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import json
import time
from confluent_kafka import Consumer, Producer, KafkaException
from .worker_common import FatcatWorker, most_recent_message
class ChangelogWorker(FatcatWorker):
"""
Periodically polls the fatcat API looking for new changelogs. When they are
found, fetch them and push (as JSON) into a Kafka topic.
"""
def __init__(self, api, kafka_hosts, produce_topic, poll_interval=10.0, offset=None):
# TODO: should be offset=0
super().__init__(kafka_hosts=kafka_hosts,
produce_topic=produce_topic,
api=api)
self.poll_interval = poll_interval
self.offset = offset # the fatcat changelog offset, not the kafka offset
def run(self):
# On start, try to consume the most recent from the topic, and using
# that as the starting offset. Note that this is a single-partition
# topic
if self.offset is None:
print("Checking for most recent changelog offset...")
msg = most_recent_message(self.produce_topic, self.kafka_config)
if msg:
self.offset = json.loads(msg.decode('utf-8'))['index']
else:
self.offset = 0
print("Most recent changelog index in Kafka seems to be {}".format(self.offset))
def fail_fast(err, msg):
if err is not None:
print("Kafka producer delivery error: {}".format(err))
print("Bailing out...")
# TODO: should it be sys.exit(-1)?
raise KafkaException(err)
producer = Producer(self.kafka_config)
while True:
latest = int(self.api.get_changelog(limit=1)[0].index)
if latest > self.offset:
print("Fetching changelogs from {} through {}".format(
self.offset+1, latest))
for i in range(self.offset+1, latest+1):
cle = self.api.get_changelog_entry(i)
obj = self.api.api_client.sanitize_for_serialization(cle)
producer.produce(
self.produce_topic,
json.dumps(obj).encode('utf-8'),
key=str(i),
on_delivery=fail_fast,
#NOTE timestamp could be timestamp=cle.timestamp (?)
)
self.offset = i
producer.poll(0)
print("Sleeping {} seconds...".format(self.poll_interval))
time.sleep(self.poll_interval)
class EntityUpdatesWorker(FatcatWorker):
"""
Consumes from the changelog topic and publishes expanded entities (fetched
from API) to update topics.
For now, only release updates are published.
"""
def __init__(self, api, kafka_hosts, consume_topic, release_topic, file_topic, container_topic, poll_interval=5.0):
super().__init__(kafka_hosts=kafka_hosts,
consume_topic=consume_topic,
api=api)
self.release_topic = release_topic
self.file_topic = file_topic
self.container_topic = container_topic
self.poll_interval = poll_interval
self.consumer_group = "entity-updates"
def run(self):
def fail_fast(err, msg):
if err is not None:
print("Kafka producer delivery error: {}".format(err))
print("Bailing out...")
# TODO: should it be sys.exit(-1)?
raise KafkaException(err)
def on_commit(err, partitions):
if err is not None:
print("Kafka consumer commit error: {}".format(err))
print("Bailing out...")
# TODO: should it be sys.exit(-1)?
raise KafkaException(err)
for p in partitions:
# check for partition-specific commit errors
print(p)
if p.error:
print("Kafka consumer commit error: {}".format(p.error))
print("Bailing out...")
# TODO: should it be sys.exit(-1)?
raise KafkaException(err)
print("Kafka consumer commit successful")
pass
def on_rebalance(consumer, partitions):
for p in partitions:
if p.error:
raise KafkaException(p.error)
print("Kafka partitions rebalanced: {} / {}".format(
consumer, partitions))
consumer_conf = self.kafka_config.copy()
consumer_conf.update({
'group.id': self.consumer_group,
'enable.auto.offset.store': False,
'default.topic.config': {
'auto.offset.reset': 'latest',
},
})
consumer = Consumer(consumer_conf)
producer_conf = self.kafka_config.copy()
producer_conf.update({
'default.topic.config': {
'request.required.acks': -1,
},
})
producer = Producer(producer_conf)
consumer.subscribe([self.consume_topic],
on_assign=on_rebalance,
on_revoke=on_rebalance,
)
print("Kafka consuming {}".format(self.consume_topic))
while True:
msg = consumer.poll(self.poll_interval)
if not msg:
print("nothing new from kafka (interval:{})".format(self.poll_interval))
consumer.commit()
continue
if msg.error():
raise KafkaException(msg.error())
cle = json.loads(msg.value().decode('utf-8'))
#print(cle)
print("processing changelog index {}".format(cle['index']))
release_ids = []
file_ids = []
container_ids = []
work_ids = []
release_edits = cle['editgroup']['edits']['releases']
for re in release_edits:
release_ids.append(re['ident'])
file_edits = cle['editgroup']['edits']['files']
for e in file_edits:
file_ids.append(e['ident'])
container_edits = cle['editgroup']['edits']['containers']
for e in container_edits:
container_ids.append(e['ident'])
work_edits = cle['editgroup']['edits']['works']
for e in work_edits:
work_ids.append(e['ident'])
# TODO: do these fetches in parallel using a thread pool?
for ident in set(file_ids):
file_entity = self.api.get_file(ident, expand=None)
# update release when a file changes
# TODO: fetch old revision as well, and only update
# releases for which list changed
release_ids.extend(file_entity.release_ids or [])
file_dict = self.api.api_client.sanitize_for_serialization(file_entity)
producer.produce(
self.file_topic,
json.dumps(file_dict).encode('utf-8'),
key=ident.encode('utf-8'),
on_delivery=fail_fast,
)
for ident in set(container_ids):
container = self.api.get_container(ident)
container_dict = self.api.api_client.sanitize_for_serialization(container)
producer.produce(
self.container_topic,
json.dumps(container_dict).encode('utf-8'),
key=ident.encode('utf-8'),
on_delivery=fail_fast,
)
for ident in set(release_ids):
release = self.api.get_release(ident, expand="files,filesets,webcaptures,container")
work_ids.append(release.work_id)
release_dict = self.api.api_client.sanitize_for_serialization(release)
producer.produce(
self.release_topic,
json.dumps(release_dict).encode('utf-8'),
key=ident.encode('utf-8'),
on_delivery=fail_fast,
)
# TODO: actually update works
consumer.store_offsets(msg)
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