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import { useState } from "react";
import { RiSparkling2Fill } from "react-icons/ri";
import { GrSend } from "react-icons/gr";
import classNames from "classnames";
import { toast } from "react-toastify";
// Removed monaco editor import
import Login from "../login/login";
import { defaultHTML } from "../../utils/consts";
import SuccessSound from "./../../assets/success.mp3";
function AskAI({
html, // Current full HTML content (used for initial request and context)
setHtml, // Used for updates (both full and diff-based)
onScrollToBottom, // Used for full updates
isAiWorking,
setisAiWorking,
}: {
html: string;
setHtml: (html: string) => void;
onScrollToBottom: () => void;
isAiWorking: boolean;
setisAiWorking: React.Dispatch<React.SetStateAction<boolean>>;
// Removed editorRef prop
}) {
const [open, setOpen] = useState(false);
const [prompt, setPrompt] = useState("");
const [hasAsked, setHasAsked] = useState(false);
const [previousPrompt, setPreviousPrompt] = useState("");
const audio = new Audio(SuccessSound);
audio.volume = 0.5;
// Removed client-side diff parsing/applying logic
// --- Main AI Call Logic ---
const callAi = async () => {
if (isAiWorking || !prompt.trim()) return;
const originalHtml = html; // Store the HTML state at the start of the request
setisAiWorking(true);
let fullContentResponse = ""; // Used for full HTML mode
let accumulatedDiffResponse = ""; // Used for diff mode
let lastRenderTime = 0; // For throttling full HTML updates
try {
const request = await fetch("/api/ask-ai", {
method: "POST",
body: JSON.stringify({
prompt,
...(html === defaultHTML ? {} : { html }),
...(previousPrompt ? { previousPrompt } : {}),
}),
headers: {
"Content-Type": "application/json",
},
});
if (request && request.body) {
if (!request.ok) {
const res = await request.json();
if (res.openLogin) {
setOpen(true);
} else {
// don't show toast if it's a login error
toast.error(res.message);
}
setisAiWorking(false);
return;
}
const responseType = request.headers.get("X-Response-Type") || "full"; // Default to full if header missing
console.log(`[AI Response] Type: ${responseType}`);
const reader = request.body.getReader();
const decoder = new TextDecoder("utf-8");
// eslint-disable-next-line no-constant-condition
while (true) {
const { done, value } = await reader.read();
if (done) {
console.log("[AI Response] Stream finished.");
// --- Post-stream processing ---
if (responseType === 'diff') {
// Apply diffs server-side
try {
console.log("[Diff Apply] Sending original HTML and AI diff response to server...");
const applyRequest = await fetch("/api/apply-diffs", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
originalHtml: originalHtml, // Send the HTML from the start of the request
aiResponseContent: accumulatedDiffResponse,
}),
});
if (!applyRequest.ok) {
const errorData = await applyRequest.json();
throw new Error(errorData.message || `Server failed to apply diffs (status ${applyRequest.status})`);
}
const patchedHtml = await applyRequest.text();
console.log("[Diff Apply] Received patched HTML from server.");
setHtml(patchedHtml); // Update editor with the final result
toast.success("AI changes applied");
} catch (applyError: any) {
console.error("Error applying diffs server-side:", applyError);
toast.error(`Failed to apply AI changes: ${applyError.message}`);
// Optionally revert to originalHtml? Or leave the editor as is?
// setHtml(originalHtml); // Uncomment to revert on failure
}
} else {
// Final update for full HTML mode
const finalDoc = fullContentResponse.match(/<!DOCTYPE html>[\s\S]*<\/html>/)?.[0];
if (finalDoc) {
setHtml(finalDoc); // Ensure final complete HTML is set
} else if (fullContentResponse.trim()) {
// If we got content but it doesn't look like HTML, maybe it's an error message or explanation?
console.warn("[AI Response] Final response doesn't look like HTML:", fullContentResponse);
// Decide if we should show this to the user? Maybe a toast?
// For now, let's assume the throttled updates were sufficient or it wasn't HTML.
}
}
toast.success("AI processing complete");
setPrompt("");
setPreviousPrompt(prompt);
setisAiWorking(false);
setHasAsked(true);
audio.play();
break; // Exit the loop
}
const chunk = decoder.decode(value, { stream: true });
if (responseType === 'diff') {
// --- Diff Mode ---
accumulatedDiffResponse += chunk; // Just accumulate the raw response
} else {
// --- Full HTML Mode ---
fullContentResponse += chunk; // Accumulate for preview
// Use regex to find the start of the HTML doc
const newHtmlMatch = fullContentResponse.match(/<!DOCTYPE html>[\s\S]*/);
const newHtml = newHtmlMatch ? newHtmlMatch[0] : null;
if (newHtml) {
// Throttle the re-renders to avoid flashing/flicker
const now = Date.now();
if (now - lastRenderTime > 300) {
// Force-close the HTML tag for preview if needed
let partialDoc = newHtml;
if (!partialDoc.trim().endsWith("</html>")) {
partialDoc += "\n</html>";
}
setHtml(partialDoc); // Update the preview iframe content
lastRenderTime = now;
}
// Scroll editor down if content is long (heuristic)
if (newHtml.length > 200 && now - lastRenderTime < 50) { // Only scroll if recently rendered
onScrollToBottom();
}
}
}
} // end while loop
} else {
throw new Error("Response body is null");
}
// eslint-disable-next-line @typescript-eslint/no-explicit-any
} catch (error: any) {
setisAiWorking(false);
toast.error(error.message);
if (error.openLogin) {
setOpen(true);
}
}
};
return (
<div
className={`bg-gray-950 rounded-xl py-2 lg:py-2.5 pl-3.5 lg:pl-4 pr-2 lg:pr-2.5 absolute lg:sticky bottom-3 left-3 lg:bottom-4 lg:left-4 w-[calc(100%-1.5rem)] lg:w-[calc(100%-2rem)] z-10 group ${
isAiWorking ? "animate-pulse" : ""
}`}
>
<div className="w-full relative flex items-center justify-between">
<RiSparkling2Fill className="text-lg lg:text-xl text-gray-500 group-focus-within:text-pink-500" />
<input
type="text"
disabled={isAiWorking}
className="w-full bg-transparent max-lg:text-sm outline-none pl-3 text-white placeholder:text-gray-500 font-code"
placeholder={
hasAsked ? "What do you want to ask AI next?" : "Ask AI anything..."
}
value={prompt}
onChange={(e) => setPrompt(e.target.value)}
onKeyDown={(e) => {
if (e.key === "Enter") {
callAi();
}
}}
/>
<button
disabled={isAiWorking}
className="relative overflow-hidden cursor-pointer flex-none flex items-center justify-center rounded-full text-sm font-semibold size-8 text-center bg-pink-500 hover:bg-pink-400 text-white shadow-sm dark:shadow-highlight/20 disabled:bg-gray-300 disabled:text-gray-500 disabled:cursor-not-allowed disabled:hover:bg-gray-300"
onClick={callAi}
>
<GrSend className="-translate-x-[1px]" />
</button>
</div>
<div
className={classNames(
"h-screen w-screen bg-black/20 fixed left-0 top-0 z-10",
{
"opacity-0 pointer-events-none": !open,
}
)}
onClick={() => setOpen(false)}
></div>
<div
className={classNames(
"absolute top-0 -translate-y-[calc(100%+8px)] right-0 z-10 w-80 bg-white border border-gray-200 rounded-lg shadow-lg transition-all duration-75 overflow-hidden",
{
"opacity-0 pointer-events-none": !open,
}
)}
>
<Login html={html}>
<p className="text-gray-500 text-sm mb-3">
You reached the limit of free AI usage. Please login to continue.
</p>
</Login>
</div>
</div>
);
}
export default AskAI;
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