mirror of
https://github.com/kjanat/livedash-node.git
synced 2026-01-16 06:32:10 +01:00
Kaj Kowalski
93fbb44eec
Major code quality overhaul addressing 58% of all linting issues: • Type Safety Improvements: - Replace all any types with proper TypeScript interfaces - Fix Map component shadowing (renamed to CountryMap) - Add comprehensive custom error classes system - Enhance API route type safety • Accessibility Enhancements: - Add explicit button types to all interactive elements - Implement useId() hooks for form element accessibility - Add SVG title attributes for screen readers - Fix static element interactions with keyboard handlers • React Best Practices: - Resolve exhaustive dependencies warnings with useCallback - Extract nested component definitions to top level - Fix array index keys with proper unique identifiers - Improve component organization and prop typing • Code Organization: - Automatic import organization and type import optimization - Fix unused function parameters and variables - Enhanced error handling with structured error responses - Improve component reusability and maintainability Results: 248 → 104 total issues (58% reduction) - Fixed all critical type safety and security issues - Enhanced accessibility compliance significantly - Improved code maintainability and performance
146 lines
4.4 KiB
TypeScript
146 lines
4.4 KiB
TypeScript
// Main app layout with basic global style
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import "./globals.css";
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import type { ReactNode } from "react";
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import { Toaster } from "@/components/ui/sonner";
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import { Providers } from "./providers";
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export const metadata = {
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title: "LiveDash - AI-Powered Customer Conversation Analytics",
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description:
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"Transform customer conversations into actionable insights with advanced AI sentiment analysis, automated categorization, and real-time analytics. Turn every conversation into competitive intelligence.",
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keywords: [
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"customer analytics",
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"AI sentiment analysis",
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"conversation intelligence",
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"customer support analytics",
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"chat analytics",
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"customer insights",
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"conversation analytics",
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"customer experience analytics",
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"sentiment tracking",
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"AI customer intelligence",
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"automated categorization",
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"real-time analytics",
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"customer conversation dashboard",
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],
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authors: [{ name: "Notso AI" }],
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creator: "Notso AI",
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publisher: "Notso AI",
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formatDetection: {
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email: false,
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address: false,
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telephone: false,
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},
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metadataBase: new URL(
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process.env.NEXTAUTH_URL || "https://livedash.notso.ai"
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),
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alternates: {
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canonical: "/",
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},
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openGraph: {
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title: "LiveDash - AI-Powered Customer Conversation Analytics",
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description:
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"Transform customer conversations into actionable insights with advanced AI sentiment analysis, automated categorization, and real-time analytics. Turn every conversation into competitive intelligence.",
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type: "website",
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siteName: "LiveDash",
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url: "/",
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locale: "en_US",
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images: [
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{
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url: "/og-image.png",
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width: 1200,
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height: 630,
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alt: "LiveDash - AI-Powered Customer Conversation Analytics Platform",
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},
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],
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},
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twitter: {
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card: "summary_large_image",
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title: "LiveDash - AI-Powered Customer Conversation Analytics",
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description:
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"Transform customer conversations into actionable insights with advanced AI sentiment analysis, automated categorization, and real-time analytics.",
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creator: "@notsoai",
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site: "@notsoai",
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images: ["/og-image.png"],
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},
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robots: {
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index: true,
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follow: true,
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googleBot: {
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index: true,
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follow: true,
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"max-video-preview": -1,
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"max-image-preview": "large",
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"max-snippet": -1,
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},
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},
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icons: {
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icon: [
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{ url: "/favicon.ico", sizes: "32x32", type: "image/x-icon" },
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{ url: "/favicon.svg", type: "image/svg+xml" },
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],
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apple: "/icon-192.svg",
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},
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manifest: "/manifest.json",
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other: {
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"msapplication-TileColor": "#2563eb",
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"theme-color": "#ffffff",
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},
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};
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export default function RootLayout({ children }: { children: ReactNode }) {
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const jsonLd = {
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"@context": "https://schema.org",
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"@type": "SoftwareApplication",
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name: "LiveDash",
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description:
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"Transform customer conversations into actionable insights with advanced AI sentiment analysis, automated categorization, and real-time analytics.",
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url: process.env.NEXTAUTH_URL || "https://livedash.notso.ai",
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author: {
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"@type": "Organization",
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name: "Notso AI",
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},
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applicationCategory: "Business Analytics Software",
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operatingSystem: "Web Browser",
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offers: {
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"@type": "Offer",
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category: "SaaS",
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},
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aggregateRating: {
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"@type": "AggregateRating",
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ratingValue: "4.8",
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ratingCount: "150",
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},
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featureList: [
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"AI-powered sentiment analysis",
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"Automated conversation categorization",
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"Real-time analytics dashboard",
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"Multi-language support",
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"Custom AI model integration",
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"Enterprise-grade security",
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],
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};
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return (
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<html lang="en" suppressHydrationWarning>
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<head>
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<script
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type="application/ld+json"
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dangerouslySetInnerHTML={{ __html: JSON.stringify(jsonLd) }}
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/>
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</head>
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<body className="bg-background text-foreground min-h-screen font-sans antialiased">
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{/* Skip navigation link for keyboard users */}
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<a
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href="#main-content"
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className="sr-only focus:not-sr-only focus:absolute focus:top-4 focus:left-4 focus:z-50 focus:px-4 focus:py-2 focus:bg-primary focus:text-primary-foreground focus:rounded focus:outline-none focus:ring-2 focus:ring-ring"
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>
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Skip to main content
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</a>
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<Providers>{children}</Providers>
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<Toaster />
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</body>
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</html>
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);
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}
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