Files
optuna-dashboard/optuna_dashboard/ts/components/GraphRank.tsx
T
2023-12-04 16:19:15 +09:00

335 lines
9.6 KiB
TypeScript

import * as plotly from "plotly.js-dist-min"
import React, { FC, useEffect, useState } from "react"
import {
Grid,
FormControl,
FormLabel,
MenuItem,
Select,
Typography,
SelectChangeEvent,
useTheme,
Box,
} from "@mui/material"
import { plotlyDarkTemplate } from "./PlotlyDarkMode"
import { getAxisInfo, makeHovertext } from "../graphUtil"
import { useMergedUnionSearchSpace } from "../searchSpace"
const plotDomId = "graph-rank"
interface RankPlotInfo {
xtitle: string
ytitle: string
xtype: plotly.AxisType
ytype: plotly.AxisType
xvalues: (string | number)[]
yvalues: (string | number)[]
colors: number[]
is_feasible: boolean[]
hovertext: string[]
}
export const GraphRank: FC<{
study: StudyDetail | null
}> = ({ study = null }) => {
const theme = useTheme()
const [objectiveId, setobjectiveId] = useState<number>(0)
const searchSpace = useMergedUnionSearchSpace(study?.union_search_space)
const [xParam, setXParam] = useState<SearchSpaceItem | null>(null)
const [yParam, setYParam] = useState<SearchSpaceItem | null>(null)
const objectiveNames: string[] = study?.objective_names || []
if (xParam === null && searchSpace.length > 0) {
setXParam(searchSpace[0])
}
if (yParam === null && searchSpace.length > 1) {
setYParam(searchSpace[1])
}
const handleObjectiveChange = (event: SelectChangeEvent<number>) => {
setobjectiveId(Number(event.target.value))
}
const handleXParamChange = (event: SelectChangeEvent<string>) => {
const param = searchSpace.find((item) => item.name === event.target.value)
setXParam(param || null)
}
const handleYParamChange = (event: SelectChangeEvent<string>) => {
const param = searchSpace.find((item) => item.name === event.target.value)
setYParam(param || null)
}
useEffect(() => {
if (study != null) {
const rankPlotInfo = getRankPlotInfo(study, objectiveId, xParam, yParam)
plotRank(rankPlotInfo, theme.palette.mode)
}
}, [study, objectiveId, xParam, yParam, theme.palette.mode])
const space: SearchSpaceItem[] = study ? study.union_search_space : []
return (
<Grid container direction="row">
<Grid
item
xs={3}
container
direction="column"
sx={{ paddingRight: theme.spacing(2) }}
>
<Typography
variant="h6"
sx={{ margin: "1em 0", fontWeight: theme.typography.fontWeightBold }}
>
Rank
</Typography>
{study !== null && study.directions.length !== 1 ? (
<FormControl component="fieldset">
<FormLabel component="legend">Objective:</FormLabel>
<Select value={objectiveId} onChange={handleObjectiveChange}>
{study.directions.map((d, i) => (
<MenuItem value={i} key={i}>
{objectiveNames.length === study?.directions.length
? objectiveNames[i]
: `${i}`}
</MenuItem>
))}
</Select>
</FormControl>
) : null}
{study !== null && space.length > 0 ? (
<Grid container direction="column" gap={1}>
<FormControl component="fieldset" fullWidth>
<FormLabel component="legend">x:</FormLabel>
<Select value={xParam?.name || ""} onChange={handleXParamChange}>
{space.map((d) => (
<MenuItem value={d.name} key={d.name}>
{d.name}
</MenuItem>
))}
</Select>
</FormControl>
<FormControl component="fieldset" fullWidth>
<FormLabel component="legend">y:</FormLabel>
<Select value={yParam?.name || ""} onChange={handleYParamChange}>
{space.map((d) => (
<MenuItem value={d.name} key={d.name}>
{d.name}
</MenuItem>
))}
</Select>
</FormControl>
</Grid>
) : null}
</Grid>
<Grid item xs={9}>
<Box id={plotDomId} sx={{ height: "450px" }} />
</Grid>
</Grid>
)
}
const getRankPlotInfo = (
study: StudyDetail | null,
objectiveId: number,
xParam: SearchSpaceItem | null,
yParam: SearchSpaceItem | null
): RankPlotInfo | null => {
if (study === null) {
return null
}
const trials = study.trials
const filteredTrials = trials.filter(filterFunc)
if (filteredTrials.length < 2 || xParam === null || yParam === null) {
return null
}
const xAxis = getAxisInfo(filteredTrials, xParam)
const yAxis = getAxisInfo(filteredTrials, yParam)
let xValues: (string | number)[] = []
let yValues: (string | number)[] = []
const zValues: number[] = []
const isFeasible: boolean[] = []
const hovertext: string[] = []
filteredTrials.forEach((trial, i) => {
const xValue = xAxis.values[i]
const yValue = yAxis.values[i]
if (xValue && yValue && trial.values) {
xValues.push(xValue)
yValues.push(yValue)
const zValue = Number(trial.values[objectiveId])
zValues.push(zValue)
const feasibility = trial.constraints.every((c) => c <= 0)
isFeasible.push(feasibility)
hovertext.push(makeHovertext(trial))
}
})
const colors = getColors(zValues)
if (xAxis.isCat && !yAxis.isCat) {
const indices: number[] = Array.from(Array(xValues.length).keys()).sort(
(a, b) =>
xValues[a]
.toString()
.toLowerCase()
.localeCompare(xValues[b].toString().toLowerCase())
)
xValues = indices.map((i) => xValues[i])
yValues = indices.map((i) => yValues[i])
} else if (!xAxis.isCat && yAxis.isCat) {
const indices: number[] = Array.from(Array(yValues.length).keys()).sort(
(a, b) =>
yValues[a]
.toString()
.toLowerCase()
.localeCompare(yValues[b].toString().toLowerCase())
)
xValues = indices.map((i) => xValues[i])
yValues = indices.map((i) => yValues[i])
} else if (xAxis.isCat && yAxis.isCat) {
const indices: number[] = Array.from(Array(xValues.length).keys()).sort(
(a, b) => {
const xComp = xValues[a]
.toString()
.toLowerCase()
.localeCompare(xValues[b].toString().toLowerCase())
if (xComp !== 0) {
return xComp
}
return yValues[a]
.toString()
.toLowerCase()
.localeCompare(yValues[b].toString().toLowerCase())
}
)
xValues = indices.map((i) => xValues[i])
yValues = indices.map((i) => yValues[i])
}
return {
xtitle: xAxis.name,
ytitle: yAxis.name,
xtype: xAxis.isCat ? "category" : xAxis.isLog ? "log" : "linear",
ytype: yAxis.isCat ? "category" : yAxis.isLog ? "log" : "linear",
xvalues: xValues,
yvalues: yValues,
colors,
is_feasible: isFeasible,
hovertext,
}
}
const filterFunc = (trial: Trial): boolean => {
return trial.state === "Complete" && trial.values !== undefined
}
const getColors = (values: number[]): number[] => {
const rawRanks = getOrderWithSameOrderAveraging(values)
let colorIdxs: number[] = []
if (values.length > 2) {
colorIdxs = rawRanks.map((rank) => rank / (values.length - 1))
} else {
colorIdxs = [0.5]
}
return colorIdxs
}
const getOrderWithSameOrderAveraging = (values: number[]): number[] => {
const sortedValues = values.slice().sort((a, b) => a - b)
const ranks: number[] = []
values.forEach((value) => {
const firstIndex = sortedValues.indexOf(value)
const lastIndex = sortedValues.lastIndexOf(value)
const sumOfTheValue =
((firstIndex + lastIndex) * (lastIndex - firstIndex + 1)) / 2
const rank = sumOfTheValue / (lastIndex - firstIndex + 1)
ranks.push(rank)
})
return ranks
}
const plotRank = (rankPlotInfo: RankPlotInfo | null, mode: string) => {
if (document.getElementById(plotDomId) === null) {
return
}
if (rankPlotInfo === null) {
plotly.react(plotDomId, [], {
template: mode === "dark" ? plotlyDarkTemplate : {},
})
return
}
const layout: Partial<plotly.Layout> = {
xaxis: {
title: rankPlotInfo.xtitle,
type: rankPlotInfo.xtype,
},
yaxis: {
title: rankPlotInfo.ytitle,
type: rankPlotInfo.ytype,
},
margin: {
l: 50,
t: 0,
r: 50,
b: 50,
},
uirevision: "true",
template: mode === "dark" ? plotlyDarkTemplate : {},
}
const xValues = rankPlotInfo.xvalues
const yValues = rankPlotInfo.yvalues
const plotData: Partial<plotly.PlotData>[] = [
{
type: "scatter",
x: xValues.filter((_, i) => rankPlotInfo.is_feasible[i]),
y: yValues.filter((_, i) => rankPlotInfo.is_feasible[i]),
marker: {
color: rankPlotInfo.colors.filter(
(_, i) => rankPlotInfo.is_feasible[i]
),
colorscale: "Portland",
colorbar: {
title: "Rank",
},
size: 10,
line: {
color: "Grey",
width: 0.5,
},
},
mode: "markers",
showlegend: false,
hovertemplate: "%{hovertext}<extra></extra>",
hovertext: rankPlotInfo.hovertext.filter(
(_, i) => rankPlotInfo.is_feasible[i]
),
},
{
type: "scatter",
x: xValues.filter((_, i) => !rankPlotInfo.is_feasible[i]),
y: yValues.filter((_, i) => !rankPlotInfo.is_feasible[i]),
marker: {
color: "#cccccc",
size: 10,
line: {
color: "Grey",
width: 0.5,
},
},
mode: "markers",
showlegend: false,
hovertemplate: "%{hovertext}<extra></extra>",
hovertext: rankPlotInfo.hovertext.filter(
(_, i) => !rankPlotInfo.is_feasible[i]
),
},
]
plotly.react(plotDomId, plotData, layout)
}