我遇到了一个问题，在我的 Node.js 环境中找不到
pathModule not found: Can't resolve 'path'
https://nextjs.org/docs/messages/module-not-found
Import trace for requested module:
./node_modules/dotenv/config.js
./src/lib/db/index.ts
./src/app/api/chat/route.ts
./node_modules/next/dist/build/webpack/loaders/next-edge-app-route-loader/index.js?absolutePagePath=C%3A%5CUsers%5CDell%5COneDrive%5CDesktop%5C100xDevs%5Csummarize-my-pdf-ai%5Csrc%5Capp%5Capi%5Cchat%5Croute.ts&page=%2Fapi%2Fchat%2Froute&appDirLoader=bmV4dC1hcHAtbG9hZGVyP25hbWU9YXBwJTJGYXBpJTJGY2hhdCUyRnJvdXRlJnBhZ2U9JTJGYXBpJTJGY2hhdCUyRnJvdXRlJmFwcFBhdGhzPSZwYWdlUGF0aD1wcml2YXRlLW5leHQtYXBwLWRpciUyRmFwaSUyRmNoYXQlMkZyb3V0ZS50cyZhcHBEaXI9QyUzQSU1Q1VzZXJzJTVDRGVsbCU1Q09uZURyaXZlJTVDRGVza3RvcCU1QzEwMHhEZXZzJTVDc3VtbWFyaXplLW15LXBkZi1haSU1Q3NyYyU1Q2FwcCZwYWdlRXh0ZW5zaW9ucz10c3gmcGFnZUV4dGVuc2lvbnM9dHMmcGFnZUV4dGVuc2lvbnM9anN4JnBhZ2VFeHRlbnNpb25zPWpzJnJvb3REaXI9QyUzQSU1Q1VzZXJzJTVDRGVsbCU1Q09uZURyaXZlJTVDRGVza3RvcCU1QzEwMHhEZXZzJTVDc3VtbWFyaXplLW15LXBkZi1haSZpc0Rldj10cnVlJnRzY29uZmlnUGF0aD10c2NvbmZpZy5qc29uJmJhc2VQYXRoPSZhc3NldFByZWZpeD0mbmV4dENvbmZpZ091dHB1dD0mcHJlZmVycmVkUmVnaW9uPSZtaWRkbGV3YXJlQ29uZmlnPWUzMCUzRCE%3D&nextConfigOutput=&preferredRegion=&middlewareConfig=e30%3D!
route.tsimport { getContext } from "@/lib/context";
import { db } from "@/lib/db";
import { chats, messages as _messages } from "@/lib/db/schema";
import { openai } from "@ai-sdk/openai";
import { streamText } from "ai";
import { eq } from "drizzle-orm";
import { NextResponse } from "next/server";
import { Message } from "ai/react";
export const runtime = "edge";
export async function POST(req: Request) {
console.log("Called api");
try {
const { messages,chatId } = await req.json();
console.log("Messages:", messages);
console.log("Chat ID:", chatId);
const _chats = await db.select().from(chats).where(eq(chats.id, chatId));
// Log retrieved chats
console.log("_chats:", _chats);
if (_chats.length != 1) {
return NextResponse.json({ Error: " Chat not found" }, { status: 404 });
}
const fileKey = _chats[0].fileKey;
const lastMessage = messages[messages.length - 1];
// Log fileKey and lastMessage
console.log("File Key:", fileKey);
console.log("Last Message:", lastMessage);
const context = await getContext(lastMessage.content, fileKey);
console.log("Context:", context);
const prompt = {
role: "system",
content: `AI assistant is a brand new, powerful, human-like artificial intelligence.
The traits of AI include expert knowledge, helpfulness, cleverness, and articulateness.
AI is a well-behaved and well-mannered individual.
AI is always friendly, kind, and inspiring, and he is eager to provide vivid and thoughtful responses to the user.
AI has the sum of all knowledge in their brain, and is able to accurately answer nearly any question about any topic in conversation.
AI assistant is a big fan of Pinecone and Vercel.
START CONTEXT BLOCK
${context}
END OF CONTEXT BLOCK
AI assistant will take into account any CONTEXT BLOCK that is provided in a conversation.
If the context does not provide the answer to question, the AI assistant will say, "I'm sorry, but I don't know the answer to that question".
AI assistant will not apologize for previous responses, but instead will indicated new information was gained.
AI assistant will not invent anything that is not drawn directly from the context.
`,
};
const response = await streamText({
model: openai("gpt-4o-mini"),
messages: [
prompt,
...messages.filter((message: Message) => message.role === "user"),
],
});
return response.toDataStreamResponse();
} catch (error) {
console.log(error);
return NextResponse.json(
{ error: "Internal Server Error" },
{ status: 500 }
);
}
}
ChatComponent.tsx"use client";
import React from "react";
import { Input } from "./ui/input";
import { useChat } from "ai/react";
import { Button } from "./ui/button";
import { SendIcon } from "lucide-react";
import MessageList from "./MessageList";
type Props = { chatId: number };
const ChatComponent = ({ chatId }: Props) => {
console.log("Chat ID in ChatComponent:", chatId);
const { input, handleInputChange, handleSubmit, messages } = useChat({
api: "/api/chat",
body: {
chatId,
},
});
// React.useEffect(() => {
// const messageContainer = document.getElementById("message-container");
// if (messageContainer) {
// messageContainer.scrollTo({
// top: messageContainer.scrollHeight,
// behavior: "smooth",
// });
// }
// }, [messages]);
return (
<div
className="relative max-h-screen overflow-scroll"
id="message-container"
>
{/* Header */}
<div className="sticky top-0 inset-x-0 p-2 bg-white h-fit">
<h3 className="text-xl font-bold">Chat</h3>
</div>
{/* Message List */}
<MessageList messages={messages} />
<form
onSubmit={handleSubmit}
className="sticky bottom-0 px-2 py-4 inset-x-0 bg-white"
>
<div className="flex">
<Input
value={input}
onChange={handleInputChange}
placeholder="Ask any question..."
className="w-full"
/>
<Button className="bg-gradient-to-r from-sky-400 to-blue-500 ml-2">
<SendIcon className="h-4 w-4" />
</Button>
</div>
</form>
</div>
);
};
export default ChatComponent;
PS C:\Users\Dell\OneDrive\Desktop\100xDevs\summarize-my-pdf-ai> node -v
v18.17.1
PS C:\Users\Dell\OneDrive\Desktop\100xDevs\summarize-my-pdf-ai>
this is console GET /chat/9?_rsc=a12k2 200 in 227ms
GET /chat/8?_rsc=18zah 200 in 383ms
○ Compiling /api/chat ...
⨯ ./node_modules/dotenv/lib/main.js:2:1
Module not found: Can't resolve 'path'
https://nextjs.org/docs/messages/module-not-found
Import trace for requested module:
./node_modules/dotenv/config.js
./src/lib/db/index.ts
./src/app/api/chat/route.ts
./node_modules/next/dist/build/webpack/loaders/next-edge-app-route-loader/index.js?absolutePagePath=C%3A%5CUsers%5CDell%5COneDrive%5CDesktop%5C100xDevs%5Csummarize-my-pdf-ai%5Csrc%5Capp%5Capi%5Cchat%5Croute.ts&page=%2Fapi%2Fchat%2Froute&appDirLoader=bmV4dC1hcHAtbG9hZGVyP25hbWU9YXBwJTJGYXBpJT
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%3D&nextConfigOutput=&preferredRegion=&middlewareConfig=e30%3D!
使用以下简化代码时，我可以从聊天框获得响应：
import { openai } from "@ai-sdk/openai";
import { streamText } from "ai";
import { NextResponse } from "next/server";
export const runtime = "edge";
export async function POST(req: Request) {
try {
const { messages } = await req.json();
const response = await streamText({
model: openai("gpt-4o-mini"),
messages,
});
return response.toDataStreamResponse();
} catch (error) {
console.log(error);
return NextResponse.json(
{ error: "Internal Server Error" },
{ status: 500 }
);
}
}
这应该为问题提供清晰的上下文，并表明问题可能与配置或依赖项有关，而不是与获取聊天响应的核心功能有关。
route.tsChatComponent.tsx我尝试使用
streamTextaiopenaiimport { openai } from "@ai-sdk/openai";
import { streamText } from "ai";
import { NextResponse } from "next/server";
export const runtime = "edge";
export async function POST(req: Request) {
try {
const { messages } = await req.json();
const response = await streamText({
model: openai("gpt-4o-mini"),
messages,
});
return response.toDataStreamResponse();
} catch (error) {
console.log(error);
return NextResponse.json(
{ error: "Internal Server Error" },
{ status: 500 }
);
}
}
我希望此实现能够正确处理传入消息并从聊天框返回有效响应。
实际结果是什么？
尽管代码运行时没有错误并以简化的设置返回响应，但我在更复杂的实现中遇到了问题，其中包括数据库交互和上下文处理等附加逻辑。在这些情况下，我会收到
500 Internal Server Error我删除了这个并且它起作用了！！！！
export const runtime = "edge";