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import gradio as gr
import asyncio
import plotly.graph_objects as go
import h3
from src.trackemdown.core import fetch_geotags
def create_map(results):
"""Create an interactive map showing the geotag locations and hexagon boundaries"""
if not results:
return go.Figure()
lats = [result.latitude for result in results]
lons = [result.longitude for result in results]
addresses = [result.address for result in results]
geotags = [result.geotag for result in results]
fig = go.Figure()
# Add hexagon boundaries for each geotag
colors = ['blue', 'green', 'purple', 'orange', 'brown', 'pink', 'gray', 'olive', 'cyan', 'magenta']
for i, geotag in enumerate(geotags):
try:
# Get hexagon boundary coordinates
boundary = h3.cell_to_boundary(geotag)
# Convert to lat/lon lists (boundary returns (lat, lon) tuples)
hex_lats = [coord[0] for coord in boundary] + [boundary[0][0]] # Close the polygon
hex_lons = [coord[1] for coord in boundary] + [boundary[0][1]]
# Add hexagon outline
fig.add_trace(go.Scattermap(
lat=hex_lats,
lon=hex_lons,
mode='lines',
line=dict(width=2, color=colors[i % len(colors)]),
name=f"H3 Hexagon {i+1}",
hovertemplate=f'<b>H3 Geotag: {geotag}</b><extra></extra>',
showlegend=True
))
except Exception as e:
print(f"Could not draw hexagon for {geotag}: {e}")
# Add location markers
fig.add_trace(go.Scattermap(
lat=lats,
lon=lons,
mode='markers',
marker=dict(size=8, color='red'),
text=[f"{addr}<br>Geotag: {geotag}" for addr, geotag in zip(addresses, geotags)],
hovertemplate='<b>%{text}</b><extra></extra>',
name="Locations",
showlegend=True
))
fig.update_layout(
map=dict(
style="open-street-map",
zoom=2,
center=dict(lat=lats[0], lon=lons[0]) if lats else dict(lat=0, lon=0)
),
height=500,
margin=dict(l=0, r=0, t=0, b=0),
legend=dict(x=0.02, y=0.98)
)
return fig
async def get_geotags_async(query: str, resolution: int):
try:
results = await fetch_geotags(query, resolution)
# Format results for table display
formatted_results = []
for result in results:
formatted_results.append([
result.address,
f"{result.latitude:.6f}",
f"{result.longitude:.6f}",
result.geotag
])
# Create map
map_fig = create_map(results)
return formatted_results, map_fig, gr.update(visible=False)
except Exception as e:
empty_fig = go.Figure()
empty_fig.update_layout(height=400, margin=dict(l=0, r=0, t=0, b=0))
return [], empty_fig, gr.update(value=f"Error: {str(e)}", visible=True)
def get_geotags(query: str, resolution: int):
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
return loop.run_until_complete(get_geotags_async(query, resolution))
finally:
loop.close()
# H3 Resolution levels:
# 0: ~4,250 km hexagons (continent scale)
# 5: ~252 km hexagons (large city scale)
# 9: ~0.1 km hexagons (neighborhood scale)
# 12: ~0.01 km hexagons (building scale)
# 15: ~0.0005 km hexagons (room scale) - highest resolution
with gr.Blocks() as demo:
gr.Markdown("# TrackEmDown")
with gr.Row():
query_input = gr.Textbox(label="Address or Coordinates")
resolution_input = gr.Number(label="H3 Resolution", value=15, minimum=0, maximum=15)
search_btn = gr.Button("Generate Geotags")
results_table = gr.Dataframe(
headers=["Address", "Latitude", "Longitude", "H3 Geotag"],
datatype=["str", "str", "str", "str"],
interactive=False,
wrap=True
)
map_plot = gr.Plot(label="Map View")
error_output = gr.Textbox(label="Error", lines=3, interactive=False, visible=False)
search_btn.click(
fn=get_geotags,
inputs=[query_input, resolution_input],
outputs=[results_table, map_plot, error_output]
)
if __name__ == "__main__":
demo.launch(share=False)
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