Flake8 checks and hashlib is a standard lib, remove from reqs.

streamlit_src/app.py

@@ -1,4 +1,4 @@
 from controllers.home_controller import HomeController
-    
+
 if __name__ == "__main__":
     HomeController()

streamlit_src/controllers/admin_controller.py

@@ -1,13 +1,14 @@
 from models.air_quality_model import AirQualityModel
 from views.admin_view import AdminView
 
+
 class AdminController:
     def __init__(self):
         self.model = AirQualityModel()
         self.view = AdminView()
 
     def show_dashboard(self):
-        return 
+        return
         # Get today's data and predictions
         today_data = self.model.get_today_data()
         next_three_days = self.model.next_three_day_predictions()
@@ -15,7 +16,7 @@ class AdminController:
         # WHO Guidelines
         who_guidelines = {
             "Pollutant": ["NO2 (µg/m³)", "O3 (µg/m³)"],
-            "WHO Guideline": [self.model.WHO_NO2_LEVEL, self.model.WHO_O3_LEVEL]
+            "WHO Guideline": [self.model.WHO_NO2_LEVEL, self.model.WHO_O3_LEVEL],
         }
 
         # Display current data and predictions
@@ -23,7 +24,9 @@ class AdminController:
         self.view.display_predictions(next_three_days)
 
         # Compare to WHO guidelines
-        self.view.compare_to_who(today_data, self.model.WHO_NO2_LEVEL, self.model.WHO_O3_LEVEL)
-        
+        self.view.compare_to_who(
+            today_data, self.model.WHO_NO2_LEVEL, self.model.WHO_O3_LEVEL
+        )
+
     def welcome_back(self):
-        self.view.welcome_back()
+        self.view.welcome_back()

streamlit_src/controllers/home_controller.py

@@ -5,15 +5,18 @@ from controllers.admin_controller import AdminController
 from views.home_view import HomeView
 import hashlib
 
+
 class HomeController:
-    __ADMIN_PASSWORD_HASH = '240be518fabd2724ddb6f04eeb1da5967448d7e831c08c8fa822809f74c720a9'
+    __ADMIN_PASSWORD_HASH = (
+        "240be518fabd2724ddb6f04eeb1da5967448d7e831c08c8fa822809f74c720a9"
+    )
 
     def __init__(self):
         self.home_view = HomeView()
         self.user_controller = UserController()
         self.admin_controller = AdminController()
         self._run()
-        
+
     def _hash_password(self, password):
         """Hash the input password using SHA-256."""
         return hashlib.sha256(password.encode()).hexdigest()

streamlit_src/models/air_quality_model.py

@@ -1,25 +1,28 @@
 import pandas as pd
 import numpy as np
 
-class AirQualityModel():
+
+class AirQualityModel:
     def __init__(self) -> None:
-        
         self.WHO_NO2_LEVEL = 25
         self.WHO_O3_LEVEL = 100
         pass
-    
+
     def get_today_data(self):
         today_data = {
             "NO2 (µg/m³)": np.random.uniform(20, 60),  # Simulated data
-            "O3 (µg/m³)": np.random.uniform(50, 120)   # Simulated data
+            "O3 (µg/m³)": np.random.uniform(50, 120),  # Simulated data
         }
         return today_data
 
         # Function to retrieve predictions for the next three days (replace with actual model predictions)
+
     def next_three_day_predictions(self):
-        next_three_days = pd.DataFrame({
-            "Day": ["Day 1", "Day 2", "Day 3"],
-            "NO2 (µg/m³)": np.random.uniform(20, 60, 3),
-            "O3 (µg/m³)": np.random.uniform(50, 120, 3)
-        })
-        return next_three_days
+        next_three_days = pd.DataFrame(
+            {
+                "Day": ["Day 1", "Day 2", "Day 3"],
+                "NO2 (µg/m³)": np.random.uniform(20, 60, 3),
+                "O3 (µg/m³)": np.random.uniform(50, 120, 3),
+            }
+        )
+        return next_three_days

streamlit_src/views/admin_view.py

@@ -4,25 +4,28 @@ import pandas as pd
 from datetime import date
 import time
 
+
 class AdminView:
     def show_current_data(self, today_data, who_guidelines):
-        return 
-        st.sidebar.markdown(f"ADMIN Today's Date: **{date.today().strftime('%B %d, %Y')}**")
+        return
+        st.sidebar.markdown(
+            f"ADMIN Today's Date: **{date.today().strftime('%B %d, %Y')}**"
+        )
         st.sidebar.markdown("### Current Pollutant Concentrations")
         today_data_df = pd.DataFrame([today_data])
         st.sidebar.dataframe(today_data_df.style.hide(axis="index"))
-        
+
         st.sidebar.markdown("### WHO Guidelines")
         who_guidelines_df = pd.DataFrame(who_guidelines)
         st.sidebar.dataframe(who_guidelines_df.style.hide(axis="index"))
 
     def display_predictions(self, next_three_days):
-        return  
+        return
         st.markdown("### Predictions for the Next 3 Days")
         st.line_chart(next_three_days.set_index("Day"))
 
     def compare_to_who(self, today_data, no2_level, o3_level):
-        return  
+        return
         if today_data["NO2 (µg/m³)"] > no2_level:
             st.sidebar.error("⚠️ NO2 levels are above WHO guidelines!")
         else:
@@ -32,10 +35,10 @@ class AdminView:
             st.sidebar.error("⚠️ O3 levels are above WHO guidelines!")
         else:
             st.sidebar.success("✅ O3 levels are within safe limits.")
-            
+
     def welcome_back(self):
         st.empty()
         placeholder = st.empty()
         placeholder.success("Welcome back!")
         time.sleep(2)
-        placeholder.empty()
+        placeholder.empty()

streamlit_src/views/home_view.py

@@ -1,18 +1,18 @@
 import streamlit as st
 
+
 class HomeView:
-    
     def __init__(self):
         self.set_layout()
-    
+
     def set_layout(self):
         st.set_page_config(page_title="Air Quality Monitoring Dashboard", layout="wide")
         st.sidebar.title("Air Quality Monitoring")
-        
+
     def show_dashboard_switch(self):
         page = st.sidebar.radio("Go to", ["User Dashboard", "Admin Dashboard"])
         return page
-    
+
     def prompt_admin_password(self):
         st.sidebar.markdown("### Admin Access Required")
-        return st.sidebar.text_input("Enter Admin Password:", type="password")
+        return st.sidebar.text_input("Enter Admin Password:", type="password")

streamlit_src/views/user_view.py

@@ -3,13 +3,14 @@ import streamlit as st
 import pandas as pd
 from datetime import date
 
+
 class UserView:
     def show_current_data(self, today_data, who_guidelines):
         st.sidebar.markdown(f"Today's Date: **{date.today().strftime('%B %d, %Y')}**")
         st.sidebar.markdown("### Current Pollutant Concentrations")
         today_data_df = pd.DataFrame([today_data])
         st.sidebar.dataframe(today_data_df.style.hide(axis="index"))
-        
+
         st.sidebar.markdown("### WHO Guidelines")
         who_guidelines_df = pd.DataFrame(who_guidelines)
         st.sidebar.dataframe(who_guidelines_df.style.hide(axis="index"))