Add AI-powered chatbot for media outlets
Integrate an AI chatbot feature allowing users to interact with media outlets, fetch chat history, and generate AI responses using OpenAI. Replit-Commit-Author: Agent Replit-Commit-Session-Id: 9a264234-c5d7-4dcc-adf3-a954b149b30d Replit-Commit-Checkpoint-Type: intermediate_checkpoint Replit-Commit-Screenshot-Url: https://storage.googleapis.com/screenshot-production-us-central1/3df548ff-50ae-432f-9be4-25d34eccc983/9a264234-c5d7-4dcc-adf3-a954b149b30d/d35d7YU
This commit is contained in:
kimjaehyeon0101
6
.replit
6
.replit
@ -38,6 +38,10 @@ externalPort = 3003
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localPort = 41425
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externalPort = 6000
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[[ports]]
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localPort = 41825
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externalPort = 6800
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[[ports]]
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localPort = 43349
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externalPort = 3000
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@ -50,7 +54,7 @@ externalPort = 4200
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PORT = "5000"
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[agent]
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integrations = ["javascript_object_storage:1.0.0", "javascript_log_in_with_replit:1.0.0", "javascript_database:1.0.0"]
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integrations = ["javascript_object_storage:1.0.0", "javascript_log_in_with_replit:1.0.0", "javascript_database:1.0.0", "javascript_openai_ai_integrations:1.0.0"]
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[workflows]
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runButton = "Project"
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134
client/src/components/ChatbotModal.tsx
Normal file
134
client/src/components/ChatbotModal.tsx
Normal file
@ -0,0 +1,134 @@
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import { useState } from "react";
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import { useQuery, useMutation } from "@tanstack/react-query";
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import { Dialog, DialogContent, DialogHeader, DialogTitle } from "@/components/ui/dialog";
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import { Button } from "@/components/ui/button";
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import { Textarea } from "@/components/ui/textarea";
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import { ScrollArea } from "@/components/ui/scroll-area";
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import { MessageCircle, Send } from "lucide-react";
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import { apiRequest, queryClient } from "@/lib/queryClient";
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import type { ChatMessage, MediaOutlet } from "@shared/schema";
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interface ChatbotModalProps {
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outlet: MediaOutlet;
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isOpen: boolean;
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onClose: () => void;
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}
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export default function ChatbotModal({ outlet, isOpen, onClose }: ChatbotModalProps) {
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const [message, setMessage] = useState("");
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const { data: messages = [], isLoading } = useQuery<ChatMessage[]>({
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queryKey: [`/api/media-outlets/${outlet.slug}/chat`],
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enabled: isOpen
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});
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const sendMessageMutation = useMutation({
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mutationFn: async (content: string) => {
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return await apiRequest("POST", `/api/media-outlets/${outlet.slug}/chat`, { content });
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},
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onSuccess: () => {
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queryClient.invalidateQueries({ queryKey: [`/api/media-outlets/${outlet.slug}/chat`] });
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setMessage("");
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}
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});
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const handleSend = () => {
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if (message.trim()) {
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sendMessageMutation.mutate(message.trim());
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}
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};
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const handleKeyPress = (e: React.KeyboardEvent) => {
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if (e.key === "Enter" && !e.shiftKey) {
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e.preventDefault();
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handleSend();
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}
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};
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const getChatbotName = () => {
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if (outlet.category === 'people') {
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return outlet.name;
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} else if (outlet.category === 'topics') {
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return `${outlet.name} 전문가`;
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} else {
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return `${outlet.name} 대표`;
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}
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};
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return (
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<Dialog open={isOpen} onOpenChange={onClose}>
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<DialogContent className="sm:max-w-[600px] h-[600px] flex flex-col" data-testid="chatbot-modal">
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<DialogHeader>
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<DialogTitle className="flex items-center gap-2" data-testid="chatbot-title">
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<MessageCircle className="h-5 w-5" />
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{getChatbotName()}와 대화하기
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</DialogTitle>
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</DialogHeader>
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<ScrollArea className="flex-1 pr-4" data-testid="chat-messages-container">
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<div className="space-y-4">
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{isLoading ? (
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<div className="text-center text-muted-foreground py-8">
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대화 내용을 불러오는 중...
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</div>
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) : messages.length === 0 ? (
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<div className="text-center text-muted-foreground py-8">
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<MessageCircle className="h-12 w-12 mx-auto mb-4 opacity-50" />
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<p>대화를 시작해보세요!</p>
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<p className="text-sm mt-2">
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{getChatbotName()}에게 궁금한 것을 물어보세요.
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</p>
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</div>
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) : (
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messages.map((msg) => (
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<div
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key={msg.id}
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className={`flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`}
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data-testid={`chat-message-${msg.id}`}
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>
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<div
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className={`max-w-[80%] rounded-lg px-4 py-2 ${
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msg.role === 'user'
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? 'bg-primary text-primary-foreground'
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: 'bg-muted'
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}`}
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>
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<p className="text-sm whitespace-pre-wrap break-words">{msg.content}</p>
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</div>
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</div>
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))
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)}
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{sendMessageMutation.isPending && (
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<div className="flex justify-start">
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<div className="max-w-[80%] rounded-lg px-4 py-2 bg-muted">
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<p className="text-sm text-muted-foreground">입력 중...</p>
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</div>
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</div>
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)}
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</div>
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</ScrollArea>
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<div className="flex gap-2 pt-4 border-t">
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<Textarea
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value={message}
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onChange={(e) => setMessage(e.target.value)}
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onKeyPress={handleKeyPress}
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placeholder="메시지를 입력하세요..."
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className="min-h-[60px] resize-none"
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disabled={sendMessageMutation.isPending}
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data-testid="chat-input"
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/>
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<Button
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onClick={handleSend}
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disabled={!message.trim() || sendMessageMutation.isPending}
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size="icon"
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className="h-[60px] w-[60px]"
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data-testid="button-send-message"
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>
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<Send className="h-4 w-4" />
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</Button>
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</div>
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</DialogContent>
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</Dialog>
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);
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}
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@ -6,7 +6,7 @@ import { Input } from "@/components/ui/input";
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import { Card, CardContent } from "@/components/ui/card";
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import { Dialog, DialogContent } from "@/components/ui/dialog";
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import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from "@/components/ui/tooltip";
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import { Search, Settings, User, LogOut, Grid, List, Info } from "lucide-react";
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import { Search, Settings, User, LogOut, Grid, List, Info, MessageCircle } from "lucide-react";
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import { useAuth } from "@/hooks/useAuth";
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import { useToast } from "@/hooks/use-toast";
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import { queryClient } from "@/lib/queryClient";
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@ -14,6 +14,7 @@ import ArticleCard from "@/components/ArticleCard";
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import Footer from "@/components/Footer";
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import LoginModal from "@/components/LoginModal";
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import SearchModal from "@/components/SearchModal";
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import ChatbotModal from "@/components/ChatbotModal";
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import type { MediaOutlet, Article } from "@shared/schema";
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export default function MediaOutlet() {
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@ -22,6 +23,7 @@ export default function MediaOutlet() {
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const [viewMode, setViewMode] = useState<"grid" | "list">("grid");
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const [isLoginModalOpen, setIsLoginModalOpen] = useState(false);
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const [isSearchModalOpen, setIsSearchModalOpen] = useState(false);
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const [isChatbotOpen, setIsChatbotOpen] = useState(false);
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const [enlargedImage, setEnlargedImage] = useState<string | null>(null);
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const { user, isAuthenticated } = useAuth();
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const { toast } = useToast();
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@ -271,6 +273,16 @@ export default function MediaOutlet() {
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Community
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</Button>
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<Button
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variant="ghost"
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size="sm"
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onClick={() => setIsChatbotOpen(true)}
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data-testid="button-chatbot"
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>
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<MessageCircle className="h-4 w-4 mr-1" />
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Chat
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</Button>
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<Button
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variant="ghost"
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size="sm"
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@ -415,6 +427,15 @@ export default function MediaOutlet() {
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onClose={() => setIsSearchModalOpen(false)}
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/>
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{/* Chatbot Modal */}
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{outlet && (
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<ChatbotModal
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outlet={outlet}
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isOpen={isChatbotOpen}
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onClose={() => setIsChatbotOpen(false)}
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/>
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)}
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{/* Image Enlargement Dialog */}
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<Dialog open={!!enlargedImage} onOpenChange={() => setEnlargedImage(null)}>
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<DialogContent className="max-w-3xl p-0 bg-transparent border-none">
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29
package-lock.json
generated
29
package-lock.json
generated
@ -58,6 +58,7 @@
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"memorystore": "^1.6.7",
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"nanoid": "^5.1.6",
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"next-themes": "^0.4.6",
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||||
"openai": "^6.3.0",
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"openid-client": "^6.8.1",
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"passport": "^0.7.0",
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"passport-local": "^1.0.0",
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@ -6345,6 +6346,27 @@
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"node": ">= 0.8"
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}
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},
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"node_modules/openai": {
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||||
"version": "6.3.0",
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||||
"resolved": "https://registry.npmjs.org/openai/-/openai-6.3.0.tgz",
|
||||
"integrity": "sha512-E6vOGtZvdcb4yXQ5jXvDlUG599OhIkb/GjBLZXS+qk0HF+PJReIldEc9hM8Ft81vn+N6dRdFRb7BZNK8bbvXrw==",
|
||||
"license": "Apache-2.0",
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||||
"bin": {
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||||
"openai": "bin/cli"
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||||
},
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"peerDependencies": {
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"ws": "^8.18.0",
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||||
"zod": "^3.25 || ^4.0"
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},
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"peerDependenciesMeta": {
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"ws": {
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"optional": true
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},
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"zod": {
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"optional": true
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}
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}
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},
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"node_modules/openid-client": {
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"version": "6.8.1",
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"resolved": "https://registry.npmjs.org/openid-client/-/openid-client-6.8.1.tgz",
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@ -8735,9 +8757,10 @@
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}
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||||
},
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"node_modules/zod": {
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||||
"version": "3.24.2",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-3.24.2.tgz",
|
||||
"integrity": "sha512-lY7CDW43ECgW9u1TcT3IoXHflywfVqDYze4waEz812jR/bZ8FHDsl7pFQoSZTz5N+2NqRXs8GBwnAwo3ZNxqhQ==",
|
||||
"version": "3.25.76",
|
||||
"resolved": "https://registry.npmjs.org/zod/-/zod-3.25.76.tgz",
|
||||
"integrity": "sha512-gzUt/qt81nXsFGKIFcC3YnfEAx5NkunCfnDlvuBSSFS02bcXu4Lmea0AFIUwbLWxWPx3d9p8S5QoaujKcNQxcQ==",
|
||||
"license": "MIT",
|
||||
"funding": {
|
||||
"url": "https://github.com/sponsors/colinhacks"
|
||||
}
|
||||
|
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@ -60,6 +60,7 @@
|
||||
"memorystore": "^1.6.7",
|
||||
"nanoid": "^5.1.6",
|
||||
"next-themes": "^0.4.6",
|
||||
"openai": "^6.3.0",
|
||||
"openid-client": "^6.8.1",
|
||||
"passport": "^0.7.0",
|
||||
"passport-local": "^1.0.0",
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|
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54
server/chatbot.ts
Normal file
54
server/chatbot.ts
Normal file
@ -0,0 +1,54 @@
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import OpenAI from "openai";
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// This is using Replit's AI Integrations service, which provides OpenAI-compatible API access without requiring your own OpenAI API key.
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// the newest OpenAI model is "gpt-5" which was released August 7, 2025. do not change this unless explicitly requested by the user
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const openai = new OpenAI({
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baseURL: process.env.AI_INTEGRATIONS_OPENAI_BASE_URL,
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apiKey: process.env.AI_INTEGRATIONS_OPENAI_API_KEY
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});
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interface ChatbotPersonality {
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systemPrompt: string;
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name: string;
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}
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export function getChatbotPersonality(outletName: string, outletCategory: string, outletDescription?: string): ChatbotPersonality {
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const categoryContext = {
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people: `You are an AI assistant representing ${outletName}. ${outletDescription ? outletDescription : 'You speak from their perspective, embodying their personality, values, and communication style.'} Engage with users as if you are ${outletName} themselves, sharing insights, opinions, and knowledge from their unique perspective.`,
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topics: `You are an AI expert on ${outletName}. ${outletDescription ? outletDescription : 'You provide in-depth knowledge and analysis about this topic.'} Answer questions with expertise and provide thoughtful commentary from various angles on this subject.`,
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companies: `You are an AI representative of ${outletName}. ${outletDescription ? outletDescription : 'You speak on behalf of the company, sharing information about its mission, products, and values.'} Engage professionally while representing the company's interests and perspective.`
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};
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const systemPrompt = categoryContext[outletCategory as keyof typeof categoryContext] ||
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`You are an AI assistant for ${outletName}. Provide helpful and informative responses.`;
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return {
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systemPrompt: systemPrompt + '\n\nKeep responses conversational, engaging, and concise (2-4 paragraphs maximum). Use Korean language for communication.',
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name: outletName
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};
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}
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|
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export async function generateChatbotResponse(
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messages: Array<{ role: 'user' | 'assistant' | 'system'; content: string }>,
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outletName: string,
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outletCategory: string,
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outletDescription?: string
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): Promise<string> {
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const personality = getChatbotPersonality(outletName, outletCategory, outletDescription);
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const chatMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
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{ role: 'system', content: personality.systemPrompt },
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...messages.map(msg => ({
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role: msg.role as 'user' | 'assistant',
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content: msg.content
|
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}))
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];
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|
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const completion = await openai.chat.completions.create({
|
||||
model: 'gpt-5',
|
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messages: chatMessages,
|
||||
max_completion_tokens: 8192,
|
||||
});
|
||||
|
||||
return completion.choices[0]?.message?.content || '죄송합니다. 응답을 생성할 수 없습니다.';
|
||||
}
|
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@ -2,7 +2,8 @@ import type { Express } from "express";
|
||||
import { createServer, type Server } from "http";
|
||||
import { storage } from "./storage";
|
||||
import { setupAuth, isAuthenticated } from "./simpleAuth";
|
||||
import { insertArticleSchema, insertMediaOutletRequestSchema, insertBidSchema, insertCommentSchema, insertPredictionBetSchema, insertCommunityPostSchema, insertCommunityReplySchema } from "@shared/schema";
|
||||
import { insertArticleSchema, insertMediaOutletRequestSchema, insertBidSchema, insertCommentSchema, insertPredictionBetSchema, insertCommunityPostSchema, insertCommunityReplySchema, insertChatMessageSchema } from "@shared/schema";
|
||||
import { generateChatbotResponse } from "./chatbot";
|
||||
|
||||
export async function registerRoutes(app: Express): Promise<Server> {
|
||||
// Auth middleware
|
||||
@ -582,6 +583,77 @@ export async function registerRoutes(app: Express): Promise<Server> {
|
||||
}
|
||||
});
|
||||
|
||||
// Chatbot routes
|
||||
app.get('/api/media-outlets/:slug/chat', isAuthenticated, async (req: any, res) => {
|
||||
try {
|
||||
const outlet = await storage.getMediaOutletBySlug(req.params.slug);
|
||||
if (!outlet) {
|
||||
return res.status(404).json({ message: "Media outlet not found" });
|
||||
}
|
||||
|
||||
const userId = req.user.claims?.sub || req.user.id;
|
||||
const messages = await storage.getChatMessages(outlet.id, userId);
|
||||
res.json(messages);
|
||||
} catch (error) {
|
||||
console.error("Error fetching chat messages:", error);
|
||||
res.status(500).json({ message: "Failed to fetch chat messages" });
|
||||
}
|
||||
});
|
||||
|
||||
app.post('/api/media-outlets/:slug/chat', isAuthenticated, async (req: any, res) => {
|
||||
try {
|
||||
const outlet = await storage.getMediaOutletBySlug(req.params.slug);
|
||||
if (!outlet) {
|
||||
return res.status(404).json({ message: "Media outlet not found" });
|
||||
}
|
||||
|
||||
const userId = req.user.claims?.sub || req.user.id;
|
||||
const { content } = req.body;
|
||||
|
||||
if (!content || typeof content !== 'string') {
|
||||
return res.status(400).json({ message: "Invalid message content" });
|
||||
}
|
||||
|
||||
// Save user message
|
||||
const userMessage = insertChatMessageSchema.parse({
|
||||
mediaOutletId: outlet.id,
|
||||
userId,
|
||||
role: 'user',
|
||||
content
|
||||
});
|
||||
await storage.createChatMessage(userMessage);
|
||||
|
||||
// Get chat history
|
||||
const chatHistory = await storage.getChatMessages(outlet.id, userId);
|
||||
const messages = chatHistory.map(msg => ({
|
||||
role: msg.role as 'user' | 'assistant',
|
||||
content: msg.content
|
||||
}));
|
||||
|
||||
// Generate AI response
|
||||
const aiResponse = await generateChatbotResponse(
|
||||
messages,
|
||||
outlet.name,
|
||||
outlet.category,
|
||||
outlet.description || undefined
|
||||
);
|
||||
|
||||
// Save assistant message
|
||||
const assistantMessage = insertChatMessageSchema.parse({
|
||||
mediaOutletId: outlet.id,
|
||||
userId,
|
||||
role: 'assistant',
|
||||
content: aiResponse
|
||||
});
|
||||
const savedAssistantMessage = await storage.createChatMessage(assistantMessage);
|
||||
|
||||
res.status(201).json(savedAssistantMessage);
|
||||
} catch (error) {
|
||||
console.error("Error processing chat message:", error);
|
||||
res.status(500).json({ message: "Failed to process chat message" });
|
||||
}
|
||||
});
|
||||
|
||||
const httpServer = createServer(app);
|
||||
return httpServer;
|
||||
}
|
||||
|
||||
@ -10,6 +10,7 @@ import {
|
||||
predictionBets,
|
||||
communityPosts,
|
||||
communityReplies,
|
||||
chatMessages,
|
||||
type User,
|
||||
type UpsertUser,
|
||||
type MediaOutlet,
|
||||
@ -32,6 +33,8 @@ import {
|
||||
type InsertCommunityPost,
|
||||
type CommunityReply,
|
||||
type InsertCommunityReply,
|
||||
type ChatMessage,
|
||||
type InsertChatMessage,
|
||||
} from "@shared/schema";
|
||||
import { db } from "./db";
|
||||
import { eq, desc, asc, and, ilike, sql } from "drizzle-orm";
|
||||
@ -97,6 +100,10 @@ export interface IStorage {
|
||||
getRepliesByPost(postId: string): Promise<CommunityReply[]>;
|
||||
createCommunityReply(reply: InsertCommunityReply): Promise<CommunityReply>;
|
||||
|
||||
// Chatbot operations
|
||||
getChatMessages(mediaOutletId: string, userId: string): Promise<ChatMessage[]>;
|
||||
createChatMessage(message: InsertChatMessage): Promise<ChatMessage>;
|
||||
|
||||
// Analytics operations
|
||||
getAnalytics(): Promise<{
|
||||
totalArticles: number;
|
||||
@ -473,6 +480,20 @@ export class DatabaseStorage implements IStorage {
|
||||
return newReply;
|
||||
}
|
||||
|
||||
// Chatbot operations
|
||||
async getChatMessages(mediaOutletId: string, userId: string): Promise<ChatMessage[]> {
|
||||
return await db
|
||||
.select()
|
||||
.from(chatMessages)
|
||||
.where(and(eq(chatMessages.mediaOutletId, mediaOutletId), eq(chatMessages.userId, userId)))
|
||||
.orderBy(asc(chatMessages.createdAt));
|
||||
}
|
||||
|
||||
async createChatMessage(message: InsertChatMessage): Promise<ChatMessage> {
|
||||
const [newMessage] = await db.insert(chatMessages).values(message).returning();
|
||||
return newMessage;
|
||||
}
|
||||
|
||||
// Analytics operations
|
||||
async getAnalytics(): Promise<{
|
||||
totalArticles: number;
|
||||
|
||||
@ -180,6 +180,16 @@ export const communityReplies = pgTable("community_replies", {
|
||||
updatedAt: timestamp("updated_at").defaultNow(),
|
||||
});
|
||||
|
||||
// Chatbot messages for media outlets
|
||||
export const chatMessages = pgTable("chat_messages", {
|
||||
id: varchar("id").primaryKey().default(sql`gen_random_uuid()`),
|
||||
mediaOutletId: varchar("media_outlet_id").notNull(),
|
||||
userId: varchar("user_id").notNull(),
|
||||
role: varchar("role").notNull(), // "user" or "assistant"
|
||||
content: text("content").notNull(),
|
||||
createdAt: timestamp("created_at").defaultNow(),
|
||||
});
|
||||
|
||||
// Insert schemas
|
||||
export const insertUserSchema = createInsertSchema(users).omit({
|
||||
id: true,
|
||||
@ -245,6 +255,11 @@ export const insertCommunityReplySchema = createInsertSchema(communityReplies).o
|
||||
updatedAt: true,
|
||||
});
|
||||
|
||||
export const insertChatMessageSchema = createInsertSchema(chatMessages).omit({
|
||||
id: true,
|
||||
createdAt: true,
|
||||
});
|
||||
|
||||
// Types
|
||||
export type UpsertUser = typeof users.$inferInsert;
|
||||
export type User = typeof users.$inferSelect;
|
||||
@ -268,3 +283,5 @@ export type InsertCommunityPost = z.infer<typeof insertCommunityPostSchema>;
|
||||
export type CommunityPost = typeof communityPosts.$inferSelect;
|
||||
export type InsertCommunityReply = z.infer<typeof insertCommunityReplySchema>;
|
||||
export type CommunityReply = typeof communityReplies.$inferSelect;
|
||||
export type InsertChatMessage = z.infer<typeof insertChatMessageSchema>;
|
||||
export type ChatMessage = typeof chatMessages.$inferSelect;
|
||||
|
||||
Reference in New Issue
Block a user