NexQuant/rdagent/app/qlib_rd_loop/conf.py

from pydantic_settings import BaseSettings

from rdagent.components.workflow.conf import BasePropSetting


class ModelBasePropSetting(BasePropSetting):
    class Config:
        env_prefix = "QLIB_MODEL_"
        """Use `QLIB_MODEL_` as prefix for environment variables"""
        protected_namespaces = ()
        """Add 'model_' to the protected namespaces"""

    # 1) override base settings
    scen: str = "rdagent.scenarios.qlib.experiment.model_experiment.QlibModelScenario"
    """Scenario class for Qlib Model"""

    hypothesis_gen: str = "rdagent.scenarios.qlib.proposal.model_proposal.QlibModelHypothesisGen"
    """Hypothesis generation class"""

    hypothesis2experiment: str = "rdagent.scenarios.qlib.proposal.model_proposal.QlibModelHypothesis2Experiment"
    """Hypothesis to experiment class"""

    coder: str = "rdagent.scenarios.qlib.developer.model_coder.QlibModelCoSTEER"
    """Coder class"""

    runner: str = "rdagent.scenarios.qlib.developer.model_runner.QlibModelRunner"
    """Runner class"""

    summarizer: str = "rdagent.scenarios.qlib.developer.feedback.QlibModelHypothesisExperiment2Feedback"
    """Summarizer class"""

    evolving_n: int = 10
    """Number of evolutions"""


class FactorBasePropSetting(BasePropSetting):
    class Config:
        env_prefix = "QLIB_FACTOR_"
        """Use `QLIB_FACTOR_` as prefix for environment variables"""
        protected_namespaces = ()
        """Add 'factor_' to the protected namespaces"""

    # 1) override base settings
    scen: str = "rdagent.scenarios.qlib.experiment.factor_experiment.QlibFactorScenario"
    """Scenario class for Qlib Factor"""

    hypothesis_gen: str = "rdagent.scenarios.qlib.proposal.factor_proposal.QlibFactorHypothesisGen"
    """Hypothesis generation class"""

    hypothesis2experiment: str = "rdagent.scenarios.qlib.proposal.factor_proposal.QlibFactorHypothesis2Experiment"
    """Hypothesis to experiment class"""

    coder: str = "rdagent.scenarios.qlib.developer.factor_coder.QlibFactorCoSTEER"
    """Coder class"""

    runner: str = "rdagent.scenarios.qlib.developer.factor_runner.QlibFactorRunner"
    """Runner class"""

    summarizer: str = "rdagent.scenarios.qlib.developer.feedback.QlibFactorHypothesisExperiment2Feedback"
    """Summarizer class"""

    evolving_n: int = 10
    """Number of evolutions"""


class FactorFromReportPropSetting(FactorBasePropSetting):
    # 1) override the scen attribute
    scen: str = "rdagent.scenarios.qlib.experiment.factor_from_report_experiment.QlibFactorFromReportScenario"
    """Scenario class for Qlib Factor from Report"""

    # 2) sub task specific:
    report_result_json_file_path: str = "git_ignore_folder/report_list.json"
    """Path to the JSON file listing research reports for factor extraction"""

    max_factors_per_exp: int = 10000
    """Maximum number of factors implemented per experiment"""


FACTOR_PROP_SETTING = FactorBasePropSetting()
FACTOR_FROM_REPORT_PROP_SETTING = FactorFromReportPropSetting()
MODEL_PROP_SETTING = ModelBasePropSetting()