def parse(self, content, device, job_id, logger, dispatcher_config, env_dut=None): data = yaml.safe_load(content) job = Job(job_id, data, logger) test_counts = {} job.device = device job.parameters["env_dut"] = env_dut # Load the dispatcher config job.parameters["dispatcher"] = {} if dispatcher_config is not None: config = yaml.safe_load(dispatcher_config) if isinstance(config, dict): job.parameters["dispatcher"] = config 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_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") connection_namespace = test_parameters.get( "connection-namespace", namespace ) if namespace in job.test_info: job.test_info[namespace].append( {"class": test_type, "parameters": test_parameters} ) else: job.test_info.update( {namespace: [{"class": test_type, "parameters": test_parameters}]} ) if namespace != connection_namespace: job.test_info.update( { connection_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"]: 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": action = parse_action( action_data, name, device, pipeline, job.test_info, test_counts[namespace], ) if name == "test" and action.needs_overlay(): 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 repeating[repeat_action]["repeat-count"] = c_iter namespace = repeating[repeat_action].setdefault( "namespace", "common" ) test_counts.setdefault(namespace, 1) action = parse_action( repeating, repeat_action, device, pipeline, job.test_info, test_counts[namespace], ) if repeat_action == "test" and action.needs_overlay(): test_counts[namespace] += 1 elif name == "command": action = CommandAction() action.parameters = action_data[name] pipeline.add_action(action) else: raise JobError("Unknown action name '%s'" % name) # there's always going to need to be a finalize_process action finalize = FinalizeAction() pipeline.add_action(finalize) finalize.populate(None) 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
def parse(self, content, device, job_id, logger, dispatcher_config, env_dut=None): self.loader = yaml.SafeLoader(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, logger) test_counts = {} job.device = device job.parameters['env_dut'] = env_dut # Load the dispatcher config job.parameters['dispatcher'] = {} if dispatcher_config is not None: config = yaml.safe_load(dispatcher_config) if isinstance(config, dict): job.parameters['dispatcher'] = config 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') connection_namespace = test_parameters.get('connection-namespace', namespace) 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}]}) if namespace != connection_namespace: test_info.update({connection_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 '%s'" % name) # there's always going to need to be a finalize_process action finalize = FinalizeAction() pipeline.add_action(finalize) finalize.populate(None) 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