Mercurial > repos > bgruening > create_tool_recommendation_model
view extract_workflow_connections.py @ 1:12764915e1c5 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/recommendation_training/tools/tool_recommendation_model commit edeb85d311990eabd65f3c4576fbeabc6d9165c9"
author | bgruening |
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date | Wed, 25 Sep 2019 06:42:40 -0400 |
parents | 9bf25dbe00ad |
children | 5b3c08710e47 |
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""" Extract workflow paths from the tabular file containing input and output tools """ import csv import random import utils class ExtractWorkflowConnections: @classmethod def __init__(self): """ Init method. """ @classmethod def read_tabular_file(self, raw_file_path): """ Read tabular file and extract workflow connections """ print("Reading workflows...") workflows = {} workflow_paths_dup = "" workflow_parents = dict() workflow_paths = list() unique_paths = list() with open(raw_file_path, 'rt') as workflow_connections_file: workflow_connections = csv.reader(workflow_connections_file, delimiter='\t') for index, row in enumerate(workflow_connections): wf_id = str(row[0]) in_tool = row[3] out_tool = row[6] if wf_id not in workflows: workflows[wf_id] = list() if out_tool and in_tool and out_tool != in_tool: workflows[wf_id].append((in_tool, out_tool)) print("Processing workflows...") wf_ctr = 0 for wf_id in workflows: wf_ctr += 1 workflow_parents[wf_id] = self.read_workflow(wf_id, workflows[wf_id]) for wf_id in workflow_parents: flow_paths = list() parents_graph = workflow_parents[wf_id] roots, leaves = self.get_roots_leaves(parents_graph) for root in roots: for leaf in leaves: paths = self.find_tool_paths_workflow(parents_graph, root, leaf) # reverse the paths as they are computed from leaves to roots leaf paths = [tool_path for tool_path in paths] if len(paths) > 0: flow_paths.extend(paths) workflow_paths.extend(flow_paths) print("Workflows processed: %d" % wf_ctr) # remove slashes from the tool ids wf_paths_no_slash = list() for path in workflow_paths: path_no_slash = [utils.format_tool_id(tool_id) for tool_id in path] wf_paths_no_slash.append(path_no_slash) # collect duplicate paths for path in wf_paths_no_slash: workflow_paths_dup += ",".join(path) + "\n" # collect unique paths unique_paths = list(workflow_paths_dup.split("\n")) unique_paths = list(filter(None, unique_paths)) random.shuffle(unique_paths) no_dup_paths = list(set(unique_paths)) print("Finding compatible next tools...") compatible_next_tools = self.set_compatible_next_tools(no_dup_paths) return unique_paths, compatible_next_tools @classmethod def set_compatible_next_tools(self, workflow_paths): """ Find next tools for each tool """ next_tools = dict() for path in workflow_paths: path_split = path.split(",") for window in range(0, len(path_split) - 1): current_next_tools = path_split[window: window + 2] current_tool = current_next_tools[0] next_tool = current_next_tools[1] try: next_tools[current_tool] += "," + next_tool except Exception: next_tools[current_tool] = next_tool for tool in next_tools: next_tools[tool] = ",".join(list(set(next_tools[tool].split(",")))) return next_tools @classmethod def read_workflow(self, wf_id, workflow_rows): """ Read all connections for a workflow """ tool_parents = dict() for connection in workflow_rows: in_tool = connection[0] out_tool = connection[1] if out_tool not in tool_parents: tool_parents[out_tool] = list() if in_tool not in tool_parents[out_tool]: tool_parents[out_tool].append(in_tool) return tool_parents @classmethod def get_roots_leaves(self, graph): roots = list() leaves = list() all_parents = list() for item in graph: all_parents.extend(graph[item]) all_parents = list(set(all_parents)) children = graph.keys() roots = list(set(all_parents).difference(set(children))) leaves = list(set(children).difference(set(all_parents))) return roots, leaves @classmethod def find_tool_paths_workflow(self, graph, start, end, path=[]): path = path + [end] if start == end: return [path] path_list = list() if end in graph: for node in graph[end]: if node not in path: new_tools_paths = self.find_tool_paths_workflow(graph, start, node, path) for tool_path in new_tools_paths: path_list.append(tool_path) return path_list