in sample_app/cerebral_genai/code/rag-on-edge-simulator/app.py [0:0]
def generate_data():
models = ["SUV", "Sedan", "Coupe"]
colors = ["red", "blue", "black"]
engine_types = ["electric", "hybrid", "gasoline"]
assembly_statuses = ["InProgress", "Downtime"]
shifts = ["morning", "afternoon", "night"]
waste_reasons = ["defect", "rework", "spoilage"]
lost_time_reasons = ["maintenance", "operator", "material"]
data = {
"plant": "Monterrey",
"country": "Mexico",
"assembly_line": "E-001",
"car_id": "E-001",
"model": random.choice(models),
"color": random.choice(colors),
"engine_type": random.choice(engine_types),
"assembly_status": random.choice(assembly_statuses),
"shift": random.choice(shifts),
"Drive1_Voltage": random.uniform(190, 200),
"Cooler_ON": random.choice([True, False]),
"Fan001_On": random.choice([True, False]),
"Heater_ON": random.choice([True, False]),
"Pump1_Temperature_Flow": random.uniform(20, 30),
"Pump2_Temperature_Flow": random.uniform(20, 30),
"Pump3_Temperature_Flow": random.uniform(20, 30),
"Pumps_Total_Flow": random.uniform(30, 35),
"Pressure_Filter_Inlet": random.uniform(1, 2),
"Pressure_Filter_Outlet": random.uniform(0.5, 1.5),
"RobotPosition_J0": random.uniform(0, 5),
"RobotPosition_J1": random.uniform(0, 5),
"RobotPosition_J2": random.uniform(0, 5),
"RobotPosition_J3": random.uniform(0, 5),
"RobotPosition_J4": random.uniform(0, 5),
"RobotPosition_J5": random.uniform(0, 5),
"Tank_Level": random.uniform(60, 70),
"Drive1_Current": random.uniform(0.4, 0.6),
"Drive1_Frequency": 30,
"Drive1_Speed": 30,
"Drive1_Voltage": random.uniform(190, 200),
"Drive2_Current": random.uniform(0.4, 0.6),
"Drive2_Frequency": 30,
"Drive2_Speed": 30,
"Drive2_Voltage": random.uniform(190, 200),
"Current": random.uniform(0, 0.01),
"Voltage": random.uniform(100, 110),
"Temperature": random.uniform(70, 80),
"Humidity": random.uniform(40, 50),
"VacuumAlert": random.choice([True, False]),
"VacuumPressure": random.uniform(10, 20),
"Oiltemperature": random.uniform(350, 390),
"OiltemperatureTarget": 375,
"Waste": random.uniform(1, 2),
"WasteReason": random.choice(waste_reasons),
"LostTime": "SPT",
"LostTimeReason": random.choice(lost_time_reasons),
"LostTimeTimeCount": random.randint(90, 100),
"ScheduledBatteries": random.randint(8, 12),
"CompletedBatteries": random.randint(3, 7),
"ScheduledBatteriesPerHour": random.randint(280, 320),
"Temperature": random.uniform(230, 240),
"ImpactTest": random.uniform(780, 790),
"VibrationTest": random.uniform(6, 7),
"CellTest": random.uniform(400, 410),
"DownTime": random.randint(2, 6),
"Thruput": random.randint(28, 32),
"OverallEfficiency": random.randint(88, 92),
"Availability": random.randint(93, 97),
"Performance": random.randint(93, 97),
"Quality": random.randint(93, 97),
"PlannedProductionTime": random.randint(58, 62),
"ActualRuntime": random.randint(960, 965),
"UnplannedDowntime": random.randint(295, 300),
"PlannedDowntime": 0,
"PlannedQuantity": random.randint(290, 310),
"ActualQuantity": random.randint(280, 290),
"RejectedQuantity": random.randint(10, 20),
"OEE_GoalbyPlant": random.uniform(78, 82),
"OEE_Mexico": random.uniform(95, 96),
"OEE_BatteryA": random.uniform(96, 97),
"OEE_BatteryB": random.uniform(94, 95),
"OEE_BatteryC": random.uniform(95, 96)
}
return data