def getmaxreportdate(dbCntInfo, destTable) -> dict :
'''
获取每个产品最大的reportdate
:param dbCntInfo:
:return:
'''
# 获取产品基础信息
productBasicInfodf = pb.getAllProductBasicInfo(dbCntInfo)
if productBasicInfodf.empty:
print("表中无正在上市的数据，提前正常结束!")
return
maxreportdatedict = {}
for rowIndex in productBasicInfodf.index:
oneProductTuple = productBasicInfodf.iloc[rowIndex]
productCode = oneProductTuple["product_code"] ## 产品代码
maxReportDateSql = sc.COMPANYMAXREPORTDATE_SQL%(destTable, productCode)
destDbBase = dbCntInfo.getDBCntInfoByTableName(tablename=destTable,productcode=productCode)
destRetList = destDbBase.execSelectSmallSql(maxReportDateSql)
maxReportDate = destRetList[0]['maxreportdate']
print(rowIndex)
print(productCode+maxReportDateSql)
maxreportdatedict[productCode] = maxReportDate
if len(maxreportdatedict) == 0:
raise Exception("getmaxreportdate return value is empty!")
return maxreportdatedict
def getProductBasicInfo(dbCntInfo):
'''
productbasicinfo表信息更新
:param dbCntInfo:
:return:
'''
sourceTable = "stock_basics"
getStockBasics(dbCntInfo)
destTable = "productbasicinfo"
souceDbBase = dbCntInfo.getDBCntInfoByTableName(sourceTable)
destDbBase = dbCntInfo.getDBCntInfoByTableName(destTable)
proctBaseInfoDf = pb.getAllProductBasicInfo(dbCntInfo, ipostatus="A")
proctBaseInfoDf.set_index("product_code")
while (True):
sourceRetList = souceDbBase.execSelectManySql(sc.PRODUCTBASICINFO_SQL)
if len(sourceRetList) == 0:
break
# 数据插入到另外一个库里面
newsourceListTuple = []
for oneList in sourceRetList:
productcode = oneList["product_code"]
if productcode not in proctBaseInfoDf.index:
print(oneList)
oneList['market_type'] = dc.DICTCONS_CODETOMARKETTYPE[oneList['market_type']]
newsourceListTuple.append(tuple(oneList.values()))
destDbBase.execInsertManySql(sc.PRODUCTBASICINFO_INSERTSQL, newsourceListTuple)
souceDbBase.closeDBConnect()
destDbBase.closeDBConnect()
def getalltradeproductdate(dbCntInfo) -> pd.DataFrame:
'''
获取需要获取交易数据的产品的数据
:param dbCntInfo:
:return:
'''
# 获取产品基础信息
productBasicInfodf = pb.getAllProductBasicInfo(dbCntInfo)
if productBasicInfodf.empty:
print("表中无正在上市的数据，提前正常结束!")
return
# 获取当日日期
finanalWorkDate = pb.getTodayDate()
curHour = time.localtime().tm_hour
if curHour < 17:
finanalWorkDate = pb.getYesterday()
destTable = "producttradedata"
productcodelist = []
startdatelist = []
enddatelist = []
for rowIndex in productBasicInfodf.index:
oneProductTuple = productBasicInfodf.iloc[rowIndex]
productCode = oneProductTuple["product_code"] ## 产品代码
listedDate = oneProductTuple["listed_date"] ## 上市日期
# 获取产品的起始日期,产品可能已经存在部分行情
maxTradeDateSql = sc.PRODUCTMAXTRADEDATE_SQL % productCode
destDbBase = dbCntInfo.getDBCntInfoByTableName(tablename=destTable,
productcode=productCode)
destRetList = destDbBase.execSelectSmallSql(maxTradeDateSql)
maxTradeDate = destRetList[0]['maxtradedate']
print(rowIndex)
print(productCode + maxTradeDateSql)
startDate = listedDate
if maxTradeDate > listedDate:
startDate = pb.getnextnday(maxTradeDate, 1)
endDate = ((int(startDate / 10000)) + 10) * 10000 + 1231
if int(listedDate / 10000) == int(finanalWorkDate / 10000):
endDate = finanalWorkDate
if endDate > finanalWorkDate:
endDate = finanalWorkDate
if startDate > finanalWorkDate:
continue
print("startdate(%d),enddate(%d)" % (startDate, endDate))
productcodelist.append(productCode)
startdatelist.append(startDate)
enddatelist.append(endDate)
if len(productcodelist) > 0:
dfdict = {
"productcode": productcodelist,
"startdate": startdatelist,
"enddate": enddatelist
}
df = pd.DataFrame(dfdict)
df = df.set_index("productcode")
return df
return
def getProductBasicInfo():
'''
productbasicinfo表信息更新
:param dbCntInfo:
:return:
'''
dbCntInfo = dbcnt.getInitDbCntInfo()
sourceTable = "stock_basics"
getStockBasics(dbCntInfo)
destTable = "productbasicinfo"
souceDbBase = dbCntInfo.getDBCntInfoByTableName(sourceTable)
destDbBase = dbCntInfo.getDBCntInfoByTableName(destTable)
proctBaseInfoDf = pb.getAllProductBasicInfo(dbCntInfo,
ipostatus="N",
producttype='1')
productcodelist = proctBaseInfoDf["product_code"].tolist()
while (True):
sourceRetList = souceDbBase.execSelectManySql(sc.PRODUCTBASICINFO_SQL,
" order by code")
if len(sourceRetList) == 0:
break
curworkday = pb.getlastworkday()
# 数据插入到另外一个库里面
newsourceListTuple = []
for oneList in sourceRetList:
productcode = oneList["product_code"]
if productcode not in productcodelist:
print(oneList)
oneList['market_type'] = dc.DICTCONS_CODETOMARKETTYPE[
oneList['market_type']]
oneList['symbol_code'] = pb.code_to_symbol(productcode)
newsourceListTuple.append(tuple(oneList.values()))
if len(newsourceListTuple) != 0:
destDbBase.execInsertManySql(sc.PRODUCTBASICINFO_INSERTSQL,
newsourceListTuple)
proctBaseInfoDf = getDelistStockBasics(dbCntInfo)
proctBaseInfoDf = proctBaseInfoDf.set_index("symbol")
delistListTuple = []
for productcode, itemvalue in proctBaseInfoDf.iterrows():
if productcode in productcodelist:
# print("%s has delisted!" % productcode)
# print(itemvalue)
delistListTuple.append(
(itemvalue["delist_date"], pb.code_to_symbol(productcode)))
if len(delistListTuple) != 0:
# print(delistListTuple)
destDbBase.execupdatemanysql(sc.PRODUCTBASICINFO_UPDATEDELISTSQL,
delistListTuple)
def getProductFinanceInfo(dbCntInfo,sourcetable,desctable):
'''
获取产品的公司财务基础数据
:param dbCntInfo:
:param sourcetable: tusharepro数据填写到该表 histincome histcastflow histbalance
:param desctable: 移植到该正式表 company_income company_cashflow company_balance_sheet
:return:
'''
productInfoDf = pb.getAllProductBasicInfo(dbCntInfo)
if productInfoDf.empty:
print("表中无正在上市的数据，提前正常结束!")
return
pro = ts.pro_api('00f0c017db5d284d992f78f0971c73c9ecba4aa03dee2f38e71e4d9c')
sourceTable = sourcetable # 比如"histincome"
destTable = desctable # 比如"company_income"
# 获取每个产品已经获取到的最大reportdate
productReportDateDict = getmaxreportdate(dbCntInfo, destTable)
engine = dbCntInfo.getEngineByTableName(sourceTable)
# 获取tusharepro中的数据
for rowIndex in productInfoDf.index:
# if rowIndex >= 0:
# continue
if rowIndex % 200 == 0 and rowIndex != 0:
time.sleep(60)
oneProductInfo = productInfoDf.iloc[rowIndex]
productCode = oneProductInfo["product_code"]
maxreportdate = productReportDateDict[productCode]
maxreportdate = maxreportdate + 1
print("%d %s begin to get %s data from intenert..."%(rowIndex, productCode,destTable))
symbolProcuctCode = pb.code_to_symbol(productCode)
df = pd.DataFrame()
try :
if destTable in "company_income":
if maxreportdate == 1:
df = pro.income(ts_code=symbolProcuctCode)
else :
df = pro.income(ts_code=symbolProcuctCode, start_date=str(maxreportdate))
elif destTable in "company_balance_sheet":
if maxreportdate == 1:
df = pro.balancesheet(ts_code=symbolProcuctCode)
else :
df = pro.balancesheet(ts_code=symbolProcuctCode, start_date=str(maxreportdate))
elif destTable in "company_cashflow":
if maxreportdate == 1:
df = pro.cashflow(ts_code=symbolProcuctCode)
else :
df = pro.cashflow(ts_code=symbolProcuctCode, start_date=str(maxreportdate))
else :
raise Exception("destTable is exception!")
except Exception as e:
print(symbolProcuctCode + " connect time out!")
time.sleep(120)
if destTable in "company_income":
df = pro.income(ts_code=symbolProcuctCode)
elif destTable in "company_balance_sheet":
df = pro.balancesheet(ts_code=symbolProcuctCode)
elif destTable in "company_cashflow":
df = pro.cashflow(ts_code=symbolProcuctCode)
else:
raise Exception("destTable is exception!")
# 数据去重
# 数据相同删除重复的数据保留第一个数据
dfdup = df.drop_duplicates(subset=["ts_code","end_date"], keep='first', inplace=False)
realSourTable = sourceTable + productCode
basicdf = dfdup.reset_index(drop=True)
basicdf.to_sql(realSourTable, engine, if_exists="replace", index=False)
print("%s get data finish!" % (productCode))
time.sleep(1.5)
# 获取表中存在的数据。
for rowIndex in productInfoDf.index:
oneProductInfo = productInfoDf.iloc[rowIndex]
productCode = oneProductInfo["product_code"]
maxreportdate = productReportDateDict[productCode]
realSourTable = sourceTable + productCode
print("%d %s begin to insert table %s data..." % (rowIndex, realSourTable, destTable))
selectsql = sc.COMPANYFINANCE_SELECTSQL[destTable]%(realSourTable,maxreportdate)
print(selectsql)
insertsql = sc.COMPANYFINANCE_INSERTSQL[destTable]
pb.insertNormalDbByCurProductCode(dbCntInfo, sourceTable, destTable, selectsql, insertsql,productCode)
print("%s insert table %s finish!" % (realSourTable, destTable))
return
def getProfitData(dbCntInfo):
'''
在执行前需要首先用下列语句创建表
USE stocknotdealmarket;
DROP TABLE IF EXISTS histprofitdata;
CREATE TABLE histprofitdata (
ts_code text DEFAULT NULL,
end_date text DEFAULT NULL,
ann_date text DEFAULT NULL,
div_proc text DEFAULT NULL,
stk_div double DEFAULT NULL,
stk_bo_rate double DEFAULT NULL,
stk_co_rate double DEFAULT NULL,
cash_div double DEFAULT NULL,
cash_div_tax double DEFAULT NULL,
record_date text DEFAULT NULL,
ex_date text DEFAULT NULL,
pay_date text DEFAULT NULL,
div_listdate text DEFAULT NULL,
imp_ann_date text DEFAULT NULL
)
数据来源：http://f10.eastmoney.com/BonusFinancing/Index?type=web&code=sh601199
中财网:http://data.cfi.cn/cfidata.aspx?sortfd=&sortway=&curpage=1&ndk=A0A1934A1939A1957A1966A1983&xztj=&mystock=
分红产品分红数据获取
'''
# 获取产品基础信息
productBasicInfodf = pb.getAllProductBasicInfo(dbCntInfo)
if productBasicInfodf.empty:
print("表中无正在上市的数据，提前正常结束!")
return
# 获取当日日期
# finanalWorkDate = pb.getTodayDate()
sourceTable = "histprofitdata" # 分红数据
# destTable = "profitschema" # 产品分红方案
# 建立连接与tusharepro
pro = ts.pro_api('00f0c017db5d284d992f78f0971c73c9ecba4aa03dee2f38e71e4d9c')
engine = dbCntInfo.getEngineByTableName(sourceTable)
for rowIndex in productBasicInfodf.index:
oneProductTuple = productBasicInfodf.iloc[rowIndex]
productCode = oneProductTuple["product_code"] ## 产品代码
print("%d %s begin to get prifit data ..." % (rowIndex,productCode))
symbolProcuctCode = pb.code_to_symbol(productCode)
try:
df = pro.dividend(ts_code=symbolProcuctCode)
basicdf = df.reset_index(drop=True)
basicdf.to_sql(sourceTable, engine, if_exists="append", index=False)
except Exception as e:
print(productCode + " connect time out!")
time.sleep(30)
df = pro.dividend(ts_code=symbolProcuctCode)
basicdf = df.reset_index(drop=True)
basicdf.to_sql(sourceTable, engine, if_exists="append", index=False)
print(productCode + " begin to get data finish ...")
time.sleep(1)
if rowIndex % 100 == 0:
time.sleep(10)
if rowIndex % 500 == 0:
time.sleep(30)
print("all productcode profitschema finish download!")
dbCntInfo.closeAllDBConnect()