Datasets:
File size: 23,484 Bytes
239e8f8 eed7b36 239e8f8 eed7b36 239e8f8 eed7b36 239e8f8 de9b76d 239e8f8 eed7b36 239e8f8 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 | #!/usr/bin/env python3
"""Leased local-first OpenAlex work queue and reviewed-record publisher."""
from __future__ import annotations
import argparse, csv, datetime as dt, hashlib, json, os, random, re, shutil, tempfile, time, uuid
from pathlib import Path
from urllib.parse import urlsplit
ROOT = Path(__file__).resolve().parents[1]
STATE = 'planning/workqueue_state.json'
CSV = 'planning/openalex_workqueue.csv'
SUMMARY = 'planning/workqueue_summary.json'
FIELDS = ['record_id','work_id','collection','group','title','authors','year','work_type','pages','pdf_url','source_url','identifier','status','checked_at','sha256','verification_note','source_notes']
ACCEPT_TYPES = {'textbook','handbook','scholarly_book','edited_collection','book_chapter','doctoral_thesis','research_thesis','thesis_framing_text','habilitation_thesis','research_report'}
def utcnow(): return dt.datetime.now(dt.timezone.utc)
def stamp(t): return t.astimezone(dt.timezone.utc).isoformat(timespec='seconds').replace('+00:00','Z')
def parse_time(s):
if not s: return None
return dt.datetime.fromisoformat(s.replace('Z','+00:00')).astimezone(dt.timezone.utc)
def read_jsonl(p): return [json.loads(x) for x in Path(p).read_text().splitlines() if x.strip()]
def atomic(path, data):
path=Path(path); path.parent.mkdir(parents=True,exist_ok=True)
fd,tmp=tempfile.mkstemp(prefix='.'+path.name+'.',dir=path.parent)
try:
with os.fdopen(fd,'w',encoding='utf-8',newline='') as f: f.write(data); f.flush(); os.fsync(f.fileno())
os.replace(tmp,path)
finally:
if os.path.exists(tmp): os.unlink(tmp)
def json_dump(x): return json.dumps(x,ensure_ascii=False,indent=2)+'\n'
def load_state(root):
p=root/STATE
if not p.exists(): return {'schema_version':1,'tasks':{}}
s=json.loads(p.read_text())
if s.get('schema_version')!=1 or not isinstance(s.get('tasks'),dict): raise ValueError('Invalid workqueue state')
return s
def jobs(root): return {str(j['subfield_id']):j for j in read_jsonl(root/'planning/subfield_jobs.jsonl')}
def mapping(root):
p=root/'planning/collection_subfield_map.json'
if not p.exists(): return {}
x=json.loads(p.read_text())
return x.get('collections',{})
def refresh(root, state, now=None):
atomic(root/STATE,json_dump(state))
from workqueue_counts import render
render(root,now=now)
def eligible_tasks(root, state, now):
collmap=mapping(root); mixed_medical={str(sid) for name,ent in collmap.items() if name=='medical_sciences' for sid in ent.get('subfield_ids',[])}; rows=[]
queue_counts={}
cp=root/CSV
if cp.exists():
with cp.open(newline='') as f: queue_counts={str(r['subfield_id']):r for r in csv.DictReader(f)}
for sid,j in jobs(root).items():
# The mixed medical collection is intentionally outside this subfield-level queue.
if str(sid) in mixed_medical or j.get('suggested_collection')=='medical_sciences': continue
t=state['tasks'].get(str(sid),{})
expiry=parse_time(t.get('lease_expires_at',''))
if expiry and expiry>now: continue
cool=parse_time(t.get('cooldown_until',''))
if cool and cool>now: continue
row=queue_counts.get(str(sid),{})
if row.get('availability','available')!='available': continue
count=int(row.get('valid_pdf_count',j.get('valid_pdf_count',0)) or 0)
last=t.get('last_search_at','') or row.get('last_search_at','')
rows.append((count,parse_time(last) or dt.datetime.min.replace(tzinfo=dt.timezone.utc),int(sid),sid,j))
return sorted(rows)
def check_lease(state,sid,owner,lease_id,generation,now):
t=state['tasks'].get(str(sid),{})
if t.get('owner')!=owner or t.get('lease_id')!=lease_id or t.get('generation')!=generation or not parse_time(t.get('lease_expires_at','')) or parse_time(t['lease_expires_at'])<=now:
raise ValueError('Lease is stale, expired, or owned by another worker')
return t
def task_state(state,sid):
t=state['tasks'].setdefault(str(sid),{})
defaults={'generation':0,'owner':'','lease_id':'','lease_expires_at':'','last_search_at':'','completed_rounds':0,'last_new_entries':0,'last_new_pdfs':0,'cooldown_until':''}
for k,v in defaults.items(): t.setdefault(k,v)
return t
def do_claim(root, owner, now=None):
now=now or utcnow(); s=load_state(root); choices=eligible_tasks(root,s,now)
if not choices: return {'claimed':False,'reason':'no eligible task'}
*_,sid,j=choices[0]; t=task_state(s,sid)
gen=int(t.get('generation',0))+1; lid=str(uuid.uuid4())
t.update(generation=gen,owner=owner,lease_id=lid,lease_expires_at=stamp(now+dt.timedelta(minutes=30)))
refresh(root,s,now)
return {'claimed':True,'subfield_id':sid,'generation':gen,'owner':owner,'lease_id':lid,'lease_expires_at':t['lease_expires_at'],'job':j}
def do_lease(root,action,sid,owner,lid,generation,now=None):
now=now or utcnow(); s=load_state(root); t=check_lease(s,sid,owner,lid,int(generation),now)
if action=='renew': t['lease_expires_at']=stamp(now+dt.timedelta(minutes=30))
else: t.update(owner='',lease_id='',lease_expires_at='')
refresh(root,s,now); return {'action':action,'subfield_id':str(sid),'lease_expires_at':t.get('lease_expires_at','')}
# Backend remains injectable to permit deterministic fake-CAS testing.
class HFBackend:
def __init__(self, repo, scratch):
from huggingface_hub import HfApi
self.api=HfApi(); self.repo=repo; self.scratch=Path(scratch)
def head(self): return self.api.repo_info(self.repo,repo_type='dataset').sha
def server_now(self):
import requests
r=requests.get('https://huggingface.co/api/datasets/'+self.repo+'?workqueue_nonce='+str(uuid.uuid4()),timeout=20,headers={'Cache-Control':'no-cache','Pragma':'no-cache'}); r.raise_for_status()
value=r.headers.get('Date')
if not value: raise RuntimeError('Hugging Face HTTP Date unavailable')
return dt.datetime.strptime(value,'%a, %d %b %Y %H:%M:%S %Z').replace(tzinfo=dt.timezone.utc)
def snapshot(self,revision,dest,allow_patterns=None):
from huggingface_hub import snapshot_download
snapshot_download(self.repo,repo_type='dataset',revision=revision,local_dir=str(dest),cache_dir=str(self.scratch/'hf-cache'),token=None,allow_patterns=allow_patterns)
shutil.rmtree(Path(dest)/'.cache',ignore_errors=True)
def lease_snapshot(self,revision,dest):
# Lease heartbeats need only counts/state inputs, not every collection export.
self.snapshot(revision,dest,allow_patterns=[
'collections.json','data/verified_links.jsonl',
'planning/subfield_jobs.jsonl','taxonomy/openalex_subfields.csv',
STATE,CSV,SUMMARY,'planning/collection_subfield_map.json',
'planning/*search_progress.jsonl'])
def commit(self, base, files, message):
from huggingface_hub import CommitOperationAdd
ops=[CommitOperationAdd(path_in_repo=k,path_or_fileobj=str(v)) for k,v in sorted(files.items())]
return self.api.create_commit(repo_id=self.repo,repo_type='dataset',operations=ops,commit_message=message,parent_commit=base)
def sensitive(s): return bool(re.search(r'hf_[A-Za-z0-9]{20,}|/e/(?:home|fscratch)/|-----BEGIN .*PRIVATE KEY-----|[?&](?:token|access_token|api_key|x-amz-signature)=',str(s),re.I))
def has_secret(s): return bool(re.search(r'hf_[A-Za-z0-9]{20,}|-----BEGIN .*PRIVATE KEY-----|[?&](?:token|access_token|api_key|x-amz-signature)=',str(s),re.I))
def verify_record(record, proof, scratch):
if set(record)!=set(FIELDS): raise ValueError('Record must contain exactly the 17 SCHEMA fields')
if any(not isinstance(record[k],str) for k in FIELDS if k not in {'year','pages'}): raise ValueError('Public text fields must be strings')
if record['status']!='downloaded_and_screened' or record['work_type'] not in ACCEPT_TYPES: raise ValueError('Only screened books, chapters, theses, and reports can be accepted')
if not record['title'] or not record['pdf_url'] or not record['source_url'] or not record['verification_note'].strip(): raise ValueError('Missing title, public URLs, or editorial verification note')
if record['year'] is not None and (type(record['year']) is not int or not 1000<=record['year']<=9999): raise ValueError('Invalid publication year')
if type(record['pages']) is not int or record['pages']<1: raise ValueError('Invalid PDF page count')
for k in ('pdf_url','source_url'):
u=urlsplit(record[k]);
if u.scheme not in {'http','https'} or not u.netloc or u.username or u.password or sensitive(record[k]): raise ValueError('Unsafe public URL')
sha=record['sha256']
if not re.fullmatch('[0-9a-f]{64}',sha): raise ValueError('Invalid PDF SHA256')
if record.get('work_id')!='sha256:'+sha or not record.get('record_id'): raise ValueError('New record identity must be sha256:<complete PDF hash>')
if any(sensitive(record[k]) for k in FIELDS if isinstance(record.get(k),str)): raise ValueError('Public record contains a private path, token, or secret pattern')
p=proof
if not isinstance(p,dict) or p.get('decision')!='accept' or p.get('complete') is not True or not (p.get('academic_context') is True or isinstance(p.get('academic_context'),str) and p['academic_context'].strip()): raise ValueError('Private proof must affirm academic context, completeness, and a positive decision')
if p.get('public_access') is not True or p.get('source_verified') is not True or not isinstance(p.get('source_check_notes'),str) or not p['source_check_notes'].strip(): raise ValueError('Proof must record public access, source identity, and source-check notes')
if p.get('pdf_url')!=record['pdf_url'] or p.get('source_url')!=record['source_url']: raise ValueError('Proof must bind the screened PDF and source URLs to the public record')
if type(p.get('pages')) is not int or p['pages']!=record['pages']: raise ValueError('Proof page count mismatch')
samples=p.get('reviewed_pages')
if not isinstance(samples,list) or not samples or any(not isinstance(x,dict) for x in samples): raise ValueError('Reviewed first/middle/last page probes required')
if any(type(x.get('page')) is not int or not 1<=x['page']<=record['pages'] for x in samples): raise ValueError('Reviewed page numbers must be valid one-based PDF pages')
nums={x['page'] for x in samples}
required={1,record['pages']//2+1,record['pages']}
if not required.issubset(nums): raise ValueError('Proof must review the one-based first, middle, and last pages')
if any(not isinstance(x.get('notes'),str) or not x['notes'].strip() for x in samples): raise ValueError('Each reviewed page needs actual screening notes')
for k,v in p.items():
if k not in {'local_pdf','sample_file','evidence_file'} and isinstance(v,str) and has_secret(v): raise ValueError('Private evidence contains a credential or secret pattern')
actual=Path(p.get('local_pdf',''))
sr=Path(scratch).resolve(); actual=actual.resolve(strict=True)
if sr not in actual.parents or actual.suffix.lower()!='.pdf': raise ValueError('Proof PDF must be a local PDF under --scratch-dir')
if actual.stat().st_size<8: raise ValueError('Invalid PDF bytes or unsafe path')
with actual.open('rb') as f: header=f.read(1024)
if b'%PDF-' not in header: raise ValueError('Invalid PDF bytes or unsafe path')
h=hashlib.sha256()
with actual.open('rb') as f:
for b in iter(lambda:f.read(1024*1024),b''): h.update(b)
if h.hexdigest()!=sha or p.get('sha256')!=sha: raise ValueError('PDF hash mismatch')
from pypdf import PdfReader
reader=PdfReader(str(actual),strict=False)
if reader.is_encrypted and reader.decrypt('')==0: raise ValueError('Encrypted PDF cannot be screened')
if len(reader.pages)!=record['pages']: raise ValueError('Parsed PDF page count mismatch')
def safe_rel(path):
p=Path(path)
if p.is_absolute() or '..' in p.parts or not p.parts or sensitive(str(path)): raise ValueError('Unsafe repository path')
return p.as_posix()
def cas_conflict(exc):
status=getattr(exc,'status_code',None) or getattr(getattr(exc,'response',None),'status_code',None)
return status in (409,412)
def collection_def(root,j):
coll=j.get('suggested_collection')
if not coll: raise ValueError('Job has no suggested collection for this subfield')
defs=json.loads((root/'collections.json').read_text()); existing=next((x for x in defs if x['collection']==coll),None)
if existing: return existing
group=j.get('suggested_group'); path=safe_rel(j.get('suggested_public_path',''))
# The job supplies the prepared public definition; the mapped mixed medical folder is excluded above.
if not all((coll,group,path)): raise ValueError('Mapped job lacks suggested group or path')
return {'collection':coll,'group':group,'path':safe_rel(path),'display_name':j.get('subfield_name'),'verified_entries':0,'legacy_candidates':0,'openalex_subfield_id':str(j['subfield_id']),'openalex_field_id':str(j['field_id'])}
def publish(root, backend, sid, owner, lid, generation, records, scratch, now_fn=None, attempts=5):
scratch=Path(scratch).resolve()
for r,p in records: verify_record(r,p,scratch)
for attempt in range(attempts):
base=backend.head(); now=backend.server_now()
with tempfile.TemporaryDirectory(prefix='workqueue-snapshot-',dir=scratch) as td:
snap=Path(td)/'repo'; backend.snapshot(base,snap)
before={p.relative_to(snap).as_posix():hashlib.sha256(p.read_bytes()).hexdigest() for p in snap.rglob('*') if p.is_file()}
s=load_state(snap); t=check_lease(s,sid,owner,lid,generation,now)
lease_guard=dict(t)
# Recheck against latest snapshot canonical rows and make all output changes in this isolated tree.
from catalog import read_rows, render as catalog_render, validate
verified=read_rows(snap/'data/verified_links.jsonl'); legacy=read_rows(snap/'data/legacy_candidates.jsonl')
from workqueue_counts import build as build_counts
prior_rows,_=build_counts(snap,now=now)
prior_sid_count=next((int(x['valid_pdf_count']) for x in prior_rows if str(x['subfield_id'])==str(sid)),0)
j=jobs(snap)[str(sid)]; cdef=collection_def(snap,j)
defs=json.loads((snap/'collections.json').read_text())
if not any(c['collection']==cdef['collection'] for c in defs): defs.append(cdef)
keys={(x['collection'],x['sha256']) for x in verified}
added=0
for rec,_ in records:
key=(rec['collection'],rec['sha256'])
if rec['collection']!=cdef['collection']: raise ValueError('Record collection does not match claimed subfield')
if key in keys: continue
verified.append(rec); keys.add(key); added+=1
atomic(snap/'data/verified_links.jsonl',''.join(json.dumps(x,ensure_ascii=False)+'\n' for x in verified))
atomic(snap/'collections.json',json_dump(defs))
# Round closes even with zero accepts. Coverage counters reflect actual accepted deltas.
t['last_search_at']=stamp(now); t['completed_rounds']=int(t.get('completed_rounds',0))+1; t['last_new_entries']=added
t['cooldown_until']=stamp(now+dt.timedelta(hours=24)); t.update(owner='',lease_id='',lease_expires_at='')
atomic(snap/STATE,json_dump(s))
after_rows,_=build_counts(snap,now=now)
after_sid_count=next((int(x['valid_pdf_count']) for x in after_rows if str(x['subfield_id'])==str(sid)),prior_sid_count)
t['last_new_pdfs']=max(0,after_sid_count-prior_sid_count)
atomic(snap/STATE,json_dump(s))
catalog_render(snap)
from workqueue_counts import render as counts_render
counts_render(snap,now=now)
if hasattr(__import__('catalog'),'render_readme_counts'):
__import__('catalog').render_readme_counts(snap)
if not validate(snap): raise ValueError('Catalogue validation failed')
changed={}
allowed={'collections.json','README.md','data/verified_links.jsonl','data/verified_links.csv','data/release_summary.json',STATE,CSV,SUMMARY,cdef['group']+'/README.md'}
folder=cdef['path']
allowed.update({folder+'/'+name for name in ('README.md','links.csv','links.jsonl','legacy_candidates.csv','legacy_candidates.jsonl','legacy_candidates.md')})
for f in snap.rglob('*'):
if not f.is_file() or '.git' in f.parts: continue
rel=f.relative_to(snap).as_posix()
if rel not in allowed: continue
digest=hashlib.sha256(f.read_bytes()).hexdigest()
if before.get(rel)!=digest: changed[rel]=f
# Restrict staged data to exact allowed outputs and commit from this HEAD.
# Lease ownership and expiry are checked again against live server time immediately before CAS.
if parse_time(lease_guard.get('lease_expires_at',''))<=backend.server_now(): raise ValueError('Lease expired before publish commit')
try:
commit_result=backend.commit(base,changed,'Publish reviewed OpenAlex workqueue records')
return {'published':True,'new_entries':added,'round_closed':True,'base_commit':base,'commit':getattr(commit_result,'oid',None) or getattr(commit_result,'commit_id',None)}
except Exception as exc:
if not cas_conflict(exc): raise
if attempt+1==attempts: raise
# fresh-head retry on CAS races only
time.sleep(min(2.0,0.15*(2**attempt))+random.random()*0.2)
raise RuntimeError('CAS retries exhausted')
def main(argv=None):
ap=argparse.ArgumentParser(); ap.add_argument('action',choices=['status','claim','renew','release','publish']); ap.add_argument('--root',type=Path,default=ROOT); ap.add_argument('--repo',default='laion/academic-textbook-links'); ap.add_argument('--owner','--worker-id',dest='owner'); ap.add_argument('--subfield-id'); ap.add_argument('--lease-id'); ap.add_argument('--generation',type=int); ap.add_argument('--proofs',type=Path); ap.add_argument('--scratch-dir',type=Path,required=True); ap.add_argument('--apply',action='store_true'); args=ap.parse_args(argv)
root=args.root.resolve()
scratch=args.scratch_dir.resolve()
if not scratch.is_dir() or scratch==root or root in scratch.parents: ap.error('--scratch-dir must be an existing private directory outside the checkout')
if args.action=='status': print(json.dumps(json.loads((root/SUMMARY).read_text()) if (root/SUMMARY).exists() else {'state':load_state(root)},ensure_ascii=False,indent=2)); return
owner=args.owner or str(uuid.uuid4())
try:
if str(uuid.UUID(owner))!=owner.lower(): raise ValueError()
except (ValueError,AttributeError): ap.error('--owner must be an opaque UUID (or omit it to generate one)')
if args.action=='claim':
if not args.apply:
print(json.dumps({'dry_run':True,'candidate':eligible_tasks(root,load_state(root),utcnow())[0][3] if eligible_tasks(root,load_state(root),utcnow()) else None})); return
result=remote_lease(args.repo,root,'claim',{'owner':owner},scratch=scratch)
if result['claimed']: result['owner']=owner
print(json.dumps(result,ensure_ascii=False)); return
if not all((args.subfield_id,args.owner,args.lease_id,args.generation is not None)): ap.error('lease actions require --subfield-id --owner --lease-id --generation')
if args.action in {'renew','release'}:
if not args.apply: print(json.dumps({'dry_run':True,'action':args.action,'subfield_id':args.subfield_id})); return
print(json.dumps(remote_lease(args.repo,root,args.action,vars(args),scratch=scratch))); return
if not args.scratch_dir or not args.proofs: ap.error('publish requires --scratch-dir and --proofs')
proof_path=args.proofs.resolve()
if scratch not in proof_path.parents: ap.error('--proofs must be stored under --scratch-dir')
items=json.loads(proof_path.read_text()); records=[(x['record'],x['proof']) for x in items]
for record,proof in records: verify_record(record,proof,scratch)
if not args.apply:
print(json.dumps({'dry_run':True,'subfield_id':args.subfield_id,'reviewed_records':len(records),'unique_pdf_hashes':len({r['sha256'] for r,_ in records})})); return
backend=HFBackend(args.repo,scratch); print(json.dumps(publish(root,backend,args.subfield_id,args.owner,args.lease_id,args.generation,records,scratch),ensure_ascii=False))
def remote_lease(repo,root,action,args,attempts=5,backend=None,scratch=None):
if scratch is None: raise ValueError('Scratch directory is required for every network operation')
scratch=Path(scratch).resolve(); backend=backend or HFBackend(repo,scratch)
for attempt in range(attempts):
base=backend.head(); now=backend.server_now()
with tempfile.TemporaryDirectory(prefix='workqueue-lease-',dir=scratch) as td:
snap=Path(td)/'repo'
if hasattr(backend,'lease_snapshot'): backend.lease_snapshot(base,snap)
else: backend.snapshot(base,snap)
before={p.relative_to(snap).as_posix():hashlib.sha256(p.read_bytes()).hexdigest() for p in snap.rglob('*') if p.is_file()}
state=load_state(snap)
if action=='claim':
choices=eligible_tasks(snap,state,now)
if not choices:return {'claimed':False,'reason':'no eligible task'}
*_,sid,job=choices[0]; task=task_state(state,sid)
generation=int(task.get('generation',0))+1; lease_id=str(uuid.uuid4())
task.update(generation=generation,owner=args['owner'],lease_id=lease_id,lease_expires_at=stamp(now+dt.timedelta(minutes=30)))
result={'claimed':True,'subfield_id':sid,'generation':generation,'owner':args['owner'],'lease_id':lease_id,'lease_expires_at':task['lease_expires_at'],'job':job}
else:
task=check_lease(state,args['subfield_id'],args['owner'],args['lease_id'],args['generation'],now)
lease_guard=dict(task)
if action=='renew':task['lease_expires_at']=stamp(now+dt.timedelta(minutes=30))
else:task.update(owner='',lease_id='',lease_expires_at='')
result={'action':action,'subfield_id':str(args['subfield_id']),'lease_expires_at':task.get('lease_expires_at','')}
atomic(snap/STATE,json_dump(state))
from workqueue_counts import render
render(snap,now=now)
changed={p.relative_to(snap).as_posix():p for p in [snap/STATE,snap/CSV,snap/SUMMARY] if p.exists() and before.get(p.relative_to(snap).as_posix())!=hashlib.sha256(p.read_bytes()).hexdigest()}
try:
if action!='claim' and parse_time(lease_guard.get('lease_expires_at',''))<=backend.server_now(): raise ValueError('Lease expired before state commit')
backend.commit(base,changed,'Update OpenAlex workqueue lease')
return result
except Exception as exc:
if not cas_conflict(exc): raise
if attempt+1==attempts:raise
time.sleep(min(2,.15*2**attempt)+random.random()*.2)
raise RuntimeError('CAS retries exhausted')
if __name__=='__main__': main()
|