Beispiel #1
0
 def test_file_structure(self):
     with open(self.filename) as yaml_data:
         alpha_data = yaml.load(yaml_data)
     self.assertIn('protocols', alpha_data)
     self.assertTrue(VlandProtocol.accepts(alpha_data))
     level_tuple = Protocol.select_all(alpha_data)
     self.assertEqual(len(level_tuple), 2)
     self.assertEqual(VlandProtocol, [
         item[0] for item in sorted(level_tuple, key=lambda data: data[1])
     ][1])
     vprotocol = VlandProtocol(alpha_data, self.job_id)
     self.assertIn(
         'arbit',
         vprotocol.base_group,
     )
     self.assertNotIn(
         'group',
         vprotocol.base_group,
     )
     vprotocol.set_up()
     self.assertIn('port', vprotocol.settings)
     self.assertIn('poll_delay', vprotocol.settings)
     self.assertIn('vland_hostname', vprotocol.settings)
     self.assertEqual(
         vprotocol.base_message, {
             "port": vprotocol.settings['port'],
             "poll_delay": vprotocol.settings["poll_delay"],
             "host": vprotocol.settings['vland_hostname'],
             "client_name": socket.gethostname(),
         })
     for name in vprotocol.names:
         vlan = vprotocol.params[name]
         self.assertIn('tags', vlan)
Beispiel #2
0
 def test_file_structure(self):
     with open(self.filename) as yaml_data:
         alpha_data = yaml.load(yaml_data)
     self.assertIn('protocols', alpha_data)
     self.assertTrue(VlandProtocol.accepts(alpha_data))
     level_tuple = Protocol.select_all(alpha_data)
     self.assertEqual(len(level_tuple), 2)
     self.assertEqual(
         VlandProtocol,
         [
             item[0] for item in sorted(level_tuple, key=lambda data: data[1])
         ][1]
     )
     vprotocol = VlandProtocol(alpha_data)
     self.assertIn(
         'arbit',
         vprotocol.base_group,
     )
     self.assertNotIn(
         'group',
         vprotocol.base_group,
     )
     vprotocol.set_up()
     self.assertIn('port', vprotocol.settings)
     self.assertIn('poll_delay', vprotocol.settings)
     self.assertIn('vland_hostname', vprotocol.settings)
     self.assertEqual(
         vprotocol.base_message,
         {
             "port": vprotocol.settings['port'],
             "poll_delay": vprotocol.settings["poll_delay"],
             "host": vprotocol.settings['vland_hostname'],
             "client_name": socket.gethostname(),
         }
     )
     for name in vprotocol.names:
         vlan = vprotocol.params[name]
         self.assertIn('tags', vlan)
Beispiel #3
0
    def parse(self,
              content,
              device,
              job_id,
              zmq_config,
              dispatcher_config,
              output_dir=None,
              env_dut=None):
        self.loader = yaml.Loader(content)
        self.loader.compose_node = self.compose_node
        self.loader.construct_mapping = self.construct_mapping
        data = self.loader.get_single_data()
        job = Job(job_id, data, zmq_config)
        test_counts = {}
        job.device = device
        job.parameters['output_dir'] = output_dir
        job.parameters['env_dut'] = env_dut
        # Load the dispatcher config
        job.parameters['dispatcher'] = {}
        if dispatcher_config is not None:
            config = yaml.load(dispatcher_config)
            if isinstance(config, dict):
                job.parameters['dispatcher'] = config

        # Setup the logging now that we have the parameters
        job.setup_logging()

        level_tuple = Protocol.select_all(job.parameters)
        # sort the list of protocol objects by the protocol class level.
        job.protocols = [
            item[0](job.parameters, job_id)
            for item in sorted(level_tuple,
                               key=lambda level_tuple: level_tuple[1])
        ]
        pipeline = Pipeline(job=job)
        self._timeouts(data, job)

        # deploy and boot classes can populate the pipeline differently depending
        # on the test action type they are linked with (via namespacing).
        # This code builds an information dict for each namespace which is then
        # passed as a parameter to each Action class to use.
        test_info = {}
        test_actions = ([
            action for action in data['actions'] if 'test' in action
        ])
        for test_action in test_actions:
            test_parameters = test_action['test']
            test_type = LavaTest.select(device, test_parameters)
            namespace = test_parameters.get('namespace', 'common')
            if namespace in test_info:
                test_info[namespace].append({
                    'class': test_type,
                    'parameters': test_parameters
                })
            else:
                test_info.update({
                    namespace: [{
                        'class': test_type,
                        'parameters': test_parameters
                    }]
                })

        # FIXME: also read permissable overrides from device config and set from job data
        # FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
        for action_data in data['actions']:
            action_data.pop('yaml_line', None)
            for name in action_data:
                # Set a default namespace if needed
                namespace = action_data[name].setdefault('namespace', 'common')
                test_counts.setdefault(namespace, 1)

                if name == 'deploy' or name == 'boot' or name == 'test':
                    parse_action(action_data, name, device, pipeline,
                                 test_info, test_counts[namespace])
                    if name == 'test':
                        test_counts[namespace] += 1
                elif name == 'repeat':
                    count = action_data[name][
                        'count']  # first list entry must be the count dict
                    repeats = action_data[name]['actions']
                    for c_iter in range(count):
                        for repeating in repeats:  # block of YAML to repeat
                            for repeat_action in repeating:  # name of the action for this block
                                if repeat_action == 'yaml_line':
                                    continue
                                repeating[repeat_action][
                                    'repeat-count'] = c_iter
                                namespace = repeating[
                                    repeat_action].setdefault(
                                        'namespace', 'common')
                                test_counts.setdefault(namespace, 1)
                                parse_action(repeating, repeat_action, device,
                                             pipeline, test_info,
                                             test_counts[namespace])
                                if repeat_action == 'test':
                                    test_counts[namespace] += 1

                elif name == 'command':
                    action = CommandAction()
                    action.parameters = action_data[name]
                    pipeline.add_action(action)

                else:
                    raise JobError("Unknown action name '%'" % name)

        # there's always going to need to be a finalize_process action
        finalize = FinalizeAction()
        pipeline.add_action(finalize)
        finalize.populate(None)
        data['output_dir'] = output_dir
        job.pipeline = pipeline
        if 'compatibility' in data:
            try:
                job_c = int(job.compatibility)
                data_c = int(data['compatibility'])
            except ValueError as exc:
                raise JobError('invalid compatibility value: %s' % exc)
            if job_c < data_c:
                raise JobError(
                    'Dispatcher unable to meet job compatibility requirement. %d > %d'
                    % (job_c, data_c))
        return job
Beispiel #4
0
    def parse(self,
              content,
              device,
              job_id,
              socket_addr,
              output_dir=None,
              env_dut=None):
        self.loader = yaml.Loader(content)
        self.loader.compose_node = self.compose_node
        self.loader.construct_mapping = self.construct_mapping
        data = self.loader.get_single_data()

        self.context['default_action_duration'] = Timeout.default_duration()
        self.context['default_test_duration'] = Timeout.default_duration()
        job = Job(job_id, socket_addr, data)
        counts = {}
        job.device = device
        job.parameters['output_dir'] = output_dir
        job.parameters['env_dut'] = env_dut
        job.parameters['target'] = device.target
        for instance in Protocol.select_all(job.parameters):
            job.protocols.append(instance(job.parameters))
        pipeline = Pipeline(job=job)
        self._timeouts(data, job)

        # FIXME: also read permissable overrides from device config and set from job data
        # FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
        for action_data in data['actions']:
            action_data.pop('yaml_line', None)
            for name in action_data:
                if type(
                        action_data[name]
                ) is dict:  # FIXME: commands are not fully implemented & may produce a list
                    action_data[name]['default_action_timeout'] = self.context[
                        'default_action_duration']
                    action_data[name]['default_test_timeout'] = self.context[
                        'default_test_duration']
                counts.setdefault(name, 1)
                if name == 'deploy' or name == 'boot' or name == 'test':
                    # reset the context before adding a second deployment and again before third etc.
                    if name == 'deploy' and counts[name] >= 2:
                        reset_context = ResetContext()
                        reset_context.section = name
                        pipeline.add_action(reset_context)
                    parse_action(action_data, name, device, pipeline)
                elif name == 'repeat':
                    count = action_data[name][
                        'count']  # first list entry must be the count dict
                    repeats = action_data[name]['actions']
                    for c_iter in xrange(count):
                        for repeating in repeats:  # block of YAML to repeat
                            for repeat_action in repeating:  # name of the action for this block
                                if repeat_action == 'yaml_line':
                                    continue
                                repeating[repeat_action][
                                    'repeat-count'] = c_iter
                                parse_action(repeating, repeat_action, device,
                                             pipeline)

                else:
                    # May only end up being used for submit as other actions all need strategy method objects
                    # select the specific action of this class for this job
                    action = Action.select(name)()
                    action.job = job
                    # put parameters (like rootfs_type, results_dir) into the actions.
                    if type(action_data[name]) == dict:
                        action.parameters = action_data[name]
                    elif name == "commands":
                        # FIXME
                        pass
                    elif type(action_data[name]) == list:
                        for param in action_data[name]:
                            action.parameters = param
                    action.summary = name
                    action.timeout = Timeout(
                        action.name, self.context['default_action_duration'])
                    pipeline.add_action(action)
                counts[name] += 1

        # there's always going to need to be a finalize_process action
        pipeline.add_action(FinalizeAction())
        data['output_dir'] = output_dir
        job.set_pipeline(pipeline)
        return job
Beispiel #5
0
    def parse(self, content, device, job_id, socket_addr, output_dir=None,
              env_dut=None):
        self.loader = yaml.Loader(content)
        self.loader.compose_node = self.compose_node
        self.loader.construct_mapping = self.construct_mapping
        data = self.loader.get_single_data()

        self.context['default_action_duration'] = Timeout.default_duration()
        self.context['default_test_duration'] = Timeout.default_duration()
        job = Job(job_id, socket_addr, data)
        counts = {}
        job.device = device
        job.parameters['output_dir'] = output_dir
        job.parameters['env_dut'] = env_dut
        job.parameters['target'] = device.target
        level_tuple = Protocol.select_all(job.parameters)
        # sort the list of protocol objects by the protocol class level.
        job.protocols = [item[0](job.parameters) for item in sorted(level_tuple, key=lambda level_tuple: level_tuple[1])]
        pipeline = Pipeline(job=job)
        self._timeouts(data, job)

        # FIXME: also read permissable overrides from device config and set from job data
        # FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
        for action_data in data['actions']:
            action_data.pop('yaml_line', None)
            for name in action_data:
                if type(action_data[name]) is dict:  # FIXME: commands are not fully implemented & may produce a list
                    action_data[name]['default_action_timeout'] = self.context['default_action_duration']
                    action_data[name]['default_test_timeout'] = self.context['default_test_duration']
                counts.setdefault(name, 1)
                if name == 'deploy' or name == 'boot' or name == 'test':
                    # reset the context before adding a second deployment and again before third etc.
                    if name == 'deploy' and counts[name] >= 2:
                        reset_context = ResetContext()
                        reset_context.section = name
                        pipeline.add_action(reset_context)
                    parse_action(action_data, name, device, pipeline)
                elif name == 'repeat':
                    count = action_data[name]['count']  # first list entry must be the count dict
                    repeats = action_data[name]['actions']
                    for c_iter in xrange(count):
                        for repeating in repeats:  # block of YAML to repeat
                            for repeat_action in repeating:  # name of the action for this block
                                if repeat_action == 'yaml_line':
                                    continue
                                repeating[repeat_action]['repeat-count'] = c_iter
                                parse_action(repeating, repeat_action, device, pipeline)

                else:
                    # May only end up being used for submit as other actions all need strategy method objects
                    # select the specific action of this class for this job
                    action = Action.select(name)()
                    action.job = job
                    # put parameters (like rootfs_type, results_dir) into the actions.
                    if type(action_data[name]) == dict:
                        action.parameters = action_data[name]
                    elif name == "commands":
                        # FIXME
                        pass
                    elif type(action_data[name]) == list:
                        for param in action_data[name]:
                            action.parameters = param
                    action.summary = name
                    action.timeout = Timeout(action.name, self.context['default_action_duration'])
                    pipeline.add_action(action)
                counts[name] += 1

        # there's always going to need to be a finalize_process action
        pipeline.add_action(FinalizeAction())
        data['output_dir'] = output_dir
        job.set_pipeline(pipeline)
        return job
Beispiel #6
0
    def parse(self,
              content,
              device,
              job_id,
              socket_addr,
              master_cert,
              slave_cert,
              output_dir=None,
              env_dut=None):
        self.loader = yaml.Loader(content)
        self.loader.compose_node = self.compose_node
        self.loader.construct_mapping = self.construct_mapping
        data = self.loader.get_single_data()

        self.context['default_action_duration'] = Timeout.default_duration()
        self.context['default_test_duration'] = Timeout.default_duration()
        self.context['default_connection_duration'] = Timeout.default_duration(
        )
        job = Job(job_id, socket_addr, master_cert, slave_cert, data)
        counts = {}
        job.device = device
        job.parameters['output_dir'] = output_dir
        job.parameters['env_dut'] = env_dut
        job.parameters['target'] = device.target
        level_tuple = Protocol.select_all(job.parameters)
        # sort the list of protocol objects by the protocol class level.
        job.protocols = [
            item[0](job.parameters, job_id)
            for item in sorted(level_tuple,
                               key=lambda level_tuple: level_tuple[1])
        ]
        pipeline = Pipeline(job=job)
        self._timeouts(data, job)

        # some special handling is needed to tell the overlay classes about the presence or absence of a test action
        test_action = True
        test_list = [action for action in data['actions'] if 'test' in action]
        if test_list and 'test' not in test_list[0]:
            test_action = False

        # FIXME: also read permissable overrides from device config and set from job data
        # FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
        for action_data in data['actions']:
            action_data.pop('yaml_line', None)
            for name in action_data:
                if isinstance(
                        action_data[name], dict
                ):  # FIXME: commands are not fully implemented & may produce a list
                    action_data[name].update(self._map_context_defaults())
                counts.setdefault(name, 1)
                if name == 'deploy' or name == 'boot' or name == 'test':
                    parse_action(action_data, name, device, pipeline,
                                 test_action)
                elif name == 'repeat':
                    count = action_data[name][
                        'count']  # first list entry must be the count dict
                    repeats = action_data[name]['actions']
                    for c_iter in range(count):
                        for repeating in repeats:  # block of YAML to repeat
                            for repeat_action in repeating:  # name of the action for this block
                                if repeat_action == 'yaml_line':
                                    continue
                                repeating[repeat_action][
                                    'repeat-count'] = c_iter
                                parse_action(repeating, repeat_action, device,
                                             pipeline, test_action)

                else:
                    # May only end up being used for submit as other actions all need strategy method objects
                    # select the specific action of this class for this job
                    action = Action.select(name)()
                    action.job = job
                    # put parameters (like rootfs_type, results_dir) into the actions.
                    if isinstance(action_data[name], dict):
                        action.parameters = action_data[name]
                    elif name == "commands":
                        # FIXME
                        pass
                    elif isinstance(action_data[name], list):
                        for param in action_data[name]:
                            action.parameters = param
                    action.summary = name
                    action.timeout = Timeout(
                        action.name, self.context['default_action_duration'])
                    action.connection_timeout = Timeout(
                        action.name,
                        self.context['default_connection_duration'])
                    pipeline.add_action(action)
                counts[name] += 1

        # there's always going to need to be a finalize_process action
        finalize = FinalizeAction()
        pipeline.add_action(finalize)
        finalize.populate(self._map_context_defaults())
        data['output_dir'] = output_dir
        job.set_pipeline(pipeline)
        if 'compatibility' in data:
            try:
                job_c = int(job.compatibility)
                data_c = int(data['compatibility'])
            except ValueError as exc:
                raise JobError('invalid compatibility value: %s' % exc)
            if job_c < data_c:
                raise JobError(
                    'Dispatcher unable to meet job compatibility requirement. %d > %d'
                    % (job_c, data_c))
        return job
Beispiel #7
0
    def parse(self, content, device, job_id, socket_addr, output_dir=None,
              env_dut=None):
        self.loader = yaml.Loader(content)
        self.loader.compose_node = self.compose_node
        self.loader.construct_mapping = self.construct_mapping
        data = self.loader.get_single_data()

        self.context['default_action_duration'] = Timeout.default_duration()
        self.context['default_test_duration'] = Timeout.default_duration()
        self.context['default_connection_duration'] = Timeout.default_duration()
        job = Job(job_id, socket_addr, data)
        counts = {}
        job.device = device
        job.parameters['output_dir'] = output_dir
        job.parameters['env_dut'] = env_dut
        job.parameters['target'] = device.target
        level_tuple = Protocol.select_all(job.parameters)
        # sort the list of protocol objects by the protocol class level.
        job.protocols = [item[0](job.parameters) for item in sorted(level_tuple, key=lambda level_tuple: level_tuple[1])]
        pipeline = Pipeline(job=job)
        self._timeouts(data, job)

        # FIXME: also read permissable overrides from device config and set from job data
        # FIXME: ensure that a timeout for deployment 0 does not get set as the timeout for deployment 1 if 1 is default
        for action_data in data['actions']:
            action_data.pop('yaml_line', None)
            for name in action_data:
                if type(action_data[name]) is dict:  # FIXME: commands are not fully implemented & may produce a list
                    action_data[name].update(self._map_context_defaults())
                counts.setdefault(name, 1)
                if name == 'deploy' or name == 'boot' or name == 'test':
                    parse_action(action_data, name, device, pipeline)
                elif name == 'repeat':
                    count = action_data[name]['count']  # first list entry must be the count dict
                    repeats = action_data[name]['actions']
                    for c_iter in xrange(count):
                        for repeating in repeats:  # block of YAML to repeat
                            for repeat_action in repeating:  # name of the action for this block
                                if repeat_action == 'yaml_line':
                                    continue
                                repeating[repeat_action]['repeat-count'] = c_iter
                                parse_action(repeating, repeat_action, device, pipeline)

                else:
                    # May only end up being used for submit as other actions all need strategy method objects
                    # select the specific action of this class for this job
                    action = Action.select(name)()
                    action.job = job
                    # put parameters (like rootfs_type, results_dir) into the actions.
                    if type(action_data[name]) == dict:
                        action.parameters = action_data[name]
                    elif name == "commands":
                        # FIXME
                        pass
                    elif type(action_data[name]) == list:
                        for param in action_data[name]:
                            action.parameters = param
                    action.summary = name
                    action.timeout = Timeout(action.name, self.context['default_action_duration'])
                    action.connection_timeout = Timeout(action.name, self.context['default_connection_duration'])
                    pipeline.add_action(action)
                counts[name] += 1

        # there's always going to need to be a finalize_process action
        finalize = FinalizeAction()
        pipeline.add_action(finalize)
        finalize.populate(self._map_context_defaults())
        data['output_dir'] = output_dir
        job.set_pipeline(pipeline)
        logger = logging.getLogger('dispatcher')
        logger.warn("pipeline contains %x", pipeline)
        if 'compatibility' in data:
            try:
                job_c = int(job.compatibility)
                data_c = int(data['compatibility'])
            except ValueError as exc:
                raise JobError('invalid compatibility value: %s' % exc)
            if job_c < data_c:
                raise JobError('Dispatcher unable to meet job compatibility requirement. %d > %d' % (job_c, data_c))
        return job