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react-native-hgraph

v0.5.0

Published

React Native implementation of hGraph

Downloads

12

Readme

Introduction

This is a React Native native implementation of the hGraph library. hGraph is a visual representation of a patient's health status, designed to increase awareness of the individual's factors that can affect one's overall health.

react-native-hgraph

Getting started


$ npm install react-native-hgraph --save

$ react-native link react-native-hgraph

You will still need to manually add the SVG package manually. Please follow the steps below.

iOS Manual Installation

Follow the steps bellow:

  1. Add RNSVG.xcodeproj from <React Native Project>/node_modules/react-native-svg/iOS/ to your project

  2. Link the libRNSVG.a library in the Linked Frameworks and Libraries in your Target -> General -> Linked Frameworks and Libraries

Android Manual Installation

Follow the steps bellow:

  1. Import the react-native-hgraph module: Add the following lines to your settings.gradle file:
include ':react-native-svg'  
project(':react-native-svg').projectDir = new File(rootProject.projectDir, '../node_modules/react-native-svg/android')  
include ':react-native-hgraph'  
project(':react-native-hgraph').projectDir = new File(rootProject.projectDir, '../node_modules/react-native-hgraph/android')
  1. Add the compile line in your app gradle file:
implementation project(':react-native-svg')  
implementation project(':react-native-hgraph')
  1. Import RNReactNativeHgraphPackage and SvgPackage in the MainApplication.java file:
import io.citizenhealth.RNReactNativeHgraphPackage;  
import com.horcrux.svg.SvgPackage;

and add the new SvgPackage() and new RNReactNativeHgraphPackage() in your getPackages() function in MainApplication.java

protected List<ReactPackage> getPackages() {  
  return Arrays.<ReactPackage>asList(  
      new MainReactPackage(),  
       new SvgPackage(),  
       new RNReactNativeHgraphPackage()  
  );  
}

Common props:

| Prop Name | Type | Is Required | Description | Default | | --------- | ---- | ----------- | ----------- | ------- | | data | array | true | An array of objects representing the metrics to display in hGraph (see below) | N/A | | score | number | false | The overall score to display in the center of hGraph | N/A | | width | number | false | The width in pixels hGraph should render at. | 600 | | height | number | false | The height in pixels hGraph should render at. | 600 | | margin | object | false | An object representing the values for margins around hGraph. | { top: 70, right: 100, bottom: 70, left: 100 } | | thresholdMin | number | false | A number value between 0 and 1 (percentage), determining the position the lower threshold of the healthy range renders at. | .25 | | thresholdMax | number | false | A number value between 0 and 1 (percentage), determining the position the upper threshold of the healthy range renders at. | .75 | | donutHoleFactor | number | false | A number value between 0 and 1 (percentage), determining the amount of hGraph's radius that should be cut out forming the hole in the center of the graph. | .4 | | pathColor | string (hex color code) | false | The color of the polygon shape.| "#d2d2d2" | | color | string (hex color code) | false | The color of the points and polygon shape. | '#616363' | | healthyRangeFillColor | string (hex color code) | false | The color of the healthy range band. | '#98bd8e' | | fontSize | number | false | The size (in pixels) of the font for the labels. | 16 | | fontColor | string (hex color code) | false | The color of the labels. | '#000' | | showAxisLabel | boolean | false | Whether or not axis labels should display around hGraph. | true | | axisLabelWrapWidth | number | false | The width (in pixels) that the labels should wrap text at. | 80 (Note: use null for no wrapping) | | axisLabelOffset | number | false | The distance (in pixels) that axis labels should be offset from the outer bounds of hGraph's 'absolute max' radius. | 12 | | areaOpacity | number | false | The opacity of the polygon shape. | 0.25 | | pointRadius | number | false | The radius (in pixels) of the points for metric values. | 10 | | pointLabelWrapWidth | number | false | The width (in pixels) that the point labels should wrap text at. | null (no wrapping) | | pointLabelOffset | number | false | The distance (in pixels) that point labels should be offset from the point. | 8 | | hitboxRadius | number | false | The radius (in pixels) of the point hitboxes. (hGraph overlays a transparent hitbox over each point which can help users accurately click/touch points, particularly on mobile devices.) | Defaults to props.pointRadius size. | showScore | boolean | false | Whether or not to display the overall score in the middle of hGraph. | true | | scoreFontSize | number | false | The size (in pixels) of the font for the overall hGraph score | 120 | | scoreFontColor | string (hex color code) | false | The color of the hGraph score. | '#000' | | zoomFactor | number | false | The multiplier factor hGraph should zoom in. | 2.25 | | zoomTransitionTime | number | false | The amount of time (in milliseconds) the zooming animation should take. | 750 | | zoomOnPointClick | boolean | false | Configure if hGraph should zoom in/focus on a clicked point and display child points in the graph. | true | | onPointClick | function | false | Callback function called when a point is clicked. Function is passed 2 arguments: the data object corresponding to the point clicked, and the event. | N/A | Name | Default | Type | Description ----------------|------------|--------------|--------------

Usage

import  HGraph, {
	hGraphConvert,
	calculateHealthScore
} from  'react-native-hgraph';
...
const  totalCholesterolValue  = (1-0)*Math.random();
const  ldlValue  = (300-0)*Math.random();
const  hdlValue  = (150-0)*Math.random();
const  triglyceridesValue  = (300-0)*Math.random();
const  bloodPressureSystolicValue  = (230-50)*Math.random();
const  bloodPressureDiastolicValue  = (140-35)*Math.random();
const  alcoholUseValue  = (20-0)*Math.random();
const  nicotineUseValue  = (20-0)*Math.random();
const  painLevelValue  = (10-0)*Math.random();
const  waistCircumferenceValue  = (200-0)*Math.random();
const  weightValue  = (400-50)*Math.random();
const  exerciseValue  = (60-0)*Math.random();
const  sleepValue  = (18-0)*Math.random();
const  happinessValue  = (10-0)*Math.random();
const  glucoseValue  = (160-0)*Math.random();
const  otherValue  = (1-0)*Math.random();
const  healthData  = [
hGraphConvert('male', 'totalCholesterol',
{
	id :  'totalCholesterol',
	"value" :  totalCholesterolValue
}),
hGraphConvert('male', 'ldl',
{
	id :  'ldl',
	"value" :  ldlValue
}),
hGraphConvert('male', 'hdl',
{
	id :  'hdl',
	"value" :  hdlValue
}),
hGraphConvert('male', 'triglycerides',
{
	id :  'triglycerides',
	"value" :  triglyceridesValue
}),
hGraphConvert('male', 'bloodPressureSystolic',
{
	id :  'bloodPressureSystolic',
	"value" :  bloodPressureSystolicValue
}),
hGraphConvert('male', 'bloodPressureDiastolic',
{
	id :  'bloodPressureDiastolic',
	"value" :  bloodPressureDiastolicValue
}),
hGraphConvert('male', 'alcoholUse',
{
	id :  'alcoholUse',
	"value" :  alcoholUseValue
}),
hGraphConvert('male', 'nicotineUse',
{
	id :  'nicotineUse',
	"value" :  nicotineUseValue
}),
hGraphConvert('male', 'painLevel',
{
	id :  'painLevel',
	"value" :  painLevelValue
}),
hGraphConvert('male', 'waistCircumference',
{
	id :  'waistCircumference',
	"value" :  waistCircumferenceValue
}),
hGraphConvert('male', 'weight',
{
	id :  'weight',
	"value" :  weightValue
}),
hGraphConvert('male', 'exercise',
{
	id :  'exercise',
	"value" :  exerciseValue
}),
hGraphConvert('male', 'sleep',
{
	id :  'sleep',
	"value" :  sleepValue
}),
hGraphConvert('male', 'happiness',
{
	id :  'happiness',
	"value" :  happinessValue
}),
hGraphConvert('male', 'glucose',
{
	id :  'glucose',
	"value" :  glucoseValue
}),
hGraphConvert('male', 'other',
{
	id :  'other',
	"value" :  otherValue
}),
]
const  healthScore  =  Math.floor(calculateHealthScore(healthData));
...
<HGraph
	width= {200}
	height= {200}
	score={98}
	margin={
		{top:  50,
		right:  100,
		bottom:  50,
		left:  100}}
	showAxisLabel={true}
	scoreFontSize= {50}
	data= {}
/>