Merge branch 'new-ui' of https://github.com/Dhravya/supermemory into new-ui

This commit is contained in:
Yash 2024-04-09 06:21:58 +00:00
commit f4917ef8f6
6 changed files with 104 additions and 219 deletions

View file

@ -31,22 +31,25 @@ export async function POST(req: NextRequest) {
chatHistory: ChatHistory[]
};
console.log("CHathistory", chatHistory)
if (!query) {
return new Response(JSON.stringify({ message: "Invalid query" }), { status: 400 });
}
const resp = await fetch(`https://cf-ai-backend.dhravya.workers.dev/chat?q=${query}&user=${session.user.email ?? session.user.name}&sourcesOnly=${sourcesOnly}`, {
headers: {
"X-Custom-Auth-Key": env.BACKEND_SECURITY_KEY,
},
method: "POST",
body: JSON.stringify({
chatHistory
chatHistory: chatHistory.chatHistory ?? []
})
})
console.log(resp.status)
console.log(resp.statusText)
if (resp.status !== 200 || !resp.ok) {
const errorData = await resp.json();

View file

@ -7,9 +7,11 @@ import Image from 'next/image';
function ChatMessage({
message,
user,
sources,
}: {
message: string;
user: User | 'ai';
sources?: string[];
}) {
return (
<div className="flex flex-col gap-4">

View file

@ -7,10 +7,10 @@ import { MemoryDrawer } from "./MemoryDrawer";
import useViewport from "@/hooks/useViewport";
import { motion } from "framer-motion";
import { cn } from "@/lib/utils";
import SearchResults from "./SearchResults";
import { ChatHistory } from "../../types/memory";
import { ChatMessage } from "./ChatMessage";
import { useSession } from "next-auth/react";
import { Card, CardContent } from "./ui/card";
function supportsDVH() {
try {
@ -21,8 +21,6 @@ function supportsDVH() {
}
export default function Main({ sidebarOpen }: { sidebarOpen: boolean }) {
return <Chat sidebarOpen={sidebarOpen} />;
const [hide, setHide] = useState(false);
const [value, setValue] = useState("");
const { width } = useViewport();
@ -37,7 +35,7 @@ export default function Main({ sidebarOpen }: { sidebarOpen: boolean }) {
// TEMPORARY solution: Basically this is to just keep track of the sources used for each chat message
// Not a great solution
const [chatTextSourceDict, setChatTextSourceDict] = useState<
Record<string, string>
Record<string, string[]>
>({});
// helper function to append a new msg
@ -107,7 +105,36 @@ export default function Main({ sidebarOpen }: { sidebarOpen: boolean }) {
remainingData = part;
} else if (parsedPart && parsedPart.response) {
// If the part is parsable and has the "response" field, update the AI response state
setAIResponse((prev) => prev + parsedPart.response);
// setAIResponse((prev) => prev + parsedPart.response);
// appendToChatHistory('model', parsedPart.response);
// Append to chat history in this way:
// If the last message was from the model, append to that message
// Otherwise, Start a new message from the model and append to that
if (
chatHistory.length > 0 &&
chatHistory[chatHistory.length - 1].role === "model"
) {
setChatHistory((prev: any) => {
const lastMessage = prev[prev.length - 1];
const newParts = [
...lastMessage.parts,
{ text: parsedPart.response },
];
return [
...prev.slice(0, prev.length - 1),
{ ...lastMessage, parts: newParts },
];
});
} else {
setChatHistory((prev) => [
...prev,
{
role: "model",
parts: [{ text: parsedPart.response }],
},
]);
}
}
} catch (error) {
// If parsing fails and it's not the last part, it's a malformed JSON
@ -139,17 +166,35 @@ export default function Main({ sidebarOpen }: { sidebarOpen: boolean }) {
e.preventDefault();
setIsAiLoading(true);
console.log(value);
appendToChatHistory("user", value);
const sourcesResponse = await fetch(
`/api/query?sourcesOnly=true&q=${value}`,
`/api/chat?sourcesOnly=true&q=${value}`,
{
method: "POST",
body: JSON.stringify({
chatHistory,
}),
},
);
const sourcesInJson = (await sourcesResponse.json()) as {
ids: string[];
};
setSearchResults(sourcesInJson.ids);
setSearchResults((prev) =>
Array.from(new Set([...prev, ...sourcesInJson.ids])),
);
const response = await fetch(`/api/query?q=${value}`);
// TODO: PASS THE `SPACE` TO THE API
const response = await fetch(`/api/chat?q=${value}`, {
method: "POST",
body: JSON.stringify({
chatHistory,
}),
});
if (response.status !== 200) {
setIsAiLoading(false);
@ -164,8 +209,10 @@ export default function Main({ sidebarOpen }: { sidebarOpen: boolean }) {
// @ts-ignore
reader.read().then(function processText({ done, value }) {
if (done) {
// setSearchResults(JSON.parse(result.replace('data: ', '')));
// setIsAiLoading(false);
setIsAiLoading(false);
setToBeParsed("");
setValue("");
return;
}
@ -177,7 +224,7 @@ export default function Main({ sidebarOpen }: { sidebarOpen: boolean }) {
};
return (
<main
<motion.main
data-sidebar-open={sidebarOpen}
ref={main}
className={cn(
@ -189,43 +236,55 @@ export default function Main({ sidebarOpen }: { sidebarOpen: boolean }) {
{chatHistory.map((chat, index) => (
<ChatMessage
key={index}
message={chat.parts[0].text}
message={chat.parts.map((part) => part.text).join("")}
user={chat.role === "model" ? "ai" : session?.user!}
/>
))}
{searchResults.length > 0 && (
<div className="mt-4">
<h1>Related memories</h1>
<div className="grid gap-6">
{searchResults.map((value, index) => (
<Card key={index}>
<CardContent className="space-y-2">{value}</CardContent>
</Card>
))}
</div>
</div>
)}
</div>
<h1 className="text-rgray-11 mt-auto w-full text-center text-3xl md:mt-0">
Ask your Second brain
</h1>
<Textarea2
ref={textArea}
className="mt-auto h-max max-h-[30em] min-h-[3em] resize-y flex-row items-start justify-center overflow-auto py-5 md:mt-0 md:h-[20vh] md:resize-none md:flex-col md:items-center md:justify-center md:p-2 md:pb-2 md:pt-2"
textAreaProps={{
placeholder: "Ask your SuperMemory...",
className:
"h-auto overflow-auto md:h-full md:resize-none text-lg py-0 px-2 md:py-0 md:p-5 resize-y text-rgray-11 w-full min-h-[1em]",
value,
autoFocus: true,
onChange: (e) => setValue(e.target.value),
}}
<form
className="overflow-none mt-auto h-max min-h-[3em] w-full resize-y flex-row items-start justify-center py-5 md:mt-0 md:h-[20vh] md:resize-none md:flex-col md:items-center md:justify-center md:p-2 md:pb-2 md:pt-2"
onSubmit={async (e) => await getSearchResults(e)}
>
<div className="text-rgray-11/70 flex h-full w-fit items-center justify-center pl-0 md:w-full md:p-2">
<FilterCombobox className="hidden md:flex" />
<button
type="submit"
disabled={value.trim().length < 1}
className="text-rgray-11/70 bg-rgray-3 focus-visible:ring-rgray-8 hover:bg-rgray-4 mt-auto flex items-center justify-center rounded-full p-2 ring-2 ring-transparent focus-visible:outline-none disabled:cursor-not-allowed disabled:opacity-50 md:ml-auto md:mt-0"
>
<ArrowRight className="h-5 w-5" />
</button>
</div>
</Textarea2>
{/* {searchResults && (
<SearchResults aiResponse={aiResponse} sources={searchResults} />
)} */}
<Textarea2
ref={textArea}
textAreaProps={{
placeholder: "Ask your SuperMemory...",
className:
"h-auto overflow-auto md:h-full md:resize-none text-lg py-0 px-2 pt-2 md:py-0 md:p-5 resize-y text-rgray-11 w-full min-h-[1em]",
value,
autoFocus: true,
onChange: (e) => setValue(e.target.value),
}}
>
<div className="text-rgray-11/70 flex h-full w-fit items-center justify-center pl-0 md:w-full md:p-2">
<FilterCombobox className="hidden md:flex" />
<button
type="submit"
disabled={value.trim().length < 1}
className="text-rgray-11/70 bg-rgray-3 focus-visible:ring-rgray-8 hover:bg-rgray-4 mt-auto flex items-center justify-center rounded-full p-2 ring-2 ring-transparent focus-visible:outline-none disabled:cursor-not-allowed disabled:opacity-50 md:ml-auto md:mt-0"
>
<ArrowRight className="h-5 w-5" />
</button>
</div>
</Textarea2>
</form>
{width <= 768 && <MemoryDrawer hide={hide} />}
</main>
</motion.main>
);
}

View file

@ -1,139 +0,0 @@
'use client';
import { Label } from './ui/label';
import React, { useEffect, useState } from 'react';
import { Input } from './ui/input';
import { Button } from './ui/button';
import SearchResults from './SearchResults';
function QueryAI() {
const [searchResults, setSearchResults] = useState<string[]>([]);
const [isAiLoading, setIsAiLoading] = useState(false);
const [aiResponse, setAIResponse] = useState('');
const [input, setInput] = useState('');
const [toBeParsed, setToBeParsed] = useState('');
const handleStreamData = (newChunk: string) => {
// Append the new chunk to the existing data to be parsed
setToBeParsed((prev) => prev + newChunk);
};
useEffect(() => {
// Define a function to try parsing the accumulated data
const tryParseAccumulatedData = () => {
// Attempt to parse the "toBeParsed" state as JSON
try {
// Split the accumulated data by the known delimiter "\n\n"
const parts = toBeParsed.split('\n\n');
let remainingData = '';
// Process each part to extract JSON objects
parts.forEach((part, index) => {
try {
const parsedPart = JSON.parse(part.replace('data: ', '')); // Try to parse the part as JSON
// If the part is the last one and couldn't be parsed, keep it to accumulate more data
if (index === parts.length - 1 && !parsedPart) {
remainingData = part;
} else if (parsedPart && parsedPart.response) {
// If the part is parsable and has the "response" field, update the AI response state
setAIResponse((prev) => prev + parsedPart.response);
}
} catch (error) {
// If parsing fails and it's not the last part, it's a malformed JSON
if (index !== parts.length - 1) {
console.error('Malformed JSON part: ', part);
} else {
// If it's the last part, it may be incomplete, so keep it
remainingData = part;
}
}
});
// Update the toBeParsed state to only contain the unparsed remainder
if (remainingData !== toBeParsed) {
setToBeParsed(remainingData);
}
} catch (error) {
console.error('Error parsing accumulated data: ', error);
}
};
// Call the parsing function if there's data to be parsed
if (toBeParsed) {
tryParseAccumulatedData();
}
}, [toBeParsed]);
const getSearchResults = async (e: React.FormEvent<HTMLFormElement>) => {
e.preventDefault();
setIsAiLoading(true);
const sourcesResponse = await fetch(
`/api/query?sourcesOnly=true&q=${input}`,
);
const sourcesInJson = (await sourcesResponse.json()) as {
ids: string[];
};
setSearchResults(sourcesInJson.ids);
const response = await fetch(`/api/query?q=${input}`);
if (response.status !== 200) {
setIsAiLoading(false);
return;
}
if (response.body) {
let reader = response.body.getReader();
let decoder = new TextDecoder('utf-8');
let result = '';
// @ts-ignore
reader.read().then(function processText({ done, value }) {
if (done) {
// setSearchResults(JSON.parse(result.replace('data: ', '')));
// setIsAiLoading(false);
return;
}
handleStreamData(decoder.decode(value));
return reader.read().then(processText);
});
}
};
return (
<div className="w-full max-w-2xl mx-auto">
<form onSubmit={async (e) => await getSearchResults(e)} className="mt-8">
<Label htmlFor="searchInput">Ask your SuperMemory</Label>
<div className="flex flex-col md:flex-row md:w-full md:items-center space-y-2 md:space-y-0 md:space-x-2">
<Input
value={input}
onChange={(e) => setInput(e.target.value)}
placeholder="Search using AI... ✨"
id="searchInput"
/>
<Button
disabled={isAiLoading}
className="max-w-min md:w-full"
type="submit"
variant="default"
>
Ask AI
</Button>
</div>
</form>
{searchResults && (
<SearchResults aiResponse={aiResponse} sources={searchResults} />
)}
</div>
);
}
export default QueryAI;

View file

@ -1,38 +0,0 @@
'use client'
import React from 'react';
import { Card, CardContent } from './ui/card';
import Markdown from 'react-markdown';
import remarkGfm from 'remark-gfm'
function SearchResults({
aiResponse,
sources,
}: {
aiResponse: string;
sources: string[];
}) {
return (
<div
style={{
backgroundImage: `linear-gradient(to right, #E5D9F2, #CDC1FF)`,
}}
className="w-full max-w-2xl mx-auto px-4 py-6 space-y-6 border mt-4 rounded-xl"
>
<div className="text-start">
<div className="text-xl text-black">
<Markdown remarkPlugins={[remarkGfm]}>{aiResponse.replace('</s>', '')}</Markdown>
</div>
</div>
<div className="grid gap-6">
{sources.map((value, index) => (
<Card key={index}>
<CardContent className="space-y-2">{value}</CardContent>
</Card>
))}
</div>
</div>
);
}
export default SearchResults;

View file

@ -31,8 +31,6 @@ export const MemoryProvider: React.FC<
[spaces],
);
console.log(spaces);
return (
<MemoryContext.Provider value={{ spaces, addSpace, deleteSpace }}>
{children}