#!/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):
    grobid_client = GrobidClient(host_url=args.grobid_host)
    wayback_client = WaybackClient()
    if args.jobs > 1:
        worker = GrobidWorker(grobid_client, wayback_client, sink=None)
        multi_worker = MultiprocessWrapper(worker, args.sink)
        pusher = JsonLinePusher(multi_worker, args.json_file, batch_size=args.jobs)
    else:
        worker = GrobidWorker(grobid_client, wayback_client, sink=args.sink)
        pusher = JsonLinePusher(worker, args.json_file)
    pusher.run()

def run_extract_cdx(args):
    grobid_client = GrobidClient(host_url=args.grobid_host)
    wayback_client = WaybackClient()
    if args.jobs > 1:
        worker = GrobidWorker(grobid_client, 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 = GrobidWorker(grobid_client, wayback_client, sink=args.sink)
        pusher = CdxLinePusher(
            worker,
            args.cdx_file,
            filter_http_statuses=[200, 226],
            filter_mimetypes=['application/pdf'],
        )
    pusher.run()

def run_extract_zipfile(args):
    grobid_client = GrobidClient(host_url=args.grobid_host)
    if args.jobs > 1:
        print("multi-processing: {}".format(args.jobs), file=sys.stderr)
        worker = GrobidBlobWorker(grobid_client, sink=None)
        multi_worker = MultiprocessWrapper(worker, args.sink, jobs=args.jobs)
        pusher = ZipfilePusher(multi_worker, args.zip_file, batch_size=args.jobs)
    else:
        worker = GrobidBlobWorker(grobid_client, sink=args.sink)
        pusher = ZipfilePusher(worker, args.zip_file)
    pusher.run()

def run_transform(args):
    grobid_client = GrobidClient()
    for line in args.json_file:
        if not line.strip():
            continue
        line = json.loads(line)
        if args.metadata_only:
            out = grobid_client.metadata(line)
        else:
            out = teixml2json(line['tei_xml'])
        if out:
            if 'source' in line:
                out['source'] = line['source']
            print(json.dumps(out))


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('--grobid-host',
        default="http://grobid.qa.fatcat.wiki",
        help="GROBID API host/port")
    subparsers = parser.add_subparsers()

    sub_extract_json = subparsers.add_parser('extract-json',
        help="for each JSON line with CDX info, fetches PDF and does GROBID 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 GROBID 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 GROBID 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_transform = subparsers.add_parser('transform')
    sub_transform.set_defaults(func=run_transform)
    sub_transform.add_argument('--metadata-only',
        action='store_true',
        help="Only pass through bibliographic metadata, not fulltext")
    sub_transform.add_argument('json_file',
        help="convert TEI-XML to JSON. Input is JSON lines with tei_xml field",
        type=argparse.FileType('r'))

    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-{}.grobid-output-pg".format(args.kafka_env)
        print("Running in kafka output mode, publishing to {}\n".format(produce_topic))
        args.sink = KafkaCompressSink(kafka_hosts=args.kafka_hosts,
            produce_topic=produce_topic)

    args.func(args)

if __name__ == '__main__':
    main()