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| 1 #!/usr/bin/env python | |
| 2 # Copyright 2010 Google Inc. All Rights Reserved. | |
| 3 # | |
| 4 # Licensed under the Apache License, Version 2.0 (the "License"); | |
| 5 # you may not use this file except in compliance with the License. | |
| 6 # You may obtain a copy of the License at | |
| 7 # | |
| 8 # http://www.apache.org/licenses/LICENSE-2.0 | |
| 9 # | |
| 10 # Unless required by applicable law or agreed to in writing, software | |
| 11 # distributed under the License is distributed on an "AS IS" BASIS, | |
| 12 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 13 # See the License for the specific language governing permissions and | |
| 14 # limitations under the License. | |
| 15 | |
| 16 import threading | |
| 17 | |
| 18 | |
| 19 class DaemonServer(object): | |
| 20 """Base class which manages creation and cleanup of daemon style servers.""" | |
| 21 | |
| 22 def __enter__(self): | |
| 23 # TODO: Because of python's Global Interpreter Lock (GIL), the threads | |
| 24 # will run on the same CPU. Consider using processes instead because | |
| 25 # the components do not need to communicate with each other. On Linux, | |
| 26 # "taskset" could be used to assign each process to specific CPU/core. | |
| 27 # Of course, only bother with this if the processing speed is an issue. | |
| 28 # Some related discussion: http://stackoverflow.com/questions/990102/python- | |
| 29 # global-interpreter-lock-gil-workaround-on-multi-core-systems-using-tasks | |
| 30 thread = threading.Thread(target=self.serve_forever) | |
| 31 thread.daemon = True # Python exits when no non-daemon threads are left. | |
| 32 thread.start() | |
| 33 return self | |
| 34 | |
| 35 def __exit__(self, unused_exc_type, unused_exc_val, unused_exc_tb): | |
| 36 self.cleanup() | |
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