feat: AI 对话支持 A2UI 表单/审查/图表与 Excel 读取
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295
apps/admin/src/components/AiChat/DynamicChart.tsx
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295
apps/admin/src/components/AiChat/DynamicChart.tsx
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import React, { useEffect, useMemo, useRef, useState } from 'react';
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import { XCard, registerCatalog } from '@ant-design/x-card';
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import type { XAgentCommand_v0_9 } from '@ant-design/x-card';
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import { Button, Tag, Tooltip, Typography } from 'antd';
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import { DownloadOutlined } from '@ant-design/icons';
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import type { EChartsType } from 'echarts/core';
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import ReactECharts, { type EChartsOption } from '../../components/ECharts';
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import type { AiChartSchema } from './types';
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const CHART_CATALOG_ID = 'gongxue-chart-catalog';
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registerCatalog({
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catalogId: CHART_CATALOG_ID,
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components: {
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ChartPreview: {
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type: 'object',
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properties: {
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chart: { type: 'object' },
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},
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},
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},
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});
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function surfaceId(chartId: string): string {
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return `chart-${chartId}`;
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}
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function numberValue(value: unknown): number {
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const parsed = Number(value);
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return Number.isFinite(parsed) ? parsed : 0;
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}
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const CHART_TYPE_LABELS: Record<string, string> = {
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line: '折线图',
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bar: '柱状图',
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pie: '饼图',
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area: '面积图',
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scatter: '散点图',
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radar: '雷达图',
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gauge: '仪表盘',
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funnel: '漏斗图',
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};
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function buildOption(chart: AiChartSchema): EChartsOption {
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const columns = chart.columns;
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if (chart.chartType === 'scatter') {
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const nameField = columns[0]?.key ?? '';
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const xField = columns[1]?.key ?? '';
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const yField = columns[2]?.key ?? '';
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const data = chart.rows.map((row) => ({
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name: String(row[nameField] ?? ''),
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value: [numberValue(row[xField]), numberValue(row[yField])],
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}));
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return {
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tooltip: {
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trigger: 'item',
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formatter: (params: unknown) => {
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const item = params as { name?: string; value?: number[] };
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const [x, y] = item.value ?? [];
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return `${item.name ?? ''}: (${x ?? 0}, ${y ?? 0})`;
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},
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},
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grid: { left: 8, right: 16, top: 32, bottom: 48, containLabel: true },
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xAxis: { type: 'value', name: columns[1]?.title },
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yAxis: { type: 'value', name: columns[2]?.title },
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series: [{ type: 'scatter', symbolSize: 10, data }],
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};
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}
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if (chart.chartType === 'radar') {
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const seriesNameField = columns[0]?.key ?? '';
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const indicatorColumns = columns.slice(1);
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const indicators = indicatorColumns.map((column) => {
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const values = chart.rows.map((row) => numberValue(row[column.key]));
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const max = Math.max(1, ...values);
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return { name: column.title, max: Math.ceil(max * 1.1) };
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});
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const seriesData = chart.rows.map((row) => ({
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name: String(row[seriesNameField] ?? ''),
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value: indicatorColumns.map((column) => numberValue(row[column.key])),
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}));
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return {
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tooltip: { trigger: 'item' },
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legend: { bottom: 0, type: 'scroll' },
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radar: { indicator: indicators, radius: '65%' },
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series: [{ type: 'radar', data: seriesData }],
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};
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}
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if (chart.chartType === 'gauge') {
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const nameField = columns[0]?.key ?? '';
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const valueField = columns[1]?.key ?? '';
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const maxField = columns[2]?.key;
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const gauges = chart.rows.map((row) => ({
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name: String(row[nameField] ?? ''),
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value: numberValue(row[valueField]),
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max: maxField ? Math.max(1, numberValue(row[maxField])) : 100,
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}));
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return {
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series: gauges.map((gauge, index) => ({
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type: 'gauge',
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center: [`${((index + 0.5) * 100) / gauges.length}%`, '58%'],
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radius: '75%',
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min: 0,
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max: gauge.max,
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title: { show: true, offsetCenter: [0, '82%'], fontSize: 12 },
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detail: { formatter: '{value}', fontSize: 14, offsetCenter: [0, '20%'] },
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data: [{ value: gauge.value, name: gauge.name }],
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})),
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};
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}
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if (chart.chartType === 'funnel') {
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const nameField = columns[0]?.key ?? '';
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const valueField = columns[1]?.key ?? '';
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const data = chart.rows.map((row) => ({
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name: String(row[nameField] ?? ''),
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value: numberValue(row[valueField]),
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}));
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return {
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tooltip: { trigger: 'item', formatter: '{b}: {c}' },
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legend: { bottom: 0, type: 'scroll' },
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series: [
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{
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type: 'funnel',
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left: '10%',
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top: 20,
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bottom: 40,
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width: '80%',
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minSize: '20%',
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label: { formatter: '{b}: {c}' },
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data,
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},
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],
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};
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}
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if (chart.chartType === 'pie') {
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const nameField = columns[0]?.key ?? '';
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const valueField = columns[1]?.key ?? '';
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const data = chart.rows.map((row) => ({
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name: String(row[nameField] ?? ''),
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value: numberValue(row[valueField]),
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}));
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return {
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tooltip: { trigger: 'item' },
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legend: { bottom: 0, type: 'scroll' },
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series: [
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{
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type: 'pie',
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radius: ['35%', '68%'],
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center: ['50%', '45%'],
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data,
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label: { formatter: '{b}: {c}' },
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},
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],
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};
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}
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const categoryField = columns[0]?.key ?? '';
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const categories = chart.rows.map((row) => String(row[categoryField] ?? ''));
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const series = columns.slice(1).map((column) => ({
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name: column.title,
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type: chart.chartType === 'area' ? 'line' : chart.chartType,
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smooth: chart.chartType === 'line',
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...(chart.chartType === 'area' ? { areaStyle: { opacity: 0.18 } } : {}),
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data: chart.rows.map((row) => numberValue(row[column.key])),
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}));
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return {
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tooltip: { trigger: 'axis' },
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legend: { bottom: 0, type: 'scroll' },
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grid: { left: 8, right: 16, top: 32, bottom: 48, containLabel: true },
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xAxis: {
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type: 'category',
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data: categories,
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axisLabel: { interval: 0, rotate: categories.length > 8 ? 30 : 0 },
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},
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yAxis: { type: 'value' },
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series,
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};
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}
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interface ChartPreviewProps {
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chart?: AiChartSchema;
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}
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/**
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* A2UI component registered for the `gongxue-chart-catalog` catalog.
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* Receives the validated tabular chart data through data binding and
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* renders an ECharts option built from it.
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*/
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const ChartPreview: React.FC<ChartPreviewProps> = ({ chart }) => {
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const option = useMemo<EChartsOption>(() => (chart ? buildOption(chart) : {}), [chart]);
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const [instance, setInstance] = useState<EChartsType | null>(null);
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if (!chart) return null;
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const downloadImage = () => {
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if (!instance) return;
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const url = instance.getDataURL({
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type: 'png',
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pixelRatio: 2,
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backgroundColor: '#fff',
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});
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const link = document.createElement('a');
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link.href = url;
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link.download = `${chart.title || '图表'}.png`;
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document.body.appendChild(link);
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link.click();
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link.remove();
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};
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return (
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<div className="ai-chat-chart-card">
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<div className="ai-chat-chart-card__header">
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<Typography.Text strong>{chart.title}</Typography.Text>
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<span className="ai-chat-chart-card__header-actions">
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<Tag color="blue">{CHART_TYPE_LABELS[chart.chartType] ?? chart.chartType}</Tag>
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<Tooltip title="下载图片">
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<Button
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type="text"
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size="small"
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className="ai-chat-chart-card__download"
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aria-label="下载图表图片"
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icon={<DownloadOutlined />}
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onClick={downloadImage}
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disabled={!instance}
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/>
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</Tooltip>
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</span>
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</div>
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<ReactECharts
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option={option}
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style={{ width: '100%', height: 260 }}
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onReady={setInstance}
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/>
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</div>
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);
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};
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export interface DynamicChartProps {
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chart: AiChartSchema;
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}
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/**
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* Chart card rendered through the official @ant-design/x-card renderer.
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* Display-only: no submit endpoint, the schema lives in message metadata
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* so history replays identically.
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*/
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export const DynamicChart: React.FC<DynamicChartProps> = ({ chart }) => {
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const commandsRef = useRef<XAgentCommand_v0_9[]>([]);
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const [commands, setCommands] = useState<XAgentCommand_v0_9[]>([]);
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const idRef = useRef<string>('');
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useEffect(() => {
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const sid = surfaceId(chart.id);
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if (idRef.current !== sid) {
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commandsRef.current = [];
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idRef.current = sid;
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}
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const cmds = commandsRef.current;
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if (cmds.length === 0) {
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cmds.push({
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version: 'v0.9',
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createSurface: { surfaceId: sid, catalogId: CHART_CATALOG_ID },
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});
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}
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cmds.push({
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version: 'v0.9',
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updateDataModel: {
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surfaceId: sid,
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path: '/chart',
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value: chart,
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},
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});
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cmds.push({
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version: 'v0.9',
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updateComponents: {
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surfaceId: sid,
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components: [
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{
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id: 'root',
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component: 'ChartPreview',
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chart: { path: '/chart' },
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},
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],
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},
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});
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setCommands([...cmds]);
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}, [chart]);
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return (
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<div className="ai-chat-chart">
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<XCard.Box components={{ ChartPreview }} commands={commands}>
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<XCard.Card id={surfaceId(chart.id)} />
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</XCard.Box>
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</div>
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);
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};
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export default DynamicChart;
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