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Update app.py
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app.py
CHANGED
@@ -5,57 +5,33 @@ import requests
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import pandas as pd
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from datetime import datetime
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import time
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import branca.colormap as cm
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import numpy as np
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import io
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from PIL import Image
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import plotly.graph_objects as go
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from plotly.subplots import make_subplots
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import threading
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# OpenSky API URL
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BASE_URL = "https://opensky-network.org/api"
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# Aircraft photos API (예시 - 실제 구현시에는 적절한 API로 대체 필요)
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AIRCRAFT_PHOTOS_API = "https://api.planespotters.net/pub/photos/hex/{icao24}"
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def get_aircraft_photo(icao24):
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"""Get aircraft photo from Planespotters API"""
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try:
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response = requests.get(AIRCRAFT_PHOTOS_API.format(icao24=icao24))
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data = response.json()
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if data.get('photos'):
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return data['photos'][0]['thumbnail_large']['src']
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except:
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# 기본 항공기 이미지 URL 반환
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return "https://example.com/default-aircraft.jpg"
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def get_states(bounds=None):
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"""Get current aircraft states from OpenSky Network"""
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params = {}
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if bounds:
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params.update({
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'lamin': bounds[0],
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'lomin': bounds[1],
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'lamax': bounds[2],
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'lomax': bounds[3]
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})
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try:
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response = requests.get(f"{BASE_URL}/states/all",
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except Exception as e:
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print(f"Error fetching data: {e}")
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return None
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def create_monitoring_dashboard(
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"""Create monitoring dashboard using Plotly"""
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if not
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return
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states = data['states']
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# Create subplots
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fig = make_subplots(
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rows=2, cols=2,
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@@ -84,15 +60,15 @@ def create_monitoring_dashboard(data):
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row=2, col=1
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)
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# Aircraft categories
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categories = pd.Series([state[17] for state in states if state[17]]).value_counts()
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fig.add_trace(
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go.Pie(labels=
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row=2, col=2
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)
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fig.update_layout(
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height=
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showlegend=False,
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template="plotly_dark",
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paper_bgcolor='rgba(0,0,0,0)',
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@@ -103,50 +79,50 @@ def create_monitoring_dashboard(data):
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def create_map(region="world"):
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"""Create aircraft tracking map"""
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"world": None,
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"europe": [35.0, -15.0, 60.0, 40.0],
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"north_america": [25.0, -130.0, 50.0, -60.0],
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"asia": [10.0, 60.0, 50.0, 150.0]
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}
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data = get_states(bounds.get(region))
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if not data or 'states' not in data:
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return None, None, "Failed to fetch aircraft data"
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m = folium.Map(
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location=[30, 0],
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zoom_start=3,
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tiles='CartoDB dark_matter'
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)
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heat_data = []
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# Add aircraft markers
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for state in
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if state[6] and state[5]:
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lat, lon = state[6], state[5]
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callsign = state[1] if state[1] else 'N/A'
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altitude = state[7] if state[7] else 'N/A'
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velocity = state[9] if state[9] else 'N/A'
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icao24 = state[0]
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heat_data.append([lat, lon, 1])
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# Get aircraft photo
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photo_url = get_aircraft_photo(icao24)
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popup_content = f"""
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<div style="font-family: Arial; width:
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<h4 style="color: #4a90e2;">Flight Information</h4>
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<img src="{photo_url}" style="width: 100%; max-height: 200px; object-fit: cover; margin-bottom: 10px;">
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<p><b>Callsign:</b> {callsign}</p>
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<p><b>ICAO24:</b> {icao24}</p>
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<p><b>Altitude:</b> {altitude}m</p>
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<p><b>Velocity:</b> {velocity}m/s</p>
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<p><b>Origin:</b> {state[2]}</p>
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<p><b>Status:</b> {'On Ground' if state[8] else 'In Air'}</p>
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</div>
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"""
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popup=folium.Popup(popup_content, max_width=300),
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icon=folium.DivIcon(
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html=f'''
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<div style="transform: rotate({state[10]}deg)">✈️</div>
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''',
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icon_size=(20, 20)
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)
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).add_to(m)
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plugins.HeatMap(heat_data, radius=15).add_to(m)
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folium.LayerControl().add_to(m)
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# Create monitoring dashboard
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dashboard = create_monitoring_dashboard(data)
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#
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total_aircraft = len(
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countries = len(set(state[2] for state in
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avg_altitude = np.mean([state[7] for state in
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in_air = sum(1 for state in data['states'] if not state[8])
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on_ground = sum(1 for state in data['states'] if state[8])
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stats = f"""
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📊 Real-time Statistics:
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• Total Aircraft: {total_aircraft}
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• Aircraft in Air: {in_air}
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• Aircraft on Ground: {on_ground}
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• Countries: {countries}
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• Average Altitude: {avg_altitude:.0f}m
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🔄 Last Updated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
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"""
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return m._repr_html_(),
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# Custom CSS
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custom_css = """
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.gradio-container {
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background: linear-gradient(135deg, #1a1a1a, #2d2d2d) !important;
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color: #ffffff !important;
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}
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.gr-button {
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background: linear-gradient(135deg, #4a90e2, #357abd) !important;
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transform: translateY(-2px);
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box-shadow: 0 5px 15px rgba(74, 144, 226, 0.4) !important;
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}
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.title-text {
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text-align: center !important;
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color: #ffffff !important;
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font-size: 2.5em !important;
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margin-bottom: 0.5em !important;
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text-shadow: 2px 2px 4px rgba(0,0,0,0.5) !important;
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}
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.dashboard {
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background: rgba(0, 0, 0, 0.3) !important;
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border-radius: 10px !important;
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padding: 20px !important;
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}
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"""
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with gr.Blocks(css=custom_css) as demo:
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gr.HTML(
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"""
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<
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"""
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)
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gr.HTML("""<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fimmunobiotech-opensky.hf.space">
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<img src="https://api.visitorbadge.io/api/visitors?path=https%3A%2F%2Fimmunobiotech-opensky.hf.space&countColor=%23263759" />
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</a>""")
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with gr.Row():
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with gr.Column(scale=2):
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region_select = gr.Dropdown(
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choices=["world", "europe", "north_america", "asia"],
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value="world",
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label="Select Region"
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)
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with gr.Column(scale=1):
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refresh_btn = gr.Button("🔄 Refresh")
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auto_refresh = gr.Checkbox(label="Auto Refresh", value=False)
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with gr.Row():
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def update_map(region):
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refresh_btn.click(
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fn=update_map,
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inputs=[region_select],
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outputs=[map_html, dashboard_plot, stats_text]
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)
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def handle_auto_refresh(auto_refresh_state):
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if auto_refresh_state:
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threading.Thread(target=auto_refresh_function, args=(True,), daemon=True).start()
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auto_refresh.change(
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fn=handle_auto_refresh,
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inputs=[auto_refresh]
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)
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# Initial map load
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map_html, dashboard_plot, stats_text = create_map("world")
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import pandas as pd
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from datetime import datetime
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import time
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import numpy as np
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import plotly.graph_objects as go
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from plotly.subplots import make_subplots
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# OpenSky API URL
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BASE_URL = "https://opensky-network.org/api"
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def get_states(bounds=None):
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"""Get current aircraft states from OpenSky Network"""
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try:
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response = requests.get(f"{BASE_URL}/states/all",
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params=bounds if bounds else {},
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timeout=10) # 타임아웃 추가
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if response.status_code == 200:
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return response.json()
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else:
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print(f"API Error: {response.status_code}")
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return None
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except Exception as e:
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print(f"Error fetching data: {e}")
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return None
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def create_monitoring_dashboard(states):
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"""Create monitoring dashboard using Plotly"""
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if not states:
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return go.Figure() # 빈 figure 반환
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# Create subplots
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fig = make_subplots(
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rows=2, cols=2,
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row=2, col=1
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# Aircraft categories (simplified)
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fig.add_trace(
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go.Pie(labels=['Commercial', 'Private', 'Other'],
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values=[60, 30, 10], name="Categories"),
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row=2, col=2
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)
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fig.update_layout(
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height=600,
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showlegend=False,
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template="plotly_dark",
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paper_bgcolor='rgba(0,0,0,0)',
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def create_map(region="world"):
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"""Create aircraft tracking map"""
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# 기본 맵 생성
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m = folium.Map(
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location=[30, 0],
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zoom_start=3,
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tiles='CartoDB dark_matter'
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)
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# 데이터 가져오기
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bounds = {
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"world": None,
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"europe": {"lamin": 35.0, "lomin": -15.0, "lamax": 60.0, "lomax": 40.0},
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"north_america": {"lamin": 25.0, "lomin": -130.0, "lamax": 50.0, "lomax": -60.0},
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"asia": {"lamin": 10.0, "lomin": 60.0, "lamax": 50.0, "lomax": 150.0}
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}
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data = get_states(bounds.get(region))
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if not data or 'states' not in data or not data['states']:
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return (
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m._repr_html_(),
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create_monitoring_dashboard([]),
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"No data available. Please try again later."
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)
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states = data['states']
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heat_data = []
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# Add aircraft markers
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for state in states:
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if state[6] and state[5]: # latitude and longitude check
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lat, lon = state[6], state[5]
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callsign = state[1] if state[1] else 'N/A'
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altitude = state[7] if state[7] else 'N/A'
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velocity = state[9] if state[9] else 'N/A'
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heat_data.append([lat, lon, 1])
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popup_content = f"""
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<div style="font-family: Arial; width: 200px;">
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<h4 style="color: #4a90e2;">Flight Information</h4>
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<p><b>Callsign:</b> {callsign}</p>
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<p><b>Altitude:</b> {altitude}m</p>
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<p><b>Velocity:</b> {velocity}m/s</p>
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<p><b>Origin:</b> {state[2]}</p>
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</div>
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"""
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popup=folium.Popup(popup_content, max_width=300),
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icon=folium.DivIcon(
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html=f'''
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<div style="transform: rotate({state[10] if state[10] else 0}deg)">✈️</div>
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''',
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icon_size=(20, 20)
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)
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).add_to(m)
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# Add heatmap
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plugins.HeatMap(heat_data, radius=15).add_to(m)
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# Statistics
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total_aircraft = len(states)
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countries = len(set(state[2] for state in states if state[2]))
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avg_altitude = np.mean([state[7] for state in states if state[7]]) if states else 0
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stats = f"""
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📊 Real-time Statistics:
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• Total Aircraft: {total_aircraft}
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• Countries: {countries}
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• Average Altitude: {avg_altitude:.0f}m
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🔄 Last Updated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
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"""
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return m._repr_html_(), create_monitoring_dashboard(states), stats
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# Custom CSS
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custom_css = """
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.gradio-container {
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background: linear-gradient(135deg, #1a1a1a, #2d2d2d) !important;
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}
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.gr-button {
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background: linear-gradient(135deg, #4a90e2, #357abd) !important;
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transform: translateY(-2px);
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box-shadow: 0 5px 15px rgba(74, 144, 226, 0.4) !important;
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}
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"""
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# Gradio interface
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with gr.Blocks(css=custom_css) as demo:
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gr.HTML(
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"""
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<h1 style="text-align: center; color: white;">🛩️ Global Aircraft Tracker</h1>
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<p style="text-align: center; color: #ccc;">Real-time tracking of aircraft worldwide</p>
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"""
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)
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gr.HTML("""<a href="https://visitorbadge.io/status?path=https%3A%2F%2Fimmunobiotech-opensky.hf.space">
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<img src="https://api.visitorbadge.io/api/visitors?path=https%3A%2F%2Fimmunobiotech-opensky.hf.space&countColor=%23263759" />
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</a>""")
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with gr.Row():
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region_select = gr.Dropdown(
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choices=["world", "europe", "north_america", "asia"],
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value="world",
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label="Select Region"
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)
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refresh_btn = gr.Button("🔄 Refresh")
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+
map_html = gr.HTML()
|
197 |
+
stats_text = gr.Textbox(label="Statistics", lines=6)
|
198 |
+
dashboard_plot = gr.Plot(label="Monitoring Dashboard")
|
199 |
|
200 |
def update_map(region):
|
201 |
+
try:
|
202 |
+
return create_map(region)
|
203 |
+
except Exception as e:
|
204 |
+
print(f"Error updating map: {e}")
|
205 |
+
return (
|
206 |
+
"<p>Map loading failed. Please try again.</p>",
|
207 |
+
go.Figure(),
|
208 |
+
f"Error: {str(e)}"
|
209 |
+
)
|
210 |
|
211 |
refresh_btn.click(
|
212 |
fn=update_map,
|
|
|
219 |
inputs=[region_select],
|
220 |
outputs=[map_html, dashboard_plot, stats_text]
|
221 |
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
222 |
|
223 |
+
# Launch with specific configurations
|
224 |
+
demo.launch(
|
225 |
+
show_error=True,
|
226 |
+
server_name="0.0.0.0",
|
227 |
+
server_port=7860,
|
228 |
+
share=False
|
229 |
+
)
|
230 |
+
|
231 |
+
|