def __init__(self,
exchanges=['sh', 'sz'],
entity_ids=None,
codes=None,
batch_size=10,
force_update=True,
sleeping_time=0,
default_size=2000,
real_time=False,
fix_duplicate_way='ignore',
start_timestamp=None,
end_timestamp=None,
level=IntervalLevel.LEVEL_1WEEK,
kdata_use_begin_time=False,
close_hour=15,
close_minute=0,
one_day_trading_minutes=4 * 60,
adjust_type=AdjustType.qfq) -> None:
level = IntervalLevel(level)
adjust_type = AdjustType(adjust_type)
self.data_schema = get_kdata_schema(entity_type='stock', level=level, adjust_type=adjust_type)
self.tl_trading_level = to_jq_trading_level(level)
if self.tl_trading_level != "1d":
self.logger.info('通联数据目前仅支持日K线，level入参仅支持：1d，实际level入参为'.format(self.tl_trading_level))
raise Exception
super().__init__('stock', exchanges, entity_ids, codes, batch_size, force_update, sleeping_time,
default_size, real_time, fix_duplicate_way, start_timestamp, end_timestamp, close_hour,
close_minute, level, kdata_use_begin_time, one_day_trading_minutes)
self.adjust_type = adjust_type
self.tonglian_conn = create_engine(
f"mysql://{zvt_env['tl_username']}:{zvt_env['tl_password']}@{zvt_env['tl_server_address']}:"
f"{zvt_env['tl_server_port']}/{zvt_env['tl_db_name']}?charset=utf8mb4", pool_recycle=3600, echo=False).connect()
def __init__(self,
entity_type='etf',
exchanges=['sh', 'sz'],
entity_ids=None,
codes=None,
batch_size=10,
force_update=True,
sleeping_time=0,
default_size=2000,
real_time=False,
fix_duplicate_way='ignore',
start_timestamp=None,
end_timestamp=None,
level=IntervalLevel.LEVEL_1WEEK,
kdata_use_begin_time=False,
close_hour=15,
close_minute=0,
one_day_trading_minutes=4 * 60,
adjust_type=AdjustType.qfq) -> None:
level = IntervalLevel(level)
adjust_type = AdjustType(adjust_type)
self.data_schema = get_kdata_schema(entity_type=entity_type,
level=level,
adjust_type=adjust_type)
self.jq_trading_level = to_jq_trading_level(level)
super().__init__('stock', exchanges, entity_ids, codes, batch_size,
force_update, sleeping_time, default_size, real_time,
fix_duplicate_way, start_timestamp, end_timestamp,
close_hour, close_minute, level, kdata_use_begin_time,
one_day_trading_minutes)
self.adjust_type = adjust_type
auth(zvt_env['jq_username'], zvt_env['jq_password'])
print(f"剩余{get_query_count()['spare']/10000}万")
def __init__(self,
# exchanges=['hk','sh','sz','o','a','n'],
exchanges=['o','a','n'],
entity_ids=None,
codes=None,
batch_size=10,
force_update=True,
sleeping_time=0,
default_size=2000,
real_time=False,
fix_duplicate_way='ignore',
start_timestamp=None,
end_timestamp=None,
level=IntervalLevel.LEVEL_1WEEK,
kdata_use_begin_time=False,
close_hour=15,
close_minute=0,
one_day_trading_minutes=4 * 60,
adjust_type=AdjustType.qfq) -> None:
level = IntervalLevel(level)
adjust_type = AdjustType(adjust_type)
self.data_schema = get_kdata_schema(entity_type='stock', level=level, adjust_type=adjust_type)
self.jq_trading_level = to_jq_trading_level(level)
super().__init__('stock', exchanges, entity_ids, codes, batch_size, force_update, sleeping_time,
default_size, real_time, fix_duplicate_way, start_timestamp, end_timestamp, close_hour,
close_minute, level, kdata_use_begin_time, one_day_trading_minutes)
self.adjust_type = adjust_type
# 调用登录函数（激活后使用，不需要用户名密码）
loginResult = c.start("ForceLogin=1", '')
if (loginResult.ErrorCode != 0):
print("login in fail")
exit()
def __init__(self,
exchanges=['huobipro', 'binance'],
entity_ids=None,
codes=None,
batch_size=10,
force_update=True,
sleeping_time=0,
default_size=2000,
real_time=False,
fix_duplicate_way='ignore',
start_timestamp=None,
end_timestamp=None,
level=IntervalLevel.LEVEL_1DAY,
kdata_use_begin_time=False,
close_hour=15,
close_minute=0,
one_day_trading_minutes=4 * 60,
adjust_type=AdjustType.qfq) -> None:
level = IntervalLevel(level)
adjust_type = AdjustType(adjust_type)
self.data_schema = get_kdata_schema(entity_type='coin',
level=level,
adjust_type=adjust_type)
super().__init__('coin', exchanges, entity_ids, codes, batch_size,
force_update, sleeping_time, default_size, real_time,
fix_duplicate_way, start_timestamp, end_timestamp,
close_hour, close_minute, level, kdata_use_begin_time,
one_day_trading_minutes)
self.adjust_type = adjust_type
def __init__(self,
exchanges=['sh', 'sz'],
entity_ids=None,
codes=None,
batch_size=10,
force_update=True,
sleeping_time=0,
default_size=2000,
real_time=False,
fix_duplicate_way='ignore',
start_timestamp=None,
end_timestamp=None,
level=IntervalLevel.LEVEL_1WEEK,
kdata_use_begin_time=False,
close_hour=15,
close_minute=0,
one_day_trading_minutes=4 * 60,
adjust_type=AdjustType.qfq,
share_para=None) -> None:
level = IntervalLevel(level)
adjust_type = AdjustType(adjust_type)
self.data_schema = get_kdata_schema(entity_type=EntityType.Stock, level=level, adjust_type=adjust_type)
self.bao_trading_level = to_bao_trading_level(level)
super().__init__(EntityType.Stock, exchanges, entity_ids, codes, batch_size, force_update, sleeping_time,
default_size, real_time, fix_duplicate_way, start_timestamp, end_timestamp, close_hour,
close_minute, level, kdata_use_begin_time, one_day_trading_minutes, share_para=share_para)
self.adjust_type = adjust_type
def get_kdata_schema(entity_type: str,
level: Union[IntervalLevel, str] = IntervalLevel.LEVEL_1DAY,
adjust_type: Union[AdjustType, str] = None):
if type(level) == str:
level = IntervalLevel(level)
if type(adjust_type) == str:
adjust_type = AdjustType(adjust_type)
# kdata schema rule
# 1)name:{SecurityType.value.capitalize()}{IntervalLevel.value.upper()}Kdata
if adjust_type and (adjust_type != AdjustType.qfq):
schema_str = '{}{}{}Kdata'.format(entity_type.capitalize(), level.value.capitalize(),
adjust_type.value.capitalize())
else:
schema_str = '{}{}Kdata'.format(entity_type.capitalize(), level.value.capitalize())
return eval(schema_str)
def __init__(self,
exchanges=['sh', 'sz'],
entity_ids=None,
codes=None,
batch_size=10,
force_update=True,
sleeping_time=0,
default_size=2000,
real_time=False,
fix_duplicate_way='ignore',
start_timestamp=None,
end_timestamp=None,
level=IntervalLevel.LEVEL_1WEEK,
kdata_use_begin_time=False,
close_hour=15,
close_minute=0,
one_day_trading_minutes=4 * 60,
adjust_type=AdjustType.qfq) -> None:
level = IntervalLevel(level)
adjust_type = AdjustType(adjust_type)
self.data_schema = get_kdata_schema(entity_type='stock',
level=level,
adjust_type=adjust_type)
self.bs_trading_level = to_bs_trading_level(level)
super().__init__('stock', exchanges, entity_ids, codes, batch_size,
force_update, sleeping_time, default_size, real_time,
fix_duplicate_way, start_timestamp, end_timestamp,
close_hour, close_minute, level, kdata_use_begin_time,
one_day_trading_minutes)
self.adjust_type = adjust_type
print("尝试登陆baostock")
#####login#####
lg = bs.login(user_id="anonymous", password="******")
if (lg.error_code == '0'):
print("登陆成功")
else:
print("登录失败")
