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* Report — read-only data viewer with export capabilities.
*
* Combines a filter bar, a summary section (cards), and a detail DataTable.
* Designed for print/export-oriented display of aggregated data.
*/
import {Column, DataTable, Panel, Skeleton, Toolbar} from '../../primereact/index.js';
import type {IEnrichedSchema} from '@feasibleone/blong';
import {useState} from 'react';
import {useAction} from '../../hooks/useAction.js';
import {Button} from '../Button/Button.js';
import {Form} from '../Form/Form.js';
export interface IReportColumn {
field: string;
header?: string;
sortable?: boolean;
width?: string | number;
/** Aggregate function for footer */
aggregate?: 'sum' | 'count' | 'avg';
}
export interface IReportSummaryMetric {
label: string;
/** Field path from the report data */
field: string;
icon?: string;
/** Color class */
color?: 'success' | 'warn' | 'danger' | 'info';
}
export interface IReportProps {
/** Action name returning report data */
dataAction?: string;
/** Schema for the filter form */
filterSchema?: IEnrichedSchema;
/** Initial filter values */
defaultFilter?: Record<string, unknown>;
/** Columns for the detail table */
columns?: IReportColumn[];
/** Summary metric definitions shown above the table */
metrics?: IReportSummaryMetric[];
/** Title */
title?: string;
/** Enable CSV/XLS/PDF export buttons */
exportable?: boolean;
className?: string;
}
type ReportRow = Record<string, unknown>;
export function Report({
dataAction = '',
filterSchema,
defaultFilter,
columns = [],
metrics = [],
title,
exportable = true,
className = '',
}: IReportProps) {
const [filter, setFilter] = useState<Record<string, unknown>>(defaultFilter ?? {});
const {data, loading, refetch} = useAction<{
rows: ReportRow[];
summary?: Record<string, unknown>;
}>(dataAction, 'query', filter);
const rows: ReportRow[] = data?.rows ?? [];
const summary = data?.summary ?? {};
const exportCSV = () => {
if (!rows.length) return;
const headers = columns.map(c => c.header ?? c.field).join(',');
const body = rows
.map(r => columns.map(c => JSON.stringify(r[c.field] ?? '')).join(','))
.join('\n');
const blob = new Blob([`${headers}\n${body}`], {type: 'text/csv'});
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `${title ?? 'report'}.csv`;
a.click();
URL.revokeObjectURL(url);
};
return (
<div className={`blong-report ${className}`}>
{/* Filter form */}
{filterSchema && (
<Panel
header="Filters"
toggleable
collapsed={!defaultFilter}
className="blong-report-filters"
>
<Form
schema={filterSchema}
value={filter}
onChange={setFilter}
readOnly={false}
loading={loading}
/>
<Button
label="Run Report"
icon="pi pi-play"
onClick={() => refetch?.()}
loading={loading}
className="blong-report-run"
/>
</Panel>
)}
{/* Summary metrics */}
{metrics.length > 0 && (
<div className="blong-report-metrics">
{metrics.map(metric => (
<div
key={metric.field}
className={`blong-report-metric blong-report-metric--${metric.color ?? 'info'}`}
>
{metric.icon && (
<i className={`pi ${metric.icon} blong-report-metric__icon`} />
)}
<div className="blong-report-metric__value">
{loading ? (
<Skeleton
width="60px"
height="1.5rem"
/>
) : (
String(
summary[metric.field] ??
rows.reduce(
(acc, r) => acc + Number(r[metric.field] ?? 0),
0,
),
)
)}
</div>
<div className="blong-report-metric__label">{metric.label}</div>
</div>
))}
</div>
)}
{/* Data table */}
<div className="blong-report-table">
<Toolbar
left={title ? <h3 className="blong-report-title">{title}</h3> : undefined}
right={
<div>
<Button
icon="pi pi-refresh"
className="p-button-text"
onClick={() => refetch?.()}
tooltip="Refresh"
/>
{exportable && (
<Button
icon="pi pi-download"
className="p-button-text"
onClick={exportCSV}
tooltip="Export CSV"
/>
)}
</div>
}
className="blong-report-toolbar"
/>
<DataTable
value={rows}
loading={loading}
sortMode="multiple"
removableSort
scrollable
scrollHeight="flex"
paginator
rows={50}
rowsPerPageOptions={[25, 50, 100, 500]}
emptyMessage="No data."
size="small"
className="blong-report-dt"
>
{columns.map(col => (
<Column
key={col.field}
field={col.field}
header={col.header ?? col.field}
sortable={col.sortable !== false}
style={col.width ? {width: col.width} : undefined}
footer={
col.aggregate === 'sum'
? String(
rows.reduce(
(acc, r) => acc + Number(r[col.field] ?? 0),
0,
),
)
: col.aggregate === 'count'
? String(rows.length)
: undefined
}
/>
))}
</DataTable>
</div>
</div>
);
}
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