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How to use legacy_from_config method in localstack

Best Python code snippet using localstack_python

models.py

Source:models.py

...1041        return copy.deepcopy(config)1042    @classmethod1043    def from_config(cls, config, custom_objects=None):1044        if 'class_name' not in config[0] or config[0]['class_name'] == 'Merge':1045            return cls.legacy_from_config(config)1046        model = cls()1047        for conf in config:1048            layer = layer_module.deserialize(conf, custom_objects=custom_objects)1049            model.add(layer)1050        return model1051    def legacy_get_config(self):1052        """Retrieves the model configuration as a Python list.1053        # Returns1054            A list of dicts (each dict is a layer config).1055        """1056        config = []1057        if isinstance(self.layers[0], legacy_layers.Merge):1058            assert hasattr(self.layers[0], 'layers')1059            layers = []1060            for layer in self.layers[0].layers:1061                layer_config = {'class_name': layer.__class__.__name__,1062                                'config': layer.get_config()}1063                layers.append(layer_config)1064            merge_config = self.layers[0].get_config()1065            merge_config['layers'] = layers1066            config.append({'class_name': 'Merge', 'config': merge_config})1067        else:1068            config.append({'class_name': self.layers[0].__class__.__name__,1069                           'config': self.layers[0].get_config()})1070        for layer in self.layers[1:]:1071            config.append({'class_name': layer.__class__.__name__,1072                           'config': layer.get_config()})1073        return copy.deepcopy(config)1074    @classmethod1075    def legacy_from_config(cls, config, layer_cache=None):1076        """Load a model from a legacy configuration.1077        # Arguments1078            config: dictionary with configuration.1079            layer_cache: cache to draw pre-existing layer.1080        # Returns1081            The loaded Model.1082        """1083        if not layer_cache:1084            layer_cache = {}1085        def normalize_legacy_config(conf):1086            if 'class_name' not in conf:1087                class_name = conf['name']1088                name = conf.get('custom_name')1089                conf['name'] = name...

test_cli.py

Source:test_cli.py

...89        monkeypatch.setenv("DATA_DIR", str(data_dir))90        monkeypatch.setattr(config, "DATA_DIR", str(data_dir))91        monkeypatch.setattr(config, "TMP_FOLDER", str(tmp_folder))92        # reload directories from manipulated config93        monkeypatch.setattr(config, "dirs", config.Directories.legacy_from_config())94        runner.invoke(cli, ["start", "-d"])95        runner.invoke(cli, ["wait", "-t", "60"])96        # check that mounts were created correctly97        inspect = container_client.inspect_container(config.MAIN_CONTAINER_NAME)98        container_dirs = config.Directories.for_container()99        binds = inspect["HostConfig"]["Binds"]100        assert f"{tmp_folder}:{container_dirs.tmp}" in binds101        assert f"{data_dir}:{container_dirs.data}" in binds102        assert f"{DOCKER_SOCK}:{DOCKER_SOCK}" in binds103    @pytest.mark.skipif(104        condition=config.LEGACY_DIRECTORIES, reason="this test targets LEGACY_DIRECTORIES=0"105    )106    def test_volume_dir_mounted_correctly(self, runner, tmp_path, monkeypatch, container_client):107        volume_dir = tmp_path / "volume"...

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