sss

app/main.py

@@ -35,13 +35,15 @@ async def predict(request: Request):
         # soil_raw, air_temp, soil_temp, humidity = data["data"]
         # soil_pct = round(((1023 - soil_raw) / 1023) * 100 ,2)
         # features = np.array([[soil_pct, air_temp, soil_temp, humidity]])
-        features = np.array([[soil_pct, soil_temp, air_temp, humidity]])
+        # features = np.array([[soil_pct, soil_temp, air_temp, humidity]])
+        features = np.array([[soil_pct, air_temp, soil_temp, humidity]])
         scaled = scaler.transform(features)
         prediction = (model.predict(scaled) > 0.5).astype(int)
         result = "Needs Watering 💧" if prediction[0] == 1 else "No Water Needed 🌿"
 
         print("🔍 Prediction:", prediction[0], "-", result)
-
+        prediction_value = int(prediction[0])
+        
         # Log to prediction_logs/{timestamp}
         timestamp = str(int(time.time()))
         try:
@@ -50,7 +52,7 @@ async def predict(request: Request):
                 "airTemperature": air_temp,
                 "soilTemperature": soil_temp,
                 "airHumidity": humidity,
-                "prediction": prediction[0]
+                "prediction": prediction_value
             })
             print("📤 Logged to prediction_logs.")
         except Exception as log_error:
@@ -58,7 +60,7 @@ async def predict(request: Request):
 
         # Update last_prediction
         try:
-            db.reference("last_prediction").set(prediction[0])
+            db.reference("last_prediction").set(prediction_value)
             print("📤 last_prediction updated.")
         except Exception as lp_error:
             print("❌ Error writing last_prediction:", lp_error)