Customize your visualization with configuration options

Dica

This lesson is part of a course that teaches you how to build a custom visualization on the New Relic platform.

Each lesson in the course builds upon the last, so make sure you've completed the last lesson, Custom visualizations and the New Relic SDK, before starting this one.

Begin here

In the previous lesson, you built a custom visualization that shows queried data in one of two chart types:

You used a SegmentedControl to switch between the two chart types in the visualization UI. This implementation takes up space in the visualization, but it offers your users the choice to switch between two chart types even after you've created an instance of your chart. But what if you only need to be able to select an option once, when initializing the visualization?

In this lesson you'll learn how to add a configuration option to your visualization which replaces the SegmentedControl.

Dica

If you get lost in the code project and would like to see what the files should look like when you're done with each lesson, check out the course project on Github.

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
  Treemap,
} from 'recharts';
import {
  AutoSizer,
  Card,
  CardBody,
  HeadingText,
  NrqlQuery,
  SegmentedControl,
  SegmentedControlItem,
  Spinner,
} from 'nr1';

const CHART_TYPES = {
  Radar: 'radar',
  Treemap: 'treemap',
};

export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,

    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };

  state = {
    selectedChart: CHART_TYPES.Radar,
  };

  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };

  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };

  updateSelectedChart = (evt, value) => {
    this.setState({ selectedChart: value });
  };

  render() {
    const { nrqlQueries, stroke, fill } = this.props;
    const { selectedChart } = this.state;

    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;

    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }

    return (
      <AutoSizer>
        {({ width, height }) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({ data, loading, error }) => {
              if (loading) {
                return <Spinner />;
              }

              if (error) {
                return <ErrorState />;
              }

              const transformedData = this.transformData(data);

              return (
                <React.Fragment>
                  <SegmentedControl onChange={this.updateSelectedChart}>
                    <SegmentedControlItem
                      value={CHART_TYPES.Radar}
                      label="Radar chart"
                    />
                    <SegmentedControlItem
                      value={CHART_TYPES.Treemap}
                      label="Treemap chart"
                    />
                  </SegmentedControl>
                  {selectedChart === CHART_TYPES.Radar ? (
                    <RadarChart
                      width={width}
                      height={height}
                      data={transformedData}
                    >
                      <PolarGrid />
                      <PolarAngleAxis dataKey="name" />
                      <PolarRadiusAxis tickFormatter={this.formatTick} />
                      <Radar
                        dataKey="value"
                        stroke={stroke || '#51C9B7'}
                        fill={fill || '#51C9B7'}
                        fillOpacity={0.6}
                      />
                    </RadarChart>
                  ) : (
                    <Treemap
                      width={width}
                      height={height}
                      data={transformedData}
                      dataKey="value"
                      ratio={4 / 3}
                      stroke={stroke || '#000000'}
                      fill={fill || '#51C9B7'}
                    />
                  )}
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}

const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);

const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);

visualizations/radar-or-treemap/index.js

{
  "schemaType": "VISUALIZATION",
  "id": "radar-or-treemap",
  "displayName": "RadarOrTreemap",
  "description": "",
  "configuration": [
    {
      "name": "nrqlQueries",
      "title": "NRQL Queries",
      "type": "collection",
      "items": [
        {
          "name": "accountId",
          "title": "Account ID",
          "description": "Account ID to be associated with the query",
          "type": "account-id"
        },
        {
          "name": "query",
          "title": "Query",
          "description": "NRQL query for visualization",
          "type": "nrql"
        }
      ]
    },
    {
      "name": "fill",
      "title": "Fill color",
      "description": "A fill color to override the default fill color",
      "type": "string"
    },
    {
      "name": "stroke",
      "title": "Stroke color",
      "description": "A stroke color to override the default stroke color",
      "type": "string"
    }
  ]
}

visualizations/radar-or-treemap/nr1.json

Add a new configuration option

In your visualization's nr1.json file, add an enum configuration object for selectedChart:

{
  "schemaType": "VISUALIZATION",
  "id": "radar-or-treemap",
  "displayName": "RadarOrTreemap",
  "description": "",
  "configuration": [
    {
      "name": "selectedChart",
      "title": "Select chart",
      "description": "Select which chart to display",
      "type": "enum",
      "items": [
        {
          "title": "Radar",
          "value": "radar"
        },
        {
          "title": "Treemap",
          "value": "treemap"
        }
      ]
    },
    {
      "name": "nrqlQueries",
      "title": "NRQL Queries",
      "type": "collection",
      "items": [
        {
          "name": "accountId",
          "title": "Account ID",
          "description": "Account ID to be associated with the query",
          "type": "account-id"
        },
        {
          "name": "query",
          "title": "Query",
          "description": "NRQL query for visualization",
          "type": "nrql"
        }
      ]
    },
    {
      "name": "fill",
      "title": "Fill color",
      "description": "A fill color to override the default fill color",
      "type": "string"
    },
    {
      "name": "stroke",
      "title": "Stroke color",
      "description": "A stroke color to override the default stroke color",
      "type": "string"
    }
  ]
}

visualizations/radar-or-treemap/nr1.json

Navigate to the root of your Nerdpack at alternate-viz.

Serve your Nerdpack locally:

bash

$nr1 nerdpack:serve

If you're still serving your Nerdpack from the last lesson, you need to stop it with CTRL-X and serve it again to reflect changes to nr1.json.

Go to https://one.newrelic.com/?nerdpacks=local. The nerdpacks=local query string directs the UI to load your visualization from the local server.

Open the Apps page.

Go to Custom Visualizations.

In Custom Visualizations, find and click your visualization.

Notice the new Select chart configuration option.

Selecting a chart type doesn't effect your visualization. This is because you first need to introduce the selectedChart property to the visualization component. Then, you use selectedChart to determine the chart type to render.

Replace your `SegmentedControl` with the configurable property

Open your visualization's index.js file. You'll be working here for the rest of the guide.

In render(), include selectedChart as a constant you get from destructuring props, and remove your component's state:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
  Treemap,
} from 'recharts';
import {
  AutoSizer,
  Card,
  CardBody,
  HeadingText,
  NrqlQuery,
  SegmentedControl,
  SegmentedControlItem,
  Spinner,
} from 'nr1';

const CHART_TYPES = {
  Radar: 'radar',
  Treemap: 'treemap',
};

export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,

    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };

  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };

  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };

  render() {
    const { nrqlQueries, stroke, fill, selectedChart } = this.props;

    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;

    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }

    return (
      <AutoSizer>
        {({ width, height }) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({ data, loading, error }) => {
              if (loading) {
                return <Spinner />;
              }

              if (error) {
                return <ErrorState />;
              }

              const transformedData = this.transformData(data);

              return (
                <React.Fragment>
                  <SegmentedControl>
                    <SegmentedControlItem
                      value={CHART_TYPES.Radar}
                      label="Radar chart"
                    />
                    <SegmentedControlItem
                      value={CHART_TYPES.Treemap}
                      label="Treemap chart"
                    />
                  </SegmentedControl>
                  {selectedChart === CHART_TYPES.Radar ? (
                    <RadarChart
                      width={width}
                      height={height}
                      data={transformedData}
                    >
                      <PolarGrid />
                      <PolarAngleAxis dataKey="name" />
                      <PolarRadiusAxis tickFormatter={this.formatTick} />
                      <Radar
                        dataKey="value"
                        stroke={stroke || '#51C9B7'}
                        fill={fill || '#51C9B7'}
                        fillOpacity={0.6}
                      />
                    </RadarChart>
                  ) : (
                    <Treemap
                      width={width}
                      height={height}
                      data={transformedData}
                      dataKey="value"
                      ratio={4 / 3}
                      stroke={stroke || '#000000'}
                      fill={fill || '#51C9B7'}
                    />
                  )}
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}

const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);

const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);

visualizations/radar-or-treemap/index.js

Now that you're using selectedChart from the configuration options instead of component state, you can select a chart in the configuration panel and watch the visualization change. Unfortunately, there's a bug. The default chart option is Radar, but the initial render shows a Treemap.

Update your ternary expression to account for the case where there is no selectedChart:

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
  Treemap,
} from 'recharts';
import {
  AutoSizer,
  Card,
  CardBody,
  HeadingText,
  NrqlQuery,
  SegmentedControl,
  SegmentedControlItem,
  Spinner,
} from 'nr1';

const CHART_TYPES = {
  Radar: 'radar',
  Treemap: 'treemap',
};

export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,

    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };

  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };

  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };

  render() {
    const { nrqlQueries, stroke, fill, selectedChart } = this.props;

    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;

    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }

    return (
      <AutoSizer>
        {({ width, height }) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({ data, loading, error }) => {
              if (loading) {
                return <Spinner />;
              }

              if (error) {
                return <ErrorState />;
              }

              const transformedData = this.transformData(data);

              return (
                <React.Fragment>
                  <SegmentedControl>
                    <SegmentedControlItem
                      value={CHART_TYPES.Radar}
                      label="Radar chart"
                    />
                    <SegmentedControlItem
                      value={CHART_TYPES.Treemap}
                      label="Treemap chart"
                    />
                  </SegmentedControl>
                  {!selectedChart || selectedChart === CHART_TYPES.Radar ? (
                    <RadarChart
                      width={width}
                      height={height}
                      data={transformedData}
                    >
                      <PolarGrid />
                      <PolarAngleAxis dataKey="name" />
                      <PolarRadiusAxis tickFormatter={this.formatTick} />
                      <Radar
                        dataKey="value"
                        stroke={stroke || '#51C9B7'}
                        fill={fill || '#51C9B7'}
                        fillOpacity={0.6}
                      />
                    </RadarChart>
                  ) : (
                    <Treemap
                      width={width}
                      height={height}
                      data={transformedData}
                      dataKey="value"
                      ratio={4 / 3}
                      stroke={stroke || '#000000'}
                      fill={fill || '#51C9B7'}
                    />
                  )}
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}

const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);

const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);

visualizations/radar-or-treemap/index.js

Now, your data is rendered in a RadarChart if you haven't yet configured the option.

Remove SegmentedControl from render():

import React from 'react';
import PropTypes from 'prop-types';
import {
  Radar,
  RadarChart,
  PolarGrid,
  PolarAngleAxis,
  PolarRadiusAxis,
  Treemap,
} from 'recharts';
import {
  AutoSizer,
  Card,
  CardBody,
  HeadingText,
  NrqlQuery,
  Spinner,
} from 'nr1';

const CHART_TYPES = {
  Radar: 'radar',
  Treemap: 'treemap',
};

export default class RadarOrTreemapVisualization extends React.Component {
  // Custom props you wish to be configurable in the UI must also be defined in
  // the nr1.json file for the visualization. See docs for more details.
  static propTypes = {
    /**
     * A fill color to override the default fill color. This is an example of
     * a custom chart configuration.
     */
    fill: PropTypes.string,

    /**
     * A stroke color to override the default stroke color. This is an example of
     * a custom chart configuration.
     */
    stroke: PropTypes.string,
    /**
     * An array of objects consisting of a nrql `query` and `accountId`.
     * This should be a standard prop for any NRQL based visualizations.
     */
    nrqlQueries: PropTypes.arrayOf(
      PropTypes.shape({
        accountId: PropTypes.number,
        query: PropTypes.string,
      })
    ),
  };

  /**
   * Restructure the data for a non-time-series, facet-based NRQL query into a
   * form accepted by the Recharts library's RadarChart.
   * (https://recharts.org/api/RadarChart).
   */
  transformData = (rawData) => {
    return rawData.map((entry) => ({
      name: entry.metadata.name,
      // Only grabbing the first data value because this is not time-series data.
      value: entry.data[0].y,
    }));
  };

  /**
   * Format the given axis tick's numeric value into a string for display.
   */
  formatTick = (value) => {
    return value.toLocaleString();
  };

  render() {
    const { nrqlQueries, stroke, fill, selectedChart } = this.props;

    const nrqlQueryPropsAvailable =
      nrqlQueries &&
      nrqlQueries[0] &&
      nrqlQueries[0].accountId &&
      nrqlQueries[0].query;

    if (!nrqlQueryPropsAvailable) {
      return <EmptyState />;
    }

    return (
      <AutoSizer>
        {({ width, height }) => (
          <NrqlQuery
            query={nrqlQueries[0].query}
            accountId={parseInt(nrqlQueries[0].accountId)}
            pollInterval={NrqlQuery.AUTO_POLL_INTERVAL}
          >
            {({ data, loading, error }) => {
              if (loading) {
                return <Spinner />;
              }

              if (error) {
                return <ErrorState />;
              }

              const transformedData = this.transformData(data);

              return (
                <React.Fragment>
                  {!selectedChart || selectedChart === CHART_TYPES.Radar ? (
                    <RadarChart
                      width={width}
                      height={height}
                      data={transformedData}
                    >
                      <PolarGrid />
                      <PolarAngleAxis dataKey="name" />
                      <PolarRadiusAxis tickFormatter={this.formatTick} />
                      <Radar
                        dataKey="value"
                        stroke={stroke || '#51C9B7'}
                        fill={fill || '#51C9B7'}
                        fillOpacity={0.6}
                      />
                    </RadarChart>
                  ) : (
                    <Treemap
                      width={width}
                      height={height}
                      data={transformedData}
                      dataKey="value"
                      ratio={4 / 3}
                      stroke={stroke || '#000000'}
                      fill={fill || '#51C9B7'}
                    />
                  )}
                </React.Fragment>
              );
            }}
          </NrqlQuery>
        )}
      </AutoSizer>
    );
  }
}

const EmptyState = () => (
  <Card className="EmptyState">
    <CardBody className="EmptyState-cardBody">
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Please provide at least one NRQL query & account ID pair
      </HeadingText>
      <HeadingText
        spacingType={[HeadingText.SPACING_TYPE.MEDIUM]}
        type={HeadingText.TYPE.HEADING_4}
      >
        An example NRQL query you can try is:
      </HeadingText>
      <code>FROM NrUsage SELECT sum(usage) FACET metric SINCE 1 week ago</code>
    </CardBody>
  </Card>
);

const ErrorState = () => (
  <Card className="ErrorState">
    <CardBody className="ErrorState-cardBody">
      <HeadingText
        className="ErrorState-headingText"
        spacingType={[HeadingText.SPACING_TYPE.LARGE]}
        type={HeadingText.TYPE.HEADING_3}
      >
        Oops! Something went wrong.
      </HeadingText>
    </CardBody>
  </Card>
);

visualizations/radar-or-treemap/index.js

Serve your Nerdpack locally and view it in the Custom Visualizations app in New Relic. Select a chart type from the dropdown in the configuration sidebar, and see your visualization update to show the matching chart type.

Summary

Congratulations on completing this lesson! You've learned how to customize your visualization using nr1.json configuration.

Curso

This lesson is part of a course that teaches you how to build a custom visualization on the New Relic platform. When you're ready, continue on to the next lesson: Add custom visualizations to your dashboards.

Customize your visualization with configuration options

Dica

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Dica

Add a new configuration option

Replace your SegmentedControl with the configurable property

Summary

Curso

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Replace your `SegmentedControl` with the configurable property