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#!/usr/bin/env python3
"""
Basically just a copy of grobid_tool.py, but for PDF classification instead of
text extraction.
Example of large parallel run, locally:
cat /srv/sandcrawler/tasks/something.cdx | pv -l | parallel -j30 --pipe ./pdftrio_tool.py --kafka-env prod --kafka-hosts wbgrp-svc263.us.archive.org:9092,wbgrp-svc284.us.archive.org:9092,wbgrp-svc285.us.archive.org:9092 --kafka-mode --pdftrio-host http://localhost:3939 -j0 classify-pdf-json -
"""
import argparse
import datetime
import json
import sys
from sandcrawler import *
def run_classify_pdf_json(args):
pdftrio_client = PdfTrioClient(host_url=args.pdftrio_host)
wayback_client = WaybackClient()
if args.jobs > 1:
worker = PdfTrioWorker(pdftrio_client, wayback_client, sink=None, mode=args.pdftrio_mode)
multi_worker = MultiprocessWrapper(worker, args.sink)
pusher = JsonLinePusher(multi_worker, args.json_file, batch_size=args.jobs)
else:
worker = PdfTrioWorker(pdftrio_client, wayback_client, sink=args.sink, mode=args.pdftrio_mode)
pusher = JsonLinePusher(worker, args.json_file)
pusher.run()
def run_classify_pdf_cdx(args):
pdftrio_client = PdfTrioClient(host_url=args.pdftrio_host)
wayback_client = WaybackClient()
if args.jobs > 1:
worker = PdfTrioWorker(pdftrio_client, wayback_client, sink=None, mode=args.pdftrio_mode)
multi_worker = MultiprocessWrapper(worker, args.sink)
pusher = CdxLinePusher(
multi_worker,
args.cdx_file,
filter_http_statuses=[200, 226],
filter_mimetypes=['application/pdf'],
batch_size=args.jobs,
)
else:
worker = PdfTrioWorker(pdftrio_client, wayback_client, sink=args.sink, mode=args.pdftrio_mode)
pusher = CdxLinePusher(
worker,
args.cdx_file,
filter_http_statuses=[200, 226],
filter_mimetypes=['application/pdf'],
)
pusher.run()
def run_classify_pdf_zipfile(args):
pdftrio_client = PdfTrioClient(host_url=args.pdftrio_host)
worker = PdfTrioBlobWorker(pdftrio_client, sink=args.sink, mode=args.pdftrio_mode)
pusher = ZipfilePusher(worker, args.zip_file)
pusher.run()
def main():
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('--kafka-mode',
action='store_true',
help="send output to Kafka (not stdout)")
parser.add_argument('--kafka-hosts',
default="localhost:9092",
help="list of Kafka brokers (host/port) to use")
parser.add_argument('--kafka-env',
default="dev",
help="Kafka topic namespace to use (eg, prod, qa, dev)")
parser.add_argument('-j', '--jobs',
default=8, type=int,
help="parallelism for batch CPU jobs")
parser.add_argument('--pdftrio-host',
default="http://pdftrio.qa.fatcat.wiki",
help="pdftrio API host/port")
parser.add_argument('--pdftrio-mode',
default="auto",
help="which classification mode to use")
subparsers = parser.add_subparsers()
sub_classify_pdf_json = subparsers.add_parser('classify-pdf-json',
help="for each JSON line with CDX info, fetches PDF and does pdftrio classify_pdfion")
sub_classify_pdf_json.set_defaults(func=run_classify_pdf_json)
sub_classify_pdf_json.add_argument('json_file',
help="JSON file to import from (or '-' for stdin)",
type=argparse.FileType('r'))
sub_classify_pdf_cdx = subparsers.add_parser('classify-pdf-cdx',
help="for each CDX line, fetches PDF and does pdftrio classify_pdfion")
sub_classify_pdf_cdx.set_defaults(func=run_classify_pdf_cdx)
sub_classify_pdf_cdx.add_argument('cdx_file',
help="CDX file to import from (or '-' for stdin)",
type=argparse.FileType('r'))
sub_classify_pdf_zipfile = subparsers.add_parser('classify-pdf-zipfile',
help="opens zipfile, iterates over PDF files inside and does pdftrio classify_pdf for each")
sub_classify_pdf_zipfile.set_defaults(func=run_classify_pdf_zipfile)
sub_classify_pdf_zipfile.add_argument('zip_file',
help="zipfile with PDFs to classify",
type=str)
args = parser.parse_args()
if not args.__dict__.get("func"):
parser.print_help(file=sys.stderr)
sys.exit(-1)
args.sink = None
if args.kafka_mode:
produce_topic = "sandcrawler-{}.pdftrio-output".format(args.kafka_env)
print("Running in kafka output mode, publishing to {}\n".format(produce_topic))
args.sink = KafkaSink(kafka_hosts=args.kafka_hosts,
produce_topic=produce_topic)
args.func(args)
if __name__ == '__main__':
main()
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