mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-28 16:07:46 +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
23 lines
638 B
Python
23 lines
638 B
Python
from __future__ import annotations
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from pathlib import Path
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from dotenv import load_dotenv
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from pydantic_settings import BaseSettings
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# make sure that env variable is loaded while calling Config()
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load_dotenv(verbose=True, override=True)
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from pydantic_settings import BaseSettings
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class RunnerSettings(BaseSettings):
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class Config:
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env_prefix = "RUNNER_" # Use MODEL_CODER_ as prefix for environment variables
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cache_result: bool = True # whether to cache the result of the docker execution
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cache_path: str = str(Path.cwd() / "runner_cache/") # the path to store the cache
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RUNNER_SETTINGS = RunnerSettings()
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