
Allow custom templated vars. Custom templated vars are similiar to interval templated vars in that they have "options" however they can be multi-selected vs just a singular selection as with an interval var. Change-Id: Ic89c5d192f87890da950a9d2d5f9bc4a96a3e174
114 lines
4.4 KiB
Python
114 lines
4.4 KiB
Python
# Copyright 2015 IBM Corp.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import voluptuous as v
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from grafana_dashboards.schema.template.base import AUTO_INTERVAL
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from grafana_dashboards.schema.template.base import Base
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class Interval(Base):
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current = {
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v.Required('text'): v.All(str, v.Length(min=1)),
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v.Required('value'): v.All(str, v.Length(min=1)),
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}
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def validate_options(self, options):
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options = self._validate_options(options)
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if len(options):
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selected_options = [x for x in options if x.get('selected')]
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# If the user did not specify any selected options, mark
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# the first one as selected.
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if len(selected_options) == 0:
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options[0]['selected'] = True
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elif len(selected_options) > 1:
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raise v.Invalid("No more than one option must be selected")
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return options
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def _validate(self, data):
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# This method performs some validation but also coerces some
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# values as needed to be friendlier.
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interval = {
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v.Required('allFormat', default='glob'): v.Any('glob'),
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# This will be automatically supplied based on the options:
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v.Required('auto'): v.Any(bool),
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v.Required('auto_count', default=10): v.Any(int),
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# This will be automatically supplied based on the options:
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v.Required('current'): v.Any(self.current),
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# NOTE(jeblair): I don't know what datasource means in this context
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v.Required('datasource', default=None): v.All(None),
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v.Required('hideLabel', default=False): v.Any(bool),
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v.Required('includeAll', default=False): v.All(bool),
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v.Required('label', default=''): v.Any(str),
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v.Required('multi', default=False): v.All(bool),
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v.Required('multiFormat', default='glob'): v.Any('glob'),
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v.Required('options', default=[]): self.validate_options,
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# This will be automatically supplied based on the options:
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v.Required('query'): v.Any(str),
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# NOTE(jeblair): I don't know what refresh means in this context
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v.Required('refresh', default=False): v.All(bool),
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}
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interval.update(self.base)
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# Make sure we have the minimum we need before we start
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# messing with the data.
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rudimentary_interval_schema = {
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v.Required('options', default=[]): self.validate_options,
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}
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data = v.Schema(rudimentary_interval_schema, extra=True)(data)
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# There are some values that would be annoying to be required
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# to be included by the user because they are calculable from
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# other values, and ought to be identical. Therefore, if they
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# are not supplied, we will calculate them for the user.
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auto = False
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selected = None
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options = data.get('options', [])
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query = []
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for option in options:
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if option['value'] == AUTO_INTERVAL:
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auto = True
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else:
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query.append(option['value'])
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if option.get('selected'):
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selected = option
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query = ','.join(query)
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# If 'auto' is not supplied, set it based on the presense of
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# an 'auto' option in the options list.
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if 'auto' not in data:
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data['auto'] = auto
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# If 'current' is not supplied, set it based on which of the
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# options was marked 'selected'.
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if 'current' not in data:
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if selected:
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data['current'] = dict(text=selected['text'],
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value=selected['value'])
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else:
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data['current'] = dict()
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# If 'query' is not supplied, compose it from the list of options.
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if 'query' not in data:
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data['query'] = query
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data = v.Schema(interval)(data)
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return data
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def get_schema(self):
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return v.Schema(self._validate)
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