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How to use _get_model_attrs method in pandera

Best Python code snippet using pandera_python

model_interfaces.py

Source:model_interfaces.py

...90        self._file_name = val91    @abstractmethod92    def loadmodel(self, path):93        pass94    def _get_model_attrs(self):95        model_attrs = []96        for attr in dir(self):97            if attr.startswith(self._MODEL_ATTR_PREFIX):98                model_attrs.append(attr)99        return model_attrs100    @abstractmethod101    def predict(self, input_):102        pass103def load_models(self, path, neural=True, model_attrs=None):104    dir_path = self.unzip_model(path)105    if model_attrs is None:106        model_attrs = self._get_model_attrs()107    if len(os.listdir(dir_path)) < len(model_attrs):108        raise Exception(f'Ð§Ð¸ÑÐ»Ð¾ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ < {len(model_attrs)}.')109    for model_attr in model_attrs:110        model_filename = model_attr[1:]111        if not neural:112            model_filename += '.pkl'113        full_path = os.path.join(dir_path, model_filename)114        print(full_path)115        if not os.path.exists(full_path):116            shutil.rmtree(dir_path)117            raise Exception(f'ÐÐ¾Ð´ÐµÐ»Ñ {model_filename} Ð¾ÑÑÑÑÑÑÐ²ÑÐµÑ Ð² ÑÐ°Ð¹Ð»Ðµ {self.filename}.')118        try:119            if neural:120                model_val = load_model(full_path)121            else:122                with open(full_path, 'rb') as file:123                    model_val = pickle.load(file)124            setattr(self, model_attr, model_val)125            print(getattr(self, model_attr))126        except Exception:127            print(traceback.format_exc())128            shutil.rmtree(dir_path)129            raise Exception(f'ÐÐµ ÑÐ´Ð°ÑÑÑÑ ÑÐ¾Ð·Ð´Ð°ÑÑ Ð¼Ð¾Ð´ÐµÐ»Ñ {model_filename}.')130    shutil.rmtree(dir_path)131def load_VA_and_FACS_model(self, path):132    dir_path = self.unzip_model(path)133    model_attrs = self._get_model_attrs()134    try:135        for model_attr in model_attrs:136            model_filename = model_attr[1:] + '.tar.gz'137            full_path = os.path.join(dir_path, model_filename)138            print(full_path)139            model_type_file = tools.get_model_type(model_filename, full_path)140            print(model_type_file)141            model_attr_val = getattr(sys.modules[__name__],142                                     type_model_interface_dict[model_type_file])(model_filename, full_path)143            setattr(self, model_attr, model_attr_val)144            print(model_attr, model_attr_val)145    except Exception:146        print(traceback.format_exc())147        shutil.rmtree(dir_path)148        raise149    shutil.rmtree(dir_path)150class ModelVAClearNeural(AbstractModel):151    @classmethod152    @property153    def type_(cls):154        return '2->7 (Neural)'155    def loadmodel(self, path):156        load_models(self, path)157    def predict(self, df_VA):158        seven_vals = self._model.predict(df_VA.values)159        df_seven = pd.DataFrame(seven_vals, columns=tools.seven_fields)160        df_seven = tools.change_df_accuracy(df_seven)161        return df_seven162class ModelVAClearStat(AbstractModel):163    _model_neutral = None164    _model_happy = None165    _model_sad = None166    _model_angry = None167    _model_surprised = None168    _model_scared = None169    _model_disgusted = None170    _MODEL_ATTR_PREFIX = '_model_'171    @classmethod172    @property173    def type_(cls):174        return '2->7 (Stat)'175    def loadmodel(self, path):176        load_models(self, path, neural=False)177    def predict(self, df_VA):178        model_attrs = self._get_model_attrs()179        seven_dict = {}180        for model_attr in model_attrs:181            field = model_attr[len(self._MODEL_ATTR_PREFIX):].capitalize()182            seven_dict[field] = getattr(self, model_attr).predict(df_VA.values)183        seven_vals = [[seven_dict[field][0][i] for i, field in enumerate(tools.seven_fields)]] # N Ð±ÐµÐ· [0][i] Ð´Ð»Ñ correct184        #seven_dict = {field: seven_dict[field][0][i] for i, field in enumerate(tools.seven_fields)} # Ð¿Ð¾ ÑÑÑÐ¸, Ð½Ðµ Ð½ÑÐ¶Ð½Ð¾ ÑÐ¶Ðµ185        df_seven = pd.DataFrame(seven_vals, columns=tools.seven_fields)186        df_seven = tools.change_df_accuracy(df_seven)187        return df_seven188class ModelClearVANeural(AbstractModel):189    @classmethod190    @property191    def type_(cls):192        return '7->2 (Neural)'...

base_model.py

Source:base_model.py

...21    def _is_pymodelio_model(cls) -> bool:22        return True23    @overrides_child_always24    def _set_attributes(self, kwargs: dict) -> None:25        for attr_name, model_attr in self._get_model_attrs().items():26            if not model_attr.initable:27                if attr_name in kwargs:28                    raise NameError(f'{attr_name} attribute is not initable for class {self.__class__.__name__}')29                continue30            exposed_attr_name = self._get_exposed_attr_name(attr_name)31            attr_value = kwargs.get(exposed_attr_name, model_attr.default_factory())32            if attr_value == UNDEFINED:33                attr_value = model_attr.default_factory()34            setattr(self, attr_name, attr_value)35    @classmethod36    @overrides_child_if_not_implemented37    def __before_init__(cls, *args, **kwargs) -> None:38        pass39    @classmethod40    @overrides_child_if_not_implemented41    def __before_validate__(cls) -> None:42        pass43    @classmethod44    @overrides_child_if_not_implemented45    def __once_validated__(cls) -> None:46        pass47    @overrides_child_always48    def _get_annotations(self) -> dict:49        annotations = self.__annotations__ if hasattr(self, '__annotations__') else {}50        for parent in self.__class__.__bases__:51            if hasattr(parent, '__annotations__'):52                annotations = {**annotations, **parent.__annotations__}53        return annotations54    @overrides_child_always55    def _get_model_attrs(self) -> dict:56        validated_attrs = {}57        annotations = self._get_annotations()58        for k, v in annotations.items():59            if isinstance(v, Attribute):60                validated_attrs[k] = v61            # If Validated is a type and not an instance, it instantiates it using default values default62            elif v.__origin__ == Attribute:63                validated_attrs[k] = v()64        return validated_attrs65    @overrides_child_always66    def _generate_private_attr_prefix(self, cls: type) -> str:67        return f'_{cls.__name__}__'68    @overrides_child_always69    def _get_parent_private_attr_prefixes(self) -> List[str]:70        # Iterate all the parents71        prefixes = []72        for cls in self.__class__.__bases__:73            prefixes.append(self._generate_private_attr_prefix(cls))74        return prefixes75    @overrides_child_always76    def _get_exposed_attr_name(self, attr_name: str) -> str:77        # Private attributes78        private_attr_prefixes = [self._generate_private_attr_prefix(79            self.__class__)] + self._get_parent_private_attr_prefixes()80        for private_attr_prefix in private_attr_prefixes:81            if attr_name.startswith(private_attr_prefix):82                exposed_attr_name = attr_name[len(private_attr_prefix):]83                if exposed_attr_name.endswith('__'):84                    exposed_attr_name = exposed_attr_name[:2]85                return exposed_attr_name86        # Protected attributes87        if attr_name.startswith('_'):88            exposed_attr_name = attr_name[1:]89            if exposed_attr_name.endswith('_'):90                exposed_attr_name = exposed_attr_name[:1]91            return exposed_attr_name92        # Public attributes93        return attr_name94    @overrides_child_always95    def validate(self, path: str = None) -> None:96        """97        It must raise ModelValidationException in case of an invalid attribute98        """99        for attr_name, pymodel_attribute in self._get_model_attrs().items():100            attr_value = getattr(self, attr_name)101            exposed_attr_name = self._get_exposed_attr_name(attr_name)102            parent_path = path or self.__class__.__name__103            attr_path = f'{parent_path}.{exposed_attr_name}'104            self._when_validating_attr(attr_name, exposed_attr_name, attr_value, attr_path, parent_path,105                                       pymodel_attribute)106            pymodel_attribute.validate(attr_value, path=attr_path)107    @overrides_child_if_not_implemented108    def _when_validating_attr(self, internal_attr_name: str, exposed_attr_name: str, attr_value: Any, attr_path: str,109                              parent_path: str, pymodel_attribute: Attribute) -> None:110        pass111    @overrides_child_if_not_implemented112    @classmethod113    def from_dict(cls, data: dict, auto_validate: bool = True) -> Any:114        instance = cls(from_dict=True)115        attrs = {}116        for attr_name, model_attr in instance._get_model_attrs().items():117            exposed_attr_name = instance._get_exposed_attr_name(attr_name)118            if model_attr.initable:119                attrs[exposed_attr_name] = cls._map_attribute(data, exposed_attr_name, model_attr)120        return cls(**attrs, auto_validate=auto_validate)121    @overrides_child_always122    @classmethod123    def _map_attribute(cls, data: dict, exposed_attr_name: str, model_attr: Attribute) -> Any:124        attr_value = data.get(exposed_attr_name, model_attr.default_factory())125        if attr_value == UNDEFINED:126            return model_attr.default_factory()127        if isinstance(attr_value, dict) and (128                hasattr(model_attr.attr_type, '_is_pymodelio_model') and model_attr.attr_type._is_pymodelio_model()129        ):130            return model_attr.attr_type.from_dict(attr_value, auto_validate=False)...

model_serializer.py

Source:model_serializer.py

...9        return value10    @classmethod11    def _serialize_model(cls, model: Any) -> dict:12        serialized = {}13        for attr_name in cls._get_model_attrs(model):14            attr_value = getattr(model, attr_name)15            # If it is a function, we ignore it16            if callable(attr_value):17                continue18            serialized[attr_name] = cls.serialize(attr_value)19        return serialized20    @classmethod21    def _get_model_attrs(cls, model: Any) -> dict:22        return [attr_name for attr_name in dir(model) if not attr_name.startswith('_')]23    @classmethod24    def _is_model(cls, attr_value: Any) -> bool:...

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