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    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#号开始的表示注释，注释需单独一行\n# 多个特征，每行一个，可以包含基础特征和衍生特征，特征须为本平台特征\ncond1 = ((price_limit_status_1 ==3) & (price_limit_status_2 < 3) & (price_limit_status_3 < 3) & (price_limit_status_4 < 3))","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"features_ds","node_id":"-150"}],"output_ports":[{"name":"data","node_id":"-150"}],"cacheable":true,"seq_num":2,"comment":"","comment_collapsed":true},{"node_id":"-155","module_id":"BigQuantSpace.join.join-v3","parameters":[{"name":"on","value":"date,instrument","type":"Literal","bound_global_parameter":null},{"name":"how","value":"inner","type":"Literal","bound_global_parameter":null},{"name":"sort","value":"False","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"data1","node_id":"-155"},{"name":"data2","node_id":"-155"}],"output_ports":[{"name":"data","node_id":"-155"}],"cacheable":true,"seq_num":3,"comment":"","comment_collapsed":true},{"node_id":"-162","module_id":"BigQuantSpace.filter.filter-v3","parameters":[{"name":"expr","value":"cond1","type":"Literal","bound_global_parameter":null},{"name":"output_left_data","value":"False","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"input_data","node_id":"-162"}],"output_ports":[{"name":"data","node_id":"-162"},{"name":"left_data","node_id":"-162"}],"cacheable":true,"seq_num":4,"comment":"","comment_collapsed":true},{"node_id":"-330","module_id":"BigQuantSpace.general_feature_extractor.general_feature_extractor-v7","parameters":[{"name":"start_date","value":"","type":"Literal","bound_global_parameter":null},{"name":"end_date","value":"","type":"Literal","bound_global_parameter":null},{"name":"before_start_days","value":90,"type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"instruments","node_id":"-330"},{"name":"features","node_id":"-330"}],"output_ports":[{"name":"data","node_id":"-330"}],"cacheable":true,"seq_num":5,"comment":"","comment_collapsed":true},{"node_id":"-513","module_id":"BigQuantSpace.input_features.input_features-v1","parameters":[{"name":"features","value":"\n# 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    In [16]:
    # 本代码由可视化策略环境自动生成 2022年3月7日 10:50
# 本代码单元只能在可视化模式下编辑。您也可以拷贝代码，粘贴到新建的代码单元或者策略，然后修改。


m1 = M.instruments.v2(
    start_date='2020-01-01',
    end_date='2021-01-01',
    market='CN_STOCK_A',
    instrument_list='',
    max_count=0
)

m7 = M.input_features.v1(
    features="""
# #号开始的表示注释，注释需单独一行
# 多个特征，每行一个，可以包含基础特征和衍生特征，特征须为本平台特征
high_1
close_0"""
)

m2 = M.input_features.v1(
    features_ds=m7.data,
    features="""
# #号开始的表示注释，注释需单独一行
# 多个特征，每行一个，可以包含基础特征和衍生特征，特征须为本平台特征
cond1 = ((price_limit_status_1 ==3) & (price_limit_status_2 < 3) & (price_limit_status_3 < 3) & (price_limit_status_4 < 3))"""
)

m5 = M.general_feature_extractor.v7(
    instruments=m1.data,
    features=m2.data,
    start_date='',
    end_date='',
    before_start_days=90
)

m6 = M.derived_feature_extractor.v3(
    input_data=m5.data,
    features=m2.data,
    date_col='date',
    instrument_col='instrument',
    drop_na=False,
    remove_extra_columns=False,
    user_functions={}
)

m3 = M.join.v3(
    data1=m1.data,
    data2=m6.data,
    on='date,instrument',
    how='inner',
    sort=False
)

m4 = M.filter.v3(
    input_data=m3.data,
    expr='cond1',
    output_left_data=False
)

    ---------------------------------------------------------------------------
HDF5ExtError                              Traceback (most recent call last)
<ipython-input-16-176fa92bcf50> in <module>
     35 )
     36 
---> 37 m3 = M.join.v3(
     38     data1=m1.data,
     39     data2=m5.data,

HDF5ExtError: HDF5 error back trace

  File "H5F.c", line 509, in H5Fopen
    unable to open file
  File "H5Fint.c", line 1400, in H5F__open
    unable to open file
  File "H5Fint.c", line 1700, in H5F_open
    unable to read superblock
  File "H5Fsuper.c", line 411, in H5F__super_read
    file signature not found

End of HDF5 error back trace

Unable to open/create file '/var/app/data/bigquant/datasource/user/v3/d/c9/dc9a2ed5219348abb443895e4a487335T'