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/app/factor_extraction_and_code/factor_extract_and_implement.py

@@ -0,0 +1,28 @@
+# %%
+from dotenv import load_dotenv
+
+from rdagent.log import rdagent_logger as logger
+from rdagent.scenarios.qlib.developer.factor_coder import QlibFactorCoSTEER
+from rdagent.scenarios.qlib.experiment.factor_experiment import QlibFactorScenario
+from rdagent.scenarios.qlib.factor_experiment_loader.pdf_loader import (
+    FactorExperimentLoaderFromPDFfiles,
+)
+
+assert load_dotenv()
+
+
+def extract_factors_and_implement(report_file_path: str) -> None:
+    scenario = QlibFactorScenario()
+
+    with logger.tag("extract_factors_and_implement"):
+        with logger.tag("load_factor_tasks"):
+            exp = FactorExperimentLoaderFromPDFfiles().load(report_file_path)
+        with logger.tag("implement_factors"):
+            exp = QlibFactorCoSTEER(scenario).develop(exp)
+
+    # Qlib to run the implementation in rd loop
+    return exp
+
+
+if __name__ == "__main__":
+    extract_factors_and_implement("/home/xuyang1/workspace/report.pdf")