Download source/project/rl_posttrain/controlled_api.py from lupele/StatePlay-Reward-2280: direct link, hf CLI and curl.
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https://huggingface.co/datasets/lupele/StatePlay-Reward-2280/resolve/main/source/project/rl_posttrain/controlled_api.py
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hf download hf://datasets/lupele/StatePlay-Reward-2280/source/project/rl_posttrain/controlled_api.py
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curl -L -o controlled_api.py https://huggingface.co/datasets/lupele/StatePlay-Reward-2280/resolve/main/source/project/rl_posttrain/controlled_api.py
1.82 kB
| """One authorized complete real group; credential may be supplied by hidden stdin.""" | |
| import argparse | |
| import json | |
| import os | |
| from pathlib import Path | |
| import sys | |
| from .config import load_config | |
| from .io import run_path,write_json | |
| from .rewards.api_group import APIGroupScorer | |
| def main(): | |
| p=argparse.ArgumentParser();p.add_argument("--config",required=True);p.add_argument("--run-id",required=True);p.add_argument("--group");p.add_argument("--api-group-limit",type=int,default=1);p.add_argument("--credentials-stdin",action="store_true");a=p.parse_args() | |
| if a.api_group_limit!=1:raise ValueError("Initial controlled acceptance is exactly one complete group") | |
| if a.credentials_stdin: | |
| if sys.stdin.isatty(): | |
| import termios | |
| attributes=termios.tcgetattr(0);attributes[3]&=~termios.ECHO;termios.tcsetattr(0,termios.TCSANOW,attributes) | |
| print("Ready for configured credential on hidden stdin",flush=True) | |
| credential=json.loads(sys.stdin.readline()) | |
| os.environ["STATEPLAY_GPT_API_KEY"]=credential["api_key"] | |
| del credential | |
| run=run_path(a.run_id);group=Path(a.group) if a.group else Path(__import__('rl_posttrain.io',fromlist=['read_json']).read_json(run/"reports/world_full_profile.json")["group_path"]) | |
| c=load_config(a.config) | |
| try: | |
| scores=APIGroupScorer(c,run,1).score(group) | |
| write_json(run/"reports/real_api_acceptance.json",{"kind":"real_API_one_complete_group","model":c["reward"]["model"],"group_path":str(group),"images":124,"candidate_count":4,"scores":scores,"quality_evaluation":False,"group_limit":1}) | |
| print(json.dumps({"model":c["reward"]["model"],"scores":scores,"images":124,"group_path":str(group)}),flush=True) | |
| finally:os.environ.pop("STATEPLAY_GPT_API_KEY",None) | |
| if __name__=="__main__":main() | |