import json
import modal
outputs=modal.Volume.from_name('workspace-agent-training')
image=modal.Image.from_id('im-Wxbm1NY4wOGE5jf3Jorh44')
app=modal.App('workspace-final-checkpoint-probe')
@app.function(image=image,cpu=2,memory=8192,timeout=600,retries=0,volumes={'/outputs':outputs})
def probe():
    import subprocess
    code=r'''
import torch,json,pathlib,inspect
import torch.distributed.checkpoint as dcp
import prime_rl
root=pathlib.Path('/outputs/prime/final-b64-g8-u10-20261030-01')
r={'prime_path':prime_rl.__file__,'checkpoints':{},'sources':{},'heldout_exists':root.with_name(root.name+'-heldout').exists()}
for step in (5,10):
 p=root/'training/checkpoints'/f'step_{step}'
 m=dcp.FileSystemReader(p/'trainer').read_metadata()
 state={'app':{'progress':{'step':0,'total_tokens':0,'total_samples':0}}}
 dcp.load(state,checkpoint_id=p/'trainer')
 saved=torch.load(p/'orchestrator/progress.pt',weights_only=False,map_location='cpu')
 r['checkpoints'][step]={'trainer':state,'orchestrator_keys':list(saved),'progress':vars(saved['progress']),'shards_valid':all((p/'trainer'/v.relative_path).stat().st_size>=v.offset+v.length for v in m.storage_data.values()),'prefixes':sorted(set(k.split('.')[1] for k in m.state_dict_metadata))}
import prime_rl.orchestrator.orchestrator as om
base=pathlib.Path(om.__file__).parent.parent
for p in base.rglob('*.py'):
 t=p.read_text()
 if 'progress.pt' in t or ('save_checkpoint(' in t and 'orchestrator' in str(p)):
  r['sources'][str(p)]=t
a=root/'training/broadcasts/step_10'
from safetensors import safe_open
import hashlib
with safe_open(a/'adapter_model.safetensors',framework='pt',device='cpu') as f:
 r['adapter']={'finished':(a/'.finished').is_file(),'config':json.loads((a/'adapter_config.json').read_text()),'tensors':len(f.keys()),'finite':all(torch.isfinite(f.get_tensor(k)).all().item() for k in f.keys()),'sha256':hashlib.sha256((a/'adapter_model.safetensors').read_bytes()).hexdigest()}
print(json.dumps(r,default=str))
'''
    p=subprocess.run(['/app/.venv/bin/python','-c',code],capture_output=True,text=True,timeout=500)
    return {'exit':p.returncode,'stdout':p.stdout,'stderr':p.stderr}
@app.local_entrypoint()
def main():
    r=probe.remote()
    open('.state/final-checkpoint-probe.json','w').write(json.dumps(r,indent=2))
    print(json.dumps({'exit':r['exit'],'output':'.state/final-checkpoint-probe.json','stderr':r['stderr'][-2000:]}))