Create modules/simulator.py

modules/simulator.py

@@ -0,0 +1,65 @@
+import pandas as pd
+import numpy as np
+import datetime
+
+def simulate_data(n=10, faults=True):
+    today = datetime.date.today()
+    poles = [f"Pole_{i+1:03}" for i in range(n)]
+
+    # Define site coordinates
+    sites = {
+        "Hyderabad": (17.3850, 78.4867),
+        "Gadwal": (16.2356, 77.7956),
+        "Kurnool": (15.8281, 78.0373),
+        "Ballari": (15.1394, 76.9214)
+    }
+
+    site_names = list(sites.keys())
+    data = []
+
+    for pole in poles:
+        site = np.random.choice(site_names)
+        lat, lon = sites[site]
+
+        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,
+            "Site": site,
+            "Latitude": lat,
+            "Longitude": lon,
+            "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)