90 lines
4.6 KiB
Python
90 lines
4.6 KiB
Python
# -*- coding: utf-8 -*-
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"""前端追加「量化推荐」区（筛选按钮 + 事件渲染 + 表格 + 权重展示）"""
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import io
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p = r'src\web\index.html'
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s = io.open(p, encoding='utf-8').read()
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# 1) 筛选按钮
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old1 = ' <button data-f="事件影响分析">事件影响</button>'
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new1 = (old1 + '\n <button data-f="量化推荐">量化推荐</button>\n'
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' <button data-f="模型微调">微调</button>')
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assert old1 in s, 'filters not found'
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s = s.replace(old1, new1)
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# 2) 主区追加量化推荐表格
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old2 = ' <ul id="feed"><li class="empty">等待服务端推送…</li></ul>\n</main>'
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new2 = (' <ul id="feed"><li class="empty">等待服务端推送…</li></ul>\n</main>\n'
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'<section style="max-width:1100px;margin:0 auto 30px">\n'
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' <h2 style="font-size:15px;color:var(--text)">量化模型 · 自适应推荐'
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'（多因子 + IC 微调）</h2>\n'
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' <div style="font-size:12px;color:var(--text2);margin-bottom:8px">'
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'权重：<span id="qw">加载中…</span></div>\n'
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' <div style="background:var(--surface);border:1px solid var(--border);'
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'border-radius:8px;overflow:auto">\n'
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' <table style="width:100%;border-collapse:collapse;font-size:13px" id="qtable">\n'
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' <thead><tr style="color:var(--text2);text-align:left">\n'
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' <th style="padding:8px 10px">代码</th><th style="padding:8px 10px">名称</th>\n'
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' <th style="padding:8px 10px">现价</th><th style="padding:8px 10px">模型分</th>\n'
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' <th style="padding:8px 10px">购入区间</th>'
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'<th style="padding:8px 10px">预计收益(回测口径)</th>\n'
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' <th style="padding:8px 10px">推荐指数</th>'
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'<th style="padding:8px 10px">简易原因</th>\n'
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' </tr></thead><tbody></tbody>\n'
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' </table>\n'
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' </div>\n'
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' <div style="margin-top:6px;font-size:11px;color:#6b7280">'
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'⚠ 购入区间与预计收益为模型回测/推测口径，不构成投资建议。</div>\n'
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'</section>')
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assert old2 in s, 'feed ul not found'
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s = s.replace(old2, new2)
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# 3) WS 事件渲染分支（量化推荐）
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old3 = (" } else {\n"
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" const txt = typeof d === 'object' ? JSON.stringify(d) : String(d)\n"
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" li.innerHTML = `<span class=\"t\">${e.ts}</span><span class=\"k ${e.kind}\">${e.kind}"
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"</span><span class=\"d\">${esc(txt)}</span>`\n }")
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new3 = (" } else if (e.kind === '量化推荐') {\n"
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" renderQuant(e.data)\n"
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" const txt = '自适应模型推送 ' + ((d.list || []).length) + ' 只推荐'\n"
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" li.innerHTML = `<span class=\"t\">${e.ts}</span><span class=\"k ${e.kind}\">${e.kind}"
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"</span><span class=\"d\">${esc(txt)}</span>`\n"
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" } else {\n"
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" const txt = typeof d === 'object' ? JSON.stringify(d) : String(d)\n"
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" li.innerHTML = `<span class=\"t\">${e.ts}</span><span class=\"k ${e.kind}\">${e.kind}"
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"</span><span class=\"d\">${esc(txt)}</span>`\n }")
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assert old3 in s, 'render branch not found'
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s = s.replace(old3, new3)
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# 4) 渲染函数与加载
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old4 = 'connect()'
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new4 = (
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"function renderQuant(d) {\n"
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" const tb = document.querySelector('#qtable tbody')\n"
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" if (!tb) return\n"
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" tb.innerHTML = (d.list || []).map(r =>\n"
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" '<tr><td style=\"padding:6px 10px\">' + esc(r.code) + '</td>' +\n"
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" '<td style=\"padding:6px 10px\">' + esc(r.name) + '</td>' +\n"
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" '<td style=\"padding:6px 10px\">' + r.price + '</td>' +\n"
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" '<td style=\"padding:6px 10px\">' + r.score + '</td>' +\n"
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" '<td style=\"padding:6px 10px\">' + r.buy_low + ' ~ ' + r.buy_high + '</td>' +\n"
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" '<td style=\"padding:6px 10px\">' + (r.expected_return_pct == null ? '—' : r.expected_return_pct + '%') + '</td>' +\n"
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" '<td style=\"padding:6px 10px\" class=\"stars\">' + '★'.repeat(r.stars) + '</td>' +\n"
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" '<td style=\"padding:6px 10px\">' + esc(r.reason) + '</td></tr>').join('')\n"
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"}\n"
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"function loadQuant() {\n"
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" fetch('/api/quant/recommendations').then(r => r.json()).then(renderQuant).catch(() => {})\n"
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" fetch('/api/quant/weights').then(r => r.json()).then(w => {\n"
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" document.getElementById('qw').textContent =\n"
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" Object.entries(w || {}).map(([k, v]) => k + '=' + Number(v).toFixed(2)).join(' ') || '—'\n"
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" }).catch(() => {})\n"
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"}\n"
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"loadQuant()\n"
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"setInterval(loadQuant, 60000)\n"
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"connect()")
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assert old4 in s
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s = s.replace(old4, new4, 1)
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io.open(p, 'w', encoding='utf-8').write(s)
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print('index.html 量化推荐区 OK')
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