本文整理汇总了Python中BasicData.insertRecoveryFactor方法的典型用法代码示例。如果您正苦于以下问题：Python BasicData.insertRecoveryFactor方法的具体用法？Python BasicData.insertRecoveryFactor怎么用？Python BasicData.insertRecoveryFactor使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类BasicData的用法示例。
在下文中一共展示了BasicData.insertRecoveryFactor方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: init
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import insertRecoveryFactor [as 别名]
def init(stock_code_163, stock_name, indicator):
stock_code = stock_code_sina = stock_code_163[1:]
end_date = date.today()
start_date = datetime.strptime("1990-01-01", "%Y-%m-%d")
bd.insertMasterData(stock_code, stock_name, stock_code_163, stock_code_sina, indicator)
data = bd.getStockData(stock_code_163, start_date, end_date)
bd.insertBasicData(stock_code, data)
logger.info("INSERT BASIC DATA COMPLETED")
bd.insertTechData(stock_code, data)
logger.info("INSERT TECH DATA COMPLETED")
bd.insertAnalysisData(stock_code, data)
logger.info("INSERT ANALYSIS DATA COMPLETED")
bd.updateMasterDate("LAST_UPDATED_DATE", data[0].split(",")[0], stock_code_163)
logger.info("LAST DATE UPDATED")
if indicator == "1":
rf = bd.getRecoveryFactor(stock_code_163, stock_code_sina, start_date)
bd.insertRecoveryFactor(stock_code, rf)
logger.info("INSERT RF DATA COMPLETED")
bd.callTechInitProc(stock_code)
logger.info("CALL PROC TO UPDATE TECH DATA")
logger.info("SLEEP FOR 20 MINUTES")
tm.sleep(20 * 60)
sa.analyze(stock_code, end_date)示例2: smartUpdate
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import insertRecoveryFactor [as 别名]
def smartUpdate(end_date=date.today()):
sql = "SELECT * FROM stockmaster where LAST_UPDATED_DATE < '" + du.convertDateToString(end_date, "%Y-%m-%d") + "'"
result_set = dbu.query(sql)
while len(result_set) > 0:
for each in result_set:
stock_code = each[0]
index_indicator = each[2]
stock_code_163 = each[3]
stock_code_sina = each[4]
start_date = each[5]
logger.info("UPDATING STOCK, STOCK CODE IS " + stock_code)
if start_date is None:
start_date = du.convertStringToDate("1990-01-01", "%Y-%m-%d")
elif start_date == end_date:
continue
else:
start_date = start_date + timedelta(1)
data = bd.getStockData(stock_code_163, start_date, end_date)
if len(data) > 0:
last_updated_date = data[0].split(",")[0]
bd.insertBasicData(stock_code, data)
logger.info("INSERT BASIC DATA COMPLETED")
bd.insertTechData(stock_code, data)
logger.info("INSERT TECH DATA COMPLETED")
bd.insertAnalysisData(stock_code, data)
logger.info("INSERT ANALYSIS DATA COMPLETED")
bd.updateMasterDate("LAST_UPDATED_DATE", last_updated_date, stock_code_163)
logger.info("LAST DATE UPDATED")
if str(index_indicator) == "1":
rf = bd.getRecoveryFactor(stock_code_163, stock_code_sina, start_date)
bd.insertRecoveryFactor(stock_code, rf)
logger.info("INSERT RF DATA COMPLETED")
else:
logger.error("NO DATA IS RECEIVED FROM 163")
result_set = dbu.query(sql)
if len(result_set) > 0:
logger.info("NOT ALL STOCKS ARE UPDATED, WAIT 10 MINUTES FOR NEXT UPDATE")
tm.sleep(10*60)
return "COMPLETED"示例3: update
# 需要导入模块: import BasicData [as 别名]
# 或者: from BasicData import insertRecoveryFactor [as 别名]
def update(end_date):
indexes = bd.getStocks(True)
for each in indexes:
stock_code = each[0]
stock_code_163 = each[3]
start_date = each[5]
if start_date is None:
start_date = du.convertStringToDate("1990-01-01", "%Y-%m-%d")
elif start_date == end_date:
continue
else:
start_date = start_date + timedelta(1)
data = bd.getStockData(stock_code_163, start_date, end_date)
last_updated_date = data[0].split(",")[0]
bd.insertBasicData(stock_code, data)
bd.insertTechData(stock_code, data)
bd.insertAnalysisData(stock_code, data)
bd.updateMasterDate("LAST_UPDATED_DATE", last_updated_date, stock_code_163)
stocks = bd.getStocks(False)
for each in stocks:
stock_code = each[0]
stock_code_163 = each[3]
stock_code_sina = each[4]
start_date = each[5]
if start_date is None:
start_date = du.convertStringToDate("1990-01-01", "%Y-%m-%d")
elif start_date == end_date:
continue
else:
start_date = start_date + timedelta(1)
data = bd.getStockData(stock_code_163, start_date, end_date)
last_updated_date = data[0].split(",")[0]
bd.insertBasicData(stock_code, data)
bd.insertTechData(stock_code, data)
bd.insertAnalysisData(stock_code, data)
bd.updateMasterDate("LAST_UPDATED_DATE", last_updated_date, stock_code_163)
rf = bd.getRecoveryFactor(stock_code_163, stock_code_sina, start_date)
bd.insertRecoveryFactor(stock_code, rf)