Updated SVG export function for a better total ratio order

README.md

@@ -8,7 +8,7 @@ Interactive Python Dash app to visualize, analyze, and explore your jogging or r
 
 SVG-Export:
 <p align="left">
-    <img src="2025-09-15_HH_Run_10.90Km_overlay.png" alt="Description" width="400">
+    <img src="2026-05-17_FRA_Run_12.02Km_overlay.png" alt="Description" width="400">
 </p>
 This SVG can then be overlaid on another image (Strava‑inspired).
 

jogging_dashboard_browser_app.py

@@ -622,136 +622,126 @@ def create_info_banner(df):
 # EXPORT SUMMARY IMAGE (SVG)
 # -----------------------------------------------------------------------------
 def create_strava_style_svg(df, total_distance_km=None, total_time=None, avg_pace=None,
-                           width=800, height=600, padding=50):
+                           padding_pct=0.12):
     """
     Erstellt ein STRAVA-style SVG mit transparentem Hintergrund
     """
 
-    # SVG Root Element
-    svg = Element('svg')
-    svg.set('width', str(width))
-    svg.set('height', str(height))
-    svg.set('xmlns', 'http://www.w3.org/2000/svg')
-    svg.set('style', 'background: transparent;')
-
-    # Route-Bereich (links 60% der Breite)
-    route_width = width * 0.6
-    route_height = height - 2 * padding
-
-    # Koordinaten normalisieren für den Route-Bereich
     lats = df['lat'].values
     lons = df['lon'].values
 
-    # Bounding Box der Route
     lat_min, lat_max = lats.min(), lats.max()
     lon_min, lon_max = lons.min(), lons.max()
+    lat_range = lat_max - lat_min if lat_max != lat_min else 1e-6
+    lon_range = lon_max - lon_min if lon_max != lon_min else 1e-6
 
-    # Aspect Ratio beibehalten
+    # Ziel: Route-Bereich soll in etwa 500×500px passen (quadratisch)
-    lat_range = lat_max - lat_min
+    # Skalierung: Route maximal einpassen, Seitenverhältnis erhalten
-    lon_range = lon_max - lon_min
+    target_size = 500
-
+    scale_x     = target_size / lon_range
-    if lat_range == 0 or lon_range == 0:
+    scale_y     = target_size / lat_range
-        raise ValueError("Route hat keine Variation in Koordinaten")
-
-    # Skalierung berechnen
-    scale_x = (route_width - 2 * padding) / lon_range
-    scale_y = (route_height - 2 * padding) / lat_range
-
-    # Einheitliche Skalierung für korrekte Proportionen
     scale       = min(scale_x, scale_y)
 
-    # Zentrieren
+    # Tatsächliche Routengröße in Pixel
-    center_x = route_width / 2
+    route_px_w = lon_range * scale
-    center_y = height / 2
+    route_px_h = lat_range * scale
 
-    # Route-Pfad erstellen
+    # Padding in Pixel (padding_pct × Routengröße)
+    pad = max(route_px_w, route_px_h) * padding_pct
+
+    # Canvas für Route (tight + padding)
+    canvas_w = route_px_w + 2 * pad
+    canvas_h = route_px_h + 2 * pad
+
+    # Stats-Bereich rechts: feste Breite 220px
+    stats_w    = 220
+    total_w    = canvas_w + stats_w
+    total_h    = canvas_h
+
+    # Offset: Route zentriert im Canvas
+    offset_x = pad
+    offset_y = pad
+
+    def to_svg(lat, lon):
+        x = offset_x + (lon - lon_min) * scale
+        y = offset_y + (lat_max - lat) * scale
+        return x, y
+
+    # SVG Root
+    svg = Element('svg')
+    svg.set('width',   f'{total_w:.0f}')
+    svg.set('height',  f'{total_h:.0f}')
+    svg.set('xmlns',   'http://www.w3.org/2000/svg')
+    svg.set('style',   'background: transparent;')
+
+    # Route-Pfad
     path_data = []
     for i, (lat, lon) in enumerate(zip(lats, lons)):
-        # Koordinaten transformieren (Y-Achse umkehren für SVG)
+        x, y = to_svg(lat, lon)
-        x = center_x + (lon - (lon_min + lon_max) / 2) * scale
+        path_data.append(f"{'M' if i == 0 else 'L'} {x:.2f} {y:.2f}")
-        y = center_y - (lat - (lat_min + lat_max) / 2) * scale
 
-        if i == 0:
-            path_data.append(f"M {x:.2f} {y:.2f}")
-        else:
-            path_data.append(f"L {x:.2f} {y:.2f}")
-
-    # Route-Pfad zum SVG hinzufügen
     route_path = SubElement(svg, 'path')
     route_path.set('d',              ' '.join(path_data))
-    route_path.set('stroke', '#ff6909')  # Deine Routenfarbe
+    route_path.set('stroke',         '#ff6909')
     route_path.set('stroke-width',   '4')
     route_path.set('fill',           'none')
     route_path.set('stroke-linecap', 'round')
     route_path.set('stroke-linejoin','round')
 
     # Start-Punkt (grün)
-    start_x = center_x + (lons[0] - (lon_min + lon_max) / 2) * scale
+    sx, sy = to_svg(lats[0], lons[0])
-    start_y = center_y - (lats[0] - (lat_min + lat_max) / 2) * scale
+    sc = SubElement(svg, 'circle')
-    start_circle = SubElement(svg, 'circle')
+    sc.set('cx', f'{sx:.2f}'); sc.set('cy', f'{sy:.2f}')
-    start_circle.set('cx', str(start_x))
+    sc.set('r', '8'); sc.set('fill', '#4CAF50')
-    start_circle.set('cy', str(start_y))
+    sc.set('stroke', 'white'); sc.set('stroke-width', '2')
-    start_circle.set('r', '8')
-    start_circle.set('fill', '#4CAF50')  # Grün
-    start_circle.set('stroke', 'white')
-    start_circle.set('stroke-width', '2')
 
     # End-Punkt (rot)
-    end_x = center_x + (lons[-1] - (lon_min + lon_max) / 2) * scale
+    ex, ey = to_svg(lats[-1], lons[-1])
-    end_y = center_y - (lats[-1] - (lat_min + lat_max) / 2) * scale
+    ec = SubElement(svg, 'circle')
-    end_circle = SubElement(svg, 'circle')
+    ec.set('cx', f'{ex:.2f}'); ec.set('cy', f'{ey:.2f}')
-    end_circle.set('cx', str(end_x))
+    ec.set('r', '8'); ec.set('fill', '#f44336')
-    end_circle.set('cy', str(end_y))
+    ec.set('stroke', 'white'); ec.set('stroke-width', '2')
-    end_circle.set('r', '8')
-    end_circle.set('fill', '#f44336')  # Rot
-    end_circle.set('stroke', 'white')
-    end_circle.set('stroke-width', '2')
 
-    # Stats-Bereich (rechts 40% der Breite)
+    # Stats-Block: vertikal zentriert im rechten Bereich
-    stats_x = route_width + padding
-    stats_y_start = padding + 50
-
-    ## Hintergrund für Stats (optional, semi-transparent - SCHWARZE BOX)
-    #stats_bg = SubElement(svg, 'rect')
-    #stats_bg.set('x', str(stats_x - 20))
-    #stats_bg.set('y', str(stats_y_start - 30))
-    #stats_bg.set('width', str(width * 0.35))
-    #stats_bg.set('height', str(250))
-    #stats_bg.set('fill', 'rgba(0,0,0,0.7)')
-    #stats_bg.set('rx', '10')
-
-    # Stats-Text hinzufügen
     stats = [
-        ("TOTAL DISTANCE", f"{total_distance_km:.1f} km" if total_distance_km else "N/A"),
+        ("Distance", f"{total_distance_km:.1f} km" if total_distance_km else "N/A"),
-        ("TOTAL TIME", total_time or "N/A"),
+        ("Pace",     avg_pace   or "N/A"),
-        ("AVERAGE PACE", avg_pace or "N/A")
+        ("Time",     total_time or "N/A"),
     ]
 
+    n_stats       = len(stats)
+    entry_h       = 90
+    block_h       = n_stats * entry_h
+    stats_start_y = (total_h - block_h) / 2
+    stats_cx      = canvas_w + stats_w / 2   # Mitte des Stats-Bereichs
+
     for i, (label, value) in enumerate(stats):
-        y_pos = stats_y_start + i * 70
+        y_pos = stats_start_y + i * entry_h
 
-        # Label (kleinere Schrift, grau)
+        lbl = SubElement(svg, 'text')
-        label_text = SubElement(svg, 'text')
+        lbl.set('x',           f'{stats_cx:.1f}')
-        label_text.set('x', str(stats_x))
+        lbl.set('y',           f'{y_pos:.1f}')
-        label_text.set('y', str(y_pos))
+        lbl.set('font-family', 'Arial, sans-serif')
-        label_text.set('font-family', 'Arial, sans-serif')
+        lbl.set('font-size',   '18px')
-        label_text.set('font-size', '14')
+        lbl.set('font-weight', 'bold')
-        label_text.set('font-weight', 'bold')
+        lbl.set('fill',        'white')
-        label_text.set('fill', '#000000')       # TEXTFARBE  #333333
+        lbl.set('text-anchor', 'middle')
-        label_text.text = label
+        lbl.text = label
 
-        # Wert (größere Schrift, weiß)
+        val = SubElement(svg, 'text')
-        value_text = SubElement(svg, 'text')
+        val.set('x',           f'{stats_cx:.1f}')
-        value_text.set('x', str(stats_x))
+        val.set('y',           f'{y_pos + 40:.1f}')
-        value_text.set('y', str(y_pos + 25))
+        val.set('font-family', 'Arial, sans-serif')
-        value_text.set('font-family', 'Arial, sans-serif')
+        val.set('font-size',   '34px')
-        value_text.set('font-size', '24')
+        val.set('font-weight', 'bold')
-        value_text.set('font-weight', 'bold')
+        val.set('fill',        'white')
-        value_text.set('fill', 'white')          # TEXTFARBE
+        val.set('text-anchor', 'middle')
-        value_text.text = value
+        val.text = value
 
     return svg
 
+
+
 def save_svg(svg_element, filename="run_overlay.svg"):
     """SVG als Datei speichern"""
     rough_string = tostring(svg_element, 'unicode')
@@ -2794,7 +2784,8 @@ def export_summary_image(n_clicks, json_data, selected_file):
 
             # Statistiken berechnen (gleich wie im Info-Banner)
             total_distance_km = df['cum_dist_km'].iloc[-1] if 'cum_dist_km' in df.columns else 0
-            total_time_str = df['duration_hms'].iloc[-1] if 'duration_hms' in df.columns else "00:00:00"
+            total_time_raw = df['duration_hms'].iloc[-1] if 'duration_hms' in df.columns else "00:00:00"
+            total_time_str = str(total_time_raw).split(' ')[-1] if 'days' in str(total_time_raw) else str(total_time_raw)
             total_seconds = df['time_diff_sec'].iloc[-1] if 'time_diff_sec' in df.columns else 0
 
             # Pace berechnen
@@ -2812,8 +2803,7 @@ def export_summary_image(n_clicks, json_data, selected_file):
                 total_distance_km=total_distance_km,
                 total_time=total_time_str,
                 avg_pace=avg_pace,
-                width=800,
+                padding_pct=0.12
-                height=600
             )
 
             # SVG speichern