blob: 536266dad77c9c4d852f3e81bca9161243801d88 [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import ast
import os
from kafka import KafkaProducer
from skywalking import config
from skywalking.client import MeterReportService, ServiceManagementClient, TraceSegmentReportService, LogDataReportService
from skywalking.loggings import logger, logger_debug_enabled
from skywalking.protocol.language_agent.Meter_pb2 import MeterDataCollection
from skywalking.protocol.management.Management_pb2 import InstancePingPkg, InstanceProperties
kafka_configs = {}
def __init_kafka_configs():
kafka_configs['bootstrap_servers'] = config.kafka_bootstrap_servers.split(',')
# process all kafka configs in env
kafka_keys = [key for key in os.environ.keys() if key.startswith('SW_KAFKA_REPORTER_CONFIG_')]
for kafka_key in kafka_keys:
key = kafka_key[25:]
val = os.environ.get(kafka_key)
if val is not None:
if val.isnumeric():
val = int(val)
elif val in ['True', 'False']:
val = ast.literal_eval(val)
else:
continue
# check if the key was already set
if kafka_configs.get(key) is None:
kafka_configs[key] = val
else:
raise KafkaConfigDuplicated(key)
__init_kafka_configs()
class KafkaServiceManagementClient(ServiceManagementClient):
def __init__(self):
super().__init__()
self.instance_properties = self.get_instance_properties_proto()
if logger_debug_enabled:
logger.debug('kafka reporter configs: %s', kafka_configs)
self.producer = KafkaProducer(**kafka_configs)
self.topic_key_register = 'register-'
self.topic = config.kafka_topic_management
self.send_instance_props()
def send_instance_props(self):
instance = InstanceProperties(
service=config.agent_name,
serviceInstance=config.agent_instance_name,
properties=self.instance_properties,
)
key = bytes(self.topic_key_register + instance.serviceInstance, encoding='utf-8')
value = instance.SerializeToString()
self.producer.send(topic=self.topic, key=key, value=value)
def send_heart_beat(self):
self.refresh_instance_props()
if logger_debug_enabled:
logger.debug(
'service heart beats, [%s], [%s]',
config.agent_name,
config.agent_instance_name,
)
instance_ping_pkg = InstancePingPkg(
service=config.agent_name,
serviceInstance=config.agent_instance_name,
)
key = bytes(instance_ping_pkg.serviceInstance, encoding='utf-8')
value = instance_ping_pkg.SerializeToString()
future = self.producer.send(topic=self.topic, key=key, value=value)
res = future.get(timeout=10)
if logger_debug_enabled:
logger.debug('heartbeat response: %s', res)
class KafkaTraceSegmentReportService(TraceSegmentReportService):
def __init__(self):
self.producer = KafkaProducer(**kafka_configs)
self.topic = config.kafka_topic_segment
def report(self, generator):
for segment in generator:
key = bytes(segment.traceSegmentId, encoding='utf-8')
value = segment.SerializeToString()
self.producer.send(topic=self.topic, key=key, value=value)
class KafkaLogDataReportService(LogDataReportService):
def __init__(self):
self.producer = KafkaProducer(**kafka_configs)
self.topic = config.kafka_topic_log
def report(self, generator):
for log_data in generator:
key = bytes(log_data.traceContext.traceSegmentId, encoding='utf-8')
value = log_data.SerializeToString()
self.producer.send(topic=self.topic, key=key, value=value)
class KafkaMeterDataReportService(MeterReportService):
def __init__(self):
self.producer = KafkaProducer(**kafka_configs)
self.topic = config.kafka_topic_meter
def report(self, generator):
collection = MeterDataCollection()
collection.meterData.extend(list(generator))
key = bytes(config.agent_instance_name, encoding='utf-8')
value = collection.SerializeToString()
self.producer.send(topic=self.topic, key=key, value=value)
class KafkaConfigDuplicated(Exception):
def __init__(self, key):
self.key = key