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8295bd6882
this shall be a progressive process
105 lines
1.9 KiB
JavaScript
105 lines
1.9 KiB
JavaScript
const React = require('react');
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const buildArray = require('build-array');
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const ReactRedux = require('react-redux');
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const Chart = require('./chart');
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const actions = require('./actions');
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const {
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connect
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} = ReactRedux;
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const {
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subscribe,
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unsubscribe
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} = actions;
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const mapStateToProps = (state, ownProps) => {
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return {
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windowSize: state.windowSize,
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data: state[ownProps.id]
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};
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};
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const mapDispatchToProps = (dispatch, ownProps) => {
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return {
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subscribe: () => {
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return dispatch(subscribe(ownProps.id));
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},
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unsubscribe: () => {
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return unsubscribe(ownProps.id);
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}
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}
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};
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const Graph = connect(
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mapStateToProps,
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mapDispatchToProps,
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)(React.createClass({
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componentWillMount: function() {
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this.props.subscribe();
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},
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componentWillUnmount: function() {
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this.props.unsubscribe();
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},
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render: function() {
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const {
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data = [],
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windowSize
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} = this.props;
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const _data = buildArray(windowSize).map((v, i) => {
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return data[i] ? data[i] : {
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cpu: 0,
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when: new Date().getTime()
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};
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});
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const median = data.reduce((sum, v) => (sum + v.cpu), 0) / data.length;
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const bg = median > 50
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? 'rgba(205, 54, 54, 0.3)'
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: 'rgba(54, 74, 205, 0.3)';
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const border = median > 50
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? 'rgba(248, 51, 51, 0.5)'
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: 'rgba(54, 73, 205, 0.5)';
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return (
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<Chart
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data={_data}
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bg={bg}
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border={border}
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median={median}
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/>
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);
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}
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}));
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module.exports = ({
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x,
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y
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}) => {
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const m = buildArray(y).map((v, i) => {
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const m = buildArray(x).map((v, y) => {
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const id = `${i}${y}`;
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return (
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<div className={`col-xs-${12/x}`}>
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<Graph key={id} id={id} />
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</div>
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);
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});
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return (
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<div className='row'>
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{m}
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</div>
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);
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});
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return (
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<div>
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{m}
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</div>
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);
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};
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