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fix: first round app folder cleaning (#166)

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* first round app folder cleaning

* fix CI
This commit is contained in:
Xu Yang
2024-08-05 18:11:23 +08:00
committed by GitHub
parent 62ab84e11e
commit 987cfc723e
22 changed files with 43 additions and 335 deletions
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rdagent/components/workflow/conf.py
+1 -1
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@@ -3,7 +3,7 @@ from pydantic_settings import BaseSettings
class BasePropSetting(BaseSettings):
"""
The common part of the config for RD Loop to propose and developement
The common part of the config for RD Loop to propose and development
You can add following config in the subclass to distinguish the environment variables.
.. code-block:: python
rdagent/components/workflow/rd_loop.py
+15 -8
View File
@@ -21,18 +21,25 @@ from rdagent.utils.workflow import LoopBase, LoopMeta
class RDLoop(LoopBase, metaclass=LoopMeta):
def __init__(self, PROP_SETTING: BasePropSetting):
scen: Scenario = import_class(PROP_SETTING.scen)()
with logger.tag("init"):
scen: Scenario = import_class(PROP_SETTING.scen)()
logger.log_object(scen, tag="scenario")
self.hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.hypothesis_gen)(scen)
self.hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.hypothesis_gen)(scen)
logger.log_object(self.hypothesis_gen, tag="hypothesis generator")
self.hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.hypothesis2experiment)()
self.hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.hypothesis2experiment)()
logger.log_object(self.hypothesis2experiment, tag="hypothesis2experiment")
self.coder: Developer = import_class(PROP_SETTING.coder)(scen)
self.runner: Developer = import_class(PROP_SETTING.runner)(scen)
self.coder: Developer = import_class(PROP_SETTING.coder)(scen)
logger.log_object(self.coder, tag="coder")
self.runner: Developer = import_class(PROP_SETTING.runner)(scen)
logger.log_object(self.runner, tag="runner")
self.summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.summarizer)(scen)
self.trace = Trace(scen=scen)
super().__init__()
self.summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.summarizer)(scen)
logger.log_object(self.summarizer, tag="summarizer")
self.trace = Trace(scen=scen)
super().__init__()
def propose(self, prev_out: dict[str, Any]):
with logger.tag("r"): # research