#38: generate a WfInstance from a .dot file

wfcommons/common/workflow.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 #
-# Copyright (c) 2020-2023 The WfCommons Team.
+# Copyright (c) 2020-2024 The WfCommons Team.
 #
 # This program is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
@@ -15,7 +15,7 @@
 
 from datetime import datetime
 from typing import Optional, List
-from ..common.task import Task
+from ..common.task import Task, TaskType
 from ..version import __version__
 
 from ..wfchef.utils import create_graph
@@ -172,6 +172,27 @@ def write_dot(self, dot_file_path: Optional[pathlib.Path] = None) -> None:
             dot_file_path = pathlib.Path(f"{self.name.lower()}.dot")
         nx.nx_agraph.write_dot(self, dot_file_path)
 
+    def read_dot(self, dot_file_path: Optional[pathlib.Path] = None) -> None:
+        """
+        Read a dot file of the workflow instance.
+
+        :param dot_file_path: DOT input file name.
+        :type dot_file_path: Optional[pathlib.Path]
+        """
+        if not dot_file_path:
+            raise FileNotFoundError(f"Not able to find the dot file: {dot_file_path}.")
+        graph = nx.drawing.nx_pydot.read_dot(dot_file_path)
+
+        tasks_map = {}
+        for node in graph.nodes(data=True):
+            task_name = f"{node[1]['label']}_{node[0]}"
+            task = Task(name=task_name, task_type=TaskType.COMPUTE, runtime=0, task_id=node[0])
+            self.add_task(task)
+            tasks_map[node[0]] = task_name
+
+        for edge in graph.edges:
+            self.add_dependency(tasks_map[edge[0]], tasks_map[edge[1]])
+
     def to_nx_digraph(self) -> nx.DiGraph:
         with tempfile.NamedTemporaryFile() as temp:
             self.write_json(pathlib.Path(temp.name))