chore: import upstream snapshot with attribution

rdagent/core/developer.py

@@ -0,0 +1,34 @@
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from typing import TYPE_CHECKING, Generic
+
+from rdagent.core.experiment import ASpecificExp
+
+if TYPE_CHECKING:
+    from rdagent.core.scenario import Scenario
+
+
+class Developer(ABC, Generic[ASpecificExp]):
+    def __init__(self, scen: Scenario) -> None:
+        self.scen: Scenario = scen
+
+    @abstractmethod
+    def develop(self, exp: ASpecificExp) -> ASpecificExp:  # TODO: remove return value
+        """
+        Task Generator should take in an experiment.
+
+        Because the schedule of different tasks is crucial for the final performance
+        due to it affects the learning process.
+
+        Current constraints:
+        - The developer should **inplace** edit the exp instead of returning value;
+            - because we have a lot of use cases to raise errors, but we need the intermediate results in exp.
+        - So we should remove the return value in the future.
+
+        Responsibilities:
+        - Generate a new experiment after developing on it.
+        - If it tries to deliver message for future development, it should set a ExperimentFeedback
+        """
+        error_message = "generate method is not implemented."
+        raise NotImplementedError(error_message)