{"description":"实验创建于2017/8/26","graph":{"edges":[{"to_node_id":"-14759:instruments","from_node_id":"-14750:data"},{"to_node_id":"-14759:features","from_node_id":"-14765:data"}],"nodes":[{"node_id":"-14750","module_id":"BigQuantSpace.instruments.instruments-v2","parameters":[{"name":"start_date","value":"2019-01-01","type":"Literal","bound_global_parameter":null},{"name":"end_date","value":"2022-03-01","type":"Literal","bound_global_parameter":null},{"name":"market","value":"CN_CONBOND","type":"Literal","bound_global_parameter":null},{"name":"instrument_list","value":"","type":"Literal","bound_global_parameter":null},{"name":"max_count","value":0,"type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"rolling_conf","node_id":"-14750"}],"output_ports":[{"name":"data","node_id":"-14750"}],"cacheable":true,"seq_num":1,"comment":"","comment_collapsed":true},{"node_id":"-14759","module_id":"BigQuantSpace.use_datasource.use_datasource-v1","parameters":[{"name":"datasource_id","value":"bar1d_CN_BOND","type":"Literal","bound_global_parameter":null},{"name":"start_date","value":"2019-01-01","type":"Literal","bound_global_parameter":null},{"name":"end_date","value":"2022-03-01","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"instruments","node_id":"-14759"},{"name":"features","node_id":"-14759"}],"output_ports":[{"name":"data","node_id":"-14759"}],"cacheable":true,"seq_num":2,"comment":"","comment_collapsed":true},{"node_id":"-14765","module_id":"BigQuantSpace.input_features.input_features-v1","parameters":[{"name":"features","value":"\n# #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\nreturn_5\nreturn_10\nreturn_20\n","type":"Literal","bound_global_parameter":null}],"input_ports":[{"name":"features_ds","node_id":"-14765"}],"output_ports":[{"name":"data","node_id":"-14765"}],"cacheable":true,"seq_num":3,"comment":"","comment_collapsed":true}],"node_layout":"<node_postions><node_position Node='-14750' Position='200.790283203125,59.179931640625,200,200'/><node_position Node='-14759' Position='342.43212890625,325.5912780761719,200,200'/><node_position Node='-14765' Position='626.858154296875,66.03353118896484,200,200'/></node_postions>"},"nodes_readonly":false,"studio_version":"v2"}
[2022-03-02 21:58:26.796047] INFO: moduleinvoker: instruments.v2 开始运行..
[2022-03-02 21:58:26.804884] INFO: moduleinvoker: 命中缓存
[2022-03-02 21:58:26.807939] INFO: moduleinvoker: instruments.v2 运行完成[0.011904s].
[2022-03-02 21:58:26.815930] INFO: moduleinvoker: use_datasource.v1 开始运行..
[2022-03-02 21:58:28.443223] INFO: moduleinvoker: use_datasource.v1 运行完成[1.627299s].
[2022-03-02 21:58:28.448970] INFO: moduleinvoker: input_features.v1 开始运行..
[2022-03-02 21:58:28.477095] INFO: moduleinvoker: 命中缓存
[2022-03-02 21:58:28.480217] INFO: moduleinvoker: input_features.v1 运行完成[0.031221s].
[2022-03-02 21:58:28.490542] INFO: moduleinvoker: use_datasource.v1 开始运行..
[2022-03-02 21:58:28.510497] ERROR: moduleinvoker: module name: use_datasource, module version: v1, trackeback: _pickle.UnpicklingError: invalid load key, 'H'.
---------------------------------------------------------------------------
UnpicklingError Traceback (most recent call last)
<ipython-input-26-3f8c85675a55> in <module>
28 )
29
---> 30 m2 = M.use_datasource.v1(
31 instruments=m4.data,
32 features=m3.data,
UnpicklingError: invalid load key, 'H'.