get_name_code无法正确获得数据

[Vorteile]

import qstock as qs
codes = qs.get_name_code()
运行时只有极小概率获得100条数据，其他时候会报：
KeyError: "None of [Index(['代码', '名称', '涨幅', '最新', '最高', '最低', '今开', '换手率', '量比', '市盈率', '成交量',\n '成交额', '昨收', '总市值', '流通市值', '编号', '更新时间戳'],\n dtype='object')] are in the [columns]"
具体日志：

KeyError Traceback (most recent call last)
---> 21 #codes = qs.get_name_code('ETF')

File /qstock/data/trade.py:59, in get_name(market)
46 def get_name(market='沪深A'):
47 """
48 获取某市场交易标的代码和名称
49 market表示行情名称或列表，默认沪深A股
(...)
57 '深证指数':深证系列指数市场;'ETF' ETF基金市场;'LOF' LOF 基金市场
58 """
---> 59 df=market_realtime(market)
60 names=list(df['名称'])
61 return names

File /qstock/data/trade.py:184, in market_realtime(market)
182 # 数据清洗和转换
183 df_total = df_total.rename(columns=trade_detail_dict)
--> 184 df_total = df_total[trade_detail_dict.values()]
186 df_total['ID'] = df_total['编号'].astype(str) + '.' + df_total['代码'].astype(str)
187 df_total['市场'] = df_total['编号'].astype(str).apply(lambda x: market_num_dict.get(x))

File /pandas/core/frame.py:4108, in DataFrame.getitem(self, key)
4106 if is_iterator(key):
4107 key = list(key)
-> 4108 indexer = self.columns._get_indexer_strict(key, "columns")[1]
4110 # take() does not accept boolean indexers
4111 if getattr(indexer, "dtype", None) == bool:

File /pandas/core/indexes/base.py:6200, in Index._get_indexer_strict(self, key, axis_name)
6197 else:
6198 keyarr, indexer, new_indexer = self._reindex_non_unique(keyarr)
-> 6200 self._raise_if_missing(keyarr, indexer, axis_name)
6202 keyarr = self.take(indexer)
6203 if isinstance(key, Index):
6204 # GH 42790 - Preserve name from an Index

File /pandas/core/indexes/base.py:6249, in Index._raise_if_missing(self, key, indexer, axis_name)
6247 if nmissing:
6248 if nmissing == len(indexer):
-> 6249 raise KeyError(f"None of [{key}] are in the [{axis_name}]")
6251 not_found = list(ensure_index(key)[missing_mask.nonzero()[0]].unique())
6252 raise KeyError(f"{not_found} not in index")

在执行第 184 行时，df_total 中缺少了 trade_detail_dict.values() 列表中的某些或全部列名。如果 key 列表，也就是trade_detail_dict.values() 列表中哪怕有一个元素在 DataFrame 的当前列中找不到，它就会立即抛出 KeyError。