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import { useEffect, useMemo, useState } from "react";
import { useSearchParams } from "react-router-dom";
import { AutoSelectInput } from "@/ahuora-design-system/ui/auto-select-input";
import { Badge } from "@/ahuora-design-system/ui/badge";
import { Button } from "@/ahuora-design-system/ui/button";
import {
Finding,
MlModelRead,
ObjectTypeEnum,
useCoreMlCreateMutation,
useCoreMlcolumnmappingListQuery,
useCoreMlDestroyMutation,
useCoreMlListQuery,
useCoreMlPartialUpdateMutation,
useDiagnosticsEvaluateSimulationObjectPropertyRulesQuery,
useUnitopsSimulationobjectsRetrieveQuery,
} from "@/api/apiStore.gen";
import { ObjectType } from "@/data/ObjectTypes.gen";
import objs from "@/data/unitOpConfigs";
import { useCurrentObjectId } from "@/hooks/flowsheetObjects";
import { ToolTipCover } from "../../../../../ahuora-design-system/ui/tooltip";
import { RuleFinding } from "../../Diagnostics/useRuleValidation";
import MachineLearningData from "../../PropertiesSidebar/MachineLearning/MachineLearningData";
import { OrderedPropertyList } from "../../PropertiesSidebar/PropertyPanel/Properties";
export const MLProperties = () => {
const currentObjectId = useCurrentObjectId();
const currentObject = useUnitopsSimulationobjectsRetrieveQuery({
id: currentObjectId,
}).data;
const { data: modelSet } = useCoreMlListQuery({
simulationObject: currentObjectId,
});
const [createMLModel] = useCoreMlCreateMutation();
const isMachineLearningBlock =
currentObject?.objectType === ObjectTypeEnum.MachineLearningBlock;
const disableAddMLModel =
isMachineLearningBlock && (modelSet?.length ?? 0) > 0;
const addButtonTooltip = disableAddMLModel
? "Only one machine learning model can be attached."
: "Add a machine learning model.";
const displayedModels = useMemo(() => {
if (!modelSet) {
return [];
}
const sortedModels = [...modelSet].sort((a, b) => a.id - b.id);
if (!isMachineLearningBlock) {
return sortedModels;
}
return sortedModels
.sort((a, b) => Number(modelHasState(b)) - Number(modelHasState(a)))
.slice(0, 1);
}, [isMachineLearningBlock, modelSet]);
const onAddMLModel = () => {
createMLModel({
createMlModel: {
simulationObject: currentObjectId,
surrogate_model: {},
},
});
};
const mapMLModelsFn = (modelSet) => {
return [...modelSet] // clone to avoid mutating original
.sort((a, b) => a.id - b.id)
.map((model) => {
return <MLCard key={model.id} model={model} />;
});
};
return (
<div className="flex flex-col gap-2">
{mapMLModelsFn(displayedModels)}
{!isMachineLearningBlock && (
<ToolTipCover asChild content={addButtonTooltip}>
<Button
variant="secondary"
onClick={onAddMLModel}
disabled={disableAddMLModel}
>
<Plus aria-label="Add ML Model" /> Add ML Model
</Button>
</ToolTipCover>
)}
</div>
);
};
const objects = objs as Record<string, ObjectType>;
function modelHasState(model: MlModelRead): boolean {
return Boolean(
model.csv_file_name ||
model.csv_upload_session ||
model.csv_headers?.length ||
model.charts?.length ||
model.metrics?.length ||
Object.keys(model.surrogate_model ?? {}).length,
);
}
// Convert backend Finding to UI RuleFinding format for frontend display give it an id etc
const toRuleFinding = (finding: Finding): RuleFinding => ({
id:
finding.id ??
`${finding.ruleReference ?? "finding"}-${finding.propertyId ?? "property"}-${finding.title}`,
severity: finding.severity,
title: finding.title,
description: finding.description,
ruleReference: finding.ruleReference ?? undefined,
propertyKey: finding.propertyKey ?? undefined,
});
export function MLCard({
model,
showTop,
}: {
model: MlModelRead;
showTop?: boolean;
}) {
const [searchParams] = useSearchParams();
const currentObjectId = +(searchParams.get("object") || 0);
const [updateModel] = useCoreMlPartialUpdateMutation();
const [deleteModel] = useCoreMlDestroyMutation();
const [openMLDialog, setOpenMLDialog] = useState(false);
const { data: currentObj } = useUnitopsSimulationobjectsRetrieveQuery(
{ id: currentObjectId },
{ skip: !currentObjectId }, // Skip the query if no valid ID
);
const { data: columnMappings } = useCoreMlcolumnmappingListQuery();
const objectSchema = currentObj?.objectType
? objects[currentObj.objectType]
: undefined;
const propertySetGroups = objectSchema?.propertySetGroups;
const schema = propertySetGroups
? Object.values(propertySetGroups)[0]
: undefined;
const progress = model.active_step ?? 0;
const propertySet = currentObj?.properties;
Iif (showTop == undefined) showTop = true;
useEffect(() => {
setOpenMLDialog(false);
}, [currentObjectId]);
const { data: objectRuleFindings } =
useDiagnosticsEvaluateSimulationObjectPropertyRulesQuery(
{
flowsheet: currentObj?.flowsheet ?? 0,
simulationObjectId: currentObj?.id ?? 0,
},
{
skip: !currentObj?.id || !currentObj?.flowsheet,
},
);
const onUpdateName = (value: string) => {
updateModel({
id: model.id,
patchedPatchMlModel: {
displayName: value,
},
});
};
const onDeleteModel = () => {
deleteModel({
id: model.id,
});
};
const ruleFindingsByPropertyKey = useMemo(() => {
// We group once here, then each property row reads only its own findings.
const groupedFindings: Record<string, RuleFinding[]> = {};
objectRuleFindings?.findings?.forEach((finding) => {
if (!finding.propertyKey) {
// Object-level findings (no propertyKey) are not shown inline on a field.
return;
}
if (!groupedFindings[finding.propertyKey]) {
groupedFindings[finding.propertyKey] = [];
}
groupedFindings[finding.propertyKey].push(toRuleFinding(finding));
});
return groupedFindings;
}, [objectRuleFindings?.findings]);
const mapMLPropsFn = (model, propertySet) => {
if (!schema) {
return null;
}
const mappingsForModel =
columnMappings?.filter((mapping) => mapping.model === model.id) || [];
const mappedPropertyInfoIds = new Set(
mappingsForModel
.map((mapping) => mapping.propertyInfo)
.filter((id): id is number => id != null),
);
const mlProps = propertySet.ContainedProperties.filter((property) =>
mappedPropertyInfoIds.has(property.id),
);
return (
<>
<OrderedPropertyList
properties={mlProps}
schema={schema}
ruleFindingsByPropertyKey={ruleFindingsByPropertyKey}
/>
</>
);
};
return (
<div className="bg-muted rounded-lg pb-1 min-h-full">
{showTop && (
<>
<div
className="flex flex-row p-2 justify-between bg-accent items-center gap-2 rounded-t-lg"
aria-label="ml-model-div"
>
<Badge className="max-w-100" aria-label="ml-model-name">
<AutoSelectInput
aria-label="ml-model-name"
textSize="text-xs"
textColor="text-primary"
width="max-w-500"
value={model.displayName}
onUpdateValue={onUpdateName}
/>
</Badge>
<div className="flex items-center gap-2 ml-auto">
<Button
className="h-6 text-xs"
aria-label="view-ml-model"
onClick={() => setOpenMLDialog(true)}
>
{progress !== 0 ? "View" : "Set-up"}
</Button>
{currentObj?.objectType !==
ObjectTypeEnum.MachineLearningBlock && (
<CircleX
size={16}
className="cursor-pointer"
aria-label="delete-ml-model"
onClick={onDeleteModel}
/>
)}
</div>
</div>
<MachineLearningData
open={openMLDialog}
onOpenChange={setOpenMLDialog}
hideTrigger={true}
model={model}
/>
</>
)}
<div
className={`rounded-md flex flex-col -mx-2 -mt-6 ${currentObj?.objectType !== ObjectTypeEnum.Stream && "-mb-4"}`}
>
{mapMLPropsFn(model, propertySet || { ContainedProperties: [] })}
</div>
</div>
);
}
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