Polish public advisory page

Author: Pigbibi

src/quant_advisor_research/advisory_report.py

@@ -139,6 +139,21 @@
     },
 }
 
+COMPANY_RISKS_ZH = {
+    "AMD": "主要风险是 AI 加速器竞争强、客户订单兑现不及预期、毛利率波动，以及股价快速上涨后的回撤风险。",
+    "AVGO": "主要风险是云厂商资本开支节奏放缓、定制芯片订单集中、软件整合不及预期，以及估值对 AI 需求预期较敏感。",
+    "COIN": "主要风险是加密资产价格和交易量波动大、监管规则变化、手续费率下行，以及平台合规成本上升。",
+    "CVX": "主要风险是油气价格回落、项目资本开支超预期、地缘政治和政策变化，以及能源股周期性回撤。",
+    "DELL": "主要风险是 AI 服务器利润率偏低、订单转收入节奏不稳定、企业硬件需求周期波动，以及股价已反映较高增长预期。",
+    "INTC": "主要风险是晶圆代工转型执行难度高、资本开支和现金流压力大、先进制程追赶不及预期，以及竞争格局仍然激烈。",
+    "MSTR": "主要风险是比特币价格大幅波动、融资环境变化、资产净值溢价收缩，以及监管规则变化。",
+    "MU": "主要风险是存储周期反转、HBM 供需和价格不及预期、客户集中度较高，以及强动量后的估值和回撤压力。",
+    "NEE": "主要风险是利率上行压制公用事业估值、电网和新能源项目审批延迟、资本开支压力，以及电力需求兑现慢于预期。",
+    "TSM": "主要风险是先进制程资本开支高、客户需求周期波动、地缘政治风险，以及 AI 芯片需求预期过高。",
+    "VRT": "主要风险是数据中心建设节奏放缓、订单转收入和交付能力不及预期、液冷竞争加剧，以及估值已反映较高成长预期。",
+    "XOM": "主要风险是油气价格回落、炼化利润收缩、地缘政治和政策变化，以及能源股周期性回撤。",
+}
+
 EXCLUDED_THEME_PICK_SYMBOLS = {
     "DIA",
     "IWM",
@@ -337,6 +352,14 @@ def company_profile(symbol: Any, name: Any = "") -> dict[str, str]:
     }
 
 
+def company_risk_summary(symbol: Any) -> str:
+    symbol_text = str(symbol or "").upper()
+    return COMPANY_RISKS_ZH.get(
+        symbol_text,
+        "主要风险是行业需求不及预期、估值对增长假设较敏感、业绩兑现延后，以及股价波动带来的回撤。",
+    )
+
+
 def normalize_ai_mapping(mapping: Any) -> dict[str, Any]:
     if not isinstance(mapping, dict):
         return {}
@@ -925,7 +948,7 @@ def build_final_decisions(
                 "business_summary": profile["business"],
                 "prospect_summary": profile["prospect"],
                 "why_selected": dedupe(reasons),
-                "risk_summary": rec.get("risk_notes", ["需复核估值、财报、回撤和流动性。"])[0] if rec else "需复核估值、财报、回撤和流动性。",
+                "risk_summary": company_risk_summary(symbol),
             }
         )
 
@@ -1054,26 +1077,11 @@ def build_advisory_report(
 def render_markdown(report: dict[str, Any]) -> str:
     cadence_label = CADENCE_LABELS_ZH.get(str(report["cadence"]), str(report["cadence"]).title())
     lines = [
-        f"# 量化模型推荐{cadence_label}复盘",
-        "",
-        f"- 日期: `{report['as_of']}`",
-        f"- 模式: `{report['mode']}`",
-        f"- 受众: `{report['audience_scope']}`",
-        f"- AI 状态: `{report['summary']['ai_regime']}`",
-        "",
-        "## 政策边界",
-        "",
-        "- 允许下单: `false`",
-        "- 允许组合配置: `false`",
-        "- 允许个性化建议: `false`",
-        "- 允许非个性化模型推荐: `true`",
-        "- 允许账户级建议: `false`",
+        f"# 量化模型推荐{cadence_label}复盘 - {report['as_of']}",
         "",
     ]
     final_decisions = report.get("final_decisions", {})
     if final_decisions:
-        lines.extend(["## 本期最终结论", ""])
-        lines.append("- 口径: 以 AI信号仓库（AiLongHorizonSignalPipelines）和动量为主，政策/新闻事件用于提高置信度和提示风险。")
         horizon_buckets = final_decisions.get("horizon_buckets", {})
         for horizon, label in (("short", "短线"), ("medium", "中线"), ("long", "长线")):
             symbols = ", ".join(horizon_buckets.get(horizon, [])) or "暂无最终推荐"

src/quant_advisor_research/notifications.py

@@ -29,8 +29,8 @@ def _format_final_decisions(report: dict[str, Any]) -> list[str]:
     decisions = report.get("final_decisions", {})
     picks = decisions.get("recommendations", [])
     if not picks:
-        return ["本期最终推荐：暂无（口径：AI信号仓库 + 动量为主，政策/新闻辅助）"]
-    lines = ["本期最终推荐（AI信号仓库 + 动量为主，政策/新闻辅助）："]
+        return ["本期最终推荐：暂无"]
+    lines = ["本期最终推荐："]
     for item in picks:
         lines.append(
             "- {symbol} | {horizon} | 综合分={score} | 股票背景：{business}".format(
@@ -102,17 +102,11 @@ def format_telegram_message(
     max_recommendations: int = 8,
     max_themes: int = 5,
 ) -> str:
-    summary = report.get("summary", {})
     lines = [
         f"量化模型推荐 | {cadence_label(report)} | {report.get('as_of', '')}",
         "",
-        f"模式：{report.get('mode', '')}",
-        f"来源：{summary.get('source_mode', 'unknown')}",
-        f"来源事件：{summary.get('source_event_count', 0)}",
-        "",
         *_format_final_decisions(report),
         "",
-        "说明：非个性化模型输出；不包含下单、仓位配置或账户级建议。",
         f"完整报告：{report_public_url(report, site_url=site_url)}",
     ]
     return "\n".join(str(line) for line in lines if line is not None)

src/quant_advisor_research/publisher.py

@@ -111,11 +111,8 @@ def render_final_decisions_html(report: dict[str, Any]) -> str:
             """
         )
 
-    final_intro = "、".join(str(pick.get("symbol", "")) for pick in final_picks) or "暂无"
     return f"""
     <section class="final-decisions">
-      <h2>本期最终结论</h2>
-      <p><strong>最终推荐：</strong>{html.escape(final_intro)}。合成口径以 AI信号仓库（AiLongHorizonSignalPipelines）和动量为主，政策/新闻事件用于提高置信度和提示风险。</p>
       <ul class="horizon-list">{''.join(horizon_rows)}</ul>
       <div class="final-grid">{''.join(cards)}</div>
     </section>
@@ -221,19 +218,16 @@ def render_report_html(report: dict[str, Any]) -> str:
     :root {{ color-scheme: light; font-family: Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; }}
     body {{ margin: 0; background: #f6f7f9; color: #1b1f24; }}
     main {{ max-width: 1080px; margin: 0 auto; padding: 32px 20px 56px; }}
-    .hero {{ border-bottom: 1px solid #d8dee4; padding-bottom: 20px; margin-bottom: 24px; }}
-    h1 {{ margin: 0 0 12px; font-size: 2rem; line-height: 1.2; }}
-    .meta {{ display: flex; flex-wrap: wrap; gap: 10px; color: #57606a; }}
-    .pill {{ border: 1px solid #d0d7de; border-radius: 999px; padding: 5px 10px; background: #fff; }}
-    .policy {{ background: #fff7ed; border: 1px solid #fed7aa; padding: 14px 16px; margin-bottom: 20px; }}
+    .hero {{ text-align: center; padding: 8px 0 22px; margin-bottom: 10px; }}
+    h1 {{ margin: 0; font-size: clamp(2rem, 5vw, 3.25rem); line-height: 1.15; letter-spacing: -0.04em; }}
     .warning {{ background: #fff1f2; border: 1px solid #fecdd3; padding: 14px 16px; margin-bottom: 20px; }}
-    .final-decisions {{ background: #ecfeff; border: 1px solid #67e8f9; padding: 16px; margin-bottom: 20px; border-radius: 8px; }}
-    .final-decisions > p {{ color: #334155; line-height: 1.55; }}
-    .horizon-list {{ background: #fff; border: 1px solid #bae6fd; border-radius: 8px; padding: 12px 16px 12px 32px; }}
-    .final-grid {{ display: grid; grid-template-columns: repeat(auto-fit, minmax(320px, 1fr)); gap: 14px; }}
-    .final-card {{ background: #fff; border: 1px solid #67e8f9; border-radius: 8px; padding: 16px; }}
-    .final-card h3 {{ margin: 0; font-size: 1.2rem; }}
-    .final-card h3 span {{ font-size: .85rem; color: #0f766e; margin-left: 8px; }}
+    .final-decisions {{ margin-bottom: 20px; }}
+    .horizon-list {{ display: grid; grid-template-columns: repeat(auto-fit, minmax(220px, 1fr)); gap: 10px; list-style: none; padding: 0; margin: 0 0 22px; }}
+    .horizon-list li {{ background: #fff; border: 1px solid #d8dee4; border-radius: 12px; padding: 12px 14px; }}
+    .final-grid {{ display: grid; grid-template-columns: repeat(auto-fit, minmax(320px, 1fr)); gap: 16px; }}
+    .final-card {{ background: #fff; border: 1px solid #d8dee4; border-radius: 12px; padding: 18px; box-shadow: 0 1px 2px rgb(27 31 36 / 4%); }}
+    .final-card h3 {{ margin: 0; font-size: 1.35rem; }}
+    .final-card h3 span {{ font-size: .85rem; color: #57606a; margin-left: 8px; }}
     .final-card header p {{ margin: 4px 0 12px; color: #57606a; }}
     .final-card p {{ line-height: 1.55; color: #334155; }}
     .theme-candidates {{ background: #f0fdf4; border: 1px solid #bbf7d0; padding: 16px; margin-bottom: 20px; border-radius: 8px; }}
@@ -268,17 +262,6 @@ def render_report_html(report: dict[str, Any]) -> str:
   <main>
     <section class="hero">
       <h1>{html.escape(title)}</h1>
-      <div class="meta">
-        <span class="pill">模式：{html.escape(report['mode'])}</span>
-        <span class="pill">受众：{html.escape(report['audience_scope'])}</span>
-        <span class="pill">AI 状态：{html.escape(str(report['summary']['ai_regime']))}</span>
-        <span class="pill">来源：{html.escape(source_mode)}</span>
-        <span class="pill">最终推荐：{len(report.get('final_decisions', {}).get('recommendations', []))}</span>
-      </div>
-    </section>
-    <section class="policy">
-      <strong>政策边界：</strong>当前只允许非个性化模型推荐；
-      不允许下单、组合配置、账户适当性判断或个性化建议。
     </section>
     {warning_html}
     {final_decisions_html}

tests/test_advisory_report.py

@@ -156,20 +156,29 @@ def test_contract_rejects_execution_enabled_report() -> None:
         validate_advisory_report(report)
 
 
-def test_render_markdown_contains_policy_section() -> None:
+def test_render_markdown_keeps_public_report_direct() -> None:
     report = build_advisory_report(
         as_of="2026-05-30",
         cadence="weekly",
         political_events_path=ROOT / "examples/political_events.example.csv",
         political_watchlist_path=ROOT / "examples/political_watchlist.example.csv",
         ai_signal_path=ROOT / "examples/ai_long_horizon_signal.example.json",
+        theme_momentum_path=ROOT / "examples/theme_momentum_snapshot.example.json",
     )
 
     markdown = render_markdown(report)
 
-    assert "## 政策边界" in markdown
-    assert "允许下单: `false`" in markdown
-    assert "允许非个性化模型推荐: `true`" in markdown
+    assert "# 量化模型推荐周度复盘 - 2026-05-30" in markdown
+    assert "股票背景" in markdown
+    assert "推荐理由" in markdown
+    assert "主要风险" in markdown
+    assert "## 政策边界" not in markdown
+    assert "允许下单" not in markdown
+    assert "模式:" not in markdown
+    assert "受众:" not in markdown
+    assert "AI 状态" not in markdown
+    assert "本期最终结论" not in markdown
+    assert "AiLongHorizonSignalPipelines" not in markdown
 
 
 def test_contract_rejects_account_action_fields() -> None:
@@ -342,15 +351,17 @@ def test_theme_momentum_snapshot_is_display_context_not_rating_input(tmp_path: P
     assert report_with_theme["theme_first_candidates"][2]["symbol"] == "DELL"
     assert report_with_theme["final_decisions"]["recommendations"][0]["symbol"] == "MU"
     assert report_with_theme["final_decisions"]["recommendations"][0]["business_summary"]
+    assert "存储周期" in report_with_theme["final_decisions"]["recommendations"][0]["risk_summary"]
     assert "ai_signal_score" in report_with_theme["final_decisions"]["recommendations"][0]
     assert report_with_theme["final_decisions"]["watchlist"][0]["symbol"] == "DELL"
     assert report_with_theme["recommendations"][0]["rating"] == report_without_theme["recommendations"][0]["rating"]
     assert report_with_theme["recommendations"][0]["score"] == report_without_theme["recommendations"][0]["score"]
 
     markdown = render_markdown(report_with_theme)
-    assert "## 本期最终结论" in markdown
+    assert "## 本期最终结论" not in markdown
     assert "股票背景" in markdown
     assert "推荐理由" in markdown
+    assert "AiLongHorizonSignalPipelines" not in markdown
     assert "## 主题候选（解释材料，不是最终推荐）" not in markdown
     assert "为什么入选" not in markdown
     assert "买多少" not in markdown

tests/test_publisher.py

@@ -20,15 +20,25 @@ def build_sample_report() -> dict:
     )
 
 
-def test_render_report_html_contains_policy_boundary() -> None:
+def test_render_report_html_is_direct_public_recommendation_page() -> None:
     html = render_report_html(build_sample_report())
 
-    assert "政策边界" in html
-    assert "不允许下单" in html
+    assert "量化模型推荐周度复盘 - 2026-05-30" in html
+    assert "text-align: center" in html
     assert "2-12周" in html
     assert "来源模式：fixture" in html
-    assert "本期最终结论" in html
     assert "股票背景" in html
+    assert "推荐理由" in html
+    assert "主要风险" in html
+    assert "<span class=\"pill\">模式：" not in html
+    assert "受众：" not in html
+    assert "AI 状态：" not in html
+    assert "政策边界" not in html
+    assert "不允许下单" not in html
+    assert "本期最终结论" not in html
+    assert "最终推荐：" not in html
+    assert "合成口径" not in html
+    assert "AiLongHorizonSignalPipelines" not in html
     assert "背景跟踪（非推荐" not in html
     assert "复核清单" not in html
     assert "主题候选（解释材料，不是最终推荐）" not in html
@@ -106,12 +116,20 @@ def test_render_report_html_includes_theme_momentum_context() -> None:
 
     html = render_report_html(report)
 
-    assert "本期最终结论" in html
-    assert "最终推荐" in html
+    assert "本期最终结论" not in html
+    assert "最终推荐：" not in html
+    assert "合成口径" not in html
+    assert "政策边界" not in html
+    assert "<span class=\"pill\">模式：" not in html
+    assert "受众：" not in html
+    assert "AI 状态：" not in html
     assert "AI信号仓库" in html
-    assert "AiLongHorizonSignalPipelines" in html
+    assert "AiLongHorizonSignalPipelines" not in html
     assert "股票背景" in html
     assert "推荐理由" in html
+    assert "主要风险" in html
+    assert "存储周期" in html
+    assert "需复核估值、财报、回撤和流动性" not in html
     assert "做什么" not in html
     assert "为什么有前景" not in html
     assert "买多少" not in html
@@ -123,7 +141,7 @@ def test_render_report_html_includes_theme_momentum_context() -> None:
     assert "MU" in html
 
 
-def test_format_telegram_message_contains_themes_policy_and_link() -> None:
+def test_format_telegram_message_is_direct_and_links_report() -> None:
     from quant_advisor_research.notifications import format_telegram_message
 
     report = build_sample_report()
@@ -158,12 +176,14 @@ def test_format_telegram_message_contains_themes_policy_and_link() -> None:
 
     assert "量化模型推荐" in message
     assert "本期最终推荐" in message
-    assert "AI信号仓库" in message
+    assert "AI信号仓库" not in message
     assert "股票背景" in message
     assert "推荐理由" in message
     assert "买多少" not in message
     assert "主题候选" not in message
     assert "事件证据" not in message
+    assert "模式：" not in message
+    assert "来源：" not in message
+    assert "不包含下单" not in message
     assert "MU" in message
-    assert "不包含下单" in message
     assert "https://example.com/advisor/2026-05-30-weekly-model-recommendations.html" in message