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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 | 33x 1x 1x 1x 1x 4x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 2x 1x 1x 1x 3x 1x 3x | import { Button } from "@/ahuora-design-system/ui/button";
import { ScrollArea } from "@/ahuora-design-system/ui/scroll-area";
import {
Select,
SelectContent,
SelectGroup,
SelectItem,
SelectLabel,
SelectTrigger,
SelectValue,
} from "@/ahuora-design-system/ui/select";
import { Separator } from "@/ahuora-design-system/ui/separator";
import { MlModelRead, useLazyCoreMlExportMlModelRetrieveQuery } from "@/api/apiStore.gen";
import { useState } from "react";
import {
CartesianGrid,
ReferenceArea,
ResponsiveContainer,
Scatter,
ScatterChart,
Tooltip,
XAxis,
YAxis,
} from "recharts";
const ShowChart = ({ chartData, name }) => {
const minVal = chartData.min;
const maxVal = chartData.max;
const refLine = [
{ x: minVal, y: minVal },
{ x: maxVal, y: maxVal },
];
const roundToNiceNumber = (num: number) => {
return Number(num.toPrecision(2));
};
const [left, setLeft] = useState(roundToNiceNumber(minVal));
const [right, setRight] = useState(roundToNiceNumber(maxVal));
const [bottom, setBottom] = useState(roundToNiceNumber(minVal));
const [top, setTop] = useState(roundToNiceNumber(maxVal));
const [refAreaLeft, setRefAreaLeft] = useState(null);
const [refAreaRight, setRefAreaRight] = useState(null);
const zoom = () => {
Iif (!refAreaLeft || !refAreaRight || refAreaLeft === refAreaRight) {
setRefAreaLeft(null);
setRefAreaRight(null);
return;
}
const leftVal = Math.min(refAreaLeft, refAreaRight);
const rightVal = Math.max(refAreaLeft, refAreaRight);
setLeft(roundToNiceNumber(leftVal));
setRight(roundToNiceNumber(rightVal));
setBottom(roundToNiceNumber(leftVal));
setTop(roundToNiceNumber(rightVal));
setRefAreaLeft(null);
setRefAreaRight(null);
};
const zoomOut = () => {
setLeft(roundToNiceNumber(minVal));
setRight(roundToNiceNumber(maxVal));
setBottom(roundToNiceNumber(minVal));
setTop(roundToNiceNumber(maxVal));
setRefAreaLeft(null);
setRefAreaRight(null);
};
return (
<div className="select-none w-full" aria-label="QQ Plot">
<h1 className="text-center">
QQ Plot of the surrogate model's outlet {name}
</h1>
<div className="flex justify-end">
<Button onClick={zoomOut} variant="outline" size="sm" className="mb-2">
Zoom to fit
</Button>
</div>
<ResponsiveContainer width="100%" height={400}>
<ScatterChart
width={730}
height={250}
margin={{ right: 0, left: 60, bottom: 20 }}
onMouseDown={(e) => setRefAreaLeft(e.xValue)}
onMouseMove={(e) => refAreaLeft && setRefAreaRight(e.xValue)}
onMouseUp={zoom}
>
<CartesianGrid strokeDasharray="3 3" />
<XAxis
dataKey="x"
type="number"
name={`${chartData.output_label} (model)`}
label={{
value: `${chartData.output_label} (model)`,
offset: -15,
position: "insideBottom",
}}
domain={[left, right]}
/>
<YAxis
dataKey="y"
type="number"
name={`${chartData.output_label} (data)`}
label={{
value: `${chartData.output_label} (data)`,
angle: -90,
position: "insideLeft",
offset: -50,
}}
domain={[bottom, top]}
/>
<Tooltip cursor={{ strokeDasharray: "3 3" }} />
<Scatter
data={JSON.parse(chartData.qq_plot_data)}
fill="white"
shape="cross"
/>
<Scatter data={refLine} fill="#249580" line={{ stroke: "#249580" }} />
{refAreaLeft && refAreaRight && (
<ReferenceArea
x1={refAreaLeft}
x2={refAreaRight}
strokeOpacity={0.3}
/>
)}
</ScatterChart>
</ResponsiveContainer>
</div>
);
};
function ShowMetrics({ metric }) {
return Object.entries(metric).map(([key, value], index) => (
<p key={key} aria-label={`metric-${key}`}>
{key}: {String(value)}
</p>
));
}
export default function SuccesslyTrained({ model }: { model: MlModelRead }) {
const [selected, setSelected] = useState(0);
const [triggerDownload] = useLazyCoreMlExportMlModelRetrieveQuery();
async function handleDownload() {
const result = await triggerDownload({ model: model.id }).unwrap();
// Convert JSON to Blob
const blob = new Blob([JSON.stringify(result, null, 2)], {
type: "application/json",
});
// Create a temporary download link
const url = URL.createObjectURL(blob);
const link = document.createElement("a");
link.href = url;
link.download = `model-${model.id}.json`;
document.body.appendChild(link);
link.click();
// Cleanup
link.remove();
URL.revokeObjectURL(url);
}
Iif (model.charts.length === 0) {
return (
<div>
<p>Success, you can use this in the flowsheet</p>
</div>
);
}
const columns = model.charts.map((chart) => chart.output_label);
return (
<ScrollArea className="h-full pr-3">
<div className="flex flex-col gap-4">
<div className="flex justify-between">
<div className="flex flex-row items-center gap-3">
<p>Show testing results for </p>
<Select onValueChange={setSelected} value={selected}>
<SelectTrigger
className="w-[180px]"
aria-label="view-ml-property"
>
<SelectValue placeholder="View property" />
</SelectTrigger>
<SelectContent>
<SelectGroup>
<SelectLabel>Property</SelectLabel>
{columns.map((column, index) => (
<SelectItem
key={index}
value={index}
ariaLabel={`graph-${column}`}
>
{column}
</SelectItem>
))}
</SelectGroup>
</SelectContent>
</Select>
</div>
<Button onClick={handleDownload}>Download ml model</Button>
</div>
<Separator />
<ShowChart
chartData={model.charts[selected]}
name={columns[selected]}
/>
<Separator />
<ShowMetrics metric={model.metrics[selected]} />
</div>
</ScrollArea>
);
}
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