Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
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@@ -1145,7 +1145,8 @@ def calculate_track_uncertainty(track_points):
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def create_genesis_animation(prediction_data, enable_animation=True):
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"""
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-
Create animation showing daily genesis potential and storm development
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"""
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try:
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if 'daily_gpi_maps' not in prediction_data or not prediction_data['daily_gpi_maps']:
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@@ -1155,105 +1156,262 @@ def create_genesis_animation(prediction_data, enable_animation=True):
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storm_predictions = prediction_data.get('storm_predictions', [])
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month = prediction_data['month']
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oni_value = prediction_data['oni_value']
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fig = go.Figure()
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if enable_animation and len(daily_maps) > 1:
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#
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frames = []
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for day_idx, day_data in enumerate(daily_maps):
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day = day_data['day']
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gpi_field = day_data['gpi_field']
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lat_range = day_data['lat_range']
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lon_range = day_data['lon_range']
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frame_data = []
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# Add GPI contour
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frame_data.append(
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go.
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hovertemplate=(
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'
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'
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'<extra></extra>'
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)
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)
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)
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#
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for storm in storm_predictions:
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track = storm['track']
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current_track = [pt for pt in track if pt['day'] <= day]
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if current_track:
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lats = [pt['lat'] for pt in current_track]
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lons = [pt['lon'] for pt in current_track]
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intensities = [pt['intensity'] for pt in current_track]
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# Storm track
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frame_data.append(
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go.
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mode='
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line=dict(color='red', width=3),
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marker=dict(
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size=
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color=
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),
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name=f'Storm {
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hovertemplate=(
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f'
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'<extra></extra>'
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)
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showlegend=(day_idx == 0)
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)
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)
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#
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if current_track:
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frame_data.append(
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go.
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mode='markers',
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marker=dict(
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size=
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color='
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symbol='star',
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line=dict(width=2, color='black')
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),
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name=f'Storm {
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showlegend=
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hovertemplate=(
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f'
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f'
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f'
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f'
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'<extra></extra>'
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)
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)
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)
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frames.append(go.Frame(
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data=frame_data,
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name=str(day),
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layout=go.Layout(
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title=f"
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)
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))
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@@ -1262,30 +1420,46 @@ def create_genesis_animation(prediction_data, enable_animation=True):
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# Set initial frame
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if frames:
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fig.add_traces(frames[0].data)
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#
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fig.update_layout(
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updatemenus=[{
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"buttons": [
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{
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"args": [None, {
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"method": "animate"
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},
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{
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"args": [[None], {
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"label": "⏸️ Pause",
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"method": "animate"
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}
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],
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"direction": "left",
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"pad": {"r": 10, "t":
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"showactive": False,
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"type": "buttons",
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"x": 0.1,
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"xanchor": "right",
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"y": 0,
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"yanchor": "top"
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}],
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"yanchor": "top",
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"xanchor": "left",
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"currentvalue": {
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"font": {"size": 16},
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"prefix": "Day: ",
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"visible": True,
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"xanchor": "right"
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},
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"y": 0,
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"steps": [
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{
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"args": [[str(day_data['day'])], {
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"method": "animate"
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}
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for day_data in daily_maps
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]
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}]
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)
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else:
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#
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final_day = daily_maps[-1]
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gpi_field = final_day['gpi_field']
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lat_range = final_day['lat_range']
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lon_range = final_day['lon_range']
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# Add GPI
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fig.add_trace(
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go.
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)
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)
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@@ -1350,37 +1526,32 @@ def create_genesis_animation(prediction_data, enable_animation=True):
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lons = [pt['lon'] for pt in track]
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intensities = [pt['intensity'] for pt in track]
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fig.add_trace(
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go.
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mode='lines+markers',
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line=dict(color='red', width=3),
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marker=dict(
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size=[max(
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color=intensities,
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colorscale='Reds',
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showscale=False
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),
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name=f'Storm {storm["storm_id"]}'
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hovertemplate=(
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f'Storm {storm["storm_id"]}<br>'
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'Longitude: %{x:.1f}°E<br>'
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'Latitude: %{y:.1f}°N<br>'
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'<extra></extra>'
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)
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)
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# Genesis marker
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fig.add_trace(
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go.
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mode='markers',
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marker=dict(
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size=
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color='
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symbol='star',
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line=dict(width=2, color='black')
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),
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#
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fig.update_layout(
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title=
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)
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# Set map bounds
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fig.update_xaxes(range=[110, 180])
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fig.update_yaxes(range=[5, 35])
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return fig
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except Exception as e:
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logging.error(f"Error creating genesis animation: {e}")
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return create_error_plot(f"Animation error: {str(e)}")
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def create_error_plot(error_message):
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def create_genesis_animation(prediction_data, enable_animation=True):
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"""
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+
Create professional typhoon track animation showing daily genesis potential and storm development
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Following NHC/JTWC visualization standards with proper geographic map and time controls
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"""
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try:
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if 'daily_gpi_maps' not in prediction_data or not prediction_data['daily_gpi_maps']:
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storm_predictions = prediction_data.get('storm_predictions', [])
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month = prediction_data['month']
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oni_value = prediction_data['oni_value']
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year = prediction_data.get('year', 2025)
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# Create base figure with geographic map
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fig = go.Figure()
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if enable_animation and len(daily_maps) > 1:
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# PROFESSIONAL ANIMATION VERSION
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frames = []
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# Get all storm track data for proper bounds
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all_lats, all_lons = [], []
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for storm in storm_predictions:
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track = storm.get('track', [])
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if track:
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all_lats.extend([pt['lat'] for pt in track])
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all_lons.extend([pt['lon'] for pt in track])
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# Set map bounds (Western Pacific focus)
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map_bounds = {
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'lat_min': min(5, min(all_lats) - 5) if all_lats else 5,
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'lat_max': max(35, max(all_lats) + 5) if all_lats else 35,
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'lon_min': min(110, min(all_lons) - 10) if all_lons else 110,
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'lon_max': max(180, max(all_lons) + 10) if all_lons else 180
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}
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# Create frames for each day
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for day_idx, day_data in enumerate(daily_maps):
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day = day_data['day']
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frame_data = []
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# 1. GENESIS POTENTIAL BACKGROUND (GPI Contours)
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gpi_field = day_data['gpi_field']
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lat_range = day_data['lat_range']
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lon_range = day_data['lon_range']
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frame_data.append(
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go.Scattergeo(
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lat=np.repeat(lat_range, len(lon_range)),
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lon=np.tile(lon_range, len(lat_range)),
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mode='markers',
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marker=dict(
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size=6,
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color=gpi_field.flatten(),
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colorscale='Viridis',
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cmin=0,
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cmax=3,
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opacity=0.6,
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showscale=(day_idx == 0),
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colorbar=dict(
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title="Genesis<br>Potential<br>Index",
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titleside="right"
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) if day_idx == 0 else None
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),
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name='Genesis Potential',
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showlegend=(day_idx == 0),
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hovertemplate=(
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'Genesis Potential<br>'
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'Lat: %{lat:.1f}°N<br>'
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'Lon: %{lon:.1f}°E<br>'
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'GPI: %{marker.color:.2f}<br>'
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f'Day {day} of {month:02d}/{year}<br>'
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'<extra></extra>'
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)
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)
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)
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# 2. STORM TRACKS (Progressive reveal like NHC)
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for storm_idx, storm in enumerate(storm_predictions):
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track = storm['track']
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storm_id = storm['storm_id']
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# Get track points up to current day
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current_track = [pt for pt in track if pt['day'] <= day]
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if current_track and len(current_track) > 0:
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lats = [pt['lat'] for pt in current_track]
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lons = [pt['lon'] for pt in current_track]
|
| 1236 |
intensities = [pt['intensity'] for pt in current_track]
|
| 1237 |
+
categories = [pt['category'] for pt in current_track]
|
| 1238 |
+
|
| 1239 |
+
# Get colors based on intensity (Saffir-Simpson-like scale)
|
| 1240 |
+
colors = []
|
| 1241 |
+
for intensity in intensities:
|
| 1242 |
+
if intensity < 34:
|
| 1243 |
+
colors.append('#80808080') # Gray - TD
|
| 1244 |
+
elif intensity < 64:
|
| 1245 |
+
colors.append('#0000FF80') # Blue - TS
|
| 1246 |
+
elif intensity < 83:
|
| 1247 |
+
colors.append('#00FFFF80') # Cyan - C1
|
| 1248 |
+
elif intensity < 96:
|
| 1249 |
+
colors.append('#00FF0080') # Green - C2
|
| 1250 |
+
elif intensity < 113:
|
| 1251 |
+
colors.append('#FFFF0080') # Yellow - C3
|
| 1252 |
+
elif intensity < 137:
|
| 1253 |
+
colors.append('#FFA50080') # Orange - C4
|
| 1254 |
+
else:
|
| 1255 |
+
colors.append('#FF000080') # Red - C5
|
| 1256 |
+
|
| 1257 |
+
# 3. HISTORICAL TRACK (Past movement)
|
| 1258 |
+
if len(current_track) > 1:
|
| 1259 |
+
frame_data.append(
|
| 1260 |
+
go.Scattergeo(
|
| 1261 |
+
lat=lats[:-1], # All except current position
|
| 1262 |
+
lon=lons[:-1],
|
| 1263 |
+
mode='lines+markers',
|
| 1264 |
+
line=dict(
|
| 1265 |
+
color='rgba(100,100,100,0.7)',
|
| 1266 |
+
width=3
|
| 1267 |
+
),
|
| 1268 |
+
marker=dict(
|
| 1269 |
+
size=[max(6, int/8) for int in intensities[:-1]],
|
| 1270 |
+
color=colors[:-1],
|
| 1271 |
+
line=dict(width=1, color='white')
|
| 1272 |
+
),
|
| 1273 |
+
name=f'Storm {storm_id} Track',
|
| 1274 |
+
showlegend=(storm_idx == 0 and day_idx == 0),
|
| 1275 |
+
legendgroup=f'storm_{storm_id}',
|
| 1276 |
+
hovertemplate=(
|
| 1277 |
+
f'<b>Storm {storm_id} History</b><br>'
|
| 1278 |
+
'Lat: %{lat:.1f}°N<br>'
|
| 1279 |
+
'Lon: %{lon:.1f}°E<br>'
|
| 1280 |
+
'<extra></extra>'
|
| 1281 |
+
)
|
| 1282 |
+
)
|
| 1283 |
+
)
|
| 1284 |
+
|
| 1285 |
+
# 4. CURRENT POSITION (Big marker like operational forecasts)
|
| 1286 |
+
current_pos = current_track[-1]
|
| 1287 |
+
current_intensity = current_pos['intensity']
|
| 1288 |
+
current_category = current_pos['category']
|
| 1289 |
+
|
| 1290 |
+
# Get current position color
|
| 1291 |
+
if current_intensity < 34:
|
| 1292 |
+
current_color = '#808080' # Gray - TD
|
| 1293 |
+
elif current_intensity < 64:
|
| 1294 |
+
current_color = '#0000FF' # Blue - TS
|
| 1295 |
+
elif current_intensity < 83:
|
| 1296 |
+
current_color = '#00FFFF' # Cyan - C1
|
| 1297 |
+
elif current_intensity < 96:
|
| 1298 |
+
current_color = '#00FF00' # Green - C2
|
| 1299 |
+
elif current_intensity < 113:
|
| 1300 |
+
current_color = '#FFFF00' # Yellow - C3
|
| 1301 |
+
elif current_intensity < 137:
|
| 1302 |
+
current_color = '#FFA500' # Orange - C4
|
| 1303 |
+
else:
|
| 1304 |
+
current_color = '#FF0000' # Red - C5
|
| 1305 |
|
|
|
|
| 1306 |
frame_data.append(
|
| 1307 |
+
go.Scattergeo(
|
| 1308 |
+
lat=[current_pos['lat']],
|
| 1309 |
+
lon=[current_pos['lon']],
|
| 1310 |
+
mode='markers',
|
|
|
|
| 1311 |
marker=dict(
|
| 1312 |
+
size=max(15, current_intensity/4),
|
| 1313 |
+
color=current_color,
|
| 1314 |
+
symbol='circle',
|
| 1315 |
+
line=dict(width=3, color='white'),
|
| 1316 |
+
opacity=1.0
|
| 1317 |
),
|
| 1318 |
+
name=f'Storm {storm_id} Current',
|
| 1319 |
+
showlegend=(storm_idx == 0 and day_idx == 0),
|
| 1320 |
+
legendgroup=f'storm_{storm_id}',
|
| 1321 |
hovertemplate=(
|
| 1322 |
+
f'<b>STORM {storm_id}</b><br>'
|
| 1323 |
+
f'Day {day:.1f} of {month:02d}/{year}<br>'
|
| 1324 |
+
f'Position: %{{lat:.1f}}°N, %{{lon:.1f}}°E<br>'
|
| 1325 |
+
f'Intensity: {current_intensity:.0f} kt<br>'
|
| 1326 |
+
f'Category: {current_category}<br>'
|
| 1327 |
+
f'Pressure: {current_pos["pressure"]:.0f} hPa<br>'
|
| 1328 |
+
f'Uncertainty: ±{current_pos["position_uncertainty"]:.1f}°<br>'
|
| 1329 |
'<extra></extra>'
|
| 1330 |
+
)
|
|
|
|
| 1331 |
)
|
| 1332 |
)
|
| 1333 |
|
| 1334 |
+
# 5. UNCERTAINTY CONE (Growing with time like NHC)
|
| 1335 |
+
if len(current_track) > 1:
|
| 1336 |
+
uncertainty = current_pos['position_uncertainty']
|
| 1337 |
+
center_lat = current_pos['lat']
|
| 1338 |
+
center_lon = current_pos['lon']
|
| 1339 |
+
|
| 1340 |
+
# Create uncertainty circle
|
| 1341 |
+
circle_lats = []
|
| 1342 |
+
circle_lons = []
|
| 1343 |
+
for angle in np.linspace(0, 2*np.pi, 20):
|
| 1344 |
+
circle_lats.append(center_lat + uncertainty * np.cos(angle))
|
| 1345 |
+
circle_lons.append(center_lon + uncertainty * np.sin(angle))
|
| 1346 |
+
|
| 1347 |
frame_data.append(
|
| 1348 |
+
go.Scattergeo(
|
| 1349 |
+
lat=circle_lats,
|
| 1350 |
+
lon=circle_lons,
|
| 1351 |
+
mode='lines',
|
| 1352 |
+
line=dict(
|
| 1353 |
+
color='rgba(255,0,0,0.3)',
|
| 1354 |
+
width=2,
|
| 1355 |
+
dash='dash'
|
| 1356 |
+
),
|
| 1357 |
+
fill='toself',
|
| 1358 |
+
fillcolor='rgba(255,0,0,0.1)',
|
| 1359 |
+
name=f'Storm {storm_id} Uncertainty',
|
| 1360 |
+
showlegend=(storm_idx == 0 and day_idx == 0),
|
| 1361 |
+
legendgroup=f'storm_{storm_id}',
|
| 1362 |
+
hoverinfo='skip'
|
| 1363 |
+
)
|
| 1364 |
+
)
|
| 1365 |
+
|
| 1366 |
+
# 6. GENESIS MARKER (Show where storm formed)
|
| 1367 |
+
if len(current_track) >= 1:
|
| 1368 |
+
genesis_pos = track[0] # First position
|
| 1369 |
+
frame_data.append(
|
| 1370 |
+
go.Scattergeo(
|
| 1371 |
+
lat=[genesis_pos['lat']],
|
| 1372 |
+
lon=[genesis_pos['lon']],
|
| 1373 |
mode='markers',
|
| 1374 |
marker=dict(
|
| 1375 |
+
size=12,
|
| 1376 |
+
color='gold',
|
| 1377 |
symbol='star',
|
| 1378 |
line=dict(width=2, color='black')
|
| 1379 |
),
|
| 1380 |
+
name=f'Storm {storm_id} Genesis',
|
| 1381 |
+
showlegend=(storm_idx == 0 and day_idx == 0),
|
| 1382 |
+
legendgroup=f'storm_{storm_id}',
|
| 1383 |
hovertemplate=(
|
| 1384 |
+
f'<b>GENESIS - Storm {storm_id}</b><br>'
|
| 1385 |
+
f'Day {genesis_pos["day"]:.1f}<br>'
|
| 1386 |
+
f'Location: %{{lat:.1f}}°N, %{{lon:.1f}}°E<br>'
|
| 1387 |
+
f'Initial Intensity: {genesis_pos["intensity"]:.0f} kt<br>'
|
| 1388 |
'<extra></extra>'
|
| 1389 |
)
|
| 1390 |
)
|
| 1391 |
)
|
| 1392 |
|
| 1393 |
+
# Create frame
|
| 1394 |
frames.append(go.Frame(
|
| 1395 |
data=frame_data,
|
| 1396 |
name=str(day),
|
| 1397 |
layout=go.Layout(
|
| 1398 |
+
title=f"Typhoon Development Forecast - Day {day}, {month:02d}/{year} | ONI: {oni_value:.2f}",
|
| 1399 |
+
geo=dict(
|
| 1400 |
+
projection_type="natural earth",
|
| 1401 |
+
showland=True,
|
| 1402 |
+
landcolor="lightgray",
|
| 1403 |
+
showocean=True,
|
| 1404 |
+
oceancolor="lightblue",
|
| 1405 |
+
showcoastlines=True,
|
| 1406 |
+
coastlinecolor="darkgray",
|
| 1407 |
+
center=dict(
|
| 1408 |
+
lat=(map_bounds['lat_min'] + map_bounds['lat_max']) / 2,
|
| 1409 |
+
lon=(map_bounds['lon_min'] + map_bounds['lon_max']) / 2
|
| 1410 |
+
),
|
| 1411 |
+
lonaxis_range=[map_bounds['lon_min'], map_bounds['lon_max']],
|
| 1412 |
+
lataxis_range=[map_bounds['lat_min'], map_bounds['lat_max']],
|
| 1413 |
+
resolution=50
|
| 1414 |
+
)
|
| 1415 |
)
|
| 1416 |
))
|
| 1417 |
|
|
|
|
| 1420 |
# Set initial frame
|
| 1421 |
if frames:
|
| 1422 |
fig.add_traces(frames[0].data)
|
| 1423 |
+
fig.update_layout(frames[0].layout)
|
| 1424 |
|
| 1425 |
+
# PROFESSIONAL ANIMATION CONTROLS (like NHC website)
|
| 1426 |
fig.update_layout(
|
| 1427 |
updatemenus=[{
|
| 1428 |
"buttons": [
|
| 1429 |
{
|
| 1430 |
+
"args": [None, {
|
| 1431 |
+
"frame": {"duration": 800, "redraw": True},
|
| 1432 |
+
"fromcurrent": True,
|
| 1433 |
+
"transition": {"duration": 300, "easing": "cubic-in-out"}
|
| 1434 |
+
}],
|
| 1435 |
+
"label": "▶️ Play Animation",
|
| 1436 |
"method": "animate"
|
| 1437 |
},
|
| 1438 |
{
|
| 1439 |
+
"args": [[None], {
|
| 1440 |
+
"frame": {"duration": 0, "redraw": True},
|
| 1441 |
+
"mode": "immediate",
|
| 1442 |
+
"transition": {"duration": 0}
|
| 1443 |
+
}],
|
| 1444 |
"label": "⏸️ Pause",
|
| 1445 |
"method": "animate"
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"args": [[frames[0].name], {
|
| 1449 |
+
"frame": {"duration": 0, "redraw": True},
|
| 1450 |
+
"mode": "immediate",
|
| 1451 |
+
"transition": {"duration": 0}
|
| 1452 |
+
}],
|
| 1453 |
+
"label": "⏮️ Reset",
|
| 1454 |
+
"method": "animate"
|
| 1455 |
}
|
| 1456 |
],
|
| 1457 |
"direction": "left",
|
| 1458 |
+
"pad": {"r": 10, "t": 120},
|
| 1459 |
"showactive": False,
|
| 1460 |
"type": "buttons",
|
| 1461 |
"x": 0.1,
|
| 1462 |
+
"xanchor": "right",
|
| 1463 |
"y": 0,
|
| 1464 |
"yanchor": "top"
|
| 1465 |
}],
|
|
|
|
| 1468 |
"yanchor": "top",
|
| 1469 |
"xanchor": "left",
|
| 1470 |
"currentvalue": {
|
| 1471 |
+
"font": {"size": 16, "color": "darkblue"},
|
| 1472 |
+
"prefix": f"{month:02d}/{year} Day: ",
|
| 1473 |
"visible": True,
|
| 1474 |
"xanchor": "right"
|
| 1475 |
},
|
|
|
|
| 1480 |
"y": 0,
|
| 1481 |
"steps": [
|
| 1482 |
{
|
| 1483 |
+
"args": [[str(day_data['day'])], {
|
| 1484 |
+
"frame": {"duration": 300, "redraw": True},
|
| 1485 |
+
"mode": "immediate",
|
| 1486 |
+
"transition": {"duration": 300}
|
| 1487 |
+
}],
|
| 1488 |
+
"label": f"Day {day_data['day']}",
|
| 1489 |
"method": "animate"
|
| 1490 |
}
|
| 1491 |
+
for day_data in daily_maps
|
| 1492 |
]
|
| 1493 |
}]
|
| 1494 |
)
|
| 1495 |
|
| 1496 |
else:
|
| 1497 |
+
# STATIC VERSION (Final state overview)
|
| 1498 |
final_day = daily_maps[-1]
|
| 1499 |
gpi_field = final_day['gpi_field']
|
| 1500 |
lat_range = final_day['lat_range']
|
| 1501 |
lon_range = final_day['lon_range']
|
| 1502 |
|
| 1503 |
+
# Add GPI background
|
| 1504 |
fig.add_trace(
|
| 1505 |
+
go.Scattergeo(
|
| 1506 |
+
lat=np.repeat(lat_range, len(lon_range)),
|
| 1507 |
+
lon=np.tile(lon_range, len(lat_range)),
|
| 1508 |
+
mode='markers',
|
| 1509 |
+
marker=dict(
|
| 1510 |
+
size=6,
|
| 1511 |
+
color=gpi_field.flatten(),
|
| 1512 |
+
colorscale='Viridis',
|
| 1513 |
+
opacity=0.6,
|
| 1514 |
+
showscale=True,
|
| 1515 |
+
colorbar=dict(title="Genesis Potential Index")
|
| 1516 |
+
),
|
| 1517 |
+
name='Genesis Potential'
|
|
|
|
| 1518 |
)
|
| 1519 |
)
|
| 1520 |
|
|
|
|
| 1526 |
lons = [pt['lon'] for pt in track]
|
| 1527 |
intensities = [pt['intensity'] for pt in track]
|
| 1528 |
|
| 1529 |
+
# Complete track
|
| 1530 |
fig.add_trace(
|
| 1531 |
+
go.Scattergeo(
|
| 1532 |
+
lat=lats,
|
| 1533 |
+
lon=lons,
|
| 1534 |
mode='lines+markers',
|
| 1535 |
line=dict(color='red', width=3),
|
| 1536 |
marker=dict(
|
| 1537 |
+
size=[max(6, int/8) for int in intensities],
|
| 1538 |
color=intensities,
|
| 1539 |
colorscale='Reds',
|
| 1540 |
showscale=False
|
| 1541 |
),
|
| 1542 |
+
name=f'Storm {storm["storm_id"]} Complete Track'
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1543 |
)
|
| 1544 |
)
|
| 1545 |
|
| 1546 |
# Genesis marker
|
| 1547 |
fig.add_trace(
|
| 1548 |
+
go.Scattergeo(
|
| 1549 |
+
lat=[lats[0]],
|
| 1550 |
+
lon=[lons[0]],
|
| 1551 |
mode='markers',
|
| 1552 |
marker=dict(
|
| 1553 |
+
size=15,
|
| 1554 |
+
color='gold',
|
| 1555 |
symbol='star',
|
| 1556 |
line=dict(width=2, color='black')
|
| 1557 |
),
|
|
|
|
| 1560 |
)
|
| 1561 |
)
|
| 1562 |
|
| 1563 |
+
# FINAL LAYOUT (Professional meteorological style)
|
| 1564 |
fig.update_layout(
|
| 1565 |
+
title={
|
| 1566 |
+
'text': f"🌊 Typhoon Genesis & Development Forecast<br><sub>{month:02d}/{year} | ONI: {oni_value:.2f} | " +
|
| 1567 |
+
("Interactive Animation" if enable_animation else "Monthly Summary") + "</sub>",
|
| 1568 |
+
'x': 0.5,
|
| 1569 |
+
'font': {'size': 18}
|
| 1570 |
+
},
|
| 1571 |
+
geo=dict(
|
| 1572 |
+
projection_type="natural earth",
|
| 1573 |
+
showland=True,
|
| 1574 |
+
landcolor="lightgray",
|
| 1575 |
+
showocean=True,
|
| 1576 |
+
oceancolor="lightblue",
|
| 1577 |
+
showcoastlines=True,
|
| 1578 |
+
coastlinecolor="darkgray",
|
| 1579 |
+
showlakes=True,
|
| 1580 |
+
lakecolor="lightblue",
|
| 1581 |
+
showcountries=True,
|
| 1582 |
+
countrycolor="gray",
|
| 1583 |
+
resolution=50,
|
| 1584 |
+
center=dict(lat=20, lon=140),
|
| 1585 |
+
lonaxis_range=[110, 180],
|
| 1586 |
+
lataxis_range=[5, 35]
|
| 1587 |
+
),
|
| 1588 |
+
width=1200,
|
| 1589 |
+
height=800,
|
| 1590 |
+
showlegend=True,
|
| 1591 |
+
legend=dict(
|
| 1592 |
+
x=0.02,
|
| 1593 |
+
y=0.98,
|
| 1594 |
+
bgcolor="rgba(255,255,255,0.8)",
|
| 1595 |
+
bordercolor="gray",
|
| 1596 |
+
borderwidth=1
|
| 1597 |
+
)
|
| 1598 |
)
|
| 1599 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1600 |
return fig
|
| 1601 |
|
| 1602 |
except Exception as e:
|
| 1603 |
+
logging.error(f"Error creating professional genesis animation: {e}")
|
| 1604 |
+
import traceback
|
| 1605 |
+
traceback.print_exc()
|
| 1606 |
return create_error_plot(f"Animation error: {str(e)}")
|
| 1607 |
|
| 1608 |
def create_error_plot(error_message):
|