format code

src/frontendCardAirPollution.py

@@ -10,17 +10,18 @@
 
 class CardAirPollution:
     def __init__(self):
-        from .weatherData import air_apllution_data,classify_aqi
+        from .weatherData import air_apllution_data, classify_aqi
 
         self.air_apllution_data = air_apllution_data
         self.classify_aqi = classify_aqi
         self.card = None
         self.create_card()
 
     def _get_nearest_time_index(self):
-        for i in range(len(self.air_apllution_data['hourly']['time'])):
+
+        for i in range(len(self.air_apllution_data["hourly"]["time"])):
             if (
-                abs(time.time() - self.air_apllution_data['hourly']['time'][i]) // 60
+                abs(time.time() - self.air_apllution_data["hourly"]["time"][i]) // 60
             ) < 30:
                 nearest_current_time_idx = i
                 break
@@ -51,23 +52,25 @@ def create_card(self):
         info_box.set_margin_start(10)
         info_box.set_margin_top(30)
 
-        main_val = Gtk.Label(label=self.air_apllution_data['hourly']['us_aqi'][idx])
+        main_val = Gtk.Label(label=self.air_apllution_data["hourly"]["us_aqi"][idx])
         main_val.set_css_classes(["text-l3", "bold"])
         main_val.set_halign(Gtk.Align.START)
         main_val.set_margin_end(10)
         info_box.append(main_val)
 
-        desc = Gtk.Label(label=self.classify_aqi(self.air_apllution_data['hourly']['us_aqi'][idx]))
+        desc = Gtk.Label(
+            label=self.classify_aqi(self.air_apllution_data["hourly"]["us_aqi"][idx])
+        )
         desc.set_css_classes(["text-3", "light-2", "bold-2"])
         desc.set_margin_bottom(10)
         desc.set_valign(Gtk.Align.END)
         desc.set_halign(Gtk.Align.START)
         info_box.append(desc)
 
         # Pollution bar
-        aqi = self.air_apllution_data['hourly']['us_aqi'][idx]
-        bar_level = aqi/600
-        
+        aqi = self.air_apllution_data["hourly"]["us_aqi"][idx]
+        bar_level = aqi / 600
+
         pollution_bar = PollutionBar(bar_level)
         # pollution_bar.set_margin_top()
         card.attach(pollution_bar, 0, 4, 4, 1)

src/utils.py

@@ -7,6 +7,7 @@
 current_weather_data = None
 air_pollution_data = None
 forecast_weather_data = None
+epoch_offset = None
 
 
 def check_internet_connection():
@@ -58,27 +59,29 @@ def get_my_tz_offset_from_utc():
 
 
 def get_tz_offset_by_cord(lat, lon):
-    url = f"https://api.geotimezone.com/public/timezone?latitude={lat}&longitude={lon}"
+    global epoch_offset
 
-    res = requests.get(url)
-    if res.status_code != 200:
-        return 0
+    if epoch_offset is None:
+        url = f"https://api.geotimezone.com/public/timezone?latitude={lat}&longitude={lon}"
 
-    res = json.loads(res.text)
-    if res.get("offset") is None:
-        return 0
+        res = requests.get(url)
+        if res.status_code != 200:
+            return 0
 
-    offset_arr = res.get("offset")[3:].split(":")
-    offset_arr = [int(x) for x in offset_arr]
-    epoch_hr = abs(offset_arr[0]) * 3600
-    epoch_s = 0
+        res = json.loads(res.text)
+        if res.get("offset") is None:
+            return 0
 
-    if len(offset_arr) > 1:
-        epoch_s = offset_arr[1] * 60
+        offset_arr = res.get("offset")[3:].split(":")
+        offset_arr = [int(x) for x in offset_arr]
+        epoch_hr = abs(offset_arr[0]) * 3600
+        epoch_s = 0
 
-    epoch_offset = epoch_hr + epoch_s
+        if len(offset_arr) > 1:
+            epoch_s = offset_arr[1] * 60
 
-    if offset_arr[0] < 0:
-        epoch_offset *= -1
+        epoch_offset = epoch_hr + epoch_s
+        if offset_arr[0] < 0:
+            epoch_offset *= -1
 
     return epoch_offset

src/weatherData.py

@@ -15,7 +15,6 @@
 air_apllution_data = None
 
 
-
 def fetch_current_weather():
     global current_weather_data
     # Get current weather data from api
@@ -48,7 +47,9 @@ def fetch_hourly_forecast():
     # print(hourly_forecast_data.get("hourly").items())
     nearest_current_time_idx = 0
     for i in range(len(hourly_forecast_data.get("hourly").get("time"))):
-        if (abs(time.time() - hourly_forecast_data.get("hourly").get("time")[i]) // 60) < 30:
+        if (
+            abs(time.time() - hourly_forecast_data.get("hourly").get("time")[i]) // 60
+        ) < 30:
             nearest_current_time_idx = i
             break
 
@@ -66,7 +67,7 @@ def fetch_hourly_forecast():
     }
     current_weather_data.visibility = transform_visibility_data(
         hourly_forecast_data.visibility["unit"],
-        hourly_forecast_data.visibility["data"][0],
+        hourly_forecast_data.visibility["data"][nearest_current_time_idx],
     )
 
     return hourly_forecast_data
@@ -158,15 +159,15 @@ def classify_wind_speed_level(wind_speed):
 
 def transform_visibility_data(unit, data):
     settings = Gio.Settings(schema_id="io.github.amit9838.mousam")
-    measurement_type = settings.get_string('measure-type')
+    measurement_type = settings.get_string("measure-type")
     dist_unit = "km"
-    dist = data/1000
+    dist = data / 1000
     if measurement_type == "imperial":
         dist_unit = "miles"
-        dist = data/1609.34
+        dist = data / 1609.34
 
     if unit.lower() == "m":
-        data=dist
+        data = dist
         unit = dist_unit
 
     return {"unit": unit, "data": data}