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e9a61c6 953445e 1b7a7ec 953445e 1b7a7ec 953445e 1b7a7ec e9a61c6 1b7a7ec e9a61c6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 | """One-request stdlib SSH agent. No server, listening socket, or credentials."""
import base64, contextlib, datetime, hashlib, json, os, re, shlex, subprocess, sys, tempfile, urllib.request, uuid
from pathlib import Path
REPO = 'will-taggart/AFFECTOR-ARC'
def atomic(path, obj):
path = Path(path); path.parent.mkdir(parents=True, exist_ok=True)
fd, name = tempfile.mkstemp(dir=path.parent)
try:
with os.fdopen(fd, 'w') as f:
json.dump(obj, f, ensure_ascii=False, allow_nan=False); f.flush(); os.fsync(f.fileno())
os.replace(name, path)
finally:
if os.path.exists(name): os.unlink(name)
def command(args, **kw):
p = subprocess.run(args, capture_output=True, text=True, **kw)
if p.returncode: raise RuntimeError((p.stderr or p.stdout or 'Command failed').strip())
return p.stdout.strip()
def token(value, label):
if not isinstance(value, str) or not re.fullmatch(r'[A-Za-z0-9_.,:+@/-]+', value) or value.startswith('-'):
raise ValueError('Invalid '+label)
return value
def rootpath(value):
if not isinstance(value, str) or not value.strip(): raise ValueError('Choose a remote workspace')
p = Path(value).expanduser()
if not p.is_absolute() or p == Path('/') or len(p.parts)<3: raise ValueError('Use an absolute path or ~/folder for the workspace')
return p.resolve()
def jobdir(root, identity):
uuid.UUID(identity); p=root/'jobs'/identity
if not p.is_dir(): raise ValueError('Job record not found')
return p
def fetch(url):
with urllib.request.urlopen(urllib.request.Request(url,headers={'User-Agent':'AFFECTOR-ARC-Desktop/1.0'}), timeout=120) as r: return r.read()
def current(root):
p=root/'current'
if not p.exists(): raise ValueError('Install/update AFFECTOR-ARC first')
release=p.resolve()
if release.parent != (root/'releases').resolve(): raise ValueError('Unexpected release path')
return release
def envpath(root,release):
digest=hashlib.sha256((release/'setup.sh').read_bytes()).hexdigest()[:16]
return root/'environments'/digest
def scheduler(q, root, kind, payload=None):
release=current(root); env=envpath(root,release)
if kind!='setup' and not (env/'.affector-ready').exists(): raise ValueError('Run GPU setup successfully before submitting a transformation')
identity=str(uuid.uuid4()); d=root/'jobs'/identity; d.mkdir(parents=True)
account=token(q['account'],'allocation'); partition=token(q['partition'],'partition')
wall=q.get('walltime','01:00:00')
if not re.fullmatch(r'(?:\d+-)?\d{1,3}:\d{2}:\d{2}',wall): raise ValueError('Use HH:MM:SS or D-HH:MM:SS for wall time')
cpus=int(q.get('cpus',8)); memory=int(q.get('memory',32))
if not 1<=cpus<=128 or not 1<=memory<=1024: raise ValueError('Invalid CPU or memory request')
cache=rootpath(q.get('cache',str(root/'model-cache')))
lines=['#!/bin/bash','set -euo pipefail','umask 077','module load Miniconda3',f'export HF_HOME={shlex.quote(str(cache))}',f'cd {shlex.quote(str(release))}']
if kind=='setup':
# Reuse a completed environment, but never treat a partial setup as ready.
lines += [f'ENV={shlex.quote(str(env))}', 'mkdir -p "$(dirname "$ENV")"', 'exec 9>"$ENV.lock"', 'flock 9', 'if [ ! -f "$ENV/.affector-ready" ]; then',
'if [ ! -x "$ENV/bin/python" ]; then conda create -y --override-channels -c conda-forge -p "$ENV" python=3.12 pip; fi',
'"$ENV/bin/python" -m pip install torch --index-url https://download.pytorch.org/whl/cu126',
'"$ENV/bin/python" -m pip install "transformers==5.22.2" accelerate huggingface_hub safetensors',
'"$ENV/bin/python" -m unittest discover -s tests',
'"$ENV/bin/python" -m pip freeze > "$ENV/environment-resolved.txt"',
'"$ENV/bin/python" -c \'import torch; assert torch.cuda.is_available(), "CUDA unavailable"; print(torch.__version__, torch.cuda.get_device_name(0))\'',
'touch "$ENV/.affector-ready"', 'fi',
'"$ENV/bin/python" -m unittest discover -s tests',
'"$ENV/bin/python" -c \'import torch; assert torch.cuda.is_available(), "CUDA unavailable"; print(torch.__version__, torch.cuda.get_device_name(0))\'']
else:
text=q.get('text','')
if not isinstance(text,str) or not text.strip(): raise ValueError('Input text is empty')
if len(text.encode())>20_000_000: raise ValueError('Input exceeds 20 MB')
(d/'input.txt').write_text(text,encoding='utf-8')
geometry=q.get('geometry')
if not isinstance(geometry,dict): raise ValueError('Missing shape')
# Validate without importing torch. The pinned source supplies the actual schema.
import importlib.util
spec=importlib.util.spec_from_file_location('arc_geometry',release/'engine/geometry.py'); m=importlib.util.module_from_spec(spec); spec.loader.exec_module(m)
geometry=m.import_atlas(geometry,geometry.get('name','Imported shape')); m.validate(geometry)
atomic(d/'shape.json',geometry)
args=[str(env/'bin/python'),'-u','run_arc.py','--mode',kind,'--text-file',str(d/'input.txt'),'--geometry',str(d/'shape.json'),'--output',str(d/'report.json')]
style=q.get('style','Restrained')
if style not in ['Minimal','Restrained','Balanced','Creative']: raise ValueError('Invalid rewrite style')
args += ['--style',style]
if kind=='rewrite':
for key,lo,hi in [('temperature',0,2),('top_p',0.00001,1),('top_k',0,100000),('max_tokens',32,2048),('time_limit',1,3600),('seed',0,2147483647)]:
val=q.get(key,{'temperature':0,'top_p':.95,'top_k':40,'max_tokens':512,'time_limit':120,'seed':0}[key])
if type(val) not in (float,int) or not lo<=val<=hi: raise ValueError('Invalid '+key)
if key in ['top_k','max_tokens','seed'] and int(val)!=val: raise ValueError(key+' must be an integer')
args += ['--'+key.replace('_','-'),str(val)]
lines += [shlex.join(args)]
script='\n'.join(lines)+'\n'; (d/'job.sh').write_text(script)
jid=command(['sbatch','--parsable','--account='+account,'--partition='+partition,'--nodes=1','--ntasks=1','--cpus-per-task='+str(cpus),'--gres=gpu:1','--mem='+str(memory)+'G','--time='+wall,'--job-name=affector-'+kind,'--output='+str(d/'job.log'),'--error='+str(d/'job.log'),str(d/'job.sh')]).split(';')[0]
if not jid.isdigit(): raise RuntimeError('Unexpected Slurm job ID: '+jid)
record={'id':identity,'job_id':jid,'kind':kind,'created_at':datetime.datetime.now(datetime.timezone.utc).isoformat(),'release':release.name,'directory':str(d),'account':account,'partition':partition}
atomic(d/'job.json',record); return record
def response_text(text):
if not isinstance(text,str):return ''
text=re.sub(r'<think>[\s\S]*?</think>\s*','',text,flags=re.I)
if re.search(r'<think>',text,re.I):return ''
label=r'(?:transformed(?:\s+(?:text|passage|document))?|rewritten(?:\s+(?:text|passage|document))?|rewrite|revised(?:\s+(?:text|passage|document))?|final(?:\s+(?:answer|text))?|attempt|output)'
pattern=r'(?im)^\s*(?:\#{1,6}\s*)?(?:here is (?:the |a )?)?(?:\*\*)?'+label+r'(?:\*\*)?\s*:\s*(?:\*\*)?[^\S\r\n]*'
matches=list(re.finditer(pattern,text))
if matches:
text=text[matches[-1].end():]
suffix=re.search(r'(?im)^\s*(?:\#{1,6}\s*)?(?:\*\*)?(?:original(?:\s+(?:text|target|passage))?|source(?:\s+text)?|prompt|target|instructions?|explanation|notes?)(?:\*\*)?\s*:',text)
if suffix:text=text[:suffix.start()]
elif re.search(r'(?im)^\s*(?:\#{1,6}\s*)?(?:\*\*)?(?:original(?:\s+(?:text|target|passage))?|source\s+text|prompt|target)(?:\*\*)?\s*:',text):return ''
text=text.strip()
if text.startswith('```') and text.endswith('```'):
lines=text.splitlines();text='\n'.join(lines[1:-1]).strip()
if re.match(r"(?is)^(?:the prompt (?:asks|requests|requires|instructs)|this is (?:a |an )?prohibited attempt|i (?:cannot|can't|am unable to) (?:rewrite|comply with|fulfill this request))\b",text):return ''
return text
def transformed_text(report):
records=report.get('records')
if not isinstance(records,dict):return response_text(report.get('text',''))
spans=report.get('spans',[]);source=report.get('input','');parts=[];previous=None
for index in sorted(int(k) for k in records if str(k).isdigit()):
record=records[str(index)];text=record.get('text','')
if record.get('original_retained') or not isinstance(text,str) or not text.strip():continue
if previous is not None:
gap='\n\n'
if index==previous+1 and index<len(spans) and len(spans[previous])==2 and len(spans[index])==2:
a,b=spans[previous][1],spans[index][0]
if 0<=a<=b<=len(source) and not source[a:b].strip():gap=source[a:b]
parts.append(gap)
clean=response_text(text)
if not clean:
if previous is not None:parts.pop()
continue
parts.append(clean);previous=index
return ''.join(parts)
def dispatch(q):
op=q['op']; root=rootpath(q['workspace'])
if op=='probe':
return {'host':command(['hostname']),'home':str(Path.home()),'workspace':str(root),'slurm':command(['sbatch','--version']),'installed':(root/'current').exists(),'revision':current(root).name if (root/'current').exists() else None,'ready':(envpath(root,current(root))/'.affector-ready').exists() if (root/'current').exists() else False}
root.mkdir(parents=True,exist_ok=True)
if op=='update':
meta=json.loads(fetch('https://huggingface.co/api/models/'+REPO));rev=meta['sha']
if not re.fullmatch('[0-9a-f]{40}',rev):raise RuntimeError('Invalid HF revision')
release=root/'releases'/rev
if not (release/'.snapshot-complete').exists():
tree=json.loads(fetch(f'https://huggingface.co/api/models/{REPO}/tree/{rev}?recursive=true&limit=1000'))
selected=[x for x in tree if x['type']=='file' and (x['path'].startswith(('engine/','tests/')) or x['path'] in ['run_arc.py','document_run.py','setup.sh','smoke.sbatch','README.md','README.txt','ATLAS_LICENSE','ENGINE_MANIFEST.json'])]
if not selected or not {'run_arc.py','setup.sh'}.issubset({x['path'] for x in selected}):raise RuntimeError('Incomplete HF snapshot')
release.mkdir(parents=True,exist_ok=True)
for entry in selected:
rel=Path(entry['path'])
if rel.is_absolute() or '..' in rel.parts:raise RuntimeError('Unsafe snapshot path')
dest=release/rel;dest.parent.mkdir(parents=True,exist_ok=True)
data=fetch(f'https://huggingface.co/{REPO}/resolve/{rev}/{rel.as_posix()}')
if data.startswith(b'version https://git-lfs.github.com/spec/'):raise RuntimeError('Unresolved LFS pointer')
dest.write_bytes(data)
(release/'.snapshot-complete').write_text(rev)
temp=root/('current-'+str(uuid.uuid4()));temp.symlink_to(release,target_is_directory=True);os.replace(temp,root/'current')
return {'revision':rev,'path':str(release),'ready':(envpath(root,release)/'.affector-ready').exists()}
if op in ['setup','rewrite','smoke']:return scheduler(q,root,op)
if op=='list':
result=[]
for p in (root/'jobs').glob('*/job.json'):
with contextlib.suppress(Exception):result.append(json.loads(p.read_text()))
return {'jobs':sorted(result,key=lambda x:x['created_at'],reverse=True)}
if op in ['status','cancel','download']:
d=jobdir(root,q['id']);record=json.loads((d/'job.json').read_text());jid=record['job_id']
if not jid.isdigit():raise ValueError('Invalid job ID')
if op=='cancel':command(['scancel',jid]);return {'message':'Cancellation requested','job_id':jid}
if op=='download':
files={}
for name in ['input.txt','shape.json','report.json','report.txt','job.log','job.json','job.sh']:
p=d/name
if p.exists():files[name]=base64.b64encode(p.read_bytes()).decode()
return {'files':files}
try: queued=command(['squeue','-h','-j',jid,'-o','%T|%R'])
except RuntimeError: queued=''
state=queued.split('|',1)[0] if queued else ''
if not state:
try:state=command(['sacct','-n','-X','-j',jid,'--format=State','--parsable2']).splitlines()[0].split('|')[0].strip()
except Exception:state='UNKNOWN'
log=(d/'job.log').read_text(errors='replace')[-100000:] if (d/'job.log').exists() else ''
data={'job':record,'state':state,'queue':queued,'log':log}
p=d/'report.json'
if p.exists():
try:
report=json.loads(p.read_text())
# A lightweight status response; downloads retain the full basis.
data['text']=report.get('text','')
data['transformed_text']=transformed_text(report)
preview=dict(report)
if isinstance(preview.get('geometry'),dict):
preview['geometry']=dict(preview['geometry'],basis='Full calibration weights are in the downloaded report.')
data['report']=preview
except (ValueError,OSError):pass
textfile=d/'report.txt'
if not data.get('text') and textfile.exists():
data['text']=textfile.read_text(errors='replace')
return data
raise ValueError('Unknown operation')
if __name__=='__main__':
try:
q=json.load(sys.stdin);print(json.dumps({'ok':True,'data':dispatch(q)},ensure_ascii=False,allow_nan=False))
except Exception as e:
print(json.dumps({'ok':False,'error':str(e)}));sys.exit(1)
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