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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-svc350.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 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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