[DEFAULT]
#logging, make sure that the user under whom the server runs has permission
#to write to the directory.
log_file=threshold.log
log_dir=/var/log/kiloeyes/
log_level=DEBUG
default_log_levels = kiloeyes=DEBUG

service = threshold_engine
threads = 3

[thresholdengine]
metrics_topic = metrics
alarm_topic = alarms
processor = threshold_processor
check_alarm_interval = 60

[alarmdefinitions]
doc_type = alarmdefinitions
index_strategy = fixed
index_prefix = admin
size = 10000

#query param includes name and dimensions
#GET /v2.0/alarm-definitions?name=CPU percent greater than 10&dimensions=hostname:devstack,os=linux

#the alarm definition name filter
#for example, name = cpu, only start thresh engine with alarm defs who are about cpu
#name =, set no filter
name =

#dimension key/value pairs filter
#for example, dimensions = hostname:devstack,os=linux,
#only start engine with alarm defs whose have the related dimensions
dimensions =

#the time interval to retrieve the latest alarm definitions
check_alarm_def_interval = 120

[kafka_opts]
#The endpoint to the kafka server, you can have multiple servers listed here
#for example:
#uri = 10.100.41.114:9092,10.100.41.115:9092,10.100.41.116:9092

uri = 192.168.1.191:9092

#consumer group name
group = datapoints_group

#how many times to try when error occurs
max_retry = 1

#wait time between tries when kafka goes down
wait_time = 1

#use synchronized or asynchronized connection to kafka
async = False

#send messages in bulk or send messages one by one.
compact = False

#How many partitions this connection should listen messages on, this
#parameter is for reading from kafka. If listens on multiple partitions,
#For example, if the client should listen on partitions 1 and 3, then the
#configuration should look like the following:
#   partitions = 1
#   partitions = 3
#default to listen on partition 0.
partitions = 0

[es_conn]
uri = http://192.168.1.191:9200
time_id = timestamp
drop_data = False