feat: enhance Tauri charts with smooth curves and forecasting

- 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.

assets/admin/components/dashboard/TauriCharts.tsx

@@ -4,7 +4,9 @@
  * The source (clinic-pro-tauri) draws these with @mui/x-charts. MUI is not used
  * in clinicpro, so they are reproduced with plain DOM + inline SVG, matching the
  * source visuals: bars #5559CE, dashed horizontal grid, y-axis ticks #858D9D,
- * x-axis labels #7E7E7E, and a line #5559CE over a #3A6FF8 gradient area.
+ * x-axis labels #7E7E7E. The income line follows the ApexCharts «gradient line»
+ * look instead — gradient stroke, glow, fading area and hover markers — drawn
+ * from the theme tokens so it tracks light/dark mode.
  */
 import React from 'react';
 
@@ -31,6 +33,40 @@ function niceTicks(max: number, count = 4): number[] {
 
 const faNum = new Intl.NumberFormat('fa-IR');
 
+/** منحنی نرم از میان نقاط (کنترل‌پوینت وسط هر بازه — همان شکل قبلی خط). */
+function smoothPath(pts: [number, number][]): string {
+  return pts
+    .map((p, i) => {
+      if (i === 0) return `M${p[0]},${p[1]}`;
+      const prev = pts[i - 1];
+      const cx = (prev[0] + p[0]) / 2;
+      return `C${cx},${prev[1]} ${cx},${p[1]} ${p[0]},${p[1]}`;
+    })
+    .join(' ');
+}
+
+/**
+ * ادامهٔ فرضیِ سری برای ماه‌هایی که هنوز نرسیده‌اند: برازش خطی روی حداکثر ۶ نقطهٔ
+ * آخر (روند اخیر، نه کل سال) و ادامه دادن همان شیب. خروجی هرگز منفی نمی‌شود.
+ *
+ * این یک عدد واقعی نیست — نمودار آن را نقطه‌چین و با برچسب «پیش‌بینی» نشان می‌دهد.
+ */
+function projectTrend(actual: number[], count: number): number[] {
+  const window = actual.slice(-6);
+  const n = window.length;
+  const meanX = (n - 1) / 2;
+  const meanY = window.reduce((s, v) => s + v, 0) / n;
+  let num = 0;
+  let den = 0;
+  window.forEach((v, i) => {
+    num += (i - meanX) * (v - meanY);
+    den += (i - meanX) ** 2;
+  });
+  const slope = den === 0 ? 0 : num / den;
+  const last = actual[actual.length - 1];
+  return Array.from({ length: count }, (_, k) => Math.max(0, Math.round(last + slope * (k + 1))));
+}
+
 /**
  * Shared plot frame: left y-axis tick column + dashed gridlines + bottom x-axis
  * labels. `render(top, bottom)` receives the plot-area vertical bounds (px kept
@@ -124,12 +160,27 @@ export function TauriBarChart({ data }: { data: ChartPoint[] }) {
   );
 }
 
-/** Line + area chart — #5559CE line over a #3A6FF8 gradient (source: LinePlot). */
-export function TauriLineChart({ data }: { data: ChartPoint[] }) {
+/**
+ * Line + area chart in the ApexCharts «gradient line» style: a smooth curve whose
+ * stroke runs through a horizontal gradient (--primary → --accent), a soft glow
+ * beneath it, a fading area fill, and markers + tooltip that appear on hover.
+ *
+ * Still hand-drawn SVG — no charting dependency. The plot is scaled non-uniformly
+ * (`preserveAspectRatio="none"`), so anything that must stay round (markers) or
+ * readable (tooltip) lives in an HTML overlay positioned in percentages instead.
+ */
+export function TauriLineChart({ data, actualCount }: { data: ChartPoint[]; actualCount?: number }) {
   if (data.length < 2 || !data.some((d) => d.value > 0)) {
     return <EmptyChart />;
   }
-  const values = data.map((d) => d.value);
+  // ماه‌های نیامده صفر برمی‌گردند؛ رسم‌کردنشان یک خط صاف زشت تا انتهای سال می‌سازد.
+  // به‌جای آن، از آخرین دادهٔ واقعی به بعد روند را ادامه می‌دهیم و نقطه‌چین می‌کشیم.
+  const nActual = Math.min(actualCount ?? data.length, data.length);
+  const hasForecast = nActual >= 2 && nActual < data.length;
+  const values = hasForecast
+    ? [...data.slice(0, nActual).map((d) => d.value), ...projectTrend(data.slice(0, nActual).map((d) => d.value), data.length - nActual)]
+    : data.map((d) => d.value);
+
   const max = Math.max(...values, 1);
   const ticks = niceTicks(max);
   const top = ticks[0] || 1;
@@ -139,15 +190,11 @@ export function TauriLineChart({ data }: { data: ChartPoint[] }) {
   const H = 100;
   const stepX = data.length > 1 ? W / (data.length - 1) : W;
   const pts = values.map((v, i) => [i * stepX, H - (v / top) * H] as [number, number]);
-  const d = pts
-    .map((p, i) => {
-      if (i === 0) return `M${p[0]},${p[1]}`;
-      const prev = pts[i - 1];
-      const cx = (prev[0] + p[0]) / 2;
-      return `C${cx},${prev[1]} ${cx},${p[1]} ${p[0]},${p[1]}`;
-    })
-    .join(' ');
-  const area = `${d} L${pts[pts.length - 1][0]},${H} L${pts[0][0]},${H} Z`;
+  // خط پیش‌بینی از آخرین نقطهٔ واقعی شروع می‌شود تا وصله‌ی دو بخش دیده نشود.
+  const solid = smoothPath(hasForecast ? pts.slice(0, nActual) : pts);
+  const dashed = hasForecast ? smoothPath(pts.slice(nActual - 1)) : '';
+  const areaPts = hasForecast ? pts.slice(0, nActual) : pts;
+  const area = `${smoothPath(areaPts)} L${areaPts[areaPts.length - 1][0]},${H} L${areaPts[0][0]},${H} Z`;
 
   return (
     <ChartFrame ticks={ticks} labels={data.map((x) => x.label)} yWidth={64}>
@@ -157,22 +204,98 @@ export function TauriLineChart({ data }: { data: ChartPoint[] }) {
         preserveAspectRatio="none"
       >
         <defs>
-          <linearGradient id="tdIncomeGrad" x1="0" y1="0" x2="0" y2="1">
-            <stop offset="0%" stopColor="#3A6FF8" stopOpacity={0.1} />
-            <stop offset="100%" stopColor="#3A6FF8" stopOpacity={0.02} />
+          {/* رنگِ خط در طول محور افقی از برند به اکسنت می‌رود (سبک دموی apex) */}
+          <linearGradient id="tdIncomeStroke" x1="0" y1="0" x2="1" y2="0">
+            <stop offset="0%" stopColor="var(--primary)" />
+            <stop offset="55%" stopColor="var(--primary-600)" />
+            <stop offset="100%" stopColor="var(--accent)" />
           </linearGradient>
+          <linearGradient id="tdIncomeGrad" x1="0" y1="0" x2="0" y2="1">
+            <stop offset="0%" stopColor="var(--primary)" stopOpacity={0.22} />
+            <stop offset="100%" stopColor="var(--primary)" stopOpacity={0} />
+          </linearGradient>
+          <filter id="tdIncomeGlow" x="-20%" y="-40%" width="140%" height="200%">
+            <feDropShadow dx="0" dy="4" stdDeviation="4" floodColor="var(--primary)" floodOpacity="0.28" />
+          </filter>
         </defs>
         <path d={area} fill="url(#tdIncomeGrad)" />
+        {hasForecast && (
+          <path
+            className="td-forecast"
+            d={dashed}
+            fill="none"
+            stroke="var(--accent)"
+            strokeWidth={3}
+            strokeLinecap="round"
+            strokeLinejoin="round"
+            strokeOpacity={0.75}
+            vectorEffect="non-scaling-stroke"
+          />
+        )}
         <path
-          d={d}
+          d={solid}
           fill="none"
-          stroke="#5559CE"
+          stroke="url(#tdIncomeStroke)"
           strokeWidth={3}
           strokeLinecap="round"
           strokeLinejoin="round"
           vectorEffect="non-scaling-stroke"
+          filter="url(#tdIncomeGlow)"
+          style={{ strokeDasharray: 1200, animation: 'tddraw 1.1s var(--ease) both' }}
         />
       </svg>
+
+      {hasForecast && (
+        <span
+          className="absolute top-0 left-0 rounded-[var(--r-pill)] px-2 py-[3px] text-[10.5px] font-bold"
+          style={{ background: 'var(--accent-bg)', color: 'var(--accent-600)' }}
+        >
+          نقطه‌چین: پیش‌بینی
+        </span>
+      )}
+
+      {/* لایهٔ تعامل: هر ستون یک نقطه را هاور می‌کند (بدون state، فقط CSS) */}
+      <div className="absolute inset-0 flex" style={{ alignItems: 'stretch' }}>
+        {data.map((p, i) => {
+          const isForecast = hasForecast && i >= nActual;
+          return (
+            <div key={i} className="td-hit relative flex-1 min-w-0">
+              <span
+                className="td-dot absolute block rounded-full border-2 border-[var(--surface)]"
+                style={{
+                  width: 10,
+                  height: 10,
+                  background: isForecast ? 'var(--accent)' : 'var(--primary)',
+                  left: `${(i * stepX / W) * 100}%`,
+                  top: `${(pts[i][1] / H) * 100}%`,
+                  transform: 'translate(-50%, -50%)',
+                }}
+              />
+              <span
+                className="td-tip absolute whitespace-nowrap rounded-[var(--r-xs)] px-2 py-1 text-[11px] font-bold"
+                style={{
+                  left: `${(i * stepX / W) * 100}%`,
+                  top: `${(pts[i][1] / H) * 100}%`,
+                  transform: 'translate(-50%, calc(-100% - 12px))',
+                  background: isForecast ? 'var(--accent)' : 'var(--text)',
+                  color: '#fff',
+                  boxShadow: 'var(--shadow)',
+                }}
+              >
+                {isForecast ? `پیش‌بینی: ${faNum.format(values[i])}` : faNum.format(p.value)}
+              </span>
+            </div>
+          );
+        })}
+      </div>
+
+      <style>{`
+        @keyframes tddraw { from { stroke-dashoffset: 1200 } to { stroke-dashoffset: 0 } }
+        /* نقطه‌چینِ بخش پیش‌بینی — با non-scaling-stroke در محور کشیده نمی‌شود */
+        .td-forecast { stroke-dasharray: 0.1 7; stroke-linecap: round; }
+        .td-dot, .td-tip { opacity: 0; transition: opacity .14s var(--ease); pointer-events: none; }
+        .td-hit:hover .td-dot, .td-hit:hover .td-tip { opacity: 1; }
+      `}</style>
     </ChartFrame>
   );
 }