Delete weather_app.py

weather_app.py

@@ -1,444 +0,0 @@
-import os
-import json
-import pathlib
-import mimetypes
-import gpxpy
-import pandas as pd
-import gradio as gr
-from datetime import datetime, timedelta
-
-import pytz
-from sunrisesunset import SunriseSunset
-from timezonefinder import TimezoneFinder
-tf = TimezoneFinder()
-from beaufort_scale.beaufort_scale import beaufort_scale_ms
-
-from wordsegment import load, segment
-load()
-
-import srtm
-elevation_data = srtm.get_data()
-
-import requests
-
-from geopy.geocoders import Nominatim
-geolocator = Nominatim(user_agent='FreeLetzWeather')
-
-from apscheduler.schedulers.background import BackgroundScheduler
-
-### Default variables ###
-
-# Met no weather forecast API
-url = 'https://api.met.no/weatherapi/locationforecast/2.0/complete'
-headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/111.0.0.0 Safari/537.36'}
-
-# Weather icons URL
-icon_url = 'https://raw.githubusercontent.com/metno/weathericons/89e3173756248b4696b9b10677b66c4ef435db53/weather/svg/'
-
-# Custom CSS
-css = '''
-#button {background: DarkGoldenrod;}
-.buttons {color: white;}
-#table {height: 1080px;}
-.tables {height: 1080px;}
-
-.required-dropdown input:focus {
-    color: white;
-    background-color: DarkGoldenrod;
-    box-shadow: 0 0 0 12px DarkGoldenrod;
-}
-'''
-# Default coordinates
-params = {'lat': 49.6108, 'lon': 6.1326, 'altitude': 310}
-lat=params['lat']
-lon=params['lon']
-altitude=params['altitude']
-
-# Default GPX if none is uploaded
-#directory = os.path.dirname(os.path.abspath(__file__))
-gpx_file = os.path.join(os.getcwd(), 'default_gpx.gpx')
-gpx_path = pathlib.Path(gpx_file)
-
-'''
-# Default dates
-#forecast_days = 3
-today = datetime.today()
-day_read = today.strftime('%A %-d %B')
-day_print = '<h2>' + day_read + '</h2>'
-dates_read = [(today + timedelta(days=x)).strftime('%A %-d %B %Y') for x in range(forecast_days)]
-dates_filt = [(today + timedelta(days=x)).strftime('%Y-%m-%d') for x in range(forecast_days)]
-dates_dict = dict(zip(dates_read, dates_filt))
-dates_list = list(dates_dict.keys())
-'''
-
-### Functions ###
-
-# Pluviometry to natural language
-def rain_intensity(precipt):
-    if precipt >= 50:
-        rain = 'Extreme rain'
-    elif 50  < precipt <= 16:
-        rain = 'Very heavy rain'
-    elif 4  <= precipt < 16:
-        rain = 'Heavy rain'
-    elif 1  <= precipt < 4:
-        rain = 'Moderate rain'
-    elif 0.25  <= precipt < 1:
-        rain = 'Light rain'
-    elif 0 < precipt < 0.25:
-        rain = 'Light drizzle'
-    else:
-        rain = ''
-    return rain
-
-# Generate dates for which the forecast is available
-# (today plus 10 days ahead)
-
-'''
-def gen_dates():
-
-    global dates_dict
-    global dates_list
-    global day_read
-    global today
-
-    today = datetime.today()
-    day_read = today.strftime('%A %-d %B')
-    dates_read = [(today + timedelta(days=x)).strftime('%A %-d %B %Y') for x in range(forecast_days)]
-    dates_filt = [(today + timedelta(days=x)).strftime('%Y-%m-%d') for x in range(forecast_days)]
-    dates_dict = dict(zip(dates_read, dates_filt))
-    dates_list = list(dates_dict.keys())
-    return dates_dict
-'''
-
-def gen_dates():
-
-    global dates_filt
-    global dates_dict
-    global dates_list
-    global day_read
-    global today
-
-    today = datetime.today()
-    day_read = today.strftime('%A %-d %B')
-
-    resp = requests.get(url=url, headers=headers, params=params)
-    data = resp.json()
-
-    dates_aval = []
-    for d in data['properties']['timeseries']:
-        if 'next_1_hours' in d['data']:
-            date = datetime.strptime(d['time'], '%Y-%m-%dT%H:%M:%SZ')
-            dates_aval.append(date.date())
-
-    dates_aval = sorted(set(dates_aval))
-
-    if len(dates_aval) > 3:
-        dates_aval = dates_aval[:3]
-
-    dates_read = [x.strftime('%A %-d %B %Y') for x in dates_aval]
-    dates_filt = [x.strftime('%Y-%m-%d') for x in dates_aval]
-
-
-    dates_dict = dict(zip(dates_read, dates_filt))
-    dates_list = list(dates_dict.keys())
-
-    return dates_dict
-
-def gen_dates_list():
-
-    global dates_filt
-    global dates_dict
-    global dates_list
-    global day_read
-    global today
-
-    today = datetime.today()
-    day_read = today.strftime('%A %-d %B')
-
-    resp = requests.get(url=url, headers=headers, params=params)
-    data = resp.json()
-
-    dates_aval = []
-    for d in data['properties']['timeseries']:
-        if 'next_1_hours' in d['data']:
-            date = datetime.strptime(d['time'], '%Y-%m-%dT%H:%M:%SZ')
-            dates_aval.append(date.date())
-
-    dates_aval = sorted(set(dates_aval))
-
-    if len(dates_aval) > 3:
-        dates_aval = dates_aval[:3]
-
-    dates_read = [x.strftime('%A %-d %B %Y') for x in dates_aval]
-    dates_filt = [x.strftime('%Y-%m-%d') for x in dates_aval]
-
-
-    dates_dict = dict(zip(dates_read, dates_filt))
-    dates_list = list(dates_dict.keys())
-
-    return dates_list
-
-def gen_dropdown():
-
-    global dates_filt
-    global dates_dict
-    global dates_list
-    global day_read
-    global today
-
-    today = datetime.today()
-    day_read = today.strftime('%A %-d %B')
-
-    resp = requests.get(url=url, headers=headers, params=params)
-    data = resp.json()
-
-    dates_aval = []
-    for d in data['properties']['timeseries']:
-        if 'next_1_hours' in d['data']:
-            date = datetime.strptime(d['time'], '%Y-%m-%dT%H:%M:%SZ')
-            dates_aval.append(date.date())
-
-    dates_aval = sorted(set(dates_aval))
-
-    if len(dates_aval) > 3:
-        dates_aval = dates_aval[:3]
-
-    dates_read = [x.strftime('%A %-d %B %Y') for x in dates_aval]
-    dates_filt = [x.strftime('%Y-%m-%d') for x in dates_aval]
-
-
-    dates_dict = dict(zip(dates_read, dates_filt))
-    dates_list = list(dates_dict.keys())
-
-    dates = gr.Dropdown(choices=dates_list, label='2. Pick up the date of your hike', value=dates_list[0], interactive=True, elem_classes='required-dropdown')
-
-    return dates
-
-# Default dates
-#forecast_days = 3
-today = datetime.today()
-day_read = today.strftime('%A %-d %B')
-day_print = '<h2>' + day_read + '</h2>'
-dates_dict = gen_dates()
-dates_list = list(dates_dict.keys())
-dates_read = list(dates_dict.keys())
-dates_filt = list(dates_dict.values())
-
-def sunrise_sunset(lat, lon, day):
-
-    tz = tf.timezone_at(lng=lon, lat=lat)
-    zone = pytz.timezone(tz)
-
-    dt = day.astimezone(zone)
-
-    rs = SunriseSunset(dt, lat=lat, lon=lon, zenith='official')
-    rise_time, set_time = rs.sun_rise_set
-
-    sunrise = rise_time.strftime('%H:%M')
-    sunset = set_time.strftime('%H:%M')
-
-    sunrise_icon = '<img style="float: left;" width="24px" src=' + icon_url + 'clearsky_day.svg>'
-    sunset_icon = '<img style="float: left;" width="24px" src=' + icon_url + 'clearsky_night.svg>'
-
-    sunrise = '<h6>' + sunrise_icon  + ' Sunrise ' + sunrise + '</h6>'
-    sunset = '<h6>' + sunset_icon + ' Sunset ' + sunset + '</h6>'
-
-    return sunrise, sunset
-
-sunrise, sunset = sunrise_sunset(lat, lon, today)
-
-# Download the JSON and filter it per date
-def json_parser(date):
-
-    global dfs
-    #global dates_dict
-    #global dates_list
-
-    #dates_dict = gen_dates()
-    #dates_list = list(dates_dict.keys())
-    resp = requests.get(url=url, headers=headers, params=params)
-    data = resp.json()
-
-    day = date
-
-    dict_weather = {'Time': [], 'Weather': [], 'Weather outline': [], 'Temp (°C)': [], 'Rain (mm/h)': [], 'Rain level': [], 'Wind (m/s)': [], 'Wind level': [] }
-
-
-    #av_dates = []
-    for d in data['properties']['timeseries']:
-        date = datetime.strptime(d['time'], '%Y-%m-%dT%H:%M:%SZ')
-        date_read = date.strftime('%Y-%m-%d')
-        #av_dates.append(date.date())
-
-        if date_read == day:
-            dict_weather['Time'].append(date.strftime('%H'))
-            weather = d['data']['next_1_hours']['summary']['symbol_code']
-            icon_path = '<img style="float: left; padding: 0; margin: -6px; display: block;" width=32px; src=' + icon_url + weather + '.svg>'
-            dict_weather['Weather'].append(icon_path)
-            weather_read = ' '.join(segment(weather.replace('_', '')))
-            dict_weather['Weather outline'].append(weather_read)
-            temp = d['data']['instant']['details']['air_temperature']
-            dict_weather['Temp (°C)'].append(str(int(round(temp, 0))) + '°')
-            rain = d['data']['next_1_hours']['details']['precipitation_amount']
-            dict_weather['Rain (mm/h)'].append(rain)
-            dict_weather['Rain level'].append(rain_intensity(rain))
-            wind = d['data']['instant']['details']['wind_speed']
-            dict_weather['Wind (m/s)'].append(wind)
-            dict_weather['Wind level'].append(beaufort_scale_ms(wind, language='en'))
-
-    df = pd.DataFrame(dict_weather)
-
-    df['Weather outline'] = df['Weather outline'].str.capitalize().str.replace(' night','').str.replace(' day','')
-    df[['Rain (mm/h)', 'Wind (m/s)']] = df[['Rain (mm/h)', 'Wind (m/s)']].round(1).replace({0:''}).astype(str)
-
-    #df.to_csv('weather.csv', index=False)
-
-    dfs = df.style.set_properties(**{'border': '0px'})
-
-    return dfs
-
-dfs = json_parser(dates_filt[0])
-
-# Extract coordinates and location from GPX file
-# gpx_name = '1. Click the upload GPX button to begin'
-def coor_gpx(gpx):
-
-    global gpx_name
-    global params
-    global lat
-    global lon
-    global altitude
-    global location
-    global dates_dict
-    global dates_list
-    global day_read
-
-    dates_dict = gen_dates()
-    dates_list = list(dates_dict.keys())
-    day_read = dates_list[0]
-    date_filt = datetime.strptime(day_read, '%A %d %B %Y')
-    date_filt = date_filt.strftime('%Y-%m-%d')
-    day_print = '<h2>' + day_read + '</h2>'
-
-    #if mimetypes.guess_type(gpx.name)[0] in ['application/gpx+xml', 'application/xml']:
-    try:
-        with open(gpx.name) as f:
-            gpx_parsed = gpxpy.parse(f)
-        # Convert to a dataframe one point at a time.
-        points = []
-        for track in gpx_parsed.tracks:
-            for segment in track.segments:
-                for p in segment.points:
-                    points.append({
-                        'lat': p.latitude,
-                        'lon': p.longitude,
-                        'altitude': p.elevation,
-                })
-        df_gpx = pd.DataFrame.from_records(points)
-        #df_gpx = pd.read_xml(gpx.name, xpath=".//doc:trkseg/doc:trkpt", namespaces={"doc": "http://www.topografix.com/GPX/1/1"})
-        params = df_gpx.iloc[-1].to_dict()
-        lat = params['lat']
-        lon = params['lon']
-
-        if params['altitude'] == None:
-            params['altitude'] = int(round(elevation_data.get_elevation(lat, lon), 0))
-        else:
-            params['altitude'] = int(round(params['altitude'], 0))
-
-        #params['altitude'] = int(round(params['altitude'], 0))
-        altitude = params['altitude']
-
-        location = geolocator.reverse('{}, {}'.format(lat, lon), zoom=14)
-
-        gpx_name = 'You have uploaded <b style="color: #004170;">' + os.path.basename(gpx.name) + '</b>'
-        location = '<p style="color: #004170">' + str(location) + '</p>'
-
-        sunrise, sunset = sunrise_sunset(lat, lon, datetime.strptime(day_read, '%A %d %B %Y'))
-
-        dates = gr.Dropdown(choices=dates_list, label='2. Next, pick up the date of your hike', value=dates_list[0], interactive=True, elem_classes='required-dropdown')
-
-        dfs = json_parser(date_filt)
-
-        return gpx_name, location, dates, day_print, sunrise, sunset, dfs
-
-    except:
-        sunrise, sunset = sunrise_sunset(lat, lon, today)
-        dfs = json_parser(dates_filt[0])
-        gpx_name = '<b style="color: firebrick;">ERROR: Not a valid GPX file. Upload another file.</b>'
-        return gpx_name, location, dates_list, day_print, sunrise, sunset, dfs
-    #else:
-    #    sunrise, sunset = sunrise_sunset(lat, lon, today)
-    #    dfs = json_parser(dates_filt[0])
-    #    gpx_name = '<b style="color: firebrick;">ERROR: Not a valid GPX file. Upload another file.</b>'
-    #    return gpx_name, location, dates_list, day_print, sunrise, sunset, dfs
-
-coor_gpx(gpx_path)
-
-# Choose a date from the dropdown menu
-def date_chooser(day):
-    global day_read
-    global sunrise
-    global sunset
-    global sunrise_icon
-    global sunset_icon
-    global dates_dict
-    global dates_list
-
-    dates_dict = gen_dates()
-    dates_list = list(dates_dict.keys())
-
-    day_read = day
-    day_print = '<h2>' + day_read + '</h2>'
-
-    date = datetime.strptime(day, '%A %d %B %Y')
-
-    index = dates_list.index(day)
-
-    sunrise, sunset = sunrise_sunset(lat, lon, date)
-
-    date_filt = date.strftime('%Y-%m-%d')
-    dfs = json_parser(date_filt)
-
-    dates = gr.Dropdown(choices=dates_list, label='2. Next, pick up the date of your hike', value=dates_list[index], interactive=True, elem_classes='required-dropdown')
-
-    return day_print, sunrise, sunset, dfs, dates
-
-### Gradio app ###
-with gr.Blocks(theme='ParityError/Interstellar', css=css, fill_height=True) as demo:
-    with gr.Column():
-        with gr.Row():
-            gr.HTML('<h1 style="color: DarkGoldenrod">Freedom Luxembourg<br><h3 style="color: #004170">The Weather for Hikers</h3></h1>')
-            with gr.Column():
-                upload_gpx = gr.UploadButton(label='1. Upload your GPX track', file_count='single', size='lg', file_types=['.gpx', '.GPX'], elem_id='button', elem_classes='buttons', interactive=True)
-                file_name = gr.HTML('<h6>' + gpx_name + '</h6>')
-            dates = gr.Dropdown(choices=gen_dates_list(), label='2. Pick up the date of your hike', value=dates_list[0], interactive=True, elem_classes='required-dropdown')
-        gr.HTML('<h1><br></h1>')
-        with gr.Row():
-            choosen_date = gr.HTML(day_print)
-            loc = gr.HTML('<p style="color: #004170">' + str(location) + '</p>')
-            sunrise = gr.HTML(sunrise)
-            sunset = gr.HTML(sunset)
-    table = gr.DataFrame(dfs, max_height=1000, type='pandas', headers=None, line_breaks=False, interactive=False, wrap=True, visible=True, render=True,
-            elem_id='table', elem_classes='tables',
-            datatype=['str', 'html', 'str', 'str', 'str', 'str', 'str', 'str'],
-            )
-    gr.HTML('<center>Freedom Luxembourg<br><a style="color: DarkGoldenrod; font-style: italic; text-decoration: none" href="https://www.freeletz.lu/freeletz/" target="_blank">freeletz.lu</a></center>')
-    gr.HTML('<center>Powered by the <a style="color: #004170; text-decoration: none" href="https://api.met.no/weatherapi/locationforecast/2.0/documentation" target="_blank">Norwegian Meteorological Institute</a> API</center>')
-    #demo.load(fn=date_chooser, inputs=dates, outputs=[choosen_date, sunrise, sunset, table, dates])
-    upload_gpx.upload(fn=coor_gpx, inputs=upload_gpx, outputs=[file_name, loc, dates, choosen_date, sunrise, sunset, table])
-    demo.load(gen_dropdown, None, dates)
-    dates.input(fn=date_chooser, inputs=dates, outputs=[choosen_date, sunrise, sunset, table, dates])
-
-
-def restart_app():
-    demo.close()
-    port = int(os.environ.get('PORT', 7860))
-    demo.launch(server_name="0.0.0.0", server_port=port)
-
-scheduler = BackgroundScheduler({'apscheduler.timezone': 'Europe/Luxembourg'})
-scheduler.add_job(func=restart_app, trigger='cron', hour='00', minute='01')
-scheduler.start()
-
-port = int(os.environ.get('PORT', 7860))
-demo.launch(server_name="0.0.0.0", server_port=port)