1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
|
#!/usr/bin/env python3
"""
Kafka worker that does GROBID extraction from one queue and into another.
Based on the ungrobided Hadoop job code. Does not talk to HBase at all, just
petabox and GROBID. Will delegate tasks to random GROBID workers.
Lines (tasks) are enqueued using a trivial kafkacat invocation; output is
persisted in Kakfa (in compressed format), and also drained into HBase by a
second worker.
Schema of tasks is the 'ungrobided' TSV output. Schema of output is JSON with
keys:
"key": SHA1 in base32 with prefix, eg, "sha1:DLCCSMMVTCCIR6LRXHEQLZ4PWO6NG2YT"
"grobid0:status_code": HTTP status code (integer)
"grobid0:status": dict/json
"grobid0:tei_xml": xml as a single string
"f:c": dict/json from input
"file:mime": string from input
"file:cdx": dict/json from input
# NOT grobid0:tei_json, grobid0:metadata, or grobid0:quality, which can be
# re-derived from tei_xml
Requires:
- requests
- pykafka
- wayback/GWB libraries
"""
# 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 pykafka
import wayback.exception
from wayback.resource import Resource
from wayback.resource import ArcResource
from wayback.resourcestore import ResourceStore
from gwb.loader import CDXLoaderFactory
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 KafkaGrobidWorker:
def __init__(self, kafka_hosts, consume_topic, produce_topic, **kwargs):
self.consume_topic = consume_topic
self.produce_topic = produce_topic
self.consumer_group = kwargs.get('consumer_group', 'extraction')
self.kafka_hosts = kafka_hosts or 'localhost:9092'
self.grobid_uri = kwargs.get('grobid_uri')
self.warc_uri_prefix = kwargs.get('warc_uri_prefix')
self.mime_filter = ['application/pdf']
self.rstore = None
def grobid_process_fulltext(self, content):
r = requests.post(self.grobid_uri + "/api/processFulltextDocument",
files={'input': content})
return r
def parse_line(self, raw_line):
"""Line should be TSV and have non-null fields:
- key (string) (separated in Kafka case)
- f:c (string, json)
- file:mime (string)
- file:cdx (string, json)
"""
if (raw_line.startswith(' ') or raw_line.startswith('#') or raw_line.startswith('\t')):
return None, dict(status="invalid", reason="line prefix", input=raw_line)
info = parse_ungrobided_line(raw_line)
if info is None:
return None, dict(status="invalid", reason="ungrobided parse")
if info['file:mime'] not in self.mime_filter:
return None, dict(status="skip", reason="mimetype", mimetype=info['file:mime'])
# If warc is not item/file.(w)arc.gz form, skip it
if len(info['file:cdx']['warc'].split('/')) != 2:
return None, dict(status="skip", reason="WARC path not petabox item/file", path=info['file:cdx']['warc'])
return info, None
def fetch_warc_content(self, warc_path, offset, c_size):
warc_uri = self.warc_uri_prefix + warc_path
if not self.rstore:
self.rstore = ResourceStore(loaderfactory=CDXLoaderFactory())
try:
gwb_record = self.rstore.load_resource(warc_uri, offset, c_size)
except wayback.exception.ResourceUnavailable:
return None, dict(status="error",
reason="failed to load file contents from wayback/petabox (ResourceUnavailable)")
except ValueError as ve:
return None, dict(status="error",
reason="failed to load file contents from wayback/petabox (ValueError: {})".format(ve))
except EOFError as eofe:
return None, dict(status="error",
reason="failed to load file contents from wayback/petabox (EOFError: {})".format(eofe))
# Note: could consider a generic "except Exception" here, as we get so
# many petabox errors. Do want jobs to fail loud and clear when the
# whole cluster is down though.
if gwb_record.get_status()[0] != 200:
return None, dict(status="error",
reason="archived HTTP response (WARC) was not 200",
warc_status=gwb_record.get_status()[0])
return gwb_record.open_raw_content().read(), None
def extract(self, info):
# Fetch data from WARCs in petabox
original_content, status = self.fetch_warc_content(
info['file:cdx']['warc'],
info['file:cdx']['offset'],
info['file:cdx']['c_size'])
if status:
return None, status
info['file:size'] = len(original_content)
# Submit to GROBID
try:
grobid_response = self.grobid_process_fulltext(original_content)
except requests.exceptions.ConnectionError:
return None, dict(status="error", reason="connection to GROBID worker")
info['grobid0:status_code'] = grobid_response.status_code
# 4 MByte XML size limit; don't record GROBID status on this path
if len(grobid_response.content) > 4000000:
info['grobid0:status'] = {'status': 'oversize'}
return info, dict(status="oversize", reason="TEI response was too large")
if grobid_response.status_code != 200:
# response.text is .content decoded as utf-8
info['grobid0:status'] = dict(status='error', description=grobid_response.text)
return info, dict(status="error", reason="non-200 GROBID HTTP status",
extra=grobid_response.text)
info['grobid0:status'] = {'status': 'partial'}
info['grobid0:tei_xml'] = grobid_response.content
info['grobid0:status'] = {'status': 'success'}
return info, None
def do_work(self, raw_line):
"""
1. parse filtered line
2. fetch data from wayback
3. submit to GROBID
4. convert GROBID response to JSON (and metadata)
6. determine "quality"
6. produce result to kafka
Returns: (grobid_output, status) (both are None or dict)
If grobid_output is None, error was recovered, status returned.
Otherwise, we were successful; grobid_output should be JSON serialized
and published to kafka.
"""
#self.increment_counter('lines', 'total')
# Parse line and filter down
info, status = self.parse_line(raw_line)
if info is None:
#self.increment_counter('lines', status['status'])
return None, status
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))
# Do the extraction
info, status = self.extract(info)
if info is None:
#self.increment_counter('lines', status['status'])
status['key'] = key
return None, status
extraction_status = status
# Need to encode 'bytes' as 'str' for JSON serialization
if info.get('grobid0:tei_xml'):
info['grobid0:tei_xml'] = info['grobid0:tei_xml'].decode('utf-8')
#self.increment_counter('lines', 'success')
grobid_status_code = info.get('grobid0:status_code', None)
if extraction_status is not None:
return info, dict(status="partial", key=key,
grobid_status_code=grobid_status_code,
reason=extraction_status['reason'])
else:
return info, dict(status="success",
grobid_status_code=grobid_status_code, key=key,
extra=extraction_status)
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!
kafka = pykafka.KafkaClient(hosts=self.kafka_hosts, broker_version="1.0.0")
produce_topic = kafka.topics[self.produce_topic]
consume_topic = kafka.topics[self.consume_topic]
print("starting up...")
sequential_failures = 0
with produce_topic.get_producer(compression=pykafka.common.CompressionType.GZIP, sync=False) as producer:
consumer = consume_topic.get_balanced_consumer(
consumer_group=self.consumer_group,
managed=True,
#fetch_message_max_bytes=100000, # only ~100kbytes at a time
auto_commit_enable=True,
auto_commit_interval_ms=60000, # 60 seconds
compacted_topic=True)
for msg in consumer:
print("got a line! ")
grobid_output, status = self.do_work(msg.value.decode('utf-8'))
if grobid_output:
producer.produce(json.dumps(grobid_output).encode('utf-8'))
sequential_failures = 0
else:
print("failed to extract: {}".format(status))
sequential_failures += 1
if sequential_failures > 20:
print("too many failures in a row, bailing out")
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('--produce-topic',
default=None,
help="Kafka topic to produce to")
parser.add_argument('--grobid-uri',
type=str,
default='http://localhost:8070',
help='URI of GROBID API Server')
parser.add_argument('--warc-uri-prefix',
type=str,
default='https://archive.org/serve/',
help='URI where WARCs can be found')
args = parser.parse_args()
if args.consume_topic is None:
args.consume_topic = "sandcrawler-{}.ungrobided".format(args.kafka_env)
if args.produce_topic is None:
args.produce_topic = "sandcrawler-{}.grobid-output".format(args.kafka_env)
worker = KafkaGrobidWorker(**args.__dict__)
worker.run()
if __name__ == '__main__': # pragma: no cover
main()
|