Update app_backend.py

app_backend.py

@@ -40,42 +40,104 @@
 # if __name__ == "__main__":
 #     print("Backend ready!")
 
+
+
+# code2
+
+
+# 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
+
+# # 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
+#     }
+
+# # Export functions for use in Streamlit
+# if __name__ == "__main__":
+#     print("Backend ready!")
+
+
+# code 3
 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
-
-# Generate synthetic data
+
+# Function to fetch weather data remains unchanged
+
+# 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,
-        "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)),
+        "power_consumption_mw": np.random.randint(50, 200, len(time_index)),
+        "grid_generation_mw": np.random.randint(30, 150, len(time_index)),
+        "storage_utilization_mw": np.random.randint(10, 50, len(time_index)),
+        "grid_health": np.random.choice(["Good", "Moderate", "Critical"], len(time_index))
     })
 
-# Generate storage data
+# Generate synthetic storage data
 def generate_storage_data():
+    wind_storage = np.random.randint(5, 15)
+    solar_storage = np.random.randint(7, 20)
+    turbine_storage = np.random.randint(10, 25)
+    total_storage = wind_storage + solar_storage + turbine_storage
     return {
-        "wind": 5,
-        "solar": 7,
-        "turbine": 10,
-        "total_stored_kwh": 2000
+        "wind_storage_mw": wind_storage,
+        "solar_storage_mw": solar_storage,
+        "turbine_storage_mw": turbine_storage,
+        "total_storage_mw": total_storage
     }
 
-# Export functions for use in Streamlit
+# Generate synthetic trade data
+def generate_trade_data():
+    countries = ["Country A", "Country B", "Country C"]
+    exports = np.random.randint(10, 50, len(countries))
+    imports = np.random.randint(5, 30, len(countries))
+    return pd.DataFrame({
+        "country": countries,
+        "exports_mw": exports,
+        "imports_mw": imports
+    })
+
+# Updated optimization recommendation
+def optimize_load(demand, generation, storage):
+    if generation + storage >= demand:
+        return "Grid is Stable with Current Supply"
+    elif demand - (generation + storage) < 20:
+        return "Activate Backup or Optimize Load"
+    else:
+        return "Immediate Action Required: Adjust Load or Increase Generation"
+
+# Export functions
 if __name__ == "__main__":
-    print("Backend ready!")
+    print("Backend ready for enhanced dashboard!")
+