chore: add runtime info (#526)

* add runtime info

* Update rdagent/scenarios/data_science/scen/__init__.py

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

* reformatted by black

---------

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

rdagent/components/coder/data_science/raw_data_loader/__init__.py

@@ -55,6 +55,7 @@ class DataLoaderMultiProcessEvolvingStrategy(MultiProcessEvolvingStrategy):
         # return a workspace with "load_data.py", "spec/load_data.md" inside
         # assign the implemented code to the new workspace.
         competition_info = self.scen.get_scenario_all_desc()
+        runtime_environment = self.scen.get_runtime_environment()
         data_folder_info = self.scen.processed_data_folder_description
         data_loader_task_info = target_task.get_task_information()
 
@@ -88,6 +89,7 @@ class DataLoaderMultiProcessEvolvingStrategy(MultiProcessEvolvingStrategy):
         # TODO: We may move spec into a separated COSTEER task
         if "spec/data_loader.md" not in workspace.file_dict:  # Only generate the spec once
             system_prompt = T(".prompts:spec.system").r(
+                runtime_environment=runtime_environment,
                 task_desc=data_loader_task_info,
                 competition_info=competition_info,
                 folder_spec=data_folder_info,

rdagent/components/coder/data_science/raw_data_loader/prompts.yaml

@@ -6,6 +6,9 @@ spec:
     Currently, you are working on a Kaggle competition project. 
     This project involves analyzing data and building models to beat other competitors, with the code being generated by large language models.
 
+    The runtime environment you are working in includes the following libraries and their respective versions:
+    {{ runtime_environment }}
+
     Your overall task is provided below:
     {{ task_desc }}