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import numpy as np
import streamlit as st
import requests
import pydeck as pdk
import pandas as pd
import geopandas as gpd
import plotly.express as px
import folium
import webbrowser
from shapely.geometry import Point
from folium import plugins
from streamlit_folium import st_folium
def load_polygon(filepath):
return gpd.read_file(filepath)
path=''
# Polygon1 = load_polygon(path + 'risk_zones.shp')
# Polygon2 = load_polygon(path + 'n_inondable_01_01for_s.shp')
# Polygon3 = load_polygon(path + 'ZUS_FRM_BDA09_L93.shp')
#
# Initialize polygons if not already in session state
if 'polygons' not in st.session_state:
st.session_state.polygons = {
"Polygon1": load_polygon(path+'risk_zones.shp'),
"Polygon2": load_polygon(path+'n_inondable_01_01for_s.shp'),
"Polygon3": load_polygon(path+'ZUS_FRM_BDA09_L93.shp'),
"Polygon4": load_polygon(path+'ZFU_FRM_Scan25_L93.shp')
}
if 'polygons' in st.session_state:
st.session_state.polygons["Polygon1"]['geometry'] = st.session_state.polygons["Polygon1"]['geometry'].to_crs(epsg=4326)
st.session_state.polygons["Polygon2"]['geometry'] = st.session_state.polygons["Polygon2"]['geometry'].to_crs(epsg=4326)
st.session_state.polygons["Polygon3"]['geometry'] = st.session_state.polygons["Polygon3"]['geometry'].to_crs(epsg=4326)
st.session_state.polygons["Polygon4"]['geometry'] = st.session_state.polygons["Polygon4"]['geometry'].to_crs(epsg=4326)
def create_geodataframe(longitude, latitude):
geometry = [Point(longitude, latitude)]
gdf = gpd.GeoDataFrame(geometry=geometry, crs="EPSG:4326")
return gdf
def get_address_suggestions(query):
if not query:
return []
url = "https://api-adresse.data.gouv.fr/search/"
params = {'q': query, 'autocomplete': 1, 'limit': 5}
response = requests.get(url, params=params)
if response.status_code == 200:
data = response.json()
suggestions = [{'label': feature['properties']['label'], 'coordinates': feature['geometry']['coordinates']}
for feature in data['features']]
return suggestions
else:
return []
# Function to create a map
def create_map(latitude, longitude):
map_data = pd.DataFrame({
'lat': [latitude],
'lon': [longitude]
})
st.pydeck_chart(pdk.Deck(
map_style='mapbox://styles/mapbox/light-v9',
initial_view_state=pdk.ViewState(
latitude=latitude,
longitude=longitude,
zoom=11,
pitch=50,
),
layers=[
pdk.Layer(
'ScatterplotLayer',
data=map_data,
get_position='[lon, lat]',
get_color='[200, 30, 0, 160]',
get_radius=200,
),
],
))
# Streamlit app layout
def main():
st.title("Immopolis Adress validation APP")
# Session state to store the current suggestions
if 'suggestions' not in st.session_state:
st.session_state.suggestions = []
# Text input for address with on_change callback
query = st.text_input("Enter your address", "", key="query")
# Update suggestions when query changes
st.session_state.suggestions = get_address_suggestions(query)
# Display autocomplete suggestions
if query:
selected_suggestion = st.selectbox("Did you mean:", [s['label'] for s in st.session_state.suggestions], index=0,
key="selected_suggestion")
else:
selected_suggestion = ""
if selected_suggestion:
selected_data = next((item for item in st.session_state.suggestions if item['label'] == selected_suggestion),
None)
if selected_data and 'coordinates' in selected_data:
longitude, latitude = selected_data['coordinates']
st.write(f"Latitude: {latitude}, Longitude: {longitude}")
#m = folium.Map(location=[longitude, latitude], zoom_start=6)
gdf = create_geodataframe(longitude, latitude)
gdf['geometry'] = gdf['geometry'].to_crs(epsg=4326)
st.write(gdf)
polygon_name1=gpd.sjoin(gdf, st.session_state.polygons["Polygon1"], how="left", predicate="within")['index_right']
polygon_name2=gpd.sjoin(gdf, st.session_state.polygons["Polygon2"], how="left", predicate="within")['index_right']
polygon_name3=gpd.sjoin(gdf, st.session_state.polygons["Polygon3"], how="left", predicate="within")['index_right']
polygon_name4=gpd.sjoin(gdf, st.session_state.polygons["Polygon4"], how="left", predicate="within")['index_right']
m=folium.Map([gdf['geometry'].y, gdf['geometry'].x],zoom_start = 15)
folium.CircleMarker([gdf['geometry'].y, gdf['geometry'].x], radius=1, color='red').add_to(m)
#folium.GeoJson(st.session_state.polygons["Polygon2"], color='blue').add_to(m)
#folium.GeoJson(st.session_state.polygons["Polygon3"], color='orange').add_to(m)
if not np.isnan(polygon_name1[0]):
folium.GeoJson(st.session_state.polygons["Polygon1"][st.session_state.polygons["Polygon1"].index==polygon_name1[0]],color='yellow').add_to(m)
if not np.isnan(polygon_name2[0]):
folium.GeoJson(st.session_state.polygons["Polygon2"][st.session_state.polygons["Polygon2"].index==polygon_name2[0]],color='blue').add_to(m)
if not np.isnan(polygon_name3[0]):
folium.GeoJson(st.session_state.polygons["Polygon3"][st.session_state.polygons["Polygon3"].index==polygon_name3[0]],color='orange').add_to(m)
if not np.isnan(polygon_name4[0]):
folium.GeoJson(st.session_state.polygons["Polygon4"][st.session_state.polygons["Polygon4"].index==polygon_name4[0]],color='grey').add_to(m)
point = Point(longitude, latitude)
if not np.isnan(polygon_name1[0]):
st.markdown(f"Address is High risk zone", unsafe_allow_html=True)
if not np.isnan(polygon_name2[0]):
st.markdown(f"Address is in flooding area", unsafe_allow_html=True)
if not np.isnan(polygon_name3[0]):
st.markdown(f"Address is in sensitive area", unsafe_allow_html=True)
if not np.isnan(polygon_name4[0]):
st.markdown(f"Address is in sensitive neighborhood", unsafe_allow_html=True)
if np.isnan(polygon_name1[0]) and np.isnan(polygon_name2[0]) and np.isnan(polygon_name3[0]) and np.isnan(polygon_name4[0]):
st.markdown(f"Risk check OK", unsafe_allow_html=True)
st_folium(m, width=700, height=500)
# Run the app
if __name__ == "__main__":
main()
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