fix: 修改同步数据

MYSQL/新增表结构/dong_cai_secondary_industry_statistics.sql

@@ -10,6 +10,26 @@ CREATE TABLE `dong_cai_secondary_industry_statistics`  (
   `business_date` date NOT NULL COMMENT '业务日期',
   `security_code` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '证券代码',
   `security_name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '证券名称',
+  `sort` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '动量排名',
+  `sort_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '动量排名变化',
+  `trend_value` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '动量值',
+  `trend_value_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '动量值变化',
+  `sort5` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日动量排名',
+  `sort5_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日动量排名变化',
+  `trend5_value` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日动量值',
+  `trend5_value_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日动量值变化',
+  `sort10` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日动量排名',
+  `sort10_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日动量排名变化',
+  `trend10_value` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日动量值',
+  `trend10_value_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日动量值变化',
+  `sort20` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日动量排名',
+  `sort20_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日动量排名变化',
+  `trend20_value` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日动量值',
+  `trend20_value_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日动量值变化',
+  `sort30` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日动量排名',
+  `sort30_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日动量排名变化',
+  `trend30_value` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日动量值',
+  `trend30_value_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日动量值变化',
   `turnover` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额(百万元)',
   `turnover_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额变化(百万元)',
   `turnover_ratio` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额占比',

transferData_python.py

@@ -1,18 +1,36 @@
 #导入动量原始股
 import pymysql
 
-# 数据库A的连接信息
+# #数据库A的连接信息；NAS数据库
+# db_a_config = {
+#     'host': '192.168.0.222',
+#     'user': 'root',
+#     'password': '1qazse42W3',
+#     'db': 'ry',
+#     'charset': 'utf8mb4',
+# }
+
+# # 数据库B的连接信息；NAS数据库
+# db_b_config = {
+#     'host': '192.168.0.222',
+#     'user': 'root',
+#     'password': '1qazse42W3',
+#     'db': 'mojin',
+#     'charset': 'utf8mb4',
+# }
+
+# 数据库A的连接信息；腾讯云数据库
 db_a_config = {
-    'host': '192.168.0.222',
+    'host': '124.223.98.178',
     'user': 'root',
     'password': '1qazse42W3',
     'db': 'ry',
     'charset': 'utf8mb4',
 }
 
-# 数据库B的连接信息
+# 数据库B的连接信息；腾讯云数据库
 db_b_config = {
-    'host': '192.168.0.222',
+    'host': '124.223.98.178',
     'user': 'root',
     'password': '1qazse42W3',
     'db': 'mojin',
@@ -30,8 +48,8 @@ try:
 
     stock_basic_map = {}
 
-    #查询交易日数据
+    #查询交易日数据  8月9日，更新数据到8月8日
-    sql_trade_qurey = 'select date,week,trade from trade_dates where trade = %s and date > "2023-07-20"'
+    sql_trade_qurey = 'select date,week,trade from trade_dates where trade = %s and date > "2023-08-02"'
     sql_trade = "trading"
     db_a_cursor.execute(sql_trade_qurey,sql_trade)
     trading_dates = db_a_cursor.fetchall()
@@ -59,7 +77,10 @@ try:
     
     for row in trading_dates:
         trading_date,week,trade = row
-        print('start transfer ',trading_date , ' data.')
+        print('start transfer data ',trading_date , ' data.')
+        if trading_date == '2023-08-09':
+            print('break then finish transfer data ',trading_date , ' data.')
+            break
         #查询日交易数据
         sql_stock_query = 'select code,trade_day, open,close,high,low,islimit,isdrop,differrange,trade_days,volumn,amount,differrange10,differrange20,differrange60,avg_volume20,freefloat_market_value,total_market_value,agencies_hold from stocks where trade_day = %s'
         db_a_cursor.execute(sql_stock_query,trading_date)

transferIndustryData_python.py

@@ -2,41 +2,41 @@
 import pymysql
 
 #数据库A的连接信息；NAS数据库
-db_a_config = {
-    'host': '192.168.0.222',
-    'user': 'root',
-    'password': '1qazse42W3',
-    'db': 'ry',
-    'charset': 'utf8mb4',
-}
-
-# 数据库B的连接信息；NAS数据库
-db_b_config = {
-    'host': '192.168.0.222',
-    'user': 'root',
-    'password': '1qazse42W3',
-    'db': 'mojin',
-    'charset': 'utf8mb4',
-}
-
-# # 数据库A的连接信息；腾讯云数据库
 # db_a_config = {
-#     'host': '124.223.98.178',
+#     'host': '192.168.0.222',
 #     'user': 'root',
 #     'password': '1qazse42W3',
 #     'db': 'ry',
 #     'charset': 'utf8mb4',
 # }
 
-# # 数据库B的连接信息；腾讯云数据库
+# # 数据库B的连接信息；NAS数据库
 # db_b_config = {
-#     'host': '124.223.98.178',
+#     'host': '192.168.0.222',
 #     'user': 'root',
 #     'password': '1qazse42W3',
 #     'db': 'mojin',
 #     'charset': 'utf8mb4',
 # }
 
+# 数据库A的连接信息；腾讯云数据库
+db_a_config = {
+    'host': '124.223.98.178',
+    'user': 'root',
+    'password': '1qazse42W3',
+    'db': 'ry',
+    'charset': 'utf8mb4',
+}
+
+# 数据库B的连接信息；腾讯云数据库
+db_b_config = {
+    'host': '124.223.98.178',
+    'user': 'root',
+    'password': '1qazse42W3',
+    'db': 'mojin',
+    'charset': 'utf8mb4',
+}
+
 try:
     # 连接数据库A
     db_a_conn = pymysql.connect(**db_a_config)
@@ -48,15 +48,18 @@ try:
 
     stock_basic_map = {}
 
-    #查询交易日数据
+    #查询交易日数据 更新到8月8日
-    sql_trade_qurey = 'select date,week,trade from trade_dates where trade = %s and date > "2022-01-01"'
+    sql_trade_qurey = 'select date,week,trade from trade_dates where trade = %s and date > "2023-07-28"'
     sql_trade = "trading"
     db_a_cursor.execute(sql_trade_qurey,sql_trade)
     trading_dates = db_a_cursor.fetchall()
 
     for row in trading_dates:
         trading_date,week,trade = row
-        print('start transfer ',trading_date , ' data.')
+        print('start transfer IndustryData ',trading_date , ' data.')
+        if trading_date == '2023-08-09':
+            print('break then finished transfer IndustryData',trading_date , ' data.')
+            break
         #查询日交易数据
         sql_stock_query = 'select code,name,trade_day, open,close,high,low,differrange,volume,amount,limitupnum,limitdownnum,suspendnum,risenum,fallnum,flatnum,componentnum,mv,pettm,pettm_mid,liqmv,rcnthigh,rcntlow from stock_index where trade_day = %s'
         db_a_cursor.execute(sql_stock_query,trading_date)

transferIndustrySatistics_python.py

@@ -60,6 +60,98 @@ def getTradingDates(dbconfig,dbcursor,state,date):
         periodIndex += 1
     return period_trading_dateMap
 
+def getTrends(dbconfig,dbcursor,startDate):
+    trendsMap = {}
+    industryMap = {}
+    sql_trade_period_qurey = 'select code,name from stock_index where trade_day = %s'
+    dbcursor.execute(sql_trade_period_qurey,'2023-05-05')
+    datas = dbcursor.fetchall()
+    for row in datas:
+        code,name = row
+        industryMap[name] = code
+
+    sql_trend_qurey = 'select blemind2,trend_value,trend_value_change,sort,sort_change from trends where trade_day = %s and type = %s'
+    dbcursor.execute(sql_trend_qurey,(startDate,'1'))
+    totalTrendsData = dbcursor.fetchall()
+    for row in totalTrendsData:
+        blemind2,trend_value,trend_value_change,sort,sort_change = row
+        trendsMap[industryMap[blemind2]] = {'code': industryMap[blemind2],'sort':sort,'sort_change':sort_change,'trend_value':trend_value,'trend_value_change':trend_value_change,
+                                            'sort5':-1,'sort5_change':-1,'trend5_value':-1,'trend5_value_change':-1,
+                                            'sort10':-1,'sort10_change':-1,'trend10_value':-1,'trend10_value_change':-1,
+                                            'sort20':-1,'sort20_change':-1,'trend20_value':-1,'trend20_value_change':-1,
+                                            'sort30':-1,'sort30_change':-1,'trend30_value':-1,'trend30_value_change':-1}
+        
+    sql_trend_qurey = 'select blemind2,trend_value,trend_value_change,sort,sort_change from trends where trade_day = %s and type = %s'
+    dbcursor.execute(sql_trend_qurey,(startDate,'5'))
+    totalTrendsData = dbcursor.fetchall()
+    for row in totalTrendsData:
+        blemind2,trend_value,trend_value_change,sort,sort_change = row
+        if industryMap[blemind2] not in trendsMap:
+            trendsMap[industryMap[blemind2]] = {'code': industryMap[blemind2],'sort':-1,'sort_change':-1,'trend_value':-1,'trend_value_change':-1,
+                                            'sort5':sort,'sort5_change':sort_change,'trend5_value':trend_value,'trend5_value_change':trend_value_change,
+                                            'sort10':-1,'sort10_change':-1,'trend10_value':-1,'trend10_value_change':-1,
+                                            'sort20':-1,'sort20_change':-1,'trend20_value':-1,'trend20_value_change':-1,
+                                            'sort30':-1,'sort30_change':-1,'trend30_value':-1,'trend30_value_change':-1}
+        else:
+            trendsMap[industryMap[blemind2]]['sort5'] = sort
+            trendsMap[industryMap[blemind2]]['sort5_change'] = sort_change
+            trendsMap[industryMap[blemind2]]['trend5_value'] = trend_value
+            trendsMap[industryMap[blemind2]]['trend5_value_change'] = trend_value_change
+
+    sql_trend_qurey = 'select blemind2,trend_value,trend_value_change,sort,sort_change from trends where trade_day = %s and type = %s'
+    dbcursor.execute(sql_trend_qurey,(startDate,'10'))
+    totalTrendsData = dbcursor.fetchall()
+    for row in totalTrendsData:
+        blemind2,trend_value,trend_value_change,sort,sort_change = row
+        if industryMap[blemind2] not in trendsMap:
+            trendsMap[industryMap[blemind2]] = {'code': industryMap[blemind2],'sort':-1,'sort_change':-1,'trend_value':-1,'trend_value_change':-1,
+                                            'sort5':-1,'sort5_change':-1,'trend5_value':-1,'trend5_value_change':-1,
+                                            'sort10':sort,'sort10_change':sort_change,'trend10_value':trend_value,'trend10_value_change':trend_value_change,
+                                            'sort20':-1,'sort20_change':-1,'trend20_value':-1,'trend20_value_change':-1,
+                                            'sort30':-1,'sort30_change':-1,'trend30_value':-1,'trend30_value_change':-1}
+        else:
+            trendsMap[industryMap[blemind2]]['sort10'] = sort
+            trendsMap[industryMap[blemind2]]['sort10_change'] = sort_change
+            trendsMap[industryMap[blemind2]]['trend10_value'] = trend_value
+            trendsMap[industryMap[blemind2]]['trend10_value_change'] = trend_value_change
+    
+    sql_trend_qurey = 'select blemind2,trend_value,trend_value_change,sort,sort_change from trends where trade_day = %s and type = %s'
+    dbcursor.execute(sql_trend_qurey,(startDate,'20'))
+    totalTrendsData = dbcursor.fetchall()
+    for row in totalTrendsData:
+        blemind2,trend_value,trend_value_change,sort,sort_change = row
+        if industryMap[blemind2] not in trendsMap:
+            trendsMap[industryMap[blemind2]] = {'code': industryMap[blemind2],'sort':-1,'sort_change':-1,'trend_value':-1,'trend_value_change':-1,
+                                            'sort5':-1,'sort5_change':-1,'trend5_value':-1,'trend5_value_change':-1,
+                                            'sort10':-1,'sort10_change':-1,'trend10_value':-1,'trend10_value_change':-1,
+                                            'sort20':sort,'sort20_change':sort_change,'trend20_value':trend_value,'trend20_value_change':trend_value_change,
+                                            'sort30':-1,'sort30_change':-1,'trend30_value':-1,'trend30_value_change':-1}
+        else:
+            trendsMap[industryMap[blemind2]]['sort20'] = sort
+            trendsMap[industryMap[blemind2]]['sort20_change'] = sort_change
+            trendsMap[industryMap[blemind2]]['trend20_value'] = trend_value
+            trendsMap[industryMap[blemind2]]['trend20_value_change'] = trend_value_change
+    
+    sql_trend_qurey = 'select blemind2,trend_value,trend_value_change,sort,sort_change from trends where trade_day = %s and type = %s'
+    dbcursor.execute(sql_trend_qurey,(startDate,'30'))
+    totalTrendsData = dbcursor.fetchall()
+    for row in totalTrendsData:
+        blemind2,trend_value,trend_value_change,sort,sort_change = row
+        if industryMap[blemind2] not in trendsMap:
+            trendsMap[industryMap[blemind2]] = {'code': industryMap[blemind2],'sort':-1,'sort_change':-1,'trend_value':-1,'trend_value_change':-1,
+                                            'sort5':-1,'sort5_change':-1,'trend5_value':-1,'trend5_value_change':-1,
+                                            'sort10':-1,'sort10_change':-1,'trend10_value':-1,'trend10_value_change':-1,
+                                            'sort20':-1,'sort20_change':-1,'trend20_value':-1,'trend20_value_change':-1,
+                                            'sort30':sort,'sort30_change':sort_change,'trend30_value':trend_value,'trend30_value_change':trend_value_change}
+        else:
+            trendsMap[industryMap[blemind2]]['sort30'] = sort
+            trendsMap[industryMap[blemind2]]['sort30_change'] = sort_change
+            trendsMap[industryMap[blemind2]]['trend30_value'] = trend_value
+            trendsMap[industryMap[blemind2]]['trend30_value_change'] = trend_value_change
+
+    return trendsMap
+
+
 def getPeriodTurnOver(dbconfig,dbcursor,startDate,endDate):
     periodTurnOverMap = {}
     total = Decimal('0.00')
@@ -291,6 +383,8 @@ def main():
             periodUpDownMap30 = getPeriodDiff(db_a_conn,db_a_cursor,period_trading_dateMap['30'],trading_date,hasPeriodUpDownMap30)
             hasPeriodUpDownMap30 = False if periodUpDownMap30 is None else len(periodUpDownMap30) > 0 
 
+            trendDatas = getTrends(db_a_conn,db_a_cursor,trading_date)
+
             totalTunrover = Decimal('0.00')
             #查询日交易的所有成交额，用于计算占比等
             sql_stock_query = 'select code,sum(amount) as turnover from stock_index where trade_day = %s '
@@ -326,6 +420,28 @@ def main():
                 # 总成交额
                 # totalTunrover += turnover
 
+                # 动量趋势
+                sort = trendDatas[code]['sort'] if code in trendDatas else Decimal('-1')
+                sort_change = trendDatas[code]['sort_change'] if code in trendDatas else Decimal('-1')
+                sort5 = trendDatas[code]['sort5'] if code in trendDatas else Decimal('-1')
+                sort5_change = trendDatas[code]['sort5_change'] if code in trendDatas else Decimal('-1')
+                sort10 = trendDatas[code]['sort10'] if code in trendDatas else Decimal('-1')
+                sort10_change = trendDatas[code]['sort10_change'] if code in trendDatas else Decimal('-1')
+                sort20 = trendDatas[code]['sort20'] if code in trendDatas else Decimal('-1')
+                sort20_change = trendDatas[code]['sort20_change'] if code in trendDatas else Decimal('-1')
+                sort30 = trendDatas[code]['sort30'] if code in trendDatas else Decimal('-1')
+                sort30_change = trendDatas[code]['sort30_change'] if code in trendDatas else Decimal('-1')
+                trend_value = trendDatas[code]['trend_value'] if code in trendDatas else Decimal('-1')
+                trend_value_change = trendDatas[code]['trend_value_change'] if code in trendDatas else Decimal('-1')
+                trend5_value = trendDatas[code]['trend5_value'] if code in trendDatas else Decimal('-1')
+                trend5_value_change = trendDatas[code]['trend5_value_change'] if code in trendDatas else Decimal('-1')
+                trend10_value = trendDatas[code]['trend10_value'] if code in trendDatas else Decimal('-1')
+                trend10_value_change = trendDatas[code]['trend10_value_change'] if code in trendDatas else Decimal('-1')
+                trend20_value = trendDatas[code]['trend20_value'] if code in trendDatas else Decimal('-1')
+                trend20_value_change = trendDatas[code]['trend20_value_change'] if code in trendDatas else Decimal('-1')
+                trend30_value = trendDatas[code]['trend30_value'] if code in trendDatas else Decimal('-1')
+                trend30_value_change = trendDatas[code]['trend30_value_change'] if code in trendDatas else Decimal('-1')
+
                 # turnover_change = '' #todo
                 # turnover_ratio_change = '' #todo
                 # turnover_sort_change = ''#todo
@@ -397,7 +513,12 @@ def main():
                                                 'rise5_number':rise5_number,'flat5_number':flat5_number,'losses5_number':losses5_number,'rise5_number_change':rise5_number_change,'flat5_number_change':flat5_number_change,'losses5_number_change':losses5_number_change,
                                                 'rise10_number':rise10_number,'flat10_number':flat10_number,'losses10_number':losses10_number,'rise10_number_change':rise10_number_change,'flat10_number_change':flat10_number_change,'losses10_number_change':losses10_number_change,
                                                 'rise20_number':rise20_number,'flat20_number':flat20_number,'losses20_number':losses20_number,'rise20_number_change':rise20_number_change,'flat20_number_change':flat20_number_change,'losses20_number_change':losses20_number_change,
-                                                'rise30_number':rise30_number,'flat30_number':flat30_number,'losses30_number':losses30_number,'rise30_number_change':rise30_number_change,'flat30_number_change':flat30_number_change,'losses30_number_change':losses30_number_change}
+                                                'rise30_number':rise30_number,'flat30_number':flat30_number,'losses30_number':losses30_number,'rise30_number_change':rise30_number_change,'flat30_number_change':flat30_number_change,'losses30_number_change':losses30_number_change,
+                                                'sort':sort,'sort_change':sort_change,'trend_value':trend_value,'trend_value_change':trend_value_change,
+                                                'sort5':sort5,'sort5_change':sort5_change,'trend5_value':trend5_value,'trend5_value_change':trend5_value_change,
+                                                'sort10':sort10,'sort10_change':sort10_change,'trend10_value':trend10_value,'trend10_value_change':trend10_value_change,
+                                                'sort20':sort20,'sort20_change':sort20_change,'trend20_value':trend20_value,'trend20_value_change':trend20_value_change,
+                                                'sort30':sort30,'sort30_change':sort30_change,'trend30_value':trend30_value,'trend30_value_change':trend30_value_change}
             
                 # 构建数据并存入数据库
                 sql_insert = f"INSERT INTO dong_cai_secondary_industry_statistics (business_date,security_code,security_name,turnover,turnover_change,turnover_ratio,turnover_ratio_change,turnover_sort,turnover_sort_change, turnover5,turnover5_change,turnover5_ratio,turnover5_ratio_change,turnover5_sort,turnover5_sort_change,turnover10,turnover10_change,turnover10_ratio,turnover10_ratio_change,turnover10_sort,turnover10_sort_change,turnover20,turnover20_change,turnover20_ratio,turnover20_ratio_change,turnover20_sort,turnover20_sort_change, turnover30,turnover30_change,turnover30_ratio,turnover30_ratio_change,turnover30_sort,turnover30_sort_change,rise_number,rise_number_change,losses_number,losses_number_change,flat_number,flat_number_change, rise5_number,rise5_number_change,losses5_number,losses5_number_change,flat5_number,flat5_number_change, rise10_number,rise10_number_change,losses10_number,losses10_number_change,flat10_number,flat10_number_change,  rise20_number,rise20_number_change,losses20_number,losses20_number_change,flat20_number,flat20_number_change,  rise30_number,rise30_number_change,losses30_number,losses30_number_change,flat30_number,flat30_number_change) VALUES ( %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,%s, %s, %s, %s ,%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s,%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"

transferNewrecordData_python.py

@@ -1,42 +1,42 @@
 #导入新高新低数据
 import pymysql
 
-#数据库A的连接信息；NAS数据库
+# #数据库A的连接信息；NAS数据库
-db_a_config = {
-    'host': '192.168.0.222',
-    'user': 'root',
-    'password': '1qazse42W3',
-    'db': 'ry',
-    'charset': 'utf8mb4',
-}
-
-# 数据库B的连接信息；NAS数据库
-db_b_config = {
-    'host': '192.168.0.222',
-    'user': 'root',
-    'password': '1qazse42W3',
-    'db': 'mojin',
-    'charset': 'utf8mb4',
-}
-
-# # 数据库A的连接信息；腾讯云数据库
 # db_a_config = {
-#     'host': '124.223.98.178',
+#     'host': '192.168.0.222',
 #     'user': 'root',
 #     'password': '1qazse42W3',
 #     'db': 'ry',
 #     'charset': 'utf8mb4',
 # }
 
-# # 数据库B的连接信息；腾讯云数据库
+# # 数据库B的连接信息；NAS数据库
 # db_b_config = {
-#     'host': '124.223.98.178',
+#     'host': '192.168.0.222',
 #     'user': 'root',
 #     'password': '1qazse42W3',
 #     'db': 'mojin',
 #     'charset': 'utf8mb4',
 # }
 
+# 数据库A的连接信息；腾讯云数据库
+db_a_config = {
+    'host': '124.223.98.178',
+    'user': 'root',
+    'password': '1qazse42W3',
+    'db': 'ry',
+    'charset': 'utf8mb4',
+}
+
+# 数据库B的连接信息；腾讯云数据库
+db_b_config = {
+    'host': '124.223.98.178',
+    'user': 'root',
+    'password': '1qazse42W3',
+    'db': 'mojin',
+    'charset': 'utf8mb4',
+}
+
 try:
     # 连接数据库A
     db_a_conn = pymysql.connect(**db_a_config)
@@ -48,8 +48,8 @@ try:
 
     stock_basic_map = {}
 
-    #查询交易日数据
+    #查询交易日数据 更新数据到 8月8日
-    sql_trade_qurey = 'select date,week,trade from trade_dates where trade = %s and date > "2023-07-20"'
+    sql_trade_qurey = 'select date,week,trade from trade_dates where trade = %s and date > "2023-07-28"'
     sql_trade = "trading"
     db_a_cursor.execute(sql_trade_qurey,sql_trade)
     trading_dates = db_a_cursor.fetchall()
@@ -77,7 +77,10 @@ try:
     
     for row in trading_dates:
         trading_date,week,trade = row
-        print('start transfer ',trading_date , ' data.')
+        print('start transfer newrecord data ',trading_date , ' data.')
+        if trading_date == '2023-08-09':
+            print('break then finished transfer newrecord ',trading_date , ' data.')
+            break
         sql_stock_query = 'select code,trade_day, open,close,high,low,islimit,isdrop,differrange,trade_days,volumn,amount,differrange10,differrange20,differrange60,avg_volume20,freefloat_market_value,total_market_value,agencies_hold from stocks where trade_day = %s'
         db_a_cursor.execute(sql_stock_query,trading_date)
         datas = db_a_cursor.fetchall()