mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-31 17:27:42 +00:00
Xu Yang
d5a6a08210
* 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
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
"""
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TODO: Model Structure RD-Loop
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TODO: move the following code to a new class: Model_RD_Agent
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"""
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# import_from
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from rdagent.app.qlib_rd_loop.conf import PROP_SETTING
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from rdagent.core.developer import Developer
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from rdagent.core.exception import ModelEmptyException
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from rdagent.core.proposal import (
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Hypothesis2Experiment,
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HypothesisExperiment2Feedback,
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HypothesisGen,
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Trace,
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)
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from rdagent.core.scenario import Scenario
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from rdagent.core.utils import import_class
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from rdagent.log import rdagent_logger as logger
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scen: Scenario = import_class(PROP_SETTING.model_scen)()
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hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.model_hypothesis_gen)(scen)
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hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.model_hypothesis2experiment)()
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qlib_model_coder: Developer = import_class(PROP_SETTING.model_coder)(scen)
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qlib_model_runner: Developer = import_class(PROP_SETTING.model_runner)(scen)
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qlib_model_summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.model_summarizer)(scen)
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trace = Trace(scen=scen)
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for _ in range(PROP_SETTING.evolving_n):
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try:
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hypothesis = hypothesis_gen.gen(trace)
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exp = hypothesis2experiment.convert(hypothesis, trace)
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exp = qlib_model_coder.develop(exp)
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exp = qlib_model_runner.develop(exp)
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feedback = qlib_model_summarizer.generateFeedback(exp, hypothesis, trace)
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trace.hist.append((hypothesis, exp, feedback))
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except ModelEmptyException as e:
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logger.warning(e)
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continue
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