Files
NexQuant/rdagent/scenarios/general_model/scenario.py
T
Linlang bbcee389b4 chore: implement runtime_env func (#1104)
* implement runtime_env func for quant

* add runtime_info code

* add runtime env information to the prompt

* format with black

* optimize get_runtime_env code

* delete unnecessary files

* some refinement

* fix fin_quant bugs

---------

Co-authored-by: Xu Yang <peteryang@vip.qq.com>
2025-07-28 14:19:41 +08:00

56 lines
1.7 KiB
Python

from copy import deepcopy
from rdagent.core.experiment import Task
from rdagent.core.scenario import Scenario
from rdagent.utils.agent.tpl import T
class GeneralModelScenario(Scenario):
def __init__(self) -> None:
super().__init__()
self._background = deepcopy(T(".prompts:general_model_background").r())
self._output_format = deepcopy(T(".prompts:general_model_output_format").r())
self._interface = deepcopy(T(".prompts:general_model_interface").r())
self._simulator = deepcopy(T(".prompts:general_model_simulator").r())
self._rich_style_description = deepcopy(T(".prompts:general_model_rich_style_description").r())
@property
def background(self) -> str:
return self._background
@property
def source_data(self) -> str:
raise NotImplementedError("source_data of GeneralModelScenario is not implemented")
@property
def output_format(self) -> str:
return self._output_format
@property
def interface(self) -> str:
return self._interface
@property
def simulator(self) -> str:
return self._simulator
@property
def rich_style_description(self) -> str:
return self._rich_style_description
def get_scenario_all_desc(
self, task: Task | None = None, filtered_tag: str | None = None, simple_background: bool | None = None
) -> str:
return f"""Background of the scenario:
{self.background}
The interface you should follow to write the runnable code:
{self.interface}
The output of your code should be in the format:
{self.output_format}
The simulator user can use to test your model:
{self.simulator}
"""
def get_runtime_environment(self):
return None