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chore: import upstream snapshot with attribution
2026-07-13 13:00:43 +08:00

34 lines
1.1 KiB
Python

"""Question generation package.
The main entry point is :class:`~deeptutor.agents.question.pipeline.QuestionPipeline`.
Lightweight names (``FollowupAgent``, ``QuizTemplate``, ``QuizPair``, etc.)
are resolved lazily so callers that only need one symbol don't eagerly
import the full pipeline + its LLM dependencies.
"""
from importlib import import_module
from typing import Any
__all__ = [
"AgentCoordinator",
"FollowupAgent",
"QuestionPipeline",
"QuizTemplate",
"QuizPair",
"QuizPlan",
"QuizHistoryEntry",
]
def __getattr__(name: str) -> Any:
if name == "AgentCoordinator":
module = import_module("deeptutor.agents.question.coordinator")
return getattr(module, name)
if name == "FollowupAgent":
module = import_module("deeptutor.agents.question.agents.followup_agent")
return getattr(module, name)
if name in {"QuestionPipeline", "QuizTemplate", "QuizPair", "QuizPlan", "QuizHistoryEntry"}:
module = import_module("deeptutor.agents.question.pipeline")
return getattr(module, name)
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")