更新了数据库格式

Backend/app.py

@@ -1,7 +1,7 @@
 from flask import Flask, request, jsonify
 from flask_cors import CORS
 from database import init_db, get_db
-from models import FundBasicInfo, FundDetail
+from models import FundBasicInfo, FundTrend, FundEstimate, FundPortfolio, FundExtraData
 from fund_api import FundAPI
 from fund_list_cache import get_fund_list_cache
 from sqlalchemy.orm import Session
@@ -15,6 +15,71 @@ init_db()
 fund_api = FundAPI()
 fund_list_cache = get_fund_list_cache()
 
+def _json_dumps(data):
+    return json.dumps(data, ensure_ascii=False) if data is not None else None
+
+def _json_loads(data, default):
+    if not data:
+        return default
+    try:
+        return json.loads(data)
+    except Exception:
+        return default
+
+def _build_cached_response(db: Session, fund_code: str):
+    basic = db.query(FundBasicInfo).filter(FundBasicInfo.fund_code == fund_code).first()
+    trend = db.query(FundTrend).filter(FundTrend.fund_code == fund_code).first()
+    estimate = db.query(FundEstimate).filter(FundEstimate.fund_code == fund_code).first()
+    portfolio = db.query(FundPortfolio).filter(FundPortfolio.fund_code == fund_code).first()
+    extra = db.query(FundExtraData).filter(FundExtraData.fund_code == fund_code).first()
+
+    if not any([basic, trend, estimate, portfolio, extra]):
+        return None
+
+    data = {}
+
+    if basic:
+        data['basic_info'] = _json_loads(basic.basic_json, {})
+        data['performance'] = _json_loads(basic.performance_json, {})
+
+    if trend:
+        data['net_worth_trend'] = _json_loads(trend.net_worth_trend_json, [])
+        data['accumulated_net_worth'] = _json_loads(trend.accumulated_net_worth_json, [])
+        data['position_trend'] = _json_loads(trend.position_trend_json, [])
+        data['total_return_trend'] = _json_loads(trend.total_return_trend_json, [])
+        data['ranking_trend'] = _json_loads(trend.ranking_trend_json, [])
+        data['ranking_percentage'] = _json_loads(trend.ranking_percentage_json, [])
+        data['scale_fluctuation'] = _json_loads(trend.scale_fluctuation_json, {})
+
+    if estimate:
+        data['realtime_estimate'] = {
+            'name': estimate.name,
+            'fund_code': fund_code,
+            'net_worth': estimate.net_worth,
+            'net_worth_date': estimate.net_worth_date,
+            'estimate_value': estimate.estimate_value,
+            'estimate_change': estimate.estimate_change,
+            'estimate_time': estimate.estimate_time
+        }
+
+    if portfolio:
+        data['portfolio'] = {
+            'stock_codes': _json_loads(portfolio.stock_codes_json, []),
+            'bond_codes': _json_loads(portfolio.bond_codes_json, []),
+            'stock_codes_new': _json_loads(portfolio.stock_codes_new_json, []),
+            'bond_codes_new': _json_loads(portfolio.bond_codes_new_json, [])
+        }
+
+    if extra:
+        data['holder_structure'] = _json_loads(extra.holder_structure_json, {})
+        data['asset_allocation'] = _json_loads(extra.asset_allocation_json, {})
+        data['performance_evaluation'] = _json_loads(extra.performance_evaluation_json, {})
+        data['fund_managers'] = _json_loads(extra.fund_managers_json, [])
+        data['subscription_redemption'] = _json_loads(extra.subscription_redemption_json, {})
+        data['same_type_funds'] = _json_loads(extra.same_type_funds_json, [])
+
+    return data
+
 @app.route('/')
 def hello():
     """测试接口是否可用"""
@@ -57,23 +122,132 @@ def get_fund_detail(fund_code):
     fund_data = fund_api.get_fund_data(fund_code)
     
     if fund_data:
-        # 检查数据库是否存在记录
-        cached_fund = db.query(FundDetail).filter(FundDetail.fund_code == fund_code).first()
-        # 更新或新增记录
-        if cached_fund:
-            cached_fund.data_json = json.dumps(fund_data, ensure_ascii=False)
-            cached_fund.net_worth_trend = json.dumps(fund_data.get('net_worth_trend', []), ensure_ascii=False)
-            cached_fund.basic_info = json.dumps(fund_data.get('basic_info', {}), ensure_ascii=False)
+        basic_info = fund_data.get('basic_info', {})
+        performance = fund_data.get('performance', {})
+        trend = {
+            'net_worth_trend': fund_data.get('net_worth_trend', []),
+            'accumulated_net_worth': fund_data.get('accumulated_net_worth', []),
+            'position_trend': fund_data.get('position_trend', []),
+            'total_return_trend': fund_data.get('total_return_trend', []),
+            'ranking_trend': fund_data.get('ranking_trend', []),
+            'ranking_percentage': fund_data.get('ranking_percentage', []),
+            'scale_fluctuation': fund_data.get('scale_fluctuation', {})
+        }
+        estimate = fund_data.get('realtime_estimate', {})
+        portfolio = fund_data.get('portfolio', {})
+        extra = {
+            'holder_structure': fund_data.get('holder_structure', {}),
+            'asset_allocation': fund_data.get('asset_allocation', {}),
+            'performance_evaluation': fund_data.get('performance_evaluation', {}),
+            'fund_managers': fund_data.get('fund_managers', []),
+            'subscription_redemption': fund_data.get('subscription_redemption', {}),
+            'same_type_funds': fund_data.get('same_type_funds', [])
+        }
+
+        basic_record = db.query(FundBasicInfo).filter(FundBasicInfo.fund_code == fund_code).first()
+        if basic_record:
+            basic_record.fund_name = basic_info.get('fund_name')
+            basic_record.fund_type = basic_info.get('fund_type')
+            basic_record.original_rate = basic_info.get('original_rate')
+            basic_record.current_rate = basic_info.get('current_rate')
+            basic_record.min_subscription_amount = basic_info.get('min_subscription_amount')
+            basic_record.is_hb = basic_info.get('is_hb')
+            basic_record.basic_json = _json_dumps(basic_info)
+            basic_record.performance_json = _json_dumps(performance)
         else:
-            fund_detail = FundDetail(
+            basic_record = FundBasicInfo(
                 fund_code=fund_code,
-                data_json=json.dumps(fund_data, ensure_ascii=False),
-                net_worth_trend=json.dumps(fund_data.get('net_worth_trend', []), ensure_ascii=False),
-                basic_info=json.dumps(fund_data.get('basic_info', {}), ensure_ascii=False)
+                fund_name=basic_info.get('fund_name') or fund_code,
+                fund_type=basic_info.get('fund_type'),
+                original_rate=basic_info.get('original_rate'),
+                current_rate=basic_info.get('current_rate'),
+                min_subscription_amount=basic_info.get('min_subscription_amount'),
+                is_hb=basic_info.get('is_hb'),
+                basic_json=_json_dumps(basic_info),
+                performance_json=_json_dumps(performance)
             )
-            db.add(fund_detail)        
+            db.add(basic_record)
+
+        trend_record = db.query(FundTrend).filter(FundTrend.fund_code == fund_code).first()
+        if trend_record:
+            trend_record.net_worth_trend_json = _json_dumps(trend['net_worth_trend'])
+            trend_record.accumulated_net_worth_json = _json_dumps(trend['accumulated_net_worth'])
+            trend_record.position_trend_json = _json_dumps(trend['position_trend'])
+            trend_record.total_return_trend_json = _json_dumps(trend['total_return_trend'])
+            trend_record.ranking_trend_json = _json_dumps(trend['ranking_trend'])
+            trend_record.ranking_percentage_json = _json_dumps(trend['ranking_percentage'])
+            trend_record.scale_fluctuation_json = _json_dumps(trend['scale_fluctuation'])
+        else:
+            trend_record = FundTrend(
+                fund_code=fund_code,
+                net_worth_trend_json=_json_dumps(trend['net_worth_trend']),
+                accumulated_net_worth_json=_json_dumps(trend['accumulated_net_worth']),
+                position_trend_json=_json_dumps(trend['position_trend']),
+                total_return_trend_json=_json_dumps(trend['total_return_trend']),
+                ranking_trend_json=_json_dumps(trend['ranking_trend']),
+                ranking_percentage_json=_json_dumps(trend['ranking_percentage']),
+                scale_fluctuation_json=_json_dumps(trend['scale_fluctuation'])
+            )
+            db.add(trend_record)
+
+        estimate_record = db.query(FundEstimate).filter(FundEstimate.fund_code == fund_code).first()
+        if estimate_record:
+            estimate_record.name = estimate.get('name')
+            estimate_record.net_worth = estimate.get('net_worth')
+            estimate_record.net_worth_date = estimate.get('net_worth_date')
+            estimate_record.estimate_value = estimate.get('estimate_value')
+            estimate_record.estimate_change = estimate.get('estimate_change')
+            estimate_record.estimate_time = estimate.get('estimate_time')
+        else:
+            estimate_record = FundEstimate(
+                fund_code=fund_code,
+                name=estimate.get('name'),
+                net_worth=estimate.get('net_worth'),
+                net_worth_date=estimate.get('net_worth_date'),
+                estimate_value=estimate.get('estimate_value'),
+                estimate_change=estimate.get('estimate_change'),
+                estimate_time=estimate.get('estimate_time')
+            )
+            db.add(estimate_record)
+
+        portfolio_record = db.query(FundPortfolio).filter(FundPortfolio.fund_code == fund_code).first()
+        if portfolio_record:
+            portfolio_record.stock_codes_json = _json_dumps(portfolio.get('stock_codes', []))
+            portfolio_record.bond_codes_json = _json_dumps(portfolio.get('bond_codes', []))
+            portfolio_record.stock_codes_new_json = _json_dumps(portfolio.get('stock_codes_new', []))
+            portfolio_record.bond_codes_new_json = _json_dumps(portfolio.get('bond_codes_new', []))
+        else:
+            portfolio_record = FundPortfolio(
+                fund_code=fund_code,
+                stock_codes_json=_json_dumps(portfolio.get('stock_codes', [])),
+                bond_codes_json=_json_dumps(portfolio.get('bond_codes', [])),
+                stock_codes_new_json=_json_dumps(portfolio.get('stock_codes_new', [])),
+                bond_codes_new_json=_json_dumps(portfolio.get('bond_codes_new', []))
+            )
+            db.add(portfolio_record)
+
+        extra_record = db.query(FundExtraData).filter(FundExtraData.fund_code == fund_code).first()
+        if extra_record:
+            extra_record.holder_structure_json = _json_dumps(extra['holder_structure'])
+            extra_record.asset_allocation_json = _json_dumps(extra['asset_allocation'])
+            extra_record.performance_evaluation_json = _json_dumps(extra['performance_evaluation'])
+            extra_record.fund_managers_json = _json_dumps(extra['fund_managers'])
+            extra_record.subscription_redemption_json = _json_dumps(extra['subscription_redemption'])
+            extra_record.same_type_funds_json = _json_dumps(extra['same_type_funds'])
+        else:
+            extra_record = FundExtraData(
+                fund_code=fund_code,
+                holder_structure_json=_json_dumps(extra['holder_structure']),
+                asset_allocation_json=_json_dumps(extra['asset_allocation']),
+                performance_evaluation_json=_json_dumps(extra['performance_evaluation']),
+                fund_managers_json=_json_dumps(extra['fund_managers']),
+                subscription_redemption_json=_json_dumps(extra['subscription_redemption']),
+                same_type_funds_json=_json_dumps(extra['same_type_funds'])
+            )
+            db.add(extra_record)
+
         try:
-            db.commit() # 提交事务
+            db.commit()
         except Exception as e:
             print(f"Error saving to database: {e}")
             db.rollback()
@@ -81,13 +255,9 @@ def get_fund_detail(fund_code):
         return jsonify(fund_data)
     
     # 如果API获取失败，尝试从数据库获取缓存数据作为兜底
-    cached_fund = db.query(FundDetail).filter(FundDetail.fund_code == fund_code).first()
-    if cached_fund:
-        try:
-            data = json.loads(cached_fund.data_json)
-            return jsonify(data)
-        except:
-            pass
+    cached_data = _build_cached_response(db, fund_code)
+    if cached_data:
+        return jsonify(cached_data)
 
     return jsonify({"error": "Fund not found"}), 404
 
@@ -98,13 +268,19 @@ def get_fund_basic(fund_code):
         return jsonify({"error": "Fund code is required"}), 400
     fund_data = fund_api.get_fund_data(fund_code)
     if fund_data and fund_data.get('basic_info'):
-        # 合并 basic_info 和 performance 数据
         result = {
             **fund_data.get('basic_info', {}),
             **fund_data.get('performance', {})
         }
         return jsonify(result)
-    else:
+
+    db = next(get_db())
+    basic = db.query(FundBasicInfo).filter(FundBasicInfo.fund_code == fund_code).first()
+    if basic:
+        basic_info = _json_loads(basic.basic_json, {})
+        performance = _json_loads(basic.performance_json, {})
+        return jsonify({**basic_info, **performance})
+
     return jsonify({"error": "Fund basic info not found"}), 404
 
 @app.route('/api/fund/<fund_code>/trend', methods=['GET'])
@@ -119,7 +295,15 @@ def get_fund_trend(fund_code):
             "net_worth_trend": fund_data['net_worth_trend'],
             "accumulated_net_worth": fund_data.get('accumulated_net_worth', [])
         })
-    else:
+
+    db = next(get_db())
+    trend = db.query(FundTrend).filter(FundTrend.fund_code == fund_code).first()
+    if trend:
+        return jsonify({
+            "net_worth_trend": _json_loads(trend.net_worth_trend_json, []),
+            "accumulated_net_worth": _json_loads(trend.accumulated_net_worth_json, [])
+        })
+
     return jsonify({"error": "Fund trend data not found"}), 404
 
 if __name__ == '__main__':

Backend/models.py

@@ -10,17 +10,67 @@ class FundBasicInfo(Base):
     id = Column(Integer, primary_key=True, autoincrement=True)
     fund_code = Column(String(6), unique=True, nullable=False)
     fund_name = Column(String(100), nullable=False)
-    fund_name_en = Column(String(200))
     fund_type = Column(String(50))
+    original_rate = Column(Float)
+    current_rate = Column(Float)
+    min_subscription_amount = Column(String(50))
+    is_hb = Column(String(10))
+    basic_json = Column(Text)
+    performance_json = Column(Text)
     created_time = Column(DateTime, default=datetime.now)
     updated_time = Column(DateTime, default=datetime.now, onupdate=datetime.now)
 
-class FundDetail(Base):
-    __tablename__ = 'fund_detail'
+
+class FundTrend(Base):
+    __tablename__ = 'fund_trend'
 
     id = Column(Integer, primary_key=True, autoincrement=True)
-    fund_code = Column(String(6), nullable=False)
-    data_json = Column(Text)  # 存储完整的基金数据
-    net_worth_trend = Column(Text)  # 单位净值走势
-    basic_info = Column(Text)  # 基础信息
-    created_time = Column(DateTime, default=datetime.now)
+    fund_code = Column(String(6), unique=True, nullable=False)
+    net_worth_trend_json = Column(Text)
+    accumulated_net_worth_json = Column(Text)
+    position_trend_json = Column(Text)
+    total_return_trend_json = Column(Text)
+    ranking_trend_json = Column(Text)
+    ranking_percentage_json = Column(Text)
+    scale_fluctuation_json = Column(Text)
+    updated_time = Column(DateTime, default=datetime.now, onupdate=datetime.now)
+
+
+class FundEstimate(Base):
+    __tablename__ = 'fund_estimate'
+
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    fund_code = Column(String(6), unique=True, nullable=False)
+    name = Column(String(100))
+    net_worth = Column(String(50))
+    net_worth_date = Column(String(50))
+    estimate_value = Column(String(50))
+    estimate_change = Column(String(50))
+    estimate_time = Column(String(50))
+    updated_time = Column(DateTime, default=datetime.now, onupdate=datetime.now)
+
+
+class FundPortfolio(Base):
+    __tablename__ = 'fund_portfolio'
+
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    fund_code = Column(String(6), unique=True, nullable=False)
+    stock_codes_json = Column(Text)
+    bond_codes_json = Column(Text)
+    stock_codes_new_json = Column(Text)
+    bond_codes_new_json = Column(Text)
+    updated_time = Column(DateTime, default=datetime.now, onupdate=datetime.now)
+
+
+class FundExtraData(Base):
+    __tablename__ = 'fund_extra_data'
+
+    id = Column(Integer, primary_key=True, autoincrement=True)
+    fund_code = Column(String(6), unique=True, nullable=False)
+    holder_structure_json = Column(Text)
+    asset_allocation_json = Column(Text)
+    performance_evaluation_json = Column(Text)
+    fund_managers_json = Column(Text)
+    subscription_redemption_json = Column(Text)
+    same_type_funds_json = Column(Text)
+    updated_time = Column(DateTime, default=datetime.now, onupdate=datetime.now)

Backend/stock_service.py

@@ -2,6 +2,7 @@ import requests
 import json
 import threading
 import time
+import os
 
 class StockService:
     _instance = None
@@ -20,13 +21,54 @@ class StockService:
             return
         self.stock_details = {} # Map code -> {name, market}
         self.last_update = 0
-        self.cache_ttl = 24 * 3600  # 24 hours
+        self.cache_ttl = 24 * 3600 * 10  # 10 days
+        self.cache_file = os.path.abspath(
+            os.path.join(os.path.dirname(__file__), "..", "Data", "stock_list_cache.json")
+        )
         self._load_data()
         self._initialized = True
 
     def _load_data(self):
-        """Fetch data from APIs in a separate thread to avoid blocking startup"""
-        threading.Thread(target=self._fetch_all, daemon=True).start()
+        """Load stock data from local cache; refresh if missing or expired."""
+        loaded = self._load_from_cache()
+
+        if not loaded or self._is_cache_expired():
+            threading.Thread(target=self._refresh_cache, daemon=True).start()
+
+    def _load_from_cache(self):
+        if not os.path.exists(self.cache_file):
+            return False
+
+        try:
+            with open(self.cache_file, "r", encoding="utf-8") as f:
+                data = json.load(f)
+            self.last_update = data.get("last_update", 0)
+            self.stock_details = data.get("stock_details", {})
+            return bool(self.stock_details)
+        except Exception as e:
+            print(f"Error loading stock cache: {e}")
+            return False
+
+    def _is_cache_expired(self):
+        if not self.last_update:
+            return True
+        return (time.time() - self.last_update) > self.cache_ttl
+
+    def _save_to_cache(self):
+        try:
+            os.makedirs(os.path.dirname(self.cache_file), exist_ok=True)
+            with open(self.cache_file, "w", encoding="utf-8") as f:
+                json.dump({
+                    "last_update": self.last_update,
+                    "stock_details": self.stock_details
+                }, f, ensure_ascii=False)
+        except Exception as e:
+            print(f"Error saving stock cache: {e}")
+
+    def _refresh_cache(self):
+        """Download stock list and save to local cache."""
+        self._fetch_all()
+        self._save_to_cache()
 
     def _fetch_all(self):
         self._fetch_hk_stocks()

Frontend/src/components/FundHolderStructure.vue

@@ -15,7 +15,7 @@
                 <th>时间</th>
                 <th v-for="serie in series" :key="serie.name">
                   <span class="legend-dot" :style="{ background: getColor(serie.name) }"></span>
-                  {{ serie.name }}
+                  {{ formatLegendName(serie.name) }}
                 </th>
               </tr>
             </thead>
@@ -70,6 +70,11 @@ export default {
       return colors[name] || '#5470c6'
     }
 
+    const formatLegendName = (name) => {
+      if (!name) return ''
+      return name.replace(/比例/g, '')
+    }
+
     const formatValue = (value) => {
       if (value === null || value === undefined) return '--'
       return value.toFixed(2) + '%'
@@ -86,7 +91,7 @@ export default {
 
       // 准备堆叠柱状图数据
       const seriesData = series.value.map(serie => ({
-        name: serie.name,
+        name: formatLegendName(serie.name),
         type: 'bar',
         stack: 'total',
         barWidth: '50%',
@@ -119,7 +124,7 @@ export default {
           }
         },
         legend: {
-          data: series.value.map(s => s.name),
+          data: series.value.map(s => formatLegendName(s.name)),
           bottom: 0
         },
         grid: {
@@ -168,6 +173,7 @@ export default {
       series,
       hasData,
       getColor,
+      formatLegendName,
       formatValue
     }
   }

Frontend/src/components/FundPortfolio.vue

@@ -120,6 +120,7 @@ export default {
 .portfolio-content {
   flex: 1;
   overflow-y: auto;
+  padding-right: 12px;
 }
 
 .portfolio-header {
@@ -189,7 +190,7 @@ export default {
 
 .col-market {
   width: 60px;
-  text-align: right;
+  text-align: left;
   color: #888;
   font-size: 11px;
 }

Frontend/src/components/FundSameType.vue

@@ -56,7 +56,7 @@ export default {
   emits: ['fund-select'],
   setup(props, { emit }) {
     const activePeriod = ref(0)
-    const periods = ['近1年', '近2年', '近3年', '近5年', '今年以来']
+    const periods = ['主题1', '主题2', '主题3', '主题4', '主题5']
 
     const currentFunds = computed(() => {
       if (!props.sameTypeFunds || !Array.isArray(props.sameTypeFunds)) {

开发笔记.md

@@ -187,36 +187,10 @@
 
 
 
-### 1.2 核心函数解释
+## 2. 后续开发计划
 
-- **get_fund_basic_info(fund_code)**
-  - 功能：获取基金综合信息，包括实时估值、基本资料等
-  - 输入：基金代码
-  - 输出：基金最近一个交易日的单位净值(dwjz)、基金名称(name)、净值日期(jzrq)、估计净值(gsz)、估计增长率%(gszzl)、估计日期(gztime)等
+1. 添加基金自选功能，便于浏览持有基金的情况（写json或者数据库）
+2. 添加基金对比功能，支持多只基金放在同一版图进行数据对比
+3. 添加模型预测功能，通过LSTM或者CNN实现对基金走势的预测
+4. 添加基金回测功能，找到合适的量化策略
 
-- **get_fund_net_worth_history(fund_code, years=None)**
-  - 功能：获取基金历史净值数据
-  - 输入：基金代码；显示最近多少年的数据（None表示显示全部）
-  - 输出：包含日期和净值的DataFrame
-
-- **calculate_max_drawdown(net_worth_series)**
-  - 功能：计算最大回撤
-  - 输入：净值序列
-  - 输出：包含最大回撤信息的字典
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-- **calculate_technical_indicators(df, window=20)**
-  - 功能：计算技术指标，包含20日均值，累计收益率等
-- **plot_fund_vector_graph(fund_code, years=None, save_path=None)**
-  - 功能：绘制基金历史表现矢量图
-  - fund_code (str): 基金代码
-  - years (int, optional): 显示最近多少年的数据，None表示显示全部数据，1表示最近1年的数据，依此类推
-  - save_path (str, optional): 保存路径，例如 'fund_plot.svg'；默认为 None (直接显示图表)
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-## 预测策略
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- LSTM方法
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-- **回溯** ：滑动窗口的长度，表示我们回溯过去的周期数。
-- **前瞻** ：我们想要预测未来的周期数。