import folium import pandas as pd from folium import plugins from src.map_utils import legend_macro import leafmap.foliumap as leafmap EPICENTER_LOCATION = [31.12210171476489, -8.42945837915193] BORDER_COLOR = "black" def parse_gg_sheet(url): url = url.replace("edit#gid=", "export?format=csv&gid=") df = pd.read_csv(url, on_bad_lines="warn") return df # Session for Requests # session = requests.Session() # @st.cache_data(persist=True) # def parse_latlng_from_link(url): # try: # # extract latitude and longitude from gmaps link # if "@" not in url: # resp = session.head(url, allow_redirects=True) # url = resp.url # latlng = url.split("@")[1].split(",")[0:2] # return [float(latlng[0]), float(latlng[1])] # except Exception as e: # return None def add_latlng_col(df, process_column): """Add a latlng column to the dataframe""" df = df.assign(latlng=df.iloc[:, process_column].apply(parse_latlng)) return df # parse latlng (column 4) to [lat, lng] import re def parse_latlng(latlng): if pd.isna(latlng): return None # lat, lng = latlng.split(",") # return [float(lat), float(lng)] try: # check if it matches (30.9529832, -7.1010705) or (30.9529832,-7.1010705) if re.match(r"\(\d+\.\d+,\s?-\d+\.\d+\)", latlng): lat, lng = latlng[1:-1].split(",") return [float(lat), float(lng)] # check of it matches 30.9529832, -7.1010705 or 30.9529832,-7.1010705 elif re.match(r"\d+\.\d+,\s?-\d+\.\d+", latlng): lat, lng = latlng.split(",") return [float(lat), float(lng)] # check if it matches 30,9529832, -7,1010705 or 30,9529832,-7,1010705, match1=30,9529832 and match2=-7,1010705 elif re.match(r"\d+,\d+,\s?-\d+,\d+", latlng): d1, d2, d3, d4 = latlng.split(",") return [float(".".join([d1, d2])), float(".".join([d3, d4]))] except Exception as e: print(f"Error parsing latlng: {latlng} Reason: {e}") return None print(f"Error parsing latlng: {latlng}") return None def add_epicentre_to_map(map_obj): icon_epicentre = folium.plugins.BeautifyIcon( icon='spinner', spin=True, border_color='#b3334f', background_color='#b3334f', text_color='white' ) folium.Marker(location=EPICENTER_LOCATION, popup="Epicenter مركز الزلزال", icon=icon_epicentre).add_to(map_obj) def add_danger_distances_to_map(map_obj): Danger_Distances_group = folium.FeatureGroup(name='Danger distances - earthquake magnitude 7 | مسافات الخطر - قوة الزلازل 7').add_to(map_obj) zones = [ {"radius": 100000, "fill_opacity": 0.1, "weight": 1, "fill_color": "yellow", "tooltip": "50 to 100 km - Moderate risk area | منطقة خطر معتدلة"}, {"radius": 50000, "fill_opacity": 0.1, "weight": 1, "fill_color": "orange", "tooltip": "30 to 50 km - High risk zone | منطقة عالية المخاطر"}, {"radius": 30000, "fill_opacity": 0.2, "weight": 1, "fill_color": "#FF0000", "tooltip": "10 to 30 km - Very high risk zone | منطقة شديدة الخطورة"}, {"radius": 10000, "fill_opacity": 0.2, "weight": 0.2, "fill_color": "#8B0000", "tooltip": "0 to 10km - direct impact zone | منطقة التأثير المباشر"} ] for zone in zones: folium.Circle( location=EPICENTER_LOCATION, radius=zone["radius"], color=BORDER_COLOR, weight=zone["weight"], fill_opacity=zone["fill_opacity"], opacity=zone["fill_opacity"], # Assuming border opacity should match fill_opacity fill_color=zone["fill_color"], tooltip=zone["tooltip"], ).add_to(Danger_Distances_group) def init_map(): m = leafmap.Map( center=[31.228674, -7.992047], zoom=8.5, height="800px", max_bounds=True, min_zoom=8.5, max_lat=35.628674, min_lat=29.628674, max_lng=-4.992047, min_lng=-10.992047 ) # Add a search bar to the map plugins.Geocoder( collapsed=False, position="topright", placeholder="Search | البحث", ).add_to(m) # Add Fullscreen button to the map plugins.Fullscreen( position="topright", title="Expand me | تكبير الخريطة", title_cancel="Exit me | تصغير الخريطة", force_separate_button=True, ).add_to(m) # Satellite View from Mapbox tileurl = "https://api.mapbox.com/styles/v1/phd2020/clmer2mra01d001pbgjkictpt/tiles/256/{z}/{x}/{y}@2x?access_token=pk.eyJ1IjoicGhkMjAyMCIsImEiOiJja29lZzFwZmUwNHkzMm5wMjZnYjVvcGltIn0.tE0ritrelQOyLdKUH6hgOw" folium.TileLayer( tiles=tileurl, attr="Satellite View", name="Satellite View | عرض القمر الصناعي", overlay=False, control=True, ).add_to(m) # Json with refreshed images from maxar mosaics = ['10300100CB8C5600'] #,'10300100CBAF7D00'] #,'10300100E5404900','10300100E5A0A100'] #,'10300100EB8B4500','10300100EBC1A000','10300100ECC53700','10300100ED11EA00','10300500CFF91800','10300500E4F91400','10300500E4F91500','10300500E4F91700','10300500E4F91800','10300500E4F91900','10400100797DAC00','1040010083289000','10400100889ABF00','104001008A8E9800','104001008B75BB00','1040050047DC6400','1040050057DC8500','1050050030DE8900'] for i, mosaic_id in enumerate(mosaics): mosaic = f'https://open.gishub.org/maxar-open-data/datasets/Morocco-Earthquake-Sept-2023/{mosaic_id}.json' m.add_stac_layer(mosaic, name=f'mosaic_id_{i}') # Add danger zones add_epicentre_to_map(m) add_danger_distances_to_map(m) # Add a LayerControl to the map to toggle between layers (Satellite View and Default One) folium.LayerControl().add_to(m) # Macro to add legend m.get_root().add_child(legend_macro) return m