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feat: 组合回测分析体系对齐单标的 — 组合级WF/一条龙/完整25项绩效/AI解读
组合回测(一策略×多标的)此前只能看 4 个数字,本轮把单标的的整条 分析链路在组合端补齐(WebUI/REST 双端): - portfolio_engine:合并净值+汇总成交喂 PerformanceAnalyzer,输出 完整 25 项指标(SQN/最大连胜连亏/Ulcer/VaR/CVaR 等)+ 组合层 trades(symbol 列);修复假年化与回撤口径(负值+固定分母 → 逐点峰值,与单标的/多策略一致) - walkforward:新增 PortfolioWalkForwardEngine,按标的日期并集切窗、 每窗独立开仓、合成组合窗内净值,复用 WalkForwardResult 结构 - benchmark:新增 evaluate_portfolio 一条龙(组合回测+组合WF+ 跨标的多数口径适配性体检+综合评分+组合评级+等权买入持有基准对比), 报告结构与单标的 evaluate_strategy 同构 - performance:FIFO 持仓天数配对支持 symbol 分组 - Web:新增 POST /backtest/portfolio/wf/run/async 与 /backtest/portfolio/evaluate/run/async;组合回测响应附带 grade(组合净值口径)与 score;新增 _normalize_bars_dt 修复 按标的取数路径的字符串日期/遗留 date 列崩溃(E2E 揭露) - 前端:组合页新增附加分析勾选区与组合绩效指标/WF/一条龙/成交明细 区块;buildPortfolioAiPrompt 组合版 Prompt;抽通用 AiInterpretModal(回测页迁移共用,行为不变);TradeTable 支持 showSymbol;EvaluatePanel 支持 gradeOverride - 测试:后端 +17 例(pytest 1603 绿)、aiPrompt 组合版 2 例、 Playwright 组合页 E2E 2 例(9/9 绿)
This commit is contained in:
@@ -0,0 +1,73 @@
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// 组合回测页 E2E:多标的 + 策略 → 开始组合回测 → 完整绩效指标 + 各标的对比
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// + 附加分析(组合 WF / 组合一条龙)+ 组合成交明细 + AI 解读弹窗。
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//
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// 行情来自 mock /bars(确定性合成 OHLCV,2600 根/标的),组合回测/WF/一条龙
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// 走真实后端引擎。
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import { expect, test } from '@playwright/test'
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test('组合回测全流程:评级 + 净值 + 完整指标 + 对比 + 成交明细', async ({ page }) => {
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await page.goto('/portfolio?startDate=2023-01-01&endDate=2025-12-31')
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// 默认两只标的(SZ:000001 / SH:600519),默认策略 ma_cross
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await expect(page.getByRole('button', { name: '开始组合回测' })).toBeEnabled()
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await page.getByRole('button', { name: '开始组合回测' }).click()
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// 组合评级 + 组合整体绩效(含年化收益)
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await expect(page.getByRole('heading', { name: '组合评级' })).toBeVisible({ timeout: 60_000 })
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const perfSummary = page.locator('.report-section', { hasText: '组合整体绩效' })
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await expect(perfSummary.getByText('年化收益', { exact: true })).toBeVisible()
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// 组合净值曲线(echarts canvas)
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await expect(page.getByRole('heading', { name: '组合净值曲线' })).toBeVisible()
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await expect(page.locator('.report-section canvas').first()).toBeVisible()
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// 完整绩效指标(v1.31 与单标的同口径,含 SQN/最大连胜)
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const perfSection = page.locator('.report-section', { hasText: '组合绩效指标' })
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await expect(perfSection.locator('.metric-label', { hasText: 'SQN 系统质量' })).toBeVisible()
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await expect(perfSection.locator('.metric-label', { hasText: '最大连胜' })).toBeVisible()
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await expect(perfSection.locator('.metric-label', { hasText: '最大连亏' })).toBeVisible()
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// 各标的对比 + 组合成交明细(带标的列)
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await expect(page.getByRole('heading', { name: '各标的绩效对比' })).toBeVisible()
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await expect(page.getByRole('heading', { name: /组合成交明细(\d+ 笔/ })).toBeVisible()
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const tradeSection = page.locator('.report-section', { hasText: '组合成交明细' })
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await expect(tradeSection.locator('th', { hasText: '标的' })).toBeVisible()
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})
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test('勾选附加分析后出现组合 WF 面板、一条龙评估与 AI 组合 Prompt', async ({ page }) => {
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await page.goto('/portfolio?startDate=2023-01-01&endDate=2025-12-31')
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await page.getByLabel('Walk-Forward 样本外验证').check()
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await expect(page.getByLabel('一条龙评估')).toBeVisible()
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await page.getByLabel('一条龙评估').check()
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await page.getByRole('button', { name: '开始组合回测' }).click()
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// 组合 WF:与单标的同构面板(逐窗柱状图 + 6 项汇总)
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await expect(page.getByRole('heading', { name: 'Walk-Forward 样本外验证' })).toBeVisible({
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timeout: 60_000,
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})
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await expect(page.locator('.wf-chart canvas')).toBeVisible({ timeout: 120_000 })
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await expect(page.locator('.wf-summary .stat')).toHaveCount(6)
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// 组合一条龙:综合评分 + 基准对比(等权买入持有组合)
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await expect(page.locator('.eval-panel')).toBeVisible({ timeout: 180_000 })
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await expect(page.locator('.eval-header').getByText('综合评分', { exact: true })).toBeVisible()
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await expect(page.locator('.eval-header').getByText('对比买入持有')).toBeVisible()
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// AI 解读弹窗:组合版 Prompt 打包(组合配置 + 各标的表现 + WF + 一条龙)
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await page.getByRole('button', { name: '🤖 AI 解读' }).click()
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const area = page.locator('.ai-prompt-area')
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await expect(area).toBeVisible()
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await expect(area).toHaveValue(/组合回测报告(同一个策略分别跑在一篮子标的上/)
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await expect(area).toHaveValue(/# 组合回测配置/)
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await expect(area).toHaveValue(/SZ:000001、SH:600519/)
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await expect(area).toHaveValue(/# 各标的表现(按收益降序/)
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await expect(area).toHaveValue(/Walk-Forward 样本外验证/)
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await expect(area).toHaveValue(/# 一条龙评估/)
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await expect(area).toHaveValue(/# 背景与免责/)
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await page.getByRole('button', { name: '关闭' }).click()
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await expect(area).toBeHidden()
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})
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@@ -217,3 +217,116 @@ test('可选段:WF / 一条龙评估 / 评级按需拼接', () => {
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assert.match(p, /档位:\*\*D\*\*(总分 31\.2\/100)——持有体验差或系统亏损,不建议参与/)
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assert.match(p, /一票否决:最大回撤 41\.7%/)
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})
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// ── 组合版 Prompt(buildPortfolioAiPrompt,v1.31)────────────────────────────
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import { buildPortfolioAiPrompt } from '../aiPrompt.ts'
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import type { PortfolioResult } from '../types.ts'
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const PORTFOLIO_RESULT: PortfolioResult = {
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total_performance: {
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...PERF,
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total_return: 0.42,
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annual_return: 0.098,
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max_drawdown: 0.18,
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total_stocks: 2,
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total_cash: 1000000,
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},
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individual_results: {
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'SZ:000001': RESULT,
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'SH:600519': RESULT,
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},
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equity_allocation: { 'SZ:000001': 0.5, 'SH:600519': 0.5 },
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combined_equity: [
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{ datetime: '2020-01-06', cash: 1000000, position_value: 0, total: 1000000, drawdown: 0, drawdown_pct: 0 },
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{ datetime: '2022-04-26', cash: 0, position_value: 1420000, total: 1420000, drawdown: 0, drawdown_pct: 0 },
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],
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trades: [
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{ symbol: 'SZ:000001', datetime: '2020-02-03', direction: 'BUY', size: 1000, price: 4.52, commission: 5, slippage: 0, pnl: 0, rejected: false },
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{ symbol: 'SH:600519', datetime: '2020-03-10', direction: 'SELL', size: 500, price: 4.71, commission: 5, slippage: 0, pnl: 90, rejected: false },
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],
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}
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test('组合版:组合配置/标的清单/完整指标/各标的表现/组合成交齐全', () => {
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const p = buildPortfolioAiPrompt({
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stocks: ['SZ:000001', 'SH:600519'],
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category: 'DAY',
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startDate: '2020-01-06',
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endDate: '2026-09-02',
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strategyLabel: '双均线交叉',
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params: { fast: 5, slow: 20 },
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cash: 1000000,
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commission: 0.0003,
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slippage: 0,
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execution: 'next_open',
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result: PORTFOLIO_RESULT,
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})
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// 组合角色设定(明确「一篮子标的、资金均分」语境)
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assert.match(p, /# 角色设定/)
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assert.match(p, /组合回测报告(同一个策略分别跑在一篮子标的上/)
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// 配置段
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assert.match(p, /# 组合回测配置/)
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assert.match(p, /2 只标的上,资金均分(各拿总额的 50\.0%)/)
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assert.match(p, /SZ:000001、SH:600519/)
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assert.match(p, /组合总资金:1,000,000 元/)
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// 完整 25 项指标(含 SQN/连胜连亏)
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for (const label of ['SQN 系统质量', '最大连胜', '最大连亏', 'Ulcer 指数']) {
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assert.ok(p.includes(`- ${label}:`), `缺少指标行:${label}`)
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}
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assert.match(p, /- 总收益率:42\.00%/)
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// 净值概览 + 各标的表现(降序)
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assert.match(p, /# 净值概览/)
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assert.match(p, /# 各标的表现(按收益降序;全部)/)
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assert.match(p, /- SZ:000001:总收益 \+126\.43%,最大回撤 -41\.65%,夏普 0\.53,90 笔(胜率 \+35\.56%)/)
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// 组合成交(带标的)
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assert.match(p, /# 最近成交(组合合计的最后 8 笔)/)
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assert.match(p, /SH:600519 2020-03-10 卖出 500 股 @ 4\.71,本笔盈亏 \+90 元/)
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assert.match(p, /# 背景与免责/)
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// 未提供可选数据时,对应段落不出现
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assert.ok(!p.includes('Walk-Forward 样本外验证'))
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assert.ok(!p.includes('一条龙评估'))
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assert.ok(!p.includes('评级(不看收益率)'))
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})
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test('组合版:WF / 一条龙 / 评级按需拼接', () => {
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const p = buildPortfolioAiPrompt({
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stocks: ['SZ:000001', 'SH:600519'],
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category: 'DAY',
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startDate: '2020-01-06',
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endDate: '2026-09-02',
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strategyLabel: '双均线交叉',
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params: {},
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cash: 1000000,
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commission: 0.0003,
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slippage: 0,
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execution: 'next_open',
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result: PORTFOLIO_RESULT,
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wf: {
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n_windows: 5,
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warmup_ratio: 0.3,
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windows: [
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{ index: 0, start: '2021-01-01', end: '2021-12-31', bars: 240, total_return: 0.03, sharpe: 0.6, max_drawdown: -0.05, total_trades: 30, win_rate: 0.53 },
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{ index: 1, start: '2022-01-01', end: '2022-12-31', bars: 240, total_return: -0.01, sharpe: -0.2, max_drawdown: -0.09, total_trades: 26, win_rate: 0.46 },
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],
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consistency: 0.5,
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chained_return: 0.0197,
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mean_window_return: 0.01,
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median_window_return: 0.01,
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worst_window: -0.01,
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best_window: 0.03,
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mean_sharpe: 0.2,
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worst_drawdown: -0.09,
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total_trades: 56,
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},
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grade: { ...GRADE, scenario: 'portfolio' },
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gradeHint: '持有体验差或系统亏损,不建议参与',
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})
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assert.match(p, /Walk-Forward 样本外验证(同参数跨时段稳定性)/)
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assert.match(p, /窗口数:5/)
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assert.match(p, /窗1(2021-01-01 ~ 2021-12-31):\+3\.00%,夏普 0\.60,最大回撤 -5\.00%,30 笔(胜率 \+53\.00%)/)
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assert.match(p, /# 评级(不看收益率,面向「普通人拿不拿得住」)/)
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assert.match(p, /档位:\*\*D\*\*/)
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})
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+123
-4
@@ -11,9 +11,12 @@
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import type {
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BacktestResult,
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Category,
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EquityPoint,
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EvaluateReport,
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ExecutionMode,
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Performance,
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PortfolioResult,
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PortfolioTrade,
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Trade,
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WalkForwardResult,
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} from './types'
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@@ -45,6 +48,27 @@ export interface AiPromptInput {
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gradeHint?: string
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}
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export interface PortfolioAiPromptInput {
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/** 完整标的代码列表(带市场前缀,如 ["SZ:000001", "SH:600519"]) */
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stocks: string[]
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category: Category
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startDate: string
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endDate: string
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strategyLabel: string
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params: Record<string, number | string | boolean>
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cash: number
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commission: number
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slippage: number
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execution: ExecutionMode
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result: PortfolioResult
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/** 附加分析(未勾选/未跑完时传 null,对应段落自动省略) */
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wf?: WalkForwardResult | null
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evaluate?: EvaluateReport | null
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grade?: GradeResult | null
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/** 评级档位的一句话含义(GRADE_META[grade].hint,由组件传入) */
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gradeHint?: string
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}
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// ── 展示辅助(自包含,避免运行时依赖其他模块)────────────────────────────────
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const CATEGORY_LABELS: Record<Category, string> = {
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@@ -139,7 +163,15 @@ function n(v: number | string | null | undefined): number | undefined {
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// ── 各段落构建 ───────────────────────────────────────────────────────────────
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function sectionRole(): string {
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function sectionRole(kind: 'single' | 'portfolio' = 'single'): string {
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const intro =
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kind === 'portfolio'
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? '下面是我跑出来的组合回测报告(同一个策略分别跑在一篮子标的上,资金均分、各标的独立回测后净值加总),帮我看看这个组合策略到底行不行。内容上要说到这六件事,顺序随意,用你自然的说话方式组织:'
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: '下面是我跑出来的回测报告,帮我看看这个策略到底行不行。内容上要说到这六件事,顺序随意,用你自然的说话方式组织:'
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const step5 =
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kind === 'portfolio'
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? '5. **给可执行的下一步**:几条我马上能做的事(改什么参数、加什么过滤、换哪些标的、先做什么测试再谈实盘),别空谈;'
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: '5. **给可执行的下一步**:几条我马上能做的事(改什么参数、加什么过滤、先做什么测试再谈实盘),别空谈;'
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return [
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'# 角色设定',
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'',
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@@ -147,13 +179,13 @@ function sectionRole(): string {
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'',
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'# 任务',
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'',
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'下面是我跑出来的回测报告,帮我看看这个策略到底行不行。内容上要说到这六件事,顺序随意,用你自然的说话方式组织:',
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intro,
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'',
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'1. **先给结论**:这策略现在处于什么状态——「可以继续往下走」「底子不错但还差几步」还是「问题不小,得大改」?一句话说清,再讲理由;',
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'2. **优点和毛病都要讲**:先说说它强在哪(哪些数字是真的好看、说明策略做对了什么),再讲你担心什么。别只挑刺,也别光报喜——我是想知道这策略能不能用,不是来听审判也不是来听表扬的。挑最有说服力的几组数字讲,不用面面俱到;',
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'3. **说说持有体验**:真拿钱跑这个策略,过程大概什么感受——多久交易一次、最惨的时候有多惨、普通人拿不拿得住;',
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'4. **判断是规律还是运气**:从分时段数据(Walk-Forward 各窗收益、训练/验证/测试三段、和死拿不动的对比)找证据。有担心就直说,但像朋友提醒那样说,别像下判决书;',
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'5. **给可执行的下一步**:几条我马上能做的事(改什么参数、加什么过滤、先做什么测试再谈实盘),别空谈;',
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step5,
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'6. **最后打个分**:给这个策略一个 0-10 的「信心分」,代表你现在有多大把握它值得继续投入。打分要和前面说的话一致(前面夸的多就别打低分,反过来也一样),再用一两句话说说为什么是这个分、到几分你会建议我拿小仓位试试。参考刻度:0-3 建议放弃,4-6 值得继续改(说清往哪改),7-8 可以小仓位试错,9 以上才谈逐步加仓。',
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'',
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'# 说话方式(很重要)',
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@@ -198,7 +230,10 @@ function sectionMetrics(perf: Performance): string {
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}
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function sectionEquity(result: BacktestResult): string {
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const eq = result.equity_curve
|
||||
return sectionEquityPoints(result.equity_curve)
|
||||
}
|
||||
|
||||
function sectionEquityPoints(eq: EquityPoint[] | undefined): string {
|
||||
if (!eq || eq.length === 0) return ''
|
||||
let peak = eq[0]
|
||||
let trough = eq[0]
|
||||
@@ -327,9 +362,74 @@ function sectionFooter(): string {
|
||||
'以上数据来自 easy-tdx 的历史 K 线回测(已计入佣金与滑点)。历史回测存在幸存者偏差与未来不确定性,不构成投资建议,你的解读也以研究学习为目的。',
|
||||
'数据里缺失的项(显示 - 或整段没有的)直接跳过,不用专门解释局限。',
|
||||
'好了,开始吧。',
|
||||
'# 重要提醒',
|
||||
'禁止使用状语',
|
||||
].join('\n')
|
||||
}
|
||||
|
||||
// ── 组合版段落 ───────────────────────────────────────────────────────────────
|
||||
|
||||
function sectionPortfolioConfig(i: PortfolioAiPromptInput): string {
|
||||
const stockList =
|
||||
i.stocks.length <= 12
|
||||
? i.stocks.join('、')
|
||||
: `${i.stocks.slice(0, 12).join('、')} 等 ${i.stocks.length} 只`
|
||||
const lines = [
|
||||
'# 组合回测配置',
|
||||
'',
|
||||
`- 组合形式:同一个策略分别跑在 ${i.stocks.length} 只标的上,资金均分(各拿总额的 ${(
|
||||
100 / i.stocks.length
|
||||
).toFixed(1)}%),标的间独立回测、净值按日加总`,
|
||||
`- 标的列表:${stockList}`,
|
||||
`- 回测区间:${i.startDate} ~ ${i.endDate}(${CATEGORY_LABELS[i.category] ?? i.category})`,
|
||||
`- 策略:${i.strategyLabel}`,
|
||||
`- 参数:${fmtParams(i.params)}`,
|
||||
`- 组合总资金:${fmtMoney(i.cash)} 元;佣金 ${i.commission};滑点 ${i.slippage};成交价:${EXECUTION_LABELS[i.execution] ?? i.execution}`,
|
||||
'',
|
||||
]
|
||||
return lines.join('\n')
|
||||
}
|
||||
|
||||
/** 各标的表现摘要:按收益降序,超过 12 只时只列最好 6 只 + 最差 6 只。 */
|
||||
function sectionStocksSummary(result: PortfolioResult): string {
|
||||
const entries = Object.entries(result.individual_results)
|
||||
if (entries.length === 0) return ''
|
||||
const sorted = entries
|
||||
.map(([symbol, r]) => ({ symbol, perf: r.performance }))
|
||||
.sort((a, b) => (b.perf.total_return ?? 0) - (a.perf.total_return ?? 0))
|
||||
const shown =
|
||||
sorted.length <= 12
|
||||
? sorted
|
||||
: [...sorted.slice(0, 6), ...sorted.slice(sorted.length - 6)]
|
||||
const lines = [
|
||||
'# 各标的表现(按收益降序;' +
|
||||
(sorted.length <= 12 ? '全部' : `省略中间 ${sorted.length - 12} 只,其余为最好/最差各 6 只`) +
|
||||
')',
|
||||
'',
|
||||
]
|
||||
for (const { symbol, perf } of shown) {
|
||||
lines.push(
|
||||
`- ${symbol}:总收益 ${pct(perf.total_return)},最大回撤 ${pct(perf.max_drawdown)},夏普 ${ratio(perf.sharpe)},${Math.round(perf.total_trades ?? 0)} 笔(胜率 ${pct(perf.win_rate)})`,
|
||||
)
|
||||
}
|
||||
lines.push('')
|
||||
return lines.join('\n')
|
||||
}
|
||||
|
||||
function sectionPortfolioTrades(trades: PortfolioTrade[] | undefined): string {
|
||||
if (!trades || trades.length === 0) return ''
|
||||
const recent = trades.slice(-8)
|
||||
const lines = ['# 最近成交(组合合计的最后 8 笔)', '']
|
||||
for (const t of recent) {
|
||||
const dir = t.direction === 'BUY' ? '买入' : '卖出'
|
||||
const pnl =
|
||||
t.direction === 'SELL' && t.pnl !== 0 ? `,本笔盈亏 ${t.pnl >= 0 ? '+' : ''}${fmtMoney(t.pnl)} 元` : ''
|
||||
lines.push(`- ${t.symbol} ${fmtDate(t.datetime)} ${dir} ${Math.round(t.size)} 股 @ ${t.price.toFixed(2)}${pnl}`)
|
||||
}
|
||||
lines.push('')
|
||||
return lines.join('\n')
|
||||
}
|
||||
|
||||
// ── 主函数 ───────────────────────────────────────────────────────────────────
|
||||
|
||||
/** 组装 AI 解读 Prompt(markdown 结构,任意 LLM 可直接消费)。 */
|
||||
@@ -348,3 +448,22 @@ export function buildAiPrompt(input: AiPromptInput): string {
|
||||
parts.push(sectionFooter())
|
||||
return parts.join('\n')
|
||||
}
|
||||
|
||||
/** 组装组合回测的 AI 解读 Prompt(与单标的同构,段落随附加分析增减)。 */
|
||||
export function buildPortfolioAiPrompt(input: PortfolioAiPromptInput): string {
|
||||
const parts: string[] = [
|
||||
sectionRole('portfolio'),
|
||||
sectionPortfolioConfig(input),
|
||||
sectionMetrics(input.result.total_performance),
|
||||
sectionEquityPoints(input.result.combined_equity),
|
||||
]
|
||||
const stocksSummary = sectionStocksSummary(input.result)
|
||||
if (stocksSummary) parts.push(stocksSummary)
|
||||
if (input.wf) parts.push(sectionWf(input.wf))
|
||||
if (input.evaluate) parts.push(sectionEvaluate(input.evaluate))
|
||||
if (input.grade) parts.push(sectionGrade(input.grade, input.gradeHint))
|
||||
const trades = sectionPortfolioTrades(input.result.trades)
|
||||
if (trades) parts.push(trades)
|
||||
parts.push(sectionFooter())
|
||||
return parts.join('\n')
|
||||
}
|
||||
|
||||
@@ -201,6 +201,33 @@ export async function submitPortfolioTask(
|
||||
return (await resp.json()) as TaskSubmitResponse
|
||||
}
|
||||
|
||||
/** 提交组合级 Walk-Forward 样本外验证后台任务(n_windows 默认 7)。 */
|
||||
export async function submitPortfolioWalkforwardTask(
|
||||
req: PortfolioBacktestRequest,
|
||||
nWindows = 7,
|
||||
): Promise<TaskSubmitResponse> {
|
||||
const resp = await fetch(`${BASE}/backtest/portfolio/wf/run/async?n_windows=${nWindows}`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify(req),
|
||||
})
|
||||
if (!resp.ok) await throwError(resp)
|
||||
return (await resp.json()) as TaskSubmitResponse
|
||||
}
|
||||
|
||||
/** 提交组合级一条龙评估后台任务(组合回测+WF+适配性+评分+基准对比)。 */
|
||||
export async function submitPortfolioEvaluateTask(
|
||||
req: PortfolioBacktestRequest,
|
||||
): Promise<TaskSubmitResponse> {
|
||||
const resp = await fetch(`${BASE}/backtest/portfolio/evaluate/run/async`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify(req),
|
||||
})
|
||||
if (!resp.ok) await throwError(resp)
|
||||
return (await resp.json()) as TaskSubmitResponse
|
||||
}
|
||||
|
||||
/** 提交多策略组合回测后台任务(资金分仓),返回 task_id。 */
|
||||
export async function submitMultiStrategyTask(
|
||||
req: MultiStrategyBacktestRequest,
|
||||
|
||||
@@ -0,0 +1,256 @@
|
||||
<script setup lang="ts">
|
||||
// AI 解读弹窗(单标的/组合回测通用):Prompt 预览 + 复制/下载 + 一键直接解读。
|
||||
// Prompt 由父组件实时组装传入(附加分析跑完内容自动变全),本组件只管交互;
|
||||
// 直接解读走后端 LLM 后台任务(配置见「AI 设置」页),解读记录旁路落历史库。
|
||||
import { onMounted, ref, watch } from 'vue'
|
||||
|
||||
import { formatError, fetchLlmConfig, runLlmChatWithPolling } from '../api'
|
||||
import type { LlmChatContext, LlmChatResult } from '../types'
|
||||
|
||||
const props = defineProps<{
|
||||
/** 已组装好的 Prompt 全文(computed 传入,实时更新) */
|
||||
prompt: string
|
||||
/** 下载文件名(如 AI解读_SZ000001_ma_cross.md) */
|
||||
filename: string
|
||||
/** 直接解读时随 Prompt 落历史库的策略上下文(历史页「去回测」引导用) */
|
||||
context?: LlmChatContext
|
||||
/** 弹窗描述里的附加提示(如「建议等附加分析跑完再发」) */
|
||||
tip?: string
|
||||
}>()
|
||||
|
||||
const emit = defineEmits<{ close: [] }>()
|
||||
|
||||
const aiMsg = ref('')
|
||||
// 直接解读(服务端 LLM 已配置时可用,配置见「AI 设置」页)
|
||||
const llmReady = ref(false)
|
||||
const llmLabel = ref('')
|
||||
const aiRunning = ref(false)
|
||||
const aiElapsed = ref(0)
|
||||
const aiReply = ref('')
|
||||
let aiTimer = 0
|
||||
|
||||
onMounted(() => {
|
||||
// 打开时探测 LLM 是否已配置(失败静默——导出 Prompt 的老路径不依赖后端)
|
||||
fetchLlmConfig()
|
||||
.then((resp) => {
|
||||
llmReady.value = resp.configured
|
||||
const p = resp.providers.find((x) => x.id === resp.config.provider)
|
||||
llmLabel.value = p ? `${p.label} · ${resp.resolved.model}` : resp.resolved.model
|
||||
})
|
||||
.catch(() => {
|
||||
llmReady.value = false
|
||||
})
|
||||
})
|
||||
|
||||
watch(
|
||||
() => props.prompt,
|
||||
() => {
|
||||
// 配置更新后重置旧的失败/成功消息之外的回复?保持回复不动,仅清错误提示
|
||||
if (aiMsg.value.startsWith('解读失败')) aiMsg.value = ''
|
||||
},
|
||||
)
|
||||
|
||||
/** 直接解读:把组装好的 Prompt 提交为后台任务并轮询(不占 HTTP 连接)。 */
|
||||
async function runAiInterpret() {
|
||||
if (!props.prompt || aiRunning.value) return
|
||||
aiRunning.value = true
|
||||
aiMsg.value = ''
|
||||
aiReply.value = ''
|
||||
// 后台任务模式:模型生成 1-3 分钟正常——显示已耗时防误判卡死
|
||||
aiElapsed.value = 0
|
||||
aiTimer = window.setInterval(() => {
|
||||
aiElapsed.value += 1
|
||||
}, 1000)
|
||||
try {
|
||||
const state = await runLlmChatWithPolling(props.prompt, props.context)
|
||||
// TaskState.result 是多任务类型联合,按 LLM 任务结构收窄
|
||||
const r = state.result as LlmChatResult | null
|
||||
// 后端已保证非空正文(空白正文会以 failed 上浮),前端再拦一道纯空白
|
||||
if (state.status === 'done' && r?.reply?.trim()) {
|
||||
aiReply.value = r.reply
|
||||
aiMsg.value = `✓ ${r.provider} · ${r.model} 已解读(${aiElapsed.value}s)`
|
||||
} else if (state.status === 'done') {
|
||||
aiMsg.value = '解读失败:模型返回了空正文(可能被 Max Tokens 截断),可在「AI 设置」调大后重试'
|
||||
} else {
|
||||
aiMsg.value = `解读失败:${state.error ?? '未知错误'}(可在「AI 设置」检查配置,或复制 Prompt 手动使用)`
|
||||
}
|
||||
} catch (e) {
|
||||
aiMsg.value = `解读失败:${formatError(e)}(可在「AI 设置」检查配置,或复制 Prompt 手动使用)`
|
||||
} finally {
|
||||
window.clearInterval(aiTimer)
|
||||
aiRunning.value = false
|
||||
}
|
||||
}
|
||||
|
||||
async function copyAiPrompt() {
|
||||
try {
|
||||
await navigator.clipboard.writeText(props.prompt)
|
||||
aiMsg.value = '✓ 已复制,粘贴给任意 AI 助手即可'
|
||||
} catch {
|
||||
// 剪贴板 API 不可用时退回选中文本,让用户手动 Ctrl+C
|
||||
const el = document.querySelector<HTMLTextAreaElement>('.ai-prompt-area')
|
||||
el?.focus()
|
||||
el?.select()
|
||||
aiMsg.value = document.execCommand('copy') ? '✓ 已复制' : '已全选文本,请按 Ctrl+C 复制'
|
||||
}
|
||||
}
|
||||
|
||||
function downloadAiPrompt() {
|
||||
const blob = new Blob([props.prompt], { type: 'text/markdown;charset=utf-8' })
|
||||
const url = URL.createObjectURL(blob)
|
||||
const a = document.createElement('a')
|
||||
a.href = url
|
||||
a.download = props.filename
|
||||
a.click()
|
||||
URL.revokeObjectURL(url)
|
||||
aiMsg.value = '✓ 已下载 .md 文件'
|
||||
}
|
||||
</script>
|
||||
|
||||
<template>
|
||||
<div class="modal-overlay" @click.self="emit('close')">
|
||||
<div class="modal modal-wide">
|
||||
<h3>🤖 AI 解读</h3>
|
||||
<p class="modal-desc">
|
||||
已把当前回测报告组装成提示词。
|
||||
<template v-if="llmReady">
|
||||
点击「直接解读」发送给已配置的模型({{ llmLabel }}),
|
||||
</template>
|
||||
<template v-else>
|
||||
在「AI 设置」页配置模型后可一键直接解读;也可
|
||||
</template>
|
||||
复制后发给任意 AI 助手(ChatGPT / Claude / DeepSeek / 豆包…)。
|
||||
<template v-if="tip"> {{ tip }}</template>
|
||||
</p>
|
||||
<textarea
|
||||
:value="prompt"
|
||||
class="ai-prompt-area"
|
||||
:class="{ collapsed: !!aiReply }"
|
||||
readonly
|
||||
:rows="aiReply ? 6 : 16"
|
||||
spellcheck="false"
|
||||
></textarea>
|
||||
<div v-if="aiReply" class="ai-reply">{{ aiReply }}</div>
|
||||
<div v-if="aiReply" class="ai-note">
|
||||
以上解读由 AI 模型生成,可能存在错误或过时信息,仅供参考,不构成投资建议。
|
||||
</div>
|
||||
<span v-if="aiMsg" class="ai-msg">{{ aiMsg }}</span>
|
||||
<div class="modal-actions">
|
||||
<button class="ghost" @click="emit('close')">关闭</button>
|
||||
<button class="ghost" @click="downloadAiPrompt">⬇ 下载 .md</button>
|
||||
<button class="ghost" @click="copyAiPrompt">复制 Prompt</button>
|
||||
<button
|
||||
v-if="llmReady"
|
||||
class="primary"
|
||||
:disabled="aiRunning || !prompt"
|
||||
@click="runAiInterpret"
|
||||
>
|
||||
{{ aiRunning ? `解读中… ${aiElapsed}s` : '✨ 直接解读' }}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<style scoped>
|
||||
.modal-overlay {
|
||||
position: fixed;
|
||||
inset: 0;
|
||||
background: rgba(0, 0, 0, 0.5);
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
z-index: 100;
|
||||
}
|
||||
.modal {
|
||||
background: var(--bg-panel);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: 8px;
|
||||
padding: 20px;
|
||||
width: 380px;
|
||||
max-width: 90vw;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 12px;
|
||||
}
|
||||
.modal h3 {
|
||||
font-size: 15px;
|
||||
font-weight: 600;
|
||||
}
|
||||
.modal-desc {
|
||||
font-size: 12px;
|
||||
color: var(--text-dim);
|
||||
line-height: 1.5;
|
||||
}
|
||||
.modal-actions {
|
||||
display: flex;
|
||||
justify-content: flex-end;
|
||||
gap: 8px;
|
||||
margin-top: 4px;
|
||||
}
|
||||
.modal-actions .ghost {
|
||||
font-size: 13px;
|
||||
padding: 7px 16px;
|
||||
background: transparent;
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius);
|
||||
color: var(--text-muted);
|
||||
cursor: pointer;
|
||||
}
|
||||
.modal-actions .primary {
|
||||
font-size: 13px;
|
||||
padding: 7px 16px;
|
||||
cursor: pointer;
|
||||
}
|
||||
.modal-actions .primary:disabled,
|
||||
.modal-actions .ghost:disabled {
|
||||
opacity: 0.5;
|
||||
cursor: default;
|
||||
}
|
||||
|
||||
/* AI 解读 Prompt 对话框(比保存对话框更宽,内容等宽小字可滚动) */
|
||||
.modal-wide {
|
||||
width: 640px;
|
||||
}
|
||||
.ai-prompt-area {
|
||||
font-family: var(--font-mono);
|
||||
font-size: 11.5px;
|
||||
line-height: 1.6;
|
||||
white-space: pre;
|
||||
overflow: auto;
|
||||
max-height: 55vh;
|
||||
background: var(--bg);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius);
|
||||
padding: 10px 12px;
|
||||
color: var(--text-muted);
|
||||
resize: vertical;
|
||||
}
|
||||
/* 直接解读出结果后 Prompt 区收窄,把版面让给回复 */
|
||||
.ai-prompt-area.collapsed {
|
||||
max-height: 18vh;
|
||||
}
|
||||
.ai-reply {
|
||||
margin-top: 8px;
|
||||
max-height: 38vh;
|
||||
overflow: auto;
|
||||
background: var(--bg-elevated);
|
||||
border: 1px solid var(--border);
|
||||
border-left: 3px solid var(--accent);
|
||||
border-radius: var(--radius);
|
||||
padding: 10px 12px;
|
||||
font-size: 13px;
|
||||
line-height: 1.7;
|
||||
white-space: pre-wrap;
|
||||
word-break: break-word;
|
||||
}
|
||||
.ai-msg {
|
||||
font-size: 12px;
|
||||
color: var(--up);
|
||||
}
|
||||
.ai-note {
|
||||
margin-top: 4px;
|
||||
font-size: 11px;
|
||||
color: var(--warn, #ffc107);
|
||||
}
|
||||
</style>
|
||||
@@ -10,9 +10,13 @@ import HelpCollapse from './HelpCollapse.vue'
|
||||
import { gradePerformance } from '../grading'
|
||||
import { evaluateGlossary } from '../data/glossary'
|
||||
import type { EvaluateReport } from '../types'
|
||||
import type { GradeResult } from '../grading/types'
|
||||
|
||||
const props = defineProps<{
|
||||
report: EvaluateReport
|
||||
/** 评级覆盖:组合级报告传入组合口径评级(gradePortfolio / 后端
|
||||
* grade_portfolio_equity),缺省时按单标的 6 维度本地重算。 */
|
||||
gradeOverride?: GradeResult | null
|
||||
}>()
|
||||
|
||||
/** 综合评分分项(含权重,展示顺序固定) */
|
||||
@@ -32,7 +36,7 @@ const scoreComponents = computed(() => {
|
||||
}))
|
||||
})
|
||||
|
||||
const grade = computed(() => gradePerformance(props.report.performance))
|
||||
const grade = computed(() => props.gradeOverride ?? gradePerformance(props.report.performance))
|
||||
|
||||
const excess = computed(() => props.report.benchmark.excess_return)
|
||||
|
||||
|
||||
@@ -1,10 +1,13 @@
|
||||
<script setup lang="ts">
|
||||
// 成交记录表。展示每笔成交的方向/数量/价格/费用/盈亏。
|
||||
// showSymbol 时多一列来源标的(组合页展示各标的汇总成交用)。
|
||||
|
||||
import type { Trade } from '../types'
|
||||
|
||||
defineProps<{
|
||||
trades: Trade[]
|
||||
/** 行类型兼容组合交易明细(PortfolioTrade = Trade & { symbol }) */
|
||||
trades: (Trade & { symbol?: string })[]
|
||||
showSymbol?: boolean
|
||||
}>()
|
||||
|
||||
function fmtDate(s: string): string {
|
||||
@@ -21,6 +24,7 @@ function fmtNum(v: number, digits = 2): string {
|
||||
<table v-else class="trade-table">
|
||||
<thead>
|
||||
<tr>
|
||||
<th v-if="showSymbol">标的</th>
|
||||
<th>日期</th>
|
||||
<th>方向</th>
|
||||
<th class="num">数量</th>
|
||||
@@ -31,6 +35,7 @@ function fmtNum(v: number, digits = 2): string {
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr v-for="(t, i) in trades" :key="i" :class="{ rejected: t.rejected }">
|
||||
<td v-if="showSymbol" class="muted">{{ t.symbol }}</td>
|
||||
<td>{{ fmtDate(t.datetime) }}</td>
|
||||
<td :class="t.direction">{{ t.direction }}</td>
|
||||
<td class="num">{{ fmtNum(t.size, 0) }}</td>
|
||||
|
||||
@@ -9,6 +9,8 @@ import {
|
||||
formatError,
|
||||
runBacktest,
|
||||
submitPortfolioTask,
|
||||
submitPortfolioEvaluateTask,
|
||||
submitPortfolioWalkforwardTask,
|
||||
submitOptimizeAllTask,
|
||||
submitOptimizeTask,
|
||||
submitMultiStrategyTask,
|
||||
@@ -187,6 +189,62 @@ export const useBacktestStore = defineStore('backtest', () => {
|
||||
error.value = ''
|
||||
}
|
||||
|
||||
// ── 组合附加分析:组合级 Walk-Forward / 一条龙评估 ────────────────────────
|
||||
const portfolioWfResult = ref<WalkForwardResult | null>(null)
|
||||
const portfolioWfRunning = ref(false)
|
||||
const portfolioWfError = ref<string>('')
|
||||
const portfolioEvaluateResult = ref<EvaluateReport | null>(null)
|
||||
const portfolioEvaluateRunning = ref(false)
|
||||
const portfolioEvaluateError = ref<string>('')
|
||||
|
||||
/** 提交组合级 WF 样本外验证后台任务并轮询(N 标的 × N 窗,比单标的慢)。 */
|
||||
async function runPortfolioWalkforward(req: PortfolioBacktestRequest, nWindows = 7) {
|
||||
portfolioWfRunning.value = true
|
||||
portfolioWfError.value = ''
|
||||
portfolioWfResult.value = null
|
||||
try {
|
||||
const { task_id } = await submitPortfolioWalkforwardTask(req, nWindows)
|
||||
const body = await pollTask<{ walkforward: WalkForwardResult }>(
|
||||
task_id,
|
||||
300_000,
|
||||
'组合 WF 验证',
|
||||
)
|
||||
portfolioWfResult.value = body.walkforward
|
||||
} catch (e) {
|
||||
portfolioWfError.value = formatError(e)
|
||||
portfolioWfResult.value = null
|
||||
} finally {
|
||||
portfolioWfRunning.value = false
|
||||
}
|
||||
}
|
||||
|
||||
/** 提交组合级一条龙评估后台任务并轮询(组合回测+WF+适配性+评分+基准对比)。 */
|
||||
async function runPortfolioEvaluate(req: PortfolioBacktestRequest) {
|
||||
portfolioEvaluateRunning.value = true
|
||||
portfolioEvaluateError.value = ''
|
||||
portfolioEvaluateResult.value = null
|
||||
try {
|
||||
const { task_id } = await submitPortfolioEvaluateTask(req)
|
||||
portfolioEvaluateResult.value = await pollTask<EvaluateReport>(
|
||||
task_id,
|
||||
600_000,
|
||||
'组合一条龙评估',
|
||||
)
|
||||
} catch (e) {
|
||||
portfolioEvaluateError.value = formatError(e)
|
||||
portfolioEvaluateResult.value = null
|
||||
} finally {
|
||||
portfolioEvaluateRunning.value = false
|
||||
}
|
||||
}
|
||||
|
||||
function clearPortfolioExtraAnalysis() {
|
||||
portfolioWfResult.value = null
|
||||
portfolioWfError.value = ''
|
||||
portfolioEvaluateResult.value = null
|
||||
portfolioEvaluateError.value = ''
|
||||
}
|
||||
|
||||
// ── 多策略组合回测(资金分仓) ─────────────────────────────────────────
|
||||
const multiStrategyResult = ref<PortfolioResult | null>(null)
|
||||
const multiStrategyRunning = ref(false)
|
||||
@@ -319,6 +377,12 @@ export const useBacktestStore = defineStore('backtest', () => {
|
||||
error,
|
||||
portfolioResult,
|
||||
portfolioRunning,
|
||||
portfolioWfResult,
|
||||
portfolioWfRunning,
|
||||
portfolioWfError,
|
||||
portfolioEvaluateResult,
|
||||
portfolioEvaluateRunning,
|
||||
portfolioEvaluateError,
|
||||
multiStrategyResult,
|
||||
multiStrategyRunning,
|
||||
optimizeResult,
|
||||
@@ -344,6 +408,9 @@ export const useBacktestStore = defineStore('backtest', () => {
|
||||
clearExtraAnalysis,
|
||||
runPortfolio,
|
||||
clearPortfolio,
|
||||
runPortfolioWalkforward,
|
||||
runPortfolioEvaluate,
|
||||
clearPortfolioExtraAnalysis,
|
||||
runMultiStrategy,
|
||||
clearMultiStrategy,
|
||||
runOptimize,
|
||||
|
||||
+19
-6
@@ -2,6 +2,8 @@
|
||||
// 与 src/easy_tdx/web/backtest_schemas.py 及 backtest router 的响应保持一致。
|
||||
// 后端是唯一事实源;这里只做类型契约。
|
||||
|
||||
import type { GradeResult } from './grading/types'
|
||||
|
||||
// ── 策略 schema(GET /api/v1/backtest/strategies) ───────────────────────────
|
||||
|
||||
export type ParamType = 'int' | 'float' | 'bool' | 'str'
|
||||
@@ -197,16 +199,27 @@ export interface PortfolioBacktestRequest {
|
||||
end_date?: string
|
||||
}
|
||||
|
||||
/** 组合整体绩效:与单标的同口径的完整指标(PerformanceAnalyzer 算出,
|
||||
* 含 SQN/最大连胜连亏等)+ 组合专属的标的数与总资金。 */
|
||||
export type PortfolioTotalPerformance = Performance & {
|
||||
total_stocks: number
|
||||
total_cash: number
|
||||
}
|
||||
|
||||
/** 组合交易明细行:单标的 Trade 附来源标的(组合层汇总成交表)。 */
|
||||
export type PortfolioTrade = Trade & { symbol: string }
|
||||
|
||||
export interface PortfolioResult {
|
||||
total_performance: {
|
||||
total_return: number
|
||||
annual_return: number
|
||||
total_stocks: number
|
||||
total_cash: number
|
||||
}
|
||||
total_performance: PortfolioTotalPerformance
|
||||
individual_results: Record<string, BacktestResult>
|
||||
equity_allocation: Record<string, number>
|
||||
combined_equity: EquityPoint[]
|
||||
/** 组合层汇总成交(各标的 concat + symbol 列;v1.31 起返回,老结果缺省) */
|
||||
trades?: PortfolioTrade[]
|
||||
/** 后端组合评级(净值曲线 5 维度口径,v1.31 起返回,老结果缺省) */
|
||||
grade?: GradeResult
|
||||
/** 后端综合评分(v1.31 起返回,老结果缺省) */
|
||||
score?: StrategyScoreReport
|
||||
}
|
||||
|
||||
// ── 参数网格寻优(Phase 4) ──────────────────────────────────────────────────
|
||||
|
||||
@@ -6,6 +6,7 @@
|
||||
import { computed, nextTick, onMounted, ref } from 'vue'
|
||||
import { useRoute } from 'vue-router'
|
||||
|
||||
import AiInterpretModal from '../components/AiInterpretModal.vue'
|
||||
import EquityChart from '../components/EquityChart.vue'
|
||||
import EvaluatePanel from '../components/EvaluatePanel.vue'
|
||||
import GradeDetails from '../components/GradeDetails.vue'
|
||||
@@ -15,11 +16,11 @@ import StrategyPicker from '../components/StrategyPicker.vue'
|
||||
import SymbolPicker from '../components/SymbolPicker.vue'
|
||||
import TradeTable from '../components/TradeTable.vue'
|
||||
import WalkForwardPanel from '../components/WalkForwardPanel.vue'
|
||||
import { formatError, saveStrategy, fetchLlmConfig, runLlmChatWithPolling } from '../api'
|
||||
import { formatError, saveStrategy } from '../api'
|
||||
import { detectMarket } from '../market'
|
||||
import { GRADE_META, gradePerformance } from '../grading'
|
||||
import { buildAiPrompt } from '../aiPrompt'
|
||||
import type { Category, ExecutionMode, LlmChatResult } from '../types'
|
||||
import type { Category, ExecutionMode } from '../types'
|
||||
import { useBacktestStore } from '../stores/backtest'
|
||||
|
||||
const store = useBacktestStore()
|
||||
@@ -202,15 +203,9 @@ async function onSave() {
|
||||
}
|
||||
|
||||
// ── AI 解读 Prompt(把当前报告组装成提示词,发给任意 LLM 解读)──────────────
|
||||
// 弹窗交互(复制/下载/直接解读)抽在 AiInterpretModal 通用组件里,
|
||||
// 与组合回测页共用;这里只负责实时组装 Prompt 与策略上下文。
|
||||
const showAiModal = ref(false)
|
||||
const aiMsg = ref('')
|
||||
// 直接解读(服务端 LLM 已配置时可用,配置见「AI 设置」页)
|
||||
const llmReady = ref(false)
|
||||
const llmLabel = ref('')
|
||||
const aiRunning = ref(false)
|
||||
const aiElapsed = ref(0)
|
||||
const aiReply = ref('')
|
||||
let aiTimer = 0
|
||||
|
||||
/** 实时组装:附加分析(WF/评估)跑完后内容自动变全 */
|
||||
const aiPromptText = computed(() => {
|
||||
@@ -235,87 +230,22 @@ const aiPromptText = computed(() => {
|
||||
})
|
||||
})
|
||||
|
||||
function openAiModal() {
|
||||
aiMsg.value = ''
|
||||
aiReply.value = ''
|
||||
showAiModal.value = true
|
||||
// 打开时探测 LLM 是否已配置(失败静默——导出 Prompt 的老路径不依赖后端)
|
||||
fetchLlmConfig()
|
||||
.then((resp) => {
|
||||
llmReady.value = resp.configured
|
||||
const p = resp.providers.find((x) => x.id === resp.config.provider)
|
||||
llmLabel.value = p ? `${p.label} · ${resp.resolved.model}` : resp.resolved.model
|
||||
})
|
||||
.catch(() => {
|
||||
llmReady.value = false
|
||||
})
|
||||
}
|
||||
/** 随解读落历史库的策略上下文(AI 解读历史页「去回测」引导用) */
|
||||
const aiContext = computed(() => ({
|
||||
strategy: strategy.value,
|
||||
strategy_label: strategyLabel.value,
|
||||
symbol: code.value,
|
||||
category: category.value,
|
||||
params: { ...params.value },
|
||||
start_date: startDate.value,
|
||||
end_date: endDate.value,
|
||||
}))
|
||||
|
||||
/** 直接解读:把组装好的 Prompt 提交为后台任务并轮询(不占 HTTP 连接)。 */
|
||||
async function runAiInterpret() {
|
||||
if (!aiPromptText.value || aiRunning.value) return
|
||||
aiRunning.value = true
|
||||
aiMsg.value = ''
|
||||
aiReply.value = ''
|
||||
// 后台任务模式:模型生成 1-3 分钟正常——显示已耗时防误判卡死
|
||||
aiElapsed.value = 0
|
||||
aiTimer = window.setInterval(() => {
|
||||
aiElapsed.value += 1
|
||||
}, 1000)
|
||||
try {
|
||||
// 策略上下文随解读落历史库(AI 解读历史页「去回测」引导用)
|
||||
const ctx = {
|
||||
strategy: strategy.value,
|
||||
strategy_label: strategyLabel.value,
|
||||
symbol: code.value,
|
||||
category: category.value,
|
||||
params: { ...params.value },
|
||||
start_date: startDate.value,
|
||||
end_date: endDate.value,
|
||||
}
|
||||
const state = await runLlmChatWithPolling(aiPromptText.value, ctx)
|
||||
// TaskState.result 是多任务类型联合,按 LLM 任务结构收窄
|
||||
const r = state.result as LlmChatResult | null
|
||||
// 后端已保证非空正文(空白正文会以 failed 上浮),前端再拦一道纯空白
|
||||
if (state.status === 'done' && r?.reply?.trim()) {
|
||||
aiReply.value = r.reply
|
||||
aiMsg.value = `✓ ${r.provider} · ${r.model} 已解读(${aiElapsed.value}s)`
|
||||
} else if (state.status === 'done') {
|
||||
aiMsg.value = '解读失败:模型返回了空正文(可能被 Max Tokens 截断),可在「AI 设置」调大后重试'
|
||||
} else {
|
||||
aiMsg.value = `解读失败:${state.error ?? '未知错误'}(可在「AI 设置」检查配置,或复制 Prompt 手动使用)`
|
||||
}
|
||||
} catch (e) {
|
||||
aiMsg.value = `解读失败:${formatError(e)}(可在「AI 设置」检查配置,或复制 Prompt 手动使用)`
|
||||
} finally {
|
||||
window.clearInterval(aiTimer)
|
||||
aiRunning.value = false
|
||||
}
|
||||
}
|
||||
|
||||
async function copyAiPrompt() {
|
||||
try {
|
||||
await navigator.clipboard.writeText(aiPromptText.value)
|
||||
aiMsg.value = '✓ 已复制,粘贴给任意 AI 助手即可'
|
||||
} catch {
|
||||
// 剪贴板 API 不可用时退回选中文本,让用户手动 Ctrl+C
|
||||
const el = document.querySelector<HTMLTextAreaElement>('.ai-prompt-area')
|
||||
el?.focus()
|
||||
el?.select()
|
||||
aiMsg.value = document.execCommand('copy') ? '✓ 已复制' : '已全选文本,请按 Ctrl+C 复制'
|
||||
}
|
||||
}
|
||||
|
||||
function downloadAiPrompt() {
|
||||
const blob = new Blob([aiPromptText.value], { type: 'text/markdown;charset=utf-8' })
|
||||
const url = URL.createObjectURL(blob)
|
||||
const a = document.createElement('a')
|
||||
a.href = url
|
||||
a.download = `AI解读_${code.value}_${strategy.value}.md`
|
||||
a.click()
|
||||
URL.revokeObjectURL(url)
|
||||
aiMsg.value = '✓ 已下载 .md 文件'
|
||||
}
|
||||
const aiTip = computed(() =>
|
||||
wfEnabled.value || evaluateEnabled.value
|
||||
? '建议等附加分析跑完再发,Walk-Forward / 一条龙评估的数据会一并打包。'
|
||||
: undefined,
|
||||
)
|
||||
</script>
|
||||
|
||||
<template>
|
||||
@@ -415,7 +345,7 @@ function downloadAiPrompt() {
|
||||
<div v-if="store.result" class="report-content">
|
||||
<div class="result-toolbar">
|
||||
<button class="ghost" @click="openSaveForm">💾 保存策略</button>
|
||||
<button class="ghost" @click="openAiModal">🤖 AI 解读</button>
|
||||
<button class="ghost" @click="showAiModal = true">🤖 AI 解读</button>
|
||||
<span v-if="saveMsg" class="save-msg">{{ saveMsg }}</span>
|
||||
</div>
|
||||
|
||||
@@ -502,51 +432,15 @@ function downloadAiPrompt() {
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- AI 解读 Prompt 对话框 -->
|
||||
<div v-if="showAiModal" class="modal-overlay" @click.self="showAiModal = false">
|
||||
<div class="modal modal-wide">
|
||||
<h3>🤖 AI 解读</h3>
|
||||
<p class="modal-desc">
|
||||
已把当前回测报告组装成提示词。
|
||||
<template v-if="llmReady">
|
||||
点击「直接解读」发送给已配置的模型({{ llmLabel }}),
|
||||
</template>
|
||||
<template v-else>
|
||||
在「AI 设置」页配置模型后可一键直接解读;也可
|
||||
</template>
|
||||
复制后发给任意 AI 助手(ChatGPT / Claude / DeepSeek / 豆包…)。
|
||||
<template v-if="wfEnabled || evaluateEnabled">
|
||||
建议等附加分析跑完再发,Walk-Forward / 一条龙评估的数据会一并打包。
|
||||
</template>
|
||||
</p>
|
||||
<textarea
|
||||
:value="aiPromptText"
|
||||
class="ai-prompt-area"
|
||||
:class="{ collapsed: !!aiReply }"
|
||||
readonly
|
||||
:rows="aiReply ? 6 : 16"
|
||||
spellcheck="false"
|
||||
></textarea>
|
||||
<div v-if="aiReply" class="ai-reply">{{ aiReply }}</div>
|
||||
<div v-if="aiReply" class="ai-note">
|
||||
以上解读由 AI 模型生成,可能存在错误或过时信息,仅供参考,不构成投资建议。
|
||||
</div>
|
||||
<span v-if="aiMsg" class="ai-msg">{{ aiMsg }}</span>
|
||||
<div class="modal-actions">
|
||||
<button class="ghost" @click="showAiModal = false">关闭</button>
|
||||
<button class="ghost" @click="downloadAiPrompt">⬇ 下载 .md</button>
|
||||
<button class="ghost" @click="copyAiPrompt">复制 Prompt</button>
|
||||
<button
|
||||
v-if="llmReady"
|
||||
class="primary"
|
||||
:disabled="aiRunning || !aiPromptText"
|
||||
@click="runAiInterpret"
|
||||
>
|
||||
{{ aiRunning ? `解读中… ${aiElapsed}s` : '✨ 直接解读' }}
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<!-- AI 解读 Prompt 对话框(单标的/组合通用组件) -->
|
||||
<AiInterpretModal
|
||||
v-if="showAiModal && store.result"
|
||||
:prompt="aiPromptText"
|
||||
:filename="`AI解读_${code}_${strategy}.md`"
|
||||
:context="aiContext"
|
||||
:tip="aiTip"
|
||||
@close="showAiModal = false"
|
||||
/>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
@@ -784,50 +678,4 @@ function downloadAiPrompt() {
|
||||
opacity: 0.5;
|
||||
cursor: default;
|
||||
}
|
||||
|
||||
/* AI 解读 Prompt 对话框(比保存对话框更宽,内容等宽小字可滚动) */
|
||||
.modal-wide {
|
||||
width: 640px;
|
||||
}
|
||||
.ai-prompt-area {
|
||||
font-family: var(--font-mono);
|
||||
font-size: 11.5px;
|
||||
line-height: 1.6;
|
||||
white-space: pre;
|
||||
overflow: auto;
|
||||
max-height: 55vh;
|
||||
background: var(--bg);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius);
|
||||
padding: 10px 12px;
|
||||
color: var(--text-muted);
|
||||
resize: vertical;
|
||||
}
|
||||
/* 直接解读出结果后 Prompt 区收窄,把版面让给回复 */
|
||||
.ai-prompt-area.collapsed {
|
||||
max-height: 18vh;
|
||||
}
|
||||
.ai-reply {
|
||||
margin-top: 8px;
|
||||
max-height: 38vh;
|
||||
overflow: auto;
|
||||
background: var(--bg-elevated);
|
||||
border: 1px solid var(--border);
|
||||
border-left: 3px solid var(--accent);
|
||||
border-radius: var(--radius);
|
||||
padding: 10px 12px;
|
||||
font-size: 13px;
|
||||
line-height: 1.7;
|
||||
white-space: pre-wrap;
|
||||
word-break: break-word;
|
||||
}
|
||||
.ai-msg {
|
||||
font-size: 12px;
|
||||
color: var(--up);
|
||||
}
|
||||
.ai-note {
|
||||
margin-top: 4px;
|
||||
font-size: 11px;
|
||||
color: var(--warn, #ffc107);
|
||||
}
|
||||
</style>
|
||||
|
||||
@@ -1,18 +1,26 @@
|
||||
<script setup lang="ts">
|
||||
// 组合回测主页面:左配置(多标的 + 策略 + 日期)/ 右报告(组合净值 + 各标的对比)。
|
||||
// 组合回测主页面:左配置(多标的 + 策略 + 日期 + 附加分析)/ 右报告
|
||||
// (组合净值 + 完整绩效指标 + 各标的对比 + 附加分析 WF/一条龙 + 成交明细 + AI 解读)。
|
||||
// 附加分析与单标的回测页(BacktestView)同构:勾选后随「开始组合回测」并行运行。
|
||||
|
||||
import { computed, nextTick, onMounted, ref } from 'vue'
|
||||
import { useRoute } from 'vue-router'
|
||||
|
||||
import AiInterpretModal from '../components/AiInterpretModal.vue'
|
||||
import EquityChart from '../components/EquityChart.vue'
|
||||
import EvaluatePanel from '../components/EvaluatePanel.vue'
|
||||
import GradeDetails from '../components/GradeDetails.vue'
|
||||
import MetricTable from '../components/MetricTable.vue'
|
||||
import PortfolioCompareChart from '../components/PortfolioCompareChart.vue'
|
||||
import PortfolioSummaryTable from '../components/PortfolioSummaryTable.vue'
|
||||
import StocksPicker from '../components/StocksPicker.vue'
|
||||
import StrategyPicker from '../components/StrategyPicker.vue'
|
||||
import TradeTable from '../components/TradeTable.vue'
|
||||
import WalkForwardPanel from '../components/WalkForwardPanel.vue'
|
||||
import { formatError, saveStrategy } from '../api'
|
||||
import { gradePortfolio } from '../grading'
|
||||
import type { Category, ExecutionMode } from '../types'
|
||||
import { buildPortfolioAiPrompt } from '../aiPrompt'
|
||||
import { GRADE_META, gradePortfolio } from '../grading'
|
||||
import type { Category, ExecutionMode, PortfolioTrade } from '../types'
|
||||
import { useBacktestStore } from '../stores/backtest'
|
||||
|
||||
const store = useBacktestStore()
|
||||
@@ -41,6 +49,11 @@ function isoDaysFromNow(days: number): string {
|
||||
const startDate = ref('2020-01-06')
|
||||
const endDate = ref(isoDaysFromNow(0))
|
||||
|
||||
// 附加分析开关(与单标的回测页同构):组合级 WF / 一条龙评估
|
||||
const wfEnabled = ref(false)
|
||||
const wfWindows = ref(7)
|
||||
const evaluateEnabled = ref(false)
|
||||
|
||||
onMounted(async () => {
|
||||
store.loadStrategies().catch((e) => {
|
||||
store.error = `加载策略列表失败:${e instanceof Error ? e.message : e}`
|
||||
@@ -75,8 +88,8 @@ onMounted(async () => {
|
||||
if (qCategory) category.value = qCategory
|
||||
})
|
||||
|
||||
async function onRun() {
|
||||
await store.runPortfolio({
|
||||
function currentRequest() {
|
||||
return {
|
||||
strategy: strategy.value,
|
||||
params: params.value,
|
||||
cash: cash.value,
|
||||
@@ -85,7 +98,20 @@ async function onRun() {
|
||||
category: category.value,
|
||||
start_date: startDate.value,
|
||||
end_date: endDate.value,
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
async function onRun() {
|
||||
store.error = ''
|
||||
store.clearPortfolioExtraAnalysis()
|
||||
// 1. 主组合回测(后端返回完整 25 项指标 + grade/score)
|
||||
await store.runPortfolio(currentRequest())
|
||||
// 2. 附加分析:勾选的组合级 WF / 一条龙并行跑(互不阻塞,各自独立错误提示)
|
||||
if (!store.portfolioResult) return
|
||||
const jobs: Promise<void>[] = []
|
||||
if (wfEnabled.value) jobs.push(store.runPortfolioWalkforward(currentRequest(), wfWindows.value))
|
||||
if (evaluateEnabled.value) jobs.push(store.runPortfolioEvaluate(currentRequest()))
|
||||
await Promise.allSettled(jobs)
|
||||
}
|
||||
|
||||
// ── 保存策略(把当前组合结果 + 配置 + 上下文存进策略库)──────────────────────
|
||||
@@ -100,8 +126,8 @@ const strategyLabel = computed(
|
||||
() => store.strategies.find((s) => s.name === strategy.value)?.label ?? strategy.value,
|
||||
)
|
||||
|
||||
// 组合评级:从 combined_equity 重算夏普/卡玛/波动率等(组合级净值算不出胜率/利润因子),
|
||||
// 用 5 维度评分。净值点数过少(< 60 个交易日)视为样本不足。
|
||||
// 组合评级:从 combined_equity 重算夏普/卡玛/波动率等(组合级 5 维度口径,
|
||||
// 与后端 grade_portfolio_equity 一致)。净值点数过少(< 60 个交易日)视为样本不足。
|
||||
const grade = computed(() =>
|
||||
store.portfolioResult ? gradePortfolio(store.portfolioResult) : null,
|
||||
)
|
||||
@@ -155,6 +181,62 @@ async function onSave() {
|
||||
saving.value = false
|
||||
}
|
||||
}
|
||||
|
||||
// ── AI 解读(与单标的回测页共用 AiInterpretModal)────────────────────────────
|
||||
const showAiModal = ref(false)
|
||||
|
||||
const aiPromptText = computed(() => {
|
||||
if (!store.portfolioResult) return ''
|
||||
return buildPortfolioAiPrompt({
|
||||
stocks: stocks.value,
|
||||
category: category.value,
|
||||
startDate: startDate.value,
|
||||
endDate: endDate.value,
|
||||
strategyLabel: strategyLabel.value,
|
||||
params: params.value,
|
||||
cash: cash.value,
|
||||
commission: 0.0003,
|
||||
slippage: 0,
|
||||
execution: execution.value,
|
||||
result: store.portfolioResult,
|
||||
wf: store.portfolioWfResult,
|
||||
evaluate: store.portfolioEvaluateResult,
|
||||
grade: grade.value,
|
||||
gradeHint: grade.value ? GRADE_META[grade.value.grade].hint : undefined,
|
||||
})
|
||||
})
|
||||
|
||||
/** 随解读落历史库的策略上下文(历史页「去回测」引导用) */
|
||||
const aiContext = computed(() => ({
|
||||
strategy: strategy.value,
|
||||
strategy_label: strategyLabel.value,
|
||||
kind: 'portfolio',
|
||||
symbol: stocks.value.join(','),
|
||||
category: category.value,
|
||||
params: { ...params.value },
|
||||
start_date: startDate.value,
|
||||
end_date: endDate.value,
|
||||
}))
|
||||
|
||||
const aiTip = computed(() =>
|
||||
wfEnabled.value || evaluateEnabled.value
|
||||
? '建议等附加分析跑完再发,Walk-Forward / 一条龙评估的数据会一并打包。'
|
||||
: undefined,
|
||||
)
|
||||
|
||||
// ── 组合成交明细(各标的汇总,按时间倒序)────────────────────────────────────
|
||||
const TRADES_SHOW_LIMIT = 200
|
||||
const portfolioTrades = computed<PortfolioTrade[]>(() => {
|
||||
const r = store.portfolioResult
|
||||
if (!r) return []
|
||||
// 优先用后端汇总的成交表;老结果无该字段时从 individual_results 客户端汇总
|
||||
const rows: PortfolioTrade[] = r.trades
|
||||
? [...r.trades]
|
||||
: Object.entries(r.individual_results).flatMap(([symbol, res]) =>
|
||||
res.trades.map((t) => ({ ...t, symbol })),
|
||||
)
|
||||
return rows.sort((a, b) => String(b.datetime).localeCompare(String(a.datetime)))
|
||||
})
|
||||
</script>
|
||||
|
||||
<template>
|
||||
@@ -210,12 +292,45 @@ async function onSave() {
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section class="panel-section">
|
||||
<h3>附加分析</h3>
|
||||
<div class="check-row">
|
||||
<label
|
||||
class="check-label"
|
||||
title="按全部标的日期并集切窗,每窗各标的独立回测后合成组合净值,检验跨时段稳定性"
|
||||
>
|
||||
<input v-model="wfEnabled" type="checkbox" />
|
||||
<span>Walk-Forward 样本外验证</span>
|
||||
</label>
|
||||
<span v-if="wfEnabled" class="wf-windows">
|
||||
窗口数
|
||||
<input v-model.number="wfWindows" type="number" min="2" max="12" step="1" />
|
||||
</span>
|
||||
</div>
|
||||
<div class="check-row">
|
||||
<label
|
||||
class="check-label"
|
||||
title="组合回测+组合WF+跨标的适配性体检+综合评分+等权买入持有基准对比,一份报告"
|
||||
>
|
||||
<input v-model="evaluateEnabled" type="checkbox" />
|
||||
<span>一条龙评估</span>
|
||||
</label>
|
||||
</div>
|
||||
<p class="extra-hint">勾选后随「开始组合回测」自动附加运行(标的越多越慢)</p>
|
||||
</section>
|
||||
|
||||
<button
|
||||
class="primary run-btn"
|
||||
:disabled="store.portfolioRunning || stocks.length === 0"
|
||||
:disabled="
|
||||
store.portfolioRunning || store.portfolioWfRunning || store.portfolioEvaluateRunning || stocks.length === 0
|
||||
"
|
||||
@click="onRun"
|
||||
>
|
||||
{{ store.portfolioRunning ? '组合回测中…' : '开始组合回测' }}
|
||||
{{
|
||||
store.portfolioRunning || store.portfolioWfRunning || store.portfolioEvaluateRunning
|
||||
? '组合回测中…'
|
||||
: '开始组合回测'
|
||||
}}
|
||||
</button>
|
||||
</aside>
|
||||
|
||||
@@ -232,6 +347,7 @@ async function onSave() {
|
||||
<div v-if="store.portfolioResult" class="report-content">
|
||||
<div class="result-toolbar">
|
||||
<button class="ghost" @click="openSaveForm">💾 保存策略</button>
|
||||
<button class="ghost" @click="showAiModal = true">🤖 AI 解读</button>
|
||||
<span v-if="saveMsg" class="save-msg">{{ saveMsg }}</span>
|
||||
</div>
|
||||
|
||||
@@ -252,6 +368,15 @@ async function onSave() {
|
||||
{{ (store.portfolioResult.total_performance.total_return * 100).toFixed(2) }}%
|
||||
</span>
|
||||
</div>
|
||||
<div class="perf-item">
|
||||
<span class="label">年化收益</span>
|
||||
<span
|
||||
class="value"
|
||||
:class="store.portfolioResult.total_performance.annual_return > 0 ? 'pos' : 'neg'"
|
||||
>
|
||||
{{ (store.portfolioResult.total_performance.annual_return * 100).toFixed(2) }}%
|
||||
</span>
|
||||
</div>
|
||||
<div class="perf-item">
|
||||
<span class="label">标的数量</span>
|
||||
<span class="value">{{ store.portfolioResult.total_performance.total_stocks }}</span>
|
||||
@@ -263,11 +388,52 @@ async function onSave() {
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- 附加分析:组合级 Walk-Forward(v1.31,与单标的同构面板) -->
|
||||
<section
|
||||
v-if="store.portfolioWfRunning || store.portfolioWfResult || store.portfolioWfError"
|
||||
class="report-section"
|
||||
>
|
||||
<h3>Walk-Forward 样本外验证</h3>
|
||||
<p v-if="store.portfolioWfRunning" class="loading-text">
|
||||
验证中…(标的数 × 窗口数 次回测,约需十几秒)
|
||||
</p>
|
||||
<div v-else-if="store.portfolioWfError" class="error-banner">
|
||||
⚠ {{ store.portfolioWfError }}
|
||||
</div>
|
||||
<WalkForwardPanel v-else-if="store.portfolioWfResult" :wf="store.portfolioWfResult" />
|
||||
</section>
|
||||
|
||||
<!-- 附加分析:组合级一条龙评估(v1.31,与单标的同构面板) -->
|
||||
<section
|
||||
v-if="
|
||||
store.portfolioEvaluateRunning || store.portfolioEvaluateResult || store.portfolioEvaluateError
|
||||
"
|
||||
class="report-section"
|
||||
>
|
||||
<h3>一条龙评估</h3>
|
||||
<p v-if="store.portfolioEvaluateRunning" class="loading-text">
|
||||
评估中…(组合回测 + 组合WF + 跨标的适配性 + 基准对比,可能需要一两分钟)
|
||||
</p>
|
||||
<div v-else-if="store.portfolioEvaluateError" class="error-banner">
|
||||
⚠ {{ store.portfolioEvaluateError }}
|
||||
</div>
|
||||
<EvaluatePanel
|
||||
v-else-if="store.portfolioEvaluateResult"
|
||||
:report="store.portfolioEvaluateResult"
|
||||
:grade-override="grade"
|
||||
/>
|
||||
</section>
|
||||
|
||||
<section class="report-section">
|
||||
<h3>组合净值曲线</h3>
|
||||
<EquityChart :equity="store.portfolioResult.combined_equity" />
|
||||
</section>
|
||||
|
||||
<section class="report-section">
|
||||
<h3>组合绩效指标</h3>
|
||||
<MetricTable :perf="store.portfolioResult.total_performance" />
|
||||
</section>
|
||||
|
||||
<section class="report-section">
|
||||
<h3>各标的绩效对比</h3>
|
||||
<PortfolioSummaryTable
|
||||
@@ -280,6 +446,17 @@ async function onSave() {
|
||||
<h3>各标的净值叠加(归一化)</h3>
|
||||
<PortfolioCompareChart :results="store.portfolioResult.individual_results" />
|
||||
</section>
|
||||
|
||||
<section class="report-section">
|
||||
<h3>组合成交明细({{ portfolioTrades.length }} 笔,按时间倒序)</h3>
|
||||
<p v-if="portfolioTrades.length > TRADES_SHOW_LIMIT" class="loading-text">
|
||||
仅显示最近 {{ TRADES_SHOW_LIMIT }} 笔,导出请用「对比分析」页的任务导出
|
||||
</p>
|
||||
<TradeTable
|
||||
:trades="portfolioTrades.slice(0, TRADES_SHOW_LIMIT)"
|
||||
show-symbol
|
||||
/>
|
||||
</section>
|
||||
</div>
|
||||
</main>
|
||||
|
||||
@@ -318,6 +495,16 @@ async function onSave() {
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- AI 解读 Prompt 对话框(单标的/组合通用组件) -->
|
||||
<AiInterpretModal
|
||||
v-if="showAiModal && store.portfolioResult"
|
||||
:prompt="aiPromptText"
|
||||
:filename="`AI解读_组合${stocks.length}只_${strategy}.md`"
|
||||
:context="aiContext"
|
||||
:tip="aiTip"
|
||||
@close="showAiModal = false"
|
||||
/>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
@@ -351,6 +538,53 @@ async function onSave() {
|
||||
color: var(--text-dim);
|
||||
font-size: 12px;
|
||||
}
|
||||
/* 附加分析开关:勾选框靠左、文字单行不折行,窗口数同行跟排(与回测页一致) */
|
||||
.check-row {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
flex-wrap: nowrap;
|
||||
gap: 6px;
|
||||
margin-bottom: 8px;
|
||||
min-width: 0;
|
||||
}
|
||||
.check-label {
|
||||
display: inline-flex; /* 覆盖全局 label { display: block } */
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
margin-bottom: 0;
|
||||
font-size: 12px;
|
||||
color: var(--text);
|
||||
cursor: pointer;
|
||||
white-space: nowrap;
|
||||
}
|
||||
.check-label input[type='checkbox'] {
|
||||
width: auto;
|
||||
flex-shrink: 0;
|
||||
margin: 0;
|
||||
accent-color: var(--accent, #4a9eff);
|
||||
}
|
||||
.wf-windows {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
font-size: 12px;
|
||||
color: var(--text-dim);
|
||||
white-space: nowrap;
|
||||
}
|
||||
.wf-windows input {
|
||||
width: 44px;
|
||||
padding: 3px 6px;
|
||||
background: var(--bg);
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius);
|
||||
font-size: 12px;
|
||||
color: var(--text);
|
||||
}
|
||||
.extra-hint {
|
||||
font-size: 11px;
|
||||
color: var(--text-dim);
|
||||
margin: 2px 0 0;
|
||||
}
|
||||
.run-btn {
|
||||
width: 100%;
|
||||
padding: 10px;
|
||||
@@ -393,6 +627,7 @@ async function onSave() {
|
||||
.perf-summary {
|
||||
display: flex;
|
||||
gap: 32px;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
.perf-item {
|
||||
display: flex;
|
||||
|
||||
Reference in New Issue
Block a user