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import json
import time
import requests
from pykafka.common import OffsetType
from fatcat_client import ReleaseEntity, ApiClient
from fatcat_tools import *
from .worker_common import FatcatWorker
class ElasticsearchReleaseWorker(FatcatWorker):
"""
Consumes from release-updates topic and pushes into (presumably local)
elasticsearch.
Uses a consumer group to manage offset.
"""
def __init__(self, kafka_hosts, consume_topic, poll_interval=10.0, offset=None,
elasticsearch_backend="http://localhost:9200", elasticsearch_index="fatcat"):
super().__init__(kafka_hosts=kafka_hosts,
consume_topic=consume_topic)
self.consumer_group = "elasticsearch-updates"
self.elasticsearch_backend = elasticsearch_backend
self.elasticsearch_index = elasticsearch_index
self.entity_type = ReleaseEntity
self.elasticsearch_document_name = "release"
self.transform_func = release_to_elasticsearch
def run(self):
consume_topic = self.kafka.topics[self.consume_topic]
ac = ApiClient()
consumer = consume_topic.get_balanced_consumer(
consumer_group=self.consumer_group,
managed=True,
fetch_message_max_bytes=4000000, # up to ~4MBytes
auto_commit_enable=True,
auto_commit_interval_ms=30000, # 30 seconds
compacted_topic=True,
)
for msg in consumer:
json_str = msg.value.decode('utf-8')
entity = entity_from_json(json_str, self.entity_type, api_client=ac)
#print(entity)
elasticsearch_endpoint = "{}/{}/{}/{}".format(
self.elasticsearch_backend,
self.elasticsearch_index,
self.elasticsearch_document_name,
entity.ident)
print("Updating document: {}".format(elasticsearch_endpoint))
resp = requests.post(elasticsearch_endpoint, json=self.transform_func(entity))
resp.raise_for_status()
#consumer.commit_offsets()
class ElasticsearchContainerWorker(ElasticsearchReleaseWorker):
def __init__(self, kafka_hosts, consume_topic, poll_interval=10.0, offset=None,
elasticsearch_backend="http://localhost:9200", elasticsearch_index="fatcat"):
super().__init__(kafka_hosts=kafka_hosts,
consume_topic=consume_topic,
poll_interval,
offset,
elasticsearch_backend,
elasticsearch_index)
self.entity_type = ContainerEntity
self.elasticsearch_document_name = "container"
self.transform_func = container_to_elasticsearch
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