【代码报错】请问这个错应该怎么修复TypeError Traceback (most recent call last)
由henry128创建，最终由small_q 被浏览 20 用户
10-31", "portfolio_value": 1000000.0, "cash": 1000000.0},json_cum_benchmark={"000300.HIX": 0.0, "000300.HIX.CUM": 0.0}) done rv=None
cum_return_plot: 1, before_shared_cum_return_plot: 0, after_shared_cum_return_plot: 0, benchmark_cum_return_plot: 1, hold_percent_plot: 1
[2023-11-01 00:11:29.251127] INFO hfpapertrading: invoke update_equity_algo(henry128,173975,2023-10-31,cum_return=0.0,today_return=0.0) done rv=None
[2023-11-01 00:11:29.254764] INFO hfpapertrading: hfpapertrading result, new_cash 1000000.0
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TypeError Traceback (most recent call last)
<ipython-input-1-0c660c0cbff3> in <module>
196 )
197
--> 198 m7 = M.bigtrader.v1(
199 instruments=m2.data,
200 options_data=m6.data,
/var/app/enabled/biglearning/module2/common/modulemanagerv2.cpython-38-x86_64-linux-gnu.so in biglearning.module2.common.modulemanagerv2.BigQuantModuleVersion.__call__()
/var/app/enabled/biglearning/module2/common/moduleinvoker.cpython-38-x86_64-linux-gnu.so in biglearning.module2.common.moduleinvoker.module_invoke()
/var/app/enabled/biglearning/module2/common/moduleinvoker.cpython-38-x86_64-linux-gnu.so in biglearning.module2.common.moduleinvoker._invoke_with_cache()
/var/app/enabled/biglearning/module2/common/modulecache.cpython-38-x86_64-linux-gnu.so in biglearning.module2.common.modulecache.cache_set()
/usr/local/python3/lib/python3.8/json/__init__.py in dumps(obj, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw)
232 if cls is None:
233 cls = JSONEncoder
--> 234 return cls(
235 skipkeys=skipkeys, ensure_ascii=ensure_ascii,
236 check_circular=check_circular, allow_nan=allow_nan, indent=indent,
/usr/local/python3/lib/python3.8/json/encoder.py in encode(self, o)
197 # exceptions aren't as detailed. The list call should be roughly
198 # equivalent to the PySequence_Fast that ''.join() would do.
--> 199 chunks = self.iterencode(o, _one_shot=True)
200 if not isinstance(chunks, (list, tuple)):
201 chunks = list(chunks)
/usr/local/python3/lib/python3.8/json/encoder.py in iterencode(self, o, _one_shot)
255 self.key_separator, self.item_separator, self.sort_keys,
256 self.skipkeys, _one_shot)
--> 257 return _iterencode(o, 0)
258
259 def _make_iterencode(markers, _default, _encoder, _indent, _floatstr,
/var/app/enabled/biglearning/module2/common/modulecache.cpython-38-x86_64-linux-gnu.so in biglearning.module2.common.modulecache._cache_value_encoder()
TypeError: _cache_value_encoder: not supported type: <class 'datetime.datetime'>
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