data_builders/mock_sensor_data_generator.py

import json
import random
from datetime import datetime, timedelta

# Initialize starting values
sensor_id = "TS110-112"
location = "server room"
start_time = datetime.strptime("2023-07-18T10:15:30Z", "%Y-%m-%dT%H:%M:%SZ")
temp = 75.2
humidity = 40.0
pressure = 1013
battery_life = 85
state = "normal"

# Initialize data list
data = []
    
halt=False
for i in range(120):
    # Create data point
    data_point = {
        "sensorId": sensor_id,
        "location": {"description": location},
        "timeStamp": (start_time + timedelta(minutes=i)).strftime("%Y-%m-%dT%H:%M:%SZ"),
        "readings": {
            "temperature": round(temp, 1),
            "humidity": round(humidity, 1),
            "pressure": pressure,
            "units": {"temperature": "Celsius", "humidity": "Percent", "pressure": "hPa"}
        },
        "state": {"device": state, "batteryLife": round(battery_life, 1)}
    }
    # Append to data list
    data.append(data_point)

    # Update temperature, humidity and battery life
    if halt==False:
        temp += 1.5 if i < 60 else 2.9  # increase temperature faster after 60 minutes
        humidity += random.uniform(-0.2, 0.2)  # fluctuate humidity
        battery_life -= 0.235  # decrease battery life
        # Update status
        if temp < 140:
            state = "normal"
        elif temp >= 140 and temp < 240:
            state = "warning"
        elif temp >= 240 and temp < 300:
            state = "failure"
        elif temp >= 300:
            state = "shutdown"
            halt=True

    elif halt==True:
        battery_life = 0
        pressure = 0
        humidity = 0
        temp -= 4.5

# Write data to json file
with open("ml_to_nl_translation/data/temperature_sensor_data.json", 'w') as f:
    json.dump(data, f, indent=4)