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import os
import io
import sys
import argparse
from pydantic import BaseModel, validator
from typing import List, Dict, Tuple, Optional, Any, Sequence
from fatcat_openapi_client import ReleaseEntity, FileEntity
import internetarchive
from fatcat_scholar.api_entities import *
from fatcat_scholar.djvu import djvu_extract_leaf_texts
from fatcat_scholar.sandcrawler import SandcrawlerPostgrestClient, SandcrawlerMinioClient
from fatcat_scholar.issue_db import IssueDB, SimIssueRow, SimPubRow
from fatcat_scholar.schema import es_biblio_from_release, es_release_from_release, DocType, IntermediateBundle
from fatcat_scholar.sim_pipeline import truncate_pub_meta, truncate_issue_meta
def parse_pages(raw: str) -> Tuple[Optional[int], Optional[int]]:
first_raw = raw.split("-")[0]
if not first_raw.isdigit():
return (None, None)
first = int(first_raw)
if not "-" in raw:
return (first, first)
last_raw = raw.split('-')[-1]
if not last_raw.isdigit():
return (first, first)
last = int(last_raw)
if last < first:
last_munge = first_raw[0:(len(first_raw)-len(last_raw))] + last_raw
last = int(last_munge)
if last < first:
return (first, first)
return (first, last)
def test_parse_pages():
assert parse_pages("479-89") == (479, 489)
assert parse_pages("466-7") == (466, 467)
assert parse_pages("466-501") == (466, 501)
assert parse_pages("466-401") == (466, 466)
# TODO: or should it be (1, 1)?
assert parse_pages("1") == (1, 1)
# TODO: should we be doing strings instead of ints?
assert parse_pages("iiv") == (None, None)
def fulltext_pref_list(releases: List[ReleaseEntity]) -> List[str]:
"""
Returns a list of release idents in preference order (best first) to
try and find fulltext for.
"""
releases_sorted = sorted(releases, reverse=True, key=lambda r: (
r.release_stage=="updated",
r.release_stage=="published",
r.volume is not None,
r.container_id is not None,
r.ext_ids.pmid is not None,
r.release_stage=="submitted",
r.release_type is not None,
r.release_year,
r.release_date,
r.version,
))
return [r.ident for r in releases_sorted]
class WorkPipeline():
def __init__(self, issue_db: IssueDB, sandcrawler_db_client: SandcrawlerPostgrestClient, sandcrawler_s3_client: SandcrawlerMinioClient, fulltext_cache_dir=None):
self.issue_db: IssueDB = issue_db
self.ia_client = internetarchive.get_session()
self.sandcrawler_db_client = sandcrawler_db_client
self.sandcrawler_s3_client = sandcrawler_s3_client
self.fulltext_cache_dir = fulltext_cache_dir
def fetch_file_grobid(self, fe: FileEntity, release_ident: str) -> Optional[Any]:
"""
tei_xml: str
release_ident: Optional[str]
file_ident: Optional[str]
"""
if not fe.sha1:
return None
if not fe.urls:
return None
grobid_meta = self.sandcrawler_db_client.get_grobid(fe.sha1)
if not grobid_meta or grobid_meta['status'] != 'success':
return None
#print(grobid_meta)
grobid_xml = self.sandcrawler_s3_client.get_blob(
folder="grobid",
sha1hex=fe.sha1,
extension=".tei.xml",
prefix="",
bucket="sandcrawler",
)
#print(grobid_xml)
return dict(
tei_xml=grobid_xml,
release_ident=release_ident,
file_ident=fe.ident,
)
def fetch_file_pdftotext(self, fe: FileEntity, release_ident: str) -> Optional[Any]:
"""
raw_text: str
release_ident: Optional[str]
file_ident: Optional[str]
"""
# HACK: look for local pdftotext output
if self.fulltext_cache_dir:
local_txt_path = f"{self.fulltext_cache_dir}/pdftotext/{fe.sha1[:2]}/{fe.sha1}.txt"
try:
with open(local_txt_path, 'r') as txt_file:
raw_text = txt_file.read()
return dict(
raw_text=raw_text,
release_ident=release_ident,
file_ident=fe.ident,
)
except FileNotFoundError:
pass
return None
def lookup_sim(self, release: ReleaseEntity) -> Optional[SimIssueRow]:
"""
Checks in IssueDB to see if this release is likely to have a copy in a
SIM issue item.
volume
issue
"""
if not (release.container_id and release.volume and release.issue):
return None
sim_pubid = self.issue_db.container2pubid(release.container_id)
if not sim_pubid:
return None
return self.issue_db.lookup_issue(sim_pubid=sim_pubid, volume=release.volume, issue=release.issue)
def fetch_sim(self, issue_db_row: SimIssueRow, issue_db_pub_row: SimPubRow, pages: str, release_ident: str) -> Optional[Any]:
"""
issue_item
pages: str
page_texts: list
page_num
leaf_num
raw_text
release_ident: Optional[str]
pub_item_metadata
issue_item_metadata
"""
first_page, last_page = parse_pages(pages)
if first_page is None:
return None
# fetch full metadata from API
issue_meta = self.ia_client.get_metadata(issue_db_row.issue_item)
pub_meta = self.ia_client.get_metadata(issue_db_pub_row.pub_collection)
leaf_index = dict()
leaf_list = []
assert 'page_numbers' in issue_meta
for entry in issue_meta['page_numbers'].get('pages', []):
page_num = entry['pageNumber']
leaf_index[entry['leafNum']] = page_num
if not (page_num and page_num.isdigit()):
continue
page_num = int(page_num)
if page_num >= first_page and page_num <= last_page:
leaf_list.append(entry['leafNum'])
if not leaf_list:
return None
page_texts: List[Dict[str, Any]] = []
issue_item = self.ia_client.get_item(issue_db_row.issue_item)
issue_item_djvu = issue_item.get_file(issue_db_row.issue_item + "_djvu.xml")
# override 'close()' method so we can still read out contents
djvu_bytes = io.BytesIO()
djvu_bytes.close = lambda: None # type: ignore
assert issue_item_djvu.download(fileobj=djvu_bytes) == True
djvu_bytes.seek(0)
djvu_xml = io.StringIO(djvu_bytes.read().decode("UTF-8"))
del(djvu_bytes)
leaf_dict = djvu_extract_leaf_texts(djvu_xml, only_leaves=leaf_list)
for leaf_num, raw_text in leaf_dict.items():
page_texts.append(dict(page_num=leaf_index.get(leaf_num), leaf_num=leaf_num, raw_text=raw_text))
return dict(
issue_item=issue_db_row.issue_item,
pages=pages,
page_texts=page_texts,
release_ident=release_ident,
pub_item_metadata=truncate_pub_meta(pub_meta),
issue_item_metadata=truncate_issue_meta(issue_meta),
)
def process_release_list(self, releases: List[ReleaseEntity]) -> IntermediateBundle:
"""
1. find best accessible fatcat file
=> fetch GROBID XML if available, else pdftotext if available
=> link to thumbnail if available
2. find best SIM microfilm copy available
"""
pref_idents = fulltext_pref_list(releases)
release_dict = dict([(r.ident, r) for r in releases])
#print(f"pref_idents={pref_idents}", file=sys.stderr)
# find best accessible fatcat file
grobid_fulltext: Optional[Any] = None
pdftotext_fulltext: Optional[Any] = None
for ident in pref_idents:
release = release_dict[ident]
if not release.files:
continue
for fe in release.files:
if not fe.sha1 or fe.mimetype not in (None, "application/pdf"):
continue
grobid_fulltext = self.fetch_file_grobid(fe, ident)
pdftotext_fulltext = self.fetch_file_pdftotext(fe, ident)
if grobid_fulltext or pdftotext_fulltext:
break
if grobid_fulltext or pdftotext_fulltext:
break
# find best accessible SIM metadata and fulltext
sim_fulltext: Optional[Any] = None
sim_issue: Optional[Any] = None
for ident in pref_idents:
release = release_dict[ident]
#print(f"{release.extra}\n{release.pages}", file=sys.stderr)
if not release.pages:
continue
# TODO: in the future, will use release.extra.ia.sim.sim_pubid for lookup
sim_issue = self.lookup_sim(release)
#print(f"release_{release.ident}: sim_issue={sim_issue}", file=sys.stderr)
if not sim_issue:
continue
sim_pub = self.issue_db.lookup_pub(sim_issue.sim_pubid)
if not sim_pub:
continue
# XXX: control flow tweak?
sim_fulltext = self.fetch_sim(sim_issue, sim_pub, release.pages, release.ident)
if sim_fulltext:
break
return IntermediateBundle(
doc_type=DocType.work,
releases=releases,
biblio_release_ident=pref_idents[0],
grobid_fulltext=grobid_fulltext,
pdftotext_fulltext=pdftotext_fulltext,
sim_fulltext=sim_fulltext,
)
def run_releases(self, release_stream: Sequence[str]):
"""
Iterates over the stream of releases, which are expected to be grouped
(sorted) by work_ident.
Collects releases under same work_ident into a batch and processes a
work from that.
TODO: what is the right API here? stream iterator? how should
parallelism work?
"""
batch = []
batch_work_id = None
for line in release_stream:
if not line:
continue
release = entity_from_json(line, ReleaseEntity)
if release.work_id == batch_work_id:
batch.append(release)
continue
if batch:
ib = self.process_release_list(batch)
print(ib.json())
batch_work_id = None
batch = [release,]
batch_work_id = release.work_id
if batch:
ib = self.process_release_list(batch)
print(ib.json())
def main():
"""
Run this command like:
python -m fatcat_scholar.work_pipeline
"""
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
subparsers = parser.add_subparsers()
parser.add_argument("--issue-db-file",
help="sqlite3 database file to open",
default='data/issue_db.sqlite',
type=str)
parser.add_argument("--sandcrawler-db-api",
help="Sandcrawler Postgrest API endpoint",
default='http://aitio.us.archive.org:3030',
type=str)
parser.add_argument("--sandcrawler-s3-api",
help="Sandcrawler S3 (minio/seaweedfs) API endpoint",
default='aitio.us.archive.org:9000',
type=str)
sub = subparsers.add_parser('run_releases',
help="takes expanded release entity JSON, sorted by work_ident")
sub.set_defaults(func='run_releases')
sub.add_argument("json_file",
help="release entities, as JSON-lines",
nargs='?', default=sys.stdin, type=argparse.FileType('r'))
sub.add_argument("--fulltext-cache-dir",
help="path of local directory with pdftotext fulltext (and thumbnails)",
default=None, type=str)
args = parser.parse_args()
if not args.__dict__.get("func"):
print("tell me what to do! (try --help)")
sys.exit(-1)
wp = WorkPipeline(
issue_db=IssueDB(args.issue_db_file),
sandcrawler_db_client=SandcrawlerPostgrestClient(api_url=args.sandcrawler_db_api),
sandcrawler_s3_client=SandcrawlerMinioClient(
host_url=args.sandcrawler_s3_api,
access_key=os.environ.get('MINIO_ACCESS_KEY'),
secret_key=os.environ.get('MINIO_SECRET_KEY'),
),
)
if args.func == 'run_releases':
wp.run_releases(args.json_file)
else:
func = getattr(wp, args.func)
func()
if __name__=="__main__":
main()
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