91 lines
2.8 KiB
Python
91 lines
2.8 KiB
Python
from charmhelpers.contrib.templating.jinja import render
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from charmhelpers.core.hookenv import (
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network_get,
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unit_private_ip,
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)
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import json
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GRAFANA_DASHBOARD_FILE = 'grafana_dashboard.json.j2'
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def get_ingress_addresses(endpoint_name):
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''' Returns all ingress-addresses belonging to the named endpoint, if
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available. Falls back to private-address if necessary. '''
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try:
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data = network_get(endpoint_name)
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except NotImplementedError:
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return [unit_private_ip()]
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if 'ingress-addresses' in data:
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return data['ingress-addresses']
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else:
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return [unit_private_ip()]
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def get_ingress_address(endpoint_name):
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''' Returns an ingress-address belonging to the named endpoint, if
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available. Falls back to private-address if necessary. '''
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return get_ingress_addresses(endpoint_name)[0]
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def get_bind_address(endpoint_name):
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''' Returns the first bind-address found in network info
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belonging to the named endpoint, if available.
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Falls back to private-address if necessary.
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@param endpoint_name the endpoint from where taking the
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bind address
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'''
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try:
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data = network_get(endpoint_name)
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except NotImplementedError:
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return unit_private_ip()
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# Consider that network-get returns something like:
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#
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# bind-addresses:
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# - macaddress: 02:d0:9e:31:d9:e0
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# interfacename: ens5
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# addresses:
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# - hostname: ""
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# address: 172.31.5.4
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# cidr: 172.31.0.0/20
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# - hostname: ""
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# address: 172.31.5.4
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# cidr: 172.31.0.0/20
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# - macaddress: 8a:32:d7:8d:f6:9a
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# interfacename: fan-252
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# addresses:
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# - hostname: ""
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# address: 252.5.4.1
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# cidr: 252.0.0.0/12
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# egress-subnets:
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# - 172.31.5.4/32
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# ingress-addresses:
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# - 172.31.5.4
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# - 172.31.5.4
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# - 252.5.4.1
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if 'bind-addresses' in data:
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bind_addresses = data['bind-addresses']
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if len(bind_addresses) > 0:
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if 'addresses' in bind_addresses[0]:
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if len(bind_addresses[0]['addresses']) > 0:
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return bind_addresses[0]['addresses'][0]['address']
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return unit_private_ip()
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def render_grafana_dashboard(datasource):
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"""Load grafana dashboard json model and insert prometheus datasource.
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:param datasource: name of the 'prometheus' application that will be used
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as datasource in grafana dashboard
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:return: Grafana dashboard json model as a dict.
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"""
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datasource = "{} - Juju generated source".format(datasource)
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jinja_args = {'variable_start_string': '<<', 'variable_end_string': '>>'}
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return json.loads(render(GRAFANA_DASHBOARD_FILE,
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{'datasource': datasource},
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jinja_env_args=jinja_args))
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