Files
NexQuant/rdagent/components/runner/__init__.py
T
Xu Yang 768229427d feat: use unified pickle cacher & move llm config into a isolated config (#424)
* simplify RDAgent conf

* add unified cacher(untested)

* fix small bugs

* fix a bug

* fix a small bug in runner

* use hash_key = None to skip cache

* fix CI

* in factor execution, ignore cache when raise exception

* add file locker to avoid mp calling

* fix CI

* use function __module__ name as folder in cache
2024-10-14 17:34:09 +08:00

25 lines
962 B
Python

import pickle
from pathlib import Path
from typing import Any, Tuple
from rdagent.core.developer import Developer
from rdagent.core.experiment import ASpecificExp, Experiment
from rdagent.oai.llm_utils import md5_hash
class CachedRunner(Developer[ASpecificExp]):
def get_cache_key(self, exp: Experiment) -> str:
all_tasks = []
for based_exp in exp.based_experiments:
all_tasks.extend(based_exp.sub_tasks)
all_tasks.extend(exp.sub_tasks)
task_info_list = [task.get_task_information() for task in all_tasks]
task_info_str = "\n".join(task_info_list)
return md5_hash(task_info_str)
def assign_cached_result(self, exp: Experiment, cached_res: Experiment) -> Experiment:
if exp.based_experiments and exp.based_experiments[-1].result is None:
exp.based_experiments[-1].result = cached_res.based_experiments[-1].result
exp.result = cached_res.result
return exp