manual update seems don't work
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Description
❓ Questions and Help
double confirm if manual daily update don't works. If yes, when it will go back to normal? and warnings frequently pop up when running "collector.py".
logs of warning:
"FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.
The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.
For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.
"
error logs:"r.utils:wrapper:517 - _get_simple: 1 :get data error: 000003.sz--2020-09-24 00:00:00+08:00--2025-02-12 00:00:00+08:00The stock may be delisted, please check
2025-02-12 08:16:54.421 | WARNING | data_collector.utils:wrapper:517 - _get_simple: 2 :get data error: 000003.sz--2020-09-24 00:00:00+08:00--2025-02-12 00:00:00+08:00The stock may be delisted, please check
2025-02-12 08:16:59.701 | WARNING | data_collector.utils:wrapper:517 - _get_simple: 3 :get data error: 000003.sz--2020-09-24 00:00:00+08:00--2025-02-12 00:00:00+08:00The stock may be delisted, please check
2025-02-12 08:17:05.112 | WARNING | data_collector.utils:wrapper:517 - _get_simple: 4 :get data error: 000003.sz--2020-09-24 00:00:00+08:00--2025-02-12 00:00:00+08:00The stock may be delisted, please check
2025-02-12 08:17:10.313 | WARNING | data_collector.utils:wrapper:517 - _get_simple: 5 :get data error: 000003.sz--2020-09-24 00:00:00+08:00--2025-02-12 00:00:00+08:00The stock may be delisted, please check
2025-02-12 08:17:10.314 | WARNING | data_collector.base:save_instrument:163 - 000003.sz is empty"
We sincerely suggest you to carefully read the documentation of our library as well as the official paper. After that, if you still feel puzzled, please describe the question clearly under this issue.
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by running collector.py and trace the logged calls in data_collector.utils (wrapper) and data_collector.base (save_instrument). Check whether the pandas warning and the empty 000003.sz result reproduce; done means identifying whether the manual update failure is caused by the warning or the stock-data response and documenting the confirmed outcome.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas, python
- Domain
- data-engineering
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100