fix: handle efinance index open column fallback (#1051)

* fix: handle efinance index open column fallback

data_provider/efinance_fetcher.py

@@ -842,7 +842,7 @@ class EfinanceFetcher(BaseFetcher):
                 price_col = '最新价' if '最新价' in df.columns else 'price'
                 pct_col = '涨跌幅' if '涨跌幅' in df.columns else 'pct_chg'
                 chg_col = '涨跌额' if '涨跌额' in df.columns else 'change'
-                open_col = '开盘' if '开盘' in df.columns else 'open'
+                open_cols = [column for column in ('今开', '开盘', 'open') if column in df.columns]
                 high_col = '最高' if '最高' in df.columns else 'high'
                 low_col = '最低' if '最低' in df.columns else 'low'
                 vol_col = '成交量' if '成交量' in df.columns else 'volume'
@@ -851,6 +851,14 @@ class EfinanceFetcher(BaseFetcher):
 
                 current = safe_float(item.get(price_col, 0))
                 change_amount = safe_float(item.get(chg_col, 0))
+                open_price = 0.0
+                for column in open_cols:
+                    candidate = safe_float(item.get(column), default=None)
+                    if candidate not in (None, 0.0):
+                        open_price = candidate
+                        break
+                if open_price == 0.0 and open_cols:
+                    open_price = safe_float(item.get(open_cols[0], 0), 0)
 
                 results.append({
                     'code': full_code,
@@ -858,7 +866,7 @@ class EfinanceFetcher(BaseFetcher):
                     'current': current,
                     'change': change_amount,
                     'change_pct': safe_float(item.get(pct_col, 0)),
-                    'open': safe_float(item.get(open_col, 0)),
+                    'open': open_price,
                     'high': safe_float(item.get(high_col, 0)),
                     'low': safe_float(item.get(low_col, 0)),
                     'prev_close': current - change_amount if current or change_amount else 0,

docs/CHANGELOG.md

@@ -13,6 +13,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/).
 <!-- 每条独立一行追加到本段末尾，无需分类标题，合并时冲突最小 -->
 
 - [修复] 大盘复盘链路接入 `REPORT_LANGUAGE`：`REPORT_LANGUAGE=en` 时，A 股/合并复盘的 Prompt、章节标题、模板兜底文案与通知包装标题统一改为英文，避免出现英文正文外包中文标题的问题。
+- [修复] `EfinanceFetcher.get_main_indices()` 对东方财富指数实时行情的开盘价映射改为兼容 `今开 -> 开盘 -> open`，修复部分 `efinance` 版本下指数开盘价被读成缺失值的问题（fixes #1043）
 - [修复] `AGENT_MAX_STEPS` 在 orchestrator 多 Agent 模式下统一明确为“默认作为各子 Agent 的步数上限而非硬覆盖；TechnicalAgent 等高默认值 Agent 会被封顶、低默认值 Agent 保持原值；当用户主动调高（>10）时，再统一覆盖所有子 Agent 采用全局值”，同时修复用户设置 12 但 TechnicalAgent 仍以默认 6 步运行并报 "Agent exceeded max steps" 的问题（fixes #1026）
 - [修复] Specialist（Skill）Agent 失败不再中断整个分析管线，改为与 intel/risk 相同的优雅降级策略
 - [改进] Agent 超步数错误信息增加 AGENT_MAX_STEPS 调整提示，帮助用户自助排查

tests/test_efinance_main_indices.py

@@ -0,0 +1,82 @@
+import os
+import sys
+import types
+import unittest
+from unittest.mock import patch
+
+import pandas as pd
+
+sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from data_provider.efinance_fetcher import EfinanceFetcher
+
+
+class TestEfinanceMainIndices(unittest.TestCase):
+    def test_get_main_indices_prefers_jinkai_column_for_open_price(self):
+        fetcher = EfinanceFetcher()
+        fake_df = pd.DataFrame(
+            {
+                "股票代码": ["000001"],
+                "最新价": [3200.0],
+                "涨跌幅": [0.63],
+                "涨跌额": [20.0],
+                "今开": [3188.0],
+                "开盘": [0.0],
+                "最高": [3215.0],
+                "最低": [3170.0],
+                "成交量": [123456789],
+                "成交额": [9876543210.0],
+                "振幅": [1.2],
+            }
+        )
+        fake_efinance = types.SimpleNamespace(
+            stock=types.SimpleNamespace(get_realtime_quotes=lambda *args, **kwargs: fake_df)
+        )
+
+        with patch.dict(sys.modules, {"efinance": fake_efinance}):
+            with patch.object(fetcher, "_set_random_user_agent", return_value=None), patch.object(
+                fetcher, "_enforce_rate_limit", return_value=None
+            ):
+                data = fetcher.get_main_indices(region="cn")
+
+        self.assertIsNotNone(data)
+        self.assertEqual(len(data), 1)
+        self.assertEqual(data[0]["code"], "sh000001")
+        self.assertEqual(data[0]["name"], "上证指数")
+        self.assertAlmostEqual(data[0]["open"], 3188.0)
+        self.assertAlmostEqual(data[0]["current"], 3200.0)
+
+    def test_get_main_indices_falls_back_to_kaipan_when_jinkai_is_missing(self):
+        fetcher = EfinanceFetcher()
+        fake_df = pd.DataFrame(
+            {
+                "股票代码": ["000001"],
+                "最新价": [3200.0],
+                "涨跌幅": [0.63],
+                "涨跌额": [20.0],
+                "今开": [""],
+                "开盘": [3186.0],
+                "最高": [3215.0],
+                "最低": [3170.0],
+                "成交量": [123456789],
+                "成交额": [9876543210.0],
+                "振幅": [1.2],
+            }
+        )
+        fake_efinance = types.SimpleNamespace(
+            stock=types.SimpleNamespace(get_realtime_quotes=lambda *args, **kwargs: fake_df)
+        )
+
+        with patch.dict(sys.modules, {"efinance": fake_efinance}):
+            with patch.object(fetcher, "_set_random_user_agent", return_value=None), patch.object(
+                fetcher, "_enforce_rate_limit", return_value=None
+            ):
+                data = fetcher.get_main_indices(region="cn")
+
+        self.assertIsNotNone(data)
+        self.assertEqual(len(data), 1)
+        self.assertAlmostEqual(data[0]["open"], 3186.0)
+
+
+if __name__ == "__main__":
+    unittest.main()