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/one_shot/__init__.py

@@ -3,22 +3,19 @@ from pathlib import Path
 
 from jinja2 import Environment, StrictUndefined
 
-from rdagent.components.coder.model_coder.model import (
-    ModelExperiment,
-    ModelImplementation,
-)
+from rdagent.components.coder.model_coder.model import ModelExperiment, ModelFBWorkspace
+from rdagent.core.developer import Developer
 from rdagent.core.prompts import Prompts
-from rdagent.core.task_generator import TaskGenerator
 from rdagent.oai.llm_utils import APIBackend
 
 DIRNAME = Path(__file__).absolute().resolve().parent
 
 
-class ModelCodeWriter(TaskGenerator[ModelExperiment]):
-    def generate(self, exp: ModelExperiment) -> ModelExperiment:
+class ModelCodeWriter(Developer[ModelExperiment]):
+    def develop(self, exp: ModelExperiment) -> ModelExperiment:
         mti_l = []
         for t in exp.sub_tasks:
-            mti = ModelImplementation(t)
+            mti = ModelFBWorkspace(t)
             mti.prepare()
             pr = Prompts(file_path=DIRNAME / "prompt.yaml")
 
@@ -40,5 +37,5 @@ class ModelCodeWriter(TaskGenerator[ModelExperiment]):
             code = match.group(1)
             mti.inject_code(**{"model.py": code})
             mti_l.append(mti)
-        exp.sub_implementations = mti_l
+        exp.sub_workspace_list = mti_l
         return exp