- Implemented a smooth curve rendering for the TauriLineChart using a cubic Bezier path. - Added a forecasting feature to project trends based on recent data points. - Updated TauriDashboardView to pass the current month for accurate forecasting. - Refactored TauriLineChart to handle actual and forecasted data points distinctly. - Introduced gradient strokes and glow effects to align with ApexCharts styling. - Enhanced user interaction with hover markers and tooltips for forecasted data. - Added a new test suite for ClinicDetailPage to ensure proper rendering and functionality.
310 lines
13 KiB
TypeScript
310 lines
13 KiB
TypeScript
/**
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* Dashboard charts — bar (تعداد بیماران) + line/area (میزان درآمد).
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*
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* The source (clinic-pro-tauri) draws these with @mui/x-charts. MUI is not used
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* in clinicpro, so they are reproduced with plain DOM + inline SVG, matching the
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* source visuals: bars #5559CE, dashed horizontal grid, y-axis ticks #858D9D,
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* x-axis labels #7E7E7E. The income line follows the ApexCharts «gradient line»
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* look instead — gradient stroke, glow, fading area and hover markers — drawn
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* from the theme tokens so it tracks light/dark mode.
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*/
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import React from 'react';
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export interface ChartPoint {
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label: string;
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value: number;
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}
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/** ~5 rounded gridline ticks covering [0, max], top → bottom. Deduped so tiny
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* integer ranges (e.g. max=1) never render repeated labels. */
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function niceTicks(max: number, count = 4): number[] {
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const safeMax = max > 0 ? max : 1;
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const rawStep = safeMax / count;
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const mag = Math.pow(10, Math.floor(Math.log10(rawStep)));
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const norm = rawStep / mag;
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const niceNorm = norm <= 1 ? 1 : norm <= 2 ? 2 : norm <= 5 ? 5 : 10;
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const step = niceNorm * mag;
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const ticks: number[] = [];
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for (let i = count; i >= 0; i--) ticks.push(Math.round(step * i));
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// collapse duplicate rounded labels (keeps gridlines proportional via ticks[0])
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const deduped = ticks.filter((t, i) => i === 0 || t !== ticks[i - 1]);
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return deduped.length >= 2 ? deduped : [ticks[0], 0];
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}
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const faNum = new Intl.NumberFormat('fa-IR');
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/** منحنی نرم از میان نقاط (کنترلپوینت وسط هر بازه — همان شکل قبلی خط). */
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function smoothPath(pts: [number, number][]): string {
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return pts
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.map((p, i) => {
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if (i === 0) return `M${p[0]},${p[1]}`;
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const prev = pts[i - 1];
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const cx = (prev[0] + p[0]) / 2;
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return `C${cx},${prev[1]} ${cx},${p[1]} ${p[0]},${p[1]}`;
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})
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.join(' ');
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}
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/**
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* ادامهٔ فرضیِ سری برای ماههایی که هنوز نرسیدهاند: برازش خطی روی حداکثر ۶ نقطهٔ
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* آخر (روند اخیر، نه کل سال) و ادامه دادن همان شیب. خروجی هرگز منفی نمیشود.
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*
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* این یک عدد واقعی نیست — نمودار آن را نقطهچین و با برچسب «پیشبینی» نشان میدهد.
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*/
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function projectTrend(actual: number[], count: number): number[] {
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const window = actual.slice(-6);
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const n = window.length;
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const meanX = (n - 1) / 2;
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const meanY = window.reduce((s, v) => s + v, 0) / n;
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let num = 0;
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let den = 0;
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window.forEach((v, i) => {
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num += (i - meanX) * (v - meanY);
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den += (i - meanX) ** 2;
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});
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const slope = den === 0 ? 0 : num / den;
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const last = actual[actual.length - 1];
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return Array.from({ length: count }, (_, k) => Math.max(0, Math.round(last + slope * (k + 1))));
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}
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/**
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* Shared plot frame: left y-axis tick column + dashed gridlines + bottom x-axis
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* labels. `render(top, bottom)` receives the plot-area vertical bounds (px kept
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* implicit via fl/percentages) and returns the plot content.
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*/
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function ChartFrame({
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ticks,
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labels,
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yWidth,
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children,
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}: {
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ticks: number[];
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labels: string[];
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yWidth: number;
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children: React.ReactNode;
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}) {
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// NOTE: styles.css ships an unlayered legacy `.flex { align-items: center }`
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// which beats Tailwind's layered `items-*` utilities, collapsing the plot
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// column to zero height. Inline `alignItems` is the only reliable override.
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return (
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<div className="h-[300px] w-full flex flex-col px-[20px] pb-[12px]" style={{ alignItems: 'stretch' }}>
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<div className="flex-1 flex min-h-0" style={{ alignItems: 'stretch' }}>
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{/* y-axis ticks, aligned to gridlines */}
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<div
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className="flex flex-col justify-between text-[14px] font-normal text-[#858D9D] text-left pl-[4px] shrink-0"
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style={{ width: yWidth, alignItems: 'flex-start' }}
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>
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{ticks.map((t, i) => (
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<span key={i} className="leading-none -translate-y-1/2 first:translate-y-0 last:translate-y-0">
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{faNum.format(t)}
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</span>
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))}
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</div>
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{/* plot area */}
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{/* overflow-hidden keeps a dense series (a 31-day month) inside the card */}
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<div className="relative flex-1 min-w-0 overflow-hidden">
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{ticks.map((_, i) => (
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<div
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key={i}
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className="absolute left-0 right-0 border-t border-dashed border-[#E7E7E7] dark:border-[#35343D]"
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style={{ top: `${(i / (ticks.length - 1)) * 100}%` }}
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/>
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))}
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{children}
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</div>
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</div>
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{/* x-axis labels */}
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<div className="flex pt-[8px]" style={{ paddingRight: yWidth, alignItems: 'flex-start' }}>
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{labels.map((l, i) => (
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<span key={i} className="flex-1 min-w-0 overflow-hidden text-center text-[10px] font-normal text-[#7E7E7E] whitespace-nowrap">
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{l}
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</span>
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))}
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</div>
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</div>
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);
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}
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/** Bar chart — thin #5559CE columns (source: BarPlot, categoryGapRatio 0.7). */
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export function TauriBarChart({ data }: { data: ChartPoint[] }) {
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if (!data.length || !data.some((d) => d.value > 0)) {
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return <EmptyChart />;
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}
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const max = Math.max(...data.map((d) => d.value), 1);
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const ticks = niceTicks(max);
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const top = ticks[0] || 1;
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return (
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<ChartFrame ticks={ticks} labels={data.map((d) => d.label)} yWidth={42}>
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{/* `min-w-0` on every column is required: without it each column's
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intrinsic min-width is the bar's own width, so a 31-day month sums to
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more than the plot width and the whole row overflows out of the card.
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The bar is therefore a fraction of its column (which leaves the gap
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between bars) and only capped at the source's 24px. */}
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<div className="absolute inset-0 flex items-stretch" style={{ alignItems: 'stretch' }}>
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{data.map((d, i) => (
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<div key={i} className="flex-1 min-w-0 flex items-end justify-center" style={{ alignItems: 'flex-end' }}>
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<div
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title={faNum.format(d.value)}
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className="w-[60%] max-w-[24px] rounded-t-[3px] bg-[#5559CE]"
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style={{
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height: `${(d.value / top) * 100}%`,
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minHeight: d.value > 0 ? 4 : 0,
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animation: `tdgrowcol .9s ${i * 0.06}s cubic-bezier(.22,.61,.36,1) both`,
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}}
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/>
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</div>
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))}
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</div>
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<style>{`@keyframes tdgrowcol{from{height:0}}`}</style>
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</ChartFrame>
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);
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}
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/**
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* Line + area chart in the ApexCharts «gradient line» style: a smooth curve whose
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* stroke runs through a horizontal gradient (--primary → --accent), a soft glow
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* beneath it, a fading area fill, and markers + tooltip that appear on hover.
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*
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* Still hand-drawn SVG — no charting dependency. The plot is scaled non-uniformly
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* (`preserveAspectRatio="none"`), so anything that must stay round (markers) or
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* readable (tooltip) lives in an HTML overlay positioned in percentages instead.
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*/
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export function TauriLineChart({ data, actualCount }: { data: ChartPoint[]; actualCount?: number }) {
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if (data.length < 2 || !data.some((d) => d.value > 0)) {
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return <EmptyChart />;
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}
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// ماههای نیامده صفر برمیگردند؛ رسمکردنشان یک خط صاف زشت تا انتهای سال میسازد.
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// بهجای آن، از آخرین دادهٔ واقعی به بعد روند را ادامه میدهیم و نقطهچین میکشیم.
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const nActual = Math.min(actualCount ?? data.length, data.length);
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const hasForecast = nActual >= 2 && nActual < data.length;
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const values = hasForecast
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? [...data.slice(0, nActual).map((d) => d.value), ...projectTrend(data.slice(0, nActual).map((d) => d.value), data.length - nActual)]
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: data.map((d) => d.value);
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const max = Math.max(...values, 1);
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const ticks = niceTicks(max);
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const top = ticks[0] || 1;
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// SVG plot: 0..100 in both axes, non-uniform scaling (path has no text).
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const W = 100;
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const H = 100;
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const stepX = data.length > 1 ? W / (data.length - 1) : W;
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const pts = values.map((v, i) => [i * stepX, H - (v / top) * H] as [number, number]);
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// خط پیشبینی از آخرین نقطهٔ واقعی شروع میشود تا وصلهی دو بخش دیده نشود.
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const solid = smoothPath(hasForecast ? pts.slice(0, nActual) : pts);
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const dashed = hasForecast ? smoothPath(pts.slice(nActual - 1)) : '';
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const areaPts = hasForecast ? pts.slice(0, nActual) : pts;
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const area = `${smoothPath(areaPts)} L${areaPts[areaPts.length - 1][0]},${H} L${areaPts[0][0]},${H} Z`;
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return (
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<ChartFrame ticks={ticks} labels={data.map((x) => x.label)} yWidth={64}>
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<svg
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className="absolute inset-0 h-full w-full overflow-visible"
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viewBox={`0 0 ${W} ${H}`}
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preserveAspectRatio="none"
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>
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<defs>
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{/* رنگِ خط در طول محور افقی از برند به اکسنت میرود (سبک دموی apex) */}
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<linearGradient id="tdIncomeStroke" x1="0" y1="0" x2="1" y2="0">
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<stop offset="0%" stopColor="var(--primary)" />
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<stop offset="55%" stopColor="var(--primary-600)" />
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<stop offset="100%" stopColor="var(--accent)" />
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</linearGradient>
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<linearGradient id="tdIncomeGrad" x1="0" y1="0" x2="0" y2="1">
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<stop offset="0%" stopColor="var(--primary)" stopOpacity={0.22} />
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<stop offset="100%" stopColor="var(--primary)" stopOpacity={0} />
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</linearGradient>
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<filter id="tdIncomeGlow" x="-20%" y="-40%" width="140%" height="200%">
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<feDropShadow dx="0" dy="4" stdDeviation="4" floodColor="var(--primary)" floodOpacity="0.28" />
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</filter>
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</defs>
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<path d={area} fill="url(#tdIncomeGrad)" />
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{hasForecast && (
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<path
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className="td-forecast"
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d={dashed}
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fill="none"
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stroke="var(--accent)"
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strokeWidth={3}
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strokeLinecap="round"
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strokeLinejoin="round"
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strokeOpacity={0.75}
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vectorEffect="non-scaling-stroke"
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/>
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)}
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<path
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d={solid}
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fill="none"
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stroke="url(#tdIncomeStroke)"
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strokeWidth={3}
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strokeLinecap="round"
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strokeLinejoin="round"
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vectorEffect="non-scaling-stroke"
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filter="url(#tdIncomeGlow)"
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style={{ strokeDasharray: 1200, animation: 'tddraw 1.1s var(--ease) both' }}
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/>
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</svg>
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{hasForecast && (
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<span
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className="absolute top-0 left-0 rounded-[var(--r-pill)] px-2 py-[3px] text-[10.5px] font-bold"
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style={{ background: 'var(--accent-bg)', color: 'var(--accent-600)' }}
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>
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نقطهچین: پیشبینی
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</span>
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)}
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{/* لایهٔ تعامل: هر ستون یک نقطه را هاور میکند (بدون state، فقط CSS) */}
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<div className="absolute inset-0 flex" style={{ alignItems: 'stretch' }}>
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{data.map((p, i) => {
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const isForecast = hasForecast && i >= nActual;
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return (
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<div key={i} className="td-hit relative flex-1 min-w-0">
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<span
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className="td-dot absolute block rounded-full border-2 border-[var(--surface)]"
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style={{
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width: 10,
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height: 10,
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background: isForecast ? 'var(--accent)' : 'var(--primary)',
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left: `${(i * stepX / W) * 100}%`,
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top: `${(pts[i][1] / H) * 100}%`,
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transform: 'translate(-50%, -50%)',
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}}
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/>
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<span
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className="td-tip absolute whitespace-nowrap rounded-[var(--r-xs)] px-2 py-1 text-[11px] font-bold"
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style={{
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left: `${(i * stepX / W) * 100}%`,
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top: `${(pts[i][1] / H) * 100}%`,
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transform: 'translate(-50%, calc(-100% - 12px))',
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background: isForecast ? 'var(--accent)' : 'var(--text)',
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color: '#fff',
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boxShadow: 'var(--shadow)',
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}}
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>
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{isForecast ? `پیشبینی: ${faNum.format(values[i])}` : faNum.format(p.value)}
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</span>
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</div>
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);
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})}
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</div>
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<style>{`
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@keyframes tddraw { from { stroke-dashoffset: 1200 } to { stroke-dashoffset: 0 } }
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/* نقطهچینِ بخش پیشبینی — با non-scaling-stroke در محور کشیده نمیشود */
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.td-forecast { stroke-dasharray: 0.1 7; stroke-linecap: round; }
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.td-dot, .td-tip { opacity: 0; transition: opacity .14s var(--ease); pointer-events: none; }
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.td-hit:hover .td-dot, .td-hit:hover .td-tip { opacity: 1; }
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`}</style>
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</ChartFrame>
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);
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}
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function EmptyChart() {
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return (
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<div className="h-[300px] w-full grid place-items-center text-[13px] text-[#7E7E7E]">
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دادهای برای نمایش نیست
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</div>
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);
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}
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