def _get_sz_index_kline(start_date: datetime.date):
rdindex = redisRW.redisrw(redisRW.db_index)
rdindex.delete(comm.index_sz_code)
klines = dataBaostock.get_kline_index_from_start_date(
comm.index_sz_code, start_date)
k_len = len(klines)
if k_len == 0:
raise Exception('指数K线获取错误。')
# 计算
zbKline.klines_calculate(comm.index_sz_code, klines)
if k_len != rdindex.wirte_l_datas(comm.index_sz_code, klines):
raise Exception('指数K线存储错误。')
def get_all_clear_finance_qfq_kline_from_start_date(start_date: datetime.date):
rdkline = redisRW.redisrw(redisRW.db_kline)
rdkline_week = redisRW.redisrw(redisRW.db_kline_week)
rdbaseinfo = redisRW.redisrw(redisRW.db_baseinfo)
rdhangye = redisRW.redisrw(redisRW.db_hangye)
rdfinance = redisRW.redisrw(redisRW.db_finance)
# 清空数据
rdkline.del_db()
rdkline_week.del_db()
# 3年的财务信息
cw_start_year = datetime.datetime.now().year - 3
# 获取指数
_get_sz_index_kline(start_date)
# 实例化通达信对象
tdx = dataTdx.DataTdx()
tdx.select_fast_addr()
# 没有行业信息则更新
if len(rdhangye.read_codes()) == 0:
hy = dataBaostock.get_hangye()
for h in hy:
rdhangye.write_json(h['code'], h)
# 读取市场股票
codes_info = tdx.get_szsh_a_codes()
bar = progressBar.progressbar()
bar.start('存储%s至今历史数据' % start_date.strftime('%Y%m%d'), len(codes_info))
for d in codes_info:
bar.progress()
code = d['code']
if comm.is_kzz(code):
klines = tdx.get_kline_from_count(code, 800)
none_klines = tdx.get_kline_from_count(code, 800)
k_len = len(klines)
if k_len == 0:
bar.out_text(code, '没有K线数据。')
continue
# 复权因子
dataBaostock.qfq_adjust_factor(none_klines, klines)
zbKline.klines_calculate(code, klines)
if k_len != rdkline.wirte_l_datas(code, klines):
bar.out_text(code, '历史K线数据存储错误。')
continue
continue
# 前复权k线
klines = dataBaostock.get_kline_from_start_date(code, start_date)
# 不复权k线
none_klines = dataBaostock.get_kline_from_start_date(code,
start_date,
adjustflag='3')
#klines = akshareData.get_kline(code, start_date)
k_len = len(klines)
if k_len == 0:
bar.out_text(code, '没有K线数据。')
continue
# 复权因子
dataBaostock.qfq_adjust_factor(none_klines, klines)
# 前复权周k线
klines_week = dataBaostock.get_kline_from_start_date(code,
start_date,
frequency='w')
# 计算
zbKline.klines_calculate(code, klines_week)
zbKline.klines_calculate(code, klines)
if k_len != rdkline.wirte_l_datas(code, klines) or \
len(klines_week) != rdkline_week.wirte_l_datas(code, klines_week):
bar.out_text(code, '历史K线数据存储错误。')
continue
# 没有财务数据则更新
if rdfinance.read_str(code) is None:
# 财务信息
finance_data = {
'code':
code,
'profit':
dataBaostock.get_profit_from_start_year(code, cw_start_year),
'balance':
dataBaostock.get_balance_from_start_year(code, cw_start_year),
'cash_flow':
dataBaostock.get_cash_flow_from_start_year(
code, cw_start_year),
'growth':
dataBaostock.get_growth_from_start_year(code, cw_start_year),
'operation':
dataBaostock.get_operation_from_start_year(
code, cw_start_year)
}
if not rdfinance.write_json(code, finance_data):
bar.out_text(code, '财务信息存储错误。')
# 没有基本信息则更新
'''if len(rdbaseinfo.read_l_str(code, 0, 0)) == 0: