source: branches/3026_IntegrationIntoSymSpace/HeuristicLab.JsonInterface.App/Runner.cs @ 17639

using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;
using HeuristicLab.Optimization;
using HeuristicLab.ParallelEngine;
using HeuristicLab.Problems.DataAnalysis.Symbolic;
using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
using HeuristicLab.SequentialEngine;
using Newtonsoft.Json.Linq;

namespace HeuristicLab.JsonInterface.App {
  internal static class Runner {
    internal static void Run(string template, string config, string outputFile) {
      try {
        InstantiatorResult instantiatorResult = JsonTemplateInstantiator.Instantiate(template, config);
        IOptimizer optimizer = instantiatorResult.Optimizer;
        IEnumerable<IResultJsonItem> configuredResultItem = instantiatorResult.ConfiguredResultItems;

        optimizer.Runs.Clear();
        if (optimizer is EngineAlgorithm e)
          e.Engine = new ParallelEngine.ParallelEngine();

        Task task = optimizer.StartAsync();
        while (!task.IsCompleted) {
          WriteResultsToFile(outputFile, optimizer, configuredResultItem);
          Thread.Sleep(100);
        }

        WriteResultsToFile(outputFile, optimizer, configuredResultItem);
      } catch (Exception e) {
        File.WriteAllText(outputFile, e.Message + "\n\n\n\n" + e.StackTrace);
      }
    }

    private static void WriteResultsToFile(string file, IOptimizer optimizer, IEnumerable<IResultJsonItem> configuredResultItem) =>
      File.WriteAllText(file, FetchResults(optimizer, configuredResultItem));

    private static string FetchResults(IOptimizer optimizer, IEnumerable<IResultJsonItem> configuredResultItem) {
      JArray arr = new JArray();
      IEnumerable<string> configuredResults = configuredResultItem.Select(x => x.Name);

      foreach (var run in optimizer.Runs) {
        JObject obj = new JObject();
        arr.Add(obj);
        obj.Add("Run", JToken.FromObject(run.ToString()));

        // add empty values for configured results
        var emptyToken = JToken.FromObject("");
        foreach (var cr in configuredResults) {
          obj.Add(cr, emptyToken);
        }

        // change empty values with calculated values
        var formatter = new SymbolicDataAnalysisExpressionMATLABFormatter();
        foreach (var res in run.Results) {
          if(obj.ContainsKey(res.Key)) {
            if (res.Value is ISymbolicRegressionSolution solution) {
              var formattedModel = formatter.Format(solution.Model.SymbolicExpressionTree);
              obj[res.Key] = JToken.FromObject(formattedModel);
            } else {
              obj[res.Key] = JToken.FromObject(res.Value.ToString());
            }
          }
        }
      }
      return SingleLineArrayJsonWriter.Serialize(arr);
    }
  }
}