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/factor_coder/config.py

@@ -7,16 +7,17 @@ SELECT_METHOD = Literal["random", "scheduler"]
 
 
 class FactorImplementSettings(BaseSettings):
-    factor_data_folder: str = str(
+    class Config:
+        env_prefix = "FACTOR_CODER_"  # Use FACTOR_CODER_ as prefix for environment variables
+
+    coder_use_cache: bool = False
+    data_folder: str = str(
         (Path().cwd() / "git_ignore_folder" / "factor_implementation_source_data").absolute(),
     )
-    factor_data_folder_debug: str = str(
+    data_folder_debug: str = str(
         (Path().cwd() / "git_ignore_folder" / "factor_implementation_source_data_debug").absolute(),
     )
-    factor_execution_workspace: str = str(
-        (Path().cwd() / "git_ignore_folder" / "factor_implementation_workspace").absolute(),
-    )
-    factor_cache_location: str = str(
+    cache_location: str = str(
         (Path().cwd() / "git_ignore_folder" / "factor_implementation_execution_cache").absolute(),
     )
     enable_execution_cache: bool = True  # whether to enable the execution cache
@@ -35,8 +36,6 @@ class FactorImplementSettings(BaseSettings):
     v2_error_summary: bool = False
     v2_knowledge_sampler: float = 1.0
 
-    evo_multi_proc_n: int = 16  # how many processes to use for evolving (including eval & generation)
-
     file_based_execution_timeout: int = 120  # seconds for each factor implementation execution
 
     select_method: SELECT_METHOD = "random"
@@ -47,5 +46,7 @@ class FactorImplementSettings(BaseSettings):
     knowledge_base_path: Union[str, None] = None
     new_knowledge_base_path: Union[str, None] = None
 
+    python_bin: str = "python"
+
 
 FACTOR_IMPLEMENT_SETTINGS = FactorImplementSettings()