# Copyright 2015 Red Hat, 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. import voluptuous as v from grafana_dashboards.schema.panel.base import Base class Singlestat(Base): def get_schema(self): # TODO(pabelanger): This is pretty ugly, there much be a better way to # set default values. sparkline_defaults = { 'fillColor': 'rgba(31, 118, 189, 0.18)', 'full': False, 'lineColor': 'rgb(31, 120, 193)', 'show': False, } sparkline = { v.Required( 'fillColor', default=sparkline_defaults['fillColor'] ): v.All(str), v.Required('full', default=False): v.All(bool), v.Required( 'lineColor', default=sparkline_defaults['lineColor'] ): v.All(str), v.Required('show', default=False): v.All(bool), } singlestat = { v.Required('colorBackground', default=False): v.All(bool), v.Required('colorValue', default=False): v.All(bool), v.Required('maxDataPoints', default=100): v.All(int), v.Required('postfix', default=''): v.All(str), # Support 0% to 200% by 10 v.Required( 'postfixFontSize', default='50%'): v.All( v.Match(r'^[1-9]?[0]{1}%$|^1[0-9]?[0]{1}%$|^200%$')), v.Required('prefix', default=''): v.All(str), # Support 0% to 200% by 10 v.Required( 'prefixFontSize', default='50%'): v.All( v.Match(r'^[1-9]?[0]{1}%$|^1[0-9]?[0]{1}%$|^200%$')), v.Required('sparkline', default=sparkline_defaults): sparkline, v.Required('targets', default=[]): v.All(list), v.Required('thresholds', default=''): v.All(str), # Support 0% to 200% by 10 v.Required( 'valueFontSize', default='80%'): v.All( v.Match(r'^[1-9]?[0]{1}%$|^1[0-9]?[0]{1}%$|^200%$')), v.Required('valueName', default='avg'): v.Any( 'avg', 'current', 'max', 'min', 'total'), v.Optional('decimals'): v.All(int, v.Range(min=0, max=12)), } singlestat.update(self.base) return v.Schema(singlestat)