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authorBryan Newbold <bnewbold@archive.org>2020-06-17 11:13:13 -0700
committerBryan Newbold <bnewbold@archive.org>2020-06-17 11:13:13 -0700
commit886cf7d8c3697fc10aedc450b7df16cae32a9f68 (patch)
tree5442cbd4cfa681d859885ca9ce4a47ead8a6acb8 /python/pdf_tool.py
parentd2fb570038ced65e6890e689e900a0f1aaed917c (diff)
downloadsandcrawler-886cf7d8c3697fc10aedc450b7df16cae32a9f68.tar.gz
sandcrawler-886cf7d8c3697fc10aedc450b7df16cae32a9f68.zip
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+#!/usr/bin/env python3
+
+"""
+These are generally for running one-off tasks from the command line. Output
+might go to stdout, or might go to Kafka topic.
+
+Example of large parallel run, locally:
+
+ cat /srv/sandcrawler/tasks/ungrobided.2019-09-23.json | pv -l | parallel -j30 --pipe ./grobid_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 --grobid-host http://localhost:8070 -j0 extract-json -
+"""
+
+import sys
+import json
+import argparse
+import datetime
+
+from grobid2json import teixml2json
+from sandcrawler import *
+
+
+def run_extract_json(args):
+ wayback_client = WaybackClient()
+ if args.jobs > 1:
+ worker = PdfExtractWorker(wayback_client, sink=None, thumbnail_sink=args.thumbnail_sink)
+ multi_worker = MultiprocessWrapper(worker, args.sink)
+ pusher = JsonLinePusher(multi_worker, args.json_file, batch_size=args.jobs)
+ else:
+ worker = PdfExtractWorker(wayback_client, sink=args.sink, thumbnail_sink=args.thumbnail_sink)
+ pusher = JsonLinePusher(worker, args.json_file)
+ pusher.run()
+
+def run_extract_cdx(args):
+ wayback_client = WaybackClient()
+ if args.jobs > 1:
+ worker = PdfExtractWorker(wayback_client, sink=None)
+ 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 = PdfExtractWorker(wayback_client, sink=args.sink, thumbnail_sink=args.thumbnail_sink)
+ pusher = CdxLinePusher(
+ worker,
+ args.cdx_file,
+ filter_http_statuses=[200, 226],
+ filter_mimetypes=['application/pdf'],
+ )
+ pusher.run()
+
+def run_extract_zipfile(args):
+ if args.jobs > 1:
+ print("multi-processing: {}".format(args.jobs), file=sys.stderr)
+ worker = PdfExtractBlobWorker(sink=None, thumbnail_sink=None)
+ multi_worker = MultiprocessWrapper(worker, args.sink, jobs=args.jobs)
+ pusher = ZipfilePusher(multi_worker, args.zip_file, batch_size=args.jobs)
+ else:
+ worker = PdfExtractBlobWorker(sink=args.sink, thumbnail_sink=None)
+ pusher = ZipfilePusher(worker, args.zip_file)
+ pusher.run()
+
+def run_single(args):
+ worker = PdfExtractBlobWorker(sink=args.sink, thumbnail_sink=None)
+ with open(args.pdf_file, 'rb') as pdf_file:
+ result = worker.process(pdf_file.open())
+ print(json.dumps(result, sort_keys=True))
+
+
+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")
+ subparsers = parser.add_subparsers()
+
+ sub_extract_json = subparsers.add_parser('extract-json',
+ help="for each JSON line with CDX info, fetches PDF and does PDF extraction")
+ sub_extract_json.set_defaults(func=run_extract_json)
+ sub_extract_json.add_argument('json_file',
+ help="JSON file to import from (or '-' for stdin)",
+ type=argparse.FileType('r'))
+
+ sub_extract_cdx = subparsers.add_parser('extract-cdx',
+ help="for each CDX line, fetches PDF and does PDF extraction")
+ sub_extract_cdx.set_defaults(func=run_extract_cdx)
+ sub_extract_cdx.add_argument('cdx_file',
+ help="CDX file to import from (or '-' for stdin)",
+ type=argparse.FileType('r'))
+
+ sub_extract_zipfile = subparsers.add_parser('extract-zipfile',
+ help="opens zipfile, iterates over PDF files inside and does PDF extract for each")
+ sub_extract_zipfile.set_defaults(func=run_extract_zipfile)
+ sub_extract_zipfile.add_argument('zip_file',
+ help="zipfile with PDFs to extract",
+ type=str)
+
+ sub_single = subparsers.add_parser('single',
+ help="opens single PDF and extracts it")
+ sub_single.set_defaults(func=run_single)
+ sub_single.add_argument('pdf_file',
+ help="single PDF to extract",
+ type=str)
+
+ args = parser.parse_args()
+ if not args.__dict__.get("func"):
+ print("tell me what to do!", file=sys.stderr)
+ sys.exit(-1)
+
+ args.text_sink = None
+ args.thumbnail_sink = None
+ if args.kafka_mode:
+ text_topic = "sandcrawler-{}.pdftext".format(args.kafka_env)
+ thumbnail_topic = "sandcrawler-{}.thumbnail-180px-jpeg".format(args.kafka_env)
+ args.sink = KafkaCompressSink(kafka_hosts=args.kafka_hosts,
+ produce_topic=text_topic)
+ args.thumbnail_sink = KafkaCompressSink(kafka_hosts=args.kafka_hosts,
+ produce_topic=thumbnail_topic)
+ print("Running in kafka output mode, publishing to {} and {}\n".format(
+ text_topic, thumbnail_topic), file=sys.stderr)
+
+ args.func(args)
+
+if __name__ == '__main__':
+ main()