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controls.jsx
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controls.jsx
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import React from 'react';
import {
formatSelectOptionsForRange,
formatSelectOptions,
mainMetric,
} from '../../modules/utils';
import * as v from '../validators';
import { colorPrimary, ALL_COLOR_SCHEMES, spectrums } from '../../modules/colors';
import { defaultViewport } from '../../modules/geo';
import MetricOption from '../../components/MetricOption';
import ColumnOption from '../../components/ColumnOption';
import OptionDescription from '../../components/OptionDescription';
import { t } from '../../locales';
const D3_FORMAT_DOCS = 'D3 format syntax: https://github.com/d3/d3-format';
// input choices & options
const D3_FORMAT_OPTIONS = [
['.1s', '.1s | 12k'],
['.3s', '.3s | 12.3k'],
['.1%', '.1% | 12.3%'],
['.3%', '.3% | 1234543.210%'],
['.4r', '.4r | 12350'],
['.3f', '.3f | 12345.432'],
['+,', '+, | +12,345.4321'],
['$,.2f', '$,.2f | $12,345.43'],
];
const ROW_LIMIT_OPTIONS = [10, 50, 100, 250, 500, 1000, 5000, 10000, 50000];
const SERIES_LIMITS = [0, 5, 10, 25, 50, 100, 500];
export const D3_TIME_FORMAT_OPTIONS = [
['smart_date', 'Adaptative formating'],
['%d/%m/%Y', '%d/%m/%Y | 14/01/2019'],
['%m/%d/%Y', '%m/%d/%Y | 01/14/2019'],
['%Y-%m-%d', '%Y-%m-%d | 2019-01-14'],
['%Y-%m-%d %H:%M:%S', '%Y-%m-%d %H:%M:%S | 2019-01-14 01:32:10'],
['%d-%m-%Y %H:%M:%S', '%Y-%m-%d %H:%M:%S | 14-01-2019 01:32:10'],
['%H:%M:%S', '%H:%M:%S | 01:32:10'],
];
const timeColumnOption = {
verbose_name: 'Time',
column_name: '__timestamp',
description: t(
'A reference to the [Time] configuration, taking granularity into ' +
'account'),
};
const sortAxisChoices = [
['alpha_asc', 'Axis ascending'],
['alpha_desc', 'Axis descending'],
['value_asc', 'sum(value) ascending'],
['value_desc', 'sum(value) descending'],
];
const groupByControl = {
type: 'SelectControl',
multi: true,
label: t('Group by'),
default: [],
includeTime: false,
description: t('One or many controls to group by'),
optionRenderer: c => <ColumnOption column={c} showType />,
valueRenderer: c => <ColumnOption column={c} />,
valueKey: 'column_name',
mapStateToProps: (state, control) => {
const newState = {};
if (state.datasource) {
newState.options = state.datasource.columns.filter(c => c.groupby);
if (control && control.includeTime) {
newState.options.push(timeColumnOption);
}
}
return newState;
},
};
const sandboxUrl = (
'https://github.com/apache/incubator-superset/' +
'blob/master/superset/assets/javascripts/modules/sandbox.js');
const jsFunctionInfo = (
<div>
{t('For more information about objects are in context in the scope of this function, refer to the')}
<a href={sandboxUrl}>
{t(" source code of Superset's sandboxed parser")}.
</a>.
</div>
);
function jsFunctionControl(label, description, extraDescr = null, height = 100, defaultText = '') {
return {
type: 'TextAreaControl',
language: 'javascript',
label,
description,
height,
default: defaultText,
aboveEditorSection: (
<div>
<p>{description}</p>
<p>{jsFunctionInfo}</p>
{extraDescr}
</div>
),
mapStateToProps: state => ({
warning: !state.common.conf.ENABLE_JAVASCRIPT_CONTROLS ?
t('This functionality is disabled in your environment for security reasons.') : null,
readOnly: !state.common.conf.ENABLE_JAVASCRIPT_CONTROLS,
}),
};
}
export const controls = {
datasource: {
type: 'DatasourceControl',
label: t('Datasource'),
default: null,
description: null,
mapStateToProps: state => ({
datasource: state.datasource,
}),
},
viz_type: {
type: 'VizTypeControl',
label: t('Visualization Type'),
default: 'table',
description: t('The type of visualization to display'),
},
metrics: {
type: 'MetricsControl',
multi: true,
label: t('Metrics'),
validators: [v.nonEmpty],
default: (c) => {
const metric = mainMetric(c.options);
return metric ? [metric] : null;
},
mapStateToProps: state => ({
columns: state.datasource ? state.datasource.columns : [],
savedMetrics: state.datasource ? state.datasource.metrics : [],
datasourceType: state.datasource && state.datasource.type,
}),
description: t('One or many metrics to display'),
},
percent_metrics: {
type: 'SelectControl',
multi: true,
label: t('Percentage Metrics'),
valueKey: 'metric_name',
optionRenderer: m => <MetricOption metric={m} showType />,
valueRenderer: m => <MetricOption metric={m} />,
mapStateToProps: state => ({
options: (state.datasource) ? state.datasource.metrics : [],
}),
description: t('Metrics for which percentage of total are to be displayed'),
},
y_axis_bounds: {
type: 'BoundsControl',
label: t('Y Axis Bounds'),
renderTrigger: true,
default: [null, null],
description: t('Bounds for the Y axis. When left empty, the bounds are ' +
'dynamically defined based on the min/max of the data. Note that ' +
"this feature will only expand the axis range. It won't " +
"narrow the data's extent."),
},
order_by_cols: {
type: 'SelectControl',
multi: true,
label: t('Ordering'),
default: [],
description: t('One or many metrics to display'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.order_by_choices : [],
}),
},
color_picker: {
label: t('Fixed Color'),
description: t('Use this to define a static color for all circles'),
type: 'ColorPickerControl',
default: colorPrimary,
renderTrigger: true,
},
legend_position: {
label: t('Legend Position'),
description: t('Choose the position of the legend'),
type: 'SelectControl',
clearable: false,
default: 'Top right',
choices: [
['tl', 'Top left'],
['tr', 'Top right'],
['bl', 'Bottom left'],
['br', 'Bottom right'],
],
renderTrigger: true,
},
fill_color_picker: {
label: t('Fill Color'),
description: t(' Set the opacity to 0 if you do not want to override the color specified in the GeoJSON'),
type: 'ColorPickerControl',
default: colorPrimary,
renderTrigger: true,
},
stroke_color_picker: {
label: t('Stroke Color'),
description: t(' Set the opacity to 0 if you do not want to override the color specified in the GeoJSON'),
type: 'ColorPickerControl',
default: colorPrimary,
renderTrigger: true,
},
metric: {
type: 'MetricsControl',
multi: false,
label: t('Metric'),
clearable: false,
validators: [v.nonEmpty],
default: c => mainMetric(c.options),
mapStateToProps: state => ({
columns: state.datasource ? state.datasource.columns : [],
savedMetrics: state.datasource ? state.datasource.metrics : [],
datasourceType: state.datasource && state.datasource.type,
}),
},
metric_2: {
type: 'SelectControl',
label: t('Right Axis Metric'),
default: null,
validators: [v.nonEmpty],
clearable: true,
description: t('Choose a metric for right axis'),
valueKey: 'metric_name',
optionRenderer: m => <MetricOption metric={m} showType />,
valueRenderer: m => <MetricOption metric={m} />,
mapStateToProps: state => ({
options: (state.datasource) ? state.datasource.metrics : [],
}),
},
stacked_style: {
type: 'SelectControl',
label: t('Stacked Style'),
renderTrigger: true,
choices: [
['stack', 'stack'],
['stream', 'stream'],
['expand', 'expand'],
],
default: 'stack',
description: '',
},
sort_x_axis: {
type: 'SelectControl',
label: t('Sort X Axis'),
choices: sortAxisChoices,
clearable: false,
default: 'alpha_asc',
},
sort_y_axis: {
type: 'SelectControl',
label: t('Sort Y Axis'),
choices: sortAxisChoices,
clearable: false,
default: 'alpha_asc',
},
linear_color_scheme: {
type: 'ColorSchemeControl',
label: t('Linear Color Scheme'),
choices: [
['fire', 'fire'],
['blue_white_yellow', 'blue/white/yellow'],
['white_black', 'white/black'],
['black_white', 'black/white'],
['dark_blue', 'light/dark blue'],
['pink_grey', 'pink/white/grey'],
],
default: 'blue_white_yellow',
clearable: false,
description: '',
renderTrigger: true,
schemes: spectrums,
isLinear: true,
},
normalize_across: {
type: 'SelectControl',
label: t('Normalize Across'),
choices: [
['heatmap', 'heatmap'],
['x', 'x'],
['y', 'y'],
],
default: 'heatmap',
description: t('Color will be rendered based on a ratio ' +
'of the cell against the sum of across this ' +
'criteria'),
},
horizon_color_scale: {
type: 'SelectControl',
label: t('Horizon Color Scale'),
choices: [
['series', 'series'],
['overall', 'overall'],
['change', 'change'],
],
default: 'series',
description: t('Defines how the color are attributed.'),
},
canvas_image_rendering: {
type: 'SelectControl',
label: t('Rendering'),
renderTrigger: true,
choices: [
['pixelated', 'pixelated (Sharp)'],
['auto', 'auto (Smooth)'],
],
default: 'pixelated',
description: t('image-rendering CSS attribute of the canvas object that ' +
'defines how the browser scales up the image'),
},
xscale_interval: {
type: 'SelectControl',
label: t('XScale Interval'),
choices: formatSelectOptionsForRange(1, 50),
default: '1',
description: t('Number of steps to take between ticks when ' +
'displaying the X scale'),
},
yscale_interval: {
type: 'SelectControl',
label: t('YScale Interval'),
choices: formatSelectOptionsForRange(1, 50),
default: null,
description: t('Number of steps to take between ticks when ' +
'displaying the Y scale'),
},
include_time: {
type: 'CheckboxControl',
label: t('Include Time'),
description: t('Whether to include the time granularity as defined in the time section'),
default: false,
},
autozoom: {
type: 'CheckboxControl',
label: t('Auto Zoom'),
default: true,
renderTrigger: true,
description: t('When checked, the map will zoom to your data after each query'),
},
show_perc: {
type: 'CheckboxControl',
label: t('Show percentage'),
renderTrigger: true,
description: t('Whether to include the percentage in the tooltip'),
default: true,
},
bar_stacked: {
type: 'CheckboxControl',
label: t('Stacked Bars'),
renderTrigger: true,
default: false,
description: null,
},
pivot_margins: {
type: 'CheckboxControl',
label: t('Show totals'),
renderTrigger: false,
default: true,
description: t('Display total row/column'),
},
show_markers: {
type: 'CheckboxControl',
label: t('Show Markers'),
renderTrigger: true,
default: false,
description: t('Show data points as circle markers on the lines'),
},
show_bar_value: {
type: 'CheckboxControl',
label: t('Bar Values'),
default: false,
renderTrigger: true,
description: t('Show the value on top of the bar'),
},
order_bars: {
type: 'CheckboxControl',
label: t('Sort Bars'),
default: false,
renderTrigger: true,
description: t('Sort bars by x labels.'),
},
combine_metric: {
type: 'CheckboxControl',
label: t('Combine Metrics'),
default: false,
description: t('Display metrics side by side within each column, as ' +
'opposed to each column being displayed side by side for each metric.'),
},
show_controls: {
type: 'CheckboxControl',
label: t('Extra Controls'),
renderTrigger: true,
default: false,
description: t('Whether to show extra controls or not. Extra controls ' +
'include things like making mulitBar charts stacked ' +
'or side by side.'),
},
reduce_x_ticks: {
type: 'CheckboxControl',
label: t('Reduce X ticks'),
renderTrigger: true,
default: false,
description: t('Reduces the number of X axis ticks to be rendered. ' +
'If true, the x axis wont overflow and labels may be ' +
'missing. If false, a minimum width will be applied ' +
'to columns and the width may overflow into an ' +
'horizontal scroll.'),
},
include_series: {
type: 'CheckboxControl',
label: t('Include Series'),
renderTrigger: true,
default: false,
description: t('Include series name as an axis'),
},
secondary_metric: {
type: 'SelectControl',
label: t('Color Metric'),
default: null,
description: t('A metric to use for color'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.metrics_combo : [],
}),
},
select_country: {
type: 'SelectControl',
label: t('Country Name'),
default: 'France',
choices: [
'Belgium',
'Brazil',
'China',
'Egypt',
'France',
'Germany',
'Italy',
'Morocco',
'Netherlands',
'Russia',
'Singapore',
'Spain',
'Uk',
'Ukraine',
'Usa',
].map(s => [s, s]),
description: t('The name of country that Superset should display'),
},
country_fieldtype: {
type: 'SelectControl',
label: t('Country Field Type'),
default: 'cca2',
choices: [
['name', 'Full name'],
['cioc', 'code International Olympic Committee (cioc)'],
['cca2', 'code ISO 3166-1 alpha-2 (cca2)'],
['cca3', 'code ISO 3166-1 alpha-3 (cca3)'],
],
description: t('The country code standard that Superset should expect ' +
'to find in the [country] column'),
},
freq: {
type: 'SelectControl',
label: t('Frequency'),
default: 'W-MON',
freeForm: true,
clearable: false,
choices: [
['AS', 'Year (freq=AS)'],
['52W-MON', '52 weeks starting Monday (freq=52W-MON)'],
['W-SUN', '1 week starting Sunday (freq=W-SUN)'],
['W-MON', '1 week starting Monday (freq=W-MON)'],
['D', 'Day (freq=D)'],
['4W-MON', '4 weeks (freq=4W-MON)'],
],
description: t(
`The periodicity over which to pivot time. Users can provide
"Pandas" offset alias.
Click on the info bubble for more details on accepted "freq" expressions.`),
tooltipOnClick: () => {
window.open(
'https://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases');
},
},
groupby: groupByControl,
dimension: {
...groupByControl,
label: t('Dimension'),
description: t('Select a dimension'),
multi: false,
default: null,
},
columns: Object.assign({}, groupByControl, {
label: t('Columns'),
description: t('One or many controls to pivot as columns'),
}),
all_columns: {
type: 'SelectControl',
multi: true,
label: t('Columns'),
default: [],
description: t('Columns to display'),
optionRenderer: c => <ColumnOption column={c} showType />,
valueRenderer: c => <ColumnOption column={c} />,
valueKey: 'column_name',
mapStateToProps: state => ({
options: (state.datasource) ? state.datasource.columns : [],
}),
},
spatial: {
type: 'SpatialControl',
label: t('Longitude & Latitude'),
validators: [v.nonEmpty],
description: t('Point to your spatial columns'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
start_spatial: {
type: 'SpatialControl',
label: t('Start Longitude & Latitude'),
validators: [v.nonEmpty],
description: t('Point to your spatial columns'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
end_spatial: {
type: 'SpatialControl',
label: t('End Longitude & Latitude'),
validators: [v.nonEmpty],
description: t('Point to your spatial columns'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
longitude: {
type: 'SelectControl',
label: t('Longitude'),
default: 1,
validators: [v.nonEmpty],
description: t('Select the longitude column'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
latitude: {
type: 'SelectControl',
label: t('Latitude'),
default: 1,
validators: [v.nonEmpty],
description: t('Select the latitude column'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
geojson: {
type: 'SelectControl',
label: t('GeoJson Column'),
validators: [v.nonEmpty],
description: t('Select the geojson column'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
polygon: {
type: 'SelectControl',
label: t('Polygon Column'),
validators: [v.nonEmpty],
description: t('Select the polygon column. Each row should contain JSON.array(N) of [longitude, latitude] points'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
point_radius_scale: {
type: 'SelectControl',
freeForm: true,
label: t('Point Radius Scale'),
validators: [v.integer],
default: null,
choices: formatSelectOptions([0, 100, 200, 300, 500]),
},
stroke_width: {
type: 'SelectControl',
freeForm: true,
label: t('Stroke Width'),
validators: [v.integer],
default: null,
choices: formatSelectOptions([1, 2, 3, 4, 5]),
},
all_columns_x: {
type: 'SelectControl',
label: 'X',
default: null,
description: t('Columns to display'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
all_columns_y: {
type: 'SelectControl',
label: 'Y',
default: null,
description: t('Columns to display'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.all_cols : [],
}),
},
druid_time_origin: {
type: 'SelectControl',
freeForm: true,
label: t('Origin'),
choices: [
['', 'default'],
['now', 'now'],
],
default: null,
description: t('Defines the origin where time buckets start, ' +
'accepts natural dates as in `now`, `sunday` or `1970-01-01`'),
},
bottom_margin: {
type: 'SelectControl',
freeForm: true,
label: t('Bottom Margin'),
choices: formatSelectOptions(['auto', 50, 75, 100, 125, 150, 200]),
default: 'auto',
renderTrigger: true,
description: t('Bottom margin, in pixels, allowing for more room for axis labels'),
},
left_margin: {
type: 'SelectControl',
freeForm: true,
label: t('Left Margin'),
choices: formatSelectOptions(['auto', 50, 75, 100, 125, 150, 200]),
default: 'auto',
renderTrigger: true,
description: t('Left margin, in pixels, allowing for more room for axis labels'),
},
granularity: {
type: 'SelectControl',
freeForm: true,
label: t('Time Granularity'),
default: 'one day',
choices: formatSelectOptions([
'all',
'5 seconds',
'30 seconds',
'1 minute',
'5 minutes',
'1 hour',
'6 hour',
'1 day',
'7 days',
'week',
'week_starting_sunday',
'week_ending_saturday',
'month',
]),
description: t('The time granularity for the visualization. Note that you ' +
'can type and use simple natural language as in `10 seconds`, ' +
'`1 day` or `56 weeks`'),
},
domain_granularity: {
type: 'SelectControl',
label: t('Domain'),
default: 'month',
choices: formatSelectOptions(['hour', 'day', 'week', 'month', 'year']),
description: t('The time unit used for the grouping of blocks'),
},
subdomain_granularity: {
type: 'SelectControl',
label: t('Subdomain'),
default: 'day',
choices: formatSelectOptions(['min', 'hour', 'day', 'week', 'month']),
description: t('The time unit for each block. Should be a smaller unit than ' +
'domain_granularity. Should be larger or equal to Time Grain'),
},
link_length: {
type: 'SelectControl',
freeForm: true,
label: t('Link Length'),
default: '200',
choices: formatSelectOptions(['10', '25', '50', '75', '100', '150', '200', '250']),
description: t('Link length in the force layout'),
},
charge: {
type: 'SelectControl',
freeForm: true,
label: t('Charge'),
default: '-500',
choices: formatSelectOptions([
'-50',
'-75',
'-100',
'-150',
'-200',
'-250',
'-500',
'-1000',
'-2500',
'-5000',
]),
description: t('Charge in the force layout'),
},
granularity_sqla: {
type: 'SelectControl',
label: t('Time Column'),
description: t('The time column for the visualization. Note that you ' +
'can define arbitrary expression that return a DATETIME ' +
'column in the table. Also note that the ' +
'filter below is applied against this column or ' +
'expression'),
default: (c) => {
if (c.options && c.options.length > 0) {
return c.options[0].column_name;
}
return null;
},
clearable: false,
optionRenderer: c => <ColumnOption column={c} showType />,
valueRenderer: c => <ColumnOption column={c} />,
valueKey: 'column_name',
mapStateToProps: (state) => {
const newState = {};
if (state.datasource) {
newState.options = state.datasource.columns.filter(c => c.is_dttm);
}
return newState;
},
},
time_grain_sqla: {
type: 'SelectControl',
label: t('Time Grain'),
default: control => control.choices && control.choices.length ? control.choices[0][0] : null,
description: t('The time granularity for the visualization. This ' +
'applies a date transformation to alter ' +
'your time column and defines a new time granularity. ' +
'The options here are defined on a per database ' +
'engine basis in the Superset source code.'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.time_grain_sqla : null,
}),
},
resample_rule: {
type: 'SelectControl',
freeForm: true,
label: t('Resample Rule'),
default: null,
choices: formatSelectOptions(['', '1T', '1H', '1D', '7D', '1M', '1AS']),
description: t('Pandas resample rule'),
},
resample_how: {
type: 'SelectControl',
freeForm: true,
label: t('Resample How'),
default: null,
choices: formatSelectOptions(['', 'mean', 'sum', 'median']),
description: t('Pandas resample how'),
},
resample_fillmethod: {
type: 'SelectControl',
freeForm: true,
label: t('Resample Fill Method'),
default: null,
choices: formatSelectOptions(['', 'ffill', 'bfill']),
description: t('Pandas resample fill method'),
},
since: {
type: 'DateFilterControl',
freeForm: true,
label: t('Since'),
default: t('7 days ago'),
},
until: {
type: 'DateFilterControl',
freeForm: true,
label: t('Until'),
default: 'now',
},
max_bubble_size: {
type: 'SelectControl',
freeForm: true,
label: t('Max Bubble Size'),
default: '25',
choices: formatSelectOptions(['5', '10', '15', '25', '50', '75', '100']),
},
whisker_options: {
type: 'SelectControl',
freeForm: true,
label: t('Whisker/outlier options'),
default: 'Tukey',
description: t('Determines how whiskers and outliers are calculated.'),
choices: formatSelectOptions([
'Tukey',
'Min/max (no outliers)',
'2/98 percentiles',
'9/91 percentiles',
]),
},
treemap_ratio: {
type: 'TextControl',
label: t('Ratio'),
renderTrigger: true,
isFloat: true,
default: 0.5 * (1 + Math.sqrt(5)), // d3 default, golden ratio
description: t('Target aspect ratio for treemap tiles.'),
},
number_format: {
type: 'SelectControl',
freeForm: true,
label: t('Number format'),
renderTrigger: true,
default: '.3s',
choices: D3_FORMAT_OPTIONS,
description: D3_FORMAT_DOCS,
},
row_limit: {
type: 'SelectControl',
freeForm: true,
label: t('Row limit'),
validators: [v.integer],
default: 10000,
choices: formatSelectOptions(ROW_LIMIT_OPTIONS),
},
limit: {
type: 'SelectControl',
freeForm: true,
label: t('Series limit'),
validators: [v.integer],
choices: formatSelectOptions(SERIES_LIMITS),
description: t(
'Limits the number of time series that get displayed. A sub query ' +
'(or an extra phase where sub queries are not supported) is applied to limit ' +
'the number of time series that get fetched and displayed. This feature is useful ' +
'when grouping by high cardinality dimension(s).'),
},
timeseries_limit_metric: {
type: 'SelectControl',
label: t('Sort By'),
default: null,
description: t('Metric used to define the top series'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.metrics_combo : [],
}),
},
order_desc: {
type: 'CheckboxControl',
label: t('Sort Descending'),
default: true,
description: t('Whether to sort descending or ascending'),
},
rolling_type: {
type: 'SelectControl',
label: t('Rolling'),
default: 'None',
choices: formatSelectOptions(['None', 'mean', 'sum', 'std', 'cumsum']),
description: t('Defines a rolling window function to apply, works along ' +
'with the [Periods] text box'),
},
multiplier: {
type: 'TextControl',
label: t('Multiplier'),
isFloat: true,
renderTrigger: true,
default: 1,
description: t('Factor to multiply the metric by'),
},
rolling_periods: {
type: 'TextControl',
label: t('Periods'),
isInt: true,
description: t('Defines the size of the rolling window function, ' +
'relative to the time granularity selected'),
},
grid_size: {
type: 'TextControl',
label: t('Grid Size'),
renderTrigger: true,
default: 20,
isInt: true,
description: t('Defines the grid size in pixels'),
},
min_periods: {
type: 'TextControl',
label: t('Min Periods'),
isInt: true,
description: t('The minimum number of rolling periods required to show ' +
'a value. For instance if you do a cumulative sum on 7 days ' +
'you may want your "Min Period" to be 7, so that all data points ' +
'shown are the total of 7 periods. This will hide the "ramp up" ' +
'taking place over the first 7 periods'),
},
series: {
type: 'SelectControl',
label: t('Series'),
default: null,
description: t('Defines the grouping of entities. ' +
'Each series is shown as a specific color on the chart and ' +
'has a legend toggle'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.gb_cols : [],
}),
},
entity: {
type: 'SelectControl',
label: t('Entity'),
default: null,
validators: [v.nonEmpty],
description: t('This defines the element to be plotted on the chart'),
mapStateToProps: state => ({
choices: (state.datasource) ? state.datasource.gb_cols : [],
}),
},
x: {
type: 'SelectControl',