Update pages/Hail.py

pages/Hail.py

@@ -1,92 +1,4 @@
 
-
-# -*- coding: utf-8 -*-
-"""
-Created on Tue Dec  6 09:56:29 2022
-
-@author: mritchey
-"""
-#streamlit run "C:\Users\mritchey\.spyder-py3\Python Scripts\streamlit projects\mrms\mrms_hail2 buffer.py"
-
-import plotly.express as px
-import os
-from PIL import Image
-from joblib import Parallel, delayed
-import pandas as pd
-import streamlit as st
-from geopy.extra.rate_limiter import RateLimiter
-from geopy.geocoders import Nominatim
-import folium
-from streamlit_folium import st_folium
-import math
-import geopandas as gpd
-from skimage.io import imread
-from streamlit_plotly_events import plotly_events
-import requests
-from requests.packages.urllib3.exceptions import InsecureRequestWarning
-import rasterio
-import rioxarray
-import numpy as np
-
-
-@st.cache(allow_output_mutation=True)
-def geocode(address, buffer_size):
-    try:
-        address2 = address.replace(' ', '+').replace(',', '%2C')
-        df = pd.read_json(
-            f'https://geocoding.geo.census.gov/geocoder/locations/onelineaddress?address={address2}&benchmark=2020&format=json')
-        results = df.iloc[:1, 0][0][0]['coordinates']
-        lat, lon = results['y'], results['x']
-    except:
-        geolocator = Nominatim(user_agent="GTA Lookup")
-        geocode = RateLimiter(geolocator.geocode, min_delay_seconds=1)
-        location = geolocator.geocode(address)
-        lat, lon = location.latitude, location.longitude
-
-    df = pd.DataFrame({'Lat': [lat], 'Lon': [lon]})
-    gdf = gpd.GeoDataFrame(
-        df, geometry=gpd.points_from_xy(df.Lon, df.Lat, crs=4326))
-    gdf['buffer'] = gdf['geometry'].to_crs(
-        3857).buffer(buffer_size/2*2580).to_crs(4326)
-    return gdf
-
-
-@st.cache(allow_output_mutation=True)
-def get_pngs(date):
-    year, month, day = date[:4], date[4:6], date[6:]
-    url = f'https://mrms.nssl.noaa.gov/qvs/product_viewer/local/render_multi_domain_product_layer.php?mode=run&cpp_exec_dir=/home/metop/web/specific/opv/&web_resources_dir=/var/www/html/qvs/product_viewer/resources/&prod_root={prod_root}&qperate_pal_option=0&qpe_pal_option=0&year={year}&month={month}&day={day}&hour={hour}&minute={minute}&clon={lon}&clat={lat}&zoom={zoom}&width=920&height=630'
-    data = imread(url)[:, :, :3]
-    data2 = data.reshape(630*920, 3)
-    data2_df = pd.DataFrame(data2, columns=['R', 'G', 'B'])
-    data2_df2 = pd.merge(data2_df, lut[['R', 'G', 'B', 'Hail Scale', 'Hail Scale In']], on=['R', 'G', 'B'],
-                         how='left')[['Hail Scale', 'Hail Scale In']]
-    data2_df2['Date'] = date
-    return data2_df2.reset_index()
-
-
-@st.cache(allow_output_mutation=True)
-def get_pngs_parallel(dates):
-    results1 = Parallel(n_jobs=32, prefer="threads")(
-        delayed(get_pngs)(i) for i in dates)
-    return results1
-
-
-@st.cache(allow_output_mutation=True)
-def png_data(date):
-    year, month, day = date[:4], date[4:6], date[6:]
-    url = f'https://mrms.nssl.noaa.gov/qvs/product_viewer/local/render_multi_domain_product_layer.php?mode=run&cpp_exec_dir=/home/metop/web/specific/opv/&web_resources_dir=/var/www/html/qvs/product_viewer/resources/&prod_root={prod_root}&qperate_pal_option=0&qpe_pal_option=0&year={year}&month={month}&day={day}&hour={hour}&minute={minute}&clon={lon}&clat={lat}&zoom={zoom}&width=920&height=630'
-    data = imread(url)
-    return data
-
-
-@st.cache(allow_output_mutation=True)
-def map_folium(data, gdf):
-    m = folium.Map(location=[lat, lon],  zoom_start=zoom, height=300)
-    folium.Marker(
-        location=[lat, lon],
-        popup=address).add_to(m)
-
-    folium.GeoJson(gdf['buffer']).add_to(m)
     folium.raster_layers.ImageOverlay(
         data, opacity=0.8, bounds=bounds).add_to(m)
     return m
@@ -300,7 +212,4 @@ except:
 st.markdown(""" <style>
 #MainMenu {visibility: hidden;}
 footer {visibility: hidden;}
-</style> """, unsafe_allow_html=True)
-
-
-
+</style> """, unsafe_allow_html=True)