Files
optuna-dashboard/optuna_dashboard/static/components/GraphHistory.tsx
T
2021-04-07 13:23:18 +09:00

256 lines
6.9 KiB
TypeScript

import * as plotly from "plotly.js-dist"
import React, { ChangeEvent, FC, useEffect, useState } from "react"
import {
Grid,
FormControl,
FormLabel,
FormControlLabel,
Checkbox,
MenuItem,
Switch,
Select,
Radio,
RadioGroup,
} from "@material-ui/core"
import { createStyles, makeStyles, Theme } from "@material-ui/core/styles"
const plotDomId = "graph-history"
const useStyles = makeStyles((theme: Theme) =>
createStyles({
formControl: {
marginBottom: theme.spacing(2),
},
})
)
export const GraphHistory: FC<{
study: StudyDetail | null
}> = ({ study = null }) => {
const classes = useStyles()
const [xAxis, setXAxis] = useState<string>("number")
const [objectiveId, setObjectiveId] = useState<number>(0)
const [logScale, setLogScale] = useState<boolean>(false)
const [filterCompleteTrial, setFilterCompleteTrial] = useState<boolean>(false)
const [filterPrunedTrial, setFilterPrunedTrial] = useState<boolean>(false)
const handleObjectiveChange = (
event: React.ChangeEvent<{ value: unknown }>
) => {
setObjectiveId(event.target.value as number)
}
const handleXAxisChange = (e: ChangeEvent<HTMLInputElement>) => {
setXAxis(e.target.value)
}
const handleLogScaleChange = (e: ChangeEvent<HTMLInputElement>) => {
e.preventDefault()
setLogScale(!logScale)
}
const handleFilterCompleteChange = (e: ChangeEvent<HTMLInputElement>) => {
e.preventDefault()
setFilterCompleteTrial(!filterCompleteTrial)
}
const handleFilterPrunedChange = (e: ChangeEvent<HTMLInputElement>) => {
e.preventDefault()
setFilterPrunedTrial(!filterPrunedTrial)
}
useEffect(() => {
if (study !== null) {
plotHistory(
study,
objectiveId,
xAxis,
logScale,
filterCompleteTrial,
filterPrunedTrial
)
}
}, [
study,
objectiveId,
logScale,
xAxis,
filterPrunedTrial,
filterCompleteTrial,
])
return (
<Grid container direction="row">
<Grid item xs={3}>
<Grid container direction="column">
{study !== null && study.directions.length !== 1 ? (
<FormControl component="fieldset" className={classes.formControl}>
<FormLabel component="legend">Objective ID:</FormLabel>
<Select value={objectiveId} onChange={handleObjectiveChange}>
{study.directions.map((d, i) => (
<MenuItem value={i} key={i}>
{i}
</MenuItem>
))}
</Select>
</FormControl>
) : null}
<FormControl component="fieldset" className={classes.formControl}>
<FormLabel component="legend">Log scale:</FormLabel>
<Switch
checked={logScale}
onChange={handleLogScaleChange}
value="enable"
/>
</FormControl>
<FormControl component="fieldset" className={classes.formControl}>
<FormLabel component="legend">Filter state:</FormLabel>
<FormControlLabel
control={
<Checkbox
checked={!filterCompleteTrial}
onChange={handleFilterCompleteChange}
/>
}
label="Complete"
/>
<FormControlLabel
control={
<Checkbox
checked={!filterPrunedTrial}
onChange={handleFilterPrunedChange}
/>
}
label="Pruned"
/>
</FormControl>
<FormControl component="fieldset" className={classes.formControl}>
<FormLabel component="legend">X-axis:</FormLabel>
<RadioGroup
aria-label="gender"
name="gender1"
value={xAxis}
onChange={handleXAxisChange}
>
<FormControlLabel
value="number"
control={<Radio />}
label="Number"
/>
<FormControlLabel
value="datetime_start"
control={<Radio />}
label="Datetime start"
/>
<FormControlLabel
value="datetime_complete"
control={<Radio />}
label="Datetime complete"
/>
</RadioGroup>
</FormControl>
</Grid>
</Grid>
<Grid item xs={9}>
<div id={plotDomId} />
</Grid>
</Grid>
)
}
const plotHistory = (
study: StudyDetail,
objectiveId: number,
xAxis: string,
logScale: boolean,
filterCompleteTrial: boolean,
filterPrunedTrial: boolean
) => {
if (document.getElementById(plotDomId) === null) {
return
}
const layout: Partial<plotly.Layout> = {
margin: {
l: 50,
t: 0,
r: 50,
b: 0,
},
yaxis: {
type: logScale ? "log" : "linear",
},
xaxis: {
type: xAxis === "number" ? "linear" : "date",
},
showlegend: false,
}
let filteredTrials = study.trials.filter(
(t) =>
t.state === "Complete" ||
(t.state === "Pruned" && t.values && t.values.length > 0)
)
if (filterCompleteTrial) {
filteredTrials = filteredTrials.filter((t) => t.state !== "Complete")
}
if (filterPrunedTrial) {
filteredTrials = filteredTrials.filter((t) => t.state !== "Pruned")
}
if (filteredTrials.length === 0) {
plotly.react(plotDomId, [])
return
}
const trialsForLinePlot: Trial[] = []
let currentBest: number | null = null
filteredTrials.forEach((item) => {
if (currentBest === null) {
currentBest = item.values![objectiveId]
trialsForLinePlot.push(item)
} else if (
study.directions[objectiveId] === "maximize" &&
item.values![objectiveId] > currentBest
) {
currentBest = item.values![objectiveId]
trialsForLinePlot.push(item)
} else if (
study.directions[objectiveId] === "minimize" &&
item.values![objectiveId] < currentBest
) {
currentBest = item.values![objectiveId]
trialsForLinePlot.push(item)
}
})
const getAxisX = (trial: Trial): number | Date => {
return xAxis === "number"
? trial.number
: xAxis === "datetime_start"
? trial.datetime_start!
: trial.datetime_complete!
}
const xForLinePlot = trialsForLinePlot.map(getAxisX)
xForLinePlot.push(getAxisX(filteredTrials[filteredTrials.length - 1]))
const yForLinePlot = trialsForLinePlot.map(
(t: Trial): number => t.values![objectiveId]
)
yForLinePlot.push(yForLinePlot[yForLinePlot.length - 1])
const plotData: Partial<plotly.PlotData>[] = [
{
x: filteredTrials.map(getAxisX),
y: filteredTrials.map((t: Trial): number => t.values![objectiveId]),
mode: "markers",
type: "scatter",
},
{
x: xForLinePlot,
y: yForLinePlot,
mode: "lines",
type: "scatter",
},
]
plotly.react(plotDomId, plotData, layout)
}