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Several update on the repo (see desc) (#76)

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* 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
This commit is contained in:
Xu Yang
2024-07-17 15:00:13 +08:00
committed by GitHub
parent eee2b3c56a
commit e0a24fb46f
76 changed files with 804 additions and 702 deletions
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rdagent/components/loader/task_loader.py
+5 -6
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@@ -3,8 +3,8 @@ from pathlib import Path
from typing import Sequence
from rdagent.components.coder.factor_coder.factor import FactorTask
from rdagent.components.coder.model_coder.model import ModelImplementation, ModelTask
from rdagent.core.experiment import ImpLoader, Loader
from rdagent.components.coder.model_coder.model import ModelFBWorkspace, ModelTask
from rdagent.core.experiment import Loader, WsLoader
class FactorTaskLoader(Loader[FactorTask]):
@@ -80,16 +80,15 @@ class ModelTaskLoaderJson(ModelTaskLoader):
return model_impl_task_list
class ModelImpLoader(ImpLoader[ModelTask, ModelImplementation]):
class ModelWsLoader(WsLoader[ModelTask, ModelFBWorkspace]):
def __init__(self, path: Path) -> None:
self.path = Path(path)
def load(self, task: ModelTask) -> ModelImplementation:
def load(self, task: ModelTask) -> ModelFBWorkspace:
assert task.name is not None
mti = ModelImplementation(task)
mti = ModelFBWorkspace(task)
mti.prepare()
with open(self.path / f"{task.name}.py", "r") as f:
code = f.read()
mti.inject_code(**{"model.py": code})
return mti
return mti