Create app.py

app.py

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+def simulate_data(n=10, faults=True):
+    today = datetime.date.today()
+    poles = [f"Pole_{i+1:03}" for i in range(n)]
+    data = []
+    for pole in poles:
+        solar = round(np.random.uniform(3.0, 7.5), 2)
+        wind = round(np.random.uniform(0.5, 2.0), 2)
+        required = round(np.random.uniform(1.0, 1.5), 2)
+        total = solar + wind
+        cam = np.random.choice(['Online', 'Offline'], p=[0.85, 0.15]) if faults else "Online"
+        tilt = round(np.random.uniform(0, 12), 1)
+        vib = round(np.random.uniform(0.1, 2.5), 2)
+        sufficient = "Yes" if total >= required else "No"
+        anomaly = []
+        if faults:
+            if solar < 4.0:
+                anomaly.append("Low Solar Output")
+            if wind < 0.7:
+                anomaly.append("Low Wind Output")
+            if tilt > 10:
+                anomaly.append("Pole Tilt Risk")
+            if vib > 2.0:
+                anomaly.append("Vibration Alert")
+            if cam == "Offline":
+                anomaly.append("Camera Offline")
+            if sufficient == "No":
+                anomaly.append("Power Insufficient")
+        alert = "Green"
+        if len(anomaly) == 1:
+            alert = "Yellow"
+        elif len(anomaly) > 1:
+            alert = "Red"
+        data.append({
+            "Pole ID": pole,
+            "Date": today,
+            "Solar Gen (kWh)": solar,
+            "Wind Gen (kWh)": wind,
+            "Power Required (kWh)": required,
+            "Power Sufficient": sufficient,
+            "Camera Status": cam,
+            "Tilt (°)": tilt,
+            "Vibration (g)": vib,
+            "Anomalies": "; ".join(anomaly) if anomaly else "None",
+            "Alert Level": alert
+        })
+    return pd.DataFrame(data)