a32cb61b9d
* Yaml config: actions, transports, tasks * Find only one node and subgraph connected with graph root and this node Change-Id: I29935f66152869e169bbe1f0fba7b52cf228b439
113 lines
3.4 KiB
Python
113 lines
3.4 KiB
Python
# Copyright (c) 2013 Mirantis Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import json
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import networkx as nx
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import yaml
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from time import sleep
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from yaml import composer
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from taskflow import task
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from taskflow import engines
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from taskflow.patterns import graph_flow
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class BaseServiceTask(task.Task):
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def __init__(self, provides=None, requires=None,
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execute=None, name=None, config=None):
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super(BaseServiceTask, self).__init__(provides=provides,
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requires=requires,
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name=name)
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self.config = config
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def revert(self, *args, **kwargs):
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print ("Task '%s' is REVERTING" % self.name)
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#TODO (nmakhotkin) here should be a really action
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def do_action(self, *args, **kwargs):
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pass
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def execute(self, *args, **kwargs):
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return self.do_action(args, kwargs)
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class ServiceTask(BaseServiceTask):
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def do_action(self, *args, **kwargs):
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action = self.config["actions"][self.name]
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transport_name = action.get("transport", None)
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print("Action executing: " + self.name + ",")
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print("Doing " + str(action))
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if transport_name:
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transport = self.config["transports"][transport_name]
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print("transport: " + str(transport))
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print("")
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sleep(0.5)
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def get_task(task_name, task_data, config):
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return ServiceTask(
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provides=task_name,
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requires=task_data.get("requires", []),
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name=task_name,
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config=config
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)
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def get_stream(file_name):
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return open(file_name).read()
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def load_flow(cfg_stream):
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try:
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config = yaml.load(cfg_stream)
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except composer.ComposerError:
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config = json.loads(cfg_stream)
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except ValueError:
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raise RuntimeError("Config could not be parsed.")
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tasks = config["tasks"]
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name = tasks.items()[-1][0]
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flow = graph_flow.Flow(name)
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for name, data in tasks.items():
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flow.add(get_task(name, data, config))
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return flow
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def get_by_name(graph, name):
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for node in graph:
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if node.name == name:
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return node
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return None
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def get_root(graph):
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for node in graph:
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if len(graph.predecessors(node)) == 0:
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return node
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if __name__ == "__main__":
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flow = load_flow(get_stream("concepts/use_case_example.yaml"))
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graph = nx.DiGraph(flow._graph.copy())
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ex_cfg = json.load(open("concepts/execute_config.json"))
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all_paths = nx.all_simple_paths(graph,
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get_root(graph),
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get_by_name(graph,
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ex_cfg["executeTask"]))
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nodes_set = set([node for path in all_paths for node in path])
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sub_graph = graph.subgraph(nodes_set)
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our_flow = graph_flow.Flow(name=flow.name)
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our_flow._swap(sub_graph)
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engines.run(our_flow, engine_conf="parallel")
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