DefaultMetricPoint.tsx

import * as React from 'react';
import { Stack, Dropdown, Toggle, IDropdownOption } from '@fluentui/react';
import ReactEcharts from 'echarts-for-react';
import { Trial } from '@model/trial';
import { EXPERIMENT, TRIALS } from '@static/datamodel';
import { TooltipForAccuracy, EventMap } from '@static/interface';
import { reformatRetiariiParameter } from '@static/function';
import { gap15 } from '@components/fluent/ChildrenGap';
import { optimizeModeValue } from './optimizeMode';
import 'echarts/lib/chart/scatter';
import 'echarts/lib/component/tooltip';
import 'echarts/lib/component/title';

// this file is for overview page and detail page's Default metric graph

const EmptyGraph = {
    grid: {
        left: '8%'
    },
    xAxis: {
        name: 'Trial',
        type: 'category'
    },
    yAxis: {
        name: 'Default metric',
        type: 'value'
    }
};

interface DefaultPointProps {
    trialIds: string[];
    chartHeight: number;
    hasBestCurve: boolean;
    changeExpandRowIDs: Function;
}

interface DefaultPointState {
    bestCurveEnabled?: boolean | undefined;
    startY: number; // dataZoomY
    endY: number;
    userSelectOptimizeMode: string;
    userSelectAccuracyNumberKey: string;
}

class DefaultPoint extends React.Component<DefaultPointProps, DefaultPointState> {
    constructor(props: DefaultPointProps) {
        super(props);
        this.state = {
            bestCurveEnabled: false,
            startY: 0, // dataZoomY
            endY: 100,
            userSelectOptimizeMode: optimizeModeValue(EXPERIMENT.optimizeMode),
            userSelectAccuracyNumberKey: 'default'
        };
    }

    loadDefault = (ev: React.MouseEvent<HTMLElement>, checked?: boolean): void => {
        this.setState({ bestCurveEnabled: checked });
    };

    metricDataZoom = (e: EventMap): void => {
        if (e.batch !== undefined) {
            this.setState(() => ({
                startY: e.batch[0].start !== null ? e.batch[0].start : 0,
                endY: e.batch[0].end !== null ? e.batch[0].end : 100
            }));
        }
    };

    pointClick = (params: any): void => {
        // [hasBestCurve: true]: is detail page, otherwise, is overview page
        const { hasBestCurve } = this.props;
        if (!hasBestCurve) {
            this.props.changeExpandRowIDs(params.data[2], 'chart');
        }
    };

    generateGraphConfig(_maxSequenceId: number): any {
        const { startY, endY, userSelectAccuracyNumberKey } = this.state;
        const { hasBestCurve } = this.props;
        return {
            grid: {
                left: '8%'
            },
            tooltip: {
                trigger: 'item',
                enterable: hasBestCurve,
                confine: true, // confirm always show tooltip box rather than hidden by background
                formatter: (data: TooltipForAccuracy): React.ReactNode => `
                    <div class="tooldetailAccuracy">
                        <div>Trial No.: ${data.data[0]}</div>
                        <div>Trial ID: ${data.data[2]}</div>
                        <div>${userSelectAccuracyNumberKey}: ${data.data[1]}</div>
                        <div>Parameters: <pre>${JSON.stringify(
                            reformatRetiariiParameter(data.data[3]),
                            null,
                            4
                        )}</pre></div>
                    </div>
                `
            },
            dataZoom: [
                {
                    id: 'dataZoomY',
                    type: 'inside',
                    yAxisIndex: [0],
                    filterMode: 'empty',
                    start: startY,
                    end: endY
                }
            ],
            xAxis: {
                name: 'Trial',
                type: 'category'
            },
            yAxis: {
                name: 'Default metric',
                type: 'value',
                scale: true
            },
            series: undefined
        };
    }

    private formatAccuracy(accuracy: number | undefined): number {
        if (accuracy === undefined || isNaN(accuracy) || !isFinite(accuracy)) {
            return 0;
        }
        return accuracy;
    }

    generateScatterSeries(trials: Trial[]): any {
        const { userSelectAccuracyNumberKey } = this.state;
        let data;
        if (trials[0].accuracyNumberTypeDictKeys.length > 1) {
            // dict type final results
            data = trials.map(trial => [
                trial.sequenceId,
                trial.acc === undefined ? 0 : this.formatAccuracy(trial.acc[userSelectAccuracyNumberKey]),
                trial.id,
                trial.parameter
            ]);
        } else {
            data = trials.map(trial => [
                trial.sequenceId,
                this.formatAccuracy(trial.accuracy),
                trial.id,
                trial.parameter
            ]);
        }

        return {
            symbolSize: 6,
            type: 'scatter',
            data
        };
    }

    generateBestCurveSeries(trials: Trial[]): any {
        const { userSelectOptimizeMode, userSelectAccuracyNumberKey } = this.state;
        let best = trials[0];
        const data = [
            [
                best.sequenceId,
                best.acc === undefined ? 0 : this.formatAccuracy(best.acc[userSelectAccuracyNumberKey]),
                best.id,
                best.parameter
            ]
        ];
        for (let i = 1; i < trials.length; i++) {
            const trial = trials[i];
            // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
            const delta = trial.acc![userSelectAccuracyNumberKey] - best.acc![userSelectAccuracyNumberKey];
            const better = userSelectOptimizeMode === 'minimize' ? delta < 0 : delta > 0;
            if (better) {
                data.push([
                    trial.sequenceId,
                    trial.acc === undefined ? 0 : this.formatAccuracy(trial.acc[userSelectAccuracyNumberKey]),
                    best.id,
                    trial.parameter
                ]);
                best = trial;
            } else {
                data.push([
                    trial.sequenceId,
                    best.acc === undefined ? 0 : this.formatAccuracy(best.acc[userSelectAccuracyNumberKey]),
                    best.id,
                    trial.parameter
                ]);
            }
        }

        return {
            type: 'line',
            lineStyle: { color: '#FF6600' },
            data
        };
    }

    updateUserOptimizeMode = (event: React.FormEvent<HTMLDivElement>, item?: IDropdownOption): void => {
        if (item !== undefined) {
            this.setState({ userSelectOptimizeMode: item.key.toString() });
        }
    };

    // final result keys dropdown click event
    updateTrialfinalResultKeys = (event: React.FormEvent<HTMLDivElement>, item?: IDropdownOption): void => {
        if (item !== undefined) {
            this.setState(
                {
                    userSelectAccuracyNumberKey: item.key.toString()
                },
                () => {
                    this.generateGraph();
                }
            );
        }
    };

    render(): React.ReactNode {
        const { hasBestCurve, chartHeight } = this.props;
        const { userSelectOptimizeMode, userSelectAccuracyNumberKey } = this.state;
        const trials = TRIALS.getTrials(this.props.trialIds).filter(trial => trial.sortable);
        const graph = this.generateGraph();
        const accNodata = graph === EmptyGraph ? 'No data' : '';
        const onEvents = { dataZoom: this.metricDataZoom, click: this.pointClick };
        let dictDropdown: string[] = [];
        if (trials.length > 0) {
            dictDropdown = trials[0].accuracyNumberTypeDictKeys;
        }
        return (
            <div>
                {hasBestCurve && (
                    <Stack horizontal reversed tokens={gap15} className='default-metric'>
                        <Toggle label='Optimization curve' inlineLabel onChange={this.loadDefault} />
                        <Dropdown
                            selectedKey={userSelectOptimizeMode}
                            onChange={this.updateUserOptimizeMode}
                            options={[
                                { key: 'maximize', text: 'Maximize' },
                                { key: 'minimize', text: 'Minimize' }
                            ]}
                            styles={{ dropdown: { width: 100 } }}
                            className='para-filter-percent'
                        />
                        {dictDropdown.length > 1 && (
                            <Dropdown
                                selectedKey={userSelectAccuracyNumberKey}
                                onChange={this.updateTrialfinalResultKeys}
                                options={dictDropdown.map(item => ({ key: item, text: item }))}
                                styles={{ dropdown: { width: 100 } }}
                                className='para-filter-percent'
                            />
                        )}
                    </Stack>
                )}
                <div className='default-metric-graph graph'>
                    <ReactEcharts
                        option={graph}
                        style={{
                            width: '100%',
                            height: chartHeight,
                            margin: '0 auto'
                        }}
                        theme='nni_theme'
                        notMerge={true} // update now
                        onEvents={onEvents}
                    />
                    <div className='default-metric-noData fontColor333'>{accNodata}</div>
                </div>
            </div>
        );
    }

    private generateGraph(): any {
        const trials = TRIALS.getTrials(this.props.trialIds).filter(trial => trial.sortable);
        if (trials.length === 0) {
            return EmptyGraph;
        }
        const graph = this.generateGraphConfig(trials[trials.length - 1].sequenceId);
        if (this.state.bestCurveEnabled) {
            (graph as any).series = [this.generateBestCurveSeries(trials), this.generateScatterSeries(trials)];
        } else {
            (graph as any).series = [this.generateScatterSeries(trials)];
        }
        return graph;
    }
}

export default DefaultPoint;