1 | using System;
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2 | using System.Collections.Generic;
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3 | using System.Linq;
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4 | using System.Text;
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5 | using HeuristicLab.BioBoost.Data;
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6 | using HeuristicLab.Core;
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7 | using HeuristicLab.Data;
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8 | using SharpMap.Data;
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9 |
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10 | namespace HeuristicLab.BioBoost.ProblemDescription {
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11 | public class SolutionSpaceDiscoverer {
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12 |
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13 | private enum ProductCheck { None, NonFeasible, InProgress, Feasible };
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14 |
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15 | // caches
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16 | private readonly List<Product> products;
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17 | private readonly HashSet<string> transportableProductNames;
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18 | private readonly List<Conversion> conversions;
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19 | private readonly Dictionary<string, double> prices;
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20 | private readonly Dictionary<Product, List<Conversion>> choices;
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21 |
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22 | // status
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23 | private readonly Dictionary<Product, ProductCheck> currentChecks;
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24 |
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25 | // results
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26 | public List<string> FeasibleFeedstocks { get; private set; }
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27 | public List<string> FeasibleTransports { get; private set; }
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28 | public Dictionary<string, List<string>> FeasibleChoices { get; private set; }
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29 | public Dictionary<string, string> FeasibilityAnalysis { get; private set; }
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30 | public int MaxDepth { get; private set; }
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31 |
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32 | public SolutionSpaceDiscoverer(IEnumerable<string> feedstockNames, List<Product> products, IEnumerable<Logistic> logistics, IEnumerable<Conversion> conversions) {
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33 | this.products = products.ToList();
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34 | transportableProductNames = new HashSet<string>();
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35 | foreach (var l in logistics) {
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36 | transportableProductNames.Add(l.Product);
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37 | }
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38 | this.conversions = conversions.ToList();
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39 | this.prices = products.ToDictionary(p => p.Label, p => p.Price);
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40 | this.choices = new Dictionary<Product, List<Conversion>>();
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41 |
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42 | this.currentChecks = products.ToDictionary(p => p, p => ProductCheck.None);
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43 |
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44 | this.FeasibilityAnalysis = products.ToDictionary(p => p.Label, p => string.Empty);
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45 | this.FeasibleFeedstocks = new List<string>();
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46 | this.FeasibleTransports = new List<string>();
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47 | this.MaxDepth = 0;
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48 | var feedstocks = new HashSet<string>(feedstockNames);
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49 | var feedstockProducts = products.Where(p => feedstocks.Contains(p.Label)).ToList();
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50 | foreach (var input in feedstockProducts) {
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51 | if (CheckProduct(input)) {
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52 | FeasibleFeedstocks.Add(input.Label);
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53 | }
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54 | }
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55 | foreach (var pair in currentChecks) {
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56 | if (pair.Value == ProductCheck.Feasible) {
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57 | FeasibleTransports.Add(pair.Key.Label);
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58 | List<Conversion> newChoices = null;
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59 | if (choices.TryGetValue(pair.Key, out newChoices)) {
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60 | FeasibleChoices.Add(pair.Key.Label, newChoices.Select(c => c.Label).ToList());
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61 | }
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62 | }
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63 | }
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64 | }
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65 |
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66 | public SolutionSpaceDiscoverer(IEnumerable<string> feedstockNames, List<DataItem> dataItems)
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67 | : this(feedstockNames, dataItems.OfType<Product>().ToList(), dataItems.OfType<Logistic>(), dataItems.OfType<Conversion>()) {}
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68 |
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69 |
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70 | private bool CheckProduct(Product inputProduct, int currentDepth = 1) {
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71 |
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72 | switch (currentChecks[inputProduct]) {
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73 | case ProductCheck.Feasible:
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74 | return true;
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75 | case ProductCheck.NonFeasible:
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76 | return false;
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77 | case ProductCheck.InProgress:
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78 | FeasibilityAnalysis[inputProduct.Label] += "not checked recursively: circular dependency";
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79 | return false;
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80 | case ProductCheck.None:
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81 | break;
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82 | }
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83 | currentChecks[inputProduct] = ProductCheck.InProgress;
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84 |
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85 | // transportable?
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86 | if (!transportableProductNames.Contains(inputProduct.Label)) {
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87 | currentChecks[inputProduct] = ProductCheck.NonFeasible;
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88 | FeasibilityAnalysis[inputProduct.Label] += "NOT transportable";
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89 | return false; // not transportable
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90 | }
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91 |
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92 | // convertable?
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93 | var otherOutputProducts = new HashSet<Product>();
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94 | var profitableOutputProducts = new HashSet<Product>();
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95 | var profitableConversions = new List<Conversion>();
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96 | foreach (var c in conversions.Where(c => c.Feedstock == inputProduct.Label)) {
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97 |
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98 | // outputs?
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99 | foreach (var outputProductParameter in c.Products) {
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100 | var outputProductName = outputProductParameter.Name;
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101 | var outputAmount = outputProductParameter.Value as DoubleValue;
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102 | if (string.IsNullOrEmpty(outputProductName))
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103 | continue; // no product
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104 | var product = products.FirstOrDefault(p2 => p2.Label == outputProductName);
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105 | if (product == null || outputAmount == null)
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106 | continue; // not a real product
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107 | double amount = outputAmount.Value;
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108 | double price;
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109 | if (prices.TryGetValue(product.Label, out price) && price*amount > 0) {
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110 | profitableOutputProducts.Add(product);
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111 | } else {
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112 | otherOutputProducts.Add(product);
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113 | }
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114 | }
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115 | // recurse
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116 | foreach (var p in profitableOutputProducts)
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117 | CheckProduct(p, currentDepth + 1);
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118 | var otherProfits = otherOutputProducts.Any(p => CheckProduct(p, currentDepth + 1));
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119 |
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120 | // analyze
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121 | if (profitableOutputProducts.Count == 0 && !otherProfits) {
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122 | currentChecks[inputProduct] = ProductCheck.NonFeasible;
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123 | FeasibilityAnalysis[inputProduct.Label] += "NO profitable direct or indirect output products";
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124 | } else {
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125 | currentChecks[inputProduct] = ProductCheck.Feasible;
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126 | MaxDepth = Math.Max(MaxDepth, currentDepth);
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127 | profitableConversions.Add(c);
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128 | if (profitableOutputProducts.Count > 0) FeasibilityAnalysis[inputProduct.Label] += "profitable direct output products ";
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129 | if (otherProfits) FeasibilityAnalysis[inputProduct.Label] += "profitable indirect output products";
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130 | }
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131 | }
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132 |
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133 | // conclusion
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134 | if (profitableConversions.Count > 1)
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135 | choices.Add(inputProduct, profitableConversions);
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136 | return profitableConversions.Count > 0;
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137 | }
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138 | }
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139 | }
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