---
# Copyright 2019, Rackspace US, Inc.
#
# Licensed 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.

# Set the host which will execute the shade modules
# for the skydive openstack service setup. The host must already have
# clouds.yaml properly configured.
skydive_service_setup_host: "{{ openstack_service_setup_host | default(ansible_play_hosts[0]) }}"
skydive_service_setup_host_python_interpreter: "{{ (openstack_service_setup_host is undefined) | ternary('/opt/skydive/bin/python', ansible_python['executable']) }}"

# Set the analyzer port
skydive_analyzer_port: 8082

# Set the agent api port
skydive_agent_port: 8081

# Set the flow protocol
skydive_flow_protocol: udp

# Set a particulare network interface used for skydive traffic
skydive_network_device: "{{ ansible_default_ipv4['interface'] }}"

# The skydive bind address can also be used to set the specific bind address of
# a given node running the skydive analyzer. By default this variable is undefined
# so the bind address is determined using the `skydive_network_device`.
# skydive_bind_address: 10.0.0.2

# The skydive elasticsearch uri(s) is required
# Set the elasticsearch URI(s), the system will attempt to connect to the URI.
# If this URI is unreachable the deployment will fail. If there is more than
# one elasticsearch ingest node or smart loadbancer use comma delimation to
# list multiple nodes.
skydive_elasticsearch_proto: "http"

# The skydive elasticsearch port is set to 9200 which is the default, however, to
# ensure there's no conflict in thee event an elasticsearch installation is on the
# same host as the analyzer, the frontend port will always be 19200. The port binding
# will be to localhost, and via traefik it will be load balanced to the cluster.
skydive_elasticsearch_port: "9200"

# The elastic search servers must be defined, each hostname, or IP address is
# separated by commas.
# skydive_elasticsearch_servers: "server1,server2"

# Setup skydive to use embedded etcd. When set, skydive will run etcd from
# the analyzer nodes.
skydive_etcd_embedded: yes
skydive_etcd_port: 12379
skydive_etcd_listen_uri: "0.0.0.0:{{ skydive_etcd_port }}"
skydive_etcd_scheme: http

# If embedded etcd is disabled the etcd server must be defined.
# skydive_etcd_servers:
#   - http://127.0.0.1:12379
skydive_etcd_servers: []

# If not using the embedded etcd the peers must be defined.
# Hash of peers for etcd clustering between analyzers.
# each entry is composed of the peer name and the endpoints for this peer.
# skydive_etcd_peers:
#   analyzer1: http://172.17.0.2:12380
#   analyzer2: http://172.17.0.3:12380

# The fabric setup will auto detect all intefaces throughout the cluster
# where agents will be installed. A user can define the fabric as needed.
# Review the skydive documentation for more information on setting up
# fabric.
# skydive_fabric:
#   - TOR[Name=tor] -> TOR_PORT1[Name=port1]
#   - TOR1[Name=tor1] -> TOR1_PORT1[Name=port1]
#   - TOR1[Name=tor1] -> [color=red] TOR1_PORT2[Name=port2, MTU=1500]
#   - TOR_PORT1 --> TOR1_PORT1
#   - TOR1_PORT2 --> *[Type=host]/eth0

# Path to the openvswitch db socket on a local system running skydive
skydive_ovs_db_socket: /var/run/openvswitch/db.sock

# Path to the docker socket on a local system running skydive
skydive_docker_socket: /var/run/docker.sock

# Set the skydive collection probes, available options are: ovsdb, docker, neutron, opencontrail, socketinfo, lxd, lldp, runc
skydive_probes:
  - "socketinfo"
  - "lldp"
  - "lxd"

skydive_username: skydive

# The skydive user name is required
# skydive_password: secrete

# The cluster username and password can be defined independently from the normal system user.
skydive_cluster_username: "{{ skydive_username }}"
skydive_cluster_password: "{{ skydive_password }}"

skydive_auth_type: mybasic
skydive_basic_auth_file: /var/lib/skydive/skydive.secret

# Set basic authentication users and passwords into a basic auth file.
# This is optional and will only be created if user defined.
# skydive_basic_auth_users:
#   skydive: secrete
skydive_basic_auth_users: {}

# Skydive openstack setup

## These options are normally undefined, if undefined the value will be pulled from the local clouds.yml.
skydive_openstack_enabled: false
# skydive_os_auth_url: http://localhost:5000/v3
# skydive_os_region_name: RegionOne
# skydive_os_endpoint_type: public

skydive_os_cloud: default
skydive_os_cloud_file: "{{ ansible_env.HOME }}/.config/openstack/clouds.yaml"
skydive_os_domain_name: Default
skydive_os_project_name: "{{ skydive_username }}"
skydive_os_user_name: "{{ skydive_username }}"
skydive_os_user_role: admin
skydive_os_service_user: "{{ skydive_username }}.service"
skydive_os_service_user_role: admin
skydive_os_service_password: "{{ skydive_password }}"
skydive_os_service_insecure: true


# Configuration overrides can be set using a config template.
# `config_template` provides an interface that will inser any
#  option into the compatible configuration file using a deep merge.
skydive_config_overrides: {}