import io import sys import sqlite3 import argparse from typing import List, Dict, Optional, Any import requests import internetarchive from fatcat_scholar.djvu import djvu_extract_leaf_texts from fatcat_scholar.issue_db import IssueDB from fatcat_scholar.schema import ( DocType, IntermediateBundle, ) def truncate_pub_meta(full: Dict[str, Any]) -> Dict[str, Any]: """ Takes a complete archive.org metadata dictionary for a publication collection, and simplifies it by removing fields. Motivation is to make intermediate bundle files smaller. """ full.pop("files") if "ulrichs" in full and full["ulrichs"]: full["ulrichs"][0].pop("reviews_mfl") full["ulrichs"][0].pop("editorial_description") # these are interesting, but just too long full["ulrichs"][0].pop("online_availability_full_text") full["ulrichs"][0].pop("abstracting_indexing") full["ulrichs"][0].pop("publisher_and_ordering_details") return full def truncate_issue_meta(full: Dict[str, Any]) -> Dict[str, Any]: """ Same as truncate_pub_meta() but for issue item metadata """ full.pop("files") full.pop("histograms", None) full.pop("rotations", None) return full class SimPipeline: def __init__(self, issue_db: IssueDB): self.issue_db: IssueDB = issue_db self.ia_client = internetarchive.get_session() def fetch_sim_issue(self, issue_item: str, pub_collection: str) -> Optional[Any]: """ issue_item pages: str page_texts: list raw_text page_num leaf_num release_ident: Optional[str] pub_item_metadata issue_item_metadata """ # fetch full metadata from API issue_meta = self.ia_client.get_metadata(issue_item) pub_meta = self.ia_client.get_metadata(pub_collection) leaf_index = dict() leaf_list = [] if not "page_numbers" in issue_meta: # TODO: warn return None 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) leaf_list.append(entry["leafNum"]) if not leaf_list: return None page_texts: List[Dict[str, Any]] = [] issue_item_obj = self.ia_client.get_item(issue_item) issue_item_djvu = issue_item_obj.get_file(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) 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) 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_item, pages=None, page_texts=page_texts, release_ident=None, pub_item_metadata=truncate_pub_meta(pub_meta), issue_item_metadata=truncate_issue_meta(issue_meta), ) def full_issue_to_pages(self, full_issue: dict) -> List[IntermediateBundle]: pages = [] for leaf in full_issue["page_texts"]: bundle = IntermediateBundle( doc_type=DocType.sim_page, releases=[], biblio_release_ident=None, grobid_fulltext=None, pdftotext_fulltext=None, sim_fulltext=dict( issue_item=full_issue["issue_item"], pages=str(leaf["page_num"]), page_texts=[leaf], release_ident=None, pub_item_metadata=full_issue["pub_item_metadata"], issue_item_metadata=full_issue["issue_item_metadata"], ), ) pages.append(bundle) return pages def run_issue_db(self, limit: int = None) -> None: """ Legacy/Deprecated code path Runs DB iteration and fetching in single thread/process """ count = 0 self.issue_db.db.row_factory = sqlite3.Row cur = self.issue_db.db.cursor() for row in cur.execute( "SELECT * FROM sim_issue LEFT JOIN sim_pub ON sim_issue.sim_pubid = sim_pub.sim_pubid WHERE sim_issue.release_count < 3" ): # filter out "contents" and "index" items # TODO: more filters; also redundant with IssueDB code? if row["issue_item"].endswith("_contents") or row["issue_item"].endswith( "_index" ): continue try: full_issue = self.fetch_sim_issue( row["issue_item"], row["pub_collection"] ) except requests.exceptions.ConnectionError as e: print(str(e), file=sys.stderr) continue except requests.exceptions.ReadTimeout as e: print(str(e), file=sys.stderr) continue if not full_issue: continue pages = self.full_issue_to_pages(full_issue) for bundle in pages: print(bundle.json(exclude_none=True, sort_keys=True)) count += 1 if limit is not None and count >= limit: break if limit is not None and count >= limit: break def run_print_issues(self, max_release_count: int = 5) -> None: """ Iterates over issues, printing as TSV to stdout Intended to be used with GNU/parallel for coarse parallelism. """ self.issue_db.db.row_factory = sqlite3.Row cur = self.issue_db.db.cursor() for row in cur.execute( f"SELECT * FROM sim_issue LEFT JOIN sim_pub ON sim_issue.sim_pubid = sim_pub.sim_pubid WHERE sim_issue.release_count < {max_release_count}" ): # filter out "contents" and "index" items # TODO: more filters; also redundant with IssueDB code? if row["issue_item"].endswith("_contents") or row["issue_item"].endswith( "_index" ): continue print(f"{row['issue_item']}\t{row['pub_collection']}") def run_fetch_issue(self, issue_item: str, pub_collection: str) -> None: """ Fetches SIM issue. TODO: more advanced retries? """ try: full_issue = self.fetch_sim_issue(issue_item, pub_collection) except requests.exceptions.ConnectionError as e: print(str(e), file=sys.stderr) return except requests.exceptions.ReadTimeout as e: print(str(e), file=sys.stderr) return if not full_issue: return pages = self.full_issue_to_pages(full_issue) for bundle in pages: print(bundle.json(exclude_none=True, sort_keys=True)) def main() -> None: """ Run this command like: python -m fatcat_scholar.sim_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, ) sub = subparsers.add_parser("run_issue_db", help="iterates through entire IssueDB") sub.set_defaults(func="run_issue_db") sub.add_argument("--limit", help="maximum number of pages to index", type=int) sub = subparsers.add_parser( "run_print_issues", help="dumps issues as simple TSV rows (for parallel processing)", ) sub.set_defaults(func="run_print_issues") sub = subparsers.add_parser( "run_fetch_issue", help="fetches pages for given issue item" ) sub.add_argument("issue_item", type=str) sub.add_argument("pub_collection", type=str) sub.set_defaults(func="run_fetch_issue") args = parser.parse_args() if not args.__dict__.get("func"): parser.print_help(file=sys.stderr) sys.exit(-1) sp = SimPipeline(issue_db=IssueDB(args.issue_db_file)) if args.func == "run_issue_db": sp.run_issue_db(limit=args.limit) elif args.func == "run_print_issues": sp.run_print_issues() elif args.func == "run_fetch_issue": sp.run_fetch_issue( issue_item=args.issue_item, pub_collection=args.pub_collection ) else: func = getattr(sp, args.func) func() if __name__ == "__main__": main()