How to use parallel_on_machines method in autotest

Best Python code snippet using autotest_python

site_server_job.py

Source:site_server_job.py Github

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1# Copyright (c) 2011 The Chromium OS Authors. All rights reserved.2# Use of this source code is governed by a BSD-style license that can be3# found in the LICENSE file.4"""Site extensions to server_job. Adds distribute_across_machines()."""5import os, logging, multiprocessing6from autotest_lib.server import site_gtest_runner, site_server_job_utils7from autotest_lib.server import subcommand8from autotest_lib.server.server_job import base_server_job9import utils10def get_site_job_data(job):11 """Add custom data to the job keyval info.12 When multiple machines are used in a job, change the hostname to13 the platform of the first machine instead of machine1,machine2,... This14 makes the job reports easier to read and keeps the tko_machines table from15 growing too large.16 Args:17 job: instance of server_job.18 Returns:19 keyval dictionary with new hostname value, or empty dictionary.20 """21 site_job_data = {}22 # Only modify hostname on multimachine jobs. Assume all host have the same23 # platform.24 if len(job.machines) > 1:25 # Search through machines for first machine with a platform.26 for host in job.machines:27 keyval_path = os.path.join(job.resultdir, 'host_keyvals', host)28 keyvals = utils.read_keyval(keyval_path)29 host_plat = keyvals.get('platform', None)30 if not host_plat:31 continue32 site_job_data['hostname'] = host_plat33 break34 return site_job_data35class site_server_job(base_server_job):36 """Extend server_job adding distribute_across_machines."""37 def __init__(self, *args, **dargs):38 super(site_server_job, self).__init__(*args, **dargs)39 def run(self, *args, **dargs):40 """Extend server_job.run adding gtest_runner to the namespace."""41 gtest_run = {'gtest_runner': site_gtest_runner.gtest_runner()}42 # Namespace is the 5th parameter to run(). If args has 5 or more43 # entries in it then we need to fix-up this namespace entry.44 if len(args) >= 5:45 args[4].update(gtest_run)46 # Else, if present, namespace must be in dargs.47 else:48 dargs.setdefault('namespace', gtest_run).update(gtest_run)49 # Now call the original run() with the modified namespace containing a50 # gtest_runner51 super(site_server_job, self).run(*args, **dargs)52 def distribute_across_machines(self, tests, machines,53 continuous_parsing=False):54 """Run each test in tests once using machines.55 Instead of running each test on each machine like parallel_on_machines,56 run each test once across all machines. Put another way, the total57 number of tests run by parallel_on_machines is len(tests) *58 len(machines). The number of tests run by distribute_across_machines is59 len(tests).60 Args:61 tests: List of tests to run.62 machines: List of machines to use.63 continuous_parsing: Bool, if true parse job while running.64 """65 # The Queue is thread safe, but since a machine may have to search66 # through the queue to find a valid test the lock provides exclusive67 # queue access for more than just the get call.68 test_queue = multiprocessing.JoinableQueue()69 test_queue_lock = multiprocessing.Lock()70 unique_machine_attributes = []71 sub_commands = []72 work_dir = self.resultdir73 for machine in machines:74 if 'group' in self.resultdir:75 work_dir = os.path.join(self.resultdir, machine)76 mw = site_server_job_utils.machine_worker(self,77 machine,78 work_dir,79 test_queue,80 test_queue_lock,81 continuous_parsing)82 # Create the subcommand instance to run this machine worker.83 sub_commands.append(subcommand.subcommand(mw.run,84 [],85 work_dir))86 # To (potentially) speed up searching for valid tests create a list87 # of unique attribute sets present in the machines for this job. If88 # sets were hashable we could just use a dictionary for fast89 # verification. This at least reduces the search space from the90 # number of machines to the number of unique machines.91 if not mw.attribute_set in unique_machine_attributes:92 unique_machine_attributes.append(mw.attribute_set)93 # Only queue tests which are valid on at least one machine. Record94 # skipped tests in the status.log file using record_skipped_test().95 for test_entry in tests:96 # Check if it's an old style test entry.97 if len(test_entry) > 2 and not isinstance(test_entry[2], dict):98 test_attribs = {'include': test_entry[2]}99 if len(test_entry) > 3:100 test_attribs['exclude'] = test_entry[3]101 if len(test_entry) > 4:102 test_attribs['attributes'] = test_entry[4]103 test_entry = list(test_entry[:2])104 test_entry.append(test_attribs)105 ti = site_server_job_utils.test_item(*test_entry)106 machine_found = False107 for ma in unique_machine_attributes:108 if ti.validate(ma):109 test_queue.put(ti)110 machine_found = True111 break112 if not machine_found:113 self.record_skipped_test(ti)114 # Run valid tests and wait for completion.115 subcommand.parallel(sub_commands)116 def record_skipped_test(self, skipped_test, message=None):117 """Insert a failure record into status.log for this test."""118 msg = message119 if msg is None:120 msg = 'No valid machines found for test %s.' % skipped_test121 logging.info(msg)122 self.record('START', None, skipped_test.test_name)123 self.record('INFO', None, skipped_test.test_name, msg)...

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