def _Find(self,
code_id,
code_name='',
code_nameEN='',
exType="",
nReturn=10):
if (code_nameEN == ""):
code_nameEN = myData_Trans.Tran_ToStr_FirstLetters(code_name, True)
length = len(code_id)
length_name = len(code_name)
length_nameEN = len(code_nameEN)
lstR = []
for x in self.lstStock:
if (length > 0):
if (x.code_id[0:length] == code_id): #等长匹配
if (len(lstR) < nReturn):
if (exType == "" or exType == x.extype):
lstR.append(x)
continue
if (length_name > 0):
if (x.code_name[0:length_name] == code_name
or x.code_name.find(code_name) >= 0): #等长、模糊匹配
if (len(lstR) < nReturn):
lstR.append(x)
continue
if (length_nameEN > 0):
if (x.code_name_En[0:length_nameEN] == code_nameEN): #等长匹配
if (len(lstR) < nReturn):
lstR.append(x)
continue
return lstR
def _Find(self, code_id, code_name = '', code_nameEN = '', exType = "", nReturn = 10, useFuzzy = True):
if(code_nameEN == ""): code_nameEN = myData_Trans.Tran_ToStr_FirstLetters(code_name, True)
if(code_id.count('.') == 1):
infos = code_id.split('.'); code_id = infos[1]; exType = infos[0];
length = len(code_id)
length_name = len(code_name)
length_nameEN = len(code_nameEN)
lstR = []
for x in self.lstStock:
if(length > 0):
if(x.code_id[0: length] == code_id): #等长匹配
if(len(lstR) < nReturn):
if(exType == "" or exType == x.extype):
lstR.append(x)
continue
if(length_name > 0):
if(x.code_name == code_name or (useFuzzy and x.code_name.find(code_name)>=0)): #等长、模糊匹配
if(len(lstR) < nReturn):
lstR.append(x)
continue
if(length_nameEN > 0):
if(x.code_name_En[0: length_nameEN] == code_nameEN): #等长匹配
if(len(lstR) < nReturn):
lstR.append(x)
continue
return lstR
def __init__(self,
extype,
code,
code_name,
code_name_En,
type="Stock",
area="CN",
exName="",
extype2='',
source_set='',
source_code=''):
self.extype = extype #股票交易所代码:
self.extype2 = extype2 #股票交易所代码
self.exName = exName #股票交易所名称
self.code_id = code #股票代码
self.code_name = code_name #股票名称
if (code_name_En == ""):
code_name_En = myData_Trans.Tran_ToStr_FirstLetters(
code_name, True)
self.code_name_En = code_name_En #数据名称首字母
self.source_set = source_set #数据源名称
self.source_code = source_code #数据源对应的代码
self.tradeStatus = 1 #状态（1：正常，0：停牌）
self.type = type #数据类型
self.area = area #国家分类
self.isIndex = self.IsIndex()
self.CheckInfo()
def _init_Updata(self):
#校检最新
bExist = os.path.exists(self.Path_Stock)
if (bExist):
t = os.path.getmtime(self.Path_Stock)
t = time.localtime(t)
tNow = time.localtime()
if (bExist == False or tNow.tm_year != t.tm_year
or tNow.tm_mon != t.tm_mon or tNow.tm_mday != t.tm_mday):
#获取标的信息
dataSecurities = self.quoteSource.getSecurities(
['index', 'stock', 'etf'])
#循环所有
data_list = []
for indexs in dataSecurities.index:
data = dataSecurities.loc[indexs]
pDatas = data.name.split('.')
pDatas.reverse()
pDatas.append(data['display_name'])
pDatas.append(
myData_Trans.Tran_ToStr_FirstLetters(
data['display_name'], True))
pDatas.append(data['type'])
pDatas.append('')
pDatas.append(exInfos.get(pDatas[0], '未知'))
pDatas.append(pDatas[0])
if (pDatas[0] == "XSHE"):
pDatas[0] = 'sz'
pDatas[5] = 'CN'
elif (pDatas[0] == "XSHG"):
pDatas[0] = 'sh'
pDatas[5] = 'CN'
data_list.append(pDatas)
# pDatas.append(data['name'])
# pDatas.append(data['start_date'])
# pDatas.append(data['end_date'])
self._Init_Default(data_list)
#组合输出结果
result = pd.DataFrame(data_list, columns=self.setFields)
result.to_csv(self.Path_Stock, encoding="utf-8", index=False)
def _init_Updata(self):
#校检最新
bExist = os.path.exists(self.Path_Stock)
if(bExist):
t = os.path.getmtime(self.Path_Stock)
t = time.localtime(t)
tNow = time.localtime()
if(bExist == False or tNow.tm_year != t.tm_year or tNow.tm_mon != t.tm_mon or tNow.tm_mday != t.tm_mday):
#获取标的信息
dataSecurities = self.quoteSource.getSecurities(['index', 'stock', 'etf'])
#循环所有
data_list = []
for indexs in dataSecurities.index:
data = dataSecurities.loc[indexs]
pDatas = data.name.split('.')
pDatas.reverse()
pDatas.append(data['display_name'])
pDatas.append(myData_Trans.Tran_ToStr_FirstLetters(data['display_name'], True))
pDatas.append(data['type'])
pDatas.append('')
pDatas.append(exInfos.get(pDatas[0], '未知'))
pDatas.append(pDatas[0])
pDatas.append("")
pDatas.append("")
if(pDatas[0] == "XSHE"):
pDatas[0] = 'sz'
pDatas[5] = 'CN'
elif(pDatas[0] == "XSHG"):
pDatas[0] = 'sh'
pDatas[5] = 'CN'
data_list.append(pDatas)
# pDatas.append(data['name'])
# pDatas.append(data['start_date'])
# pDatas.append(data['end_date'])
'''
#期权信息
opts = []
opts_300ETF = self.quoteSource.getOptInfos("510050.XSHG", 12)
opts = opts + opts_300ETF
for x in opts:
pDatas = []
pDatas.append(x['name'].split('.')[1])
pDatas.append(x['name'].split('.')[0])
pDatas.append(x['display_name'])
pDatas.append(myData_Trans.Tran_ToStr_FirstLetters(x['display_name'], True))
pDatas.append(x['type'])
pDatas.append('')
pDatas.append(exInfos.get(pDatas[0], '未知'))
pDatas.append(pDatas[0])
pDatas.append("JqDataAPI")
pDatas.append(x['name'])
if(pDatas[0] == "XSHE"):
pDatas[0] = 'sz'
pDatas[5] = 'CN'
elif(pDatas[0] == "XSHG"):
pDatas[0] = 'sh'
pDatas[5] = 'CN'
data_list.append(pDatas)
'''
#期权信息
opts = []
opts_300ETF = self.quoteSource_2.getOptInfos("50ETF", extype = "sh")
opts_300ETF = opts_300ETF + self.quoteSource_2.getOptInfos("300ETF", extype = "sh")
opts = opts + opts_300ETF
for x in opts:
pDatas = []
pDatas.append(x['name'].split('.')[1])
pDatas.append(x['name'].split('.')[0])
pDatas.append(x['display_name'])
pDatas.append(myData_Trans.Tran_ToStr_FirstLetters(x['display_name'], True))
pDatas.append(x['type'])
pDatas.append('CN')
pDatas.append(exInfos.get(pDatas[0], '未知'))
pDatas.append(x['extype2'])
pDatas.append("")
pDatas.append(x['source_code'])
data_list.append(pDatas)
self._Init_Default(data_list)
#组合输出结果
result = pd.DataFrame(data_list, columns=self.setFields)
result.to_csv(self.Path_Stock, encoding="utf-8", index=False)