File size: 10,116 Bytes
93d4de6 7226544 48b88be 93d4de6 0e91127 93d4de6 7226544 93d4de6 0e91127 93d4de6 0e91127 93d4de6 0e91127 93d4de6 7226544 93d4de6 7226544 93d4de6 0e91127 93d4de6 0e91127 7226544 93d4de6 0e91127 93d4de6 dc80681 93d4de6 dc80681 93d4de6 7226544 93d4de6 7226544 93d4de6 7226544 0e91127 93d4de6 0e91127 93d4de6 0e91127 7226544 0e91127 93d4de6 0e91127 7226544 0e91127 93d4de6 7226544 93d4de6 7226544 93d4de6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 |
import streamlit as st
import folium
from streamlit_folium import folium_static
from folium.plugins import MarkerCluster
import time
import math
# Wide mode
st.set_page_config(layout="wide")
# Define California medical centers data
california_med_centers = [
('UCSF Medical Center', 37.7631, -122.4576, 'General medical and surgical', 'San Francisco'),
('Cedars-Sinai Medical Center', 34.0762, -118.3790, 'Heart specialty', 'Los Angeles'),
('Stanford Health Care', 37.4331, -122.1750, 'Teaching hospital', 'Stanford'),
('UCLA Medical Center', 34.0659, -118.4466, 'Research and teaching', 'Los Angeles'),
('Scripps La Jolla Hospitals', 32.8851, -117.2255, 'Multiple specialties', 'La Jolla'),
('Sharp Memorial Hospital', 32.7992, -117.1542, 'Trauma center', 'San Diego'),
('Huntington Hospital', 34.1330, -118.1475, 'Non-profit hospital', 'Pasadena'),
('Hoag Memorial Hospital', 33.6045, -117.8664, 'Community hospital', 'Newport Beach'),
('UCSD Medical Center', 32.7554, -117.1682, 'Academic health center', 'San Diego'),
('UC Davis Medical Center', 38.5539, -121.4554, 'Public academic health', 'Sacramento'),
('John Muir Medical Center', 37.9192, -122.0426, 'Heart care', 'Walnut Creek'),
('Santa Clara Valley Medical Center', 37.3121, -121.9769, 'County hospital', 'San Jose'),
('Kaiser Permanente San Francisco', 37.7741, -122.4179, 'Health maintenance organization', 'San Francisco'),
('City of Hope', 34.1285, -117.9665, 'Cancer center', 'Duarte'),
('UCI Medical Center', 33.7886, -117.8572, 'University hospital', 'Orange'),
('Good Samaritan Hospital', 34.0506, -118.2831, 'Private hospital', 'Los Angeles'),
('Los Angeles County General', 34.0581, -118.2917, 'Public hospital', 'Los Angeles'),
('California Pacific Medical Center', 37.7864, -122.4357, 'Private non-profit', 'San Francisco'),
('Sutter Roseville Medical Center', 38.7521, -121.2760, 'General medical and surgical', 'Roseville'),
('St. Joseph Hospital', 33.7821, -117.9188, 'Faith-based care', 'Orange')
]
# Initialize session state
if 'car_position' not in st.session_state:
st.session_state.car_position = [37.7631, -122.4576]
if 'is_moving' not in st.session_state:
st.session_state.is_moving = False
if 'start' not in st.session_state:
st.session_state.start = california_med_centers[0]
if 'destination' not in st.session_state:
st.session_state.destination = california_med_centers[1]
if 'start_time' not in st.session_state:
st.session_state.start_time = None
if 'elapsed_time' not in st.session_state:
st.session_state.elapsed_time = 0
if 'arrived' not in st.session_state:
st.session_state.arrived = False
# Distance calculation (Haversine in miles)
def calculate_distance(lat1, lon1, lat2, lon2):
R = 3958.8
lat1_rad, lon1_rad = math.radians(lat1), math.radians(lon1)
lat2_rad, lon2_rad = math.radians(lat2), math.radians(lon2)
dlat = lat2_rad - lat1_rad
dlon = lon2_rad - lon1_rad
a = math.sin(dlat / 2)**2 + math.cos(lat1_rad) * math.cos(lat2_rad) * math.sin(dlon / 2)**2
c = 2 * math.atan2(math.sqrt(a), math.sqrt(1 - a))
return R * c
# Create map
def create_map():
m = folium.Map(location=st.session_state.car_position, zoom_start=13, tiles="CartoDB Positron")
marker_cluster = MarkerCluster().add_to(m)
for center in california_med_centers:
folium.Marker(
location=[center[1], center[2]],
popup=f'<b>{center[0]}</b><br>{center[3]}<br>{center[4]}',
icon=folium.Icon(color='red')
).add_to(marker_cluster)
folium.Marker(
location=st.session_state.car_position,
popup='Hovercar',
icon=folium.Icon(color='purple', icon='rocket', prefix='fa')
).add_to(m)
return m
# Move hovercar with constant speed
def move_car(total_distance, step_time):
target = [st.session_state.destination[1], st.session_state.destination[2]]
current = st.session_state.car_position
remaining_distance = calculate_distance(current[0], current[1], target[0], target[1])
# Speed in miles per second
total_time = 25.0 # Total trip time in seconds
speed = total_distance / total_time # miles per second
step_distance = speed * step_time # Distance per step
# Calculate direction and move
total_lat_diff = target[0] - current[0]
total_lon_diff = target[1] - current[1]
total_hyp = math.sqrt(total_lat_diff**2 + total_lon_diff**2)
if total_hyp > 0:
lat_step = (total_lat_diff / total_hyp) * step_distance / (calculate_distance(current[0], current[1], current[0] + 0.01, current[1]) / 0.01)
lon_step = (total_lon_diff / total_hyp) * step_distance / (calculate_distance(current[0], current[1], current[0], current[1] + 0.01) / 0.01)
st.session_state.car_position[0] += lat_step
st.session_state.car_position[1] += lon_step
# Check arrival
if remaining_distance < 0.1: # Within 0.1 miles
st.session_state.car_position = target
st.session_state.is_moving = False
st.session_state.arrived = True
# Calculate speed and ETA
total_distance = calculate_distance(st.session_state.start[1], st.session_state.start[2],
st.session_state.destination[1], st.session_state.destination[2])
step_time = 0.5
total_time = 25.0 # Fixed total trip time
speed = total_distance / (total_time / 3600) # mph
# Layout: 75% left, 25% right
left_col, right_col = st.columns([3, 1])
# Left column: Map (16x9, 2/3 larger)
with left_col:
st.markdown("### π Hovercar Command Center πΈ")
m = create_map()
folium_static(m, width=2133, height=1200) # 16:9 ratio, 2/3 larger than 1280x720
# Controls
col1, col2, col3 = st.columns(3)
with col1:
if st.button("π Launch Hovercar"):
st.session_state.is_moving = True
st.session_state.start_time = time.time()
st.session_state.arrived = False
with col2:
if st.button("π Halt Hovercar"):
st.session_state.is_moving = False
st.session_state.start_time = None
with col3:
if st.button("π Reset to Start"):
st.session_state.car_position = [st.session_state.start[1], st.session_state.start[2]]
st.session_state.is_moving = False
st.session_state.start_time = None
st.session_state.elapsed_time = 0
st.session_state.arrived = False
st.rerun()
# Celebration on arrival
if st.session_state.arrived:
st.markdown("""
<style>
.confetti {
position: absolute;
width: 10px;
height: 10px;
background-color: #f00;
animation: fall 3s infinite;
}
@keyframes fall {
0% { transform: translateY(-100vh); }
100% { transform: translateY(100vh); }
}
</style>
<div class="confetti" style="left: 10%; background-color: #f00;"></div>
<div class="confetti" style="left: 20%; background-color: #0f0;"></div>
<div class="confetti" style="left: 30%; background-color: #00f;"></div>
<div class="confetti" style="left: 40%; background-color: #ff0;"></div>
<div class="confetti" style="left: 50%; background-color: #f0f;"></div>
<div class="confetti" style="left: 60%; background-color: #0ff;"></div>
""", unsafe_allow_html=True)
st.success("π Touchdown! Hovercar has landed!")
# Easter egg: Secret message
if st.session_state.destination[0] == "Stanford Health Care":
st.warning("π¦ Easter Egg Unlocked: Hovercar found the secret unicorn base at Stanford!")
# Right column: Stats and two sub-columns for buttons
with right_col:
st.markdown("### π‘ Mission Status")
remaining_distance = calculate_distance(
st.session_state.car_position[0], st.session_state.car_position[1],
st.session_state.destination[1], st.session_state.destination[2]
)
st.write(f"**Start**: {st.session_state.start[0]} ({st.session_state.start[1]:.4f}, {st.session_state.start[2]:.4f})")
st.write(f"**Destination**: {st.session_state.destination[0]} ({st.session_state.destination[1]:.4f}, {st.session_state.destination[2]:.4f})")
st.write(f"**Total Distance**: {total_distance:.1f} miles")
st.write(f"**Remaining Distance**: {remaining_distance:.1f} miles")
st.write(f"**Speed**: {speed:.1f} mph")
st.write(f"**ETA**: {total_time:.1f} seconds")
if st.session_state.is_moving:
elapsed = st.session_state.elapsed_time
st.write(f"**Elapsed Time**: {elapsed:.1f} seconds")
# Two sub-columns for start and destination
start_col, dest_col = st.columns(2)
with start_col:
st.write("**π¦ Start Points**")
for center in california_med_centers:
if st.button(f"π {center[0]}", key=f"start_{center[0]}"):
st.session_state.start = center
st.session_state.car_position = [center[1], center[2]]
st.session_state.is_moving = False
st.session_state.start_time = None
st.session_state.elapsed_time = 0
st.session_state.arrived = False
st.rerun()
with dest_col:
st.write("**π Destinations**")
for center in california_med_centers:
if st.button(f"π― {center[0]}", key=f"dest_{center[0]}"):
st.session_state.destination = center
st.session_state.is_moving = False
st.session_state.start_time = None
st.session_state.elapsed_time = 0
st.session_state.arrived = False
st.rerun()
# Movement logic
if st.session_state.is_moving:
move_car(total_distance, step_time)
if st.session_state.start_time:
st.session_state.elapsed_time = time.time() - st.session_state.start_time
time.sleep(step_time)
st.rerun() |