microsoft / microsoft/qlib

Backtest/joblib worker crash: AttributeError: No such registered in self._config

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Description

🐛 Bug Description

During backtests that spawn joblib workers, fresh worker processes import Qlib and call config.register_from_C(g_config). That function checks C.registered before copying g_config. Because worker C._config lacks the key on first access, Config.getattr raises:
AttributeError: No such registered in self._config

Proposed fix
In qlib/config.py register_from_C:
Replace:
if C.registered and skip_register:
With:
if getattr(C, "registered", False) and skip_register:
After merging g_config into the worker:
self._config["registered"] = True

To Reproduce

qlib.backtest.report.PortfolioMetrics._cal_benchmark → qlib.utils.resam.get_higher_eq_freq_feature → D.features → DatasetD.dataset → dataset_processor → joblib.Parallel → qlib.data.data.inst_calculator → qlib.config.C.register_from_C
qlib/config.py: register_from_C:
if C.registered and skip_register: # raises AttributeError (key missing in worker)

Expected Behavior

Worker config should safely sync from the main process without assuming the key exists.

Environment

OS: Windows 11
Python: 3.10
Qlib: 0.9.7
Joblib: version bundled with Qlib deps
Backend: default process-based Parallel

Additional Notes

This avoids needing user-side hacks or thread-only backends. Defaulting the flag to False on first access is consistent with intent and prevents the worker crash.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start in qlib/config.py at register_from_C and reproduce the failure through the joblib.Parallel worker path described in the issue. Verify that a fresh worker can sync g_config without raising AttributeError and that the backtest worker completes successfully.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
45/100

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