adjust logging system (#51)

* remove ruff comment in log.py

* change log framework and fix llm_utils.py's logs

* Some thoughts for logging

* fix SingletonMeta's definition, maintain an instance dict for each class that inherits it

* adjust log codes directory, add some tag for factor implementation logging

* Update rdagent/core/conf.py

* fix factor task app & log

* fix log import

* Streamlet framework

* fix log tag to path logic

* Add todos

* Add example in docstring

* add log tag for llm_utils.py

* Capture lost content

---------

Co-authored-by: Young <afe.young@gmail.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>

rdagent/components/coder/model_coder/CoSTEER/evaluators.py

@@ -16,7 +16,7 @@ from rdagent.core.conf import RD_AGENT_SETTINGS
 from rdagent.core.evaluation import Evaluator
 from rdagent.core.evolving_framework import QueriedKnowledge
 from rdagent.core.experiment import Implementation, Task
-from rdagent.core.log import RDAgentLog
+from rdagent.log import rdagent_logger as logger
 from rdagent.core.prompts import Prompts
 from rdagent.core.utils import multiprocessing_wrapper
 from rdagent.oai.llm_utils import APIBackend
@@ -328,6 +328,6 @@ class ModelCoderMultiEvaluator(Evaluator):
             None if single_feedback is None else single_feedback.final_decision
             for single_feedback in multi_implementation_feedback
         ]
-        RDAgentLog().info(f"Final decisions: {final_decision} True count: {final_decision.count(True)}")
+        logger.info(f"Final decisions: {final_decision} True count: {final_decision.count(True)}")
 
         return multi_implementation_feedback

rdagent/components/coder/model_coder/CoSTEER/evolvable_subjects.py

@@ -4,7 +4,7 @@ from rdagent.components.coder.model_coder.model import (
     ModelTask,
 )
 from rdagent.core.evolving_framework import EvolvableSubjects
-from rdagent.core.log import RDAgentLog
+from rdagent.log import rdagent_logger as logger
 
 
 class ModelEvolvingItem(ModelExperiment, EvolvableSubjects):
@@ -22,7 +22,7 @@ class ModelEvolvingItem(ModelExperiment, EvolvableSubjects):
             sub_gt_implementations,
         ) != len(self.sub_tasks):
             self.sub_gt_implementations = None
-            RDAgentLog().warning(
+            logger.warning(
                 "The length of sub_gt_implementations is not equal to the length of sub_tasks, set sub_gt_implementations to None",
             )
         else:

rdagent/components/coder/model_coder/task_loader.py

@@ -9,13 +9,12 @@ from rdagent.components.document_reader.document_reader import (
     load_and_process_pdfs_by_langchain,
 )
 from rdagent.components.loader.task_loader import ModelTaskLoader
-from rdagent.core.log import RDAgentLog
+from rdagent.log import rdagent_logger as logger
 from rdagent.core.prompts import Prompts
 from rdagent.oai.llm_utils import APIBackend
 
 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.
@@ -62,7 +61,7 @@ def extract_model_from_doc(doc_content: str) -> dict:
             else:
                 break
 
-    RDAgentLog().info(f"已经完成{len(model_dict)}个模型的提取")
+    logger.info(f"已经完成{len(model_dict)}个模型的提取")
 
     return model_dict