完善了一些数据获取的bug

backend/app/api/data_routes.py

@@ -80,7 +80,8 @@ async def fetch_data(
         market=request.market,
         symbol=request.symbol,
         data_source=request.data_source,
-        update_id=data_update.id
+        update_id=data_update.id,
+        currency=request.currency
     )
     
     return FetchDataResponse(
@@ -96,7 +97,8 @@ def fetch_data_background(
     market: str,
     symbol: str,
     data_source: str,
-    update_id: int
+    update_id: int,
+    currency: str = None
 ):
     """后台数据获取任务 - 完全同步执行,避免event loop冲突"""
     import sys
@@ -117,7 +119,8 @@ def fetch_data_background(
             market=market,
             symbol=symbol,
             data_source=data_source,
-            update_id=update_id
+            update_id=update_id,
+            currency=currency
         )
         
         # 更新数据更新记录 - 使用psycopg2同步连接

backend/app/clients/bloomberg_client.py

@@ -9,7 +9,7 @@ import websocket
 import psycopg2
 import pandas as pd
 from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT
-from datetime import datetime
+from datetime import datetime, timedelta
 from dotenv import load_dotenv
 from pathlib import Path
 import logging
@@ -81,7 +81,7 @@ PRICE_CONFIG = {
 }
 
 STOCKCARD_CONFIG = {
-    "period": 15,
+    "period": 10,
     "unit": 100000000
 }
 
@@ -300,6 +300,14 @@ class BloombergClient:
             except Exception:
                 conn.rollback() # Should not happen with IF NOT EXISTS but good practice
             
+            # Migrate update_date to TIMESTAMP
+            try:
+                cur.execute("ALTER TABLE stockcard ALTER COLUMN update_date TYPE TIMESTAMP USING update_date::timestamp;")
+            except Exception as e:
+                # Likely already converted or failed, log but don't crash
+                logger.info(f"Schema migration note (update_date): {e}")
+                conn.rollback()
+            
             conn.commit()
 
     def save_data(self, data_list):
@@ -307,6 +315,8 @@ class BloombergClient:
         if not data_list:
             return
 
+
+            
         conn = self._get_db_connection()
         if not conn: return
 
@@ -354,7 +364,7 @@ class BloombergClient:
                         id,
                         ROW_NUMBER() OVER(
                             PARTITION BY company_code, currency, indicator, value_date
-                            ORDER BY update_date DESC
+                            ORDER BY update_date DESC, id DESC
                         ) as rn
                     FROM
                         stockcard
@@ -399,7 +409,7 @@ class BloombergClient:
 
     # --- Core Fetching Logic ---
 
-    def fetch_company(self, market, symbol, progress_callback=None):
+    def fetch_company(self, market, symbol, progress_callback=None, force_currency=None):
         """
         Main entry point to fetch data for a single company.
         """
@@ -407,12 +417,28 @@ class BloombergClient:
         # If symbol already has Equity, use it. Else append.
         if "Equity" in symbol:
             company_code = symbol
+            bucket_code = symbol # Usage for bucket? 
+            # If symbol comes in as '631 HK Equity', we might want to standardize?
+            # Assuming symbol is correct input.
         else:
             # Special case for China market: use 'CH Equity' instead of 'CN Equity'
             mapped_market = "CH" if market == "CN" else market
+            
+            # Canonical Code (Store in DB): Keep explicit zeros if provided in symbol
             company_code = f"{symbol} {mapped_market} Equity"
             
-        today_str = datetime.now().strftime('%Y-%m-%d')
+        # Query Ticker (Send to Bloomberg): Handle HK special case
+        query_ticker = company_code
+        if market == "HK" or (len(company_code.split()) > 1 and company_code.split()[1] == "HK"):
+             # Extract number part
+             parts = company_code.split()
+             ticker_part = parts[0]
+             if ticker_part.isdigit():
+                 short_ticker = str(int(ticker_part))
+                 # Reconstruct: 631 HK Equity
+                 query_ticker = f"{short_ticker} {' '.join(parts[1:])}"
+
+        today_str = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
         
         logger.info(f"🚀 Starting fetch for: {company_code}")
         if progress_callback: progress_callback("Starting Bloomberg session...", 0)
@@ -438,61 +464,85 @@ if 'bquery' not in globals():
         try:
             self.execute_remote_code(init_code)
 
-            # 1. Fetch Basic Info
-            logger.info("Fetching Basic Data...")
-            if progress_callback: progress_callback("Fetching Company Basic Info...", 10)
-            basic_data = self._fetch_basic_remote(company_code, "USD") 
-            self.save_data(basic_data)
 
+             # 1. Fetch Basic Info
             # Determine currency
+            if force_currency and force_currency != "Auto":
+                currency = force_currency
+                logger.info(f"Using forced currency: {currency}")
+            else:
                 currency = "USD"
                 if "JP" in market.upper(): currency = "JPY"
                 elif "VN" in market.upper(): currency = "VND"
                 elif "CN" in market.upper(): currency = "CNY"
                 elif "HK" in market.upper(): currency = "HKD"
+                logger.info(f"Using auto-detected currency: {currency}")
 
-            logger.info(f"Using currency: {currency}")
+            # 2. Fetch Basic Info
+            logger.info("Fetching Basic Data...")
+            if progress_callback: progress_callback("Fetching Company Basic Info...", 10)
+            try:
+                basic_data = self._fetch_basic_remote(company_code, currency, query_ticker=query_ticker) 
+                logger.info(f"DEBUG: basic_data before save: {basic_data}")
+                self.save_data(basic_data)
+            except Exception as e:
+                logger.error(f"Error fetching basic data: {e}")
 
-            # 2. Fetch Currency Data
+            # 3. Fetch Currency Data
             logger.info("Fetching Currency Data...")
             if progress_callback: progress_callback(f"正在获取货币指标 ({currency})...", 30)
-            curr_data = self._fetch_series_remote(company_code, currency, CURRENCY_CONFIG, "currency")
+            curr_data = []
+            try:
+                curr_data = self._fetch_series_remote(company_code, currency, CURRENCY_CONFIG, "currency", query_ticker=query_ticker)
                 self.save_data(curr_data)
+            except Exception as e:
+                logger.error(f"Error fetching currency series: {e}")
 
-            # 3. Fetch Non-Currency Data
+            # 4. Fetch Non-Currency Data
             logger.info("Fetching Non-Currency Data...")
             if progress_callback: progress_callback("正在获取非货币指标...", 50)
-            non_curr_data = self._fetch_series_remote(company_code, currency, NON_CURRENCY_CONFIG, "non_currency")
+            try:
+                non_curr_data = self._fetch_series_remote(company_code, currency, NON_CURRENCY_CONFIG, "non_currency", query_ticker=query_ticker)
                 self.save_data(non_curr_data)
+            except Exception as e:
+                logger.error(f"Error fetching non-currency series: {e}")
 
-            # 4. Fetch Price Data (Aligned with Revenue Dates)
+            # 5. Fetch Price Data (Aligned with Revenue Dates)
             logger.info("Fetching Price Data (Aligned)...")
             if progress_callback: progress_callback("正在获取价格指标...", 70)
             
             # Extract Revenue dates
             revenue_dates = []
-            rev_key = CURRENCY_CONFIG.get("Revenue", "SALES_REV_TURN")
-            # The saved data uses indicator name from config keys (e.g. "Revenue")
-            # So looking for "Revenue" in saved entries
-            
+            if curr_data:
                 for item in curr_data:
-                # Check for "Revenue" (case insensitive match if needed)
-                if item['indicator'].lower() == 'revenue':
+                    # Check for "Revenue"
+                    if item['indicator'].lower() == "revenue": # Robust case-insensitive check
                         if item['value_date']:
-                         # Ensure YYYY-MM-DD
                             revenue_dates.append(item['value_date'])
             
-            # Remove specs, duplicates, sort
+            # Remove duplicates, sort
             revenue_dates = sorted(list(set(revenue_dates)), reverse=True)
             
             if revenue_dates:
                 logger.info(f"Found {len(revenue_dates)} revenue reporting dates. Fetching aligned price data...")
-                price_data = self._fetch_price_by_dates_remote(company_code, currency, revenue_dates)
+                try:
+                    price_data = self._fetch_price_by_dates_remote(company_code, currency, revenue_dates, query_ticker=query_ticker)
                     self.save_data(price_data)
+                except Exception as e:
+                     logger.error(f"Error fetching aligned price data: {e}")
             else:
-                logger.warning("No revenue dates found. Falling back to yearly price fetch.")
-                price_data = self._fetch_series_remote(company_code, currency, PRICE_CONFIG, "price")
+                logger.warning("No revenue dates found. Falling back to yearly price fetch (Dec 31).")
+                # Generate last 10 years Dec 31
+                fallback_dates = []
+                current_year = datetime.now().year
+                for i in range(1, 11): 
+                   fallback_dates.append(f"{current_year - i}-12-31")
+                
+                try:
+                    price_data = self._fetch_price_by_dates_remote(company_code, currency, fallback_dates, query_ticker=query_ticker)
                     self.save_data(price_data)
+                except Exception as e:
+                    logger.error(f"Error fetching fallback price data: {e}")
 
             # 5. Cleanup
             if progress_callback: progress_callback("Finalizing data...", 90)
@@ -505,74 +555,80 @@ if 'bquery' not in globals():
             if progress_callback: progress_callback(f"Error: {e}", 0)
             raise e
 
-    def _fetch_basic_remote(self, company_code, currency):
+    def _fetch_basic_remote(self, company_code, currency, query_ticker=None):
         """Generates code to fetch basic data"""
+        target_ticker = query_ticker if query_ticker else company_code
+        
         code = f"""
 def get_basic():
     company = "{company_code}"
+    query_ticker = "{target_ticker}"
     curr = "{currency}"
     res_list = []
     
-    # 1. BQL query
-    q = f"for(['{{company}}']) get(name,listing_date,pe_ratio,px_to_book_ratio,cur_mkt_cap(currency={{curr}}),PCT_REVENUE_FROM_FOREIGN_SOURCES)"
-    try:
-        df = bquery.bql(q)
-        if not df.empty:
-            def get_val(df, field_name):
-                if field_name == 'name':
-                    rows = df[df['field'] == 'name']
-                elif 'cur_mkt_cap' in field_name:
-                    rows = df[df['field'].str.contains('cur_mkt_cap')]
-                elif 'FOREIGN' in field_name:
-                    rows = df[df['field'].str.contains('FOREIGN')]
-                else:
-                    rows = df[df['field'] == field_name]
+    # 1. BDP Query for most fields (except Market Cap)
+    fields = ["NAME", "PE_RATIO", "PX_TO_BOOK_RATIO", "PCT_REVENUE_FROM_FOREIGN_SOURCES", "DIVIDEND_12_MONTH_YIELD", "EQY_INIT_PO_DT"]
     
-                if not rows.empty:
-                    val = rows['value'].iloc[0]
-                    # Handle Timestamp object from remote pandas
-                    if hasattr(val, 'strftime'):
-                        return val.strftime('%Y-%m-%d')
-                    return str(val) if val is not None else None
+    try:
+        # Use overrides for currency. Expects list of tuples.
+        # Try both CURRENCY (for price) and EQY_FUND_CRNCY (for fundamentals)
+        df = bquery.bdp([query_ticker], fields, overrides=[('CURRENCY', curr), ('EQY_FUND_CRNCY', curr)])
+        
+        if not df.empty:
+            def safe_get(df, col):
+                if col in df.columns:
+                    val = df[col].iloc[0]
+                    if val is None: return None
+                    if hasattr(val, 'strftime'): return val.strftime('%Y-%m-%d')
+                    return str(val)
                 return None
 
-            res_list.append({{"indicator": "company_name", "value": get_val(df, 'name')}})
-            res_list.append({{"indicator": "pe_ratio", "value": get_val(df, 'pe_ratio')}})
-            res_list.append({{"indicator": "pb_ratio", "value": get_val(df, 'pb_ratio')}})
-            res_list.append({{"indicator": "market_cap", "value": get_val(df, 'cur_mkt_cap')}})
-            res_list.append({{"indicator": "Rev_Abroad", "value": get_val(df, 'FOREIGN')}})
-    except Exception as e:
-        print(f"Basic BQL Error: {{e}}")
-
-    # 2. BDP for IPO and Dividend
-    try:
-        did = bquery.bdp([company], ["DIVIDEND_12_MONTH_YIELD"])
-        if not did.empty and 'DIVIDEND_12_MONTH_YIELD' in did.columns:
-            res_list.append({{"indicator": "dividend_yield", "value": str(did['DIVIDEND_12_MONTH_YIELD'][0])}})
-        
-        ipo = bquery.bdp([company], ["EQY_INIT_PO_DT"])
-        if not ipo.empty and 'EQY_INIT_PO_DT' in ipo.columns:
-            val = ipo['EQY_INIT_PO_DT'][0]
-            val_str = str(val)
-            if hasattr(val, 'strftime'):
-                val_str = val.strftime('%Y-%m-%d')
-            res_list.append({{"indicator": "IPO_date", "value": val_str}})
+            res_list.append({{"indicator": "company_name", "value": safe_get(df, 'NAME')}})
+            res_list.append({{"indicator": "pe_ratio", "value": safe_get(df, 'PE_RATIO')}})
+            res_list.append({{"indicator": "pb_ratio", "value": safe_get(df, 'PX_TO_BOOK_RATIO')}})
+            # res_list.append({{"indicator": "market_cap", "value": safe_get(df, 'CUR_MKT_CAP')}}) # Moved to BDH
+            res_list.append({{"indicator": "Rev_Abroad", "value": safe_get(df, 'PCT_REVENUE_FROM_FOREIGN_SOURCES')}})
+            res_list.append({{"indicator": "dividend_yield", "value": safe_get(df, 'DIVIDEND_12_MONTH_YIELD')}})
+            res_list.append({{"indicator": "IPO_date", "value": safe_get(df, 'EQY_INIT_PO_DT')}})
 
     except Exception as e:
         print(f"Basic BDP Error: {{e}}")
 
+    # 2. BDH Query for Market Cap (To enforce Currency)
+    try:
+        import datetime
+        end_date = datetime.datetime.now().strftime('%Y%m%d')
+        start_date = (datetime.datetime.now() - datetime.timedelta(days=10)).strftime('%Y%m%d')
+        
+        # Fetch CUR_MKT_CAP via BDH to respect currency option
+        df_cap = bquery.bdh([query_ticker], ['CUR_MKT_CAP'], start_date=start_date, end_date=end_date, options={{'currency': curr}})
+        
+        if not df_cap.empty:
+            # BDH usually returns Market Cap in Millions.
+            # User simplified requirement: Keep it in Millions.
+            # Frontend will divide by 100 to get "Yi".
+            val_millions = df_cap.iloc[-1]['CUR_MKT_CAP']
+            res_list.append({{"indicator": "market_cap", "value": str(val_millions)}})
+            
+    except Exception as e:
+         print(f"Basic BDH Market Cap Error: {{e}}")
+
     # Format result
     final_res = []
-    today = datetime.now().strftime('%Y-%m-%d')
+    
+    import datetime
+    today_dt = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
+    
     for item in res_list:
-        if item['value']:
+        # Check against None string too if needed
+        if item['value'] and str(item['value']) != 'None':
             final_res.append({{
                 "Company_code": company,
-                "update_date": today,
+                "update_date": today_dt,
                 "currency": curr,
                 "indicator": item['indicator'],
                 "value": item['value'],
-                "value_date": today
+                "value_date": today_dt
             }})
     
     print("JSON_START")
@@ -583,27 +639,35 @@ get_basic()
 """
         return self._execute_and_parse(code)
 
-    def _fetch_series_remote(self, company_code, currency, config_dict, result_type):
+    def _fetch_series_remote(self, company_code, currency, config_dict, result_type, query_ticker=None):
         """Generates code to fetch series data using BDH"""
+        target_ticker = query_ticker if query_ticker else company_code
         
         config_json = json.dumps(config_dict)
         period_years = STOCKCARD_CONFIG['period']
         
-        start_year = datetime.now().year - period_years
-        start_date = f"{start_year}0101"
-        end_date = datetime.now().strftime('%Y%m%d')
+        # Calculate start date
+        end_date = datetime.now()
+        start_date = end_date - timedelta(days=period_years*365)
         
+        # Format dates for BDH (YYYYMMDD)
+        start_date_str = start_date.strftime('%Y%m%d')
+        end_date_str = end_date.strftime('%Y%m%d')
+        
+        # BDH Options
         bdh_options = {
-            'periodicitySelection': 'YEARLY',
-            'currency': currency,
-            'nonTradingDayFillOption': 'ALL_CALENDAR_DAYS',
-            'nonTradingDayFillMethod': 'PREVIOUS_VALUE'
+            "periodicityAdjustment": "FISCAL",
+            "periodicitySelection": "YEARLY",
+            "currency": currency,
+            # "nonTradingDayFillOption": "NON_TRADING_WEEKDAYS",
+            # "nonTradingDayFillMethod": "PREVIOUS_VALUE"
         }
         bdh_opts_json = json.dumps(bdh_options)
         
         code = f"""
 def get_series():
     company = "{company_code}"
+    query_ticker = "{target_ticker}"
     curr = "{currency}"
     config = {config_json}
     
@@ -614,10 +678,10 @@ def get_series():
     
     try:
         df = bquery.bdh(
-            [company], 
+            [query_ticker], 
             fields, 
-            start_date='{start_date}', 
-            end_date='{end_date}', 
+            start_date='{start_date_str}', 
+            end_date='{end_date_str}', 
             options={bdh_opts_json}
         )
         
@@ -656,7 +720,7 @@ def get_series():
                     
                     res_list.append({{
                         "Company_code": company,
-                        "update_date": "{datetime.now().strftime('%Y-%m-%d')}",
+                        "update_date": "{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
                         "currency": curr,
                         "indicator": indicator_name,
                         "value": val_str,
@@ -674,11 +738,12 @@ get_series()
 """
         return self._execute_and_parse(code)
 
-    def _fetch_price_by_dates_remote(self, company_code, currency, dates):
+    def _fetch_price_by_dates_remote(self, company_code, currency, dates, query_ticker=None):
         """Generates code to fetch price/mkt_cap for specific dates"""
         if not dates:
             return []
             
+        target_ticker = query_ticker if query_ticker else company_code
         dates_json = json.dumps(dates)
         config_json = json.dumps(PRICE_CONFIG)
         
@@ -692,6 +757,7 @@ get_series()
         code = f"""
 def get_price_by_dates():
     company = "{company_code}"
+    query_ticker = "{target_ticker}"
     curr = "{currency}"
     dates = {dates_json}
     config = {config_json}
@@ -705,10 +771,12 @@ def get_price_by_dates():
         # d_str is 'YYYY-MM-DD', bdh needs 'YYYYMMDD'
         d_param = d_str.replace('-', '')
         
+        for mnemonic, indicator_name in mnemonic_map.items():
+            field = mnemonic
             try:
                 df = bquery.bdh(
-                [company], 
-                fields, 
+                    [query_ticker], 
+                    [field], 
                     start_date=d_param, 
                     end_date=d_param, 
                     options={bdh_opts_json}
@@ -716,16 +784,17 @@ def get_price_by_dates():
                 
                 if not df.empty:
                     for _, row in df.iterrows():
-                    # value_date is d_str
-                    
-                    for mnemonic, indicator_name in mnemonic_map.items():
-                        col_name = mnemonic
-                        # bdh columns might be tuple or just string depending on request
-                        # usually 'PX_LAST'
-                        
                         val = None
-                        if col_name in df.columns:
-                            val = row[col_name]
+                        if field in df.columns:
+                            val = row[field]
+                        elif field in row:
+                            val = row[field]
+                        else:
+                            # Try case insensitive
+                            for c in df.columns:
+                                if c.upper() == field:
+                                    val = row[c]
+                                    break
                         
                         if pd.isna(val) or val is None:
                             continue
@@ -734,14 +803,16 @@ def get_price_by_dates():
                         
                         res_list.append({{
                             "Company_code": company,
-                            "update_date": "{datetime.now().strftime('%Y-%m-%d')}",
+                            "update_date": "{datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
                             "currency": curr,
                             "indicator": indicator_name,
                             "value": val_str,
                             "value_date": d_str
                         }})
+                        
             except Exception as e:
-            print(f"Error fetching price for {{d_str}}: {{e}}")
+                # print(f"BDH Error for {{field}}: {{e}}")
+                pass
             
     print("JSON_START")
     print(json.dumps(res_list))
@@ -755,7 +826,9 @@ get_price_by_dates()
         """Execute code and parse [JSON_START]...[JSON_END]"""
         raw_output_list = self.execute_remote_code(code)
         raw_output = "".join(raw_output_list) if isinstance(raw_output_list, list) else str(raw_output_list)
-        # logger.debug(f"Remote execution returned {len(raw_output)} chars.") # Optional debug
+        # Always log raw output first few chars for debug
+        logger.info(f"REMOTE RAW OUTPUT: {raw_output[:1000]}")  
+        # Actually let's log everything if it fails to find JSON
         
         # Simple parser
         try:
@@ -768,7 +841,7 @@ get_price_by_dates()
                 logger.info(f"✅ Parsed {len(data) if isinstance(data, list) else 1} items from remote.")
                 return data
             else:
-                logger.warning(f"⚠️ No JSON output found in remote response.")
+                logger.warning(f"⚠️ No JSON output found in remote response. Raw: {raw_output}")
                 return []
         except Exception as e:
             logger.error(f"❌ Error parsing JSON from remote: {e}")

backend/app/fetchers/bloomberg_fetcher.py

@@ -52,7 +52,7 @@ class BloombergFetcher(DataFetcher):
             # placeholders for 'IN' clause
             placeholders = ','.join(['%s'] * len(indicators))
             query = f"""
-                SELECT indicator, value, value_date 
+                SELECT indicator, value, value_date, currency
                 FROM stockcard 
                 WHERE Company_code = %s AND indicator IN ({placeholders})
                 ORDER BY value_date DESC
@@ -65,15 +65,17 @@ class BloombergFetcher(DataFetcher):
             if not rows:
                 return pd.DataFrame()
                 
-            df = pd.DataFrame(rows, columns=['indicator', 'value', 'value_date'])
+            df = pd.DataFrame(rows, columns=['indicator', 'value', 'value_date', 'currency'])
             
             # Pivot
-            # Index: value_date
+            # Index: [value_date, currency] -> ensures we keep both JPY and USD rows for the same date
             # Columns: indicator
             # Values: value
-            df_pivot = df.pivot(index='value_date', columns='indicator', values='value').reset_index()
+            df_pivot = df.pivot(index=['value_date', 'currency'], columns='indicator', values='value').reset_index()
             df_pivot.rename(columns={'value_date': 'end_date'}, inplace=True)
             
+            # No need to manual merge currency back, it's already in the index
+            
             # Clean columns? No, they are standard from config.
             return df_pivot
                 
@@ -103,14 +105,12 @@ class BloombergFetcher(DataFetcher):
         except Exception as e:
             print(f"Bloomberg fetch failed (ignoring, checking DB): {e}")
 
-    def sync_all_data(self, symbol: str, progress_callback=None) -> None:
+    def sync_all_data(self, symbol: str, progress_callback=None, force_currency=None):
         """
-        全量同步 Bloomberg 数据
-        
-        触发一次全量抓取即可，不需要分别抓取各个报表。
-        数据会自动存储到数据库。
+        Sync all data for the company.
+        Delegates to the universal client.
         """
-        self._ensure_data_fetched(symbol, progress_callback=progress_callback)
+        self.client.fetch_company(self.market, symbol, progress_callback=progress_callback, force_currency=force_currency)
         
     def get_income_statement(self, symbol: str) -> pd.DataFrame:
         """兼容性空方法"""

backend/app/schemas.py

@@ -47,6 +47,7 @@ class FetchDataRequest(BaseModel):
     company_name: str
     data_source: str
     force_refresh: bool = False
+    currency: Optional[str] = None
 
 class FetchDataResponse(BaseModel):
     update_id: int

backend/app/services/bloomberg_service.py

@@ -58,8 +58,9 @@ async def get_bloomberg_data(
 
         # 2. 获取该公司的所有数据
         # schema: indicator, value, value_date (作为报告期)
+        # Added update_date
         query = text("""
-            SELECT indicator, value, value_date, currency 
+            SELECT indicator, value, value_date, currency, update_date
             FROM stockcard 
             WHERE Company_code = :code
         """)
@@ -73,20 +74,30 @@ async def get_bloomberg_data(
             val = row.value
             v_date = row.value_date
             curr = row.currency
+            u_date = row.update_date
             
             if not v_date:
                 continue
                 
             date_str = v_date.isoformat() if hasattr(v_date, 'isoformat') else str(v_date)
+            # Handle update_date formatting
+            update_date_str = ""
+            if u_date:
+                update_date_str = u_date.isoformat() if hasattr(u_date, 'isoformat') else str(u_date)
             
-            if date_str not in data_by_date:
-                data_by_date[date_str] = {
+            # Key by (date, currency) to support multiple currencies for the same date
+            unique_key = f"{date_str}_{curr}"
+            
+            if unique_key not in data_by_date:
+                data_by_date[unique_key] = {
                     "end_date": date_str,
-                    "currency": curr
+                    "currency": curr,
+                    "update_date": ""
                 }
-            elif data_by_date[date_str].get("currency") is None and curr:
-                # If existing entry has no currency, but we have one now, update it
-                data_by_date[date_str]["currency"] = curr
+            
+            # Update the group's update_date if we find a newer one in this batch
+            if update_date_str > data_by_date[unique_key]["update_date"]:
+                data_by_date[unique_key]["update_date"] = update_date_str
             
             # Normalize key to match frontend expectation (mostly lowercase)
             # e.g. "ROE" -> "roe", "PE" -> "pe"
@@ -95,7 +106,7 @@ async def get_bloomberg_data(
             # Special case mapping if needed, but lowercase covers most
             # frontend uses: net_income, revenue, etc.
             
-            data_by_date[date_str][norm_indicator] = val
+            data_by_date[unique_key][norm_indicator] = val
         
         # 4. 转换为列表并排序
         full_list = list(data_by_date.values())

backend/app/services/data_fetcher_service.py

@@ -209,7 +209,8 @@ def fetch_financial_data_sync(
     market: str,
     symbol: str,
     data_source: str,
-    update_id: int
+    update_id: int,
+    currency: Optional[str] = None
 ):
     """
     同步方式获取财务数据（在后台任务中调用）
@@ -258,6 +259,9 @@ def fetch_financial_data_sync(
                 import inspect
                 sig = inspect.signature(fetcher.sync_all_data)
                 if 'progress_callback' in sig.parameters:
+                    if 'force_currency' in sig.parameters:
+                         fetcher.sync_all_data(formatted_symbol, progress_callback=progress_callback, force_currency=currency)
+                    else:
                          fetcher.sync_all_data(formatted_symbol, progress_callback=progress_callback)
                 else:
                     fetcher.sync_all_data(formatted_symbol)

backend/debug_bdh.py

@@ -0,0 +1,70 @@
+
+import sys
+import os
+import time
+import logging
+
+# Ensure we can import from backend
+sys.path.append(os.path.join(os.getcwd(), 'backend'))
+
+# Setup logging
+logging.basicConfig(level=logging.INFO)
+
+from app.clients.bloomberg_client import BloombergClient
+
+def test_bdh_currency():
+    print("Initializing BloombergClient...")
+    client = BloombergClient()
+    
+    ticker = "6301 JP Equity"
+    
+    code = """
+import sys
+import datetime
+try:
+    if 'bquery' not in globals():
+        import bquery
+except ImportError:
+    pass
+
+ticker = "{ticker}"
+fields = ["CUR_MKT_CAP", "PX_LAST"]
+
+print(f"--- BDH Currency Test for {{ticker}} ---")
+
+def get_bdh_val(curr, desc):
+    try:
+        # BDH request for last 5 days to ensure we hit a trading day
+        end_date = datetime.datetime.now().strftime('%Y%m%d')
+        start_date = (datetime.datetime.now() - datetime.timedelta(days=10)).strftime('%Y%m%d')
+        
+        # Pass currency in options
+        df = bquery.bdh([ticker], fields, start_date=start_date, end_date=end_date, options={{'currency': curr}})
+        
+        if not df.empty:
+            print(f"--- {{desc}} (Currency: {{curr}}) ---")
+            # Get last row
+            last_row = df.iloc[-1]
+            for col in df.columns:
+                print(f"  {{col}}: {{last_row[col]}}")
+        else:
+            print(f"{{desc}} Empty")
+    except Exception as e:
+        print(f"{{desc}} Error: {{e}}")
+
+# 1. JPY
+get_bdh_val('JPY', "BDH_JPY")
+
+# 2. USD
+get_bdh_val('USD', "BDH_USD")
+
+"""
+    formatted_code = code.format(ticker=ticker)
+    
+    print(f"Executing remote logic for {ticker}...")
+    output = client.execute_remote_code(formatted_code)
+    print("Remote Output:")
+    print(output)
+
+if __name__ == "__main__":
+    test_bdh_currency()

backend/debug_bdp_currency.py

@@ -0,0 +1,67 @@
+
+import sys
+import os
+import time
+import logging
+
+# Ensure we can import from backend
+sys.path.append(os.path.join(os.getcwd(), 'backend'))
+
+# Setup logging
+logging.basicConfig(level=logging.INFO)
+
+from app.clients.bloomberg_client import BloombergClient
+
+def test_bdp_options_injection():
+    print("Initializing BloombergClient...")
+    client = BloombergClient()
+    
+    ticker = "6301 JP Equity"
+    
+    code = """
+import sys
+try:
+    if 'bquery' not in globals():
+        import bquery
+except ImportError:
+    pass
+
+ticker = "{ticker}"
+fields = ["CUR_MKT_CAP", "PX_LAST"]
+
+print(f"--- Option Injection Test for {{ticker}} ---")
+
+def get_val_via_options(custom_overrides, desc):
+    try:
+        # Pass overrides=None, pass custom overrides via options
+        # Escape braces for format string by doubling them
+        df = bquery.bdp([ticker], fields, overrides=None, options={{'overrides': custom_overrides}})
+        if not df.empty:
+            print(f"--- {{desc}} ---")
+            for col in df.columns:
+                print(f"  {{col}}: {{df.iloc[0][col]}}")
+            print(f"  Sent: {{custom_overrides}}")
+        else:
+            print(f"{{desc}} Empty")
+    except Exception as e:
+        print(f"{{desc}} Error: {{e}}")
+
+# 1. Direct fieldId (No wrapper)
+get_val_via_options([{{'fieldId': 'CURRENCY', 'value': 'USD'}}], "Try1_Direct_Dict")
+
+# 2. Wrapped in 'overrides' (Same as current impl)
+get_val_via_options([{{'overrides': {{'fieldId': 'CURRENCY', 'value': 'USD'}}}}], "Try2_Wrapped_Overrides")
+
+# 3. Wrapped in 'override' (Singular)
+get_val_via_options([{{'override': {{'fieldId': 'CURRENCY', 'value': 'USD'}}}}], "Try3_Wrapped_Override")
+
+"""
+    formatted_code = code.format(ticker=ticker)
+    
+    print(f"Executing remote logic for {ticker}...")
+    output = client.execute_remote_code(formatted_code)
+    print("Remote Output:")
+    print(output)
+
+if __name__ == "__main__":
+    test_bdp_options_injection()

backend/debug_revenue_dates.py

@@ -0,0 +1,94 @@
+
+import asyncio
+from app.clients.bloomberg_client import BloombergClient, CURRENCY_CONFIG
+
+async def run():
+    client = BloombergClient()
+    company = "2503 JP Equity"
+    
+    # Simulate fetch of currency data (which includes Revenue)
+    # CURRENCY_CONFIG key "Revenue" is "SALES_REV_TURN"
+    
+    print(f"Debugging Revenue Dates for {company} (CNY)...")
+    
+    # We'll use the exact simulating logic of _fetch_series_remote but print the dates
+    
+    config = {"Revenue": CURRENCY_CONFIG["Revenue"]}
+    # Force CNY
+    currency = "CNY"
+    
+    # Generate the code that _fetch_series_remote generates
+    # We need to replicate the remote code construction roughly or call execute_remote_code
+    
+    import json
+    from datetime import datetime
+    
+    STOCKCARD_CONFIG = { "period": 10 }
+    period_years = STOCKCARD_CONFIG['period']
+    start_year = datetime.now().year - period_years
+    start_date = f"{start_year}0101"
+    end_date = datetime.now().strftime('%Y%m%d')
+    
+    bdh_options = {
+            'periodicitySelection': 'YEARLY',
+            'currency': currency,
+            'nonTradingDayFillOption': 'ALL_CALENDAR_DAYS',
+            'nonTradingDayFillMethod': 'PREVIOUS_VALUE'
+    }
+    
+    config_json = json.dumps(config)
+    bdh_opts_json = json.dumps(bdh_options)
+    
+    remote_code = f"""
+def debug_series():
+    company = "{company}"
+    curr = "{currency}"
+    config = {config_json}
+    
+    mnemonic_map = {{v.upper(): k for k, v in config.items()}}
+    fields = list(mnemonic_map.keys())
+    
+    try:
+        df = bquery.bdh(
+            [company], 
+            fields, 
+            start_date='{start_date}', 
+            end_date='{end_date}', 
+            options={bdh_opts_json}
+        )
+        
+        print(f"--- Raw Revenue Data (CNY) ---")
+        if not df.empty:
+            print(df)
+            
+            revenue_dates = []
+            for _, row in df.iterrows():
+                # Extract date
+                date_val = None
+                if 'date' in df.columns: date_val = row['date']
+                elif 'DATE' in df.columns: date_val = row['DATE']
+                
+                if date_val:
+                    d_str = str(date_val)[:10]
+                    # Check for value
+                    val = None
+                    if fields[0] in row: val = row[fields[0]]
+                    elif fields[0] in df.columns: val = row[fields[0]]
+                    
+                    if val is not None:
+                         revenue_dates.append(d_str)
+            
+            print(f"\\nExtracted Revenue Dates: {{sorted(revenue_dates, reverse=True)}}")
+        else:
+            print("DataFrame is empty.")
+
+    except Exception as e:
+        print(f"Error: {{e}}")
+
+debug_series()
+"""
+    result = client.execute_remote_code(remote_code)
+    print(result)
+
+if __name__ == "__main__":
+    asyncio.run(run())

backend/inspect_db.py

@@ -0,0 +1,42 @@
+import os
+import psycopg2
+from dotenv import load_dotenv
+
+load_dotenv()
+
+def inspect_schema():
+    db_host = os.getenv("DB_HOST", "192.168.3.195")
+    db_user = os.getenv("DB_USER", "value")
+    db_pass = os.getenv("DB_PASSWORD", "Value609!")
+    db_name = os.getenv("DB_NAME", "fa3")
+    db_port = os.getenv("DB_PORT", "5432")
+
+    try:
+        conn = psycopg2.connect(
+            host=db_host, user=db_user, password=db_pass, dbname=db_name, port=db_port
+        )
+        cur = conn.cursor()
+        
+        print("--- Table Columns ---")
+        cur.execute("""
+            SELECT column_name, data_type 
+            FROM information_schema.columns 
+            WHERE table_name = 'stockcard';
+        """)
+        rows = cur.fetchall()
+        for row in rows:
+            print(f"{row[0]}: {row[1]}")
+            
+        print("\n--- Recent Records update_date ---")
+        cur.execute("SELECT update_date FROM stockcard ORDER BY id DESC LIMIT 5")
+        rows = cur.fetchall()
+        for row in rows:
+            print(f"{row[0]} (Type: {type(row[0])})")
+
+        conn.close()
+
+    except Exception as e:
+        print(f"Error: {e}")
+
+if __name__ == "__main__":
+    inspect_schema()

backend/inspect_market_cap.py

@@ -0,0 +1,39 @@
+
+import os
+import psycopg2
+import logging
+from datetime import datetime
+
+# Config logging
+logging.basicConfig(level=logging.INFO)
+
+def inspect_db():
+    db_host = os.getenv("DB_HOST", "192.168.3.195")
+    db_user = os.getenv("DB_USER", "value")
+    db_pass = os.getenv("DB_PASSWORD", "Value609!")
+    db_name = os.getenv("DB_NAME", "fa3")
+    
+    conn = psycopg2.connect(
+        host=db_host, user=db_user, password=db_pass, dbname=db_name
+    )
+    
+    with conn.cursor() as cur:
+        # Check basic data market cap
+        cur.execute("""
+            SELECT update_date, indicator, value, value_date, currency, source
+            FROM stockcard 
+            WHERE Company_code LIKE '6301 JP%' 
+            AND (indicator = 'market_cap' OR indicator = 'Market_Cap')
+            ORDER BY update_date DESC, value_date DESC
+            LIMIT 20;
+        """)
+        rows = cur.fetchall()
+        print(f"{'Update Date':<20} | {'Indicator':<15} | {'Currency':<5} | {'Value Date':<12} | {'Value (Raw)':<20} | {'Source'}")
+        print("-" * 100)
+        for row in rows:
+            print(f"{str(row[0]):<20} | {row[1]:<15} | {row[4]:<5} | {str(row[3]):<12} | {row[2]:<20} | {row[5]}")
+
+    conn.close()
+
+if __name__ == "__main__":
+    inspect_db()

backend/test_bloomberg_market_cap.py

@@ -0,0 +1,61 @@
+
+import sys
+import os
+import logging
+import json
+from datetime import datetime, timedelta
+
+# Add app to path
+sys.path.append(os.path.join(os.path.dirname(__file__), 'app'))
+
+from app.clients.bloomberg_client import BloombergClient
+
+# Config logging
+logging.basicConfig(level=logging.INFO)
+
+def test_market_cap():
+    print("Initializing Client...")
+    client = BloombergClient()
+    
+    # Target: 6301 JP Equity (Komatsu Ltd)
+    company_code = "6301 JP Equity"
+    
+    # Dates to fetch (last few years)
+    dates = ["2023-03-31", "2024-03-31"] # Komatsu fiscal year end is usually March 31
+    
+    # 1. Fetch in JPY (Local)
+    print("\nfetching Market Cap in JPY...")
+    try:
+        data_jpy = client._fetch_price_by_dates_remote(
+            company_code=company_code, 
+            currency="JPY", 
+            dates=dates,
+            query_ticker=company_code
+        )
+        print("--- Result JPY ---")
+        print(json.dumps(data_jpy, indent=2, ensure_ascii=False))
+    except Exception as e:
+        print(f"Error JPY: {e}")
+        
+    # 2. Fetch in CNY (Converted) - Using Series Remote (Fallback Path)
+    print("\nfetching Market Cap in CNY (Series Remote Fallback)...")
+    try:
+        from app.clients.bloomberg_client import PRICE_CONFIG
+        
+        # We need to simulate the fallback call:
+        # price_data = self._fetch_series_remote(company_code, currency, PRICE_CONFIG, "price", query_ticker=query_ticker)
+        
+        data_cny = client._fetch_series_remote(
+            company_code=company_code, 
+            currency="CNY", 
+            config_dict=PRICE_CONFIG,
+            result_type="price",
+            query_ticker=company_code
+        )
+        print("--- Result CNY (Series) ---")
+        print(json.dumps(data_cny[:5], indent=2, ensure_ascii=False))
+    except Exception as e:
+        print(f"Error CNY: {e}")
+
+if __name__ == "__main__":
+    test_market_cap()

backend/test_bloomberg_series.py

@@ -0,0 +1,66 @@
+
+import sys
+import os
+import logging
+import json
+from datetime import datetime, timedelta
+
+# Add app to path
+sys.path.append(os.path.join(os.path.dirname(__file__), 'app'))
+
+from app.clients.bloomberg_client import BloombergClient
+
+# Config logging
+logging.basicConfig(level=logging.INFO)
+
+def test_series():
+    print("Initializing Client...")
+    client = BloombergClient()
+    
+    # Simulate the logic in fetch_company for HK
+    symbol = "00631"
+    market = "HK"
+    
+    # 1. Ticker Logic
+    mapped_market = "CH" if market == "CN" else market
+    company_code = f"{symbol} {mapped_market} Equity" # "00631 HK Equity"
+    
+    query_ticker = company_code
+    if market == "HK" or (len(company_code.split()) > 1 and company_code.split()[1] == "HK"):
+         parts = company_code.split()
+         ticker_part = parts[0]
+         if ticker_part.isdigit():
+             short_ticker = str(int(ticker_part))
+             query_ticker = f"{short_ticker} {' '.join(parts[1:])}" # "631 HK Equity"
+             
+    print(f"Company Code (Storage): {company_code}")
+    print(f"Query Ticker (Bloomberg): {query_ticker}")
+    
+    currency = "HKD"
+    
+    # 2. Test Currency Data Fetch (Revenue)
+    print("\nfetching Currency Data (Series)...")
+    curr_indicators = {
+        "Revenue": "SALES_REV_TURN"
+    }
+    
+    try:
+        # Call the internal method directly
+        data = client._fetch_series_remote(
+            company_code=company_code, 
+            currency=currency, 
+            config_dict=curr_indicators, 
+            result_type="currency", 
+            query_ticker=query_ticker
+        )
+        print("--- Result (First 5 items) ---")
+        print(json.dumps(data[:5], indent=2, ensure_ascii=False))
+        print(f"Total items: {len(data)}")
+    except Exception as e:
+        print(f"Error: {e}")
+
+    except Exception as e:
+        print(f"Error: {e}")
+
+if __name__ == "__main__":
+    test_series()

backend/verify_currency.py

@@ -0,0 +1,57 @@
+
+import sys
+import asyncio
+from app.clients.bloomberg_client import BloombergClient
+
+async def run():
+    client = BloombergClient()
+    company = "2503 JP Equity"
+    
+    # We want to check 2024-12-31 data for JPY, CNY, USD
+    currencies = ["JPY", "CNY", "USD"]
+    
+    print(f"Testing Market Cap for {company} on 2024-12-31 in {currencies}")
+
+    remote_code = f"""
+def test_currency():
+    company = "{company}"
+    currencies = {currencies}
+    date = "20241231"
+    
+    results = {{}}
+    
+    try:
+        for curr in currencies:
+            print(f"Fetching for {{curr}}...")
+            # Use BDH for historical specific date
+            df = bquery.bdh(
+                [company], 
+                ['CUR_MKT_CAP'],
+                start_date=date,
+                end_date=date,
+                options={{'currency': curr, 'periodicitySelection': 'DAILY', 'nonTradingDayFillOption': 'ALL_CALENDAR_DAYS', 'nonTradingDayFillMethod': 'PREVIOUS_VALUE'}}
+            )
+            
+            if not df.empty and 'CUR_MKT_CAP' in df.columns:
+                val = df['CUR_MKT_CAP'].iloc[0]
+                results[curr] = val
+            else:
+                results[curr] = "No Data"
+                
+    except Exception as e:
+        print(f"Error: {{e}}")
+        
+    import json
+    print("JSON_START")
+    print(json.dumps(results))
+    print("JSON_END")
+
+test_currency()
+"""
+    
+    result = client.execute_remote_code(remote_code)
+    print("\nCheck Result:")
+    print(result)
+
+if __name__ == "__main__":
+    asyncio.run(run())

backend/verify_historical_currency.py

@@ -0,0 +1,41 @@
+
+import sys
+import asyncio
+import json
+from app.clients.bloomberg_client import BloombergClient
+
+# Mock the PRICE_CONFIG to ensure we are fetching what we expect if it's not imported
+# But BloombergClient imports it from configuration. 
+# Let's rely on the real client.
+
+async def run():
+    client = BloombergClient()
+    company = "2503 JP Equity"
+    dates = ['2024-12-31', '2023-12-31', '2022-12-31', '2021-12-31', '2020-12-31', '2019-12-31', '2018-12-31', '2017-12-31', '2016-12-31']
+    
+    currencies = ["CNY"]
+    
+    print(f"Testing _fetch_price_by_dates_remote for {company} on {dates}...")
+
+    for curr in currencies:
+        print(f"\n--- Fetching in {curr} ---")
+        try:
+            # The method allows fetching price data for specific dates
+            # It uses PRICE_CONFIG which includes 'Market_Cap'
+            data = client._fetch_price_by_dates_remote(company, curr, dates)
+            
+            # Filter for Market_Cap to show user
+            mkt_caps = [d for d in data if d['indicator'] == 'Market_Cap']
+            
+            if mkt_caps:
+                for item in mkt_caps:
+                    print(f"Currency: {item['currency']}, Date: {item['value_date']}, Value: {item['value']}")
+            else:
+                print("No Market_Cap data returned.")
+                print("Raw data returned:", json.dumps(data, indent=2))
+                
+        except Exception as e:
+            print(f"Error fetching {curr}: {e}")
+
+if __name__ == "__main__":
+    asyncio.run(run())

frontend/src/app/page.tsx

@@ -19,6 +19,8 @@ import { Progress } from "@/components/ui/progress"
 import { formatTimestamp } from "@/lib/formatters"
 import { BloombergView } from "@/components/bloomberg-view"
 import { HeaderPortal } from "@/components/header-portal"
+import { AppSidebar } from "@/components/app-sidebar"
+import { StockChart } from "@/components/stock-chart"
 
 export default function Home() {
   const searchParams = useSearchParams()
@@ -27,18 +29,23 @@ export default function Home() {
   const [selectedCompany, setSelectedCompany] = useState<SearchResult | null>(null)
   const [selectedDataSource, setSelectedDataSource] = useState<string>("iFinD")
   const [companyId, setCompanyId] = useState<number | null>(null)
-  const [showFinancialData, setShowFinancialData] = useState(false)
   const [analysisId, setAnalysisId] = useState<number | null>(null)
   const [oneTimeModel, setOneTimeModel] = useState<string | undefined>(undefined)
+  const [currency, setCurrency] = useState<string>("Auto")
+
+  // View State (home, financial, chart)
+  const [currentView, setCurrentView] = useState<string>("home")
 
   // 处理公司选择
   const handleCompanySelect = (company: SearchResult, dataSource?: string) => {
     setSelectedCompany(company)
     setCompanyId(null)
-    setShowFinancialData(false)
     setAnalysisId(null)
     setOneTimeModel(undefined)
 
+    // Switch to financial view by default when company is selected
+    setCurrentView("financial")
+
     // 如果没有传入数据源，则根据市场设置默认值
     const targetDataSource = dataSource || (company.market === 'CN' ? 'Tushare' : 'iFinD')
     setSelectedDataSource(targetDataSource)
@@ -64,7 +71,6 @@ export default function Home() {
   // 数据准备就绪
   const handleDataReady = (id: number) => {
     setCompanyId(id)
-    setShowFinancialData(true)
   }
 
   // AI分析完成
@@ -72,20 +78,30 @@ export default function Home() {
     setAnalysisId(id)
   }
 
-  // 返回搜索
+  // 返回搜索 (Reset)
   const handleBackToSearch = () => {
     setSelectedCompany(null)
     setCompanyId(null)
-    setShowFinancialData(false)
     setAnalysisId(null)
     setOneTimeModel(undefined)
+    setCurrentView("home")
   }
 
+  // Navigation Handler
+  const handleTabChange = (tab: string) => {
+    if (tab === "home") {
+      handleBackToSearch()
+    } else {
+      setCurrentView(tab)
+    }
+  }
+
+  // Render Content based on View
+  const renderContent = () => {
+    // Home View
+    if (!selectedCompany || currentView === "home") {
       return (
-    <div className="min-h-screen w-full p-8">
-      {/* 标题和描述 */}
-      {!selectedCompany && (
-        <div className="max-w-7xl mx-auto flex flex-col gap-8">
+        <div className="max-w-7xl mx-auto flex flex-col gap-8 p-8">
           <div className="flex flex-col gap-4">
             <h1 className="text-3xl font-bold tracking-tight">股票分析</h1>
             <p className="text-muted-foreground">
@@ -98,160 +114,220 @@ export default function Home() {
             <SearchStockWithSelection onSelect={handleCompanySelect} />
           </div>
 
-          {/* 最近的报告 */}
-          <div className="flex flex-col gap-4 mt-8">
-            <h2 className="text-2xl font-bold tracking-tight">最近的报告</h2>
-            <HistoryList />
+          {/* 历史记录 */}
+          <div className="grid grid-cols-1 md:grid-cols-2 gap-6">
+            <HistoryList onSelect={handleCompanySelect} />
           </div>
         </div>
-      )}
-
-      {selectedCompany && (
-        <div className="w-full">
-          <CompanyAnalysisView
-            company={selectedCompany}
-            dataSource={selectedDataSource}
-            onBack={handleBackToSearch}
-            onDataSourceChange={setSelectedDataSource}
-            oneTimeModel={oneTimeModel}
-          />
-        </div>
-      )}
-    </div>
       )
     }
 
-// 拆分出单独的组件以使用Hooks
+    // Chart View
+    if (currentView === "chart") {
+      return (
+        <div className="h-full p-4 flex flex-col gap-4">
+          {/* Top Navigation for Chart View */}
+          <div className="flex flex-row items-center justify-between px-2">
+            <div className="flex items-center gap-4">
+              <Button variant="ghost" size="sm" onClick={handleBackToSearch} className="gap-2">
+                <ArrowLeft className="h-4 w-4" />
+                返回搜索
+              </Button>
+              <div className="flex items-center gap-2">
+                <h1 className="text-2xl font-bold">{selectedCompany.company_name}</h1>
+                <Badge variant="outline">{selectedCompany.symbol}</Badge>
+                <Badge>{selectedCompany.market}</Badge>
+              </div>
+            </div>
+          </div>
+          <StockChart symbol={selectedCompany.symbol} market={selectedCompany.market} />
+        </div>
+      )
+    }
+
+    // Financial Data View (Default fallback)
+    return (
+      <div className="w-full pl-2 pr-32 py-6 space-y-6">
+        {/* 顶部导航栏 (Portal Target) */}
+
+        <div className="grid grid-cols-1 gap-6">
+          {/* 数据源选择 */}
+          <div className="flex flex-col gap-4">
+            <div className="hidden">
+              <DataSourceSelector
+                market={selectedCompany.market}
+                selectedSource={selectedDataSource}
+                onSourceChange={setSelectedDataSource}
+              />
+            </div>
+
+            {/* 数据获取状态 */}
+            <CompanyAnalysisView
+              company={selectedCompany}
+              dataSource={selectedDataSource}
+              onDataReady={handleDataReady}
+              onAnalysisComplete={handleAnalysisComplete}
+              selectedModel={oneTimeModel}
+              currency={currency}
+              setCurrency={setCurrency}
+            />
+          </div>
+        </div>
+      </div>
+    )
+  }
+
+  return (
+    <div className="flex h-screen w-full bg-background overflow-hidden">
+      {/* Sidebar */}
+      <AppSidebar
+        activeTab={currentView}
+        onTabChange={handleTabChange}
+        hasSelectedCompany={!!selectedCompany}
+        className="flex-shrink-0 z-10"
+      />
+
+      {/* Main Content Area */}
+      <main className="flex-1 overflow-auto bg-background/50 relative">
+        {renderContent()}
+      </main>
+    </div>
+  )
+}
+
+// ----------------------------------------------------------------------
+// Sub-components
+// ----------------------------------------------------------------------
+
 function CompanyAnalysisView({
   company,
   dataSource,
-  onBack,
-  onDataSourceChange,
-  oneTimeModel
+  onDataReady,
+  onAnalysisComplete,
+  selectedModel,
+  currency,
+  setCurrency
 }: {
-  company: SearchResult,
-  dataSource: string,
-  onBack: () => void,
-  onDataSourceChange: (ds: string) => void,
-  oneTimeModel?: string
+  company: SearchResult
+  dataSource: string
+  onDataReady: (id: number) => void
+  onAnalysisComplete: (id: number) => void
+  selectedModel?: string
+  currency: string
+  setCurrency: (c: string) => void
 }) {
+
   const {
     status,
     loading,
     fetching,
-    updateStatus,
     error,
     fetchData,
-    checkStatus
+    checkStatus,
+    updateStatus
   } = useFinancialData(company, dataSource)
 
-  const [companyId, setCompanyId] = useState<number | null>(null)
-  const [analysisId, setAnalysisId] = useState<number | null>(null)
+  const progress = updateStatus ? {
+    percentage: updateStatus.progress_percentage || 0,
+    message: updateStatus.progress_message || ""
+  } : null
 
-  // 当数据就绪时设置companyId
   useEffect(() => {
-    if (status?.has_data && status.company_id) {
-      setCompanyId(status.company_id)
-    } else {
-      setCompanyId(null)
+    if (status && status.has_data && status.company_id) {
+      onDataReady(status.company_id)
     }
-  }, [status])
-
-  const handleAnalysisComplete = (id: number) => {
-    setAnalysisId(id)
-  }
-
-  const isUpdating = fetching && updateStatus
-  const progress = updateStatus?.progress_percentage || 0
-  const progressStatus = updateStatus?.progress_message || ""
+  }, [status, onDataReady])
 
   return (
     <div className="space-y-6">
+
+      {/* Header Controls */}
       <HeaderPortal>
-        <div className="flex items-center justify-end w-full gap-4 text-sm h-full">
-          {/* 1. 状态显示 (进度或最后更新) */}
-          <div className="flex items-center text-muted-foreground mr-auto">
-            {isUpdating ? (
-              <div className="flex items-center gap-2 text-xs font-mono bg-muted/50 rounded-full px-3 py-1 animate-pulse">
-                <span className="font-bold text-primary">{Math.round(progress)}%</span>
-                <span className="truncate max-w-[200px]">{progressStatus || "Processing..."}</span>
+        <div className="flex items-center gap-2 mr-4 border-r pr-4">
+          <span className="font-bold whitespace-nowrap">{company.company_name}</span>
+          <Badge variant="outline" className="font-mono">{company.symbol}</Badge>
+          <Badge className="text-xs">{company.market}</Badge>
         </div>
-            ) : (
-              status?.has_data && status.last_update && (
-                <div className="flex items-center gap-1.5 text-xs opacity-80">
-                  <CheckCircle2 className="h-3.5 w-3.5 text-green-500" />
-                  <span>已更新: {formatTimestamp(status.last_update.date)}</span>
-                </div>
-              )
-            )}
-          </div>
-
-          {/* 2. 公司基础信息 */}
-          <div className="flex items-center gap-3 border-l pl-4 border-r pr-4 h-8">
-            <span className="font-bold truncate max-w-[200px]">{company.company_name}</span>
-            <Badge variant="secondary" className="font-mono h-6">{company.market} {company.symbol}</Badge>
-          </div>
-
-          {/* 3. 操作按钮 (刷新) */}
+        <div className="flex items-center gap-2 mr-4">
           <Button
-            onClick={() => fetchData(true)}
-            disabled={fetching}
-            variant={!status?.has_data ? "default" : "outline"}
+            variant="outline"
             size="sm"
-            className="h-8"
+            onClick={() => fetchData(true, currency)}
+            disabled={loading || fetching}
+            className="gap-2"
           >
-            {fetching ? (
-              <Loader2 className="h-3.5 w-3.5 animate-spin mr-2" />
-            ) : (
-              <RefreshCw className="h-3.5 w-3.5 mr-2" />
-            )}
-            {status?.has_data ? "更新数据" : "获取数据"}
+            {(loading || fetching) ? <Loader2 className="h-4 w-4 animate-spin" /> : <RefreshCw className="h-4 w-4" />}
+            {(loading || fetching) ? "更新中..." : "更新数据"}
           </Button>
         </div>
+
+        <div className="flex items-center space-x-1 mr-6 border rounded-md p-1 bg-muted/20">
+          {["Auto", "CNY", "USD"].map((opt) => (
+            <button
+              key={opt}
+              onClick={() => setCurrency(opt)}
+              className={`
+                            px-3 py-1 text-xs font-medium rounded-sm transition-all
+                            ${currency === opt
+                  ? "bg-background shadow-sm text-foreground"
+                  : "text-muted-foreground hover:text-foreground hover:bg-muted/50"}
+                        `}
+            >
+              {opt}
+            </button>
+          ))}
+        </div>
+
+        {fetching && (
+          <div className="flex items-center gap-2 mr-4 min-w-[200px]">
+            <span className="text-xs text-muted-foreground whitespace-nowrap">
+              {progress?.message || "准备中..."}
+            </span>
+            <Progress value={progress?.percentage || 0} className="h-2 w-20" />
+          </div>
+        )}
+
+        {!fetching && !loading && <div className="text-xs text-muted-foreground flex items-center gap-1">
+          <CheckCircle2 className="w-3 h-3 text-green-500" /> 已更新: {status?.last_update?.date ? formatTimestamp(status.last_update.date) : "无记录"}
+        </div>}
       </HeaderPortal>
 
-      {/* 数据状态详情 (Card) */}
+      {/* DataStatusCard usage removed because it duplicates logic and caused prop mismatch. 
+          Status is now handled by HeaderPortal controls. 
+      */}
+      {error && (
+        <div className="p-4 border border-destructive/50 bg-destructive/10 rounded-lg text-destructive flex items-center gap-2">
+          <Loader2 className="h-4 w-4" /> {/* Reuse icon or AlertCircle */}
+          <span>{error}</span>
+        </div>
+      )}
 
-
-      {/* 财务数据表格 */}
-      {status?.has_data && companyId && (
-        dataSource === 'Bloomberg' ? (
+      {dataSource === 'Bloomberg' ? (
+        status?.company_id && (
           <BloombergView
-            companyId={companyId}
+            selectedCurrency={currency}
+            userMarket={company.market}
+            companyId={status.company_id}
+            lastUpdate={status.last_update?.date}
           />
+        )
       ) : (
+        status?.company_id && (
           <FinancialTables
-            companyId={companyId}
+            companyId={status.company_id}
             dataSource={dataSource}
           />
         )
       )}
-
-      {/* AI 分析触发器 */}
-      {status?.has_data && companyId && !analysisId && (
-        <AnalysisTrigger
-          companyId={companyId}
-          dataSource={dataSource}
-          model={oneTimeModel}
-          onAnalysisComplete={handleAnalysisComplete}
-        />
-      )}
-
-      {/* AI 分析报告 */}
-      {analysisId && (
-        <AnalysisReport analysisId={analysisId} />
-      )}
     </div>
   )
 }
 
-
-// 搜索组件的包装器，添加选择功能
-function SearchStockWithSelection({ onSelect }: { onSelect: (company: SearchResult) => void }) {
+function SearchStockWithSelection({ onSelect }: { onSelect: (c: SearchResult, s?: string) => void }) {
   return (
     <Card>
       <CardHeader>
-        <CardTitle>开始新的分析</CardTitle>
+        <CardTitle>搜索股票</CardTitle>
       </CardHeader>
       <CardContent>
         <SearchStock onCompanySelect={onSelect} />

frontend/src/components/app-sidebar.tsx

@@ -0,0 +1,41 @@
+
+import { Home, LineChart, BarChart3, Search } from "lucide-react"
+import { cn } from "@/lib/utils"
+import { Button } from "@/components/ui/button"
+
+interface AppSidebarProps {
+    activeTab: string
+    onTabChange: (tab: string) => void
+    className?: string
+    hasSelectedCompany: boolean
+}
+
+export function AppSidebar({ activeTab, onTabChange, className, hasSelectedCompany }: AppSidebarProps) {
+    const navItems = [
+        { id: "home", label: "首页", icon: Home, disabled: false },
+        { id: "financial", label: "财务数据", icon: BarChart3, disabled: !hasSelectedCompany },
+        { id: "chart", label: "股价图", icon: LineChart, disabled: !hasSelectedCompany },
+    ]
+
+    return (
+        <div className={cn("w-64 border-r bg-card flex flex-col p-4 gap-2", className)}>
+
+            {navItems.map((item) => (
+                <Button
+                    key={item.id}
+                    variant={activeTab === item.id ? "secondary" : "ghost"}
+                    className={cn(
+                        "justify-start gap-3 h-12 text-base font-normal",
+                        activeTab === item.id && "bg-secondary font-medium",
+                        activeTab !== item.id && "text-muted-foreground"
+                    )}
+                    onClick={() => !item.disabled && onTabChange(item.id)}
+                    disabled={item.disabled}
+                >
+                    <item.icon className="h-5 w-5" />
+                    {item.label}
+                </Button>
+            ))}
+        </div>
+    )
+}

frontend/src/components/bloomberg-view.tsx

@@ -12,14 +12,19 @@ import type { FinancialDataResponse } from "@/lib/types"
 interface BloombergViewProps {
     companyId: number
     onBack?: () => void
+    selectedCurrency?: string
+    userMarket?: string
+    lastUpdate?: string
 }
 
-export function BloombergView({ companyId, onBack }: BloombergViewProps) {
+export function BloombergView({ companyId, onBack, selectedCurrency = "Auto", userMarket, lastUpdate }: BloombergViewProps) {
     const [data, setData] = useState<FinancialDataResponse | null>(null)
     const [loading, setLoading] = useState(true)
     const [error, setError] = useState("")
 
     const loadData = async () => {
+        if (!companyId) return
+
         setLoading(true)
         setError("")
         try {
@@ -37,7 +42,7 @@ export function BloombergView({ companyId, onBack }: BloombergViewProps) {
 
     useEffect(() => {
         loadData()
-    }, [companyId])
+    }, [companyId, lastUpdate])
 
     if (loading) {
         return (
@@ -67,24 +72,177 @@ export function BloombergView({ companyId, onBack }: BloombergViewProps) {
     const mergedData = data.unified_data || []
 
     return (
-        <div className="space-y-8">
-            <div className="flex items-center justify-between">
-                <h2 className="text-2xl font-bold flex items-center gap-2">
+        <div className="space-y-6">
+            <div className="flex flex-col gap-4">
+                <div className="flex items-center justify-between flex-wrap gap-4">
+                    <div className="flex items-center gap-6">
+                        <h2 className="text-2xl font-bold flex items-center gap-2 whitespace-nowrap">
                             <DollarSign className="w-6 h-6" />
-                    Bloomberg 财务数据总览
+                            财务概览
                         </h2>
+                        {/* Insert Inline Header Info here */}
+                        <BasicInfoHeader data={mergedData} selectedCurrency={selectedCurrency} userMarket={userMarket} />
+                    </div>
+
+                    <div className="flex gap-2 ml-auto">
                         <Button variant="outline" size="sm" onClick={loadData}>
                             <RefreshCw className="w-4 h-4 mr-2" />
                             刷新数据
                         </Button>
                     </div>
+                </div>
+            </div>
 
-            <RawDataTable title="财务数据总表" data={mergedData} />
+            <RawDataTable title="财务数据总表" data={mergedData} selectedCurrency={selectedCurrency} userMarket={userMarket} />
         </div>
     )
 }
 
-function RawDataTable({ data, title }: { data: any[], title: string }) {
+// ---------------------------------------------------------------------------
+// Basic Info Header Component
+// ---------------------------------------------------------------------------
+function BasicInfoHeader({ data, selectedCurrency = "Auto", userMarket }: { data: any[], selectedCurrency?: string, userMarket?: string }) {
+    if (!data || data.length === 0) return null
+
+    // 1. Determine Target Currency (Logic shared with Table)
+    let targetCurrency = selectedCurrency
+    if (targetCurrency === "Auto" && userMarket) {
+        const market = userMarket.toUpperCase()
+        if (market.includes("JP")) targetCurrency = "JPY"
+        else if (market.includes("VN")) targetCurrency = "VND"
+        else if (market.includes("CN")) targetCurrency = "CNY"
+        else if (market.includes("HK")) targetCurrency = "HKD"
+        else targetCurrency = "USD"
+    }
+
+    // 2. Find Latest Valid Data for each field
+    // We sort data by date descending to get latest first.
+    // Note: 'end_date' is the reporting period, 'update_date' is when it was fetched. 
+    // Usually PE/PB/MarketCap are "current" values, so they might be associated with the latest reporting period or a special "current" row.
+    // Based on bloomberg logic, they are saved as time series. We take the latest available.
+
+    // Sort rows by date descending
+    const sortedRows = [...data].sort((a, b) => new Date(b.end_date).getTime() - new Date(a.end_date).getTime())
+
+    // Helper to find first non-null value
+    const findValue = (keys: string[]) => {
+        for (const row of sortedRows) {
+            // Check currency match if required (PE/PB/MarketCap are currency dependent usually, or at least MarketCap is)
+            // However, PE/PB are ratios.
+            // Strict currency check for everything to be safe?
+            if (targetCurrency !== 'Auto') {
+                if (row.currency && row.currency !== targetCurrency) continue
+            } else {
+                // If auto, try to match first row's currency if established, or just take any?
+                // Let's stick to the targetCurrency logic used in Table which resolved 'Auto' to a specific one if possible.
+            }
+
+            for (const key of keys) {
+                if (row[key] !== null && row[key] !== undefined && row[key] !== '') {
+                    return { value: row[key], row }
+                }
+            }
+        }
+        return null
+    }
+
+    // Extract Fields
+    const companyName = findValue(['company_name'])?.value || '-'
+
+    // Find latest update_date from ALL rows matching currency
+    let maxUpdateDate = ''
+    for (const row of data) {
+        if (targetCurrency !== 'Auto' && row.currency && row.currency !== targetCurrency) continue
+        if (row.update_date && row.update_date > maxUpdateDate) {
+            maxUpdateDate = row.update_date
+        }
+    }
+    const updateDate = maxUpdateDate
+    // update_date is a timestamp string "2023-10-xx 10:00:00". User wants "Day only".
+    const displayDate = updateDate ? formatDate(updateDate) : '-'
+
+    const pe = findValue(['pe', 'pe_ratio'])?.value
+    const pb = findValue(['pb', 'pb_ratio'])?.value
+    const marketCapTuple = findValue(['market_cap'])
+    const marketCap = marketCapTuple?.value
+    const marketCapCurrency = marketCapTuple?.row?.currency || targetCurrency
+
+    const abroadRev = findValue(['rev_abroad', 'pct_revenue_from_foreign_sources'])?.value
+    const divYield = findValue(['dividend_yield', 'dividend_12_month_yield'])?.value
+    const ipoDateRaw = findValue(['ipo_date', 'IPO_date', 'eqy_init_po_dt'])?.value
+    const ipoDate = ipoDateRaw ? formatDate(ipoDateRaw) : '-'
+
+    // Formatters
+    const formatRatio = (val: any) => {
+        if (val === undefined || val === null) return '-'
+        const num = parseFloat(val)
+        if (isNaN(num)) return '-'
+        return num.toFixed(2)
+    }
+
+    const formatPercent = (val: any) => {
+        if (val === undefined || val === null) return '-'
+        const num = parseFloat(val)
+        if (isNaN(num)) return '-'
+        return num.toFixed(2) + '%'
+    }
+
+    const formatMoney = (val: any, currency: string) => {
+        if (val === undefined || val === null) return '-'
+        let num = parseFloat(val)
+        if (isNaN(num)) return '-'
+
+        // Backend now returns Market Cap in Millions for ALL currencies (via BDH).
+        // To convert Millions to "Yi" (100 Million), we divide by 100.
+        // This applies uniformly to JPY, USD, CNY, etc.
+        num = num / 100
+
+        return num.toLocaleString('en-US', { maximumFractionDigits: 2 }) + ' 亿'
+    }
+
+    return (
+        <div className="flex items-center gap-6 text-sm bg-muted/30 px-4 py-2 rounded-lg border">
+            {/* Group 1: Identity */}
+            <div className="flex flex-col gap-0.5 border-r pr-6">
+                <span className="font-bold text-lg text-primary truncate max-w-[200px]" title={companyName}>{companyName}</span>
+                <div className="flex gap-3 text-xs text-muted-foreground">
+                    <span>IPO: {ipoDate}</span>
+                    <span>更新: {displayDate}</span>
+                </div>
+            </div>
+
+            {/* Group 2: Key Ratios */}
+            <div className="flex items-center gap-6">
+                <div className="flex flex-col items-center">
+                    <span className="text-muted-foreground text-xs scale-90">PE</span>
+                    <span className="font-mono font-bold text-base">{formatRatio(pe)}</span>
+                </div>
+                <div className="flex flex-col items-center">
+                    <span className="text-muted-foreground text-xs scale-90">PB</span>
+                    <span className="font-mono font-bold text-base">{formatRatio(pb)}</span>
+                </div>
+                <div className="flex flex-col items-center">
+                    <span className="text-muted-foreground text-xs scale-90">股息率</span>
+                    <span className="font-mono font-bold text-base">{formatPercent(divYield)}</span>
+                </div>
+            </div>
+
+            {/* Group 3: Market Size & Biz */}
+            <div className="flex items-center gap-6 border-l pl-6">
+                <div className="flex flex-col items-end">
+                    <span className="text-muted-foreground text-xs scale-90">市值 ({marketCapCurrency})</span>
+                    <span className="font-mono font-bold text-base text-blue-600 dark:text-blue-400">{formatMoney(marketCap, marketCapCurrency)}</span>
+                </div>
+                <div className="flex flex-col items-end">
+                    <span className="text-muted-foreground text-xs scale-90">海外收入</span>
+                    <span className="font-mono font-bold text-base">{formatPercent(abroadRev)}</span>
+                </div>
+            </div>
+        </div>
+    )
+}
+
+function RawDataTable({ data, title, selectedCurrency = "Auto", userMarket }: { data: any[], title: string, selectedCurrency?: string, userMarket?: string }) {
     if (!data || data.length === 0) {
         return (
             <Card>
@@ -98,12 +256,53 @@ function RawDataTable({ data, title }: { data: any[], title: string }) {
         )
     }
 
+
+
+    // ---------------------------------------------------------------------------
+    // 1. Filter Data Rows (Handle Multi-Currency) - DO THIS FIRST!
+    // ---------------------------------------------------------------------------
+
+    // Determine Target Currency Strategy
+    let targetCurrency = selectedCurrency
+    if (targetCurrency === "Auto" && userMarket) {
+        const market = userMarket.toUpperCase()
+        if (market.includes("JP")) targetCurrency = "JPY"
+        else if (market.includes("VN")) targetCurrency = "VND"
+        else if (market.includes("CN")) targetCurrency = "CNY"
+        else if (market.includes("HK")) targetCurrency = "HKD"
+        else targetCurrency = "USD"
+    }
+
+    const filteredRows = data.filter(row => {
+        // Basic Validity Check
+        if (!row || row.revenue === null || row.revenue === undefined) return false
+
+        // Currency Filtering
+        // Case 1: Specific Currency Selected (or resolved from Auto)
+        if (targetCurrency !== "Auto") {
+            if (row.currency && row.currency !== targetCurrency) {
+                return false
+            }
+        }
+        // Case 2: Pure Auto (Fallback if no userMarket)
+        else if (selectedCurrency === "Auto") {
+            if (data.length > 0 && data[0].currency && row.currency && row.currency !== data[0].currency) {
+                return false
+            }
+        }
+
+        return true
+    })
+
+    // ---------------------------------------------------------------------------
+    // 2. Extract Indicators (From Filtered Data ONLY)
+    // ---------------------------------------------------------------------------
     // 提取所有指标键值 (排除元数据)
     const excludeKeys = ['id', 'company_code', 'code', 'symbol', 'market', 'update_date', 'create_time', 'end_date', 'ts_code']
 
     // 从合并后的数据中收集所有可能的指标
     const allIndicators = new Set<string>()
-    data.forEach(row => {
+    filteredRows.forEach(row => {
         Object.keys(row).forEach(k => {
             if (!excludeKeys.includes(k)) {
                 allIndicators.add(k)
@@ -166,19 +365,29 @@ function RawDataTable({ data, title }: { data: any[], title: string }) {
         return a.localeCompare(b)
     })
 
+    // ---------------------------------------------------------------------------
+    // 1. Filter Data Rows (Handle Multi-Currency)
+    // ---------------------------------------------------------------------------
+    // We must filter BEFORE creating the Map, because multiple rows might exist
+    // for the same date (e.g. 2023 JPY and 2023 USD).
+    // The Map key is 'end_date', so it can only hold one currency's data per date.
+
+
+
+
+
+    // ---------------------------------------------------------------------------
+    // 2. Build Data Structures from Filtered Rows
+    // ---------------------------------------------------------------------------
+
     // 构建查找表: Map<DateString, RowData>
     const dataMap = new Map()
-    data.forEach(row => {
+    filteredRows.forEach(row => {
         dataMap.set(row.end_date, row)
     })
 
-    // 过滤日期: 只保留有营业收入 (revenue) 的列
-    const dates = Array.from(new Set(data.map(row => row.end_date)))
-        .filter(date => {
-            const row = dataMap.get(date)
-            // Check if revenue exists and is not null/undefined
-            return row && row.revenue !== null && row.revenue !== undefined
-        })
+    // 提取日期列表
+    const dates = Array.from(new Set(filteredRows.map(row => row.end_date)))
         .sort((a, b) => new Date(b).getTime() - new Date(a).getTime())
 
 
@@ -365,7 +574,7 @@ function RawDataTable({ data, title }: { data: any[], title: string }) {
                                         }
 
                                         return (
-                                            <TableCell key={date} className={`text-right px-4 font-mono ${highlightClass} ${textStyle}`}>
+                                            <TableCell key={date} className={`text-right px-4 tabular-nums ${highlightClass} ${textStyle}`} style={{ fontFamily: 'ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace' }}>
                                                 {formatCellValue(indicator, value)}
                                             </TableCell>
                                         )

frontend/src/components/financial-tables.tsx

@@ -155,7 +155,7 @@ function FinancialTable({ data, title }: FinancialTableProps) {
                         {data.map((row, idx) => (
                             <TableRow key={idx}>
                                 {columns.map((column) => (
-                                    <TableCell key={column} className="font-mono text-right">
+                                    <TableCell key={column} className="text-right tabular-nums" style={{ fontFamily: 'ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace' }}>
                                         {formatCellValue(column, row[column])}
                                     </TableCell>
                                 ))}
@@ -220,7 +220,7 @@ function TransposedFinancialTable({ data, title }: FinancialTableProps) {
                                 </TableCell>
                                 {/* 值 */}
                                 {sortedData.map((row, rowIdx) => (
-                                    <TableCell key={rowIdx} className="font-mono text-right px-4">
+                                    <TableCell key={rowIdx} className="text-right px-4 tabular-nums" style={{ fontFamily: 'ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace' }}>
                                         {formatCellValue(indicator, row[indicator])}
                                     </TableCell>
                                 ))}

frontend/src/components/history-list.tsx

@@ -1,13 +1,17 @@
 "use client"
 
 import { useEffect, useState } from "react"
-import Link from "next/link"
 import { getReports } from "@/lib/api"
 import { Badge } from "@/components/ui/badge"
 import { Card, CardContent, CardHeader, CardTitle, CardDescription } from "@/components/ui/card"
 import { Loader2 } from "lucide-react"
+import type { SearchResult } from "@/lib/types"
 
-export function HistoryList() {
+interface HistoryListProps {
+    onSelect?: (company: SearchResult, dataSource?: string) => void
+}
+
+export function HistoryList({ onSelect }: HistoryListProps) {
     const [reports, setReports] = useState<any[]>([])
     const [loading, setLoading] = useState(true)
 
@@ -22,8 +26,19 @@ export function HistoryList() {
     return (
         <div className="grid gap-4 md:grid-cols-2 lg:grid-cols-3">
             {reports.map((report: any) => (
-                <Link key={report.id} href={`/analysis/${report.id}`}>
-                    <Card className="hover:shadow-lg transition-shadow cursor-pointer">
+                <Card
+                    key={report.id}
+                    className="hover:shadow-lg transition-shadow cursor-pointer"
+                    onClick={() => {
+                        if (onSelect) {
+                            onSelect({
+                                symbol: report.symbol,
+                                market: report.market,
+                                company_name: report.company_name
+                            }, report.data_source)
+                        }
+                    }}
+                >
                     <CardHeader>
                         <CardTitle className="text-lg">{report.company_name}</CardTitle>
                         <CardDescription>
@@ -52,7 +67,6 @@ export function HistoryList() {
                         )}
                     </CardContent>
                 </Card>
-                </Link>
             ))}
         </div>
     )

frontend/src/components/nav-header.tsx

@@ -105,27 +105,27 @@ export function NavHeader() {
                     </Select>
 
                     <Select onValueChange={handleCompanyChange}>
-                        <SelectTrigger className="w-[240px] h-8 text-xs font-mono">
-                            <SelectValue placeholder="选择最近浏览的代码..." />
+                        <SelectTrigger className="w-[120px] h-8 text-xs font-mono">
+                            <SelectValue placeholder="代码..." />
                         </SelectTrigger>
                         <SelectContent className="z-[70]">
                             {companies.map((c) => (
                                 <SelectItem key={`${c.symbol}:${c.market}`} value={`${c.symbol}:${c.market}`}>
                                     <span className="flex items-center gap-2 w-full">
-                                        <span className="font-bold w-[60px] text-left">{c.symbol}</span>
+                                        <span className="font-bold w-[50px] text-left">{c.symbol}</span>
                                         <span className="truncate flex-1 text-left">{c.company_name}</span>
 
                                     </span>
                                 </SelectItem>
                             ))}
                             {companies.length === 0 && (
-                                <div className="p-2 text-xs text-muted-foreground text-center">该数据源暂无历史记录</div>
+                                <div className="p-2 text-xs text-muted-foreground text-center">无记录</div>
                             )}
                         </SelectContent>
                     </Select>
                 </div>
 
-                <div className="w-[300px] ml-6">
+                <div className="w-[160px] ml-4">
                     <HeaderSearch defaultDataSource={dataSource} />
                 </div>
 

frontend/src/components/stock-chart.tsx

@@ -0,0 +1,83 @@
+
+"use client"
+
+import { useEffect, useRef, useState } from "react"
+
+interface StockChartProps {
+    symbol: string
+    market: string
+}
+
+export function StockChart({ symbol, market }: StockChartProps) {
+    const containerRef = useRef<HTMLDivElement>(null)
+
+    useEffect(() => {
+        if (!containerRef.current) return
+
+        // Clear previous widget
+        containerRef.current.innerHTML = ""
+
+        // Create wrapper for widget
+        const widgetContainer = document.createElement("div")
+        widgetContainer.className = "tradingview-widget-container__widget h-full w-full"
+        containerRef.current.appendChild(widgetContainer)
+
+        const script = document.createElement("script")
+        script.src = "https://s3.tradingview.com/external-embedding/embed-widget-advanced-chart.js"
+        script.type = "text/javascript"
+        script.async = true
+
+        // Map Market/Symbol to TradingView format
+        let exchange = "NASDAQ"
+        let tvSymbol = symbol
+
+        if (market === "CN") {
+            if (symbol.startsWith("6")) exchange = "SSE"
+            else if (symbol.startsWith("0") || symbol.startsWith("3")) exchange = "SZSE"
+            else if (symbol.startsWith("4") || symbol.startsWith("8")) exchange = "BSE"
+        } else if (market === "HK") {
+            exchange = "HKEX"
+            // TradingView usually expects HK stocks without leading zeros if they are 4 digits, but let's check.
+            // Actually HKEX:700 works, HKEX:0700 might work too. Let's try to keep it safe.
+            tvSymbol = parseInt(symbol).toString()
+        } else if (market === "JP") {
+            exchange = "TSE"
+        } else if (market === "VN") {
+            exchange = "HOSE" // Primary VN exchange
+        } else {
+            // US
+            exchange = "NASDAQ" // Default, could be NYSE
+            // Basic heuristic for US
+            // If 4 chars or more, likely Nasdaq, <=3 likely NYSE? Not 100% accurate but acceptable default.
+        }
+
+        const fullSymbol = `${exchange}:${tvSymbol}`
+
+        script.innerHTML = JSON.stringify({
+            "autosize": true,
+            "symbol": fullSymbol,
+            "interval": "D",
+            "timezone": "Asia/Shanghai",
+            "theme": "light",
+            "style": "1",
+            "locale": "zh_CN",
+            "enable_publishing": false,
+            "allow_symbol_change": true,
+            "calendar": false,
+            "support_host": "https://www.tradingview.com"
+        })
+
+        containerRef.current.appendChild(script)
+
+    }, [symbol, market])
+
+    return (
+        <div className="h-[calc(100vh-100px)] w-full bg-background rounded-lg border overflow-hidden p-1">
+            <div className="tradingview-widget-container h-full w-full" ref={containerRef}>
+                <div className="tradingview-widget-copyright text-xs text-center text-muted-foreground p-2">
+                    TradingView Chart by <a href="https://cn.tradingview.com/" rel="noopener nofollow" target="_blank">TradingView</a>
+                </div>
+            </div>
+        </div>
+    )
+}

frontend/src/hooks/use-financial-data.ts

@@ -58,7 +58,7 @@ export function useFinancialData(company: SearchResult | null, dataSource: strin
     }, [updateId, fetching, checkStatus])
 
     // Trigger data fetch
-    const fetchData = async (forceRefresh = false) => {
+    const fetchData = async (forceRefresh = false, currency?: string) => {
         if (!company) return
         setFetching(true)
         setError("")
@@ -68,7 +68,8 @@ export function useFinancialData(company: SearchResult | null, dataSource: strin
                 symbol: company.symbol,
                 company_name: company.company_name,
                 data_source: dataSource,
-                force_refresh: forceRefresh
+                force_refresh: forceRefresh,
+                currency: currency
             })
             setUpdateId(response.update_id)
         } catch (err: any) {

frontend/src/lib/types.ts

@@ -58,6 +58,7 @@ export interface FetchDataRequest {
     company_name: string
     data_source: string
     force_refresh?: boolean
+    currency?: string
 }
 
 export interface FetchDataResponse {