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#导入或计算东财二级的成交额及排序等数据
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###当前交易日的计算方法
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###1、获取当日的成交信息，并计算排序
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###2、获取当日所有指数汇总信息，计算当日的占比、占比排名
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###3、获取前一日（多日）的成交信息
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###4、获取前一日（多日）的汇总信息等
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###5、计算对比
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###
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###
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###
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###
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###
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###批量时计算方法
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###1、获取区间第一日的数据
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###2、获取前一日数据并计算（如无前一日，则默认一日)
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###
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###
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###
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###
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from decimal import Decimal
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import pymysql
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def getTradingDates(dbconfig,dbcursor,state,date):
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# 1日 5日 10日 20日 30日周期日期
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period_trading_dateMap = {} # 用于计算成交额
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period_trading_dateMap2 = {} # 用于计算区间涨跌数量等，区间涨跌等需要查询个股
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# 获取周期
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sql_trade_period_qurey = 'select date,week,trade from trade_dates where trade = %s and date < %s order by date desc limit 30'
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sql_trade_period = state
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dbcursor.execute(sql_trade_period_qurey,(sql_trade_period,date))
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trading_period_dates = dbcursor.fetchall()
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#前一个交易日
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prevTradeDate = ''
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periodIndex = 0
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period_trading_dateMap
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for ttrading_date in trading_period_dates:
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if periodIndex == 0:
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period_trading_dateMap['1']=ttrading_date[0]
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elif periodIndex == 1:
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prevTradeDate = ttrading_date[0]
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elif periodIndex == 4:
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period_trading_dateMap['5']=ttrading_date[0]
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elif periodIndex == 5:
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period_trading_dateMap2['5'] = ttrading_date[0]
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elif periodIndex == 9:
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period_trading_dateMap['10'] = ttrading_date[0]
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elif periodIndex == 10:
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period_trading_dateMap2['10'] = ttrading_date[0]
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elif periodIndex == 19:
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period_trading_dateMap['20'] = ttrading_date[0]
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elif periodIndex == 20:
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period_trading_dateMap2['20'] = ttrading_date[0]
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elif periodIndex == 29:
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period_trading_dateMap['30'] =ttrading_date[0]
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elif periodIndex == 30:
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period_trading_dateMap2['30'] = ttrading_date[0]
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elif periodIndex > 30:
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break
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periodIndex += 1
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return period_trading_dateMap
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def getPeriodTurnOver(dbconfig,dbcursor,startDate,endDate):
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periodTurnOverMap = {}
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total = Decimal('0.00')
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sql_trade_period_qurey = 'select code ,sum(amount) as turnover from stock_index where trade_day >= %s and trade_day < %s'
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dbcursor.execute(sql_trade_period_qurey,(startDate,endDate))
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totalTurnOvers = dbcursor.fetchall()
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for row in totalTurnOvers:
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code,turnover = row
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total = turnover
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sortIndex = 1
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sql_trade_period_qurey = 'select code,sum(amount) as turnover from stock_index where trade_day >= %s and trade_day < %s group by code order by amount DESC '
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dbcursor.execute(sql_trade_period_qurey,(startDate,endDate))
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totalTurnOvers = dbcursor.fetchall()
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for row in totalTurnOvers:
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code,turnover = row
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periodTurnOverMap[code] = {'code':code,'turnover':turnover,'total':total,'turnover_sort':sortIndex}
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sortIndex += 1
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return periodTurnOverMap
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def getPeriodDiff(dbconfig,dbcursor,startDate,endDate,hasData):
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periodStartDataMap = {}
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periodEndDataMap = {}
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periodDiffMap = {}
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industryMap = {}
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sql_trade_period_qurey = 'select code,name from stock_index where trade_day = %s'
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dbcursor.execute(sql_trade_period_qurey,'2023-05-05')
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datas = dbcursor.fetchall()
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for row in datas:
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code,name = row
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industryMap[name] = code
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sql_trade_period_qurey = 'select s.code as code,s.close as close,s.open as open,sb.blemind2 as blemind2 from stocks s left join stock_basis sb on s.code = sb.code where s.trade_day = %s'
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dbcursor.execute(sql_trade_period_qurey,startDate)
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datas = dbcursor.fetchall()
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datasLen = 0
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for row in datas:
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code,close,open,blemind2 = row
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if close is None:
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close = Decimal('0')
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periodStartDataMap[code] = {'code':code,'close':close,'open':open,'blemind2':blemind2}
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datasLen +=1
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if datasLen <= 0:
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return
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hasData = True
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sql_trade_period_qurey = 'select s.code as code,s.close as close,s.open as open,sb.blemind2 as blemind2 from stocks s left join stock_basis sb on s.code = sb.code where s.trade_day = %s'
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dbcursor.execute(sql_trade_period_qurey,endDate)
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datas = dbcursor.fetchall()
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for row in datas:
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code,close,open,blemind2 = row
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if close is None:
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close = Decimal('0')
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periodEndDataMap[code] = {'code':code,'close':close,'open':open,'blemind2':blemind2}
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if code in periodStartDataMap:
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if industryMap[blemind2] in periodDiffMap:
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# print('close: ',close, ' bclose: ',periodStartDataMap[code]['close'] )
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if Decimal(close) - periodStartDataMap[code]['close'] > 0 :
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periodDiffMap[industryMap[blemind2]]['rise'] += 1
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elif Decimal(close) - periodStartDataMap[code]['close'] == 0 :
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periodDiffMap[industryMap[blemind2]]['flat'] += 1
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else:
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periodDiffMap[industryMap[blemind2]]['fall'] += 1
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else:
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if Decimal(close) - periodStartDataMap[code]['close'] > 0 :
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periodDiffMap[industryMap[blemind2]] = {'rise':1,'flat':0,'fall':0}
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elif close - periodStartDataMap[code]['close'] == 0 :
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periodDiffMap[industryMap[blemind2]] = {'rise':0,'flat':1,'fall':0}
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else:
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periodDiffMap[industryMap[blemind2]] = {'rise':0,'flat':0,'fall':1}
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else:
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# print('close: ',close)
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if Decimal(close) > 0 :
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periodDiffMap[industryMap[blemind2]] = {'rise':1,'flat':0,'fall':0}
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elif Decimal(close) == 0 :
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periodDiffMap[industryMap[blemind2]] = {'rise':0,'flat':1,'fall':0}
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else:
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periodDiffMap[industryMap[blemind2]] = {'rise':0,'flat':0,'fall':1}
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return periodDiffMap
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def getPreData(dbconfig,dbcursor,date):
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preDataMap = {}
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sql_trade_period_qurey = 'select business_date,security_code,turnover,turnover5,turnover10,turnover20,turnover30,turnover_sort,turnover5_sort,turnover10_sort,turnover20_sort,turnover30_sort,turnover_ratio,turnover5_ratio,turnover10_ratio,turnover20_ratio,turnover30_ratio,rise_number,rise5_number,rise10_number,rise20_number,rise30_number,losses_number,losses5_number,losses10_number,losses20_number,losses30_number,flat_number,flat5_number,flat10_number,flat20_number,flat30_number from dong_cai_secondary_industry_statistics where business_date = %s'
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dbcursor.execute(sql_trade_period_qurey,date)
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datas = dbcursor.fetchall()
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for row in datas:
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business_date,security_code,turnover,turnover5,turnover10,turnover20,turnover30,turnover_sort,turnover5_sort,turnover10_sort,turnover20_sort,turnover30_sort,turnover_ratio,turnover5_ratio,turnover10_ratio,turnover20_ratio,turnover30_ratio,rise_number,rise5_number,rise10_number,rise20_number,rise30_number,losses_number,losses5_number,losses10_number,losses20_number,losses30_number,flat_number,flat5_number,flat10_number,flat20_number,flat30_number = row
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preDataMap[security_code] = {'business_date':business_date,'security_code':security_code,
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'turnover':turnover,'turnover5':turnover5,'turnover10':turnover10,'turnover20':turnover20,'turnover30':turnover30,
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'turnover_sort':turnover_sort,'turnover5_sort':turnover5_sort,'turnover10_sort':turnover10_sort,'turnover20_sort':turnover20_sort,'turnover30_sort':turnover30_sort,
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'turnover_ratio':turnover_ratio,'turnover5_ratio':turnover5_ratio,'turnover10_ratio':turnover10_ratio,'turnover20_ratio':turnover20_ratio,'turnover30_ratio':turnover30_ratio,
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'rise_number':rise_number,'rise5_number':rise5_number,'rise10_number':rise10_number,'rise20_number':rise20_number,'rise30_number':rise30_number,
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'losses_number':losses_number,'losses5_number':losses5_number,'losses10_number':losses10_number,'losses20_number':losses20_number,'losses30_number':losses30_number,
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'flat_number':flat_number,'flat5_number':flat5_number,'flat10_number':flat10_number,'flat20_number':flat20_number,'flat30_number':flat30_number}
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return preDataMap
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def main():
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# #数据库A的连接信息；NAS数据库
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# db_a_config = {
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# 'host': '192.168.0.222',
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# 'user': 'root',
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# 'password': '1qazse42W3',
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# 'db': 'ry',
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# 'charset': 'utf8mb4',
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# }
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# # 数据库B的连接信息；NAS数据库
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# db_b_config = {
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# 'host': '192.168.0.222',
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# 'user': 'root',
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# 'password': '1qazse42W3',
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# 'db': 'mojin',
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# 'charset': 'utf8mb4',
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# }
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# 数据库A的连接信息；腾讯云数据库
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db_a_config = {
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'host': '124.223.98.178',
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'user': 'root',
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'password': '1qazse42W3',
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'db': 'ry',
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'charset': 'utf8mb4',
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}
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# 数据库B的连接信息；腾讯云数据库
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db_b_config = {
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'host': '124.223.98.178',
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'user': 'root',
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'password': '1qazse42W3',
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'db': 'mojin',
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'charset': 'utf8mb4',
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}
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try:
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# 连接数据库A
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db_a_conn = pymysql.connect(**db_a_config)
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db_a_cursor = db_a_conn.cursor()
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# 连接数据库B
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db_b_conn = pymysql.connect(**db_b_config)
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db_b_cursor = db_b_conn.cursor()
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stock_basic_map = {}
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#转换数据的日期（单日)
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trans_date = '2022-03-10'
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#查询交易日数据
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sql_trade_qurey = 'select date,week,trade from trade_dates where trade = %s and date > %s'
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sql_trade = "trading"
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db_a_cursor.execute(sql_trade_qurey,(sql_trade,trans_date))
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trading_dates = db_a_cursor.fetchall()
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# 查询交易日期 - 交易日的指数数据 - 计算周期数据 - 转存
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queryType = ['1','5','10','20','30'] #查询类型
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testRet = 0
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for row in trading_dates:
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# 1日 5日 10日 20日 30日周期日期
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period_trading_dateMap = {} # 用于计算成交额
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# period_trading_dateMap = getTradingDates(db_a_conn,db_a_cursor,sql_trade,trans_date)
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period_trading_dateMap2 = {} # 用于计算区间涨跌数量等，区间涨跌等需要查询个股;区间涨跌是以前一日的收盘价与当前收盘价计算的
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trading_date,week,trade = row
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# 获取周期,不包含当前交易日
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sql_trade_period_qurey = 'select date,week,trade from trade_dates where trade = %s and date < %s order by date desc limit 30'
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sql_trade_period = "trading"
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db_a_cursor.execute(sql_trade_period_qurey,(sql_trade_period,trading_date))
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trading_period_dates = db_a_cursor.fetchall()
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#前一个交易日
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prevTradeDate = ''
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periodIndex = 0
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for ttrading_date in trading_period_dates:
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if periodIndex == 0:
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period_trading_dateMap['1']=ttrading_date[0]
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elif periodIndex == 1:
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prevTradeDate = ttrading_date[0]
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elif periodIndex == 4:
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period_trading_dateMap['5']=ttrading_date[0]
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elif periodIndex == 5:
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period_trading_dateMap2['5'] = ttrading_date[0]
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elif periodIndex == 9:
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period_trading_dateMap['10'] = ttrading_date[0]
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elif periodIndex == 10:
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period_trading_dateMap2['10'] = ttrading_date[0]
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elif periodIndex == 19:
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period_trading_dateMap['20'] = ttrading_date[0]
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elif periodIndex == 20:
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period_trading_dateMap2['20'] = ttrading_date[0]
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elif periodIndex == 29:
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period_trading_dateMap['30'] =ttrading_date[0]
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elif periodIndex == 30:
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period_trading_dateMap2['30'] = ttrading_date[0]
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elif periodIndex > 30:
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break
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periodIndex += 1
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print('start transfer statistics ',trading_date , ' data.')
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# 获取前一日数据
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prevIndustryDataMap = getPreData(db_b_conn,db_b_cursor,period_trading_dateMap['1'])
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hasPrevIndustryData = len(prevIndustryDataMap)
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# 获取多日成交额汇总数据
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turnOver5 = getPeriodTurnOver(db_a_conn,db_a_cursor,period_trading_dateMap['5'],trading_date)
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hasTurnOver5 = False if turnOver5 is None else len(turnOver5) > 0
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# for data in turnOver5:
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# industries_tradeDaymap[data]['turnover5'] = turnOver5[data]['turnover']
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turnOver10 = getPeriodTurnOver(db_a_conn,db_a_cursor,period_trading_dateMap['10'],trading_date)
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hasTurnOver10 = False if turnOver10 is None else len(turnOver10) > 0
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# for data in turnOver10:
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# industries_tradeDaymap[data]['turnover10'] = turnOver5[data]['turnover']
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turnOver20 = getPeriodTurnOver(db_a_conn,db_a_cursor,period_trading_dateMap['20'],trading_date)
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hasTurnOver20 = False if turnOver20 is None else len(turnOver20) > 0
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# for data in turnOver20:
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# industries_tradeDaymap[data]['turnover20'] = turnOver5[data]['turnover']
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turnOver30 = getPeriodTurnOver(db_a_conn,db_a_cursor,period_trading_dateMap['30'],trading_date)
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hasTurnOver30 = False if turnOver30 is None else len(turnOver30) > 0
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# for data in turnOver30:
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# industries_tradeDaymap[data]['turnover30'] = turnOver5[data]['turnover']
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# 获取涨跌幅数据并统计涨跌幅
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hasPeriodUpDownMap5 = False
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periodUpDownMap5 = getPeriodDiff(db_a_conn,db_a_cursor,period_trading_dateMap['5'],trading_date,hasPeriodUpDownMap5)
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hasPeriodUpDownMap5 = False if periodUpDownMap5 is None else len(periodUpDownMap5) > 0
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hasPeriodUpDownMap10 = False
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periodUpDownMap10 = getPeriodDiff(db_a_conn,db_a_cursor,period_trading_dateMap['10'],trading_date,hasPeriodUpDownMap10)
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hasPeriodUpDownMap10 = False if periodUpDownMap10 is None else len(periodUpDownMap10) > 0
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hasPeriodUpDownMap20 = False
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periodUpDownMap20 = getPeriodDiff(db_a_conn,db_a_cursor,period_trading_dateMap['20'],trading_date,hasPeriodUpDownMap20)
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hasPeriodUpDownMap20 = False if periodUpDownMap20 is None else len(periodUpDownMap20) > 0
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hasPeriodUpDownMap30 = False
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periodUpDownMap30 = getPeriodDiff(db_a_conn,db_a_cursor,period_trading_dateMap['30'],trading_date,hasPeriodUpDownMap30)
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hasPeriodUpDownMap30 = False if periodUpDownMap30 is None else len(periodUpDownMap30) > 0
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totalTunrover = Decimal('0.00')
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#查询日交易的所有成交额，用于计算占比等
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sql_stock_query = 'select code,sum(amount) as turnover from stock_index where trade_day = %s '
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db_a_cursor.execute(sql_stock_query,trading_date)
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datas = db_a_cursor.fetchall()
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for total in datas:
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code , totalTunrover = total
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#查询日交易数据 以成交额进行排序
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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 order by amount DESC'
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db_a_cursor.execute(sql_stock_query,trading_date)
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datas = db_a_cursor.fetchall()
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sortIndex = 1
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industries_tradeDaymap = {}
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#遍历交易日数据,多日数据需要单独计算; 历史数据，全部从dong_cai_secondary_industry_statistics中获取，没有的则以当前的为准
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for stock_index_data in datas:
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code,name,trade_day, open,close,high,low,differrange,volumn,amount,limitupnum,limitdownnum,suspendnum,risenum,fallnum,flatnum,componentnum,mv,pettm,pettm_mid,liqmv,rcnthigh,rcntlow = stock_index_data
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business_date = trade_day
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security_code = code
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security_name = name
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turnover = amount
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turnover_sort = sortIndex
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turnover_change = Decimal(prevIndustryDataMap[code]['turnover']) - turnover if hasPrevIndustryData else turnover #todo 从交易数据中获取然后计算 ，一日、多日
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sortIndex +=1
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# print(type(turnover),type(totalTunrover),type(turnover*Decimal('100.00')))
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ratio = (turnover*Decimal('100.00') )/ totalTunrover
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turnover_ratio = ratio
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turnover_ratio_change = turnover_ratio - Decimal(prevIndustryDataMap[code]['turnover_ratio']) if hasPrevIndustryData else turnover_ratio #todo
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turnover_sort_change = turnover_sort - Decimal(prevIndustryDataMap[code]['turnover_sort']) if hasPrevIndustryData else turnover_sort #todo
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# industries_tradeDaymap[code] = {business_date,security_code,turnover_sort,rise_number,flat_number}
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# 总成交额
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# totalTunrover += turnover
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# turnover_change = '' #todo
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# turnover_ratio_change = '' #todo
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# turnover_sort_change = ''#todo
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turnover5 = Decimal(turnOver5[code]['turnover']) if hasTurnOver5 else turnover #todo
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turnover5_change = turnover5 - Decimal(prevIndustryDataMap[code]['turnover5']) if hasPrevIndustryData else turnover5 #todo
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turnover5_ratio = (turnover5*Decimal('100.00') )/ Decimal(turnOver5[code]['total']) if hasTurnOver5 else ratio #todo
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turnover5_ratio_change = turnover5_ratio - Decimal(prevIndustryDataMap[code]['turnover5_ratio']) if hasPrevIndustryData else turnover5_ratio #todo
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turnover5_sort = Decimal(turnOver5[code]['turnover_sort']) if hasTurnOver5 else turnover_sort #todo
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print('code:',code ,' turnover5_sort:',prevIndustryDataMap[code]['turnover5_sort'])
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turnover5_sort_change = Decimal(prevIndustryDataMap[code]['turnover5_sort']) - turnover5_sort if hasPrevIndustryData else turnover5_sort #todo
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turnover10 = Decimal(turnOver10[code]['turnover']) if hasTurnOver10 else turnover #todo
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turnover10_change = turnover10 - Decimal(prevIndustryDataMap[code]['turnover10']) if hasPrevIndustryData else turnover10 #todo
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turnover10_ratio = (turnover10*Decimal('100.00') )/ Decimal(turnOver10[code]['total']) if hasTurnOver10 else ratio #todo
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turnover10_ratio_change = turnover10_ratio - Decimal(prevIndustryDataMap[code]['turnover10_ratio']) if hasPrevIndustryData else turnover10_ratio #todo
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turnover10_sort = Decimal(turnOver10[code]['turnover_sort']) if hasTurnOver10 else turnover_sort #todo
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turnover10_sort_change = Decimal(prevIndustryDataMap[code]['turnover10_sort']) - turnover10_sort if hasPrevIndustryData else turnover10_sort #todo
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turnover20 = Decimal(turnOver20[code]['turnover']) if hasTurnOver20 else turnover #todo
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turnover20_change = turnover20 - Decimal(prevIndustryDataMap[code]['turnover20']) if hasPrevIndustryData else turnover20 #todo
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turnover20_ratio = (turnover20*Decimal('100.00') )/ Decimal(turnOver20[code]['total']) if hasTurnOver20 else ratio #todo
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turnover20_ratio_change = turnover20_ratio - Decimal(prevIndustryDataMap[code]['turnover20_ratio']) if hasPrevIndustryData else turnover20_ratio #todo
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turnover20_sort = Decimal(turnOver20[code]['turnover_sort']) if hasTurnOver20 else turnover_sort #todo
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turnover20_sort_change = Decimal(prevIndustryDataMap[code]['turnover20_sort']) - turnover20_sort if hasPrevIndustryData else turnover20_sort #todo
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turnover30 = Decimal(turnOver30[code]['turnover']) if hasTurnOver30 else turnover #todo
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turnover30_change = turnover30 - Decimal(prevIndustryDataMap[code]['turnover30']) if hasPrevIndustryData else turnover30 #todo
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turnover30_ratio = (turnover30*Decimal('100.00') )/ Decimal(turnOver30[code]['total']) if hasTurnOver30 else ratio #todo
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turnover30_ratio_change = turnover30_ratio - Decimal(prevIndustryDataMap[code]['turnover30_ratio']) if hasPrevIndustryData else turnover30_ratio #todo
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turnover30_sort = Decimal(turnOver30[code]['turnover_sort']) if hasTurnOver30 else turnover_sort #todo
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turnover30_sort_change = Decimal(prevIndustryDataMap[code]['turnover30_sort']) - turnover30_sort if hasPrevIndustryData else turnover30_sort #todo
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rise_number = risenum
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flat_number = flatnum
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losses_number = fallnum
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rise_number_change = rise_number - Decimal(prevIndustryDataMap[code]['rise_number']) if hasPrevIndustryData else rise_number #todo
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losses_number_change = losses_number - Decimal(prevIndustryDataMap[code]['losses_number']) if hasPrevIndustryData else losses_number #todo
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flat_number_change = flat_number - Decimal(prevIndustryDataMap[code]['flat_number']) if hasPrevIndustryData else flat_number #todo
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rise5_number = Decimal(periodUpDownMap5[code]['rise']) #todo
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rise5_number_change = rise5_number - Decimal(periodUpDownMap5[code]['rise']) if hasPeriodUpDownMap5 else rise5_number #todo
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losses5_number = Decimal(periodUpDownMap5[code]['fall']) #todo
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losses5_number_change = losses5_number - Decimal(periodUpDownMap5[code]['fall']) if hasPeriodUpDownMap5 else losses5_number #todo
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flat5_number = Decimal(periodUpDownMap5[code]['flat']) #todo
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flat5_number_change = flat5_number - Decimal(periodUpDownMap5[code]['flat']) if hasPeriodUpDownMap5 else flat5_number #todo
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rise10_number = Decimal(periodUpDownMap10[code]['rise']) #todo
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rise10_number_change = rise10_number - Decimal(periodUpDownMap10[code]['rise']) if hasPeriodUpDownMap10 else rise10_number #todo
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losses10_number = Decimal(periodUpDownMap10[code]['fall']) #todo
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losses10_number_change = losses10_number - Decimal(periodUpDownMap10[code]['fall']) if hasPeriodUpDownMap10 else losses10_number #todo
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flat10_number = Decimal(periodUpDownMap10[code]['flat']) #todo
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flat10_number_change = flat10_number - Decimal(periodUpDownMap10[code]['flat']) if hasPeriodUpDownMap10 else flat10_number #todo
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rise20_number = Decimal(periodUpDownMap20[code]['rise']) #todo
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rise20_number_change = rise20_number - Decimal(periodUpDownMap20[code]['rise']) if hasPeriodUpDownMap20 else rise20_number#todo
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losses20_number = Decimal(periodUpDownMap20[code]['fall']) #todo
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losses20_number_change = losses20_number - Decimal(periodUpDownMap20[code]['fall']) if hasPeriodUpDownMap20 else losses20_number #todo
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flat20_number = Decimal(periodUpDownMap20[code]['flat']) #todo
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flat20_number_change = flat20_number - Decimal(periodUpDownMap20[code]['flat']) if hasPeriodUpDownMap20 else flat20_number #todo
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rise30_number = Decimal(periodUpDownMap30[code]['rise']) #todo
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rise30_number_change = rise30_number - Decimal(periodUpDownMap30[code]['rise']) if hasPeriodUpDownMap30 else rise30_number #todo
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losses30_number = Decimal(periodUpDownMap30[code]['fall']) #todo
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losses30_number_change = losses30_number - Decimal(periodUpDownMap30[code]['fall']) if hasPeriodUpDownMap30 else losses30_number #todo
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flat30_number = Decimal(periodUpDownMap30[code]['flat']) #todo
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flat30_number_change = flat30_number - Decimal(periodUpDownMap30[code]['flat']) if hasPeriodUpDownMap30 else flat30_number #todo
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# create_time =
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# sql_insert = f"INSERT INTO dong_cai_secondary_industry (business_date,sort,security_code,security_name,security_type,number_ingredients,opening_price,closing_price,volume,turnover,total_capitalization,free_capitalization,change_percentage,highest_price,lowest_price,rise_number,losses_number,flat_number,rise_stop_number,losses_stop_number,stop_number,recently_high,recently_low,pe_ttm,pe_center_ttm) 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)"
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# db_b_cursor.execute(sql_insert, (business_date,sort,security_code,security_name,security_type,number_ingredients,opening_price,closing_price,volume,turnover,total_capitalization,free_capitalization,change_percentage,highest_price,lowest_price,rise_number,losses_number,flat_number,rise_stop_number,losses_stop_number,stop_number,recently_high,recently_low,pe_ttm,pe_center_ttm))
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industries_tradeDaymap[code] = {'business_date':business_date,'security_code':security_code,'security_name':security_name,
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'turnover':turnover,'turnover_change':turnover_change,'turnover_sort':turnover_sort,'turnover_sort_change':turnover_sort_change,
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'turnover_ratio':turnover_ratio,'turnover_ratio_change':turnover_ratio_change,
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'turnover5' : turnover5,'turnover5_change':turnover5_change,'turnover5_ratio':turnover5_ratio,'turnover5_ratio_change':turnover5_ratio_change,'turnover5_sort':turnover5_sort,'turnover5_sort_change':turnover5_sort_change,
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'turnover10' : turnover10,'turnover10_change':turnover10_change,'turnover10_ratio':turnover10_ratio,'turnover10_ratio_change':turnover10_ratio_change,'turnover10_sort':turnover10_sort,'turnover10_sort_change':turnover10_sort_change,
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'turnover20' : turnover20,'turnover20_change':turnover20_change,'turnover20_ratio':turnover20_ratio,'turnover20_ratio_change':turnover20_ratio_change,'turnover20_sort':turnover20_sort,'turnover20_sort_change':turnover20_sort_change,
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'turnover30' : turnover30,'turnover30_change':turnover30_change,'turnover30_ratio':turnover30_ratio,'turnover30_ratio_change':turnover30_ratio_change,'turnover30_sort':turnover30_sort,'turnover30_sort_change':turnover30_sort_change,
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'rise_number':rise_number,'flat_number':flat_number,'losses_number':losses_number,'rise_number_change':rise_number_change,'flat_number_change':flat_number_change,'losses_number_change':losses_number_change,
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'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,
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'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,
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'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,
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'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}
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# 构建数据并存入数据库
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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)"
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db_b_cursor.execute(sql_insert, (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))
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# print(industries_tradeDaymap)
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#提交数据到数据库B中
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|
|
db_b_conn.commit()
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|
|
print('successed transfer ',trading_date , ' data.' )
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|
|
print('\r\n')
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|
|
####dong_cai_secondary_industry_statistics
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# `id` bigint(0) NOT NULL AUTO_INCREMENT,
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# `business_date` date NOT NULL COMMENT '业务日期',
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# `security_code` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '证券代码',
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# `security_name` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '证券名称',
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# `turnover` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额(百万元)',
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# `turnover_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额变化(百万元)',
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# `turnover_ratio` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额占比',
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# `turnover_ratio_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额占比变化',
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# `turnover_sort` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额排名',
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# `turnover_sort_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '成交额排名变化',
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# `turnover5` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日成交额(百万元)',
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# `turnover5_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日成交额变化(百万元)',
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# `turnover5_ratio` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日成交额占比',
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# `turnover5_ratio_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日成交额占比变化',
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# `turnover5_sort` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日成交额排名',
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# `turnover5_sort_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日成交额排名变化',
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# `turnover10` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日成交额(百万元)',
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# `turnover10_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日成交额变化(百万元)',
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# `turnover10_ratio` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日成交额占比',
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# `turnover10_ratio_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日成交额占比变化',
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# `turnover10_sort` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日成交额排名',
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# `turnover10_sort_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日成交额排名变化',
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# `turnover20` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日成交额(百万元)',
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# `turnover20_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日成交额变化(百万元)',
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|
# `turnover20_ratio` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日成交额占比',
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|
# `turnover20_ratio_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日成交额占比变化',
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# `turnover20_sort` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日成交额排名',
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# `turnover20_sort_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日成交额排名变化',
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# `turnover30` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日成交额(百万元)',
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# `turnover30_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日成交额变化(百万元)',
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|
# `turnover30_ratio` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日成交额占比',
|
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|
# `turnover30_ratio_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日成交额占比变化',
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|
# `turnover30_sort` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日成交额排名',
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# `turnover30_sort_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日成交额排名变化',
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# `rise_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '上涨家数',
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|
# `rise_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '上涨家数变化',
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# `losses_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '下跌家数',
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|
# `losses_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '下跌家数变化',
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|
# `flat_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '平盘家数',
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|
# `flat_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '平盘家数变化',
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# `rise5_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日上涨家数',
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# `rise5_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日上涨家数变化',
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|
# `losses5_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日下跌家数',
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# `losses5_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日下跌家数变化',
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# `flat5_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日平盘家数',
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# `flat5_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '5日平盘家数变化',
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# `rise10_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日上涨家数',
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# `rise10_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日上涨家数变化',
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# `losses10_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日下跌家数',
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# `losses10_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日下跌家数变化',
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# `flat10_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日平盘家数',
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# `flat10_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '10日平盘家数变化',
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# `rise20_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日上涨家数',
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# `rise20_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日上涨家数变化',
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# `losses20_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日下跌家数',
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# `losses20_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日下跌家数变化',
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# `flat20_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日平盘家数',
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# `flat20_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '20日平盘家数变化',
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# `rise30_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日上涨家数',
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# `rise30_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日上涨家数变化',
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# `losses30_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日下跌家数',
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# `losses30_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日下跌家数变化',
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# `flat30_number` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日平盘家数',
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# `flat30_number_change` varchar(64) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL DEFAULT NULL COMMENT '30日平盘家数变化',
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# `create_time` datetime(0) NULL DEFAULT NULL COMMENT '创建时间',
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#####
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# print(datas)
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# print(stock_basic_map)
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# print(trading_dates)
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# 查询数据库A中的数据表a1和a2的数据，并进行关联
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#db_a_cursor.execute('SELECT a1.id, a1.date, a1.user, a2.userName, a2.count FROM a1 JOIN a2 ON a1.id = a2.id')
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#data_to_transfer = db_a_cursor.fetchall()
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# 删除数据库B中表c的数据（可选，如果需要覆盖表c的数据）
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# db_b_cursor.execute('DELETE FROM c')
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# 插入数据到数据库B中的表c中
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# for row in data_to_transfer:
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# id, date, user, userName, count = row
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# sql_insert = f"INSERT INTO c (id, date, user, userName, count) VALUES (%s, %s, %s, %s, %s)"
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# db_b_cursor.execute(sql_insert, (id, date, user, userName, count))
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# 提交数据到数据库B中
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# db_b_conn.commit()
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print("数据传输完成！")
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except Exception as e:
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print(f"出现错误：{e}")
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finally:
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# 关闭连接
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if db_a_cursor:
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db_a_cursor.close()
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if db_a_conn:
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db_a_conn.close()
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if db_b_cursor:
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db_b_cursor.close()
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if db_b_conn:
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db_b_conn.close()
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if __name__ == "__main__":
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main()
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