github.com/apache/beam/sdks/v2@v2.48.2/python/apache_beam/examples/complete/juliaset/setup.py (about) 1 # 2 # Licensed to the Apache Software Foundation (ASF) under one or more 3 # contributor license agreements. See the NOTICE file distributed with 4 # this work for additional information regarding copyright ownership. 5 # The ASF licenses this file to You under the Apache License, Version 2.0 6 # (the "License"); you may not use this file except in compliance with 7 # the License. You may obtain a copy of the License at 8 # 9 # http://www.apache.org/licenses/LICENSE-2.0 10 # 11 # Unless required by applicable law or agreed to in writing, software 12 # distributed under the License is distributed on an "AS IS" BASIS, 13 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 14 # See the License for the specific language governing permissions and 15 # limitations under the License. 16 # 17 18 """Setup.py module for the workflow's worker utilities. 19 20 All the workflow related code is gathered in a package that will be built as a 21 source distribution, staged in the staging area for the workflow being run and 22 then installed in the workers when they start running. 23 24 This behavior is triggered by specifying the --setup_file command line option 25 when running the workflow for remote execution. 26 """ 27 28 # pytype: skip-file 29 30 import subprocess 31 32 import setuptools 33 34 # It is recommended to import setuptools prior to importing distutils to avoid 35 # using legacy behavior from distutils. 36 # https://setuptools.readthedocs.io/en/latest/history.html#v48-0-0 37 from distutils.command.build import build as _build # isort:skip 38 39 40 # This class handles the pip install mechanism. 41 class build(_build): # pylint: disable=invalid-name 42 """A build command class that will be invoked during package install. 43 44 The package built using the current setup.py will be staged and later 45 installed in the worker using `pip install package'. This class will be 46 instantiated during install for this specific scenario and will trigger 47 running the custom commands specified. 48 """ 49 sub_commands = _build.sub_commands + [('CustomCommands', None)] 50 51 52 # Some custom command to run during setup. The command is not essential for this 53 # workflow. It is used here as an example. Each command will spawn a child 54 # process. Typically, these commands will include steps to install non-Python 55 # packages. For instance, to install a C++-based library libjpeg62 the following 56 # two commands will have to be added: 57 # 58 # ['apt-get', 'update'], 59 # ['apt-get', '--assume-yes', 'install', 'libjpeg62'], 60 # 61 # First, note that there is no need to use the sudo command because the setup 62 # script runs with appropriate access. 63 # Second, if apt-get tool is used then the first command needs to be 'apt-get 64 # update' so the tool refreshes itself and initializes links to download 65 # repositories. Without this initial step the other apt-get install commands 66 # will fail with package not found errors. Note also --assume-yes option which 67 # shortcuts the interactive confirmation. 68 # 69 # Note that in this example custom commands will run after installing required 70 # packages. If you have a PyPI package that depends on one of the custom 71 # commands, move installation of the dependent package to the list of custom 72 # commands, e.g.: 73 # 74 # ['pip', 'install', 'my_package'], 75 # 76 # TODO(https://github.com/apache/beam/issues/18568): Output from the custom 77 # commands are missing from the logs. The output of custom commands (including 78 # failures) will be logged in the worker-startup log. 79 CUSTOM_COMMANDS = [['echo', 'Custom command worked!']] 80 81 82 class CustomCommands(setuptools.Command): 83 """A setuptools Command class able to run arbitrary commands.""" 84 def initialize_options(self): 85 pass 86 87 def finalize_options(self): 88 pass 89 90 def RunCustomCommand(self, command_list): 91 print('Running command: %s' % command_list) 92 p = subprocess.Popen( 93 command_list, 94 stdin=subprocess.PIPE, 95 stdout=subprocess.PIPE, 96 stderr=subprocess.STDOUT) 97 # Can use communicate(input='y\n'.encode()) if the command run requires 98 # some confirmation. 99 stdout_data, _ = p.communicate() 100 print('Command output: %s' % stdout_data) 101 if p.returncode != 0: 102 raise RuntimeError( 103 'Command %s failed: exit code: %s' % (command_list, p.returncode)) 104 105 def run(self): 106 for command in CUSTOM_COMMANDS: 107 self.RunCustomCommand(command) 108 109 110 # Configure the required packages and scripts to install. 111 # Note that the Python Dataflow containers come with numpy already installed 112 # so this dependency will not trigger anything to be installed unless a version 113 # restriction is specified. 114 REQUIRED_PACKAGES = [ 115 'numpy', 116 ] 117 118 setuptools.setup( 119 name='juliaset', 120 version='0.0.1', 121 description='Julia set workflow package.', 122 install_requires=REQUIRED_PACKAGES, 123 packages=setuptools.find_packages(), 124 cmdclass={ 125 # Command class instantiated and run during pip install scenarios. 126 'build': build, 127 'CustomCommands': CustomCommands, 128 })