polaris-cli-tool/create_template.js

Polaris CLI - Modern Development Workspace Manager for Distributed Compute Resources

// create_template.js
import xlsx from 'xlsx';

const headers = [
  'id',
  'resource_type',
  'location',
  'internal_ip',
  'ssh',
  'open_ports',
  'hourly_price',
  'ram',
  'storage_type',
  'storage_capacity',
  'storage_read_speed',
  'storage_write_speed',
  // CPU Specs
  'cpu_op_modes',
  'cpu_address_sizes',
  'cpu_byte_order',
  'total_cpus',
  'online_cpus',
  'vendor_id',
  'cpu_name',
  'cpu_family',
  'model',
  'threads_per_core',
  'cores_per_socket',
  'sockets',
  'stepping',
  'cpu_max_mhz',
  'cpu_min_mhz',
  // GPU Specs
  'gpu_name',
  'memory_size',
  'cuda_cores',
  'clock_speed',
  'power_consumption'
];

const data = [
  {
    // High-end CPU compute resource
    id: 'compute1',
    resource_type: 'CPU',
    location: 'NYC-RACK-01',
    internal_ip: '192.168.1.10',
    ssh: 'ssh://user@192.168.1.10:22',
    open_ports: '22,80,443,3000',
    hourly_price: 2.0,
    ram: '128GB',
    storage_type: 'NVME',
    storage_capacity: '4TB',
    storage_read_speed: '7000MB/s',
    storage_write_speed: '5000MB/s',
    cpu_op_modes: '32-bit, 64-bit',
    cpu_address_sizes: '46 bits physical, 48 bits virtual',
    cpu_byte_order: 'Little Endian',
    total_cpus: 32,
    online_cpus: '0-31',
    vendor_id: 'GenuineIntel',
    cpu_name: 'Intel(R) Xeon(R) Platinum 8380 CPU @ 2.30GHz',
    cpu_family: 6,
    model: 85,
    threads_per_core: 2,
    cores_per_socket: 8,
    sockets: 2,
    stepping: 4,
    cpu_max_mhz: 3400.0,
    cpu_min_mhz: 1000.0
  },
  {
    // High-performance GPU compute resource
    id: 'compute2',
    resource_type: 'GPU',
    location: 'NYC-RACK-02',
    internal_ip: '192.168.1.11',
    ssh: 'ssh://user@192.168.1.11:22',
    open_ports: '22,80,443,8080',
    hourly_price: 3.5,
    ram: '256GB',
    storage_type: 'NVME',
    storage_capacity: '8TB',
    storage_read_speed: '7000MB/s',
    storage_write_speed: '5000MB/s',
    gpu_name: 'NVIDIA A100',
    memory_size: '80GB',
    cuda_cores: 6912,
    clock_speed: '1410MHz',
    power_consumption: '400W'
  },
  {
    // Mid-range CPU compute resource
    id: 'compute3',
    resource_type: 'CPU',
    location: 'NYC-RACK-03',
    internal_ip: '192.168.1.12',
    ssh: 'ssh://user@192.168.1.12:22',
    open_ports: '22,80,443',
    hourly_price: 1.5,
    ram: '64GB',
    storage_type: 'SSD',
    storage_capacity: '2TB',
    storage_read_speed: '3500MB/s',
    storage_write_speed: '3000MB/s',
    cpu_op_modes: '32-bit, 64-bit',
    cpu_address_sizes: '46 bits physical, 48 bits virtual',
    cpu_byte_order: 'Little Endian',
    total_cpus: 16,
    online_cpus: '0-15',
    vendor_id: 'GenuineIntel',
    cpu_name: 'Intel(R) Xeon(R) E-2288G CPU @ 3.70GHz',
    cpu_family: 6,
    model: 85,
    threads_per_core: 2,
    cores_per_socket: 4,
    sockets: 2,
    stepping: 4,
    cpu_max_mhz: 5000.0,
    cpu_min_mhz: 800.0
  }
];

const workbook = xlsx.utils.book_new();
const worksheet = xlsx.utils.json_to_sheet(data, { headers: headers });

// Add some styling to the header row
worksheet['!cols'] = headers.map(() => ({ wch: 20 })); // Set column width

xlsx.utils.book_append_sheet(workbook, worksheet, 'Compute Resources');
xlsx.writeFile(workbook, 'compute_resources_template.xlsx');

console.log('Excel template has been created successfully!');