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How to use pick_runner_command method in avocado

Best Python code snippet using avocado_python

runnable.py

Source:runnable.py

...135        describes essential configuration values for each runner kind.136        :param config: A config dict with new values for Runnable.137        :type config: dict138        """139        command = self.pick_runner_command(self.kind)140        if command is not None:141            command = " ".join(command)142            configuration_used = STANDALONE_EXECUTABLE_CONFIG_USED.get(command)143            if not set(configuration_used).issubset(set(config.keys())):144                LOG.warning(145                    "The runnable config should have only values "146                    "essential for its runner. In the next version of "147                    "avocado, this will raise a Value Error. Please "148                    "use avocado.core.nrunner.runnable.Runnable.filter_runnable_config "149                    "or avocado.core.nrunner.runnable.Runnable.from_avocado_config"150                )151        self._config = config152    @classmethod153    def from_args(cls, args):154        """Returns a runnable from arguments"""155        decoded_args = [_arg_decode_base64(arg) for arg in args.get("arg", ())]156        return cls.from_avocado_config(157            args.get("kind"),158            args.get("uri"),159            *decoded_args,160            config=json.loads(args.get("config", "{}"), cls=ConfigDecoder),161            **_key_val_args_to_kwargs(args.get("kwargs", [])),162        )163    @classmethod164    def from_recipe(cls, recipe_path):165        """166        Returns a runnable from a runnable recipe file167        :param recipe_path: Path to a recipe file168        :rtype: instance of :class:`Runnable`169        """170        with open(recipe_path, encoding="utf-8") as recipe_file:171            recipe = json.load(recipe_file)172        config = ConfigDecoder.decode_set(recipe.get("config", {}))173        return cls.from_avocado_config(174            recipe.get("kind"),175            recipe.get("uri"),176            *recipe.get("args", ()),177            config=config,178            **recipe.get("kwargs", {}),179        )180    @classmethod181    def from_avocado_config(cls, kind, uri, *args, config=None, **kwargs):182        """Creates runnable with only essential config for runner of specific kind."""183        if not config:184            config = {}185        config = cls.filter_runnable_config(kind, config)186        return cls(kind, uri, *args, config=config, **kwargs)187    @staticmethod188    def filter_runnable_config(kind, config):189        """190        Returns only essential values for specific runner.191        It will use configuration from argument completed by values from192        config file and avocado default configuration.193        :param kind: Kind of runner which should use the configuration.194        :type kind: str195        :param config: Configuration values for runner. If some values will be196                       missing the default ones and from config file will be197                       used.198        :type config: dict199        :returns: Config dict, which has only values essential for runner200                  based on STANDALONE_EXECUTABLE_CONFIG_USED201        :rtype: dict202        """203        command = Runnable.pick_runner_command(kind)204        if command is not None:205            whole_config = settings.as_dict()206            whole_config.update(config)207            command = " ".join(command)208            configuration_used = STANDALONE_EXECUTABLE_CONFIG_USED.get(command)209            filtered_config = {}210            for config_item in configuration_used:211                filtered_config[config_item] = whole_config.get(config_item)212            return filtered_config213        else:214            raise ValueError(f"Unsupported kind of runnable: {kind}")215    def get_command_args(self):216        """217        Returns the command arguments that adhere to the runner interface218        This is useful for building 'runnable-run' and 'task-run' commands219        that can be executed on a command line interface.220        :returns: the arguments that can be used on an avocado-runner command221        :rtype: list222        """223        args = ["-k", self.kind]224        if self.uri is not None:225            args.append("-u")226            args.append(self.uri)227        if self.config:228            args.append("-c")229            args.append(json.dumps(self.config, cls=ConfigEncoder))230        for arg in self.args:231            args.append("-a")232            if arg.startswith("-"):233                arg = f"base64:{base64.b64encode(arg.encode()).decode('ascii')}"234            args.append(arg)235        if self.tags is not None:236            args.append(f"tags=json:{json.dumps(self.get_serializable_tags())}")237        if self.variant is not None:238            args.append(f"variant=json:{json.dumps(self.variant)}")239        if self.output_dir is not None:240            args.append(f"output_dir={self.output_dir}")241        for key, val in self.kwargs.items():242            if not isinstance(val, str) or isinstance(val, int):243                val = f"json:{json.dumps(val)}"244            args.append(f"{key}={val}")245        return args246    def get_dict(self):247        """248        Returns a dictionary representation for the current runnable249        This is usually the format that will be converted to a format250        that can be serialized to disk, such as JSON.251        :rtype: :class:`collections.OrderedDict`252        """253        recipe = collections.OrderedDict(kind=self.kind)254        if self.uri is not None:255            recipe["uri"] = self.uri256        recipe["config"] = self.config257        if self.args is not None:258            recipe["args"] = self.args259        kwargs = self.kwargs.copy()260        if self.tags is not None:261            kwargs["tags"] = self.get_serializable_tags()262        if self.variant is not None:263            kwargs["variant"] = self.variant264        if self.output_dir is not None:265            kwargs["output_dir"] = self.output_dir266        if kwargs:267            recipe["kwargs"] = kwargs268        return recipe269    def get_json(self):270        """271        Returns a JSON representation272        :rtype: str273        """274        return json.dumps(self.get_dict(), cls=ConfigEncoder)275    def get_serializable_tags(self):276        if self.tags is None:277            return {}278        tags = {}279        # sets are not serializable in json280        for key, val in self.tags.items():281            if isinstance(val, set):282                val = list(val)283            tags[key] = val284        return tags285    def write_json(self, recipe_path):286        """287        Writes a file with a JSON representation (also known as a recipe)288        """289        with open(recipe_path, "w", encoding="utf-8") as recipe_file:290            recipe_file.write(self.get_json())291    @staticmethod292    def get_capabilities_from_runner_command(runner_command, env=None):293        """Returns the capabilities of a given runner from a command.294        In case of failures, an empty capabilities dictionary is returned.295        When the capabilities are obtained, it also updates the296        :data:`STANDALONE_EXECUTABLE_CONFIG_USED` info.297        """298        cmd = runner_command + ["capabilities"]299        try:300            process = subprocess.Popen(301                cmd,302                stdin=subprocess.DEVNULL,303                stdout=subprocess.PIPE,304                stderr=subprocess.DEVNULL,305                env=env,306            )307        except (FileNotFoundError, PermissionError):308            return {}309        out, _ = process.communicate()310        try:311            capabilities = json.loads(out.decode())312        except json.decoder.JSONDecodeError:313            capabilities = {}314        # lists are not hashable, and here it'd make more sense to have315        # a command as it'd be seen in a command line anyway316        cmd = " ".join(runner_command)317        if cmd not in STANDALONE_EXECUTABLE_CONFIG_USED:318            STANDALONE_EXECUTABLE_CONFIG_USED[cmd] = capabilities.get(319                "configuration_used", []320            )321        return capabilities322    @staticmethod323    def is_kind_supported_by_runner_command(324        kind, runner_cmd, capabilities=None, env=None325    ):326        """Checks if a runner command that seems a good fit declares support."""327        if capabilities is None:328            capabilities = Runnable.get_capabilities_from_runner_command(329                runner_cmd, env330            )331        return kind in capabilities.get("runnables", [])332    @staticmethod333    def _module_exists(module_name):334        """Returns whether a nrunner "runner" module exists."""335        module_filename = f"{module_name}.py"336        mod_path = os.path.join("plugins", "runners", module_filename)337        return pkg_resources.resource_exists("avocado", mod_path)338    @staticmethod339    def pick_runner_command(kind, runners_registry=None):340        """Selects a runner command based on the runner kind.341        And when finding a suitable runner, keeps found runners in registry.342        This utility function will look at the given kind and try to find343        a matching runner.  The matching runner probe results are kept in344        a registry (that is modified by this function) so that further345        executions take advantage of previous probes.346        This is related to the :data:`SpawnMethod.STANDALONE_EXECUTABLE`347        :param kind: runners' kind348        :type kind: str349        :param runners_registry: a registry with previously found (and not350                                 found) runners keyed by runnable kind351        :type runners_registry: dict352        :returns: command line arguments to execute the runner353        :rtype: list of str or None354        """355        if runners_registry is None:356            runners_registry = RUNNERS_REGISTRY_STANDALONE_EXECUTABLE357        runner_cmd = runners_registry.get(kind)358        if runner_cmd is False:359            return None360        if runner_cmd is not None:361            return runner_cmd362        # When running Avocado Python modules, the interpreter on the new363        # process needs to know where Avocado can be found.364        env = os.environ.copy()365        env["PYTHONPATH"] = ":".join(p for p in sys.path)366        standalone_executable_cmd = [f"avocado-runner-{kind}"]367        if Runnable.is_kind_supported_by_runner_command(368            kind, standalone_executable_cmd369        ):370            runners_registry[kind] = standalone_executable_cmd371            return standalone_executable_cmd372        # attempt to find Python module files that are named after the373        # runner convention within the avocado.plugins.runners namespace dir.374        # Looking for the file only avoids an attempt to load the module375        # and should be a lot faster376        module_name = kind.replace("-", "_")377        if Runnable._module_exists(module_name):378            full_module_name = f"avocado.plugins.runners.{module_name}"379            candidate_cmd = [sys.executable, "-m", full_module_name]380            if Runnable.is_kind_supported_by_runner_command(381                kind, candidate_cmd, env=env382            ):383                runners_registry[kind] = candidate_cmd384                return candidate_cmd385        # look for the runner commands implemented in the base nrunner module386        candidate_cmd = [sys.executable, "-m", "avocado.core.nrunner"]387        if Runnable.is_kind_supported_by_runner_command(kind, candidate_cmd, env=env):388            runners_registry[kind] = candidate_cmd389            return candidate_cmd390        # exhausted probes, let's save the negative on the cache and avoid391        # future similar problems392        runners_registry[kind] = False393    def runner_command(self, runners_registry=None):394        """Selects a runner command based on the runner.395        And when finding a suitable runner, keeps found runners in registry.396        This utility function will look at the given task and try to find397        a matching runner.  The matching runner probe results are kept in398        a registry (that is modified by this function) so that further399        executions take advantage of previous probes.400        This is related to the :data:`SpawnMethod.STANDALONE_EXECUTABLE`401        :param runners_registry: a registry with previously found (and not402                                 found) runners keyed by runnable kind403        :type runners_registry: dict404        :returns: command line arguments to execute the runner405        :rtype: list of str or None406        """407        return Runnable.pick_runner_command(self.kind, runners_registry)408    def pick_runner_class_from_entry_point(self):409        """Selects a runner class from entry points based on kind.410        This is related to the :data:`SpawnMethod.PYTHON_CLASS`.411        :returns: a class that inherits from :class:`BaseRunner` or None412        """413        namespace = "avocado.plugins.runnable.runner"414        for ep in pkg_resources.iter_entry_points(namespace, self.kind):415            try:416                obj = ep.load()417                return obj418            except ImportError:419                return420    def pick_runner_class(self):421        """Selects a runner class from the registry based on kind....

runner.py

Source:runner.py

...24        runners_registry = RUNNERS_REGISTRY_STANDALONE_EXECUTABLE25    ok = []26    missing = []27    for runnable in runnables:28        runner = runnable.pick_runner_command(runnable.kind, runners_registry)29        if runner:30            ok.append(runnable)31        else:32            missing.append(runnable)33    return (ok, missing)34class BaseRunner(RunnableRunner):35    #: The "main Avocado" configuration keys (AKA namespaces) that36    #: this runners makes use of.37    CONFIGURATION_USED = []38    @staticmethod39    def prepare_status(status_type, additional_info=None):40        """Prepare a status dict with some basic information.41        This will add the keyword 'status' and 'time' to all status.42        :param: status_type: The type of event ('started', 'running',...

process.py

Source:process.py

...12            return False13        return runtime_task.spawner_handle.returncode is None14    async def spawn_task(self, runtime_task):15        task = runtime_task.task16        runner = task.runnable.pick_runner_command()17        args = runner[1:] + ['task-run'] + task.get_command_args()18        runner = runner[0]19        # pylint: disable=E113320        try:21            runtime_task.spawner_handle = await asyncio.create_subprocess_exec(22                runner,23                *args,24                stdout=asyncio.subprocess.PIPE,25                stderr=asyncio.subprocess.PIPE)26        except (FileNotFoundError, PermissionError):27            return False28        asyncio.ensure_future(self._collect_task(runtime_task.spawner_handle))29        return True30    @staticmethod...

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