更新ios

MeAgent/src/screens/StockDetail/StockDetailScreen.js

@@ -16,6 +16,7 @@ import {
   MinuteChart,
   KlineChart,
   OrderBook,
+  StockInfoPanel,
   RelatedInfoTabs,
   EventsPanel,
   ConceptsPanel,
@@ -264,7 +265,7 @@ const StockDetailScreen = () => {
   return (
     <Box flex={1} bg="#0A0A0F">
       <SafeAreaView style={styles.container} edges={['top']}>
-        {/* 价格头部 - Wind 风格 */}
+        {/* 价格头部 - Wind 风格（固定在顶部） */}
         <PriceHeader
           stock={{ stock_code: stockCode, stock_name: displayStockName }}
           quote={quote}
@@ -273,6 +274,12 @@ const StockDetailScreen = () => {
           onBack={handleBack}
         />
 
+        {/* 可滚动内容区域 */}
+        <ScrollView
+          flex={1}
+          showsVerticalScrollIndicator={false}
+          contentContainerStyle={styles.scrollContent}
+        >
           {/* 图表类型切换 */}
           <ChartTypeTabs
             activeType={chartType}
@@ -311,13 +318,20 @@ const StockDetailScreen = () => {
             />
           )}
 
+          {/* 股票详情信息面板 */}
+          <StockInfoPanel
+            data={currentStock}
+            loading={loading.detail}
+          />
+
           {/* 相关信息 Tab */}
           <RelatedInfoTabs activeTab={infoTab} onChange={setInfoTab} />
 
           {/* 相关信息内容 */}
-        <Box flex={1}>
+          <Box minH={300} pb={4}>
             {renderInfoContent()}
           </Box>
+        </ScrollView>
 
         {/* 涨幅分析弹窗 */}
         <RiseAnalysisModal
@@ -334,6 +348,9 @@ const styles = StyleSheet.create({
   container: {
     flex: 1,
   },
+  scrollContent: {
+    flexGrow: 1,
+  },
 });
 
 export default StockDetailScreen;

MeAgent/src/screens/StockDetail/components/StockInfoPanel.js

@@ -0,0 +1,159 @@
+/**
+ * 股票详情信息面板
+ * 展示成交量、成交额、振幅、换手率、市盈率、市值等详细数据
+ */
+
+import React, { memo, useMemo } from 'react';
+import { Box, HStack, VStack, Text } from 'native-base';
+
+// 格式化大数字（带单位）
+const formatLargeNumber = (num, unit = '') => {
+  if (!num || num === 0) return '--';
+  if (num >= 100000000) {
+    return `${(num / 100000000).toFixed(2)}亿${unit}`;
+  }
+  if (num >= 10000) {
+    return `${(num / 10000).toFixed(2)}万${unit}`;
+  }
+  return `${num.toFixed(2)}${unit}`;
+};
+
+// 格式化百分比
+const formatPercent = (num) => {
+  if (num === null || num === undefined) return '--';
+  return `${Number(num).toFixed(2)}%`;
+};
+
+// 格式化价格
+const formatPrice = (num) => {
+  if (num === null || num === undefined || num === 0) return '--';
+  return Number(num).toFixed(2);
+};
+
+/**
+ * 单个信息项
+ */
+const InfoItem = memo(({ label, value, color = 'white' }) => (
+  <VStack alignItems="center" flex={1} py={2}>
+    <Text color="gray.500" fontSize={10} mb={1}>
+      {label}
+    </Text>
+    <Text color={color} fontSize={12} fontWeight="medium">
+      {value}
+    </Text>
+  </VStack>
+));
+
+/**
+ * 股票详情信息面板
+ */
+const StockInfoPanel = memo(({ data, loading }) => {
+  // 处理数据
+  const infoRows = useMemo(() => {
+    if (!data) return [];
+
+    return [
+      // 第一行：成交量、成交额、振幅
+      [
+        { label: '成交量', value: formatLargeNumber(data.volume, '股') },
+        { label: '成交额', value: formatLargeNumber(data.amount, '') },
+        { label: '振幅', value: formatPercent(data.amplitude) },
+      ],
+      // 第二行：换手率、市盈率、总市值
+      [
+        { label: '换手率', value: formatPercent(data.turnover_rate) },
+        { label: '市盈率', value: data.pe ? formatPrice(data.pe) : '--' },
+        { label: '总市值', value: data.total_mv ? `${data.total_mv}亿` : '--' },
+      ],
+      // 第三行：流通市值、总股本、流通股
+      [
+        { label: '流通市值', value: data.circ_mv ? `${data.circ_mv}亿` : '--' },
+        { label: '总股本', value: formatLargeNumber(data.total_shares, '股') },
+        { label: '流通股', value: formatLargeNumber(data.float_shares, '股') },
+      ],
+      // 第四行：涨跌额、总笔数、52周高/低
+      [
+        {
+          label: '涨跌额',
+          value: data.change_amount ? formatPrice(data.change_amount) : '--',
+          color: data.change_amount > 0 ? '#EF4444' : data.change_amount < 0 ? '#22C55E' : 'white',
+        },
+        { label: '总笔数', value: data.total_trades ? `${data.total_trades}` : '--' },
+        {
+          label: '52周高/低',
+          value: data.week52_high && data.week52_low
+            ? `${formatPrice(data.week52_high)}/${formatPrice(data.week52_low)}`
+            : '--',
+        },
+      ],
+    ];
+  }, [data]);
+
+  if (loading) {
+    return (
+      <Box
+        mx={4}
+        mt={3}
+        p={4}
+        bg="rgba(30, 41, 59, 0.6)"
+        borderRadius={16}
+        borderWidth={1}
+        borderColor="rgba(255,255,255,0.08)"
+      >
+        <Text color="gray.500" textAlign="center">加载中...</Text>
+      </Box>
+    );
+  }
+
+  if (!data) {
+    return null;
+  }
+
+  return (
+    <Box
+      mx={4}
+      mt={3}
+      bg="rgba(30, 41, 59, 0.6)"
+      borderRadius={16}
+      borderWidth={1}
+      borderColor="rgba(255,255,255,0.08)"
+      overflow="hidden"
+    >
+      {/* 标题栏 */}
+      <HStack px={4} py={2.5} alignItems="center" justifyContent="space-between">
+        <Text color="white" fontSize={14} fontWeight="bold">
+          行情数据
+        </Text>
+        {data.update_time && (
+          <Text color="gray.600" fontSize={10}>
+            更新于 {data.update_time}
+          </Text>
+        )}
+      </HStack>
+
+      {/* 数据行 */}
+      <Box px={2} pb={2}>
+        {infoRows.map((row, rowIndex) => (
+          <HStack
+            key={rowIndex}
+            borderTopWidth={rowIndex > 0 ? 1 : 0}
+            borderTopColor="rgba(255,255,255,0.06)"
+          >
+            {row.map((item, itemIndex) => (
+              <InfoItem
+                key={itemIndex}
+                label={item.label}
+                value={item.value}
+                color={item.color || 'white'}
+              />
+            ))}
+          </HStack>
+        ))}
+      </Box>
+    </Box>
+  );
+});
+
+StockInfoPanel.displayName = 'StockInfoPanel';
+
+export default StockInfoPanel;

MeAgent/src/screens/StockDetail/components/index.js

@@ -14,3 +14,4 @@ export { default as ConceptsPanel } from './ConceptsPanel';
 export { default as AnnouncementsPanel } from './AnnouncementsPanel';
 export { default as RiseAnalysisModal } from './RiseAnalysisModal';
 export { default as RiseAnalysisPanel } from './RiseAnalysisPanel';
+export { default as StockInfoPanel } from './StockInfoPanel';

MeAgent/src/services/stockService.js

@@ -125,15 +125,24 @@ export const stockDetailService = {
           high: quote.today_high || 0,
           low: quote.today_low || 0,
           // 涨跌
-          change_amount: (quote.current_price - quote.yesterday_close) || 0,
+          change_amount: quote.change_amount || (quote.current_price - quote.yesterday_close) || 0,
           change_percent: quote.change_percent || 0,
-          // 成交量/成交额（从 market/trade 获取）
+          // 成交量/成交额（优先用 API 返回的，否则用 market/trade）
-          volume: latestTrade?.volume || 0,
+          volume: quote.volume || latestTrade?.volume || 0,
-          amount: latestTrade?.amount || 0,
+          amount: quote.amount || latestTrade?.amount || 0,
+          // 新增：总笔数、振幅
+          total_trades: quote.total_trades || 0,
+          amplitude: quote.amplitude || 0,
           // 换手率/市盈率/市值
           turnover_rate: quote.turnover_rate || latestTrade?.turnover_rate || 0,
           pe_ratio: quote.pe || 0,
+          pe: quote.pe || 0,
           market_cap: quote.market_cap || quote.circ_mv || 0,
+          circ_mv: quote.circ_mv || 0,
+          total_mv: quote.total_mv || 0,
+          // 股本信息
+          total_shares: quote.total_shares || 0,
+          float_shares: quote.float_shares || 0,
           // 52周高低
           week52_high: quote.week52_high || 0,
           week52_low: quote.week52_low || 0,

app.py

@@ -9929,18 +9929,28 @@ def get_stock_quote_detail(stock_code):
             # 价格信息
             'current_price': None,
             'change_percent': None,
+            'change_amount': None,  # 涨跌额（元）
             'today_open': None,
             'yesterday_close': None,
             'today_high': None,
             'today_low': None,
 
+            # 成交信息
+            'volume': None,         # 成交量（股）
+            'amount': None,         # 成交额（元）
+            'total_trades': None,   # 总笔数
+            'amplitude': None,      # 振幅（%）
+
             # 关键指标
             'pe': None,
             'pb': None,
             'eps': None,
             'market_cap': None,
             'circ_mv': None,
+            'total_mv': None,       # 总市值（亿元）
             'turnover_rate': None,
+            'total_shares': None,   # 总股本（股）
+            'float_shares': None,   # 流通股本（股）
             'week52_high': None,
             'week52_low': None,
 
@@ -9953,21 +9963,25 @@ def get_stock_quote_detail(stock_code):
         }
 
         with engine.connect() as conn:
-            # 1. 获取最新交易数据（来自 ea_trade）
+            # 1. 获取最新交易数据（来自 ea_trade，包含完整字段）
             trade_query = text("""
                 SELECT
                     t.SECCODE,
                     t.SECNAME,
                     t.TRADEDATE,
+                    t.F001V as exchange,
                     t.F002N as pre_close,
                     t.F003N as open_price,
                     t.F004N as volume,
                     t.F005N as high,
                     t.F006N as low,
                     t.F007N as close_price,
+                    t.F008N as total_trades,
+                    t.F009N as change_amount,
                     t.F010N as change_pct,
                     t.F011N as amount,
                     t.F012N as turnover_rate,
+                    t.F013N as amplitude,
                     t.F020N as total_shares,
                     t.F021N as float_shares,
                     t.F026N as pe_ratio,
@@ -9988,10 +10002,19 @@ def get_stock_quote_detail(stock_code):
                 result_data['name'] = row.get('SECNAME') or ''
                 result_data['current_price'] = float(row.get('close_price') or 0)
                 result_data['change_percent'] = float(row.get('change_pct') or 0)
+                result_data['change_amount'] = float(row.get('change_amount') or 0)
                 result_data['today_open'] = float(row.get('open_price') or 0)
                 result_data['yesterday_close'] = float(row.get('pre_close') or 0)
                 result_data['today_high'] = float(row.get('high') or 0)
                 result_data['today_low'] = float(row.get('low') or 0)
+
+                # 成交信息
+                result_data['volume'] = float(row.get('volume') or 0)
+                result_data['amount'] = float(row.get('amount') or 0)
+                result_data['total_trades'] = int(row.get('total_trades') or 0) if row.get('total_trades') else None
+                result_data['amplitude'] = float(row.get('amplitude') or 0)
+
+                # 关键指标
                 result_data['pe'] = float(row.get('pe_ratio') or 0) if row.get('pe_ratio') else None
                 result_data['turnover_rate'] = float(row.get('turnover_rate') or 0)
                 result_data['sw_industry_l1'] = row.get('sw_industry_l1') or ''
@@ -9999,13 +10022,21 @@ def get_stock_quote_detail(stock_code):
                 result_data['industry_l1'] = row.get('industry_l1') or ''
                 result_data['industry'] = row.get('sw_industry_l2') or row.get('sw_industry_l1') or ''
 
-                # 计算流通市值（亿元）
+                # 股本信息
+                total_shares = float(row.get('total_shares') or 0)
                 float_shares = float(row.get('float_shares') or 0)
                 close_price = float(row.get('close_price') or 0)
+                result_data['total_shares'] = total_shares
+                result_data['float_shares'] = float_shares
+
+                # 计算市值（亿元）
                 if float_shares > 0 and close_price > 0:
-                    circ_mv = (float_shares * close_price) / 100000000  # 转为亿
+                    circ_mv = (float_shares * close_price) / 100000000  # 流通市值（亿）
                     result_data['circ_mv'] = round(circ_mv, 2)
                     result_data['market_cap'] = f"{round(circ_mv, 2)}亿"
+                if total_shares > 0 and close_price > 0:
+                    total_mv = (total_shares * close_price) / 100000000  # 总市值（亿）
+                    result_data['total_mv'] = round(total_mv, 2)
 
                 trade_date = row.get('TRADEDATE')
                 if trade_date: