Update app_backend.py

app_backend.py

@@ -45,45 +45,45 @@
 # code2
 
 
-import pandas as pd
-import numpy as np
-from datetime import datetime, timedelta
-import requests
+# import pandas as pd
+# import numpy as np
+# from datetime import datetime, timedelta
+# import requests
 
-# Function to fetch real-time weather data
-def fetch_weather(api_key, location):
-    url = f"http://api.openweathermap.org/data/2.5/weather?q={location}&appid={api_key}&units=metric"
-    response = requests.get(url).json()
-    if response["cod"] == 200:
-        return {
-            "temperature": response["main"]["temp"],
-            "wind_speed": response["wind"]["speed"],
-            "weather": response["weather"][0]["description"]
-        }
-    return None
+# # Function to fetch real-time weather data
+# def fetch_weather(api_key, location):
+#     url = f"http://api.openweathermap.org/data/2.5/weather?q={location}&appid={api_key}&units=metric"
+#     response = requests.get(url).json()
+#     if response["cod"] == 200:
+#         return {
+#             "temperature": response["main"]["temp"],
+#             "wind_speed": response["wind"]["speed"],
+#             "weather": response["weather"][0]["description"]
+#         }
+#     return None
 
-# Generate synthetic data
-def generate_synthetic_data():
-    time_index = pd.date_range(start=datetime.now(), periods=24, freq="H")
-    return pd.DataFrame({
-        "timestamp": time_index,
-        "total_power_consumption_mw": np.random.randint(200, 500, len(time_index)),
-        "grid_generation_mw": np.random.randint(100, 300, len(time_index)),
-        "storage_utilization_mw": np.random.randint(50, 150, len(time_index)),
-    })
+# # Generate synthetic data
+# def generate_synthetic_data():
+#     time_index = pd.date_range(start=datetime.now(), periods=24, freq="H")
+#     return pd.DataFrame({
+#         "timestamp": time_index,
+#         "total_power_consumption_mw": np.random.randint(200, 500, len(time_index)),
+#         "grid_generation_mw": np.random.randint(100, 300, len(time_index)),
+#         "storage_utilization_mw": np.random.randint(50, 150, len(time_index)),
+#     })
 
-# Generate storage data
-def generate_storage_data():
-    return {
-        "wind": 5,
-        "solar": 7,
-        "turbine": 10,
-        "total_stored_kwh": 2000
-    }
+# # Generate storage data
+# def generate_storage_data():
+#     return {
+#         "wind": 5,
+#         "solar": 7,
+#         "turbine": 10,
+#         "total_stored_kwh": 2000
+#     }
 
-# Export functions for use in Streamlit
-if __name__ == "__main__":
-    print("Backend ready!")
+# # Export functions for use in Streamlit
+# if __name__ == "__main__":
+#     print("Backend ready!")
 
 
 # code 3
@@ -141,3 +141,48 @@ if __name__ == "__main__":
 # if __name__ == "__main__":
 #     print("Backend ready for enhanced dashboard!")
 
+
+
+
+
+# code 4
+
+
+import pandas as pd
+import numpy as np
+import requests
+from datetime import datetime
+
+# Function to fetch real-time weather data
+def fetch_weather(api_key, location):
+    url = f"http://api.openweathermap.org/data/2.5/weather?q={location}&appid={api_key}&units=metric"
+    response = requests.get(url).json()
+    if response["cod"] == 200:
+        return {
+            "temperature": response["main"]["temp"],
+            "wind_speed": response["wind"]["speed"],
+            "weather": response["weather"][0]["description"]
+        }
+    return None
+
+# Generate synthetic grid data
+def generate_synthetic_data():
+    time_index = pd.date_range(start=datetime.now(), periods=24, freq="H")
+    return pd.DataFrame({
+        "timestamp": time_index,
+        "load_demand_kwh": np.random.randint(200, 500, len(time_index)),
+        "solar_output_kw": np.random.randint(50, 150, len(time_index)),
+        "wind_output_kw": np.random.randint(30, 120, len(time_index)),
+        "grid_health": np.random.choice(["Good", "Moderate", "Critical"], len(time_index))
+    })
+
+# Load optimization recommendation
+def optimize_load(demand, solar, wind):
+    renewable_supply = solar + wind
+    if renewable_supply >= demand:
+        return "Grid Stable"
+    return "Use Backup or Adjust Load"
+
+if __name__ == "__main__":
+    print("Backend ready!")
+