mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-29 08:27:43 +00:00
Xu Yang
e0a24fb46f
* ignore result csv file * fix app scripts * rename taskgenerator to developer and generate to develop * fix a config bug in coder * fix a small bug in factor coder evaluators * remove a single logger in factor coder evaluators * fix a small bug in model coder main.py * rename Implementation to Workspace * move the prepare the inject_code into FBWorkspace to align all the behavior * fix a small bug in model feedback * remove debug lines for multi processing and simplify evaluators multi proc * add a copy function to workspace to freeze the workspace && add config prefix to speed up debugging * make hypothesisgen a abc class * use Qlib***Experiment * fix a small bug * rename Imp to Ws * rename sub_implementations to sub_workspace_list * fix a bug in feedback not presented as content in prompts * move proposal pys to proposal folder * reformat the folder * align factor and model qlib workspace and use template to handle the workspace * add a filter to evoagent to filter out false evo * align multi_proc_n into RDAGENT seeting * handle when runner gets empty experiment * fix logger merge remaining problems * fix black and isort automatically
35 lines
1.7 KiB
Python
35 lines
1.7 KiB
Python
from pathlib import Path
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from pydantic_settings import BaseSettings
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class PropSetting(BaseSettings):
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class Config:
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env_prefix = "QLIB_" # Use MODEL_CODER_ as prefix for environment variables
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protected_namespaces = () # Add 'model_' to the protected namespaces
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factor_scen: str = "rdagent.scenarios.qlib.experiment.factor_experiment.QlibFactorScenario"
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factor_hypothesis_gen: str = "rdagent.scenarios.qlib.proposal.factor_proposal.QlibFactorHypothesisGen"
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factor_hypothesis2experiment: str = (
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"rdagent.scenarios.qlib.proposal.factor_proposal.QlibFactorHypothesis2Experiment"
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)
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factor_coder: str = "rdagent.scenarios.qlib.developer.factor_coder.QlibFactorCoSTEER"
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factor_runner: str = "rdagent.scenarios.qlib.developer.factor_runner.QlibFactorRunner"
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factor_summarizer: str = "rdagent.scenarios.qlib.developer.feedback.QlibFactorHypothesisExperiment2Feedback"
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# TODO: model part is not finished yet
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model_scen: str = "rdagent.scenarios.qlib.experiment.model_experiment.QlibModelScenario"
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model_hypothesis_gen: str = "rdagent.scenarios.qlib.proposal.model_proposal.QlibModelHypothesisGen"
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model_hypothesis2experiment: str = "rdagent.scenarios.qlib.proposal.model_proposal.QlibModelHypothesis2Experiment"
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model_coder: str = "rdagent.scenarios.qlib.developer.model_coder.QlibModelCoSTEER"
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model_runner: str = "rdagent.scenarios.qlib.developer.model_runner.QlibModelRunner"
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model_summarizer: str = "rdagent.scenarios.qlib.developer.feedback.QlibModelHypothesisExperiment2Feedback"
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evolving_n: int = 10
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py_bin: str = "/usr/bin/python"
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local_qlib_folder: Path = Path("/home/rdagent/qlib")
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PROP_SETTING = PropSetting()
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