Scaffold

rdagent/app/data_mining/run.py

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+
+
+
+"""
+Task
+"""
+
+# rdagent/app/qlib_rd_loop/factor.py : workflow
+# you can use clas to directly pass the content  to next step
+# rdagent/components/coder/factor_coder/factor.py
+
+
+# TODO: define task
+# TODO: define implementation
+# - example rdagent/components/coder/model_coder/model.py
+#   - use `DockerEnv` to run the folder
+# TODO: Define your environment
+imp = task_gen.gen(task)
+# For implementation:
+# - rdagent/components/coder/model_coder/one_shot/__init__.py
+imp.execute()
+
+# TODO:
+# - Summarize to things that the large language can under stand.
+
+
+
+# - TODO: some steps are not used.

rdagent/scenarios/data_mining/__init__.py

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+
+
+
+from rdagent.core.experiment import FBImplementation
+
+
+class DMImplementation(FBImplementation):
+    # inject code:
+    def prepare(self, *args, **kwargs):
+        # create the folder and input necessary dependencies
+        ...
+
+    def execute(self, *args, **kwargs):
+        # run code & data in the folder