from flask import Flask, render_template, jsonify
from visent import VisentClient
import os

app = Flask(__name__)
client = VisentClient(api_key=os.getenv('VISENT_API_KEY'))

@app.route('/')
def dashboard():
    return render_template('dashboard.html')

@app.route('/api/metrics')
def get_metrics():
    try:
        # Get metrics for all nodes
        nodes = ['gpu-worker-1', 'gpu-worker-2', 'gpu-worker-3']
        metrics = []
        
        for node in nodes:
            node_metrics = client.telemetry.get_metrics(node=node)
            metrics.append({
                'node': node,
                'utilization': node_metrics.utilization,
                'memory_used': node_metrics.memory_used,
                'temperature': node_metrics.temperature
            })
        
        return jsonify({'metrics': metrics})
    except Exception as e:
        return jsonify({'error': str(e)}), 500

if __name__ == '__main__':
    app.run(debug=True)

import asyncio
from visent import AsyncVisentClient
from datetime import datetime, timedelta

class CostOptimizer:
    def __init__(self, api_key):
        self.client = AsyncVisentClient(api_key=api_key)
    
    async def analyze_workload_costs(self, workload_config):
        """Analyze costs across different providers and regions"""
        providers = ['aws', 'gcp', 'azure']
        regions = ['us-east-1', 'us-west-2', 'eu-west-1']
        gpu_types = ['h100', 'a100', 'v100']
        
        results = []
        
        for provider in providers:
            for region in regions:
                for gpu in gpu_types:
                    try:
                        pricing = await self.client.atlas.get_current_pricing(
                            gpu=gpu,
                            provider=provider,
                            region=region
                        )
                        
                        # Calculate monthly cost estimate
                        monthly_cost = pricing.price_per_hour * 24 * 30
                        
                        results.append({
                            'provider': provider,
                            'region': region,
                            'gpu': gpu,
                            'hourly_cost': pricing.price_per_hour,
                            'monthly_cost': monthly_cost,
                            'availability': pricing.availability
                        })
                        
                    except Exception as e:
                        print(f"Error getting pricing for {provider}/{region}/{gpu}: {e}")
        
        # Sort by cost
        results.sort(key=lambda x: x['monthly_cost'])
        return results
    
    async def get_optimization_recommendations(self, budget, requirements):
        """Get cost optimization recommendations"""
        return await self.client.atlas.get_optimization_recommendations(
            budget=budget,
            workload='ml-training',
            requirements=requirements
        )

async def main():
    optimizer = CostOptimizer(api_key='your_api_key')
    
    # Analyze costs
    cost_analysis = await optimizer.analyze_workload_costs({})
    
    print("Top 5 most cost-effective options:")
    for option in cost_analysis[:5]:
        print(f"{option['provider']} {option['region']} {option['gpu']}: ${option['monthly_cost']:.2f}/month")
    
    # Get recommendations
    recommendations = await optimizer.get_optimization_recommendations(
        budget=5000,
        requirements={'min_gpus': 4, 'memory_per_gpu': '40GB'}
    )
    
    print(f"\nOptimization recommendations: {recommendations}")

if __name__ == '__main__':
    asyncio.run(main())

package main

import (
    "context"
    "fmt"
    "log"
    "time"
    
    "github.com/visent/go-sdk"
)

type BenchmarkSuite struct {
    client *visent.Client
}

func NewBenchmarkSuite(apiKey string) *BenchmarkSuite {
    return &BenchmarkSuite{
        client: visent.NewClient(visent.Config{
            APIKey: apiKey,
        }),
    }
}

func (bs *BenchmarkSuite) RunComparisonBenchmark(ctx context.Context) error {
    gpus := []string{"h100", "a100", "v100"}
    models := []string{"resnet50", "bert-large", "gpt-3"}
    
    results := make(map[string]map[string]*visent.BenchmarkResult)
    
    for _, gpu := range gpus {
        results[gpu] = make(map[string]*visent.BenchmarkResult)
        
        for _, model := range models {
            fmt.Printf("Running benchmark: %s on %s\n", model, gpu)
            
            // Start benchmark
            benchmark, err := bs.client.Forge.StartBenchmark(ctx, &visent.BenchmarkRequest{
                Type: "ml-training",
                GPU:  gpu,
                Config: map[string]interface{}{
                    "model":      model,
                    "batch_size": 32,
                    "iterations": 100,
                },
            })
            if err != nil {
                log.Printf("Failed to start benchmark %s/%s: %v", gpu, model, err)
                continue
            }
            
            // Wait for completion
            result, err := bs.client.Forge.WaitForCompletion(ctx, benchmark.JobID, visent.WaitOptions{
                PollInterval: 30 * time.Second,
                Timeout:      time.Hour,
            })
            if err != nil {
                log.Printf("Benchmark %s/%s failed: %v", gpu, model, err)
                continue
            }
            
            results[gpu][model] = result
            fmt.Printf("Completed: %s/%s - Throughput: %.1f ops/sec\n", 
                gpu, model, result.Metrics.Throughput)
        }
    }
    
    // Generate comparison report
    bs.generateReport(results)
    return nil
}

func (bs *BenchmarkSuite) generateReport(results map[string]map[string]*visent.BenchmarkResult) {
    fmt.Println("\n=== Benchmark Comparison Report ===")
    fmt.Printf("%-10s %-15s %-15s %-10s\n", "GPU", "Model", "Throughput", "Latency")
    fmt.Println(strings.Repeat("-", 55))
    
    for gpu, modelResults := range results {
        for model, result := range modelResults {
            if result != nil {
                fmt.Printf("%-10s %-15s %-15.1f %-10.1f\n",
                    gpu, model, result.Metrics.Throughput, result.Metrics.Latency)
            }
        }
    }
}

func main() {
    suite := NewBenchmarkSuite(os.Getenv("VISENT_API_KEY"))
    
    ctx := context.Background()
    if err := suite.RunComparisonBenchmark(ctx); err != nil {
        log.Fatal(err)
    }
}