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

* 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

rdagent/components/coder/model_coder/task_loader.py

@@ -9,12 +9,14 @@ from rdagent.components.document_reader.document_reader import (
     load_and_process_pdfs_by_langchain,
 )
 from rdagent.components.loader.task_loader import ModelTaskLoader
-from rdagent.log import rdagent_logger as logger
 from rdagent.core.prompts import Prompts
+from rdagent.log import rdagent_logger as logger
 from rdagent.oai.llm_utils import APIBackend
+from rdagent.scenarios.qlib.experiment.model_experiment import QlibModelExperiment
 
 document_process_prompts = Prompts(file_path=Path(__file__).parent / "prompts.yaml")
 
+
 def extract_model_from_doc(doc_content: str) -> dict:
     """
     Extract model information from document content.
@@ -107,7 +109,7 @@ class ModelExperimentLoaderFromDict(ModelTaskLoader):
                 key=model_name,
             )
             task_l.append(task)
-        return ModelExperiment(sub_tasks=task_l)
+        return QlibModelExperiment(sub_tasks=task_l)
 
 
 class ModelExperimentLoaderFromPDFfiles(ModelTaskLoader):