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-rwxr-xr-xpython_hadoop/kafka_grobid_hbase.py200
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diff --git a/python_hadoop/kafka_grobid_hbase.py b/python_hadoop/kafka_grobid_hbase.py
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+++ b/python_hadoop/kafka_grobid_hbase.py
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+#!/usr/bin/env python3
+"""
+Kafka worker that consumes GROBID output from Kafka and pushes into HBase.
+
+Based on the ungrobided Hadoop job code.
+
+TODO: binary conversion in 'grobided' topic? shouldn't be, do that here, as well as all TEI extraction/parsing
+
+Requires:
+- requests
+- pykafka
+"""
+
+# XXX: some broken MRO thing going on in here due to python3 object wrangling
+# in `wayback` library. Means we can't run pylint.
+# pylint: skip-file
+
+import sys
+import xml
+import json
+import raven
+import struct
+import requests
+import argparse
+import happybase
+import pykafka
+
+from common import parse_ungrobided_line
+from grobid2json import teixml2json
+
+# Yep, a global. Gets DSN from `SENTRY_DSN` environment variable
+sentry_client = raven.Client()
+
+# Specific poison-pill rows we should skip
+KEY_DENYLIST = (
+ 'sha1:DLCCSMMVTCCIR6LRXHEQLZ4PWO6NG2YT', # "failed to guess ARC header format"
+)
+
+class KafkaGrobidHbaseWorker:
+
+ def __init__(self, kafka_hosts, consume_topic, **kwargs):
+ self.consume_topic = consume_topic
+ self.consumer_group = kwargs.get('consumer_group', 'grobid-hbase-insert2')
+ self.kafka_hosts = kafka_hosts or 'localhost:9092'
+ self.hbase_host = kwargs['hbase_host']
+ self.hbase_table_name = kwargs['hbase_table']
+ self.hb_table = None # connection initialized in run()
+
+ def convert_tei(self, info):
+
+ # Convert TEI XML to JSON
+ try:
+ info['grobid0:tei_json'] = teixml2json(info['grobid0:tei_xml'], encumbered=True)
+ except xml.etree.ElementTree.ParseError:
+ info['grobid0:status'] = dict(status="fail", reason="GROBID 200 XML parse error")
+ return info, info['grobid0:status']
+ except ValueError:
+ info['grobid0:status'] = dict(status="fail", reason="GROBID 200 XML non-TEI content")
+ return info, info['grobid0:status']
+
+ tei_metadata = info['grobid0:tei_json'].copy()
+ for k in ('body', 'annex'):
+ # Remove fulltext (copywritted) content
+ tei_metadata.pop(k, None)
+ info['grobid0:metadata'] = tei_metadata
+ return info, None
+
+ def do_work(self, raw_line):
+ """
+ 1. parse info JSON (with XML inside)
+ 2. do XML -> JSON conversions
+ 3. push to HBase
+
+ Returns: ???
+ """
+
+ # Parse line and filter down
+ info = json.loads(raw_line)
+ key = info['key']
+ if key in KEY_DENYLIST:
+ #self.increment_counter('lines', 'denylist')
+ return None, dict(status='denylist', key=key)
+
+ # Note: this may not get "cleared" correctly
+ sentry_client.extra_context(dict(row_key=key))
+ print("inserting line to HBase: {}".format(key))
+
+ if info.get('grobid0:tei_xml'):
+ # Need to decode 'str' back in to 'bytes' (from JSON serialization)
+ info['grobid0:tei_xml'] = info['grobid0:tei_xml'].encode('utf-8')
+
+ if info.get('grobid0:status') == 200 and info.get('grobid0:tei_xml'):
+ info, status = self.convert_tei(info)
+
+ # Decide what to bother inserting back into HBase
+ # Basically, don't overwrite backfill fields.
+ grobid_status_code = info.get('grobid0:status_code', None)
+ for k in list(info.keys()):
+ if k in ('f:c', 'file:mime', 'file:cdx'):
+ info.pop(k)
+
+ # Convert fields to binary
+ for k in list(info.keys()):
+ if info[k] is None:
+ info.pop(k)
+ # NOTE: we're not actually sending these f:*, file:* keys...
+ elif k in ('f:c', 'file:cdx', 'grobid0:status', 'grobid0:tei_json',
+ 'grobid0:metadata'):
+ assert type(info[k]) == dict
+ info[k] = json.dumps(info[k], sort_keys=True, indent=None)
+ elif k in ('file:size', 'grobid0:status_code'):
+ # encode as int64 in network byte order
+ if info[k] != {} and info[k] != None:
+ info[k] = struct.pack('!q', info[k])
+
+ key = info.pop('key')
+ self.hb_table.put(key, info)
+ #self.increment_counter('lines', 'success')
+
+ return info, dict(status="success",
+ grobid_status_code=grobid_status_code, key=key)
+
+ def run(self):
+
+ # 1. start consumer (in managed/balanced fashion, with consumer group)
+ # 2. for each thingie, do the work; if success publish to kafka; either
+ # way... print? log?
+ # 3. repeat!
+
+ print("Starting grobid-hbase-worker...")
+ try:
+ host = self.hbase_host
+ hb_conn = happybase.Connection(host=host, transport="framed",
+ protocol="compact")
+ except Exception:
+ raise Exception("Couldn't connect to HBase using host: {}".format(host))
+ self.hb_table = hb_conn.table(self.hbase_table_name)
+ print("HBase inserting into {}".format(self.hbase_table_name))
+
+ kafka = pykafka.KafkaClient(hosts=self.kafka_hosts, broker_version="2.0.0")
+ consume_topic = kafka.topics[self.consume_topic]
+
+ sequential_failures = 0
+ consumer = consume_topic.get_balanced_consumer(
+ consumer_group=self.consumer_group,
+ managed=True,
+ auto_commit_enable=True,
+ # needed to avoid MessageSet decode errors
+ fetch_message_max_bytes=4*1024*1024,
+ # LATEST because best to miss processing than waste time re-process
+ auto_offset_reset=pykafka.common.OffsetType.LATEST,
+ compacted_topic=True)
+ print("Kafka consuming {} in group {}".format(
+ self.consume_topic,
+ self.consumer_group))
+
+ for msg in consumer:
+ #print("got a line! ")
+ grobid_output, status = self.do_work(msg.value.decode('utf-8'))
+ if grobid_output:
+ sequential_failures = 0
+ else:
+ sys.stderr.write("Failed to process GROBID extraction output: {}\n".format(status))
+ sequential_failures += 1
+ if sequential_failures > 20:
+ sys.stderr.write("too many failures in a row, bailing out\n")
+ sys.exit(-1)
+
+
+@sentry_client.capture_exceptions
+def main():
+
+ parser = argparse.ArgumentParser()
+ parser.add_argument('--kafka-hosts',
+ default="localhost:9092",
+ help="list of Kafka brokers (host/port) to use")
+ parser.add_argument('--kafka-env',
+ default="qa",
+ help="eg, 'qa' or 'prod'")
+ parser.add_argument('--consume-topic',
+ default=None,
+ help="Kafka topic to consume from")
+ parser.add_argument('--hbase-table',
+ type=str,
+ default='wbgrp-journal-extract-0-qa',
+ help='HBase table to backfill into (must exist)')
+ parser.add_argument('--hbase-host',
+ type=str,
+ default='localhost',
+ help='HBase thrift API host to connect to')
+ args = parser.parse_args()
+
+ if args.consume_topic is None:
+ args.consume_topic = "sandcrawler-{}.grobid-output".format(args.kafka_env)
+
+ worker = KafkaGrobidHbaseWorker(**args.__dict__)
+ worker.run()
+
+if __name__ == '__main__': # pragma: no cover
+ main()