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How to use _cleanup_done_results method in lisa

Best Python code snippet using lisa_python
lisa_runner.py
Source:lisa_runner.py
...79        return is_all_results_completed and is_all_environment_completed80    def fetch_task(self) -> Optional[Task[None]]:81        self._prepare_environments()82        self._cleanup_deleted_environments()83        self._cleanup_done_results()84        # sort environments by status85        available_environments = self._sort_environments(self.environments)86        available_results = self._sort_test_results(87            [x for x in self.test_results if x.can_run]88        )89        # check deletable environments90        delete_task = self._delete_unused_environments()91        if delete_task:92            return delete_task93        if available_results and available_environments:94            for priority in range(6):95                can_run_results = self._get_results_by_priority(96                    available_results, priority97                )98                if not can_run_results:99                    continue100                # it means there are test cases and environment, so it needs to101                # schedule task.102                for environment in available_environments:103                    if environment.is_in_use:104                        # skip in used environments105                        continue106                    # try to pick the designated test result.107                    environment_results = [108                        x109                        for x in can_run_results110                        if environment.source_test_result111                        and x.id_ == environment.source_test_result.id_112                    ]113                    if not environment_results:114                        environment_results = self._get_runnable_test_results(115                            test_results=can_run_results, environment=environment116                        )117                    if not environment_results:118                        continue119                    task = self._dispatch_test_result(120                        environment=environment, test_results=environment_results121                    )122                    # there is more checking conditions. If some conditions doesn't123                    # meet, the task is None. If so, not return, and try next124                    # conditions or skip this test case.125                    if task:126                        return task127                if not any(128                    x.is_in_use or x.status == EnvironmentStatus.New129                    for x in available_environments130                ):131                    # if there is no environment in used, new, and results are132                    # not fit envs. those results cannot be run.133                    self._skip_test_results(can_run_results)134        elif available_results:135            # no available environments, so mark all test results skipped.136            self._skip_test_results(available_results)137            self.status = ActionStatus.SUCCESS138        return None139    def close(self) -> None:140        if hasattr(self, "environments") and self.environments:141            for environment in self.environments:142                self._delete_environment_task(environment, [])143        super().close()144    def _dispatch_test_result(145        self, environment: Environment, test_results: List[TestResult]146    ) -> Optional[Task[None]]:147        check_cancelled()148        assert test_results149        can_run_results = test_results150        # deploy151        if environment.status == EnvironmentStatus.Prepared and can_run_results:152            return self._generate_task(153                task_method=self._deploy_environment_task,154                environment=environment,155                test_results=can_run_results[:1],156            )157        # run on deployed environment158        can_run_results = [x for x in can_run_results if x.can_run]159        if environment.status == EnvironmentStatus.Deployed and can_run_results:160            selected_test_results = self._get_test_results_to_run(161                test_results=test_results, environment=environment162            )163            if selected_test_results:164                return self._generate_task(165                    task_method=self._run_test_task,166                    environment=environment,167                    test_results=selected_test_results,168                    case_variables=self._case_variables,169                )170            # Check if there is case to run in a connected environment. If so,171            # initialize the environment172            initialization_results = self._get_runnable_test_results(173                test_results=test_results,174                environment_status=EnvironmentStatus.Connected,175                environment=environment,176            )177            if initialization_results:178                return self._generate_task(179                    task_method=self._initialize_environment_task,180                    environment=environment,181                    test_results=initialization_results,182                )183        # run on connected environment184        can_run_results = [x for x in can_run_results if x.can_run]185        if environment.status == EnvironmentStatus.Connected and can_run_results:186            selected_test_results = self._get_test_results_to_run(187                test_results=test_results, environment=environment188            )189            if selected_test_results:190                return self._generate_task(191                    task_method=self._run_test_task,192                    environment=environment,193                    test_results=selected_test_results,194                    case_variables=self._case_variables,195                )196        return None197    def _delete_unused_environments(self) -> Optional[Task[None]]:198        available_environments = self._sort_environments(self.environments)199        # check deletable environments200        for environment in available_environments:201            # if an environment is in using, or not deployed, they won't be202            # deleted until end of runner.203            if environment.is_in_use or environment.status in [204                EnvironmentStatus.New,205                EnvironmentStatus.Prepared,206            ]:207                continue208            can_run_results = self._get_runnable_test_results(209                self.test_results, environment=environment210            )211            if not can_run_results:212                # no more test need this environment, delete it.213                self._log.debug(214                    f"generating delete environment task on '{environment.name}'"215                )216                return self._generate_task(217                    task_method=self._delete_environment_task,218                    environment=environment,219                    test_results=[],220                )221        return None222    def _prepare_environments(self) -> None:223        if all(x.status != EnvironmentStatus.New for x in self.environments):224            return225        proceeded_environments: List[Environment] = []226        for candidate_environment in self.environments:227            success = True228            if candidate_environment.status == EnvironmentStatus.New:229                success = self._prepare_environment(candidate_environment)230            if success:231                proceeded_environments.append(candidate_environment)232        # sort by environment source and cost cases233        # user defined should be higher priority than test cases' requirement234        proceeded_environments.sort(key=lambda x: (not x.is_predefined, x.cost))235        self.environments = proceeded_environments236    def _deploy_environment_task(237        self, environment: Environment, test_results: List[TestResult]238    ) -> None:239        try:240            try:241                self.platform.deploy_environment(environment)242                assert (243                    environment.status == EnvironmentStatus.Deployed244                ), f"actual: {environment.status}"245                self._reset_awaitable_timer("deploy")246            except ResourceAwaitableException as identifier:247                if self._is_awaitable_timeout("deploy"):248                    self._log.info(249                        f"[{environment.name}] timeout on waiting for more resource: "250                        f"{identifier}, skip assigning case."251                    )252                    raise SkippedException(identifier)253                else:254                    # rerun prepare to calculate resource again.255                    environment.status = EnvironmentStatus.New256        except Exception as identifier:257            self._attach_failed_environment_to_result(258                environment=environment,259                result=test_results[0],260                exception=identifier,261            )262            self._delete_environment_task(environment=environment, test_results=[])263    def _initialize_environment_task(264        self, environment: Environment, test_results: List[TestResult]265    ) -> None:266        self._log.debug(f"start initializing task on '{environment.name}'")267        assert test_results268        try:269            environment.initialize()270            assert (271                environment.status == EnvironmentStatus.Connected272            ), f"actual: {environment.status}"273        except Exception as identifier:274            self._attach_failed_environment_to_result(275                environment=environment,276                result=test_results[0],277                exception=identifier,278            )279            self._delete_environment_task(environment=environment, test_results=[])280    def _run_test_task(281        self,282        environment: Environment,283        test_results: List[TestResult],284        case_variables: Dict[str, VariableEntry],285    ) -> None:286        self._log.debug(287            f"start running cases on '{environment.name}', "288            f"case count: {len(test_results)}, "289            f"status {environment.status.name}"290        )291        assert test_results292        assert len(test_results) == 1, (293            f"single test result to run, " f"but {len(test_results)} found."294        )295        test_result = test_results[0]296        suite_metadata = test_result.runtime_data.metadata.suite297        test_suite: TestSuite = suite_metadata.test_class(298            suite_metadata,299        )300        test_suite.start(301            environment=environment,302            case_results=test_results,303            case_variables=case_variables,304        )305        # release environment reference to optimize memory.306        test_result.environment = None307        # Some test cases may break the ssh connections. To reduce side effects308        # on next test cases, close the connection after each test run. It will309        # be connected on the next command automatically.310        environment.nodes.close()311        # Try to connect node(s), if cannot access node(s) of this environment,312        # set the current environment as Bad. So that this environment won't be reused.313        if not is_unittest() and not environment.nodes.test_connections():314            environment.status = EnvironmentStatus.Bad315            self._log.debug(316                f"set environment '{environment.name}' as bad, "317                f"because after test case '{test_result.name}', "318                f"node(s) cannot be accessible."319            )320        environment.nodes.close()321        # keep failed environment, not to delete322        if (323            test_result.status == TestStatus.FAILED324            and self.platform.runbook.keep_environment325            == constants.ENVIRONMENT_KEEP_FAILED326        ):327            self._log.debug(328                f"keep environment '{environment.name}', "329                f"because keep_environment is 'failed', "330                f"and test case '{test_result.name}' failed on it."331            )332            environment.status = EnvironmentStatus.Deleted333        # if an environment is in bad status, it will be deleted, not run more334        # test cases. But if the setting is to keep failed environment, it may335        # be kept in above logic.336        if environment.status == EnvironmentStatus.Bad or environment.is_dirty:337            self._log.debug(338                f"delete environment '{environment.name}', "339                f"because it's in Bad status or marked as dirty."340            )341            self._delete_environment_task(342                environment=environment, test_results=test_results343            )344    def _delete_environment_task(345        self, environment: Environment, test_results: List[TestResult]346    ) -> None:347        """348        May be called async349        """350        # the predefined environment shouldn't be deleted, because it351        # serves all test cases.352        if environment.status == EnvironmentStatus.Deleted or (353            environment.status == EnvironmentStatus.Prepared354            and not environment.is_in_use355        ):356            # The prepared only environment doesn't need to be deleted.357            # It may cause platform fail to delete non-existing environment.358            environment.status = EnvironmentStatus.Deleted359        else:360            try:361                self.platform.delete_environment(environment)362            except Exception as identifier:363                self._log.debug(364                    f"error on deleting environment '{environment.name}': {identifier}"365                )366    def _prepare_environment(self, environment: Environment) -> bool:367        success = True368        try:369            try:370                self.platform.prepare_environment(environment)371                self._reset_awaitable_timer("prepare")372            except ResourceAwaitableException as identifier:373                # if timed out, raise the exception and skip the test case. If374                # not, do nothing to keep env as new to try next time.375                if self._is_awaitable_timeout("prepare"):376                    raise SkippedException(identifier)377        except Exception as identifier:378            success = False379            matched_result = self._match_failed_environment_with_result(380                environment=environment,381                candidate_results=self.test_results,382                exception=identifier,383            )384            self._attach_failed_environment_to_result(385                environment=environment,386                result=matched_result,387                exception=identifier,388            )389        return success390    def _cleanup_deleted_environments(self) -> None:391        # remove reference to unused environments. It can save memory on big runs.392        new_environments: List[Environment] = []393        for environment in self.environments[:]:394            if environment.status != EnvironmentStatus.Deleted:395                new_environments.append(environment)396        self.environments = new_environments397    def _cleanup_done_results(self) -> None:398        # remove reference to completed test results. It can save memory on big runs.399        remaining_results: List[TestResult] = []400        for test_result in self.test_results[:]:401            if not test_result.is_completed:402                remaining_results.append(test_result)403        self.test_results = remaining_results404    def _get_results_by_priority(405        self, test_results: List[TestResult], priority: int406    ) -> List[TestResult]:407        if not test_results:408            return []409        test_results = [410            x for x in test_results if x.runtime_data.metadata.priority == priority411        ]...
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