Create modules/simulator.py
Browse files- modules/simulator.py +55 -0
modules/simulator.py
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import pandas as pd
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import numpy as np
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import datetime
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def simulate_data(n=10, faults=True):
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today = datetime.date.today()
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poles = [f"Pole_{i+1:03}" for i in range(n)]
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data = []
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for pole in poles:
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solar = round(np.random.uniform(3.0, 7.5), 2)
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wind = round(np.random.uniform(0.5, 2.0), 2)
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required = round(np.random.uniform(1.0, 1.5), 2)
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total = solar + wind
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cam = np.random.choice(['Online', 'Offline'], p=[0.85, 0.15]) if faults else "Online"
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tilt = round(np.random.uniform(0, 12), 1)
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vib = round(np.random.uniform(0.1, 2.5), 2)
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sufficient = "Yes" if total >= required else "No"
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anomaly = []
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if faults:
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if solar < 4.0:
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anomaly.append("Low Solar Output")
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if wind < 0.7:
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anomaly.append("Low Wind Output")
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if tilt > 10:
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anomaly.append("Pole Tilt Risk")
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if vib > 2.0:
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anomaly.append("Vibration Alert")
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if cam == "Offline":
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anomaly.append("Camera Offline")
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if sufficient == "No":
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anomaly.append("Power Insufficient")
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alert = "Green"
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if len(anomaly) == 1:
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alert = "Yellow"
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elif len(anomaly) > 1:
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alert = "Red"
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data.append({
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"Pole ID": pole,
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"Date": today,
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"Solar Gen (kWh)": solar,
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"Wind Gen (kWh)": wind,
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"Power Required (kWh)": required,
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"Power Sufficient": sufficient,
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"Camera Status": cam,
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"Tilt (°)": tilt,
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"Vibration (g)": vib,
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"Anomalies": "; ".join(anomaly) if anomaly else "None",
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"Alert Level": alert
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})
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return pd.DataFrame(data)
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