277 lines
9.3 KiB
TypeScript
277 lines
9.3 KiB
TypeScript
"use client";
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import React, { useState, useRef, useCallback } from "react";
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import { createPortal } from "react-dom";
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import { X, Loader2, Crosshair } from "lucide-react";
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import { Button } from "@/components/ui/button";
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import { useCanvasStore, type PickedObject } from "@/store/canvas";
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import { toast } from "sonner";
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import { cn } from "@/lib/utils";
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/**
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* 在图片上绘制标记点，返回带标记的图片 base64
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* AI 通过看到这个红色标记来识别用户点击的位置
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*/
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async function drawMarkerOnImage(
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imageUrl: string,
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clickX: number,
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clickY: number
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): Promise<string> {
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return new Promise((resolve, reject) => {
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const img = new Image();
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img.crossOrigin = 'anonymous';
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img.onload = () => {
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// 创建 canvas
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const canvas = document.createElement('canvas');
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const ctx = canvas.getContext('2d');
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if (!ctx) {
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reject(new Error('无法创建 canvas'));
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return;
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}
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// 压缩图片尺寸（最大 800px），加快 AI 分析速度
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const maxSize = 800;
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let width = img.width;
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let height = img.height;
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if (width > maxSize || height > maxSize) {
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if (width > height) {
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height = (height / width) * maxSize;
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width = maxSize;
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} else {
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width = (width / height) * maxSize;
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height = maxSize;
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}
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}
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canvas.width = width;
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canvas.height = height;
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// 绘制图片
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ctx.drawImage(img, 0, 0, width, height);
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// 计算标记位置
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const markerX = clickX * width;
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const markerY = clickY * height;
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const markerRadius = Math.max(12, Math.min(width, height) * 0.025); // 标记大小
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// 绘制红色标记圆圈（带白色边框，更醒目）
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ctx.beginPath();
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ctx.arc(markerX, markerY, markerRadius + 3, 0, Math.PI * 2);
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ctx.fillStyle = 'white';
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ctx.fill();
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ctx.beginPath();
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ctx.arc(markerX, markerY, markerRadius, 0, Math.PI * 2);
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ctx.fillStyle = '#FF0000';
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ctx.fill();
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// 绘制十字线（帮助 AI 定位）
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ctx.strokeStyle = '#FF0000';
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ctx.lineWidth = 2;
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// 水平线
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ctx.beginPath();
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ctx.moveTo(markerX - markerRadius * 2, markerY);
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ctx.lineTo(markerX - markerRadius - 2, markerY);
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ctx.stroke();
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ctx.beginPath();
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ctx.moveTo(markerX + markerRadius + 2, markerY);
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ctx.lineTo(markerX + markerRadius * 2, markerY);
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ctx.stroke();
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// 垂直线
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ctx.beginPath();
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ctx.moveTo(markerX, markerY - markerRadius * 2);
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ctx.lineTo(markerX, markerY - markerRadius - 2);
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ctx.stroke();
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ctx.beginPath();
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ctx.moveTo(markerX, markerY + markerRadius + 2);
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ctx.lineTo(markerX, markerY + markerRadius * 2);
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ctx.stroke();
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// 转为 base64
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const markedImageBase64 = canvas.toDataURL('image/jpeg', 0.85);
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resolve(markedImageBase64);
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};
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img.onerror = () => {
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reject(new Error('图片加载失败'));
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};
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img.src = imageUrl;
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});
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}
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export function ObjectPickerOverlay() {
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const isPickerMode = useCanvasStore((state) => state.isPickerMode);
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const pickerTargetNodeId = useCanvasStore((state) => state.pickerTargetNodeId);
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const isPickerLoading = useCanvasStore((state) => state.isPickerLoading);
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const setPickerMode = useCanvasStore((state) => state.setPickerMode);
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const setPickerLoading = useCanvasStore((state) => state.setPickerLoading);
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const addPendingPickedObject = useCanvasStore((state) => state.addPendingPickedObject);
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const getNode = useCanvasStore((state) => state.getNode);
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const [clickPosition, setClickPosition] = useState<{ x: number; y: number } | null>(null);
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const overlayRef = useRef<HTMLDivElement>(null);
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// 获取目标节点
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const targetNode = pickerTargetNodeId ? getNode(pickerTargetNodeId) : null;
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const imageUrl = targetNode?.type === 'image' ? (targetNode.data as any)?.src as string | undefined : undefined;
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// 处理图片点击 - 识别成功后直接添加到对话框
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const handleImageClick = useCallback(async (e: React.MouseEvent<HTMLImageElement>) => {
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if (isPickerLoading || !imageUrl || !pickerTargetNodeId) return;
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const img = e.currentTarget;
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const rect = img.getBoundingClientRect();
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// 计算相对坐标 (0-1)
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const clickX = (e.clientX - rect.left) / rect.width;
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const clickY = (e.clientY - rect.top) / rect.height;
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// 显示点击位置
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setClickPosition({ x: clickX, y: clickY });
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setPickerLoading(true);
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try {
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// 在图片上绘制红色标记点，让 AI 能看到用户点击的位置
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const markedImageBase64 = await drawMarkerOnImage(imageUrl, clickX, clickY);
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// 发送带标记的图片给 AI
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const response = await fetch('/api/pick-object', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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imageData: markedImageBase64, // 带红色标记的图片
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clickX,
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clickY,
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}),
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});
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if (!response.ok) {
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throw new Error('识别失败');
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}
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const result = await response.json();
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if (result.success && result.object) {
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// 构建拾取结果（保存原始图片 URL，不是带标记的）
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const picked: PickedObject = {
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imageUrl, // 原始图片
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imageNodeId: pickerTargetNodeId,
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clickX,
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clickY,
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objectName: result.object.name,
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objectPosition: result.object.position,
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confidence: result.object.confidence,
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boundingBox: result.object.boundingBox,
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};
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// 直接添加到对话框，不询问确认
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addPendingPickedObject(picked);
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toast.success(`已添加: ${result.object.name}`);
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// 关闭拾取模式
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setPickerMode(false);
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setClickPosition(null);
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} else {
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toast.error(result.error || '未能识别物品');
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setClickPosition(null);
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}
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} catch (error) {
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console.error('物品拾取失败:', error);
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toast.error('识别失败，请重试');
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setClickPosition(null);
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} finally {
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setPickerLoading(false);
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}
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}, [imageUrl, isPickerLoading, pickerTargetNodeId, setPickerLoading, addPendingPickedObject, setPickerMode]);
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// 关闭拾取模式
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const handleClose = useCallback(() => {
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setPickerMode(false);
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setClickPosition(null);
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}, [setPickerMode]);
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if (!isPickerMode || !imageUrl) return null;
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return createPortal(
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<div
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ref={overlayRef}
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className="fixed inset-0 z-[9998] bg-black/60 flex items-center justify-center"
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onClick={(e) => {
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// 点击背景关闭
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if (e.target === overlayRef.current) {
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handleClose();
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}
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}}
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>
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{/* 顶部提示栏 */}
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<div className="absolute top-4 left-1/2 -translate-x-1/2 flex items-center gap-3 bg-white rounded-full px-4 py-2 shadow-lg">
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<Crosshair className="h-5 w-5 text-orange-500" />
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<span className="text-sm font-medium">
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{isPickerLoading ? '正在识别...' : '点击图片中的物品进行拾取'}
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</span>
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<Button
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variant="ghost"
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size="icon"
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className="h-7 w-7 rounded-full"
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onClick={handleClose}
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>
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<X className="h-4 w-4" />
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</Button>
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</div>
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{/* 图片容器 */}
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<div className="relative max-w-[80vw] max-h-[70vh]">
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{/* 图片 - 原始图片，无任何标记 */}
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<img
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src={imageUrl}
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alt="拾取目标"
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className={cn(
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"max-w-full max-h-[70vh] object-contain rounded-lg border-4 transition-all",
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isPickerLoading ? "border-orange-400 opacity-80" : "border-orange-500",
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!isPickerLoading && "cursor-crosshair"
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)}
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onClick={!isPickerLoading ? handleImageClick : undefined}
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draggable={false}
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/>
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{/* 点击位置标记（脉冲动画）- 仅在前端显示，不影响发送给 AI 的图片 */}
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{clickPosition && (
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<div
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className="absolute pointer-events-none"
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style={{
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left: `${clickPosition.x * 100}%`,
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top: `${clickPosition.y * 100}%`,
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transform: 'translate(-50%, -50%)',
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}}
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>
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{/* 脉冲圆点 */}
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<div className={cn(
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"relative w-8 h-8 rounded-full border-2 border-orange-500 bg-orange-500/30",
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isPickerLoading && "animate-pulse"
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)}>
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<div className="absolute inset-0 rounded-full bg-orange-500 animate-ping opacity-30" />
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<div className="absolute inset-2 rounded-full bg-orange-500" />
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</div>
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</div>
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)}
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{/* 加载状态 */}
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{isPickerLoading && (
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<div className="absolute inset-0 flex items-center justify-center bg-black/20 rounded-lg">
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<div className="bg-white rounded-lg px-4 py-3 flex items-center gap-2 shadow-lg">
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<Loader2 className="h-5 w-5 animate-spin text-orange-500" />
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<span className="text-sm">正在识别...</span>
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</div>
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</div>
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)}
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</div>
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</div>,
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document.body
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);
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}
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