path: root/fatcat_scholar/work_pipeline.py

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
from fatcat_scholar.es_transform import es_biblio_from_release, es_release_from_release, DocType


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)


class IntermediateBundle(BaseModel):
    doc_type: DocType
    releases: List[ReleaseEntity]
    biblio_release_ident: Optional[str]
    grobid_fulltext: Optional[Any]
    pdftotext_fulltext: Optional[Any]
    sim_fulltext: Optional[Any]

    class Config:
        arbitrary_types_allowed = True
        json_encoders = {
            ReleaseEntity: lambda re: entity_to_dict(re),
        }


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):
        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

    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]
        """
        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, pages: str, release_ident: str) -> Optional[Any]:
        """
        issue_item 
        pages: str
        page_texts: list
            page_number
            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)
        # XXX: pub_meta = self.ia_client.get_metadata(issue_db_row.pub_collection)
        pub_meta = None

        leaf_list = []
        assert 'page_numbers' in issue_meta
        for entry in issue_meta['page_numbers'].get('pages', []):
            page_num = entry['pageNumber']
            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, raw_text in leaf_dict.items():
            page_texts.append(dict(page_number=leaf, 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=pub_meta,
            issue_item_metadata=issue_item.metadata,
        )

    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
            # XXX: control flow tweak?
            sim_fulltext = self.fetch_sim(sim_issue, 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'))

    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()