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IndexError: tuple index out of range

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    HDF5ExtError                              Traceback (most recent call last)
File /var/app/enabled/bigdatasource/impl/dsimpl/hdf.py:21, in wrapped_func(*args, **kwargs)
File /var/app/enabled/bigdatasource/impl/dsimpl/hdf.py:104, in read_hdf_from_bigma(fn, key)
File /usr/local/python3/lib/python3.8/site-packages/pandas/io/pytables.py:561, in HDFStore.__init__(self, path, mode, complevel, complib, fletcher32, **kwargs)
    560 self._filters = None
--> 561 self.open(mode=mode, **kwargs)
File /usr/local/python3/lib/python3.8/site-packages/pandas/io/pytables.py:710, in HDFStore.open(self, mode, **kwargs)
    708     raise ValueError(msg)
--> 710 self._handle = tables.open_file(self._path, self._mode, **kwargs)
File /usr/local/python3/lib/python3.8/site-packages/tables/file.py:315, in open_file(filename, mode, title, root_uep, filters, **kwargs)
    314 # Finally, create the File instance, and return it
--> 315 return File(filename, mode, title, root_uep, filters, **kwargs)
File /usr/local/python3/lib/python3.8/site-packages/tables/file.py:778, in File.__init__(self, filename, mode, title, root_uep, filters, **kwargs)
    777 # Now, it is time to initialize the File extension
--> 778 self._g_new(filename, mode, **params)
    780 # Check filters and set PyTables format version for new files.
File tables/hdf5extension.pyx:492, in tables.hdf5extension.File._g_new()
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 '/tmp/data.h5'
During handling of the above exception, another exception occurred:
IndexError                                Traceback (most recent call last)
Cell In[5], line 201
    175 m9 = M.derived_feature_extractor.v3(
    176     input_data=m8.data,
    177     features=m1.data,
   (...)
    182     user_functions={}
    183 )
    185 m5 = M.stock_ranker.v2(
    186     training_ds=m4.data,
    187     features=m1.data,
   (...)
    198     slim_data=True
    199 )
--> 201 m10 = M.trade.v4(
    202     instruments=m3.data,
    203     options_data=m5.model,
    204     start_date='2016-01-01',
    205     end_date='2018-01-01',
    206     initialize=m10_initialize_bigquant_run,
    207     handle_data=m10_handle_data_bigquant_run,
    208     prepare=m10_prepare_bigquant_run,
    209     before_trading_start=m10_before_trading_start_bigquant_run,
    210     volume_limit=0.025,
    211     order_price_field_buy='close',
    212     order_price_field_sell='close',
    213     capital_base=1000000,
    214     auto_cancel_non_tradable_orders=True,
    215     data_frequency='daily',
    216     price_type='后复权',
    217     product_type='股票',
    218     plot_charts=True,
    219     backtest_only=False,
    220     benchmark='000300.HIX'
    221 )
File /var/app/enabled/biglearning/module2/common/modulemanagerv2.py:88, in __call__(self, **kwargs)
File /var/app/enabled/biglearning/module2/common/moduleinvoker.py:331, in module_invoke(name, version, custom_module, kwargs)
File /var/app/enabled/biglearning/module2/common/moduleinvoker.py:214, in _invoke_with_cache(module, kwargs, module_cache_key, name, version, remote_run)
File /var/app/enabled/biglearning/module2/common/moduleinvoker.py:171, in _module_run(module, kwargs)
File /var/app/enabled/biglearning/module2/modules/trade/v4/__init__.py:363, in bigquant_run(start_date, end_date, initialize, handle_data, instruments, prepare, before_trading_start, volume_limit, order_price_field_buy, order_price_field_sell, capital_base, auto_cancel_non_tradable_orders, data_frequency, price_type, product_type, plot_charts, backtest_only, options_data, options, history_ds, benchmark_ds, benchmark, trading_calendar, amount_integer, m_meta_kwargs)
File /var/app/enabled/biglearning/module2/common/modulemanagerv2.py:88, in __call__(self, **kwargs)
File /var/app/enabled/biglearning/module2/common/moduleinvoker.py:331, in module_invoke(name, version, custom_module, kwargs)
File /var/app/enabled/biglearning/module2/common/moduleinvoker.py:214, in _invoke_with_cache(module, kwargs, module_cache_key, name, version, remote_run)
File /var/app/enabled/biglearning/module2/common/moduleinvoker.py:173, in _module_run(module, kwargs)
File /var/app/enabled/biglearning/module2/modules/backtest/v8/__init__.py:1055, in run(self)
File /var/app/enabled/biglearning/module2/modules/backtest/v8/__init__.py:1029, in run_algo(self)
File /var/app/enabled/bigline/zipline/algorithm.py:877, in TradingAlgorithm.run(self, data, overwrite_sim_params)
    875 try:
    876     perfs = []
--> 877     for perf in self.get_generator():
    878         perfs.append(perf)
    880         if self.show_debug_info:
File /var/app/enabled/bigline/zipline/algorithm.py:717, in TradingAlgorithm.get_generator(self)
    711 def get_generator(self):
    712     """
    713     Override this method to add new logic to the construction
    714     of the generator. Overrides can use the _create_generator
    715     method to get a standard construction generator.
    716     """
--> 717     return self._create_generator(self.sim_params)...

    Cell In[5], line 28, in m10_initialize_bigquant_run(context) 26 def m10_initialize_bigquant_run(context): 27 # 加载预测数据 ---> 28 context.ranker_prediction = context.options['data'].read_df() 30 # 系统已经设置了默认的交易手续费和滑点，要修改手续费可使用如下函数 31 context.set_commission(PerOrder(buy_cost=0.0003, sell_cost=0.0013, min_cost=5)) File /var/app/enabled/bigdatasource/api/v6/init.py:58, in read_df(self, key) File /var/app/enabled/bigdatasource/impl/dsimpl/hdf.py:91, in read_df(id, version, key) File /var/app/enabled/bigdatasource/impl/dsimpl/hdf.py:25, in wrapped_func(*args, **kwargs) IndexError: tuple index out of range


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