annotate extract_workflow_connections.py @ 3:5b3c08710e47 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/recommendation_training/tools/tool_recommendation_model commit c635df659fe1835679438589ded43136b0e515c6"
author bgruening
date Sat, 09 May 2020 05:38:23 -0400
parents 9bf25dbe00ad
children 4f7e6612906b
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1 """
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2 Extract workflow paths from the tabular file containing
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3 input and output tools
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4 """
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6 import csv
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7 import random
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9 import utils
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12 class ExtractWorkflowConnections:
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14 def __init__(self):
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15 """ Init method. """
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16
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17 def collect_standard_connections(self, row):
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18 published = row[8]
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19 deleted = row[9]
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20 has_errors = row[10]
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21 if published == "t" and deleted == "f" and has_errors == "f":
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22 return True
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23 return False
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24
0
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25 def read_tabular_file(self, raw_file_path):
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26 """
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27 Read tabular file and extract workflow connections
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28 """
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29 print("Reading workflows...")
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30 workflows = {}
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31 workflow_paths_dup = ""
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32 workflow_parents = dict()
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33 workflow_paths = list()
3
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34 unique_paths = dict()
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35 standard_connections = dict()
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36 with open(raw_file_path, 'rt') as workflow_connections_file:
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37 workflow_connections = csv.reader(workflow_connections_file, delimiter='\t')
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38 for index, row in enumerate(workflow_connections):
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39 wf_id = str(row[0])
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40 in_tool = row[3]
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41 out_tool = row[6]
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42 if wf_id not in workflows:
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43 workflows[wf_id] = list()
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44 if out_tool and in_tool and out_tool != in_tool:
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45 workflows[wf_id].append((out_tool, in_tool))
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46 qc = self.collect_standard_connections(row)
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47 if qc:
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48 i_t = utils.format_tool_id(in_tool)
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49 o_t = utils.format_tool_id(out_tool)
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50 if i_t not in standard_connections:
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51 standard_connections[i_t] = list()
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52 if o_t not in standard_connections[i_t]:
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53 standard_connections[i_t].append(o_t)
0
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54 print("Processing workflows...")
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55 wf_ctr = 0
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56 for wf_id in workflows:
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57 wf_ctr += 1
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58 workflow_parents[wf_id] = self.read_workflow(wf_id, workflows[wf_id])
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59
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60 for wf_id in workflow_parents:
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61 flow_paths = list()
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62 parents_graph = workflow_parents[wf_id]
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63 roots, leaves = self.get_roots_leaves(parents_graph)
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64 for root in roots:
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65 for leaf in leaves:
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66 paths = self.find_tool_paths_workflow(parents_graph, root, leaf)
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67 # reverse the paths as they are computed from leaves to roots leaf
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68 paths = [tool_path for tool_path in paths]
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69 if len(paths) > 0:
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70 flow_paths.extend(paths)
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71 workflow_paths.extend(flow_paths)
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72 print("Workflows processed: %d" % wf_ctr)
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73
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74 # remove slashes from the tool ids
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75 wf_paths_no_slash = list()
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76 for path in workflow_paths:
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77 path_no_slash = [utils.format_tool_id(tool_id) for tool_id in path]
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78 wf_paths_no_slash.append(path_no_slash)
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79
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80 # collect duplicate paths
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81 for path in wf_paths_no_slash:
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82 workflow_paths_dup += ",".join(path) + "\n"
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83
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84 # collect unique paths
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85 unique_paths = list(workflow_paths_dup.split("\n"))
9bf25dbe00ad "planemo upload for repository https://github.com/bgruening/galaxytools/tree/recommendation_training/tools/tool_recommendation_model commit 7fac577189d01cedd01118a77fc2baaefe7d5cad"
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86 unique_paths = list(filter(None, unique_paths))
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87 random.shuffle(unique_paths)
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88 no_dup_paths = list(set(unique_paths))
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89
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90 print("Finding compatible next tools...")
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91 compatible_next_tools = self.set_compatible_next_tools(no_dup_paths)
3
5b3c08710e47 "planemo upload for repository https://github.com/bgruening/galaxytools/tree/recommendation_training/tools/tool_recommendation_model commit c635df659fe1835679438589ded43136b0e515c6"
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92 return unique_paths, compatible_next_tools, standard_connections
0
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93
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94 def set_compatible_next_tools(self, workflow_paths):
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95 """
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96 Find next tools for each tool
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97 """
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98 next_tools = dict()
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99 for path in workflow_paths:
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100 path_split = path.split(",")
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101 for window in range(0, len(path_split) - 1):
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102 current_next_tools = path_split[window: window + 2]
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103 current_tool = current_next_tools[0]
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104 next_tool = current_next_tools[1]
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105 try:
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106 next_tools[current_tool] += "," + next_tool
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107 except Exception:
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108 next_tools[current_tool] = next_tool
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109 for tool in next_tools:
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110 next_tools[tool] = ",".join(list(set(next_tools[tool].split(","))))
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111 return next_tools
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112
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113 def read_workflow(self, wf_id, workflow_rows):
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114 """
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115 Read all connections for a workflow
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116 """
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117 tool_parents = dict()
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118 for connection in workflow_rows:
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119 in_tool = connection[0]
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120 out_tool = connection[1]
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121 if out_tool not in tool_parents:
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122 tool_parents[out_tool] = list()
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123 if in_tool not in tool_parents[out_tool]:
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124 tool_parents[out_tool].append(in_tool)
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125 return tool_parents
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126
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127 def get_roots_leaves(self, graph):
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128 roots = list()
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129 leaves = list()
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130 all_parents = list()
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131 for item in graph:
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132 all_parents.extend(graph[item])
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133 all_parents = list(set(all_parents))
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134 children = graph.keys()
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135 roots = list(set(all_parents).difference(set(children)))
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136 leaves = list(set(children).difference(set(all_parents)))
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137 return roots, leaves
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138
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139 def find_tool_paths_workflow(self, graph, start, end, path=[]):
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140 path = path + [end]
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141 if start == end:
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142 return [path]
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143 path_list = list()
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144 if end in graph:
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145 for node in graph[end]:
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146 if node not in path:
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147 new_tools_paths = self.find_tool_paths_workflow(graph, start, node, path)
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148 for tool_path in new_tools_paths:
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149 path_list.append(tool_path)
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150 return path_list