Files
NexQuant/rdagent/core/interactor.py
T
Xu Yang 6e09dc6d69 feat: add user interaction in data science scenario (#1251)
* feat: add interactor classes and user interaction handling for experiments

* update code

* use fragment retry mechanism instead of rerun()

* fix a bug

* integrate user instructions into proposal and coder

* fix CI

* fix CI

* feat: add approval option for user instructions submission

* feat: enhance user instructions handling in Task and DSExperiment classes

* fix CI

* add user instructions into hypothesis rewrite

* add interface to command line

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Co-authored-by: Bowen Xian <xianbowen@outlook.com>
2025-09-18 11:10:12 +08:00

27 lines
788 B
Python

from __future__ import annotations
from abc import ABC, abstractmethod
from trace import Trace
from typing import TYPE_CHECKING, Generic
from rdagent.core.experiment import ASpecificExp
if TYPE_CHECKING:
from rdagent.core.scenario import Scenario
class Interactor(ABC, Generic[ASpecificExp]):
def __init__(self, scen: Scenario) -> None:
self.scen: Scenario = scen
@abstractmethod
def interact(self, exp: ASpecificExp, trace: Trace | None = None) -> ASpecificExp:
"""
Interact with the experiment to get feedback or confirmation.
Responsibilities:
- Present the current state of the experiment.
- Collect input to guide the next steps in the experiment.
- Rewrite the experiment based on feedback.
"""