Overview

type WindTurbine mixes Asset {
  manufacturer: String;
  model: String;
  installedCapacity: Measure<Power>;
  commissionDate: Date;
  
  sensors: -> [Sensor];
  maintenanceRecords: -> [MaintenanceRecord];
  
  calculateEfficiency(): Double ~ js-server;
}

// Find all turbines manufactured by Vestas
const vestasTurbines = WindTurbine.filter({
  manufacturer: "Vestas"
}).fetch();

// Calculate average efficiency
const avgEfficiency = vestasTurbines.reduce((sum, turbine) => {
  return sum + turbine.calculateEfficiency();
}, 0) / vestasTurbines.length;

type Sensor mixes Asset {
  sensorType: String;
  location: String;
  installDate: Date;
  
  turbine: -> WindTurbine;
  readings: -> [SensorReading];
}

// Find all sensors for a turbine
const turbine = WindTurbine.fetch("turbine-123");
const sensors = turbine.sensors.fetch();

// Find the turbine for a sensor
const sensor = Sensor.fetch("sensor-456");
const turbine = sensor.turbine.fetch();

type MaintenanceRecord mixes Entity {
  turbine: -> WindTurbine;
  date: Date;
  technician: String;
  description: String;
  cost: Measure<Currency>;
  
  validate() ~ js-server {
    if (!this.description) {
      throw new Error("Description is required");
    }
    if (this.date > new Date()) {
      throw new Error("Maintenance date cannot be in the future");
    }
  }
}

abstract type Asset mixes Entity {
  assetId: String;
  name: String;
  description: String;
  location: GeoLocation;
}

type WindTurbine mixes Asset {
  // Additional fields and methods specific to wind turbines
}

type WindFarm mixes Entity {
  name: String;
  location: GeoLocation;
  capacity: Measure<Power>;
  commissionDate: Date;
  
  turbines: -> [WindTurbine];
  weatherData: -> [WeatherRecord];
}

type WindTurbine mixes Asset {
  // Fields...
  
  calculateEfficiency(): Double ~ js-server {
    // Implementation in JavaScript
    const readings = this.powerReadings.fetch();
    // Calculate efficiency based on readings
    return efficiency;
  }
  
  predictMaintenance(): MaintenancePrediction ~ python {
    # Implementation in Python
    import numpy as np
    from sklearn.ensemble import RandomForestClassifier
    # Predict maintenance needs
    return prediction
  }
}

type WindTurbine mixes Asset {
  // Version 1 fields
  manufacturer: String;
  model: String;
  installedCapacity: Measure<Power>;
  
  // Version 2 fields
  @since(2.0)
  commissionDate: Date;
  @since(2.0)
  decommissionDate: Date;
  
  // Version 3 fields
  @since(3.0)
  firmware: String;
  @since(3.0)
  lastFirmwareUpdate: Date;
}