feat: Add runtime measurement for each step and loop in RDLoop. (#281)

* Add runtime measurement for each step and loop in RDLoop.

* refine some codes

* refine the code (#276)

* show variables only when it exists (#277)

* fix: support seed and fix absolute path (#278)

* fix: support seed and fix absolute path

* Absolute path

* lint

* fix: improve_execution_time_in_kaggle_loop (#279)

* improve_execution_time_in_kaggle_loop

* fix CI

* fix CI

* fix CI

* fix: Update runner.py to fix a small bug (#282)

* fix: Update runner.py to fix a small bug

* fix CI

* refine the code

* Update loop.py

* Update rd_loop.py

* Update model_xgb.py

---------

Co-authored-by: XianBW <36835909+XianBW@users.noreply.github.com>
Co-authored-by: you-n-g <you-n-g@users.noreply.github.com>
Co-authored-by: Xu Yang <peteryang@vip.qq.com>

rdagent/components/workflow/rd_loop.py

@@ -3,6 +3,7 @@ Model workflow with session control
 It is from `rdagent/app/qlib_rd_loop/model.py` and try to replace `rdagent/app/qlib_rd_loop/RDAgent.py`
 """
 
+import time
 from typing import Any
 
 from rdagent.components.workflow.conf import BasePropSetting
@@ -16,10 +17,12 @@ from rdagent.core.proposal import (
 from rdagent.core.scenario import Scenario
 from rdagent.core.utils import import_class
 from rdagent.log import rdagent_logger as logger
+from rdagent.log.time import measure_time
 from rdagent.utils.workflow import LoopBase, LoopMeta
 
 
 class RDLoop(LoopBase, metaclass=LoopMeta):
+    @measure_time
     def __init__(self, PROP_SETTING: BasePropSetting):
         with logger.tag("init"):
             scen: Scenario = import_class(PROP_SETTING.scen)()
@@ -41,30 +44,35 @@ class RDLoop(LoopBase, metaclass=LoopMeta):
             self.trace = Trace(scen=scen)
             super().__init__()
 
+    @measure_time
     def propose(self, prev_out: dict[str, Any]):
         with logger.tag("r"):  # research
             hypothesis = self.hypothesis_gen.gen(self.trace)
             logger.log_object(hypothesis, tag="hypothesis generation")
         return hypothesis
 
+    @measure_time
     def exp_gen(self, prev_out: dict[str, Any]):
         with logger.tag("r"):  # research
             exp = self.hypothesis2experiment.convert(prev_out["propose"], self.trace)
             logger.log_object(exp.sub_tasks, tag="experiment generation")
         return exp
 
+    @measure_time
     def coding(self, prev_out: dict[str, Any]):
         with logger.tag("d"):  # develop
             exp = self.coder.develop(prev_out["exp_gen"])
             logger.log_object(exp.sub_workspace_list, tag="coder result")
         return exp
 
+    @measure_time
     def running(self, prev_out: dict[str, Any]):
         with logger.tag("ef"):  # evaluate and feedback
             exp = self.runner.develop(prev_out["coding"])
             logger.log_object(exp, tag="runner result")
         return exp
 
+    @measure_time
     def feedback(self, prev_out: dict[str, Any]):
         feedback = self.summarizer.generate_feedback(prev_out["running"], prev_out["propose"], self.trace)
         with logger.tag("ef"):  # evaluate and feedback