Phase 2 Complete: CopilotKit Integration - PlatformPersonaChat component with comprehensive testing and integration examples
This commit is contained in:
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frontend/src/components/shared/CopilotKit/IntegrationExample.tsx
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245
frontend/src/components/shared/CopilotKit/IntegrationExample.tsx
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/**
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* Integration Example Component
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* Shows how to integrate PlatformPersonaChat into existing editors
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* Demonstrates practical usage patterns for different platforms
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*/
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import React from 'react';
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import { PlatformPersonaProvider, PlatformPersonaChat } from '../PersonaContext';
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import { PlatformType } from '../../types/PlatformPersonaTypes';
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// Example: LinkedIn Writer Integration
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export const LinkedInWriterWithPersonaChat: React.FC = () => {
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return (
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<div className="linkedin-writer-container">
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{/* Existing LinkedIn Editor Content */}
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<div className="linkedin-editor-section p-4 border rounded-lg mb-4">
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<h3 className="text-lg font-semibold mb-3">LinkedIn Content Editor</h3>
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<textarea
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className="w-full p-3 border rounded-lg"
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rows={6}
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placeholder="Write your LinkedIn post here..."
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/>
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<div className="mt-3 flex gap-2">
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<button className="px-4 py-2 bg-blue-600 text-white rounded hover:bg-blue-700">
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Preview
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</button>
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<button className="px-4 py-2 bg-green-600 text-white rounded hover:bg-green-700">
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Schedule
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</button>
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</div>
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</div>
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{/* Persona-Aware Chat Integration */}
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<div className="persona-chat-section">
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<h3 className="text-lg font-semibold mb-3">AI Content Assistant</h3>
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<PlatformPersonaProvider platform="linkedin">
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<PlatformPersonaChat
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platform="linkedin"
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showWelcomeMessage={true}
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showSuggestedPrompts={true}
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className="border rounded-lg"
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/>
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</PlatformPersonaProvider>
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</div>
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</div>
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);
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};
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// Example: Facebook Writer Integration
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export const FacebookWriterWithPersonaChat: React.FC = () => {
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return (
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<div className="facebook-writer-container">
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{/* Existing Facebook Editor Content */}
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<div className="facebook-editor-section p-4 border rounded-lg mb-4">
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<h3 className="text-lg font-semibold mb-3">Facebook Content Editor</h3>
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<textarea
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className="w-full p-3 border rounded-lg"
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rows={4}
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placeholder="Write your Facebook post here..."
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/>
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<div className="mt-3 flex gap-2">
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<button className="px-4 py-2 bg-blue-600 text-white rounded hover:bg-blue-700">
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Preview
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</button>
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<button className="px-4 py-2 bg-green-600 text-white rounded hover:bg-green-700">
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Schedule
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</button>
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</div>
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</div>
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{/* Persona-Aware Chat Integration */}
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<div className="persona-chat-section">
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<h3 className="text-lg font-semibold mb-3">AI Content Assistant</h3>
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<PlatformPersonaProvider platform="facebook">
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<PlatformPersonaChat
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platform="facebook"
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showWelcomeMessage={true}
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showSuggestedPrompts={true}
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className="border rounded-lg"
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/>
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</PlatformPersonaProvider>
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</div>
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</div>
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);
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};
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// Example: Instagram Writer Integration
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export const InstagramWriterWithPersonaChat: React.FC = () => {
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return (
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<div className="instagram-writer-container">
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{/* Existing Instagram Editor Content */}
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<div className="instagram-editor-section p-4 border rounded-lg mb-4">
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<h3 className="text-lg font-semibold mb-3">Instagram Content Editor</h3>
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<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
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<div>
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<div className="border-2 border-dashed border-gray-300 rounded-lg p-8 text-center mb-3">
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<p className="text-gray-500">Upload Image/Video</p>
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</div>
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<textarea
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className="w-full p-3 border rounded-lg"
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rows={4}
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placeholder="Write your Instagram caption here..."
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/>
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</div>
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<div>
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<h4 className="font-medium mb-2">Hashtag Suggestions</h4>
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<div className="space-y-2">
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<div className="flex flex-wrap gap-1">
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<span className="px-2 py-1 bg-blue-100 text-blue-800 text-xs rounded">#content</span>
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<span className="px-2 py-1 bg-blue-100 text-blue-800 text-xs rounded">#strategy</span>
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<span className="px-2 py-1 bg-blue-100 text-blue-800 text-xs rounded">#growth</span>
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</div>
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</div>
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</div>
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</div>
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<div className="mt-3 flex gap-2">
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<button className="px-4 py-2 bg-blue-600 text-white rounded hover:bg-blue-700">
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Preview
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</button>
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<button className="px-4 py-2 bg-green-600 text-white rounded hover:bg-green-700">
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Schedule
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</button>
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</div>
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</div>
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{/* Persona-Aware Chat Integration */}
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<div className="persona-chat-section">
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<h3 className="text-lg font-semibold mb-3">AI Content Assistant</h3>
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<PlatformPersonaProvider platform="instagram">
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<PlatformPersonaChat
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platform="instagram"
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showWelcomeMessage={true}
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showSuggestedPrompts={true}
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className="border rounded-lg"
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/>
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</PlatformPersonaProvider>
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</div>
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</div>
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);
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};
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// Main integration example component
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export const IntegrationExample: React.FC = () => {
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const [selectedPlatform, setSelectedPlatform] = React.useState<PlatformType>('linkedin');
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const renderSelectedEditor = () => {
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switch (selectedPlatform) {
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case 'linkedin':
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return <LinkedInWriterWithPersonaChat />;
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case 'facebook':
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return <FacebookWriterWithPersonaChat />;
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case 'instagram':
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return <InstagramWriterWithPersonaChat />;
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default:
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return <LinkedInWriterWithPersonaChat />;
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}
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};
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return (
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<div className="max-w-6xl mx-auto p-6">
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<div className="mb-6">
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<h1 className="text-2xl font-bold text-gray-900 mb-2">
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Platform Persona Chat Integration Examples
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</h1>
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<p className="text-gray-600">
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See how to integrate persona-aware AI chat into existing content editors
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</p>
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</div>
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{/* Platform Tabs */}
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<div className="flex space-x-1 mb-6 bg-gray-100 p-1 rounded-lg">
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{(['linkedin', 'facebook', 'instagram'] as PlatformType[]).map((platform) => (
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<button
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key={platform}
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onClick={() => setSelectedPlatform(platform)}
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className={`px-4 py-2 rounded-md text-sm font-medium transition-colors ${
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selectedPlatform === platform
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? 'bg-white text-gray-900 shadow-sm'
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: 'text-gray-600 hover:text-gray-900'
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}`}
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>
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{platform.charAt(0).toUpperCase() + platform.slice(1)}
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</button>
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))}
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</div>
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{/* Selected Editor */}
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{renderSelectedEditor()}
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{/* Integration Benefits */}
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<div className="mt-8 p-6 bg-gradient-to-r from-blue-50 to-purple-50 border border-blue-200 rounded-lg">
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<h3 className="text-lg font-semibold text-gray-900 mb-4">
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Benefits of Persona-Aware Chat Integration
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</h3>
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<div className="grid grid-cols-1 md:grid-cols-2 gap-6">
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<div>
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<h4 className="font-medium text-gray-900 mb-2">🎯 Personalized Assistance</h4>
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<p className="text-sm text-gray-700">
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AI responses automatically match your writing style, vocabulary preferences, and brand voice
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</p>
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</div>
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<div>
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<h4 className="font-medium text-gray-900 mb-2">🚀 Platform Optimization</h4>
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<p className="text-sm text-gray-700">
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Get platform-specific advice for character limits, hashtag strategies, and engagement patterns
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</p>
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</div>
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<div>
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<h4 className="font-medium text-gray-900 mb-2">💡 Contextual Intelligence</h4>
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<p className="text-sm text-gray-700">
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AI understands your content goals, audience, and industry context for better suggestions
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</p>
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</div>
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<div>
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<h4 className="font-medium text-gray-900 mb-2">⚡ Seamless Workflow</h4>
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<p className="text-sm text-gray-700">
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Chat directly in your editor while maintaining focus on content creation
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</p>
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</div>
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</div>
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</div>
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{/* Implementation Notes */}
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<div className="mt-6 p-4 bg-gray-50 border border-gray-200 rounded-lg">
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<h4 className="font-medium text-gray-900 mb-2">Implementation Notes</h4>
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<div className="text-sm text-gray-700 space-y-2">
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<p>
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<strong>1. Wrap your editor with PlatformPersonaProvider:</strong> This provides persona context to all child components.
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</p>
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<p>
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<strong>2. Add PlatformPersonaChat component:</strong> Place it where you want the AI chat interface.
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</p>
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<p>
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<strong>3. Configure platform-specific settings:</strong> The chat automatically adapts to each platform's requirements.
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</p>
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<p>
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<strong>4. Customize appearance:</strong> Use className and other props to match your editor's design.
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</p>
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</div>
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</div>
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</div>
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);
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};
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export default IntegrationExample;
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@@ -0,0 +1,295 @@
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/**
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* Platform Persona Chat Component
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* CopilotKit integration for platform-specific persona-aware conversations
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* Provides intelligent, contextual assistance based on user's writing persona
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*/
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import React, { useCallback, useMemo } from 'react';
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import { CopilotChat, CopilotChatProps } from '@copilotkit/react-chat';
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import { usePlatformPersonaContext } from '../PersonaContext';
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import { PlatformType, WritingPersona, PlatformAdaptation } from '../../types/PlatformPersonaTypes';
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// Platform-specific chat configurations
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interface PlatformChatConfig {
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systemMessage: string;
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placeholder: string;
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welcomeMessage: string;
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suggestedPrompts: string[];
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}
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// Platform chat configurations
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const getPlatformChatConfig = (
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platform: PlatformType,
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corePersona: WritingPersona | null,
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platformPersona: PlatformAdaptation | null
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): PlatformChatConfig => {
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const baseConfig = {
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systemMessage: `You are an expert ${platform} content strategist and writer.`,
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placeholder: `Ask me about ${platform} content strategy...`,
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welcomeMessage: `Hello! I'm your ${platform} content assistant. How can I help you today?`,
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suggestedPrompts: [
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`Help me create a ${platform} post about...`,
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`What's the best time to post on ${platform}?`,
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`How can I improve my ${platform} engagement?`
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]
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};
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if (!corePersona || !platformPersona) {
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return baseConfig;
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}
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// Enhanced configuration with persona data
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return {
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systemMessage: `You are an expert ${platform} content strategist and writer, specializing in ${corePersona.persona_name} style content.`,
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placeholder: `Ask me about ${platform} content using your ${corePersona.persona_name} style...`,
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welcomeMessage: `Hello! I'm your ${platform} content assistant, trained on your "${corePersona.persona_name}" writing style. How can I help you create ${platform}-optimized content today?`,
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suggestedPrompts: [
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`Create a ${platform} post about [topic] using my ${corePersona.persona_name} style`,
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`How can I adapt my ${corePersona.persona_name} voice for ${platform}?`,
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`What ${platform} content strategy fits my ${corePersona.archetype} archetype?`,
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`Help me optimize my ${platform} posts for better engagement`
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]
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};
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};
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// Enhanced system message generator
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const generateEnhancedSystemMessage = (
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platform: PlatformType,
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corePersona: WritingPersona | null,
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platformPersona: PlatformAdaptation | null
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): string => {
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if (!corePersona || !platformPersona) {
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return `You are an expert ${platform} content strategist and writer. Provide helpful advice for creating engaging ${platform} content.`;
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}
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const linguisticFingerprint = corePersona.linguistic_fingerprint;
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const platformConstraints = platformPersona.content_format_rules;
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const engagementPatterns = platformPersona.engagement_patterns;
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return `
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You are an expert ${platform} content strategist and writer, specializing in ${corePersona.persona_name} style content.
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## CORE PERSONA CONTEXT
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- **Persona Name**: ${corePersona.persona_name}
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- **Archetype**: ${corePersona.archetype}
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- **Core Belief**: ${corePersona.core_belief}
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- **Confidence Score**: ${corePersona.confidence_score}%
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## LINGUISTIC FINGERPRINT
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- **Sentence Length**: ${linguisticFingerprint?.sentence_metrics?.average_sentence_length_words || 'Unknown'} words average
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- **Voice Ratio**: ${linguisticFingerprint?.sentence_metrics?.active_to_passive_ratio || 'Unknown'}
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- **Go-to Words**: ${linguisticFingerprint?.lexical_features?.go_to_words?.join(", ") || 'Unknown'}
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- **Avoid Words**: ${linguisticFingerprint?.lexical_features?.avoid_words?.join(", ") || 'Unknown'}
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- **Vocabulary Level**: ${linguisticFingerprint?.lexical_features?.vocabulary_level || 'Unknown'}
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## ${platform.toUpperCase()} PLATFORM OPTIMIZATION
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- **Platform**: ${platformPersona.platform_type}
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- **Character Limit**: ${platformConstraints?.character_limit || 'Unknown'}
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- **Optimal Length**: ${platformConstraints?.optimal_length || 'Unknown'}
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- **Hashtag Limit**: ${platformConstraints?.hashtag_limit || 'Unknown'}
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- **Posting Frequency**: ${engagementPatterns?.posting_frequency || 'Unknown'}
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## WRITING GUIDELINES
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1. **Always match the user's linguistic fingerprint** - use their preferred sentence length, vocabulary level, and writing style
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2. **Respect platform constraints** - stay within character limits and follow ${platform} best practices
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3. **Maintain persona consistency** - every piece of content should sound like it was written by ${corePersona.persona_name}
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4. **Optimize for engagement** - use ${platform}-specific strategies for better reach and interaction
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5. **Incorporate go-to words and phrases** naturally, while avoiding words the user dislikes
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## RESPONSE FORMAT
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- Provide specific, actionable advice
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- Include examples that match the user's writing style
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- Reference platform-specific constraints and opportunities
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- Suggest content ideas that align with their archetype and core beliefs
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Remember: You're not just giving generic ${platform} advice - you're helping ${corePersona.persona_name} create content that sounds authentically like them while being perfectly optimized for ${platform}.
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`.trim();
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};
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// Platform-specific action suggestions
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const getPlatformActions = (platform: PlatformType): string[] => {
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const actions: Record<PlatformType, string[]> = {
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linkedin: [
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"Create thought leadership post",
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"Optimize for professional networking",
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"Suggest industry hashtags",
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"Improve engagement strategy"
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],
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facebook: [
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"Create community-focused content",
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"Suggest trending topics",
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"Optimize for shares and comments",
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"Plan content calendar"
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],
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instagram: [
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"Create visual-first content ideas",
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"Suggest hashtag strategy",
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"Optimize for stories and reels",
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"Improve aesthetic appeal"
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],
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twitter: [
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"Create viral tweet ideas",
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"Suggest trending hashtags",
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"Optimize for retweets",
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"Plan thread strategy"
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],
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blog: [
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"Create SEO-optimized content",
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"Suggest headline strategies",
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"Optimize for readability",
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"Plan content series"
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],
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medium: [
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"Create publication strategy",
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"Suggest storytelling approaches",
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"Optimize for engagement",
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"Plan article series"
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],
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substack: [
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"Create newsletter strategy",
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"Suggest subscriber engagement",
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"Optimize for conversions",
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"Plan content themes"
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]
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};
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return actions[platform] || [];
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};
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// Main component interface
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interface PlatformPersonaChatProps {
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platform: PlatformType;
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className?: string;
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showWelcomeMessage?: boolean;
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showSuggestedPrompts?: boolean;
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customSystemMessage?: string;
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}
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export const PlatformPersonaChat: React.FC<PlatformPersonaChatProps> = ({
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platform,
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className = "",
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showWelcomeMessage = true,
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showSuggestedPrompts = true,
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customSystemMessage
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}) => {
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const { corePersona, platformPersona, loading, error } = usePlatformPersonaContext();
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// Generate platform-specific chat configuration
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const chatConfig = useMemo(() =>
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getPlatformChatConfig(platform, corePersona, platformPersona),
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[platform, corePersona, platformPersona]
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);
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// Generate enhanced system message
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const systemMessage = useMemo(() =>
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customSystemMessage || generateEnhancedSystemMessage(platform, corePersona, platformPersona),
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[customSystemMessage, platform, corePersona, platformPersona]
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);
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// Get platform-specific actions
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const platformActions = useMemo(() =>
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getPlatformActions(platform),
|
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[platform]
|
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);
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// Custom makeSystemMessage function for CopilotKit
|
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const makeSystemMessage = useCallback((contextString: string) => {
|
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return `${systemMessage}\n\nCurrent Context: ${contextString}`;
|
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}, [systemMessage]);
|
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|
||||
// Custom CopilotChat props
|
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const copilotChatProps: CopilotChatProps = {
|
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makeSystemMessage,
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placeholder: chatConfig.placeholder,
|
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className: `platform-persona-chat ${className}`,
|
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showWelcomeMessage,
|
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showSuggestedPrompts,
|
||||
suggestedPrompts: showSuggestedPrompts ? chatConfig.suggestedPrompts : undefined,
|
||||
welcomeMessage: showWelcomeMessage ? chatConfig.welcomeMessage : undefined
|
||||
};
|
||||
|
||||
// Loading state
|
||||
if (loading) {
|
||||
return (
|
||||
<div className="flex items-center justify-center p-6 border rounded-lg">
|
||||
<div className="text-center">
|
||||
<div className="animate-spin rounded-full h-8 w-8 border-b-2 border-blue-600 mx-auto mb-2"></div>
|
||||
<p className="text-sm text-gray-600">Loading {platform} persona chat...</p>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
// Error state
|
||||
if (error) {
|
||||
return (
|
||||
<div className="p-4 bg-red-50 border border-red-200 rounded-lg">
|
||||
<div className="flex items-center">
|
||||
<div className="flex-shrink-0">
|
||||
<svg className="h-5 w-5 text-red-400" viewBox="0 0 20 20" fill="currentColor">
|
||||
<path fillRule="evenodd" d="M10 18a8 8 0 100-16 8 8 0 000 16zM8.707 7.293a1 1 0 00-1.414 1.414L8.586 10l-1.293 1.293a1 1 0 101.414 1.414L10 11.414l1.293 1.293a1 1 0 001.414-1.414L11.414 10l1.293-1.293a1 1 0 00-1.414-1.414L10 8.586 8.707 7.293z" clipRule="evenodd" />
|
||||
</svg>
|
||||
</div>
|
||||
<div className="ml-3">
|
||||
<h3 className="text-sm font-medium text-red-800">Chat Unavailable</h3>
|
||||
<p className="text-sm text-red-700 mt-1">Unable to load persona data for {platform}.</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
||||
// Persona info display
|
||||
const PersonaInfo = () => (
|
||||
<div className="mb-4 p-3 bg-blue-50 border border-blue-200 rounded-lg">
|
||||
<div className="flex items-center justify-between">
|
||||
<div>
|
||||
<h4 className="text-sm font-medium text-blue-900">
|
||||
{corePersona ? `Chatting as ${corePersona.persona_name}` : `${platform} Content Assistant`}
|
||||
</h4>
|
||||
{corePersona && (
|
||||
<p className="text-xs text-blue-700 mt-1">
|
||||
{corePersona.archetype} • {corePersona.confidence_score}% confidence
|
||||
</p>
|
||||
)}
|
||||
</div>
|
||||
<div className="text-xs text-blue-600 bg-blue-100 px-2 py-1 rounded">
|
||||
{platform}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
|
||||
return (
|
||||
<div className={`platform-persona-chat-container ${className}`}>
|
||||
{/* Persona Information Header */}
|
||||
<PersonaInfo />
|
||||
|
||||
{/* Platform Actions Suggestions */}
|
||||
{platformActions.length > 0 && (
|
||||
<div className="mb-4 p-3 bg-gray-50 border border-gray-200 rounded-lg">
|
||||
<h5 className="text-sm font-medium text-gray-900 mb-2">Quick Actions for {platform}</h5>
|
||||
<div className="flex flex-wrap gap-2">
|
||||
{platformActions.map((action, index) => (
|
||||
<button
|
||||
key={index}
|
||||
className="text-xs bg-white border border-gray-300 rounded-full px-3 py-1 text-gray-700 hover:bg-gray-50 hover:border-gray-400 transition-colors"
|
||||
onClick={() => {
|
||||
// This could trigger a specific action or pre-fill the chat
|
||||
console.log(`Suggested action: ${action}`);
|
||||
}}
|
||||
>
|
||||
{action}
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
|
||||
{/* CopilotKit Chat Component */}
|
||||
<CopilotChat {...copilotChatProps} />
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
export default PlatformPersonaChat;
|
||||
@@ -0,0 +1,173 @@
|
||||
/**
|
||||
* Platform Persona Chat Test Component
|
||||
* Demonstrates and tests the PlatformPersonaChat component
|
||||
* Shows how to integrate persona-aware chat into different platforms
|
||||
*/
|
||||
|
||||
import React, { useState } from 'react';
|
||||
import { PlatformPersonaProvider } from '../PersonaContext';
|
||||
import { PlatformPersonaChat } from './index';
|
||||
import { PlatformType } from '../../types/PlatformPersonaTypes';
|
||||
|
||||
// Platform selection component
|
||||
const PlatformSelector: React.FC<{
|
||||
selectedPlatform: PlatformType;
|
||||
onPlatformChange: (platform: PlatformType) => void;
|
||||
}> = ({ selectedPlatform, onPlatformChange }) => {
|
||||
const platforms: { value: PlatformType; label: string; description: string }[] = [
|
||||
{ value: 'linkedin', label: 'LinkedIn', description: 'Professional networking & thought leadership' },
|
||||
{ value: 'facebook', label: 'Facebook', description: 'Community building & social engagement' },
|
||||
{ value: 'instagram', label: 'Instagram', description: 'Visual storytelling & aesthetic content' },
|
||||
{ value: 'twitter', label: 'Twitter', description: 'Concise messaging & viral potential' },
|
||||
{ value: 'blog', label: 'Blog', description: 'Long-form content & SEO optimization' },
|
||||
{ value: 'medium', label: 'Medium', description: 'Storytelling & publication strategy' },
|
||||
{ value: 'substack', label: 'Substack', description: 'Newsletter & subscription focus' }
|
||||
];
|
||||
|
||||
return (
|
||||
<div className="mb-6 p-4 bg-gray-50 border border-gray-200 rounded-lg">
|
||||
<h3 className="text-lg font-semibold mb-3">Select Platform to Test</h3>
|
||||
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-3">
|
||||
{platforms.map((platform) => (
|
||||
<button
|
||||
key={platform.value}
|
||||
onClick={() => onPlatformChange(platform.value)}
|
||||
className={`p-3 text-left rounded-lg border transition-all ${
|
||||
selectedPlatform === platform.value
|
||||
? 'border-blue-500 bg-blue-50 text-blue-900'
|
||||
: 'border-gray-300 bg-white hover:border-gray-400 hover:bg-gray-50'
|
||||
}`}
|
||||
>
|
||||
<div className="font-medium">{platform.label}</div>
|
||||
<div className="text-sm text-gray-600 mt-1">{platform.description}</div>
|
||||
</button>
|
||||
))}
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
// Chat configuration options
|
||||
const ChatConfigOptions: React.FC<{
|
||||
showWelcomeMessage: boolean;
|
||||
showSuggestedPrompts: boolean;
|
||||
onToggleWelcomeMessage: () => void;
|
||||
onToggleSuggestedPrompts: () => void;
|
||||
}> = ({ showWelcomeMessage, showSuggestedPrompts, onToggleWelcomeMessage, onToggleSuggestedPrompts }) => {
|
||||
return (
|
||||
<div className="mb-4 p-3 bg-yellow-50 border border-yellow-200 rounded-lg">
|
||||
<h4 className="text-sm font-medium text-yellow-900 mb-2">Chat Configuration</h4>
|
||||
<div className="flex flex-wrap gap-4">
|
||||
<label className="flex items-center">
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={showWelcomeMessage}
|
||||
onChange={onToggleWelcomeMessage}
|
||||
className="mr-2"
|
||||
/>
|
||||
<span className="text-sm text-yellow-800">Show Welcome Message</span>
|
||||
</label>
|
||||
<label className="flex items-center">
|
||||
<input
|
||||
type="checkbox"
|
||||
checked={showSuggestedPrompts}
|
||||
onChange={onToggleSuggestedPrompts}
|
||||
className="mr-2"
|
||||
/>
|
||||
<span className="text-sm text-yellow-800">Show Suggested Prompts</span>
|
||||
</label>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
// Main test component
|
||||
export const PlatformPersonaChatTest: React.FC = () => {
|
||||
const [selectedPlatform, setSelectedPlatform] = useState<PlatformType>('linkedin');
|
||||
const [showWelcomeMessage, setShowWelcomeMessage] = useState(true);
|
||||
const [showSuggestedPrompts, setShowSuggestedPrompts] = useState(true);
|
||||
|
||||
const toggleWelcomeMessage = () => setShowWelcomeMessage(!showWelcomeMessage);
|
||||
const toggleSuggestedPrompts = () => setShowSuggestedPrompts(!showSuggestedPrompts);
|
||||
|
||||
return (
|
||||
<div className="max-w-4xl mx-auto p-6">
|
||||
<div className="mb-6">
|
||||
<h1 className="text-2xl font-bold text-gray-900 mb-2">
|
||||
Platform Persona Chat Test
|
||||
</h1>
|
||||
<p className="text-gray-600">
|
||||
Test the persona-aware CopilotKit integration across different platforms
|
||||
</p>
|
||||
</div>
|
||||
|
||||
{/* Platform Selector */}
|
||||
<PlatformSelector
|
||||
selectedPlatform={selectedPlatform}
|
||||
onPlatformChange={setSelectedPlatform}
|
||||
/>
|
||||
|
||||
{/* Chat Configuration */}
|
||||
<ChatConfigOptions
|
||||
showWelcomeMessage={showWelcomeMessage}
|
||||
showSuggestedPrompts={showSuggestedPrompts}
|
||||
onToggleWelcomeMessage={toggleWelcomeMessage}
|
||||
onToggleSuggestedPrompts={toggleSuggestedPrompts}
|
||||
/>
|
||||
|
||||
{/* Persona Chat Component */}
|
||||
<div className="border rounded-lg overflow-hidden">
|
||||
<div className="bg-gray-100 px-4 py-2 border-b">
|
||||
<h3 className="font-medium text-gray-900">
|
||||
{selectedPlatform.charAt(0).toUpperCase() + selectedPlatform.slice(1)} Persona Chat
|
||||
</h3>
|
||||
<p className="text-sm text-gray-600">
|
||||
AI-powered content assistance with your personal writing style
|
||||
</p>
|
||||
</div>
|
||||
|
||||
<PlatformPersonaProvider platform={selectedPlatform}>
|
||||
<PlatformPersonaChat
|
||||
platform={selectedPlatform}
|
||||
showWelcomeMessage={showWelcomeMessage}
|
||||
showSuggestedPrompts={showSuggestedPrompts}
|
||||
className="p-4"
|
||||
/>
|
||||
</PlatformPersonaProvider>
|
||||
</div>
|
||||
|
||||
{/* Usage Instructions */}
|
||||
<div className="mt-6 p-4 bg-green-50 border border-green-200 rounded-lg">
|
||||
<h4 className="font-medium text-green-900 mb-2">How to Test</h4>
|
||||
<ul className="text-sm text-green-800 space-y-1">
|
||||
<li>• Select different platforms to see platform-specific chat configurations</li>
|
||||
<li>• Toggle welcome message and suggested prompts to test different chat modes</li>
|
||||
<li>• Ask questions about content strategy, writing style, or platform optimization</li>
|
||||
<li>• Notice how the AI adapts responses to your persona and platform constraints</li>
|
||||
<li>• Try the quick action buttons for platform-specific suggestions</li>
|
||||
</ul>
|
||||
</div>
|
||||
|
||||
{/* Technical Details */}
|
||||
<div className="mt-6 p-4 bg-blue-50 border border-blue-200 rounded-lg">
|
||||
<h4 className="font-medium text-blue-900 mb-2">Technical Implementation</h4>
|
||||
<div className="text-sm text-blue-800 space-y-2">
|
||||
<p>
|
||||
<strong>Context Injection:</strong> The chat automatically receives your writing persona,
|
||||
linguistic fingerprint, and platform-specific constraints through CopilotKit's context system.
|
||||
</p>
|
||||
<p>
|
||||
<strong>Dynamic System Messages:</strong> System messages are generated dynamically based on
|
||||
your persona data and selected platform, ensuring AI responses match your writing style.
|
||||
</p>
|
||||
<p>
|
||||
<strong>Platform Optimization:</strong> Each platform has specific character limits,
|
||||
engagement patterns, and best practices that are automatically incorporated into AI responses.
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
export default PlatformPersonaChatTest;
|
||||
11
frontend/src/components/shared/CopilotKit/index.ts
Normal file
11
frontend/src/components/shared/CopilotKit/index.ts
Normal file
@@ -0,0 +1,11 @@
|
||||
/**
|
||||
* CopilotKit Components Index
|
||||
* Central export point for all CopilotKit integration components
|
||||
*/
|
||||
|
||||
export { PlatformPersonaChat } from './PlatformPersonaChat';
|
||||
export { PlatformPersonaChatTest } from './PlatformPersonaChatTest';
|
||||
export { IntegrationExample } from './IntegrationExample';
|
||||
|
||||
// Re-export types for convenience
|
||||
export type { PlatformType } from '../../../types/PlatformPersonaTypes';
|
||||
Reference in New Issue
Block a user