Release young-stock-cli 0.3.8

Author: yjw

CHANGELOG.md

@@ -1,5 +1,11 @@
 # Changelog
 
+## [0.3.8] - 2026-06-24
+
+### Fixed
+
+- Use Chinese expert display names in Chinese `--lens` report title and holding-advice headings, for example `巴菲特持仓建议与风险提示` instead of `Buffett持仓建议与风险提示`.
+
 ## [0.3.7] - 2026-06-24
 
 ### Fixed

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "young-stock-cli"
-version = "0.3.7"
+version = "0.3.8"
 description = "A-share (China stock market) after-hours CLI — no login, no scraping tricks, just data."
 readme = "README.md"
 requires-python = ">=3.9"

src/young_stock/__init__.py

@@ -1,3 +1,3 @@
 """young-stock-cli: A-share after-hours CLI."""
 
-__version__ = "0.3.7"
+__version__ = "0.3.8"

src/young_stock/_core.py

@@ -2309,7 +2309,7 @@ def futu_news_search(keyword: str, size: int = 10, lang: str = "en", news_type:
     })
     url = f"{FUTU_NEWS_URL}?{params}"
     try:
-        req = urllib.request.Request(url, headers={"User-Agent": "young-stock-cli/0.3.7"})
+        req = urllib.request.Request(url, headers={"User-Agent": "young-stock-cli/0.3.8"})
         with urllib.request.urlopen(req, timeout=10) as resp:
             return json.loads(resp.read().decode())
     except Exception as e:
@@ -2322,7 +2322,7 @@ def futu_stock_feed(keyword: str, size: int = 30) -> dict[str, Any]:
     params = urllib.parse.urlencode({"keyword": keyword, "size": size})
     url = f"{FUTU_FEED_URL}?{params}"
     try:
-        req = urllib.request.Request(url, headers={"User-Agent": "young-stock-cli/0.3.7"})
+        req = urllib.request.Request(url, headers={"User-Agent": "young-stock-cli/0.3.8"})
         with urllib.request.urlopen(req, timeout=10) as resp:
             return json.loads(resp.read().decode())
     except Exception as e:

src/young_stock/lens/registry.py

@@ -9,6 +9,7 @@
 class LensDefinition:
     id: str
     name: str
+    zh_name: str
     school: str
     summary: str
     voice: str
@@ -33,6 +34,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "buffett",
         "Buffett",
+        "巴菲特",
         "价值",
         "重商业质量、护城河、管理层、资本配置与安全边际。",
         "长期主义、朴素直接、少术语，像在和股东通信",
@@ -42,6 +44,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "munger",
         "Munger",
+        "芒格",
         "价值",
         "用多元思维模型、反向思考、激励与错配检查。",
         "犀利、直白、强调思维模型",
@@ -51,6 +54,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "graham",
         "Graham",
+        "格雷厄姆",
         "价值",
         "重资产负债表、盈利稳定性、估值纪律与下行保护。",
         "审慎、克制、偏教科书式",
@@ -60,6 +64,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "klarman",
         "Klarman",
+        "卡拉曼",
         "价值",
         "重绝对回报、复杂性折价、催化剂和永久损失风险。",
         "耐心、逆向、强调风险先于收益",
@@ -69,6 +74,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "lynch",
         "Lynch",
+        "彼得·林奇",
         "成长",
         "从可理解的增长故事出发，用盈利兑现检验叙事。",
         "生动、务实、贴近普通投资者观察",
@@ -78,6 +84,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "o_neil",
         "O'Neil",
+        "欧奈尔",
         "成长",
         "关注盈利加速、行业龙头、机构需求与价格强度。",
         "果断、规则化、尊重市场确认",
@@ -87,6 +94,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "wood",
         "Wood",
+        "伍德",
         "成长",
         "关注颠覆式创新、长期渗透率和技术成本曲线。",
         "前瞻、主题驱动、明确承认高波动",
@@ -96,6 +104,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "dalio",
         "Dalio",
+        "达利欧",
         "宏观",
         "重宏观周期、情景分析、分散化与风险平衡。",
         "原则导向、结构化、偏桥水备忘录式",
@@ -105,6 +114,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "soros",
         "Soros",
+        "索罗斯",
         "宏观",
         "关注反身性、预期差、政策拐点和仓位非对称性。",
         "敏锐、假设驱动、随证据快速修正",
@@ -114,6 +124,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "livermore",
         "Livermore",
+        "利弗莫尔",
         "技术/交易",
         "顺势而为，等待关键点确认并把风险控制放在第一位。",
         "简洁、纪律化、少预测多确认",
@@ -123,6 +134,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "minervini",
         "Minervini",
+        "米勒维尼",
         "技术/交易",
         "用趋势模板、盈利加速和风险收益比筛选强势股。",
         "精确、规则化、强调入场质量",
@@ -132,6 +144,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "simons",
         "Simons",
+        "西蒙斯",
         "量化",
         "关注数据定义、可重复信号、样本外稳健性和交易成本。",
         "冷静、概率化、避免故事替代统计",
@@ -141,6 +154,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "duan_yongping",
         "段永平",
+        "段永平",
         "中国视角",
         "重本分、商业模式、企业文化、长期现金创造与合理价格。",
         "朴实、耐心、从消费者与经营者角度思考",
@@ -150,6 +164,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "zhang_kun",
         "张坤",
+        "张坤",
         "中国视角",
         "关注高质量商业模式、长期自由现金流和组合机会成本。",
         "克制、长期、重定性与定量互证",
@@ -159,6 +174,7 @@ def chat_profile(self) -> dict[str, str]:
     LensDefinition(
         "feng_liu",
         "冯柳",
+        "冯柳",
         "中国视角",
         "从市场认知、赔率、困境反转和可验证变化寻找机会。",
         "逆向、重赔率、尊重市场已有认知",

src/young_stock/reports.py

@@ -112,11 +112,13 @@
 def _llm_report_structure_prompt(lens: str | None) -> str:
     if not lens or lens in {"balanced", "all"}:
         return LLM_REPORT_STRUCTURE_PROMPT
-    lens_name = get_lens(lens).name
+    lens_def = get_lens(lens)
+    lens_name = lens_def.zh_name
     return (
         LLM_REPORT_STRUCTURE_PROMPT
         + "\n"
-        + f"本次指定专家视角为 {lens_name}：一级标题必须包含“{lens_name}”；"
+        + f"本次指定专家视角为 {lens_def.name}；中文报告使用“{lens_name}”。"
+        + f"一级标题必须包含“{lens_name}”；"
         + f"最后一个二级标题必须写成“## {lens_name}持仓建议与风险提示”，"
         + "不要再使用“## 综合持仓建议与风险提示”。"
     )

tests/test_llm_reports.py

@@ -170,23 +170,24 @@ def test_llm_report_with_explicit_balanced_lens_uses_institutional_prompt(monkey
     assert metadata["debate_rounds"] == 0
 
 
-def test_llm_report_with_specific_lens_names_expert_in_title_and_advice_heading():
+def test_llm_report_with_specific_lens_uses_chinese_expert_name_for_chinese_reports():
     client = RecordingClient(
-        "# Buffett复盘\n\n"
+        "# 巴菲特复盘\n\n"
         "投资评级：持有观察。\n"
         "详细结论：据公开市场数据，仍以震荡观察为主。\n"
         "证据：证据暂缺。\n"
         "风险：量能不足。\n"
         "行动建议：等待确认，不追高。\n"
         "观察清单：跟踪下一交易日成交额。\n\n"
-        "## Buffett持仓建议与风险提示\n"
+        "## 巴菲特持仓建议与风险提示\n"
     )
 
     generate_llm_daily_report({"modules": {}, "_meta": {}}, client, lens="buffett")
 
     system_text = "\n".join(message["content"] for message in client.messages if message["role"] == "system")
-    assert "一级标题必须包含“Buffett”" in system_text
-    assert "## Buffett持仓建议与风险提示" in system_text
+    assert "中文报告使用“巴菲特”" in system_text
+    assert "一级标题必须包含“巴菲特”" in system_text
+    assert "## 巴菲特持仓建议与风险提示" in system_text
     assert "不要再使用“## 综合持仓建议与风险提示”" in system_text