"""Portable launcher for the frozen Setting A smoke/pilot configuration."""
import argparse,os,shlex,subprocess,sys
from pathlib import Path
import yaml

def main():
    p=argparse.ArgumentParser()
    p.add_argument('--root',type=Path,default=Path(__file__).resolve().parents[1])
    p.add_argument('--robometer-repo',type=Path,required=True)
    p.add_argument('--init-checkpoint',type=Path,required=True)
    p.add_argument('--output',type=Path,required=True)
    p.add_argument('--mode',choices=['smoke','pilot'],default='smoke')
    p.add_argument('--num-gpus',type=int,default=4)
    p.add_argument('--port',type=int,default=29543)
    p.add_argument('--dry-run',action='store_true')
    a=p.parse_args();root=a.root.resolve();repo=a.robometer_repo.resolve();output=a.output.resolve()
    if output.is_relative_to(root) or root.is_relative_to(output):
        p.error('--output must be separate from the release directory')
    if a.num_gpus < 1:
        p.error('--num-gpus must be positive')
    assert (repo/'train.py').is_file(),'Pass the Robometer repository, not its parent repository'
    assert (root/'repro/processed/local_RoboFAPE_train/processed_dataset').is_dir()
    checkpoint=a.init_checkpoint.resolve()
    config=next((p for p in (checkpoint/'config.yaml',checkpoint.parent/'config.yaml') if p.is_file()),None)
    if config is None:
        p.error('The initialization checkpoint needs its recorded config.yaml')
    base_model=yaml.safe_load(config.read_text())['model']['base_model_id']
    if base_model.startswith('/') and not Path(base_model).is_dir():
        p.error('The checkpoint config references an unavailable backbone; prepare a portable checkpoint copy first')
    env=dict(os.environ,ROBOMETER_PROCESSED_DATASETS_PATH=str(root/'repro/processed'),
             ROBOFAPE_BASE_MODEL=base_model,ROBOFAPE_INIT_CHECKPOINT=str(checkpoint),
             ROBOFAPE_TRAIN_OUTPUT=str(output),PYTHONPATH=str(repo),WANDB_MODE='disabled')
    steps,save,limit=(10,10,1) if a.mode=='smoke' else (500,50,11)
    cmd=[sys.executable,'-m','accelerate.commands.launch','--config_file',str(repo/'robometer/configs/distributed/fsdp.yaml'),
         '--num_processes',str(a.num_gpus),'--main_process_port',str(a.port),'train.py',
         '--config-path',str(root/'configs'),'--config-name','setting_a_train',
         f'training.exp_name=RoboFAPE_train_fsdp_{a.mode}',f'training.max_steps={steps}',
         f'training.num_gpus={a.num_gpus}','training.overwrite_output_dir=false',
         f'training.save_steps={save}',f'training.save_total_limit={limit}',
         'training.save_only_model='+('false' if a.mode=='smoke' else 'true'),f'logging.save_best.save_every={save}',
         'hydra.run.dir='+str(output/'hydra')]
    print(shlex.join(cmd),flush=True)
    if not a.dry_run:subprocess.run(cmd,cwd=repo,env=env,check=True)

if __name__=='__main__':main()