mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-08-03 10:27:42 +00:00
Xu Yang
81 lines
3.0 KiB
Python
81 lines
3.0 KiB
Python
import json
|
|
from pathlib import Path
|
|
from typing import List, Tuple
|
|
|
|
from jinja2 import Environment, StrictUndefined
|
|
|
|
from rdagent.components.coder.factor_coder.factor import FactorExperiment, FactorTask
|
|
from rdagent.components.proposal.factor_proposal import (
|
|
FactorHypothesis,
|
|
FactorHypothesis2Experiment,
|
|
FactorHypothesisGen,
|
|
)
|
|
from rdagent.core.prompts import Prompts
|
|
from rdagent.core.proposal import Hypothesis, Scenario, Trace
|
|
|
|
prompt_dict = Prompts(file_path=Path(__file__).parent / "prompts.yaml")
|
|
|
|
QlibFactorHypothesis = FactorHypothesis
|
|
|
|
|
|
class QlibFactorHypothesisGen(FactorHypothesisGen):
|
|
def __init__(self, scen: Scenario) -> Tuple[dict, bool]:
|
|
super().__init__(scen)
|
|
|
|
def prepare_context(self, trace: Trace) -> Tuple[dict, bool]:
|
|
hypothesis_feedback = (
|
|
Environment(undefined=StrictUndefined)
|
|
.from_string(prompt_dict["hypothesis_and_feedback"])
|
|
.render(trace=trace)
|
|
)
|
|
context_dict = {
|
|
"hypothesis_and_feedback": hypothesis_feedback,
|
|
"RAG": ...,
|
|
"hypothesis_output_format": prompt_dict["hypothesis_output_format"],
|
|
}
|
|
return context_dict, True
|
|
|
|
def convert_response(self, response: str) -> FactorHypothesis:
|
|
response_dict = json.loads(response)
|
|
hypothesis = QlibFactorHypothesis(hypothesis=response_dict["hypothesis"], reason=response_dict["reason"])
|
|
return hypothesis
|
|
|
|
|
|
class QlibFactorHypothesis2Experiment(FactorHypothesis2Experiment):
|
|
def prepare_context(self, hypothesis: Hypothesis, trace: Trace) -> Tuple[dict | bool]:
|
|
scenario = trace.scen.get_scenario_all_desc()
|
|
experiment_output_format = prompt_dict["factor_experiment_output_format"]
|
|
|
|
hypothesis_and_feedback = (
|
|
Environment(undefined=StrictUndefined)
|
|
.from_string(prompt_dict["hypothesis_and_feedback"])
|
|
.render(trace=trace)
|
|
)
|
|
|
|
experiment_list: List[FactorExperiment] = [t[1] for t in trace.hist]
|
|
|
|
factor_list = []
|
|
for experiment in experiment_list:
|
|
factor_list.extend(experiment.sub_tasks)
|
|
|
|
return {
|
|
"target_hypothesis": str(hypothesis),
|
|
"scenario": scenario,
|
|
"hypothesis_and_feedback": hypothesis_and_feedback,
|
|
"experiment_output_format": experiment_output_format,
|
|
"target_list": factor_list,
|
|
"RAG": ...,
|
|
}, True
|
|
|
|
def convert_response(self, response: str, trace: Trace) -> FactorExperiment:
|
|
response_dict = json.loads(response)
|
|
tasks = []
|
|
for factor_name in response_dict:
|
|
description = response_dict[factor_name]["description"]
|
|
formulation = response_dict[factor_name]["formulation"]
|
|
variables = response_dict[factor_name]["variables"]
|
|
tasks.append(FactorTask(factor_name, description, formulation, variables))
|
|
exp = FactorExperiment(tasks)
|
|
exp.based_experiments = [t[1] for t in trace.hist if t[2]]
|
|
return exp
|