a little bit of refactoring

VIIRSdownloader.py

@@ -5,30 +5,31 @@ https://firms.modaps.eosdis.nasa.gov/data/active_fire/suomi-npp-viirs-c2/csv/SUO
 and displays it on a map.
 Description of data displayed:
 https://www.earthdata.nasa.gov/learn/find-data/near-real-time/firms/vnp14imgtdlnrt#ed-viirs-375m-attributes
-@author: Cybermancer
+@author: faraway
 """
 import sys
 import argparse
 import re
 import os.path
-import requests
+import pickle
 import datetime as dt
+import webbrowser
+import requests
 import pandas as pd
 import folium
-import webbrowser
+
 from geopy.geocoders import Nominatim
 from geopy.extra.rate_limiter import RateLimiter
-import pickle
 
 
-def fileFormat(args_inputfile):
+def check_file_format(args_inputfile):
     pattern = re.compile(r'local_VIIRS_data-\d\d\d\d-\d\d-\d\d.csv')
     if not re.match(pattern, args_inputfile):
         raise argparse.ArgumentTypeError
     return args_inputfile
 
 
-def getAdress(data_frame, date):
+def get_address(data_frame, date):
     address_file = 'adressdump-' + date
     if not os.path.exists(address_file):
         address_list = []
@@ -45,51 +46,12 @@ def getAdress(data_frame, date):
     return address_list
 
 
-def main(args):
+def render_map(in_ukraine, address_list, date):
-    date = str(dt.date.today())
-    bounding = [44.184598, 52.3797464, 22.137059, 40.2275801]
     src = ('https://gibs.earthdata.nasa.gov/wmts-webmerc/VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1/' +
            'default/{time}/GoogleMapsCompatible_Level9/{z}/{y}/{x}.jpg')
-    if args.inputfile:
-        local_file = args.inputfile
-        date = re.search(r'\d{4}-\d\d-\d\d', args.inputfile).group(0)
-    else:
-        local_file = 'local_VIIRS_data-' + date + '.csv'
-        if not os.path.exists(local_file):
-            try:
-                remote_url = r'https://firms.modaps.eosdis.nasa.gov/data/active_fire/suomi-npp-viirs-c2/csv/SUOMI_VIIRS_C2_Europe_24h.csv'
-                data = requests.get(remote_url, allow_redirects=True)
-                with open(local_file, 'wb') as file:
-                    file.write(data.content)
-            except:
-                SystemExit(2)
-
-    html_file = local_file.split('.')[0] + '.html'
-    data_frame = pd.read_csv(local_file)
-    data_frame = data_frame.astype({'confidence': 'string'})
-    in_ukraine = data_frame[data_frame['latitude'].between(bounding[0], bounding[1]) & data_frame['longitude'].between(
-        bounding[2], bounding[3]) & (data_frame['confidence'].str.contains('nominal') | data_frame['confidence'].str.contains('high'))]
-    
-    if not args.noreversegeolocation:
-        address_list = getAdress(in_ukraine, date)
-    else:
-        address_list = []
-
     if not in_ukraine.empty:
         fire_map = folium.Map(location=in_ukraine[['latitude', 'longitude']].mean(
         ).to_list(), zoom_start=4, max_bounds=True, crs='EPSG3857')
-        folium.raster_layers.TileLayer(
-            tiles=src,
-            subdomains='abc',
-            name='VIIRS CorrectedReflectance_BandsM11-I2-I1',
-            attr='NASA VIIRS',
-            overlay=True,
-            layer='VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1',
-            tileMatrixSet='GoogleMapsCompatible_Level9',
-            time=str(dt.date.fromisoformat(date) - dt.timedelta(days=1)),
-            tileSize=256,
-        ).add_to(fire_map)
-        folium.LayerControl().add_to(fire_map)
         for r in in_ukraine.iterrows():
             location = (r[1]['latitude'], r[1]['longitude'])
             folium.Marker(location=location, tooltip=(
@@ -97,19 +59,76 @@ def main(args):
         if address_list:
             for address in address_list:
                 if address is not None:
-                    location = (adress.raw['lat'], adress.raw['lon'])
+                    location = (address.raw['lat'], address.raw['lon'])
-                    folium.CircleMarker(location=location, tooltip=(str(adress.raw['display_name'])),
+                    folium.CircleMarker(location=location,
+                                        tooltip=(
+                                            str(address.raw['display_name'])),
                                         radius=10).add_to(fire_map)
-        if not os.path.exists(html_file):
+    else:
-            fire_map.save(html_file)
+
-        webbrowser.open_new(html_file)
+        fire_map = folium.Map(location=[(44.184598 + 52.3797464)/2, (22.137059 + 40.2275801)/2],
+                              zoom_start=4, max_bounds=True, crs='EPSG3857')
+
+    folium.raster_layers.TileLayer(
+        tiles=src,
+        subdomains='abc',
+        name='VIIRS CorrectedReflectance_BandsM11-I2-I1',
+        attr='NASA VIIRS',
+        overlay=True,
+        layer='VIIRS_SNPP_CorrectedReflectance_BandsM11-I2-I1',
+        tileMatrixSet='GoogleMapsCompatible_Level9',
+        time=str(dt.date.fromisoformat(date) - dt.timedelta(days=1)),
+        tileSize=256,
+    ).add_to(fire_map)
+    folium.LayerControl().add_to(fire_map)
+    return fire_map
+
+
+def main(args):
+    bounding = [44.184598, 52.3797464, 22.137059, 40.2275801]
+    if args.inputfile:
+        local_file = args.inputfile
+        date = re.search(r'\d{4}-\d{2}-\d{2}', args.inputfile).group(0)
+    else:
+        date = str(dt.date.today())
+        local_file = 'local_VIIRS_data-' + date + '.csv'
+    if not os.path.exists(local_file):
+        try:
+            remote_url = r'https://firms.modaps.eosdis.nasa.gov/data/active_fire/suomi-npp-viirs-c2/csv/SUOMI_VIIRS_C2_Europe_24h.csv'
+            data = requests.get(remote_url, allow_redirects=True)
+            try:
+                with open(local_file, 'wb') as file:
+                    file.write(data.content)
+            except OSError as e:
+                raise SystemExit(e)
+        except requests.exceptions.RequestException as e:
+            raise SystemExit(e)
+
+    html_file = local_file.split('.')[0] + '.html'
+    data_frame = pd.read_csv(local_file)
+    data_frame = data_frame.astype({'confidence': 'string'})
+    in_ukraine = data_frame[data_frame['latitude'].between(bounding[0], bounding[1])
+                            & data_frame['longitude'].between(bounding[2],
+                                                              bounding[3])
+                            & (data_frame['confidence'].str.contains('nominal')
+                               | data_frame['confidence'].str.contains('high'))]
+
+    if not args.noreversegeolocation:
+        address_list = get_address(in_ukraine, date)
+    else:
+        address_list = []
+
+    fire_map = render_map(in_ukraine, address_list, date)
+    fire_map.save(html_file)
+    webbrowser.open_new(html_file)
     sys.exit(0)
 
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
     parser.add_argument(
-        '-i', '--inputfile', type=fileFormat, help='Specify the cvs file containing the satellite data to be displayed. INPUTFILE must match local_VIIRS_data-YYYY-MM-DD.csv')
+        '-i', '--inputfile', type=check_file_format,
+        help='Specify the cvs file containing the satellite data to be displayed. INPUTFILE must match local_VIIRS_data-YYYY-MM-DD.csv')
     parser.add_argument('-nr', '--noreversegeolocation', action='store_true',
                         help='Disable reverse geolocation')
     args = parser.parse_args()