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/*
* SPDX-FileCopyrightText: 2021-2023 The Refinery Authors <https://refinery.tools/>
*
* SPDX-License-Identifier: EPL-2.0
*/
import Box from '@mui/material/Box';
import Stack from '@mui/material/Stack';
import {
DataGrid,
type GridRenderCellParams,
type GridColDef,
} from '@mui/x-data-grid';
import { observer } from 'mobx-react-lite';
import { useMemo } from 'react';
import type GraphStore from '../graph/GraphStore';
import RelationName from '../graph/RelationName';
import TableToolbar from './TableToolbar';
import ValueRenderer from './ValueRenderer';
interface Row {
nodes: string[];
value: string;
}
declare module '@mui/x-data-grid' {
// Declare our custom prop type for `TableToolbar`.
interface ToolbarPropsOverrides {
graph: GraphStore;
}
interface NoRowsOverlayPropsOverrides {
graph: GraphStore;
}
interface NoResultsOverlayPropsOverrides {
graph: GraphStore;
}
}
const noSymbolMessage =
'Please select a symbol from the list to view its interpretation';
function NoRowsOverlay({
graph: { selectedSymbol },
}: {
graph: GraphStore;
}): JSX.Element {
return (
<Stack height="100%" alignItems="center" justifyContent="center">
{selectedSymbol === undefined ? (
noSymbolMessage
) : (
<span>
Interpretation of <RelationName metadata={selectedSymbol} /> is empty
</span>
)}
</Stack>
);
}
function NoResultsOverlay({
graph: { selectedSymbol },
}: {
graph: GraphStore;
}): JSX.Element {
return (
<Stack height="100%" alignItems="center" justifyContent="center">
{selectedSymbol === undefined ? (
noSymbolMessage
) : (
<span>
No results in the interpretation of{' '}
<RelationName metadata={selectedSymbol} />
</span>
)}
</Stack>
);
}
function TableArea({ graph }: { graph: GraphStore }): JSX.Element {
const {
selectedSymbol,
semantics: { nodes, partialInterpretation },
} = graph;
const symbolName = selectedSymbol?.name;
const arity = selectedSymbol?.arity ?? 0;
const columns = useMemo<GridColDef<Row>[]>(() => {
const defs: GridColDef<Row>[] = [];
for (let i = 0; i < arity; i += 1) {
defs.push({
field: `n${i}`,
headerName: String(i + 1),
valueGetter: (_, row) => row.nodes[i] ?? '',
flex: 1,
});
}
defs.push({
field: 'value',
headerName: 'Value',
flex: 1,
renderCell: ({ value }: GridRenderCellParams<Row, string>) => (
<ValueRenderer value={value} />
),
});
return defs;
}, [arity]);
const rows = useMemo<Row[]>(() => {
if (symbolName === undefined) {
return [];
}
const interpretation = partialInterpretation[symbolName] ?? [];
return interpretation.map((tuple) => {
const nodeNames: string[] = [];
for (let i = 0; i < arity; i += 1) {
const index = tuple[i];
if (typeof index === 'number') {
const node = nodes[index];
if (node !== undefined) {
nodeNames.push(node.name);
}
}
}
return {
nodes: nodeNames,
value: String(tuple[arity]),
};
});
}, [arity, nodes, partialInterpretation, symbolName]);
return (
<Box
width="100%"
height="100%"
p={1}
sx={(theme) => ({
'.MuiDataGrid-withBorderColor': {
borderColor:
theme.palette.mode === 'dark'
? theme.palette.divider
: theme.palette.outer.border,
},
})}
>
<DataGrid
slots={{
toolbar: TableToolbar,
noRowsOverlay: NoRowsOverlay,
noResultsOverlay: NoResultsOverlay,
}}
slotProps={{
toolbar: {
graph,
},
noRowsOverlay: {
graph,
},
noResultsOverlay: {
graph,
},
}}
initialState={{ density: 'compact' }}
rowSelection={false}
columns={columns}
rows={rows}
getRowId={(row) => row.nodes.join(',')}
/>
</Box>
);
}
export default observer(TableArea);
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