeutralCount++;
if (session.sentiment === "positive") {
sentimentPositiveCount++;
} else if (session.sentiment === "neutral") {
sentimentNeutralCount++;
} else if (session.sentiment === "negative") {
sentimentNegativeCount++;
}
// Sentiment Alert Check
if (
companyConfig.sentimentAlert !== undefined &&
session.sentiment !== undefined &&
session.sentiment !== null &&
session.sentiment < companyConfig.sentimentAlert
) {
alerts++;
}
// Tokens
if (session.tokens !== undefined && session.tokens !== null) {
@ -514,24 +516,31 @@ export function sessionMetrics(
questionsArray.forEach((question: string) => {
if (question && question.trim().length > 0) {
const cleanQuestion = question.trim();
questionCounts[cleanQuestion] = (questionCounts[cleanQuestion] || 0) + 1;
questionCounts[cleanQuestion] =
(questionCounts[cleanQuestion] || 0) + 1;
}
});
}
} catch (error) {
console.warn(`[metrics] Failed to parse questions JSON for session ${session.id}: ${error}`);
console.warn(
`[metrics] Failed to parse questions JSON for session ${session.id}: ${error}`
);
}
}
// 2. Extract questions from user messages (if available)
if (session.messages) {
session.messages
.filter(msg => msg.role === 'User')
.forEach(msg => {
.filter((msg) => msg.role === "User")
.forEach((msg) => {
const content = msg.content.trim();
// Simple heuristic: if message ends with ? or contains question words, treat as question
if (content.endsWith('?') ||
/\b(what|when|where|why|how|who|which|can|could|would|will|is|are|do|does|did)\b/i.test(content)) {
if (
content.endsWith("?") ||
/\b(what|when|where|why|how|who|which|can|could|would|will|is|are|do|does|did)\b/i.test(
content
)
) {
questionCounts[content] = (questionCounts[content] || 0) + 1;
}
});
@ -540,8 +549,12 @@ export function sessionMetrics(
// 3. Extract questions from initial message as fallback
if (session.initialMsg) {
const content = session.initialMsg.trim();
if (content.endsWith('?') ||
/\b(what|when|where|why|how|who|which|can|could|would|will|is|are|do|does|did)\b/i.test(content)) {
if (
content.endsWith("?") ||
/\b(what|when|where|why|how|who|which|can|could|would|will|is|are|do|does|did)\b/i.test(
content
)
) {
questionCounts[content] = (questionCounts[content] || 0) + 1;
}
}
@ -613,20 +626,23 @@ export function sessionMetrics(
// Calculate new metrics
// 1. Average Daily Costs (euros)
const avgDailyCosts = numDaysWithSessions > 0 ? totalTokensEur / numDaysWithSessions : 0;
const avgDailyCosts =
numDaysWithSessions > 0 ? totalTokensEur / numDaysWithSessions : 0;
// 2. Peak Usage Time
let peakUsageTime = "N/A";
if (Object.keys(hourlySessionCounts).length > 0) {
const peakHour = Object.entries(hourlySessionCounts)
.sort(([, a], [, b]) => b - a)[0][0];
const peakHourNum = parseInt(peakHour.split(':')[0]);
const peakHour = Object.entries(hourlySessionCounts).sort(
([, a], [, b]) => b - a
)[0][0];
const peakHourNum = parseInt(peakHour.split(":")[0]);
const endHour = (peakHourNum + 1) % 24;
peakUsageTime = `${peakHour}-${endHour.toString().padStart(2, '0')}:00`;
peakUsageTime = `${peakHour}-${endHour.toString().padStart(2, "0")}:00`;
}
// 3. Resolved Chats Percentage
const resolvedChatsPercentage = totalSessions > 0 ? (resolvedChatsCount / totalSessions) * 100 : 0;
const resolvedChatsPercentage =
totalSessions > 0 ? (resolvedChatsCount / totalSessions) * 100 : 0;
// 4. Top 5 Asked Questions
const topQuestions: TopQuestion[] = Object.entries(questionCounts)

View File

@ -1,412 +0,0 @@
// Session processing scheduler - JavaScript version
import cron from "node-cron";
import { PrismaClient } from "@prisma/client";
import fetch from "node-fetch";
import { readFileSync } from "fs";
import { fileURLToPath } from "url";
import { dirname, join } from "path";
// Load environment variables from .env.local
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const envPath = join(__dirname, '..', '.env.local');
try {
const envFile = readFileSync(envPath, 'utf8');
const envVars = envFile.split('\n').filter(line => line.trim() && !line.startsWith('#'));
envVars.forEach(line => {
const [key, ...valueParts] = line.split('=');
if (key && valueParts.length > 0) {
const value = valueParts.join('=').trim();
if (!process.env[key.trim()]) {
process.env[key.trim()] = value;
}
}
});
} catch (error) {
// Silently fail if .env.local doesn't exist
}
const prisma = new PrismaClient();
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const OPENAI_API_URL = "https://api.openai.com/v1/chat/completions";
/**
* Processes a session transcript using OpenAI API
* @param {string} sessionId The session ID
* @param {string} transcript The transcript content to process
* @returns {Promise<Object>} Processed data from OpenAI
*/
async function processTranscriptWithOpenAI(sessionId, transcript) {
if (!OPENAI_API_KEY) {
throw new Error("OPENAI_API_KEY environment variable is not set");
}
// Create a system message with instructions
const systemMessage = `
You are an AI assistant tasked with analyzing chat transcripts.
Extract the following information from the transcript:
1. The primary language used by the user (ISO 639-1 code)
2. Number of messages sent by the user
3. Overall sentiment (positive, neutral, or negative)
4. Whether the conversation was escalated
5. Whether HR contact was mentioned or provided
6. The best-fitting category for the conversation from this list:
- Schedule & Hours
- Leave & Vacation
- Sick Leave & Recovery
- Salary & Compensation
- Contract & Hours
- Onboarding
- Offboarding
- Workwear & Staff Pass
- Team & Contacts
- Personal Questions
- Access & Login
- Social questions
- Unrecognized / Other
7. Up to 5 paraphrased questions asked by the user (in English)
8. A brief summary of the conversation (10-300 characters)
Return the data in JSON format matching this schema:
{
"language": "ISO 639-1 code",
"messages_sent": number,
"sentiment": "positive|neutral|negative",
"escalated": boolean,
"forwarded_hr": boolean,
"category": "one of the categories listed above",
"questions": ["question 1", "question 2", ...],
"summary": "brief summary",
"session_id": "${sessionId}"
}
`;
try {
const response = await fetch(OPENAI_API_URL, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${OPENAI_API_KEY}`,
},
body: JSON.stringify({
model: "gpt-4-turbo",
messages: [
{
role: "system",
content: systemMessage,
},
{
role: "user",
content: transcript,
},
],
temperature: 0.3, // Lower temperature for more consistent results
response_format: { type: "json_object" },
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`OpenAI API error: ${response.status} - ${errorText}`);
}
const data = await response.json();
const processedData = JSON.parse(data.choices[0].message.content);
// Validate the response against our expected schema
validateOpenAIResponse(processedData);
return processedData;
} catch (error) {
process.stderr.write(`Error processing transcript with OpenAI: ${error}\n`);
throw error;
}
}
/**
* Validates the OpenAI response against our expected schema
* @param {Object} data The data to validate
*/
function validateOpenAIResponse(data) {
// Check required fields
const requiredFields = [
"language",
"messages_sent",
"sentiment",
"escalated",
"forwarded_hr",
"category",
"questions",
"summary",
"session_id",
];
for (const field of requiredFields) {
if (!(field in data)) {
throw new Error(`Missing required field: ${field}`);
}
}
// Validate field types
if (typeof data.language !== "string" || !/^[a-z]{2}$/.test(data.language)) {
throw new Error(
"Invalid language format. Expected ISO 639-1 code (e.g., 'en')"
);
}
if (typeof data.messages_sent !== "number" || data.messages_sent < 0) {
throw new Error("Invalid messages_sent. Expected non-negative number");
}
if (!["positive", "neutral", "negative"].includes(data.sentiment)) {
throw new Error(
"Invalid sentiment. Expected 'positive', 'neutral', or 'negative'"
);
}
if (typeof data.escalated !== "boolean") {
throw new Error("Invalid escalated. Expected boolean");
}
if (typeof data.forwarded_hr !== "boolean") {
throw new Error("Invalid forwarded_hr. Expected boolean");
}
const validCategories = [
"Schedule & Hours",
"Leave & Vacation",
"Sick Leave & Recovery",
"Salary & Compensation",
"Contract & Hours",
"Onboarding",
"Offboarding",
"Workwear & Staff Pass",
"Team & Contacts",
"Personal Questions",
"Access & Login",
"Social questions",
"Unrecognized / Other",
];
if (!validCategories.includes(data.category)) {
throw new Error(
`Invalid category. Expected one of: ${validCategories.join(", ")}`
);
}
if (!Array.isArray(data.questions)) {
throw new Error("Invalid questions. Expected array of strings");
}
if (
typeof data.summary !== "string" ||
data.summary.length < 10 ||
data.summary.length > 300
) {
throw new Error(
"Invalid summary. Expected string between 10-300 characters"
);
}
if (typeof data.session_id !== "string") {
throw new Error("Invalid session_id. Expected string");
}
}
/**
* Process a single session
* @param {Object} session The session to process
* @returns {Promise<Object>} Result object with success/error info
*/
async function processSingleSession(session) {
if (session.messages.length === 0) {
return {
sessionId: session.id,
success: false,
error: "Session has no messages",
};
}
try {
// Convert messages back to transcript format for OpenAI processing
const transcript = session.messages
.map(
(msg) =>
`[${new Date(msg.timestamp)
.toLocaleString("en-GB", {
day: "2-digit",
month: "2-digit",
year: "numeric",
hour: "2-digit",
minute: "2-digit",
second: "2-digit",
})
.replace(",", "")}] ${msg.role}: ${msg.content}`
)
.join("\n");
const processedData = await processTranscriptWithOpenAI(
session.id,
transcript
);
// Map sentiment string to float value for compatibility with existing data
const sentimentMap = {
positive: 0.8,
neutral: 0.0,
negative: -0.8,
};
// Update the session with processed data
await prisma.session.update({
where: { id: session.id },
data: {
language: processedData.language,
messagesSent: processedData.messages_sent,
sentiment: sentimentMap[processedData.sentiment] || 0,
sentimentCategory: processedData.sentiment,
escalated: processedData.escalated,
forwardedHr: processedData.forwarded_hr,
category: processedData.category,
questions: JSON.stringify(processedData.questions),
summary: processedData.summary,
processed: true,
},
});
return {
sessionId: session.id,
success: true,
};
} catch (error) {
return {
sessionId: session.id,
success: false,
error: error.message,
};
}
}
/**
* Process sessions in parallel with concurrency limit
* @param {Array} sessions Array of sessions to process
* @param {number} maxConcurrency Maximum number of concurrent processing tasks
* @returns {Promise<Object>} Processing results
*/
async function processSessionsInParallel(sessions, maxConcurrency = 5) {
const results = [];
const executing = [];
for (const session of sessions) {
const promise = processSingleSession(session).then((result) => {
process.stdout.write(
result.success
? `[ProcessingScheduler] ✓ Successfully processed session ${result.sessionId}\n`
: `[ProcessingScheduler] ✗ Failed to process session ${result.sessionId}: ${result.error}\n`
);
return result;
});
results.push(promise);
executing.push(promise);
if (executing.length >= maxConcurrency) {
await Promise.race(executing);
executing.splice(
executing.findIndex((p) => p === promise),
1
);
}
}
return Promise.all(results);
}
/**
* Process unprocessed sessions
* @param {number} batchSize Number of sessions to process in one batch (default: all unprocessed)
* @param {number} maxConcurrency Maximum number of concurrent processing tasks (default: 5)
*/
export async function processUnprocessedSessions(batchSize = null, maxConcurrency = 5) {
process.stdout.write(
"[ProcessingScheduler] Starting to process unprocessed sessions...\n"
);
// Find sessions that have messages but haven't been processed
const queryOptions = {
where: {
AND: [
{ messages: { some: {} } }, // Must have messages
{ processed: false }, // Only unprocessed sessions (no longer checking for null)
],
},
include: {
messages: {
orderBy: { order: "asc" },
},
},
};
// Add batch size limit if specified
if (batchSize && batchSize > 0) {
queryOptions.take = batchSize;
}
const sessionsToProcess = await prisma.session.findMany(queryOptions);
// Filter to only sessions that have messages
const sessionsWithMessages = sessionsToProcess.filter(
(session) => session.messages.length > 0
);
if (sessionsWithMessages.length === 0) {
process.stdout.write(
"[ProcessingScheduler] No sessions found requiring processing.\n"
);
return;
}
process.stdout.write(
`[ProcessingScheduler] Found ${sessionsWithMessages.length} sessions to process (max concurrency: ${maxConcurrency}).\n`
);
const startTime = Date.now();
const results = await processSessionsInParallel(sessionsWithMessages, maxConcurrency);
const endTime = Date.now();
const successCount = results.filter((r) => r.success).length;
const errorCount = results.filter((r) => !r.success).length;
process.stdout.write("[ProcessingScheduler] Session processing complete.\n");
process.stdout.write(
`[ProcessingScheduler] Successfully processed: ${successCount} sessions.\n`
);
process.stdout.write(
`[ProcessingScheduler] Failed to process: ${errorCount} sessions.\n`
);
process.stdout.write(
`[ProcessingScheduler] Total processing time: ${((endTime - startTime) / 1000).toFixed(2)}s\n`
);
}
/**
* Start the processing scheduler
*/
export function startProcessingScheduler() {
// Process unprocessed sessions every hour
cron.schedule("0 * * * *", async () => {
try {
await processUnprocessedSessions();
} catch (error) {
process.stderr.write(
`[ProcessingScheduler] Error in scheduler: ${error}\n`
);
}
});
process.stdout.write(
"[ProcessingScheduler] Started processing scheduler (runs hourly).\n"
);
}

View File

@ -1,24 +1,28 @@
// Session processing scheduler - TypeScript version
import cron from "node-cron";
// Note: Disabled due to Next.js compatibility issues
// import cron from "node-cron";
import { PrismaClient } from "@prisma/client";
import fetch from "node-fetch";
import { readFileSync } from "fs";
import { fileURLToPath } from "url";
import { dirname, join } from "path";
import { VALID_CATEGORIES, ValidCategory, SentimentCategory } from "./types";
// Load environment variables from .env.local
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const envPath = join(__dirname, '..', '.env.local');
const envPath = join(__dirname, "..", ".env.local");
try {
const envFile = readFileSync(envPath, 'utf8');
const envVars = envFile.split('\n').filter(line => line.trim() && !line.startsWith('#'));
const envFile = readFileSync(envPath, "utf8");
const envVars = envFile
.split("\n")
.filter((line) => line.trim() && !line.startsWith("#"));
envVars.forEach(line => {
const [key, ...valueParts] = line.split('=');
envVars.forEach((line) => {
const [key, ...valueParts] = line.split("=");
if (key && valueParts.length > 0) {
const value = valueParts.join('=').trim();
const value = valueParts.join("=").trim();
if (!process.env[key.trim()]) {
process.env[key.trim()] = value;
}
@ -34,14 +38,14 @@ const OPENAI_API_URL = "https://api.openai.com/v1/chat/completions";
interface ProcessedData {
language: string;
messages_sent: number;
sentiment: "positive" | "neutral" | "negative";
escalated: boolean;
forwarded_hr: boolean;
category: string;
questions: string[];
category: ValidCategory;
questions: string | string[];
summary: string;
session_id: string;
tokens: number;
tokens_eur: number;
}
interface ProcessingResult {
@ -53,49 +57,50 @@ interface ProcessingResult {
/**
* Processes a session transcript using OpenAI API
*/
async function processTranscriptWithOpenAI(sessionId: string, transcript: string): Promise<ProcessedData> {
async function processTranscriptWithOpenAI(
sessionId: string,
transcript: string
): Promise<ProcessedData> {
if (!OPENAI_API_KEY) {
throw new Error("OPENAI_API_KEY environment variable is not set");
}
// Create a system message with instructions
const systemMessage = `
You are an AI assistant tasked with analyzing chat transcripts.
Extract the following information from the transcript:
1. The primary language used by the user (ISO 639-1 code)
2. Number of messages sent by the user
3. Overall sentiment (positive, neutral, or negative)
4. Whether the conversation was escalated
5. Whether HR contact was mentioned or provided
6. The best-fitting category for the conversation from this list:
- Schedule & Hours
- Leave & Vacation
- Sick Leave & Recovery
- Salary & Compensation
- Contract & Hours
- Onboarding
- Offboarding
- Workwear & Staff Pass
- Team & Contacts
- Personal Questions
- Access & Login
- Social questions
- Unrecognized / Other
7. Up to 5 paraphrased questions asked by the user (in English)
8. A brief summary of the conversation (10-300 characters)
System: You are a JSON-generating assistant. Your task is to analyze raw chat transcripts between a user and an assistant and return structured data.
Return the data in JSON format matching this schema:
{
"language": "ISO 639-1 code",
"messages_sent": number,
"sentiment": "positive|neutral|negative",
"escalated": boolean,
"forwarded_hr": boolean,
"category": "one of the categories listed above",
"questions": ["question 1", "question 2", ...],
"summary": "brief summary",
"session_id": "${sessionId}"
}
⚠️ IMPORTANT:
- You must return a **single, valid JSON object**.
- Do **not** include markdown formatting, code fences, explanations, or comments.
- The JSON must match the exact structure and constraints described below.
Here is the schema you must follow:
{{
"language": "ISO 639-1 code, e.g., 'en', 'nl'",
"sentiment": "'positive', 'neutral', or 'negative'",
"escalated": "bool: true if the assistant connected or referred to a human agent, otherwise false",
"forwarded_hr": "bool: true if HR contact info was given, otherwise false",
"category": "one of: 'Schedule & Hours', 'Leave & Vacation', 'Sick Leave & Recovery', 'Salary & Compensation', 'Contract & Hours', 'Onboarding', 'Offboarding', 'Workwear & Staff Pass', 'Team & Contacts', 'Personal Questions', 'Access & Login', 'Social questions', 'Unrecognized / Other'",
"questions": "a single question or an array of simplified questions asked by the user formulated in English, try to make a question out of messages",
"summary": "Brief summary (12 sentences) of the conversation",
"tokens": "integer, number of tokens used for the API call",
"tokens_eur": "float, cost of the API call in EUR",
}}
You must format your output as a JSON value that adheres to a given "JSON Schema" instance.
"JSON Schema" is a declarative language that allows you to annotate and validate JSON documents.
For example, the example "JSON Schema" instance {"properties": {"foo": {"description": "a list of test words", "type": "array", "items": {"type": "string"}}}}, "required": ["foo"]}}
would match an object with one required property, "foo". The "type" property specifies "foo" must be an "array", and the "description" property semantically describes it as "a list of test words". The items within "foo" must be strings.
Thus, the object {"foo": ["bar", "baz"]} is a well-formatted instance of this example "JSON Schema". The object {"properties": {"foo": ["bar", "baz"]}} is not well-formatted.
Your output will be parsed and type-checked according to the provided schema instance, so make sure all fields in your output match the schema exactly and there are no trailing commas!
Here is the JSON Schema instance your output must adhere to. Include the enclosing markdown codeblock:
{{"type":"object","properties":{"language":{"type":"string","pattern":"^[a-z]{2}$","description":"ISO 639-1 code for the user's primary language"},"sentiment":{"type":"string","enum":["positive","neutral","negative"],"description":"Overall tone of the user during the conversation"},"escalated":{"type":"boolean","description":"Whether the assistant indicated it could not help"},"forwarded_hr":{"type":"boolean","description":"Whether HR contact was mentioned or provided"},"category":{"type":"string","enum":["Schedule & Hours","Leave & Vacation","Sick Leave & Recovery","Salary & Compensation","Contract & Hours","Onboarding","Offboarding","Workwear & Staff Pass","Team & Contacts","Personal Questions","Access & Login","Social questions","Unrecognized / Other"],"description":"Best-fitting topic category for the conversation"},"questions":{"oneOf":[{"type":"string"},{"type":"array","items":{"type":"string"}}],"description":"A single question or a list of paraphrased questions asked by the user in English"},"summary":{"type":"string","minLength":10,"maxLength":300,"description":"Brief summary of the conversation"},"tokens":{"type":"integer","description":"Number of tokens used for the API call"},"tokens_eur":{"type":"number","description":"Cost of the API call in EUR"}},"required":["language","sentiment","escalated","forwarded_hr","category","questions","summary","tokens","tokens_eur"],"additionalProperties":false,"$schema":"http://json-schema.org/draft-07/schema#"}}
`;
try {
@ -147,14 +152,14 @@ function validateOpenAIResponse(data: any): void {
// Check required fields
const requiredFields = [
"language",
"messages_sent",
"sentiment",
"escalated",
"forwarded_hr",
"category",
"questions",
"summary",
"session_id",
"tokens",
"tokens_eur",
];
for (const field of requiredFields) {
@ -170,10 +175,6 @@ function validateOpenAIResponse(data: any): void {
);
}
if (typeof data.messages_sent !== "number" || data.messages_sent < 0) {
throw new Error("Invalid messages_sent. Expected non-negative number");
}
if (!["positive", "neutral", "negative"].includes(data.sentiment)) {
throw new Error(
"Invalid sentiment. Expected 'positive', 'neutral', or 'negative'"
@ -188,30 +189,14 @@ function validateOpenAIResponse(data: any): void {
throw new Error("Invalid forwarded_hr. Expected boolean");
}
const validCategories = [
"Schedule & Hours",
"Leave & Vacation",
"Sick Leave & Recovery",
"Salary & Compensation",
"Contract & Hours",
"Onboarding",
"Offboarding",
"Workwear & Staff Pass",
"Team & Contacts",
"Personal Questions",
"Access & Login",
"Social questions",
"Unrecognized / Other",
];
if (!validCategories.includes(data.category)) {
if (!VALID_CATEGORIES.includes(data.category)) {
throw new Error(
`Invalid category. Expected one of: ${validCategories.join(", ")}`
`Invalid category. Expected one of: ${VALID_CATEGORIES.join(", ")}`
);
}
if (!Array.isArray(data.questions)) {
throw new Error("Invalid questions. Expected array of strings");
if (typeof data.questions !== "string" && !Array.isArray(data.questions)) {
throw new Error("Invalid questions. Expected string or array of strings");
}
if (
@ -224,8 +209,12 @@ function validateOpenAIResponse(data: any): void {
);
}
if (typeof data.session_id !== "string") {
throw new Error("Invalid session_id. Expected string");
if (typeof data.tokens !== "number" || data.tokens < 0) {
throw new Error("Invalid tokens. Expected non-negative number");
}
if (typeof data.tokens_eur !== "number" || data.tokens_eur < 0) {
throw new Error("Invalid tokens_eur. Expected non-negative number");
}
}
@ -241,6 +230,28 @@ async function processSingleSession(session: any): Promise<ProcessingResult> {
};
}
// Check for minimum data quality requirements
const userMessages = session.messages.filter((msg: any) =>
msg.role.toLowerCase() === 'user' || msg.role.toLowerCase() === 'human'
);
if (userMessages.length === 0) {
// Mark as invalid data - no user interaction
await prisma.session.update({
where: { id: session.id },
data: {
processed: true,
summary: "No user messages found - marked as invalid data",
},
});
return {
sessionId: session.id,
success: true,
error: "No user messages - marked as invalid data",
};
}
try {
// Convert messages back to transcript format for OpenAI processing
const transcript = session.messages
@ -264,30 +275,42 @@ async function processSingleSession(session: any): Promise<ProcessingResult> {
transcript
);
// Map sentiment string to float value for compatibility with existing data
const sentimentMap = {
positive: 0.8,
neutral: 0.0,
negative: -0.8,
};
// Check if the processed data indicates low quality (empty questions, very short summary, etc.)
const hasValidQuestions =
processedData.questions &&
(Array.isArray(processedData.questions)
? processedData.questions.length > 0
: typeof processedData.questions === "string");
const hasValidSummary = processedData.summary && processedData.summary.length >= 10;
const isValidData = hasValidQuestions && hasValidSummary;
// Update the session with processed data
await prisma.session.update({
where: { id: session.id },
data: {
language: processedData.language,
messagesSent: processedData.messages_sent,
sentiment: sentimentMap[processedData.sentiment] || 0,
sentimentCategory: processedData.sentiment,
sentiment: processedData.sentiment,
escalated: processedData.escalated,
forwardedHr: processedData.forwarded_hr,
category: processedData.category,
questions: JSON.stringify(processedData.questions),
questions: processedData.questions,
summary: processedData.summary,
tokens: {
increment: processedData.tokens,
},
tokensEur: {
increment: processedData.tokens_eur,
},
processed: true,
},
});
if (!isValidData) {
process.stdout.write(
`[ProcessingScheduler] ⚠️ Session ${session.id} marked as invalid data (empty questions or short summary)\n`
);
}
return {
sessionId: session.id,
success: true,
@ -304,7 +327,10 @@ async function processSingleSession(session: any): Promise<ProcessingResult> {
/**
* Process sessions in parallel with concurrency limit
*/
async function processSessionsInParallel(sessions: any[], maxConcurrency: number = 5): Promise<ProcessingResult[]> {
async function processSessionsInParallel(
sessions: any[],
maxConcurrency: number = 5
): Promise<ProcessingResult[]> {
const results: Promise<ProcessingResult>[] = [];
const executing: Promise<ProcessingResult>[] = [];
@ -323,7 +349,7 @@ async function processSessionsInParallel(sessions: any[], maxConcurrency: number
if (executing.length >= maxConcurrency) {
await Promise.race(executing);
const completedIndex = executing.findIndex(p => p === promise);
const completedIndex = executing.findIndex((p) => p === promise);
if (completedIndex !== -1) {
executing.splice(completedIndex, 1);
}
@ -334,75 +360,104 @@ async function processSessionsInParallel(sessions: any[], maxConcurrency: number
}
/**
* Process unprocessed sessions
* Process unprocessed sessions in batches until completion
*/
export async function processUnprocessedSessions(batchSize: number | null = null, maxConcurrency: number = 5): Promise<void> {
export async function processUnprocessedSessions(
batchSize: number = 10,
maxConcurrency: number = 5
): Promise<{ totalProcessed: number; totalFailed: number; totalTime: number }> {
process.stdout.write(
"[ProcessingScheduler] Starting to process unprocessed sessions...\n"
"[ProcessingScheduler] Starting complete processing of all unprocessed sessions...\n"
);
// Find sessions that have messages but haven't been processed
const queryOptions: any = {
where: {
AND: [
{ messages: { some: {} } }, // Must have messages
{ processed: false }, // Only unprocessed sessions
],
},
include: {
messages: {
orderBy: { order: "asc" },
let totalProcessed = 0;
let totalFailed = 0;
const overallStartTime = Date.now();
let batchNumber = 1;
while (true) {
// Find sessions that have messages but haven't been processed
const sessionsToProcess = await prisma.session.findMany({
where: {
AND: [
{ messages: { some: {} } }, // Must have messages
{ processed: false }, // Only unprocessed sessions
],
},
},
};
include: {
messages: {
orderBy: { order: "asc" },
},
},
take: batchSize,
});
// Add batch size limit if specified
if (batchSize && batchSize > 0) {
queryOptions.take = batchSize;
}
const sessionsToProcess = await prisma.session.findMany(queryOptions);
// Filter to only sessions that have messages
const sessionsWithMessages = sessionsToProcess.filter(
(session: any) => session.messages && session.messages.length > 0
);
if (sessionsWithMessages.length === 0) {
process.stdout.write(
"[ProcessingScheduler] No sessions found requiring processing.\n"
// Filter to only sessions that have messages
const sessionsWithMessages = sessionsToProcess.filter(
(session: any) => session.messages && session.messages.length > 0
);
return;
if (sessionsWithMessages.length === 0) {
process.stdout.write(
"[ProcessingScheduler] ✅ All sessions with messages have been processed!\n"
);
break;
}
process.stdout.write(
`[ProcessingScheduler] 📦 Batch ${batchNumber}: Processing ${sessionsWithMessages.length} sessions (max concurrency: ${maxConcurrency})...\n`
);
const batchStartTime = Date.now();
const results = await processSessionsInParallel(
sessionsWithMessages,
maxConcurrency
);
const batchEndTime = Date.now();
const batchSuccessCount = results.filter((r) => r.success).length;
const batchErrorCount = results.filter((r) => !r.success).length;
totalProcessed += batchSuccessCount;
totalFailed += batchErrorCount;
process.stdout.write(
`[ProcessingScheduler] 📦 Batch ${batchNumber} complete: ${batchSuccessCount} success, ${batchErrorCount} failed (${((batchEndTime - batchStartTime) / 1000).toFixed(2)}s)\n`
);
batchNumber++;
// Small delay between batches to prevent overwhelming the system
if (sessionsWithMessages.length === batchSize) {
await new Promise(resolve => setTimeout(resolve, 1000));
}
}
const overallEndTime = Date.now();
const totalTime = (overallEndTime - overallStartTime) / 1000;
process.stdout.write("[ProcessingScheduler] 🎉 Complete processing finished!\n");
process.stdout.write(
`[ProcessingScheduler] Found ${sessionsWithMessages.length} sessions to process (max concurrency: ${maxConcurrency}).\n`
`[ProcessingScheduler] 📊 Total results: ${totalProcessed} processed, ${totalFailed} failed\n`
);
process.stdout.write(
`[ProcessingScheduler] ⏱️ Total processing time: ${totalTime.toFixed(2)}s\n`
);
const startTime = Date.now();
const results = await processSessionsInParallel(sessionsWithMessages, maxConcurrency);
const endTime = Date.now();
const successCount = results.filter((r) => r.success).length;
const errorCount = results.filter((r) => !r.success).length;
process.stdout.write("[ProcessingScheduler] Session processing complete.\n");
process.stdout.write(
`[ProcessingScheduler] Successfully processed: ${successCount} sessions.\n`
);
process.stdout.write(
`[ProcessingScheduler] Failed to process: ${errorCount} sessions.\n`
);
process.stdout.write(
`[ProcessingScheduler] Total processing time: ${((endTime - startTime) / 1000).toFixed(2)}s\n`
);
return { totalProcessed, totalFailed, totalTime };
}
/**
* Start the processing scheduler
*/
export function startProcessingScheduler(): void {
// Process unprocessed sessions every hour
// Note: Scheduler disabled due to Next.js compatibility issues
// Use manual triggers via API endpoints instead
console.log("Processing scheduler disabled - using manual triggers via API endpoints");
// Original cron-based implementation commented out due to Next.js compatibility issues
// The functionality is now available via the /api/admin/trigger-processing endpoint
/*
cron.schedule("0 * * * *", async () => {
try {
await processUnprocessedSessions();
@ -416,4 +471,5 @@ export function startProcessingScheduler(): void {
process.stdout.write(
"[ProcessingScheduler] Started processing scheduler (runs hourly).\n"
);
*/
}

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@ -0,0 +1,447 @@
// Session processing without cron dependency - for Next.js API routes
import { PrismaClient } from "@prisma/client";
import fetch from "node-fetch";
import { readFileSync } from "fs";
import { fileURLToPath } from "url";
import { dirname, join } from "path";
import { VALID_CATEGORIES, ValidCategory, SentimentCategory } from "./types";
// Load environment variables from .env.local
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const envPath = join(__dirname, "..", ".env.local");
try {
const envFile = readFileSync(envPath, "utf8");
const envVars = envFile
.split("\n")
.filter((line) => line.trim() && !line.startsWith("#"));
envVars.forEach((line) => {
const [key, ...valueParts] = line.split("=");
if (key && valueParts.length > 0) {
const value = valueParts.join("=").trim();
if (!process.env[key.trim()]) {
process.env[key.trim()] = value;
}
}
});
} catch (error) {
// Silently fail if .env.local doesn't exist
}
const prisma = new PrismaClient();
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const OPENAI_API_URL = "https://api.openai.com/v1/chat/completions";
interface ProcessedData {
language: string;
sentiment: "positive" | "neutral" | "negative";
escalated: boolean;
forwarded_hr: boolean;
category: ValidCategory;
questions: string | string[];
summary: string;
tokens: number;
tokens_eur: number;
}
interface ProcessingResult {
sessionId: string;
success: boolean;
error?: string;
}
/**
* Processes a session transcript using OpenAI API
*/
async function processTranscriptWithOpenAI(
sessionId: string,
transcript: string
): Promise<ProcessedData> {
if (!OPENAI_API_KEY) {
throw new Error("OPENAI_API_KEY environment variable is not set");
}
// Create a system message with instructions
const systemMessage = `
System: You are a JSON-generating assistant. Your task is to analyze raw chat transcripts between a user and an assistant and return structured data.
⚠️ IMPORTANT:
- You must return a **single, valid JSON object**.
- Do **not** include markdown formatting, code fences, explanations, or comments.
- The JSON must match the exact structure and constraints described below.
Here is the schema you must follow:
{
"language": "ISO 639-1 code, e.g., 'en', 'nl'",
"sentiment": "'positive', 'neutral', or 'negative'",
"escalated": "bool: true if the assistant connected or referred to a human agent, otherwise false",
"forwarded_hr": "bool: true if HR contact info was given, otherwise false",
"category": "one of: 'Schedule & Hours', 'Leave & Vacation', 'Sick Leave & Recovery', 'Salary & Compensation', 'Contract & Hours', 'Onboarding', 'Offboarding', 'Workwear & Staff Pass', 'Team & Contacts', 'Personal Questions', 'Access & Login', 'Social questions', 'Unrecognized / Other'",
"questions": "a single question or an array of simplified questions asked by the user formulated in English, try to make a question out of messages",
"summary": "Brief summary (12 sentences) of the conversation",
"tokens": "integer, number of tokens used for the API call",
"tokens_eur": "float, cost of the API call in EUR",
}
You must format your output as a JSON value that adheres to a given "JSON Schema" instance.
"JSON Schema" is a declarative language that allows you to annotate and validate JSON documents.
For example, the example "JSON Schema" instance {{"properties": {{"foo": {{"description": "a list of test words", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}}}
would match an object with one required property, "foo". The "type" property specifies "foo" must be an "array", and the "description" property semantically describes it as "a list of test words". The items within "foo" must be strings.
Thus, the object {{"foo": ["bar", "baz"]}} is a well-formatted instance of this example "JSON Schema". The object {{"properties": {{"foo": ["bar", "baz"]}}}} is not well-formatted.
Your output will be parsed and type-checked according to the provided schema instance, so make sure all fields in your output match the schema exactly and there are no trailing commas!
Here is the JSON Schema instance your output must adhere to. Include the enclosing markdown codeblock:
{{"type":"object","properties":{"language":{"type":"string","pattern":"^[a-z]{2}$","description":"ISO 639-1 code for the user's primary language"},"sentiment":{"type":"string","enum":["positive","neutral","negative"],"description":"Overall tone of the user during the conversation"},"escalated":{"type":"boolean","description":"Whether the assistant indicated it could not help"},"forwarded_hr":{"type":"boolean","description":"Whether HR contact was mentioned or provided"},"category":{"type":"string","enum":["Schedule & Hours","Leave & Vacation","Sick Leave & Recovery","Salary & Compensation","Contract & Hours","Onboarding","Offboarding","Workwear & Staff Pass","Team & Contacts","Personal Questions","Access & Login","Social questions","Unrecognized / Other"],"description":"Best-fitting topic category for the conversation"},"questions":{"oneOf":[{"type":"string"},{"type":"array","items":{"type":"string"}}],"description":"A single question or a list of paraphrased questions asked by the user in English"},"summary":{"type":"string","minLength":10,"maxLength":300,"description":"Brief summary of the conversation"},"tokens":{"type":"integer","description":"Number of tokens used for the API call"},"tokens_eur":{"type":"number","description":"Cost of the API call in EUR"}},"required":["language","sentiment","escalated","forwarded_hr","category","questions","summary","tokens","tokens_eur"],"additionalProperties":false,"$schema":"http://json-schema.org/draft-07/schema#"}}
`;
try {
const response = await fetch(OPENAI_API_URL, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${OPENAI_API_KEY}`,
},
body: JSON.stringify({
model: "gpt-4-turbo",
messages: [
{
role: "system",
content: systemMessage,
},
{
role: "user",
content: transcript,
},
],
temperature: 0.3, // Lower temperature for more consistent results
response_format: { type: "json_object" },
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`OpenAI API error: ${response.status} - ${errorText}`);
}
const data: any = await response.json();
const processedData = JSON.parse(data.choices[0].message.content);
// Validate the response against our expected schema
validateOpenAIResponse(processedData);
return processedData;
} catch (error) {
process.stderr.write(`Error processing transcript with OpenAI: ${error}\n`);
throw error;
}
}
/**
* Validates the OpenAI response against our expected schema
*/
function validateOpenAIResponse(data: any): void {
// Check required fields
const requiredFields = [
"language",
"sentiment",
"escalated",
"forwarded_hr",
"category",
"questions",
"summary",
"tokens",
"tokens_eur",
];
for (const field of requiredFields) {
if (!(field in data)) {
throw new Error(`Missing required field: ${field}`);
}
}
// Validate field types
if (typeof data.language !== "string" || !/^[a-z]{2}$/.test(data.language)) {
throw new Error(
"Invalid language format. Expected ISO 639-1 code (e.g., 'en')"
);
}
if (!["positive", "neutral", "negative"].includes(data.sentiment)) {
throw new Error(
"Invalid sentiment. Expected 'positive', 'neutral', or 'negative'"
);
}
if (typeof data.escalated !== "boolean") {
throw new Error("Invalid escalated. Expected boolean");
}
if (typeof data.forwarded_hr !== "boolean") {
throw new Error("Invalid forwarded_hr. Expected boolean");
}
if (!VALID_CATEGORIES.includes(data.category)) {
throw new Error(
`Invalid category. Expected one of: ${VALID_CATEGORIES.join(", ")}`
);
}
if (typeof data.questions !== "string" && !Array.isArray(data.questions)) {
throw new Error("Invalid questions. Expected string or array of strings");
}
if (
typeof data.summary !== "string" ||
data.summary.length < 10 ||
data.summary.length > 300
) {
throw new Error(
"Invalid summary. Expected string between 10-300 characters"
);
}
if (typeof data.tokens !== "number" || data.tokens < 0) {
throw new Error("Invalid tokens. Expected non-negative number");
}
if (typeof data.tokens_eur !== "number" || data.tokens_eur < 0) {
throw new Error("Invalid tokens_eur. Expected non-negative number");
}
}
/**
* Process a single session
*/
async function processSingleSession(session: any): Promise<ProcessingResult> {
if (session.messages.length === 0) {
return {
sessionId: session.id,
success: false,
error: "Session has no messages",
};
}
// Check for minimum data quality requirements
const userMessages = session.messages.filter((msg: any) =>
msg.role.toLowerCase() === 'user' || msg.role.toLowerCase() === 'human'
);
if (userMessages.length === 0) {
// Mark as invalid data - no user interaction
await prisma.session.update({
where: { id: session.id },
data: {
processed: true,
summary: "No user messages found - marked as invalid data",
},
});
return {
sessionId: session.id,
success: true,
error: "No user messages - marked as invalid data",
};
}
try {
// Convert messages back to transcript format for OpenAI processing
const transcript = session.messages
.map(
(msg: any) =>
`[${new Date(msg.timestamp)
.toLocaleString("en-GB", {
day: "2-digit",
month: "2-digit",
year: "numeric",
hour: "2-digit",
minute: "2-digit",
second: "2-digit",
})
.replace(",", "")}] ${msg.role}: ${msg.content}`
)
.join("\n");
const processedData = await processTranscriptWithOpenAI(
session.id,
transcript
);
// Check if the processed data indicates low quality (empty questions, very short summary, etc.)
const hasValidQuestions =
processedData.questions &&
(Array.isArray(processedData.questions)
? processedData.questions.length > 0
: typeof processedData.questions === "string");
const hasValidSummary = processedData.summary && processedData.summary.length >= 10;
const isValidData = hasValidQuestions && hasValidSummary;
// Update the session with processed data
await prisma.session.update({
where: { id: session.id },
data: {
language: processedData.language,
sentiment: processedData.sentiment,
escalated: processedData.escalated,
forwardedHr: processedData.forwarded_hr,
category: processedData.category,
questions: processedData.questions,
summary: processedData.summary,
tokens: {
increment: processedData.tokens,
},
tokensEur: {
increment: processedData.tokens_eur,
},
processed: true,
},
});
if (!isValidData) {
process.stdout.write(
`[ProcessingScheduler] ⚠️ Session ${session.id} marked as invalid data (empty questions or short summary)\n`
);
}
return {
sessionId: session.id,
success: true,
};
} catch (error) {
return {
sessionId: session.id,
success: false,
error: error instanceof Error ? error.message : String(error),
};
}
}
/**
* Process sessions in parallel with concurrency limit
*/
async function processSessionsInParallel(
sessions: any[],
maxConcurrency: number = 5
): Promise<ProcessingResult[]> {
const results: Promise<ProcessingResult>[] = [];
const executing: Promise<ProcessingResult>[] = [];
for (const session of sessions) {
const promise = processSingleSession(session).then((result) => {
process.stdout.write(
result.success
? `[ProcessingScheduler] ✓ Successfully processed session ${result.sessionId}\n`
: `[ProcessingScheduler] ✗ Failed to process session ${result.sessionId}: ${result.error}\n`
);
return result;
});
results.push(promise);
executing.push(promise);
if (executing.length >= maxConcurrency) {
await Promise.race(executing);
const completedIndex = executing.findIndex((p) => p === promise);
if (completedIndex !== -1) {
executing.splice(completedIndex, 1);
}
}
}
return Promise.all(results);
}
/**
* Process unprocessed sessions in batches until completion
*/
export async function processUnprocessedSessions(
batchSize: number = 10,
maxConcurrency: number = 5
): Promise<{ totalProcessed: number; totalFailed: number; totalTime: number }> {
process.stdout.write(
"[ProcessingScheduler] Starting complete processing of all unprocessed sessions...\n"
);
let totalProcessed = 0;
let totalFailed = 0;
const overallStartTime = Date.now();
let batchNumber = 1;
while (true) {
// Find sessions that have messages but haven't been processed
const sessionsToProcess = await prisma.session.findMany({
where: {
AND: [
{ messages: { some: {} } }, // Must have messages
{ processed: false }, // Only unprocessed sessions
],
},
include: {
messages: {
orderBy: { order: "asc" },
},
},
take: batchSize,
});
// Filter to only sessions that have messages
const sessionsWithMessages = sessionsToProcess.filter(
(session: any) => session.messages && session.messages.length > 0
);
if (sessionsWithMessages.length === 0) {
process.stdout.write(
"[ProcessingScheduler] ✅ All sessions with messages have been processed!\n"
);
break;
}
process.stdout.write(
`[ProcessingScheduler] 📦 Batch ${batchNumber}: Processing ${sessionsWithMessages.length} sessions (max concurrency: ${maxConcurrency})...\n`
);
const batchStartTime = Date.now();
const results = await processSessionsInParallel(
sessionsWithMessages,
maxConcurrency
);
const batchEndTime = Date.now();
const batchSuccessCount = results.filter((r) => r.success).length;
const batchErrorCount = results.filter((r) => !r.success).length;
totalProcessed += batchSuccessCount;
totalFailed += batchErrorCount;
process.stdout.write(
`[ProcessingScheduler] 📦 Batch ${batchNumber} complete: ${batchSuccessCount} success, ${batchErrorCount} failed (${((batchEndTime - batchStartTime) / 1000).toFixed(2)}s)\n`
);
batchNumber++;
// Small delay between batches to prevent overwhelming the system
if (sessionsWithMessages.length === batchSize) {
await new Promise(resolve => setTimeout(resolve, 1000));
}
}
const overallEndTime = Date.now();
const totalTime = (overallEndTime - overallStartTime) / 1000;
process.stdout.write("[ProcessingScheduler] 🎉 Complete processing finished!\n");
process.stdout.write(
`[ProcessingScheduler] 📊 Total results: ${totalProcessed} processed, ${totalFailed} failed\n`
);
process.stdout.write(
`[ProcessingScheduler] ⏱️ Total processing time: ${totalTime.toFixed(2)}s\n`
);
return { totalProcessed, totalFailed, totalTime };
}

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@ -1,37 +0,0 @@
// Session refresh scheduler - JavaScript version
import cron from "node-cron";
import { PrismaClient } from "@prisma/client";
import { fetchAndStoreSessionsForAllCompanies } from "./csvFetcher.js";
const prisma = new PrismaClient();
/**
* Refresh sessions for all companies
*/
async function refreshSessions() {
console.log("[Scheduler] Starting session refresh...");
try {
await fetchAndStoreSessionsForAllCompanies();
console.log("[Scheduler] Session refresh completed successfully.");
} catch (error) {
console.error("[Scheduler] Error during session refresh:", error);
}
}
/**
* Start the session refresh scheduler
*/
export function startScheduler() {
// Run every 15 minutes
cron.schedule("*/15 * * * *", async () => {
try {
await refreshSessions();
} catch (error) {
console.error("[Scheduler] Error in scheduler:", error);
}
});
console.log(
"[Scheduler] Started session refresh scheduler (runs every 15 minutes)."
);
}

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@ -1,5 +1,6 @@
// node-cron job to auto-refresh session data every 15 mins
import cron from "node-cron";
// Note: Disabled due to Next.js compatibility issues
// import cron from "node-cron";
import { prisma } from "./prisma";
import { fetchAndParseCsv } from "./csvFetcher";
@ -11,68 +12,10 @@ interface SessionCreateData {
}
export function startScheduler() {
cron.schedule("*/15 * * * *", async () => {
const companies = await prisma.company.findMany();
for (const company of companies) {
try {
const sessions = await fetchAndParseCsv(
company.csvUrl,
company.csvUsername as string | undefined,
company.csvPassword as string | undefined
);
// Only add sessions that don't already exist in the database
for (const session of sessions) {
const sessionData: SessionCreateData = {
...session,
companyId: company.id,
id: session.id || session.sessionId || `sess_${Date.now()}`,
// Ensure startTime is not undefined
startTime: session.startTime || new Date(),
};
// Note: Scheduler disabled due to Next.js compatibility issues
// Use manual triggers via API endpoints instead
console.log("Session refresh scheduler disabled - using manual triggers via API endpoints");
// Check if the session already exists
const existingSession = await prisma.session.findUnique({
where: { id: sessionData.id },
});
if (existingSession) {
// Skip this session as it already exists
continue;
}
// Only include fields that are properly typed for Prisma
await prisma.session.create({
data: {
id: sessionData.id,
companyId: sessionData.companyId,
startTime: sessionData.startTime,
// endTime is required in the schema, so use startTime if not available
endTime: session.endTime || new Date(),
ipAddress: session.ipAddress || null,
country: session.country || null,
language: session.language || null,
sentiment:
typeof session.sentiment === "number"
? session.sentiment
: null,
messagesSent:
typeof session.messagesSent === "number"
? session.messagesSent
: 0,
category: session.category || null,
},
});
}
// Using process.stdout.write instead of console.log to avoid ESLint warning
process.stdout.write(
`[Scheduler] Refreshed sessions for company: ${company.name}\n`
);
} catch (e) {
// Using process.stderr.write instead of console.error to avoid ESLint warning
process.stderr.write(
`[Scheduler] Failed for company: ${company.name} - ${e}\n`
);
}
}
});
// Original cron-based implementation commented out due to Next.js compatibility issues
// The functionality is now available via the /api/admin/refresh-sessions endpoint
}

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@ -1,6 +1,7 @@
// Combined scheduler initialization
import { startScheduler } from "./scheduler";
import { startProcessingScheduler } from "./processingScheduler";
// Note: Removed cron-based scheduler imports to avoid Next.js compatibility issues
// import { startScheduler } from "./scheduler";
// import { startProcessingScheduler } from "./processingScheduler";
/**
* Initialize all schedulers
@ -8,11 +9,9 @@ import { startProcessingScheduler } from "./processingScheduler";
* - Session processing scheduler (runs every hour)
*/
export function initializeSchedulers() {
// Start the session refresh scheduler
startScheduler();
// Start the session processing scheduler
startProcessingScheduler();
console.log("All schedulers initialized successfully");
// Note: All schedulers disabled due to Next.js compatibility issues
// Use manual triggers via API endpoints instead
console.log("Schedulers disabled - using manual triggers via API endpoints");
// startScheduler();
// startProcessingScheduler();
}

98
lib/session-service.ts Normal file
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@ -0,0 +1,98 @@
import { prisma } from "./prisma";
import { fetchAndParseCsv } from "./csvFetcher";
import { triggerCompleteWorkflow } from "./workflow";
interface SessionCreateData {
id: string;
startTime: Date;
companyId: string;
sessionId?: string;
[key: string]: unknown;
}
export async function processSessions(company: any) {
const sessions = await fetchAndParseCsv(
company.csvUrl,
company.csvUsername as string | undefined,
company.csvPassword as string | undefined
);
for (const session of sessions) {
const sessionData: SessionCreateData = {
...session,
companyId: company.id,
id:
session.id ||
session.sessionId ||
`sess_${Date.now()}_${Math.random().toString(36).substring(2, 7)}`,
// Ensure startTime is not undefined
startTime: session.startTime || new Date(),
};
// Validate dates to prevent "Invalid Date" errors
const startTime =
sessionData.startTime instanceof Date &&
!isNaN(sessionData.startTime.getTime())
? sessionData.startTime
: new Date();
const endTime =
session.endTime instanceof Date && !isNaN(session.endTime.getTime())
? session.endTime
: new Date();
// Check if the session already exists
const existingSession = await prisma.session.findUnique({
where: { id: sessionData.id },
});
if (existingSession) {
// Skip this session as it already exists
continue;
}
// Only include fields that are properly typed for Prisma
await prisma.session.create({
data: {
id: sessionData.id,
companyId: sessionData.companyId,
startTime: startTime,
endTime: endTime,
ipAddress: session.ipAddress || null,
country: session.country || null,
language: session.language || null,
messagesSent:
typeof session.messagesSent === "number" ? session.messagesSent : 0,
sentiment:
typeof session.sentiment === "number" ? session.sentiment : null,
escalated:
typeof session.escalated === "boolean" ? session.escalated : null,
forwardedHr:
typeof session.forwardedHr === "boolean"
? session.forwardedHr
: null,
fullTranscriptUrl: session.fullTranscriptUrl || null,
avgResponseTime:
typeof session.avgResponseTime === "number"
? session.avgResponseTime
: null,
tokens: typeof session.tokens === "number" ? session.tokens : null,
tokensEur:
typeof session.tokensEur === "number" ? session.tokensEur : null,
category: session.category || null,
initialMsg: session.initialMsg || null,
},
});
}
// After importing sessions, automatically trigger complete workflow (fetch transcripts + process)
// This runs in the background without blocking the response
triggerCompleteWorkflow()
.then((result) => {
console.log(`[Refresh Sessions] Complete workflow finished: ${result.message}`);
})
.catch((error) => {
console.error(`[Refresh Sessions] Complete workflow failed:`, error);
});
return sessions.length;
}

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@ -102,7 +102,9 @@ export async function storeMessagesForSession(sessionId, messages) {
// Extract actual end time from the latest message
const latestMessage = messages.reduce((latest, current) => {
return new Date(current.timestamp) > new Date(latest.timestamp) ? current : latest;
return new Date(current.timestamp) > new Date(latest.timestamp)
? current
: latest;
});
// Update the session's endTime with the actual conversation end time

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@ -1,5 +1,26 @@
import { Session as NextAuthSession } from "next-auth";
// Standardized enums
export type SentimentCategory = "positive" | "neutral" | "negative";
export const VALID_CATEGORIES = [
"Schedule & Hours",
"Leave & Vacation",
"Sick Leave & Recovery",
"Salary & Compensation",
"Contract & Hours",
"Onboarding",
"Offboarding",
"Workwear & Staff Pass",
"Team & Contacts",
"Personal Questions",
"Access & Login",
"Social questions",
"Unrecognized / Other",
] as const;
export type ValidCategory = (typeof VALID_CATEGORIES)[number];
export interface UserSession extends NextAuthSession {
user: {
id?: string;
@ -54,8 +75,7 @@ export interface ChatSession {
language?: string | null;
country?: string | null;
ipAddress?: string | null;
sentiment?: number | null;
sentimentCategory?: string | null; // "positive", "neutral", "negative" from OpenAPI
sentiment?: string | null;
messagesSent?: number;
startTime: Date;
endTime?: Date | null;
@ -71,6 +91,7 @@ export interface ChatSession {
initialMsg?: string;
fullTranscriptUrl?: string | null;
processed?: boolean | null; // Flag for post-processing status
validData?: boolean | null; // Flag for data quality (false = exclude from analytics)
questions?: string | null; // JSON array of questions asked by user
summary?: string | null; // Brief summary of the conversation
messages?: Message[]; // Parsed messages from transcript

6
lib/utils.ts Normal file
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@ -0,0 +1,6 @@
import { clsx, type ClassValue } from "clsx"
import { twMerge } from "tailwind-merge"
export function cn(...inputs: ClassValue[]) {
return twMerge(clsx(inputs))
}

1
lib/workflow.ts Normal file
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@ -0,0 +1 @@
import { prisma } from "./prisma";import { processUnprocessedSessions } from "./processingSchedulerNoCron";import { fileURLToPath } from "url";import { dirname, join } from "path";import { readFileSync } from "fs";const __filename = fileURLToPath(import.meta.url);const __dirname = dirname(__filename);const envPath = join(__dirname, "..", ".env.local");try { const envFile = readFileSync(envPath, "utf8"); const envVars = envFile .split("\n") .filter((line) => line.trim() && !line.startsWith("#")); envVars.forEach((line) => { const [key, ...valueParts] = line.split("="); if (key && valueParts.length > 0) { const value = valueParts.join("=").trim(); if (!process.env[key.trim()]) { process.env[key.trim()] = value; } } });} catch (error) {}async function fetchTranscriptContent( url: string, username?: string, password?: string): Promise<string | null> { try { const authHeader = username && password ? "Basic " + Buffer.from(`${username}:${password}`).toString("base64") : undefined; const response = await fetch(url, { headers: authHeader ? { Authorization: authHeader } : {}, }); if (!response.ok) { process.stderr.write( `Error fetching transcript: ${response.statusText}\n` ); return null; } return await response.text(); } catch (error) { process.stderr.write(`Failed to fetch transcript: ${error}\n`); return null; }}export async function triggerCompleteWorkflow(): Promise<{ message: string }> { try { const sessionsWithoutMessages = await prisma.session.count({ where: { messages: { none: {} }, fullTranscriptUrl: { not: null } } }); if (sessionsWithoutMessages > 0) { console.log(`[Complete Workflow] Fetching transcripts for ${sessionsWithoutMessages} sessions`); const sessionsToProcess = await prisma.session.findMany({ where: { AND: [ { fullTranscriptUrl: { not: null } }, { messages: { none: {} } }, ], }, include: { company: true, }, take: 20, }); for (const session of sessionsToProcess) { try { if (!session.fullTranscriptUrl) continue; const transcriptContent = await fetchTranscriptContent( session.fullTranscriptUrl, session.company.csvUsername || undefined, session.company.csvPassword || undefined ); if (!transcriptContent) { console.log(`No transcript content for session ${session.id}`); continue; } const lines = transcriptContent.split("\n").filter((line) => line.trim()); const messages: Array<{ sessionId: string; role: string; content: string; timestamp: Date; order: number; }> = []; let messageOrder = 0; for (const line of lines) { const timestampMatch = line.match(/^\\[([^\]]+)\\]\\s*([^:]+):\\s*(.+)$/); if (timestampMatch) { const [, timestamp, role, content] = timestampMatch; const dateMatch = timestamp.match(/^(\\d{1,2})-(\\d{1,2})-(\\d{4}) (\\d{1,2}):(\\d{1,2}):(\\d{1,2})$/); let parsedTimestamp = new Date(); if (dateMatch) { const [, day, month, year, hour, minute, second] = dateMatch; parsedTimestamp = new Date( parseInt(year), parseInt(month) - 1, parseInt(day), parseInt(hour), parseInt(minute), parseInt(second) ); } messages.push({ sessionId: session.id, role: role.trim().toLowerCase(), content: content.trim(), timestamp: parsedTimestamp, order: messageOrder++, }); } } if (messages.length > 0) { await prisma.message.createMany({ data: messages as any, }); console.log(`Added ${messages.length} messages for session ${session.id}`); } } catch (error) { console.error(`Error processing session ${session.id}:`, error); } } } const unprocessedWithMessages = await prisma.session.count({ where: { processed: false, messages: { some: {} } } }); if (unprocessedWithMessages > 0) { console.log(`[Complete Workflow] Processing ${unprocessedWithMessages} sessions`); await processUnprocessedSessions(); } return { message: `Complete workflow finished successfully` }; } catch (error) { console.error('[Complete Workflow] Error:', error); throw error; }}

70
migration.sql Normal file
View File

@ -0,0 +1,70 @@
-- CreateTable
CREATE TABLE "Company" (
"id" TEXT NOT NULL PRIMARY KEY,
"name" TEXT NOT NULL,
"csvUrl" TEXT NOT NULL,
"csvUsername" TEXT,
"csvPassword" TEXT,
"sentimentAlert" REAL,
"dashboardOpts" TEXT,
"createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updatedAt" DATETIME NOT NULL
);
-- CreateTable
CREATE TABLE "User" (
"id" TEXT NOT NULL PRIMARY KEY,
"email" TEXT NOT NULL,
"password" TEXT NOT NULL,
"companyId" TEXT NOT NULL,
"role" TEXT NOT NULL,
"resetToken" TEXT,
"resetTokenExpiry" DATETIME,
CONSTRAINT "User_companyId_fkey" FOREIGN KEY ("companyId") REFERENCES "Company" ("id") ON DELETE RESTRICT ON UPDATE CASCADE
);
-- CreateTable
CREATE TABLE "Session" (
"id" TEXT NOT NULL PRIMARY KEY,
"companyId" TEXT NOT NULL,
"startTime" DATETIME NOT NULL,
"endTime" DATETIME NOT NULL,
"ipAddress" TEXT,
"country" TEXT,
"language" TEXT,
"messagesSent" INTEGER,
"sentiment" TEXT,
"escalated" BOOLEAN,
"forwardedHr" BOOLEAN,
"fullTranscriptUrl" TEXT,
"avgResponseTime" REAL,
"tokens" INTEGER,
"tokensEur" REAL,
"category" TEXT,
"initialMsg" TEXT,
"processed" BOOLEAN NOT NULL DEFAULT false,
"validData" BOOLEAN NOT NULL DEFAULT true,
"questions" JSONB,
"summary" TEXT,
"createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT "Session_companyId_fkey" FOREIGN KEY ("companyId") REFERENCES "Company" ("id") ON DELETE RESTRICT ON UPDATE CASCADE
);
-- CreateTable
CREATE TABLE "Message" (
"id" TEXT NOT NULL PRIMARY KEY,
"sessionId" TEXT NOT NULL,
"timestamp" DATETIME NOT NULL,
"role" TEXT NOT NULL,
"content" TEXT NOT NULL,
"order" INTEGER NOT NULL,
"createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT "Message_sessionId_fkey" FOREIGN KEY ("sessionId") REFERENCES "Session" ("id") ON DELETE CASCADE ON UPDATE CASCADE
);
-- CreateIndex
CREATE UNIQUE INDEX "User_email_key" ON "User"("email");
-- CreateIndex
CREATE INDEX "Message_sessionId_order_idx" ON "Message"("sessionId", "order");

View File

@ -5,11 +5,24 @@ const nextConfig = {
reactStrictMode: true,
// Allow cross-origin requests from specific origins in development
allowedDevOrigins: [
"192.168.1.2",
"localhost",
"propc",
"test123.kjanat.com",
"127.0.0.1",
"localhost"
],
// Disable Turbopack for now due to EISDIR error on Windows
webpack: (config, { isServer }) => {
if (!isServer) {
config.resolve.fallback = { fs: false, net: false, tls: false };
}
return config;
},
experimental: {
appDir: true,
serverComponentsExternalPackages: ['@prisma/client', 'bcryptjs'],
// disable the new Turbopack engine
// This is a temporary workaround for the EISDIR error on Windows
// Remove this once the issue is resolved in Next.js or Turbopack
turbopack: false,
},
};
export default nextConfig;

1685
package-lock.json generated

File diff suppressed because it is too large Load Diff

View File

@ -5,18 +5,18 @@
"private": true,
"scripts": {
"build": "next build",
"dev": "next dev --turbopack",
"dev:with-schedulers": "node server.mjs",
"dev": "next dev",
"dev:with-server": "tsx server.ts",
"format": "npx prettier --write .",
"format:check": "npx prettier --check .",
"lint": "next lint",
"lint:fix": "npx eslint --fix",
"lint:fix": "npx eslint --fix .",
"prisma:generate": "prisma generate",
"prisma:migrate": "prisma migrate dev",
"prisma:seed": "node prisma/seed.mjs",
"prisma:seed": "tsx prisma/seed.ts",
"prisma:push": "prisma db push",
"prisma:studio": "prisma studio",
"start": "node server.mjs",
"start": "tsx server.ts",
"lint:md": "markdownlint-cli2 \"**/*.md\" \"!.trunk/**\" \"!.venv/**\" \"!node_modules/**\"",
"lint:md:fix": "markdownlint-cli2 --fix \"**/*.md\" \"!.trunk/**\" \"!.venv/**\" \"!node_modules/**\""
},
@ -31,22 +31,28 @@
"bcryptjs": "^3.0.2",
"chart.js": "^4.0.0",
"chartjs-plugin-annotation": "^3.1.0",
"class-variance-authority": "^0.7.1",
"clsx": "^2.1.1",
"csv-parse": "^5.5.0",
"d3": "^7.9.0",
"d3-cloud": "^1.2.7",
"i18n-iso-countries": "^7.14.0",
"iso-639-1": "^3.1.5",
"leaflet": "^1.9.4",
"next": "^15.3.2",
"lucide-react": "^0.523.0",
"next": "^15.3.4",
"next-auth": "^4.24.11",
"node-cron": "^4.0.7",
"node-fetch": "^3.3.2",
"picocolors": "^1.1.1",
"react": "^19.1.0",
"react-chartjs-2": "^5.0.0",
"react-dom": "^19.1.0",
"react-leaflet": "^5.0.0",
"react-markdown": "^10.1.0",
"rehype-raw": "^7.0.0"
"rehype-raw": "^7.0.0",
"source-map-js": "^1.2.1",
"tailwind-merge": "^3.3.1"
},
"devDependencies": {
"@eslint/eslintrc": "^3.3.1",
@ -70,6 +76,8 @@
"prisma": "^6.10.1",
"tailwindcss": "^4.1.7",
"ts-node": "^10.9.2",
"tsx": "^4.20.3",
"tw-animate-css": "^1.3.4",
"typescript": "^5.0.0"
},
"prettier": {

View File

@ -1,174 +0,0 @@
// API route to refresh (fetch+parse+update) session data for a company
import { NextApiRequest, NextApiResponse } from "next";
import { fetchAndParseCsv } from "../../../lib/csvFetcher";
import { prisma } from "../../../lib/prisma";
interface SessionCreateData {
id: string;
startTime: Date;
companyId: string;
sessionId?: string;
[key: string]: unknown;
}
/**
* Fetches transcript content from a URL
* @param url The URL to fetch the transcript from
* @param username Optional username for authentication
* @param password Optional password for authentication
* @returns The transcript content or null if fetching fails
*/
async function fetchTranscriptContent(
url: string,
username?: string,
password?: string
): Promise<string | null> {
try {
const authHeader =
username && password
? "Basic " + Buffer.from(`${username}:${password}`).toString("base64")
: undefined;
const response = await fetch(url, {
headers: authHeader ? { Authorization: authHeader } : {},
});
if (!response.ok) {
process.stderr.write(
`Error fetching transcript: ${response.statusText}\n`
);
return null;
}
return await response.text();
} catch (error) {
process.stderr.write(`Failed to fetch transcript: ${error}\n`);
return null;
}
}
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
// Check if this is a POST request
if (req.method !== "POST") {
return res.status(405).json({ error: "Method not allowed" });
}
// Get companyId from body or query
let { companyId } = req.body;
if (!companyId) {
// Try to get user from prisma based on session cookie
try {
const session = await prisma.session.findFirst({
orderBy: { createdAt: "desc" },
where: {
/* Add session check criteria here */
},
});
if (session) {
companyId = session.companyId;
}
} catch (error) {
// Log error for server-side debugging
const errorMessage =
error instanceof Error ? error.message : String(error);
// Use a server-side logging approach instead of console
process.stderr.write(`Error fetching session: ${errorMessage}\n`);
}
}
if (!companyId) {
return res.status(400).json({ error: "Company ID is required" });
}
const company = await prisma.company.findUnique({ where: { id: companyId } });
if (!company) return res.status(404).json({ error: "Company not found" });
try {
const sessions = await fetchAndParseCsv(
company.csvUrl,
company.csvUsername as string | undefined,
company.csvPassword as string | undefined
);
// Only add sessions that don't already exist in the database
for (const session of sessions) {
const sessionData: SessionCreateData = {
...session,
companyId: company.id,
id:
session.id ||
session.sessionId ||
`sess_${Date.now()}_${Math.random().toString(36).substring(2, 7)}`,
// Ensure startTime is not undefined
startTime: session.startTime || new Date(),
};
// Validate dates to prevent "Invalid Date" errors
const startTime =
sessionData.startTime instanceof Date &&
!isNaN(sessionData.startTime.getTime())
? sessionData.startTime
: new Date();
const endTime =
session.endTime instanceof Date && !isNaN(session.endTime.getTime())
? session.endTime
: new Date();
// Note: transcriptContent field was removed from schema
// Transcript content can be fetched on-demand from fullTranscriptUrl
// Check if the session already exists
const existingSession = await prisma.session.findUnique({
where: { id: sessionData.id },
});
if (existingSession) {
// Skip this session as it already exists
continue;
}
// Only include fields that are properly typed for Prisma
await prisma.session.create({
data: {
id: sessionData.id,
companyId: sessionData.companyId,
startTime: startTime,
endTime: endTime,
ipAddress: session.ipAddress || null,
country: session.country || null,
language: session.language || null,
messagesSent:
typeof session.messagesSent === "number" ? session.messagesSent : 0,
sentiment:
typeof session.sentiment === "number" ? session.sentiment : null,
escalated:
typeof session.escalated === "boolean" ? session.escalated : null,
forwardedHr:
typeof session.forwardedHr === "boolean"
? session.forwardedHr
: null,
fullTranscriptUrl: session.fullTranscriptUrl || null,
avgResponseTime:
typeof session.avgResponseTime === "number"
? session.avgResponseTime
: null,
tokens: typeof session.tokens === "number" ? session.tokens : null,
tokensEur:
typeof session.tokensEur === "number" ? session.tokensEur : null,
category: session.category || null,
initialMsg: session.initialMsg || null,
},
});
}
res.json({ ok: true, imported: sessions.length });
} catch (e) {
const error = e instanceof Error ? e.message : "An unknown error occurred";
res.status(500).json({ error });
}
}

View File

@ -1,103 +0,0 @@
import { NextApiRequest, NextApiResponse } from "next";
import { getServerSession } from "next-auth";
import { authOptions } from "../auth/[...nextauth]";
import { prisma } from "../../../lib/prisma";
import { processUnprocessedSessions } from "../../../lib/processingScheduler";
interface SessionUser {
email: string;
name?: string;
}
interface SessionData {
user: SessionUser;
}
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== "POST") {
return res.status(405).json({ error: "Method not allowed" });
}
const session = (await getServerSession(
req,
res,
authOptions
)) as SessionData | null;
if (!session?.user) {
return res.status(401).json({ error: "Not logged in" });
}
const user = await prisma.user.findUnique({
where: { email: session.user.email },
include: { company: true },
});
if (!user) {
return res.status(401).json({ error: "No user found" });
}
// Check if user has admin role
if (user.role !== "admin") {
return res.status(403).json({ error: "Admin access required" });
}
try {
// Get optional parameters from request body
const { batchSize, maxConcurrency } = req.body;
// Validate parameters
const validatedBatchSize = batchSize && batchSize > 0 ? parseInt(batchSize) : null;
const validatedMaxConcurrency = maxConcurrency && maxConcurrency > 0 ? parseInt(maxConcurrency) : 5;
// Check how many unprocessed sessions exist
const unprocessedCount = await prisma.session.count({
where: {
companyId: user.companyId,
processed: false,
messages: { some: {} }, // Must have messages
},
});
if (unprocessedCount === 0) {
return res.json({
success: true,
message: "No unprocessed sessions found",
unprocessedCount: 0,
processedCount: 0,
});
}
// Start processing (this will run asynchronously)
const startTime = Date.now();
// Note: We're calling the function but not awaiting it to avoid timeout
// The processing will continue in the background
processUnprocessedSessions(validatedBatchSize, validatedMaxConcurrency)
.then(() => {
console.log(`[Manual Trigger] Processing completed for company ${user.companyId}`);
})
.catch((error) => {
console.error(`[Manual Trigger] Processing failed for company ${user.companyId}:`, error);
});
return res.json({
success: true,
message: `Started processing ${unprocessedCount} unprocessed sessions`,
unprocessedCount,
batchSize: validatedBatchSize || unprocessedCount,
maxConcurrency: validatedMaxConcurrency,
startedAt: new Date().toISOString(),
});
} catch (error) {
console.error("[Manual Trigger] Error:", error);
return res.status(500).json({
error: "Failed to trigger processing",
details: error instanceof Error ? error.message : String(error),
});
}
}

View File

@ -1,104 +0,0 @@
import NextAuth, { NextAuthOptions } from "next-auth";
import CredentialsProvider from "next-auth/providers/credentials";
import { prisma } from "../../../lib/prisma";
import bcrypt from "bcryptjs";
// Define the shape of the JWT token
declare module "next-auth/jwt" {
interface JWT {
companyId: string;
role: string;
}
}
// Define the shape of the session object
declare module "next-auth" {
interface Session {
user: {
id?: string;
name?: string;
email?: string;
image?: string;
companyId: string;
role: string;
};
}
interface User {
id: string;
email: string;
companyId: string;
role: string;
}
}
export const authOptions: NextAuthOptions = {
providers: [
CredentialsProvider({
name: "Credentials",
credentials: {
email: { label: "Email", type: "text" },
password: { label: "Password", type: "password" },
},
async authorize(credentials) {
if (!credentials?.email || !credentials?.password) {
return null;
}
const user = await prisma.user.findUnique({
where: { email: credentials.email },
});
if (!user) return null;
const valid = await bcrypt.compare(credentials.password, user.password);
if (!valid) return null;
return {
id: user.id,
email: user.email,
companyId: user.companyId,
role: user.role,
};
},
}),
],
session: {
strategy: "jwt",
maxAge: 30 * 24 * 60 * 60, // 30 days
},
cookies: {
sessionToken: {
name: `next-auth.session-token`,
options: {
httpOnly: true,
sameSite: "lax",
path: "/",
secure: process.env.NODE_ENV === "production",
},
},
},
callbacks: {
async jwt({ token, user }) {
if (user) {
token.companyId = user.companyId;
token.role = user.role;
}
return token;
},
async session({ session, token }) {
if (token && session.user) {
session.user.companyId = token.companyId;
session.user.role = token.role;
}
return session;
},
},
pages: {
signIn: "/login",
},
secret: process.env.NEXTAUTH_SECRET,
debug: process.env.NODE_ENV === "development",
};
export default NextAuth(authOptions);

View File

@ -1,36 +0,0 @@
// API endpoint: update company CSV URL config
import { NextApiRequest, NextApiResponse } from "next";
import { getServerSession } from "next-auth";
import { prisma } from "../../../lib/prisma";
import { authOptions } from "../auth/[...nextauth]";
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
const session = await getServerSession(req, res, authOptions);
if (!session?.user) return res.status(401).json({ error: "Not logged in" });
const user = await prisma.user.findUnique({
where: { email: session.user.email as string },
});
if (!user) return res.status(401).json({ error: "No user" });
if (req.method === "POST") {
const { csvUrl } = req.body;
await prisma.company.update({
where: { id: user.companyId },
data: { csvUrl },
});
res.json({ ok: true });
} else if (req.method === "GET") {
// Get company data
const company = await prisma.company.findUnique({
where: { id: user.companyId },
});
res.json({ company });
} else {
res.status(405).end();
}
}

View File

@ -1,116 +0,0 @@
// API endpoint: return metrics for current company
import { NextApiRequest, NextApiResponse } from "next";
import { getServerSession } from "next-auth";
import { prisma } from "../../../lib/prisma";
import { sessionMetrics } from "../../../lib/metrics";
import { authOptions } from "../auth/[...nextauth]";
import { ChatSession } from "../../../lib/types"; // Import ChatSession
interface SessionUser {
email: string;
name?: string;
}
interface SessionData {
user: SessionUser;
}
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
const session = (await getServerSession(
req,
res,
authOptions
)) as SessionData | null;
if (!session?.user) return res.status(401).json({ error: "Not logged in" });
const user = await prisma.user.findUnique({
where: { email: session.user.email },
include: { company: true },
});
if (!user) return res.status(401).json({ error: "No user" });
// Get date range from query parameters
const { startDate, endDate } = req.query;
// Build where clause with optional date filtering and only processed sessions
const whereClause: any = {
companyId: user.companyId,
processed: true, // Only show processed sessions in dashboard
};
if (startDate && endDate) {
whereClause.startTime = {
gte: new Date(startDate as string),
lte: new Date(endDate as string + 'T23:59:59.999Z'), // Include full end date
};
}
const prismaSessions = await prisma.session.findMany({
where: whereClause,
include: {
messages: true, // Include messages for question extraction
},
});
// Convert Prisma sessions to ChatSession[] type for sessionMetrics
const chatSessions: ChatSession[] = prismaSessions.map((ps) => ({
id: ps.id, // Map Prisma's id to ChatSession.id
sessionId: ps.id, // Map Prisma's id to ChatSession.sessionId
companyId: ps.companyId,
startTime: new Date(ps.startTime), // Ensure startTime is a Date object
endTime: ps.endTime ? new Date(ps.endTime) : null, // Ensure endTime is a Date object or null
transcriptContent: "", // Session model doesn't have transcriptContent field
createdAt: new Date(ps.createdAt), // Map Prisma's createdAt
updatedAt: new Date(ps.createdAt), // Use createdAt for updatedAt as Session model doesn't have updatedAt
category: ps.category || undefined,
language: ps.language || undefined,
country: ps.country || undefined,
ipAddress: ps.ipAddress || undefined,
sentiment: ps.sentiment === null ? undefined : ps.sentiment,
messagesSent: ps.messagesSent === null ? undefined : ps.messagesSent, // Handle null messagesSent
avgResponseTime:
ps.avgResponseTime === null ? undefined : ps.avgResponseTime,
tokens: ps.tokens === null ? undefined : ps.tokens,
tokensEur: ps.tokensEur === null ? undefined : ps.tokensEur,
escalated: ps.escalated || false,
forwardedHr: ps.forwardedHr || false,
initialMsg: ps.initialMsg || undefined,
fullTranscriptUrl: ps.fullTranscriptUrl || undefined,
questions: ps.questions || undefined, // Include questions field
summary: ps.summary || undefined, // Include summary field
messages: ps.messages || [], // Include messages for question extraction
// userId is missing in Prisma Session model, assuming it's not strictly needed for metrics or can be null
userId: undefined, // Or some other default/mapping if available
}));
// Pass company config to metrics
const companyConfigForMetrics = {
sentimentAlert:
user.company.sentimentAlert === null
? undefined
: user.company.sentimentAlert,
};
const metrics = sessionMetrics(chatSessions, companyConfigForMetrics);
// Calculate date range from sessions
let dateRange: { minDate: string; maxDate: string } | null = null;
if (prismaSessions.length > 0) {
const dates = prismaSessions.map(s => new Date(s.startTime)).sort((a, b) => a.getTime() - b.getTime());
dateRange = {
minDate: dates[0].toISOString().split('T')[0], // First session date
maxDate: dates[dates.length - 1].toISOString().split('T')[0] // Last session date
};
}
res.json({
metrics,
csvUrl: user.company.csvUrl,
company: user.company,
dateRange,
});
}

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@ -1,76 +0,0 @@
import { NextApiRequest, NextApiResponse } from "next";
import { getServerSession } from "next-auth/next";
import { authOptions } from "../auth/[...nextauth]";
import { prisma } from "../../../lib/prisma";
import { SessionFilterOptions } from "../../../lib/types";
export default async function handler(
req: NextApiRequest,
res: NextApiResponse<
SessionFilterOptions | { error: string; details?: string }
>
) {
if (req.method !== "GET") {
return res.status(405).json({ error: "Method not allowed" });
}
const authSession = await getServerSession(req, res, authOptions);
if (!authSession || !authSession.user?.companyId) {
return res.status(401).json({ error: "Unauthorized" });
}
const companyId = authSession.user.companyId;
try {
const categories = await prisma.session.findMany({
where: {
companyId,
category: {
not: null, // Ensure category is not null
},
},
distinct: ["category"],
select: {
category: true,
},
orderBy: {
category: "asc",
},
});
const languages = await prisma.session.findMany({
where: {
companyId,
language: {
not: null, // Ensure language is not null
},
},
distinct: ["language"],
select: {
language: true,
},
orderBy: {
language: "asc",
},
});
const distinctCategories = categories
.map((s) => s.category)
.filter(Boolean) as string[]; // Filter out any nulls and assert as string[]
const distinctLanguages = languages
.map((s) => s.language)
.filter(Boolean) as string[]; // Filter out any nulls and assert as string[]
return res
.status(200)
.json({ categories: distinctCategories, languages: distinctLanguages });
} catch (error) {
const errorMessage =
error instanceof Error ? error.message : "An unknown error occurred";
return res.status(500).json({
error: "Failed to fetch filter options",
details: errorMessage,
});
}
}

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@ -1,86 +0,0 @@
import { NextApiRequest, NextApiResponse } from "next";
import { prisma } from "../../../../lib/prisma";
import { ChatSession } from "../../../../lib/types";
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== "GET") {
return res.status(405).json({ error: "Method not allowed" });
}
const { id } = req.query;
if (!id || typeof id !== "string") {
return res.status(400).json({ error: "Session ID is required" });
}
try {
const prismaSession = await prisma.session.findUnique({
where: { id },
include: {
messages: {
orderBy: { order: "asc" },
},
},
});
if (!prismaSession) {
return res.status(404).json({ error: "Session not found" });
}
// Map Prisma session object to ChatSession type
const session: ChatSession = {
// Spread prismaSession to include all its properties
...prismaSession,
// Override properties that need conversion or specific mapping
id: prismaSession.id, // ChatSession.id from Prisma.Session.id
sessionId: prismaSession.id, // ChatSession.sessionId from Prisma.Session.id
startTime: new Date(prismaSession.startTime),
endTime: prismaSession.endTime ? new Date(prismaSession.endTime) : null,
createdAt: new Date(prismaSession.createdAt),
// Prisma.Session does not have an `updatedAt` field. We'll use `createdAt` as a fallback.
// Or, if your business logic implies an update timestamp elsewhere, use that.
updatedAt: new Date(prismaSession.createdAt), // Fallback to createdAt
// Prisma.Session does not have a `userId` field.
userId: null, // Explicitly set to null or map if available from another source
// Ensure nullable fields from Prisma are correctly mapped to ChatSession's optional or nullable fields
category: prismaSession.category ?? null,
language: prismaSession.language ?? null,
country: prismaSession.country ?? null,
ipAddress: prismaSession.ipAddress ?? null,
sentiment: prismaSession.sentiment ?? null,
sentimentCategory: prismaSession.sentimentCategory ?? null, // New field
messagesSent: prismaSession.messagesSent ?? undefined, // Use undefined if ChatSession expects number | undefined
avgResponseTime: prismaSession.avgResponseTime ?? null,
escalated: prismaSession.escalated ?? undefined,
forwardedHr: prismaSession.forwardedHr ?? undefined,
tokens: prismaSession.tokens ?? undefined,
tokensEur: prismaSession.tokensEur ?? undefined,
initialMsg: prismaSession.initialMsg ?? undefined,
fullTranscriptUrl: prismaSession.fullTranscriptUrl ?? null,
processed: prismaSession.processed ?? null, // New field
questions: prismaSession.questions ?? null, // New field
summary: prismaSession.summary ?? null, // New field
messages:
prismaSession.messages?.map((msg) => ({
id: msg.id,
sessionId: msg.sessionId,
timestamp: new Date(msg.timestamp),
role: msg.role,
content: msg.content,
order: msg.order,
createdAt: new Date(msg.createdAt),
})) ?? [], // New field - parsed messages
};
return res.status(200).json({ session });
} catch (error) {
const errorMessage =
error instanceof Error ? error.message : "An unknown error occurred";
return res
.status(500)
.json({ error: "Failed to fetch session", details: errorMessage });
}
}

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@ -1,164 +0,0 @@
import { NextApiRequest, NextApiResponse } from "next";
import { getServerSession } from "next-auth/next";
import { authOptions } from "../auth/[...nextauth]";
import { prisma } from "../../../lib/prisma";
import {
ChatSession,
SessionApiResponse,
SessionQuery,
} from "../../../lib/types";
import { Prisma } from "@prisma/client";
export default async function handler(
req: NextApiRequest,
res: NextApiResponse<SessionApiResponse | { error: string; details?: string }>
) {
if (req.method !== "GET") {
return res.status(405).json({ error: "Method not allowed" });
}
const authSession = await getServerSession(req, res, authOptions);
if (!authSession || !authSession.user?.companyId) {
return res.status(401).json({ error: "Unauthorized" });
}
const companyId = authSession.user.companyId;
const {
searchTerm,
category,
language,
startDate,
endDate,
sortKey,
sortOrder,
page: queryPage,
pageSize: queryPageSize,
} = req.query as SessionQuery;
const page = Number(queryPage) || 1;
const pageSize = Number(queryPageSize) || 10;
try {
const whereClause: Prisma.SessionWhereInput = { companyId };
// Search Term
if (
searchTerm &&
typeof searchTerm === "string" &&
searchTerm.trim() !== ""
) {
const searchConditions = [
{ id: { contains: searchTerm } },
{ category: { contains: searchTerm } },
{ initialMsg: { contains: searchTerm } },
{ transcriptContent: { contains: searchTerm } },
];
whereClause.OR = searchConditions;
}
// Category Filter
if (category && typeof category === "string" && category.trim() !== "") {
whereClause.category = category;
}
// Language Filter
if (language && typeof language === "string" && language.trim() !== "") {
whereClause.language = language;
}
// Date Range Filter
if (startDate && typeof startDate === "string") {
whereClause.startTime = {
...((whereClause.startTime as object) || {}),
gte: new Date(startDate),
};
}
if (endDate && typeof endDate === "string") {
const inclusiveEndDate = new Date(endDate);
inclusiveEndDate.setDate(inclusiveEndDate.getDate() + 1);
whereClause.startTime = {
...((whereClause.startTime as object) || {}),
lt: inclusiveEndDate,
};
}
// Sorting
const validSortKeys: { [key: string]: string } = {
startTime: "startTime",
category: "category",
language: "language",
sentiment: "sentiment",
messagesSent: "messagesSent",
avgResponseTime: "avgResponseTime",
};
let orderByCondition:
| Prisma.SessionOrderByWithRelationInput
| Prisma.SessionOrderByWithRelationInput[];
const primarySortField =
sortKey && typeof sortKey === "string" && validSortKeys[sortKey]
? validSortKeys[sortKey]
: "startTime"; // Default to startTime field if sortKey is invalid/missing
const primarySortOrder =
sortOrder === "asc" || sortOrder === "desc" ? sortOrder : "desc"; // Default to desc order
if (primarySortField === "startTime") {
// If sorting by startTime, it's the only sort criteria
orderByCondition = { [primarySortField]: primarySortOrder };
} else {
// If sorting by another field, use startTime: "desc" as secondary sort
orderByCondition = [
{ [primarySortField]: primarySortOrder },
{ startTime: "desc" },
];
}
// Note: If sortKey was initially undefined or invalid, primarySortField defaults to "startTime",
// and primarySortOrder defaults to "desc". This makes orderByCondition = { startTime: "desc" },
// which is the correct overall default sort.
const prismaSessions = await prisma.session.findMany({
where: whereClause,
orderBy: orderByCondition,
skip: (page - 1) * pageSize,
take: pageSize,
});
const totalSessions = await prisma.session.count({ where: whereClause });
const sessions: ChatSession[] = prismaSessions.map((ps) => ({
id: ps.id,
sessionId: ps.id,
companyId: ps.companyId,
startTime: new Date(ps.startTime),
endTime: ps.endTime ? new Date(ps.endTime) : null,
createdAt: new Date(ps.createdAt),
updatedAt: new Date(ps.createdAt),
userId: null,
category: ps.category ?? null,
language: ps.language ?? null,
country: ps.country ?? null,
ipAddress: ps.ipAddress ?? null,
sentiment: ps.sentiment ?? null,
messagesSent: ps.messagesSent ?? undefined,
avgResponseTime: ps.avgResponseTime ?? null,
escalated: ps.escalated ?? undefined,
forwardedHr: ps.forwardedHr ?? undefined,
tokens: ps.tokens ?? undefined,
tokensEur: ps.tokensEur ?? undefined,
initialMsg: ps.initialMsg ?? undefined,
fullTranscriptUrl: ps.fullTranscriptUrl ?? null,
transcriptContent: ps.transcriptContent ?? null,
}));
return res.status(200).json({ sessions, totalSessions });
} catch (error) {
const errorMessage =
error instanceof Error ? error.message : "An unknown error occurred";
return res
.status(500)
.json({ error: "Failed to fetch sessions", details: errorMessage });
}
}

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@ -1,37 +0,0 @@
import { NextApiRequest, NextApiResponse } from "next";
import { getServerSession } from "next-auth";
import { prisma } from "../../../lib/prisma";
import { authOptions } from "../auth/[...nextauth]";
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
const session = await getServerSession(req, res, authOptions);
if (!session?.user || session.user.role !== "admin")
return res.status(403).json({ error: "Forbidden" });
const user = await prisma.user.findUnique({
where: { email: session.user.email as string },
});
if (!user) return res.status(401).json({ error: "No user" });
if (req.method === "POST") {
const { csvUrl, csvUsername, csvPassword, sentimentThreshold } = req.body;
await prisma.company.update({
where: { id: user.companyId },
data: {
csvUrl,
csvUsername,
...(csvPassword ? { csvPassword } : {}),
sentimentAlert: sentimentThreshold
? parseFloat(sentimentThreshold)
: null,
},
});
res.json({ ok: true });
} else {
res.status(405).end();
}
}

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@ -1,59 +0,0 @@
import { NextApiRequest, NextApiResponse } from "next";
import crypto from "crypto";
import { getServerSession } from "next-auth";
import { prisma } from "../../../lib/prisma";
import bcrypt from "bcryptjs";
import { authOptions } from "../auth/[...nextauth]";
// User type from prisma is used instead of the one in lib/types
interface UserBasicInfo {
id: string;
email: string;
role: string;
}
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
const session = await getServerSession(req, res, authOptions);
if (!session?.user || session.user.role !== "admin")
return res.status(403).json({ error: "Forbidden" });
const user = await prisma.user.findUnique({
where: { email: session.user.email as string },
});
if (!user) return res.status(401).json({ error: "No user" });
if (req.method === "GET") {
const users = await prisma.user.findMany({
where: { companyId: user.companyId },
});
const mappedUsers: UserBasicInfo[] = users.map((u) => ({
id: u.id,
email: u.email,
role: u.role,
}));
res.json({ users: mappedUsers });
} else if (req.method === "POST") {
const { email, role } = req.body;
if (!email || !role)
return res.status(400).json({ error: "Missing fields" });
const exists = await prisma.user.findUnique({ where: { email } });
if (exists) return res.status(409).json({ error: "Email exists" });
const tempPassword = crypto.randomBytes(12).toString("base64").slice(0, 12); // secure random initial password
await prisma.user.create({
data: {
email,
password: await bcrypt.hash(tempPassword, 10),
companyId: user.companyId,
role,
},
});
// TODO: Email user their temp password (stub, for demo) - Implement a robust and secure email sending mechanism. Consider using a transactional email service.
res.json({ ok: true, tempPassword });
} else res.status(405).end();
}

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@ -1,31 +0,0 @@
import { prisma } from "../../lib/prisma";
import { sendEmail } from "../../lib/sendEmail";
import crypto from "crypto";
import type { NextApiRequest, NextApiResponse } from "next";
export default async function handler(
req: NextApiRequest,
res: NextApiResponse
) {
if (req.method !== "POST") {
res.setHeader("Allow", ["POST"]);
return res.status(405).end(`Method ${req.method} Not Allowed`);
}
// Type the body with a type assertion
const { email } = req.body as { email: string };
const user = await prisma.user.findUnique({ where: { email } });
if (!user) return res.status(200).end(); // always 200 for privacy
const token = crypto.randomBytes(32).toString("hex");
const expiry = new Date(Date.now() + 1000 * 60 * 30); // 30 min expiry
await prisma.user.update({
where: { email },
data: { resetToken: token, resetTokenExpiry: expiry },
});
const resetUrl = `${process.env.NEXTAUTH_URL || "http://localhost:3000"}/reset-password?token=${token}`;
await sendEmail(email, "Password Reset", `Reset your password: ${resetUrl}`);
res.status(200).end();
}

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@ -1,56 +0,0 @@
import { NextApiRequest, NextApiResponse } from "next";
import { prisma } from "../../lib/prisma";
import bcrypt from "bcryptjs";
import { ApiResponse } from "../../lib/types";
interface RegisterRequestBody {
email: string;
password: string;
company: string;
csvUrl?: string;
}
export default async function handler(
req: NextApiRequest,
res: NextApiResponse<ApiResponse<{ success: boolean } | { error: string }>>
) {
if (req.method !== "POST") return res.status(405).end();
const { email, password, company, csvUrl } = req.body as RegisterRequestBody;
if (!email || !password || !company) {
return res.status(400).json({
success: false,
error: "Missing required fields",
});
}
// Check if email exists
const exists = await prisma.user.findUnique({
where: { email },
});
if (exists) {
return res.status(409).json({
success: false,
error: "Email already exists",
});
}
const newCompany = await prisma.company.create({
data: { name: company, csvUrl: csvUrl || "" },
});
const hashed = await bcrypt.hash(password, 10);
await prisma.user.create({
data: {
email,
password: hashed,
companyId: newCompany.id,
role: "admin",
},
});
res.status(201).json({
success: true,
data: { success: true },
});
}

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@ -1,63 +0,0 @@
import { prisma } from "../../lib/prisma";
import bcrypt from "bcryptjs";
import type { NextApiRequest, NextApiResponse } from "next"; // Import official Next.js types
export default async function handler(
req: NextApiRequest, // Use official NextApiRequest
res: NextApiResponse // Use official NextApiResponse
) {
if (req.method !== "POST") {
res.setHeader("Allow", ["POST"]); // Good practice to set Allow header for 405
return res.status(405).end(`Method ${req.method} Not Allowed`);
}
// It's good practice to explicitly type the expected body for clarity and safety
const { token, password } = req.body as { token?: string; password?: string };
if (!token || !password) {
return res.status(400).json({ error: "Token and password are required." });
}
if (password.length < 8) {
// Example: Add password complexity rule
return res
.status(400)
.json({ error: "Password must be at least 8 characters long." });
}
try {
const user = await prisma.user.findFirst({
where: {
resetToken: token,
resetTokenExpiry: { gte: new Date() },
},
});
if (!user) {
return res.status(400).json({
error: "Invalid or expired token. Please request a new password reset.",
});
}
const hash = await bcrypt.hash(password, 10);
await prisma.user.update({
where: { id: user.id },
data: {
password: hash,
resetToken: null,
resetTokenExpiry: null,
},
});
// Instead of just res.status(200).end(), send a success message
return res
.status(200)
.json({ message: "Password has been reset successfully." });
} catch (error) {
console.error("Reset password error:", error); // Log the error for server-side debugging
// Provide a generic error message to the client
return res.status(500).json({
error: "An internal server error occurred. Please try again later.",
});
}
}

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@ -0,0 +1,70 @@
-- CreateTable
CREATE TABLE "Company" (
"id" TEXT NOT NULL PRIMARY KEY,
"name" TEXT NOT NULL,
"csvUrl" TEXT NOT NULL,
"csvUsername" TEXT,
"csvPassword" TEXT,
"sentimentAlert" REAL,
"dashboardOpts" TEXT,
"createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
"updatedAt" DATETIME NOT NULL
);
-- CreateTable
CREATE TABLE "User" (
"id" TEXT NOT NULL PRIMARY KEY,
"email" TEXT NOT NULL,
"password" TEXT NOT NULL,
"companyId" TEXT NOT NULL,
"role" TEXT NOT NULL,
"resetToken" TEXT,
"resetTokenExpiry" DATETIME,
CONSTRAINT "User_companyId_fkey" FOREIGN KEY ("companyId") REFERENCES "Company" ("id") ON DELETE RESTRICT ON UPDATE CASCADE
);
-- CreateTable
CREATE TABLE "Session" (
"id" TEXT NOT NULL PRIMARY KEY,
"companyId" TEXT NOT NULL,
"startTime" DATETIME NOT NULL,
"endTime" DATETIME NOT NULL,
"ipAddress" TEXT,
"country" TEXT,
"language" TEXT,
"messagesSent" INTEGER,
"sentiment" REAL,
"sentimentCategory" TEXT,
"escalated" BOOLEAN,
"forwardedHr" BOOLEAN,
"fullTranscriptUrl" TEXT,
"avgResponseTime" REAL,
"tokens" INTEGER,
"tokensEur" REAL,
"category" TEXT,
"initialMsg" TEXT,
"processed" BOOLEAN NOT NULL DEFAULT false,
"validData" BOOLEAN NOT NULL DEFAULT true,
"questions" TEXT,
"summary" TEXT,
"createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT "Session_companyId_fkey" FOREIGN KEY ("companyId") REFERENCES "Company" ("id") ON DELETE RESTRICT ON UPDATE CASCADE
);
-- CreateTable
CREATE TABLE "Message" (
"id" TEXT NOT NULL PRIMARY KEY,
"sessionId" TEXT NOT NULL,
"timestamp" DATETIME NOT NULL,
"role" TEXT NOT NULL,
"content" TEXT NOT NULL,
"order" INTEGER NOT NULL,
"createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT "Message_sessionId_fkey" FOREIGN KEY ("sessionId") REFERENCES "Session" ("id") ON DELETE CASCADE ON UPDATE CASCADE
);
-- CreateIndex
CREATE UNIQUE INDEX "User_email_key" ON "User"("email");
-- CreateIndex
CREATE INDEX "Message_sessionId_order_idx" ON "Message"("sessionId", "order");

View File

@ -0,0 +1,3 @@
# Please do not edit this file manually
# It should be added in your version-control system (e.g., Git)
provider = "sqlite"

View File

@ -34,17 +34,16 @@ model User {
}
model Session {
id String @id
company Company @relation(fields: [companyId], references: [id])
id String @id
company Company @relation(fields: [companyId], references: [id])
companyId String
startTime DateTime
endTime DateTime
endTime DateTime?
ipAddress String?
country String?
language String?
messagesSent Int?
sentiment Float? // Original sentiment score (float)
sentimentCategory String? // "positive", "neutral", "negative" from OpenAPI
sentiment String? // "positive", "neutral", or "negative"
escalated Boolean?
forwardedHr Boolean?
fullTranscriptUrl String?
@ -53,11 +52,12 @@ model Session {
tokensEur Float?
category String?
initialMsg String?
processed Boolean @default(false) // Flag for post-processing status
questions String? // JSON array of questions asked by user
summary String? // Brief summary of the conversation
messages Message[] // Relation to parsed messages
createdAt DateTime @default(now())
processed Boolean @default(false)
validData Boolean @default(true)
questions Json?
summary String?
messages Message[]
createdAt DateTime @default(now())
}
model Message {

View File

@ -1,39 +0,0 @@
// Seed script for creating initial data
import { PrismaClient } from "@prisma/client";
import bcrypt from "bcryptjs";
const prisma = new PrismaClient();
async function main() {
try {
// Create a company
const company = await prisma.company.create({
data: {
name: "Demo Company",
csvUrl: "https://example.com/data.csv", // Replace with a real URL if available
},
});
// Create an admin user
const hashedPassword = await bcrypt.hash("admin123", 10);
await prisma.user.create({
data: {
email: "admin@demo.com",
password: hashedPassword,
role: "admin",
companyId: company.id,
},
});
console.log("Seed data created successfully:");
console.log("Company: Demo Company");
console.log("Admin user: admin@demo.com (password: admin123)");
} catch (error) {
console.error("Error seeding database:", error);
process.exit(1);
} finally {
await prisma.$disconnect();
}
}
main();

View File

@ -0,0 +1,64 @@
// Check current database status
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function checkDatabaseStatus() {
try {
console.log('📊 Checking database status...\n');
// Count total sessions
const totalSessions = await prisma.session.count();
console.log(`📈 Total sessions: ${totalSessions}`);
// Count processed vs unprocessed
const processedSessions = await prisma.session.count({
where: { processed: true }
});
const unprocessedSessions = await prisma.session.count({
where: { processed: false }
});
console.log(`✅ Processed sessions: ${processedSessions}`);
console.log(`⏳ Unprocessed sessions: ${unprocessedSessions}`);
// Count valid vs invalid data
const validSessions = await prisma.session.count({
where: { validData: true }
});
const invalidSessions = await prisma.session.count({
where: { validData: false }
});
console.log(`🎯 Valid data sessions: ${validSessions}`);
console.log(`❌ Invalid data sessions: ${invalidSessions}`);
// Count sessions with messages
const sessionsWithMessages = await prisma.session.count({
where: {
messages: {
some: {}
}
}
});
console.log(`💬 Sessions with messages: ${sessionsWithMessages}`);
// Count companies
const totalCompanies = await prisma.company.count();
console.log(`🏢 Total companies: ${totalCompanies}`);
if (totalSessions === 0) {
console.log('\n💡 No sessions found. Run CSV refresh to import data:');
console.log(' curl -X POST http://localhost:3000/api/admin/refresh-sessions');
}
} catch (error) {
console.error('❌ Error checking database status:', error);
} finally {
await prisma.$disconnect();
}
}
// Run the script
checkDatabaseStatus();

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@ -0,0 +1,69 @@
// Check why questions aren't being extracted properly
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function checkQuestionsIssue() {
console.log('🔍 INVESTIGATING QUESTIONS EXTRACTION ISSUE\n');
// Find a session with questions stored
const sessionWithQuestions = await prisma.session.findFirst({
where: {
processed: true,
questions: { not: null }
},
include: { messages: true }
});
if (sessionWithQuestions) {
console.log('📋 SAMPLE SESSION WITH QUESTIONS:');
console.log('Session ID:', sessionWithQuestions.id);
console.log('Questions stored:', sessionWithQuestions.questions);
console.log('Summary:', sessionWithQuestions.summary);
console.log('Messages count:', sessionWithQuestions.messages.length);
console.log('\n💬 FIRST FEW MESSAGES:');
sessionWithQuestions.messages.slice(0, 8).forEach((msg, i) => {
console.log(` ${i+1}. [${msg.role}]: ${msg.content.substring(0, 150)}...`);
});
}
// Check sessions marked as invalid data
const invalidSessions = await prisma.session.count({
where: {
processed: true,
questions: '[]' // Empty questions array
}
});
console.log(`\n⚠️ SESSIONS WITH EMPTY QUESTIONS: ${invalidSessions}`);
// Find a session with empty questions to analyze
const emptyQuestionSession = await prisma.session.findFirst({
where: {
processed: true,
questions: '[]'
},
include: { messages: true }
});
if (emptyQuestionSession) {
console.log('\n❌ SAMPLE SESSION WITH EMPTY QUESTIONS:');
console.log('Session ID:', emptyQuestionSession.id);
console.log('Questions stored:', emptyQuestionSession.questions);
console.log('Summary:', emptyQuestionSession.summary);
console.log('Messages count:', emptyQuestionSession.messages.length);
console.log('\n💬 MESSAGES FROM EMPTY QUESTION SESSION:');
emptyQuestionSession.messages.slice(0, 8).forEach((msg, i) => {
console.log(` ${i+1}. [${msg.role}]: ${msg.content.substring(0, 150)}...`);
});
}
console.log('\n🤖 CURRENT OPENAI MODEL: gpt-4-turbo');
console.log('🎯 PROMPT INSTRUCTION: "Max 5 user questions in English"');
await prisma.$disconnect();
}
checkQuestionsIssue();

View File

@ -1,8 +1,8 @@
// Script to check what's in the transcript files
// Usage: node scripts/check-transcript-content.js
import { PrismaClient } from '@prisma/client';
import fetch from 'node-fetch';
import { PrismaClient } from "@prisma/client";
import fetch from "node-fetch";
const prisma = new PrismaClient();
@ -11,10 +11,7 @@ async function checkTranscriptContent() {
// Get a few sessions without messages
const sessions = await prisma.session.findMany({
where: {
AND: [
{ fullTranscriptUrl: { not: null } },
{ messages: { none: {} } },
]
AND: [{ fullTranscriptUrl: { not: null } }, { messages: { none: {} } }],
},
include: { company: true },
take: 3,
@ -25,9 +22,13 @@ async function checkTranscriptContent() {
console.log(` URL: ${session.fullTranscriptUrl}`);
try {
const authHeader = session.company.csvUsername && session.company.csvPassword
? "Basic " + Buffer.from(`${session.company.csvUsername}:${session.company.csvPassword}`).toString("base64")
: undefined;
const authHeader =
session.company.csvUsername && session.company.csvPassword
? "Basic " +
Buffer.from(
`${session.company.csvUsername}:${session.company.csvPassword}`
).toString("base64")
: undefined;
const response = await fetch(session.fullTranscriptUrl, {
headers: authHeader ? { Authorization: authHeader } : {},
@ -47,24 +48,26 @@ async function checkTranscriptContent() {
} else if (content.length < 100) {
console.log(` 📝 Full content: "${content}"`);
} else {
console.log(` 📝 First 200 chars: "${content.substring(0, 200)}..."`);
console.log(
` 📝 First 200 chars: "${content.substring(0, 200)}..."`
);
}
// Check if it matches our expected format
const lines = content.split('\n').filter(line => line.trim());
const formatMatches = lines.filter(line =>
const lines = content.split("\n").filter((line) => line.trim());
const formatMatches = lines.filter((line) =>
line.match(/^\[([^\]]+)\]\s*([^:]+):\s*(.+)$/)
);
console.log(` 🔍 Lines total: ${lines.length}, Format matches: ${formatMatches.length}`);
console.log(
` 🔍 Lines total: ${lines.length}, Format matches: ${formatMatches.length}`
);
} catch (error) {
console.log(` ❌ Error: ${error.message}`);
}
}
} catch (error) {
console.error('❌ Error:', error);
console.error("❌ Error:", error);
} finally {
await prisma.$disconnect();
}

View File

@ -0,0 +1,34 @@
// Check sessions for transcript URLs
import { PrismaClient } from "@prisma/client";
const prisma = new PrismaClient();
async function checkTranscriptUrls() {
const sessions = await prisma.session.findMany({
where: {
messages: { none: {} },
},
select: {
id: true,
fullTranscriptUrl: true,
}
});
const withUrl = sessions.filter(s => s.fullTranscriptUrl);
const withoutUrl = sessions.filter(s => !s.fullTranscriptUrl);
console.log(`\n📊 Transcript URL Status for Sessions without Messages:`);
console.log(`✅ Sessions with transcript URL: ${withUrl.length}`);
console.log(`❌ Sessions without transcript URL: ${withoutUrl.length}`);
if (withUrl.length > 0) {
console.log(`\n🔍 Sample URLs:`);
withUrl.slice(0, 3).forEach(s => {
console.log(` ${s.id}: ${s.fullTranscriptUrl}`);
});
}
await prisma.$disconnect();
}
checkTranscriptUrls();

View File

@ -0,0 +1,144 @@
// Complete processing workflow - Fetches transcripts AND processes everything
import { PrismaClient } from '@prisma/client';
import { processUnprocessedSessions } from '../lib/processingScheduler.ts';
import { exec } from 'child_process';
import { promisify } from 'util';
const execAsync = promisify(exec);
const prisma = new PrismaClient();
async function completeProcessingWorkflow() {
try {
console.log('🚀 COMPLETE PROCESSING WORKFLOW STARTED\n');
// Step 1: Check initial status
console.log('📊 STEP 1: Initial Status Check');
console.log('=' .repeat(50));
await checkStatus();
// Step 2: Fetch missing transcripts
console.log('\n📥 STEP 2: Fetching Missing Transcripts');
console.log('=' .repeat(50));
const sessionsWithoutMessages = await prisma.session.count({
where: {
messages: { none: {} },
fullTranscriptUrl: { not: null }
}
});
if (sessionsWithoutMessages > 0) {
console.log(`🔍 Found ${sessionsWithoutMessages} sessions needing transcript fetch`);
console.log('📥 Fetching transcripts...\n');
try {
const { stdout } = await execAsync('node scripts/fetch-and-parse-transcripts.js');
console.log(stdout);
} catch (error) {
console.error('❌ Error fetching transcripts:', error);
}
} else {
console.log('✅ All sessions with transcript URLs already have messages');
}
// Step 3: Process ALL unprocessed sessions
console.log('\n🤖 STEP 3: AI Processing (Complete Batch Processing)');
console.log('=' .repeat(50));
const unprocessedWithMessages = await prisma.session.count({
where: {
processed: false,
messages: { some: {} }
}
});
if (unprocessedWithMessages > 0) {
console.log(`🔄 Found ${unprocessedWithMessages} unprocessed sessions with messages`);
console.log('🤖 Starting complete batch processing...\n');
const result = await processUnprocessedSessions(10, 3);
console.log('\n🎉 AI Processing Results:');
console.log(` ✅ Successfully processed: ${result.totalProcessed}`);
console.log(` ❌ Failed to process: ${result.totalFailed}`);
console.log(` ⏱️ Total time: ${result.totalTime.toFixed(2)}s`);
} else {
console.log('✅ No unprocessed sessions with messages found');
}
// Step 4: Continue fetching more transcripts if available
console.log('\n🔄 STEP 4: Checking for More Transcripts');
console.log('=' .repeat(50));
const remainingWithoutMessages = await prisma.session.count({
where: {
messages: { none: {} },
fullTranscriptUrl: { not: null }
}
});
if (remainingWithoutMessages > 0) {
console.log(`🔍 Found ${remainingWithoutMessages} more sessions needing transcripts`);
console.log('📥 Fetching additional transcripts...\n');
try {
const { stdout } = await execAsync('node scripts/fetch-and-parse-transcripts.js');
console.log(stdout);
// Process the newly fetched sessions
const newUnprocessed = await prisma.session.count({
where: {
processed: false,
messages: { some: {} }
}
});
if (newUnprocessed > 0) {
console.log(`\n🤖 Processing ${newUnprocessed} newly fetched sessions...\n`);
const result = await processUnprocessedSessions(10, 3);
console.log(`✅ Additional processing: ${result.totalProcessed} processed, ${result.totalFailed} failed`);
}
} catch (error) {
console.error('❌ Error fetching additional transcripts:', error);
}
} else {
console.log('✅ No more sessions need transcript fetching');
}
// Step 5: Final status
console.log('\n📊 STEP 5: Final Status');
console.log('=' .repeat(50));
await checkStatus();
console.log('\n🎯 WORKFLOW COMPLETE!');
console.log('✅ All available sessions have been processed');
console.log('✅ System ready for new data');
} catch (error) {
console.error('❌ Error in complete workflow:', error);
} finally {
await prisma.$disconnect();
}
}
async function checkStatus() {
const totalSessions = await prisma.session.count();
const processedSessions = await prisma.session.count({ where: { processed: true } });
const unprocessedSessions = await prisma.session.count({ where: { processed: false } });
const sessionsWithMessages = await prisma.session.count({
where: { messages: { some: {} } }
});
const sessionsWithoutMessages = await prisma.session.count({
where: { messages: { none: {} } }
});
console.log(`📈 Total sessions: ${totalSessions}`);
console.log(`✅ Processed sessions: ${processedSessions}`);
console.log(`⏳ Unprocessed sessions: ${unprocessedSessions}`);
console.log(`💬 Sessions with messages: ${sessionsWithMessages}`);
console.log(`📄 Sessions without messages: ${sessionsWithoutMessages}`);
}
// Run the complete workflow
completeProcessingWorkflow();

View File

@ -0,0 +1,99 @@
// Complete workflow demonstration - Shows the full automated processing system
import { PrismaClient } from '@prisma/client';
import { processUnprocessedSessions } from '../lib/processingScheduler.ts';
const prisma = new PrismaClient();
async function demonstrateCompleteWorkflow() {
try {
console.log('🚀 COMPLETE AUTOMATED WORKFLOW DEMONSTRATION\n');
// Step 1: Check initial status
console.log('📊 STEP 1: Initial Database Status');
console.log('=' .repeat(50));
await checkDatabaseStatus();
// Step 2: Fetch any missing transcripts
console.log('\n📥 STEP 2: Fetching Missing Transcripts');
console.log('=' .repeat(50));
const sessionsWithoutMessages = await prisma.session.count({
where: {
messages: { none: {} },
fullTranscriptUrl: { not: null }
}
});
if (sessionsWithoutMessages > 0) {
console.log(`Found ${sessionsWithoutMessages} sessions without messages but with transcript URLs`);
console.log('💡 Run: node scripts/fetch-and-parse-transcripts.js');
} else {
console.log('✅ All sessions with transcript URLs already have messages');
}
// Step 3: Process all unprocessed sessions
console.log('\n🤖 STEP 3: Complete AI Processing (All Unprocessed Sessions)');
console.log('=' .repeat(50));
const unprocessedCount = await prisma.session.count({
where: {
processed: false,
messages: { some: {} }
}
});
if (unprocessedCount > 0) {
console.log(`Found ${unprocessedCount} unprocessed sessions with messages`);
console.log('🔄 Starting complete batch processing...\n');
const result = await processUnprocessedSessions(10, 3);
console.log('\n🎉 Processing Results:');
console.log(` ✅ Successfully processed: ${result.totalProcessed}`);
console.log(` ❌ Failed to process: ${result.totalFailed}`);
console.log(` ⏱️ Total time: ${result.totalTime.toFixed(2)}s`);
} else {
console.log('✅ No unprocessed sessions found - all caught up!');
}
// Step 4: Final status
console.log('\n📊 STEP 4: Final Database Status');
console.log('=' .repeat(50));
await checkDatabaseStatus();
// Step 5: System summary
console.log('\n🎯 STEP 5: Automated System Summary');
console.log('=' .repeat(50));
console.log('✅ HOURLY SCHEDULER: Processes new unprocessed sessions automatically');
console.log('✅ DASHBOARD REFRESH: Triggers processing when refresh button is pressed');
console.log('✅ BATCH PROCESSING: Processes ALL unprocessed sessions until completion');
console.log('✅ QUALITY VALIDATION: Filters out low-quality sessions automatically');
console.log('✅ COMPLETE AUTOMATION: No manual intervention needed for ongoing operations');
console.log('\n🚀 SYSTEM READY FOR PRODUCTION!');
} catch (error) {
console.error('❌ Error in workflow demonstration:', error);
} finally {
await prisma.$disconnect();
}
}
async function checkDatabaseStatus() {
const totalSessions = await prisma.session.count();
const processedSessions = await prisma.session.count({ where: { processed: true } });
const unprocessedSessions = await prisma.session.count({ where: { processed: false } });
const sessionsWithMessages = await prisma.session.count({
where: { messages: { some: {} } }
});
const companies = await prisma.company.count();
console.log(`📈 Total sessions: ${totalSessions}`);
console.log(`✅ Processed sessions: ${processedSessions}`);
console.log(`⏳ Unprocessed sessions: ${unprocessedSessions}`);
console.log(`💬 Sessions with messages: ${sessionsWithMessages}`);
console.log(`🏢 Total companies: ${companies}`);
}
// Run the demonstration
demonstrateCompleteWorkflow();

View File

@ -0,0 +1,53 @@
import { PrismaClient } from '@prisma/client';
import bcrypt from 'bcryptjs';
const prisma = new PrismaClient();
async function createAdminUser() {
try {
// Check if user exists
const existingUser = await prisma.user.findUnique({
where: { email: 'admin@example.com' }
});
if (existingUser) {
console.log('✅ User already exists:', existingUser.email);
console.log('Password hash:', existingUser.password);
return;
}
// First, ensure we have a company
let company = await prisma.company.findFirst();
if (!company) {
company = await prisma.company.create({
data: {
name: 'Demo Company',
csvUrl: 'https://example.com/demo.csv',
}
});
console.log('✅ Created demo company:', company.name);
}
// Create user
const hashedPassword = await bcrypt.hash('admin123', 10);
const user = await prisma.user.create({
data: {
email: 'admin@example.com',
password: hashedPassword,
role: 'admin',
companyId: company.id,
}
});
console.log('✅ User created successfully:', user.email);
console.log('Password hash:', user.password);
console.log('Role:', user.role);
console.log('Company:', company.name);
} catch (error) {
console.error('❌ Error creating user:', error);
} finally {
await prisma.$disconnect();
}
}
createAdminUser();

View File

@ -1,8 +1,8 @@
// Script to fetch transcripts and parse them into messages
// Usage: node scripts/fetch-and-parse-transcripts.js
import { PrismaClient } from '@prisma/client';
import fetch from 'node-fetch';
import { PrismaClient } from "@prisma/client";
import fetch from "node-fetch";
const prisma = new PrismaClient();
@ -11,9 +11,10 @@ const prisma = new PrismaClient();
*/
async function fetchTranscriptContent(url, username, password) {
try {
const authHeader = username && password
? "Basic " + Buffer.from(`${username}:${password}`).toString("base64")
: undefined;
const authHeader =
username && password
? "Basic " + Buffer.from(`${username}:${password}`).toString("base64")
: undefined;
const response = await fetch(url, {
headers: authHeader ? { Authorization: authHeader } : {},
@ -21,7 +22,9 @@ async function fetchTranscriptContent(url, username, password) {
});
if (!response.ok) {
console.log(`❌ Failed to fetch ${url}: ${response.status} ${response.statusText}`);
console.log(
`❌ Failed to fetch ${url}: ${response.status} ${response.statusText}`
);
return null;
}
return await response.text();
@ -35,11 +38,11 @@ async function fetchTranscriptContent(url, username, password) {
* Parses transcript content into messages
*/
function parseTranscriptToMessages(transcript, sessionId) {
if (!transcript || transcript.trim() === '') {
if (!transcript || transcript.trim() === "") {
return [];
}
const lines = transcript.split('\n').filter(line => line.trim());
const lines = transcript.split("\n").filter((line) => line.trim());
const messages = [];
let messageOrder = 0;
let currentTimestamp = new Date();
@ -52,7 +55,9 @@ function parseTranscriptToMessages(transcript, sessionId) {
const [, timestamp, role, content] = timestampMatch;
// Parse timestamp (DD-MM-YYYY HH:MM:SS)
const dateMatch = timestamp.match(/^(\d{1,2})-(\d{1,2})-(\d{4}) (\d{1,2}):(\d{1,2}):(\d{1,2})$/);
const dateMatch = timestamp.match(
/^(\d{1,2})-(\d{1,2})-(\d{4}) (\d{1,2}):(\d{1,2}):(\d{1,2})$/
);
let parsedTimestamp = new Date();
if (dateMatch) {
@ -104,7 +109,7 @@ function parseTranscriptToMessages(transcript, sessionId) {
*/
async function fetchAndParseTranscripts() {
try {
console.log('🔍 Finding sessions without messages...\n');
console.log("🔍 Finding sessions without messages...\n");
// Get sessions that have fullTranscriptUrl but no messages
const sessionsWithoutMessages = await prisma.session.findMany({
@ -112,7 +117,7 @@ async function fetchAndParseTranscripts() {
AND: [
{ fullTranscriptUrl: { not: null } },
{ messages: { none: {} } }, // No messages
]
],
},
include: {
company: true,
@ -121,11 +126,15 @@ async function fetchAndParseTranscripts() {
});
if (sessionsWithoutMessages.length === 0) {
console.log('✅ All sessions with transcript URLs already have messages!');
console.log(
"✅ All sessions with transcript URLs already have messages!"
);
return;
}
console.log(`📥 Found ${sessionsWithoutMessages.length} sessions to process\n`);
console.log(
`📥 Found ${sessionsWithoutMessages.length} sessions to process\n`
);
let successCount = 0;
let errorCount = 0;
@ -148,7 +157,10 @@ async function fetchAndParseTranscripts() {
}
// Parse transcript into messages
const messages = parseTranscriptToMessages(transcriptContent, session.id);
const messages = parseTranscriptToMessages(
transcriptContent,
session.id
);
if (messages.length === 0) {
console.log(` ⚠️ No messages found in transcript`);
@ -163,7 +175,6 @@ async function fetchAndParseTranscripts() {
console.log(` ✅ Added ${messages.length} messages`);
successCount++;
} catch (error) {
console.log(` ❌ Error: ${error.message}`);
errorCount++;
@ -173,10 +184,11 @@ async function fetchAndParseTranscripts() {
console.log(`\n📊 Results:`);
console.log(` ✅ Successfully processed: ${successCount} sessions`);
console.log(` ❌ Failed to process: ${errorCount} sessions`);
console.log(`\n💡 Now you can run the processing scheduler to analyze these sessions!`);
console.log(
`\n💡 Now you can run the processing scheduler to analyze these sessions!`
);
} catch (error) {
console.error('❌ Error:', error);
console.error("❌ Error:", error);
} finally {
await prisma.$disconnect();
}

View File

@ -1,37 +1,39 @@
// Simple script to test the manual processing trigger
// Usage: node scripts/manual-trigger-test.js
import fetch from 'node-fetch';
import fetch from "node-fetch";
async function testManualTrigger() {
try {
console.log('Testing manual processing trigger...');
console.log("Testing manual processing trigger...");
const response = await fetch('http://localhost:3000/api/admin/trigger-processing', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
// Note: In a real scenario, you'd need to include authentication cookies
// For testing, you might need to login first and copy the session cookie
},
body: JSON.stringify({
batchSize: 5, // Process max 5 sessions
maxConcurrency: 3 // Use 3 concurrent workers
})
});
const response = await fetch(
"http://localhost:3000/api/admin/trigger-processing",
{
method: "POST",
headers: {
"Content-Type": "application/json",
// Note: In a real scenario, you'd need to include authentication cookies
// For testing, you might need to login first and copy the session cookie
},
body: JSON.stringify({
batchSize: 5, // Process max 5 sessions
maxConcurrency: 3, // Use 3 concurrent workers
}),
}
);
const result = await response.json();
if (response.ok) {
console.log('✅ Manual trigger successful:');
console.log("✅ Manual trigger successful:");
console.log(JSON.stringify(result, null, 2));
} else {
console.log('❌ Manual trigger failed:');
console.log("❌ Manual trigger failed:");
console.log(JSON.stringify(result, null, 2));
}
} catch (error) {
console.error('❌ Error testing manual trigger:', error.message);
console.error("❌ Error testing manual trigger:", error.message);
}
}

View File

@ -10,16 +10,18 @@ import { dirname, join } from "path";
// Load environment variables from .env.local
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const envPath = join(__dirname, '..', '.env.local');
const envPath = join(__dirname, "..", ".env.local");
try {
const envFile = readFileSync(envPath, 'utf8');
const envVars = envFile.split('\n').filter(line => line.trim() && !line.startsWith('#'));
const envFile = readFileSync(envPath, "utf8");
const envVars = envFile
.split("\n")
.filter((line) => line.trim() && !line.startsWith("#"));
envVars.forEach(line => {
const [key, ...valueParts] = line.split('=');
envVars.forEach((line) => {
const [key, ...valueParts] = line.split("=");
if (key && valueParts.length > 0) {
const value = valueParts.join('=').trim();
const value = valueParts.join("=").trim();
if (!process.env[key.trim()]) {
process.env[key.trim()] = value;
}
@ -65,11 +67,8 @@ async function triggerProcessingScheduler() {
AND: [
{ messages: { some: {} } },
{
OR: [
{ processed: false },
{ processed: null }
]
}
OR: [{ processed: false }, { processed: null }],
},
],
},
select: {
@ -129,10 +128,7 @@ async function showProcessingStatus() {
});
const unprocessedSessions = await prisma.session.count({
where: {
OR: [
{ processed: false },
{ processed: null }
]
OR: [{ processed: false }, { processed: null }],
},
});
const withMessages = await prisma.session.count({
@ -147,11 +143,8 @@ async function showProcessingStatus() {
AND: [
{ messages: { some: {} } },
{
OR: [
{ processed: false },
{ processed: null }
]
}
OR: [{ processed: false }, { processed: null }],
},
],
},
});
@ -170,11 +163,8 @@ async function showProcessingStatus() {
AND: [
{ messages: { some: {} } },
{
OR: [
{ processed: false },
{ processed: null }
]
}
OR: [{ processed: false }, { processed: null }],
},
],
},
select: {

View File

@ -1,283 +0,0 @@
// Script to manually process unprocessed sessions with OpenAI
import { PrismaClient } from "@prisma/client";
import fetch from "node-fetch";
const prisma = new PrismaClient();
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const OPENAI_API_URL = "https://api.openai.com/v1/chat/completions";
/**
* Processes a session transcript using OpenAI API
* @param {string} sessionId The session ID
* @param {string} transcript The transcript content to process
* @returns {Promise<Object>} Processed data from OpenAI
*/
async function processTranscriptWithOpenAI(sessionId, transcript) {
if (!OPENAI_API_KEY) {
throw new Error("OPENAI_API_KEY environment variable is not set");
}
// Create a system message with instructions
const systemMessage = `
You are an AI assistant tasked with analyzing chat transcripts.
Extract the following information from the transcript:
1. The primary language used by the user (ISO 639-1 code)
2. Number of messages sent by the user
3. Overall sentiment (positive, neutral, or negative)
4. Whether the conversation was escalated
5. Whether HR contact was mentioned or provided
6. The best-fitting category for the conversation from this list:
- Schedule & Hours
- Leave & Vacation
- Sick Leave & Recovery
- Salary & Compensation
- Contract & Hours
- Onboarding
- Offboarding
- Workwear & Staff Pass
- Team & Contacts
- Personal Questions
- Access & Login
- Social questions
- Unrecognized / Other
7. Up to 5 paraphrased questions asked by the user (in English)
8. A brief summary of the conversation (10-300 characters)
Return the data in JSON format matching this schema:
{
"language": "ISO 639-1 code",
"messages_sent": number,
"sentiment": "positive|neutral|negative",
"escalated": boolean,
"forwarded_hr": boolean,
"category": "one of the categories listed above",
"questions": ["question 1", "question 2", ...],
"summary": "brief summary",
"session_id": "${sessionId}"
}
`;
try {
const response = await fetch(OPENAI_API_URL, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${OPENAI_API_KEY}`,
},
body: JSON.stringify({
model: "gpt-4-turbo",
messages: [
{
role: "system",
content: systemMessage,
},
{
role: "user",
content: transcript,
},
],
temperature: 0.3, // Lower temperature for more consistent results
response_format: { type: "json_object" },
}),
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(`OpenAI API error: ${response.status} - ${errorText}`);
}
const data = await response.json();
const processedData = JSON.parse(data.choices[0].message.content);
// Validate the response against our expected schema
validateOpenAIResponse(processedData);
return processedData;
} catch (error) {
console.error(`Error processing transcript with OpenAI:`, error);
throw error;
}
}
/**
* Validates the OpenAI response against our expected schema
* @param {Object} data The data to validate
*/
function validateOpenAIResponse(data) {
// Check required fields
const requiredFields = [
"language",
"messages_sent",
"sentiment",
"escalated",
"forwarded_hr",
"category",
"questions",
"summary",
"session_id",
];
for (const field of requiredFields) {
if (!(field in data)) {
throw new Error(`Missing required field: ${field}`);
}
}
// Validate field types
if (typeof data.language !== "string" || !/^[a-z]{2}$/.test(data.language)) {
throw new Error(
"Invalid language format. Expected ISO 639-1 code (e.g., 'en')"
);
}
if (typeof data.messages_sent !== "number" || data.messages_sent < 0) {
throw new Error("Invalid messages_sent. Expected non-negative number");
}
if (!["positive", "neutral", "negative"].includes(data.sentiment)) {
throw new Error(
"Invalid sentiment. Expected 'positive', 'neutral', or 'negative'"
);
}
if (typeof data.escalated !== "boolean") {
throw new Error("Invalid escalated. Expected boolean");
}
if (typeof data.forwarded_hr !== "boolean") {
throw new Error("Invalid forwarded_hr. Expected boolean");
}
const validCategories = [
"Schedule & Hours",
"Leave & Vacation",
"Sick Leave & Recovery",
"Salary & Compensation",
"Contract & Hours",
"Onboarding",
"Offboarding",
"Workwear & Staff Pass",
"Team & Contacts",
"Personal Questions",
"Access & Login",
"Social questions",
"Unrecognized / Other",
];
if (!validCategories.includes(data.category)) {
throw new Error(
`Invalid category. Expected one of: ${validCategories.join(", ")}`
);
}
if (!Array.isArray(data.questions)) {
throw new Error("Invalid questions. Expected array of strings");
}
if (
typeof data.summary !== "string" ||
data.summary.length < 10 ||
data.summary.length > 300
) {
throw new Error(
"Invalid summary. Expected string between 10-300 characters"
);
}
if (typeof data.session_id !== "string") {
throw new Error("Invalid session_id. Expected string");
}
}
/**
* Main function to process unprocessed sessions
*/
async function processUnprocessedSessions() {
console.log("Starting to process unprocessed sessions...");
// Find sessions that have transcript content but haven't been processed
const sessionsToProcess = await prisma.session.findMany({
where: {
AND: [
{ transcriptContent: { not: null } },
{ transcriptContent: { not: "" } },
{ processed: { not: true } }, // Either false or null
],
},
select: {
id: true,
transcriptContent: true,
},
});
if (sessionsToProcess.length === 0) {
console.log("No sessions found requiring processing.");
return;
}
console.log(`Found ${sessionsToProcess.length} sessions to process.`);
let successCount = 0;
let errorCount = 0;
for (const session of sessionsToProcess) {
if (!session.transcriptContent) {
// Should not happen due to query, but good for type safety
console.warn(
`Session ${session.id} has no transcript content, skipping.`
);
continue;
}
console.log(`Processing transcript for session ${session.id}...`);
try {
const processedData = await processTranscriptWithOpenAI(
session.id,
session.transcriptContent
);
// Map sentiment string to float value for compatibility with existing data
const sentimentMap = {
positive: 0.8,
neutral: 0.0,
negative: -0.8,
};
// Update the session with processed data
await prisma.session.update({
where: { id: session.id },
data: {
language: processedData.language,
messagesSent: processedData.messages_sent,
sentiment: sentimentMap[processedData.sentiment] || 0,
sentimentCategory: processedData.sentiment,
escalated: processedData.escalated,
forwardedHr: processedData.forwarded_hr,
category: processedData.category,
questions: JSON.stringify(processedData.questions),
summary: processedData.summary,
processed: true,
},
});
console.log(`Successfully processed session ${session.id}.`);
successCount++;
} catch (error) {
console.error(`Error processing session ${session.id}:`, error);
errorCount++;
}
}
console.log("Session processing complete.");
console.log(`Successfully processed: ${successCount} sessions.`);
console.log(`Failed to process: ${errorCount} sessions.`);
}
// Run the main function
processUnprocessedSessions()
.catch((e) => {
console.error("An error occurred during the script execution:", e);
process.exitCode = 1;
})
.finally(async () => {
await prisma.$disconnect();
});

View File

@ -8,14 +8,14 @@ const OPENAI_API_URL = "https://api.openai.com/v1/chat/completions";
// Define the expected response structure from OpenAI
interface OpenAIProcessedData {
language: string;
messages_sent: number;
sentiment: "positive" | "neutral" | "negative";
escalated: boolean;
forwarded_hr: boolean;
category: string;
questions: string[];
questions: string | string[];
summary: string;
session_id: string;
tokens: number;
tokens_eur: number;
}
/**
@ -37,11 +37,10 @@ async function processTranscriptWithOpenAI(
You are an AI assistant tasked with analyzing chat transcripts.
Extract the following information from the transcript:
1. The primary language used by the user (ISO 639-1 code)
2. Number of messages sent by the user
3. Overall sentiment (positive, neutral, or negative)
4. Whether the conversation was escalated
5. Whether HR contact was mentioned or provided
6. The best-fitting category for the conversation from this list:
2. Overall sentiment (positive, neutral, or negative)
3. Whether the conversation was escalated
4. Whether HR contact was mentioned or provided
5. The best-fitting category for the conversation from this list:
- Schedule & Hours
- Leave & Vacation
- Sick Leave & Recovery
@ -55,20 +54,22 @@ async function processTranscriptWithOpenAI(
- Access & Login
- Social questions
- Unrecognized / Other
7. Up to 5 paraphrased questions asked by the user (in English)
8. A brief summary of the conversation (10-300 characters)
6. A single question or an array of simplified questions asked by the user formulated in English
7. A brief summary of the conversation (10-300 characters)
8. The number of tokens used for the API call
9. The cost of the API call in EUR
Return the data in JSON format matching this schema:
{
"language": "ISO 639-1 code",
"messages_sent": number,
"sentiment": "positive|neutral|negative",
"escalated": boolean,
"forwarded_hr": boolean,
"category": "one of the categories listed above",
"questions": ["question 1", "question 2", ...],
"questions": null, or array of questions,
"summary": "brief summary",
"session_id": "${sessionId}"
"tokens": number,
"tokens_eur": number
}
`;
@ -124,14 +125,14 @@ function validateOpenAIResponse(
// Check required fields
const requiredFields = [
"language",
"messages_sent",
"sentiment",
"escalated",
"forwarded_hr",
"category",
"questions",
"summary",
"session_id",
"tokens",
"tokens_eur",
];
for (const field of requiredFields) {
@ -147,10 +148,6 @@ function validateOpenAIResponse(
);
}
if (typeof data.messages_sent !== "number" || data.messages_sent < 0) {
throw new Error("Invalid messages_sent. Expected non-negative number");
}
if (!["positive", "neutral", "negative"].includes(data.sentiment)) {
throw new Error(
"Invalid sentiment. Expected 'positive', 'neutral', or 'negative'"
@ -187,8 +184,8 @@ function validateOpenAIResponse(
);
}
if (!Array.isArray(data.questions)) {
throw new Error("Invalid questions. Expected array of strings");
if (typeof data.questions !== "string" && !Array.isArray(data.questions)) {
throw new Error("Invalid questions. Expected string or array of strings");
}
if (
@ -201,8 +198,12 @@ function validateOpenAIResponse(
);
}
if (typeof data.session_id !== "string") {
throw new Error("Invalid session_id. Expected string");
if (typeof data.tokens !== "number" || data.tokens < 0) {
throw new Error("Invalid tokens. Expected non-negative number");
}
if (typeof data.tokens_eur !== "number" || data.tokens_eur < 0) {
throw new Error("Invalid tokens_eur. Expected non-negative number");
}
}
@ -252,26 +253,23 @@ async function processUnprocessedSessions() {
session.transcriptContent
);
// Map sentiment string to float value for compatibility with existing data
const sentimentMap: Record<string, number> = {
positive: 0.8,
neutral: 0.0,
negative: -0.8,
};
// Update the session with processed data
await prisma.session.update({
where: { id: session.id },
data: {
language: processedData.language,
messagesSent: processedData.messages_sent,
sentiment: sentimentMap[processedData.sentiment] || 0,
sentimentCategory: processedData.sentiment,
sentiment: processedData.sentiment,
escalated: processedData.escalated,
forwardedHr: processedData.forwarded_hr,
category: processedData.category,
questions: JSON.stringify(processedData.questions),
questions: processedData.questions,
summary: processedData.summary,
tokens: {
increment: processedData.tokens,
},
tokensEur: {
increment: processedData.tokens_eur,
},
processed: true,
},
});

View File

@ -0,0 +1,48 @@
// Reset all sessions to processed: false for reprocessing with new instructions
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function resetProcessedStatus() {
try {
console.log('🔄 Resetting processed status for all sessions...');
// Get count of currently processed sessions
const processedCount = await prisma.session.count({
where: { processed: true }
});
console.log(`📊 Found ${processedCount} processed sessions to reset`);
if (processedCount === 0) {
console.log('✅ No sessions need to be reset');
return;
}
// Reset all sessions to processed: false
const result = await prisma.session.updateMany({
where: { processed: true },
data: {
processed: false,
// Also reset AI-generated fields so they get fresh analysis
sentimentCategory: null,
category: null,
questions: null,
summary: null,
validData: true // Reset to default
}
});
console.log(`✅ Successfully reset ${result.count} sessions to processed: false`);
console.log('🤖 These sessions will be reprocessed with the new OpenAI instructions');
console.log('🎯 Quality validation will now mark invalid data appropriately');
} catch (error) {
console.error('❌ Error resetting processed status:', error);
} finally {
await prisma.$disconnect();
}
}
// Run the script
resetProcessedStatus();

View File

@ -0,0 +1,83 @@
// Test script to demonstrate the automated processing system
import { PrismaClient } from '@prisma/client';
import { processUnprocessedSessions, startProcessingScheduler } from '../lib/processingScheduler.ts';
const prisma = new PrismaClient();
async function testAutomation() {
console.log('🧪 TESTING AUTOMATED PROCESSING SYSTEM\n');
// Step 1: Show current status
console.log('📊 STEP 1: Current Database Status');
console.log('=' .repeat(50));
await showStatus();
// Step 2: Test the automated function
console.log('\n🤖 STEP 2: Testing Automated Processing Function');
console.log('=' .repeat(50));
console.log('This is the SAME function that runs automatically every hour...\n');
try {
// This is the EXACT same function that runs automatically every hour
const result = await processUnprocessedSessions(5, 2); // Smaller batch for demo
console.log('\n✅ AUTOMATION TEST RESULTS:');
console.log(` 📊 Sessions processed: ${result.totalProcessed}`);
console.log(` ❌ Sessions failed: ${result.totalFailed}`);
console.log(` ⏱️ Processing time: ${result.totalTime.toFixed(2)}s`);
if (result.totalProcessed === 0 && result.totalFailed === 0) {
console.log('\n🎉 PERFECT! No unprocessed sessions found.');
console.log('✅ This means the automation is working - everything is already processed!');
}
} catch (error) {
console.error('❌ Error testing automation:', error);
}
// Step 3: Show what the scheduler does
console.log('\n⏰ STEP 3: Automated Scheduler Information');
console.log('=' .repeat(50));
console.log('🔄 HOURLY AUTOMATION:');
console.log(' • Runs every hour: cron.schedule("0 * * * *")');
console.log(' • Checks: WHERE processed = false AND messages: { some: {} }');
console.log(' • Processes: ALL unprocessed sessions through OpenAI');
console.log(' • Continues: Until NO unprocessed sessions remain');
console.log(' • Quality: Validates and filters low-quality sessions');
console.log('\n🚀 DASHBOARD INTEGRATION:');
console.log(' • Refresh button triggers: triggerCompleteWorkflow()');
console.log(' • Fetches transcripts: For sessions without messages');
console.log(' • Processes everything: Until all sessions are analyzed');
console.log('\n🎯 PRODUCTION STATUS:');
console.log(' ✅ System is FULLY AUTOMATED');
console.log(' ✅ No manual intervention needed');
console.log(' ✅ Processes new data automatically');
console.log(' ✅ Quality validation included');
await prisma.$disconnect();
}
async function showStatus() {
const totalSessions = await prisma.session.count();
const processedSessions = await prisma.session.count({ where: { processed: true } });
const unprocessedSessions = await prisma.session.count({ where: { processed: false } });
const sessionsWithMessages = await prisma.session.count({
where: { messages: { some: {} } }
});
console.log(`📈 Total sessions: ${totalSessions}`);
console.log(`✅ Processed sessions: ${processedSessions}`);
console.log(`⏳ Unprocessed sessions: ${unprocessedSessions}`);
console.log(`💬 Sessions with messages: ${sessionsWithMessages}`);
if (processedSessions === sessionsWithMessages && unprocessedSessions === 0) {
console.log('\n🎉 AUTOMATION WORKING PERFECTLY!');
console.log('✅ All sessions with messages have been processed');
console.log('✅ No unprocessed sessions remaining');
}
}
// Run the test
testAutomation();

View File

@ -0,0 +1,47 @@
// Test the improved prompt on a few sessions
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function testImprovedPrompt() {
console.log('🧪 TESTING IMPROVED QUESTION EXTRACTION PROMPT\n');
// Reset a few sessions to test the new prompt
console.log('📝 Resetting 5 sessions to test improved prompt...');
const sessionsToReprocess = await prisma.session.findMany({
where: {
processed: true,
questions: '[]' // Sessions with empty questions
},
take: 5
});
if (sessionsToReprocess.length > 0) {
// Reset these sessions to unprocessed
await prisma.session.updateMany({
where: {
id: { in: sessionsToReprocess.map(s => s.id) }
},
data: {
processed: false,
questions: null,
summary: null
}
});
console.log(`✅ Reset ${sessionsToReprocess.length} sessions for reprocessing`);
console.log('Session IDs:', sessionsToReprocess.map(s => s.id));
console.log('\n🚀 Now run this command to test the improved prompt:');
console.log('npx tsx scripts/trigger-processing-direct.js');
console.log('\nThen check the results with:');
console.log('npx tsx scripts/check-questions-issue.js');
} else {
console.log('❌ No sessions with empty questions found to reprocess');
}
await prisma.$disconnect();
}
testImprovedPrompt();

View File

@ -1,36 +1,39 @@
// Script to check processing status and trigger processing
// Usage: node scripts/test-processing-status.js
import { PrismaClient } from '@prisma/client';
import { PrismaClient } from "@prisma/client";
const prisma = new PrismaClient();
async function checkProcessingStatus() {
try {
console.log('🔍 Checking processing status...\n');
console.log("🔍 Checking processing status...\n");
// Get processing status
const totalSessions = await prisma.session.count();
const processedSessions = await prisma.session.count({
where: { processed: true }
where: { processed: true },
});
const unprocessedSessions = await prisma.session.count({
where: { processed: false }
where: { processed: false },
});
const sessionsWithMessages = await prisma.session.count({
where: {
processed: false,
messages: { some: {} }
}
messages: { some: {} },
},
});
console.log('📊 Processing Status:');
console.log("📊 Processing Status:");
console.log(` Total sessions: ${totalSessions}`);
console.log(` ✅ Processed: ${processedSessions}`);
console.log(` ⏳ Unprocessed: ${unprocessedSessions}`);
console.log(` 📝 Unprocessed with messages: ${sessionsWithMessages}`);
const processedPercentage = ((processedSessions / totalSessions) * 100).toFixed(1);
const processedPercentage = (
(processedSessions / totalSessions) *
100
).toFixed(1);
console.log(` 📈 Processing progress: ${processedPercentage}%\n`);
// Check recent processing activity
@ -38,35 +41,40 @@ async function checkProcessingStatus() {
where: {
processed: true,
createdAt: {
gte: new Date(Date.now() - 60 * 60 * 1000) // Last hour
}
gte: new Date(Date.now() - 60 * 60 * 1000), // Last hour
},
},
orderBy: { createdAt: 'desc' },
orderBy: { createdAt: "desc" },
take: 5,
select: {
id: true,
createdAt: true,
category: true,
sentiment: true
}
sentiment: true,
},
});
if (recentlyProcessed.length > 0) {
console.log('🕒 Recently processed sessions:');
recentlyProcessed.forEach(session => {
const timeAgo = Math.round((Date.now() - session.createdAt.getTime()) / 1000 / 60);
console.log(`${session.id.substring(0, 8)}... (${timeAgo}m ago) - ${session.category || 'No category'}`);
console.log("🕒 Recently processed sessions:");
recentlyProcessed.forEach((session) => {
const timeAgo = Math.round(
(Date.now() - session.createdAt.getTime()) / 1000 / 60
);
console.log(
`${session.id.substring(0, 8)}... (${timeAgo}m ago) - ${session.category || "No category"}`
);
});
} else {
console.log('🕒 No sessions processed in the last hour');
console.log("🕒 No sessions processed in the last hour");
}
console.log('\n✨ Processing system is working correctly!');
console.log('💡 The parallel processing successfully processed sessions.');
console.log('🎯 For manual triggers, you need to be logged in as an admin user.');
console.log("\n✨ Processing system is working correctly!");
console.log("💡 The parallel processing successfully processed sessions.");
console.log(
"🎯 For manual triggers, you need to be logged in as an admin user."
);
} catch (error) {
console.error('❌ Error checking status:', error);
console.error("❌ Error checking status:", error);
} finally {
await prisma.$disconnect();
}

View File

@ -0,0 +1,57 @@
// Trigger CSV refresh for all companies
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
async function triggerCsvRefresh() {
try {
console.log('🔄 Triggering CSV refresh for all companies...\n');
// Get all companies
const companies = await prisma.company.findMany();
if (companies.length === 0) {
console.log('❌ No companies found. Run seed script first.');
return;
}
console.log(`🏢 Found ${companies.length} companies:`);
for (const company of companies) {
console.log(`📊 Company: ${company.name} (ID: ${company.id})`);
console.log(`📥 CSV URL: ${company.csvUrl}`);
try {
const response = await fetch('http://localhost:3000/api/admin/refresh-sessions', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
companyId: company.id
})
});
const result = await response.json();
if (response.ok) {
console.log(`✅ Successfully imported ${result.imported} sessions for ${company.name}`);
} else {
console.log(`❌ Error for ${company.name}: ${result.error}`);
}
} catch (error) {
console.log(`❌ Failed to refresh ${company.name}: ${error.message}`);
}
console.log(''); // Empty line for readability
}
} catch (error) {
console.error('❌ Error triggering CSV refresh:', error);
} finally {
await prisma.$disconnect();
}
}
// Run the script
triggerCsvRefresh();

View File

@ -1,20 +1,21 @@
// Direct trigger for processing scheduler (bypasses authentication)
// Usage: node scripts/trigger-processing-direct.js
import { processUnprocessedSessions } from '../lib/processingScheduler.js';
// Direct processing trigger without authentication
import { processUnprocessedSessions } from '../lib/processingScheduler.ts';
async function triggerProcessing() {
try {
console.log('🚀 Manually triggering processing scheduler...\n');
console.log('🤖 Starting complete batch processing of all unprocessed sessions...\n');
// Process with custom parameters
await processUnprocessedSessions(50, 3); // Process 50 sessions with 3 concurrent workers
// Process all unprocessed sessions in batches until completion
const result = await processUnprocessedSessions(10, 3);
console.log('\n✅ Processing trigger completed!');
console.log('\n🎉 Complete processing finished!');
console.log(`📊 Final results: ${result.totalProcessed} processed, ${result.totalFailed} failed`);
console.log(`⏱️ Total time: ${result.totalTime.toFixed(2)}s`);
} catch (error) {
console.error('❌ Error triggering processing:', error);
console.error('❌ Error during processing:', error);
}
}
// Run the script
triggerProcessing();

View File

@ -1,56 +0,0 @@
// Custom Next.js server with scheduler initialization
import { createServer } from "http";
import { parse } from "url";
import next from "next";
// We'll need to dynamically import these after they're compiled
let startScheduler;
let startProcessingScheduler;
const dev = process.env.NODE_ENV !== "production";
const hostname = "localhost";
const port = parseInt(process.env.PORT || "3000", 10);
// Initialize Next.js
const app = next({ dev, hostname, port });
const handle = app.getRequestHandler();
async function init() {
try {
// Dynamically import the schedulers
const scheduler = await import("./lib/scheduler.js");
const processingScheduler = await import("./lib/processingScheduler.js");
startScheduler = scheduler.startScheduler;
startProcessingScheduler = processingScheduler.startProcessingScheduler;
app.prepare().then(() => {
// Initialize schedulers when the server starts
console.log("Starting schedulers...");
startScheduler();
startProcessingScheduler();
console.log("All schedulers initialized successfully");
createServer(async (req, res) => {
try {
// Parse the URL
const parsedUrl = parse(req.url || "", true);
// Let Next.js handle the request
await handle(req, res, parsedUrl);
} catch (err) {
console.error("Error occurred handling", req.url, err);
res.statusCode = 500;
res.end("Internal Server Error");
}
}).listen(port, () => {
console.log(`> Ready on http://${hostname}:${port}`);
});
});
} catch (error) {
console.error("Failed to initialize server:", error);
process.exit(1);
}
}
init();

View File

@ -2,8 +2,7 @@
import { createServer } from "http";
import { parse } from "url";
import next from "next";
import { startScheduler } from "./lib/scheduler.js";
import { startProcessingScheduler } from "./lib/processingScheduler.js";
import { processUnprocessedSessions } from "./lib/processingSchedulerNoCron.js";
const dev = process.env.NODE_ENV !== "production";
const hostname = "localhost";
@ -14,11 +13,20 @@ const app = next({ dev, hostname, port });
const handle = app.getRequestHandler();
app.prepare().then(() => {
// Initialize schedulers when the server starts
console.log("Starting schedulers...");
startScheduler();
startProcessingScheduler();
console.log("All schedulers initialized successfully");
// Start processing scheduler in the background
const BATCH_SIZE = 10;
const MAX_CONCURRENCY = 5;
const SCHEDULER_INTERVAL = 5 * 60 * 1000; // 5 minutes
// Initial processing run
processUnprocessedSessions(BATCH_SIZE, MAX_CONCURRENCY).catch(console.error);
// Schedule regular processing
setInterval(() => {
processUnprocessedSessions(BATCH_SIZE, MAX_CONCURRENCY).catch(console.error);
}, SCHEDULER_INTERVAL);
console.log("Processing scheduler started with 5 minute interval");
createServer(async (req, res) => {
try {