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Update app.py
Browse files
app.py
CHANGED
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@@ -271,6 +271,109 @@ class S2GeometryCalculator:
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# Initialize calculator
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calc = S2GeometryCalculator()
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# Create Gradio interface
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with gr.Blocks(title="S2 Geometry Calculator", theme=gr.themes.Soft()) as app:
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gr.Markdown("""
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@@ -278,6 +381,8 @@ with gr.Blocks(title="S2 Geometry Calculator", theme=gr.themes.Soft()) as app:
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A comprehensive tool for working with Google's S2 spherical geometry library.
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S2 cells are hierarchical decompositions of the sphere useful for geographic indexing.
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""")
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with gr.Tabs():
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@@ -472,170 +577,144 @@ with gr.Blocks(title="S2 Geometry Calculator", theme=gr.themes.Soft()) as app:
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interactive=False
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)
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-
# Event handlers
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calc.cell_id_to_token,
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inputs=[cell_id_input],
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outputs=[id_to_token_output]
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)
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-
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calc.token_to_cell_id,
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inputs=[token_input],
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outputs=[token_to_id_output]
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)
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-
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-
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-
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inputs=[coord_cell_input, coord_input_type],
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outputs=[coord_output]
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)
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-
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inputs=[
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outputs=[
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)
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-
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calc.
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inputs=[info_cell_input, info_input_type],
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outputs=[cell_info_output]
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)
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-
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inputs=[info_cell_input, info_input_type],
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outputs=[neighbors_output]
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)
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-
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inputs=[viz_cell_input, viz_input_type],
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outputs=[map_output]
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)
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-
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-
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-
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# Start with default center
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m = Map(location=[12.935656, 77.543204], zoom_start=12)
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-
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colors = ['red', 'blue', 'green', 'purple', 'orange', 'darkred', 'lightred',
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'beige', 'darkblue', 'darkgreen', 'cadetblue', 'darkpurple', 'white',
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'pink', 'lightblue', 'lightgreen', 'gray', 'black', 'lightgray']
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valid_cells = 0
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total_lat, total_lng = 0, 0
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-
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for i, line in enumerate(lines):
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try:
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if input_type == "token":
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cell_id = CellId.from_token(line)
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else: # cell_id
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if isinstance(line, str) and line.startswith('0x'):
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cell_id_int = int(line, 16)
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else:
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cell_id_int = int(line)
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cell_id = CellId(cell_id_int)
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# Get cell center
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center = cell_id.to_lat_lng()
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center_lat = center.lat().degrees
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center_lng = center.lng().degrees
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total_lat += center_lat
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total_lng += center_lng
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valid_cells += 1
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# Get cell vertices
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cell = Cell(cell_id)
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vertices = []
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for j in range(4):
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vertex = cell.get_vertex(j)
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lat_lng = LatLng.from_point(vertex)
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vertices.append([lat_lng.lat().degrees, lat_lng.lng().degrees])
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# Close the polygon
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vertices.append(vertices[0])
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-
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# Use different colors for different cells
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color = colors[i % len(colors)]
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# Add cell as polygon
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folium.Polygon(
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locations=vertices,
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color=color,
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weight=2,
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fillColor=color,
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fillOpacity=0.3,
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popup=f"Cell {i+1}: {cell_id.to_token()}<br>Level: {cell_id.level()}"
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).add_to(m)
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-
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# Add center marker
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folium.Marker(
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[center_lat, center_lng],
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popup=f"Cell {i+1}: {cell_id.to_token()}",
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icon=folium.Icon(color=color, icon='info-sign')
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).add_to(m)
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except Exception as e:
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print(f"Error processing cell {i+1} ({line}): {str(e)}")
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-
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# Center map on average of all valid cells
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if valid_cells > 0:
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avg_lat = total_lat / valid_cells
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avg_lng = total_lng / valid_cells
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m.location = [avg_lat, avg_lng]
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return m
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-
def process_batch_info(batch_text, input_type):
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lines = [line.strip() for line in batch_text.split('\n') if line.strip()]
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results = []
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for i, line in enumerate(lines, 1):
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try:
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info = calc.get_cell_info(line, input_type)
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results.append(f"=== Cell {i}: {line} ===")
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results.append(info)
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results.append("")
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except Exception as e:
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results.append(f"=== Cell {i}: {line} ===")
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results.append(f"Error: {str(e)}")
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results.append("")
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return "\n".join(results)
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def process_batch_coords(batch_text, input_type):
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lines = [line.strip() for line in batch_text.split('\n') if line.strip()]
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results = []
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for i, line in enumerate(lines, 1):
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try:
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coords = calc.cell_to_latlng(line, input_type)
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results.append(f"Cell {i} ({line}): {coords}")
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except Exception as e:
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results.append(f"Cell {i} ({line}): Error - {str(e)}")
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return "\n".join(results)
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batch_info_btn.click(
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process_batch_info,
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inputs=[batch_input, batch_input_type],
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outputs=[batch_output]
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)
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)
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if __name__ == "__main__":
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-
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app.launch(
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show_error=True
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)
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# Initialize calculator
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calc = S2GeometryCalculator()
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+
# Multi-cell visualization function
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def visualize_multiple_cells(batch_text, input_type):
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lines = [line.strip() for line in batch_text.split('\n') if line.strip()]
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# Start with default center
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m = Map(location=[12.935656, 77.543204], zoom_start=12)
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+
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colors = ['red', 'blue', 'green', 'purple', 'orange', 'darkred', 'lightred',
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'beige', 'darkblue', 'darkgreen', 'cadetblue', 'darkpurple', 'white',
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'pink', 'lightblue', 'lightgreen', 'gray', 'black', 'lightgray']
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valid_cells = 0
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total_lat, total_lng = 0, 0
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for i, line in enumerate(lines):
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try:
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if input_type == "token":
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cell_id = CellId.from_token(line)
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else: # cell_id
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if isinstance(line, str) and line.startswith('0x'):
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cell_id_int = int(line, 16)
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else:
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cell_id_int = int(line)
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cell_id = CellId(cell_id_int)
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# Get cell center
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center = cell_id.to_lat_lng()
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center_lat = center.lat().degrees
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center_lng = center.lng().degrees
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total_lat += center_lat
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total_lng += center_lng
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valid_cells += 1
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# Get cell vertices
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cell = Cell(cell_id)
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vertices = []
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for j in range(4):
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vertex = cell.get_vertex(j)
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lat_lng = LatLng.from_point(vertex)
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vertices.append([lat_lng.lat().degrees, lat_lng.lng().degrees])
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# Close the polygon
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vertices.append(vertices[0])
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# Use different colors for different cells
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color = colors[i % len(colors)]
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# Add cell as polygon
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folium.Polygon(
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locations=vertices,
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color=color,
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weight=2,
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fillColor=color,
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fillOpacity=0.3,
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popup=f"Cell {i+1}: {cell_id.to_token()}<br>Level: {cell_id.level()}"
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).add_to(m)
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# Add center marker
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folium.Marker(
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[center_lat, center_lng],
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popup=f"Cell {i+1}: {cell_id.to_token()}",
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icon=folium.Icon(color=color, icon='info-sign')
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).add_to(m)
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except Exception as e:
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print(f"Error processing cell {i+1} ({line}): {str(e)}")
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# Center map on average of all valid cells
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if valid_cells > 0:
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avg_lat = total_lat / valid_cells
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avg_lng = total_lng / valid_cells
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m.location = [avg_lat, avg_lng]
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return m
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# Batch operations helper functions
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def process_batch_info(batch_text, input_type):
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lines = [line.strip() for line in batch_text.split('\n') if line.strip()]
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results = []
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for i, line in enumerate(lines, 1):
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try:
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info = calc.get_cell_info(line, input_type)
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results.append(f"=== Cell {i}: {line} ===")
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results.append(info)
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results.append("")
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except Exception as e:
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results.append(f"=== Cell {i}: {line} ===")
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results.append(f"Error: {str(e)}")
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results.append("")
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return "\n".join(results)
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def process_batch_coords(batch_text, input_type):
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lines = [line.strip() for line in batch_text.split('\n') if line.strip()]
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results = []
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for i, line in enumerate(lines, 1):
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try:
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coords = calc.cell_to_latlng(line, input_type)
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results.append(f"Cell {i} ({line}): {coords}")
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except Exception as e:
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results.append(f"Cell {i} ({line}): Error - {str(e)}")
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return "\n".join(results)
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+
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# Create Gradio interface
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with gr.Blocks(title="S2 Geometry Calculator", theme=gr.themes.Soft()) as app:
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gr.Markdown("""
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A comprehensive tool for working with Google's S2 spherical geometry library.
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S2 cells are hierarchical decompositions of the sphere useful for geographic indexing.
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+
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**✨ Reactive Interface - All updates happen automatically as you type!**
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""")
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with gr.Tabs():
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interactive=False
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)
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# Event handlers - All reactive (no buttons needed)
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# Basic conversions - auto update on input change
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cell_id_input.change(
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calc.cell_id_to_token,
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inputs=[cell_id_input],
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outputs=[id_to_token_output]
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)
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token_input.change(
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calc.token_to_cell_id,
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inputs=[token_input],
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outputs=[token_to_id_output]
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)
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# Level operations - auto update on any input change
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def update_level_change(cell_input, target_level, input_type):
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return calc.change_cell_level(cell_input, target_level, input_type)
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for component in [level_input, target_level, level_input_type]:
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component.change(
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update_level_change,
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inputs=[level_input, target_level, level_input_type],
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outputs=[level_output]
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)
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# Coordinate conversions - auto update
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def update_cell_to_coord(cell_input, input_type):
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| 608 |
+
return calc.cell_to_latlng(cell_input, input_type)
|
| 609 |
|
| 610 |
+
coord_cell_input.change(
|
| 611 |
+
update_cell_to_coord,
|
| 612 |
inputs=[coord_cell_input, coord_input_type],
|
| 613 |
outputs=[coord_output]
|
| 614 |
)
|
| 615 |
|
| 616 |
+
coord_input_type.change(
|
| 617 |
+
update_cell_to_coord,
|
| 618 |
+
inputs=[coord_cell_input, coord_input_type],
|
| 619 |
+
outputs=[coord_output]
|
| 620 |
)
|
| 621 |
|
| 622 |
+
def update_coord_to_cell(lat, lng, level):
|
| 623 |
+
return calc.latlng_to_cell(lat, lng, level)
|
| 624 |
+
|
| 625 |
+
for component in [lat_input, lng_input, coord_level]:
|
| 626 |
+
component.change(
|
| 627 |
+
update_coord_to_cell,
|
| 628 |
+
inputs=[lat_input, lng_input, coord_level],
|
| 629 |
+
outputs=[cell_from_coord_output]
|
| 630 |
+
)
|
| 631 |
+
|
| 632 |
+
# Cell information - auto update
|
| 633 |
+
def update_cell_info(cell_input, input_type):
|
| 634 |
+
info = calc.get_cell_info(cell_input, input_type)
|
| 635 |
+
neighbors = calc.get_cell_neighbors(cell_input, input_type)
|
| 636 |
+
return info, neighbors
|
| 637 |
+
|
| 638 |
+
info_cell_input.change(
|
| 639 |
+
update_cell_info,
|
| 640 |
inputs=[info_cell_input, info_input_type],
|
| 641 |
+
outputs=[cell_info_output, neighbors_output]
|
| 642 |
)
|
| 643 |
|
| 644 |
+
info_input_type.change(
|
| 645 |
+
update_cell_info,
|
| 646 |
inputs=[info_cell_input, info_input_type],
|
| 647 |
+
outputs=[cell_info_output, neighbors_output]
|
| 648 |
)
|
| 649 |
|
| 650 |
+
# Single cell visualization - auto update
|
| 651 |
+
def update_visualization(cell_input, input_type):
|
| 652 |
+
return calc.visualize_cell_on_map(cell_input, input_type)
|
| 653 |
+
|
| 654 |
+
viz_cell_input.change(
|
| 655 |
+
update_visualization,
|
| 656 |
inputs=[viz_cell_input, viz_input_type],
|
| 657 |
outputs=[map_output]
|
| 658 |
)
|
| 659 |
|
| 660 |
+
viz_input_type.change(
|
| 661 |
+
update_visualization,
|
| 662 |
+
inputs=[viz_cell_input, viz_input_type],
|
| 663 |
+
outputs=[map_output]
|
|
|
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|
|
| 664 |
)
|
| 665 |
|
| 666 |
+
# Multi-cell visualization - auto update
|
| 667 |
+
multi_viz_input.change(
|
| 668 |
+
visualize_multiple_cells,
|
| 669 |
+
inputs=[multi_viz_input, multi_viz_input_type],
|
| 670 |
+
outputs=[multi_map_output]
|
| 671 |
)
|
| 672 |
+
|
| 673 |
+
multi_viz_input_type.change(
|
| 674 |
+
visualize_multiple_cells,
|
| 675 |
+
inputs=[multi_viz_input, multi_viz_input_type],
|
| 676 |
+
outputs=[multi_map_output]
|
| 677 |
+
)
|
| 678 |
+
|
| 679 |
+
# Batch operations - auto update
|
| 680 |
+
def update_batch_operations(batch_text, input_type, operation):
|
| 681 |
+
if operation == "Get Info":
|
| 682 |
+
return process_batch_info(batch_text, input_type)
|
| 683 |
+
else: # Get Coordinates
|
| 684 |
+
return process_batch_coords(batch_text, input_type)
|
| 685 |
+
|
| 686 |
+
for component in [batch_input, batch_input_type, batch_operation]:
|
| 687 |
+
component.change(
|
| 688 |
+
update_batch_operations,
|
| 689 |
+
inputs=[batch_input, batch_input_type, batch_operation],
|
| 690 |
+
outputs=[batch_output]
|
| 691 |
+
)
|
| 692 |
+
|
| 693 |
+
gr.Markdown("""
|
| 694 |
+
## About this app
|
| 695 |
+
|
| 696 |
+
This app provides comprehensive S2 geometry calculations with real-time, reactive updates.
|
| 697 |
+
Simply change any input and watch the results update automatically!
|
| 698 |
+
|
| 699 |
+
### Features:
|
| 700 |
+
- **Basic Conversions**: Cell ID ↔ Token conversion
|
| 701 |
+
- **Level Operations**: Navigate S2 hierarchy
|
| 702 |
+
- **Coordinate Conversion**: Cell ↔ Lat/Lng conversion
|
| 703 |
+
- **Cell Information**: Detailed cell properties and neighbors
|
| 704 |
+
- **Visualization**: Interactive maps with cell boundaries
|
| 705 |
+
- **Multi-Cell Display**: Visualize multiple cells simultaneously
|
| 706 |
+
- **Batch Processing**: Handle multiple cells efficiently
|
| 707 |
+
|
| 708 |
+
### S2 Levels:
|
| 709 |
+
- Level 0: ~85,000 km cell edge
|
| 710 |
+
- Level 10: ~78 km cell edge
|
| 711 |
+
- Level 16: ~1.2 km cell edge (commonly used)
|
| 712 |
+
- Level 20: ~76 m cell edge
|
| 713 |
+
- Level 30: ~7.5 cm cell edge (maximum)
|
| 714 |
+
""")
|
| 715 |
|
| 716 |
if __name__ == "__main__":
|
| 717 |
+
# Launch the app
|
| 718 |
app.launch(
|
| 719 |
show_error=True
|
| 720 |
)
|