mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-08-07 20:17:45 +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
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
from pathlib import Path
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import pandas as pd
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from rdagent.core.experiment import FBWorkspace
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from rdagent.log import rdagent_logger as logger
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from rdagent.utils.env import QTDockerEnv
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class QlibFBWorkspace(FBWorkspace):
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def __init__(self, template_folder_path: Path, *args, **kwargs) -> None:
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super().__init__(*args, **kwargs)
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self.inject_code_from_folder(template_folder_path)
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def execute(self, qlib_config_name: str = "conf.yaml", run_env: dict = {}, *args, **kwargs) -> str:
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qtde = QTDockerEnv()
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qtde.prepare()
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# Run the Docker command
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execute_log = qtde.run(
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local_path=str(self.workspace_path),
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entry="rm -r mlruns",
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env=run_env,
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)
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# Run the Qlib backtest
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execute_log = qtde.run(
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local_path=str(self.workspace_path),
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entry=f"qrun {qlib_config_name}",
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env=run_env,
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)
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execute_log = qtde.run(
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local_path=str(self.workspace_path),
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entry="python read_exp_res.py",
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env=run_env,
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)
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csv_path = self.workspace_path / "qlib_res.csv"
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if not csv_path.exists():
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logger.error(f"File {csv_path} does not exist.")
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return None
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return pd.read_csv(csv_path, index_col=0).iloc[:, 0]
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