mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-08-06 03:27:44 +00:00
Xu Yang
f2745c3cc0
* use CoSTEER as component name * rename factorimplementation to avoid confusion * rename modelimplementation * align benchmark and evolving evaluators * add scenario to evaluator init function * rename all factorimplementationknowledge in CoSTEER * remove all scenario related information in component * remove useless code --------- Co-authored-by: xuyang1 <xuyang1@microsoft.com>
46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
from pathlib import Path
|
|
|
|
from rdagent.components.coder.factor_coder.factor import FactorExperiment
|
|
from rdagent.components.coder.factor_coder.utils import get_data_folder_intro
|
|
from rdagent.core.prompts import Prompts
|
|
from rdagent.core.scenario import Scenario
|
|
|
|
prompt_dict = Prompts(file_path=Path(__file__).parent / "prompts.yaml")
|
|
|
|
QlibFactorExperiment = FactorExperiment
|
|
|
|
|
|
class QlibFactorScenario(Scenario):
|
|
@property
|
|
def background(self) -> str:
|
|
return prompt_dict["qlib_factor_background"]
|
|
|
|
@property
|
|
def source_data(self) -> str:
|
|
return get_data_folder_intro()
|
|
|
|
@property
|
|
def output_format(self) -> str:
|
|
return prompt_dict["qlib_factor_output_format"]
|
|
|
|
@property
|
|
def interface(self) -> str:
|
|
return prompt_dict["qlib_factor_interface"]
|
|
|
|
@property
|
|
def simulator(self) -> str:
|
|
return prompt_dict["qlib_factor_simulator"]
|
|
|
|
def get_scenario_all_desc(self) -> str:
|
|
return f"""Background of the scenario:
|
|
{self.background}
|
|
The source data you can use:
|
|
{self.source_data}
|
|
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 factor:
|
|
{self.simulator}
|
|
"""
|