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How to use _types_match method in autotest

Best Python code snippet using autotest_python

mock.py

Source:mock.py

...24class equality_comparator(argument_comparator):25    def __init__(self, value):26        self.value = value27    @staticmethod28    def _types_match(arg1, arg2):29        if isinstance(arg1, basestring) and isinstance(arg2, basestring):30            return True31        return type(arg1) == type(arg2)32    @classmethod33    def _compare(cls, actual_arg, expected_arg):34        if isinstance(expected_arg, argument_comparator):35            return expected_arg.is_satisfied_by(actual_arg)36        if not cls._types_match(expected_arg, actual_arg):37            return False38        if isinstance(expected_arg, list) or isinstance(expected_arg, tuple):39            # recurse on lists/tuples40            if len(actual_arg) != len(expected_arg):41                return False42            for actual_item, expected_item in zip(actual_arg, expected_arg):43                if not cls._compare(actual_item, expected_item):44                    return False45        elif isinstance(expected_arg, dict):46            # recurse on dicts47            if not cls._compare(sorted(actual_arg.keys()),48                                sorted(expected_arg.keys())):49                return False50            for key, value in actual_arg.iteritems():...

validator.py

Source:validator.py

2from StructNoSQL.models import DatabasePathElement3from StructNoSQL.fields import BaseItem, BaseField, MapModel, DictModel4from StructNoSQL.practical_logger import message_with_vars5from StructNoSQL.utils.misc_fields_items import try_to_get_primitive_default_type_of_item6def _types_match(type_to_check: type, expected_type: type) -> bool:7    processed_expected_type: type = try_to_get_primitive_default_type_of_item(expected_type)8    # The type_to_check will always be a primitive Python type, where as the expected_type can also be a StructNoSQL9    # model type. In which case, we try_to_get_primitive_default_type_of_item. If the type was not a StructNoSQL10    # model type and did not had a primitive_default_type, the returned type will be the source type we passed.11    if processed_expected_type is Any:12        return True13    elif type_to_check != processed_expected_type:14        return False15    return True16def validate_data(17        value: Any, expected_value_type: Any,18        item_type_to_return_to: Optional[BaseItem] = None19) -> Tuple[Any, bool]:20    value_type = type(value)21    # We do not try_to_get_primitive_default_type_of_item here, because depending on the value_type, we might trigger different behaviors.22    # For example, a list or tuple will be considered as collection of multiple fields types that needs to be looked at individually.23    if expected_value_type == Any:24        return value, True25    if type(expected_value_type) in [list, tuple]:26        has_found_match = False27        for acceptable_value_type in expected_value_type:28            if _types_match(type_to_check=value_type, expected_type=acceptable_value_type):29                has_found_match = True30                break31        if has_found_match is not True:32            vars_dict = {'value': value, 'valueType': value_type, 'expectedValueType': expected_value_type}33            if item_type_to_return_to is not None:34                vars_dict['itemExpectedTypeDatabasePath'] = item_type_to_return_to.database_path35            print(message_with_vars(36                message=f"Primitive value did not match any of the possible "37                        f"expected types. Value of None is being returned.",38                vars_dict=vars_dict39            ))40            return None, False41    else:42        if not _types_match(type_to_check=value_type, expected_type=expected_value_type):43            vars_dict = {'value': value, 'valueType': value_type, 'expectedValueType': expected_value_type}44            if item_type_to_return_to is not None:45                vars_dict['itemExpectedTypeDatabasePath'] = item_type_to_return_to.database_path46            print(message_with_vars(47                message=f"Primitive value did not match expected "48                        f"type. Value of None is being returned.",49                vars_dict=vars_dict50            ))51            return None, False52    if value_type == dict:53        value: dict54        # todo: fix a bug, where for some reasons, when calling the get_field function, if what55        #  we get is a dict that has only key and one item, instead of returning the dict, we will return the value in the dict56        item_keys_to_pop: List[str] = []57        if item_type_to_return_to is not None:58            if (59                item_type_to_return_to.map_model is not None and60                not isinstance(item_type_to_return_to.map_model, DictModel)61            ):62                populated_required_fields: List[BaseField] = []63                item_keys_to_pop: List[str] = []64                for key, item in value.items():65                    item_matching_validation_model_variable: Optional[BaseField] = getattr(item_type_to_return_to.map_model, key, None)66                    if item_matching_validation_model_variable is not None:67                        item, valid = validate_data(68                            value=item, item_type_to_return_to=item_matching_validation_model_variable,69                            expected_value_type=item_matching_validation_model_variable.field_type70                        )71                        if valid is True:72                            value[key] = item73                            if item_matching_validation_model_variable.required is True:74                                populated_required_fields.append(item_matching_validation_model_variable)75                        else:76                            item_keys_to_pop.append(key)77                    else:78                        item_keys_to_pop.append(key)79                        print(message_with_vars(80                            message=f"No map validator was found in a nested item of a dict. Item will be removed from data.",81                            vars_dict={"key": key, "item": item}82                        ))83                map_model_required_fields: Optional[List[BaseField]] = getattr(item_type_to_return_to.map_model, 'required_fields', None)84                if map_model_required_fields is None:85                    raise Exception("Missing required_fields")86                if len(map_model_required_fields) != len(populated_required_fields):87                    missing_required_fields_database_paths: List[List[DatabasePathElement]] = []88                    for current_required_field in map_model_required_fields:89                        if current_required_field not in populated_required_fields:90                            missing_required_fields_database_paths.append(current_required_field.database_path)91                    print(message_with_vars(92                        message="Missing required fields on map element. Returning None and valid to False.",93                        vars_dict={"missingRequiredFieldsDatabasePaths": missing_required_fields_database_paths}94                    ))95                    return None, False96            else:97                for key, item in value.items():98                    if item_type_to_return_to.key_expected_type is not None:99                        key_type = type(key)100                        if not _types_match(type_to_check=key_type, expected_type=item_type_to_return_to.key_expected_type):101                            print(message_with_vars(102                                message=f"Key of an item in a dict did not match expected key type. Item will be removed from data.",103                                vars_dict={"key": key, "item": item, "keyType": key_type, "expectedKeyType": item_type_to_return_to.key_expected_type}104                            ))105                            item_keys_to_pop.append(key)106                            continue107                    if item_type_to_return_to.items_excepted_type is not None:108                        if hasattr(item_type_to_return_to.items_excepted_type, '__bases__') and MapModel in item_type_to_return_to.items_excepted_type.__bases__:109                            # We check if the items_excepted_type contains the __bases__ attributes, because form values (like the Any value that is assigned both when110                            # using an untyped dict or when using Any in a typed Dict) will not contain the __bases__ attribute and will raise if trying to access it.111                            element_item_keys_to_pop: List[str] = []112                            item_type = type(item)113                            if not _types_match(type_to_check=item_type, expected_type=dict):114                                print(message_with_vars(115                                    message=f"Received data that should be set inside a nested MapModel "116                                            f"was not of type dict. Item will be removed from data.",117                                    vars_dict={"key": key, "item": item, "itemType": item_type}118                                ))119                                item_keys_to_pop.append(key)120                                continue121                            item: dict122                            item_matching_validation_model_variable: Optional[BaseField] = getattr(item_type_to_return_to.map_model, key, None)123                            if item_matching_validation_model_variable is not None:124                                for element_item_key, element_item_value in item.items():125                                    element_item_matching_validation_model_variable: Optional[BaseField] = getattr(126                                        item_matching_validation_model_variable, element_item_key, None127                                    )128                                    if element_item_matching_validation_model_variable is not None:129                                        element_item_value, valid = validate_data(130                                            value=element_item_value, item_type_to_return_to=element_item_matching_validation_model_variable,131                                            expected_value_type=element_item_matching_validation_model_variable.field_type,132                                        )133                                        if valid is True:134                                            item[element_item_key] = element_item_value135                                        else:136                                            if element_item_matching_validation_model_variable.required is not True:137                                                element_item_keys_to_pop.append(element_item_key)138                                            else:139                                                item_keys_to_pop.append(key)140                                                break141                                    else:142                                        element_item_keys_to_pop.append(element_item_key)143                                        print(message_with_vars(144                                            message=f"No map validator was found in a nested item of a dict. Item will be removed from data.",145                                            vars_dict={"elementItemKey": key, "elementItemValue": element_item_value}146                                        ))147                                else:148                                    print(message_with_vars(149                                        message=f"No map validator was found in a item of a dict. Item will be removed from data.",150                                        vars_dict={"itemKey": key, "itemValue": item}151                                    ))152                            for element_item_key_to_pop in element_item_keys_to_pop:153                                item.pop(element_item_key_to_pop)154                        else:155                            if not _types_match(type_to_check=type(item), expected_type=item_type_to_return_to.items_excepted_type):156                                item_keys_to_pop.append(key)157                                print(message_with_vars(158                                    message=f"Value of nested item of dict did not match expected type. Item will be removed from data.",159                                    vars_dict={"item": item, "itemKey": key, "expectedItemValueType": item_type_to_return_to.items_excepted_type}160                                ))161                    else:162                        value[key] = item163        num_dict_items = len(value)164        if num_dict_items > 0 and (len(item_keys_to_pop) == num_dict_items):165            print(message_with_vars(166                message="The value dict to validate was not empty, but all of its items have been "167                        "removed because they did not matched the model. Value of None is returned.",168                vars_dict={"value": value, "item_keys_to_pop": item_keys_to_pop}169            ))170            return None, False171        else:172            for item_key_to_pop in item_keys_to_pop:173                value.pop(item_key_to_pop)174            return value, True175    elif value_type == list:176        value: list177        if True:  # list_items_models is not None:  # todo: add type checking fo list models178            indexes_to_pop: List[int] = []179            for i, item in enumerate(value):180                if item_type_to_return_to.map_model is not None:181                    item, valid = validate_data(182                        value=item, expected_value_type=item_type_to_return_to.map_model,183                    )184                    if valid is False:185                        indexes_to_pop.append(i)186                elif item_type_to_return_to.items_excepted_type is not None:187                    item, valid = validate_data(188                        value=item, expected_value_type=item_type_to_return_to.items_excepted_type,189                    )190                    if valid is False:191                        indexes_to_pop.append(i)192                # If no map validator has been found, this means we have an untyped list. So, we will193                # not perform any data validation on the list items and consider all the items valid.194                """else:195                    indexes_to_pop.append(i)196                    print(message_with_vars(197                        message=f"No map validator was found in a nested item of a list. Value will be removed from data.",198                        vars_dict={"listValue": value, "item": item, "itemIndex": i}199                    ))"""200            indexes_to_pop.reverse()201            for index in indexes_to_pop:202                value.pop(index)203    elif value_type == set:204        value: set205        if item_type_to_return_to.items_excepted_type is not None:206            items_keys_values_to_remove = []207            for set_item in value:208                item_type = type(set_item)209                if not _types_match(type_to_check=item_type, expected_type=item_type_to_return_to.items_excepted_type):210                    items_keys_values_to_remove.append(set_item)211                    print(message_with_vars(212                        message=f"Value of item of set did not match expected type. Item will be removed from data.",213                        vars_dict={'item': set_item, 'itemType': item_type, 'expectedItemValueType': item_type_to_return_to.items_excepted_type}214                    ))215            num_set_items = len(value)216            if num_set_items > 0 and (len(items_keys_values_to_remove) == num_set_items):217                print(message_with_vars(218                    message="The value set to validate was not empty, but all of its items have been "219                            "removed because they did not matched the model. Value of None is returned.",220                    vars_dict={'value': value, 'itemsToRemove': items_keys_values_to_remove}221                ))222                return None, False223            else:...

ast.py

Source:ast.py

...18    I16         = Type('untyped_int', 'signed short')19    I32         = Type('untyped_int', 'signed long')20    I64         = Type('untyped_int', 'signed long long')21    UNTYPED_INT = Type('', '')22def _types_match(first_type: Types, second_type: Types) -> bool:23    untyped_type = None24    concrete_type = None25    if first_type in (Types.UNTYPED_INT,):26        untyped_type = first_type27    elif second_type in (Types.UNTYPED_INT,):28        untyped_type = second_type29    if first_type not in (Types.UNTYPED_INT,):30        concrete_type = first_type31    elif second_type not in (Types.UNTYPED_INT,):32        concrete_type = second_type33    if untyped_type is None:34        return first_type == second_type35    elif untyped_type == Types.UNTYPED_INT and concrete_type.value.base_type == 'untyped_int':36        return True37    38    return False39Expression = Union['Identifier', 'Integer']40Stmt = 'Assignment'41class Program:42    def __init__(self, stmts: "list['Stmt']") -> None:43        self._stmts = stmts44    def gen_code(self) -> str:45        program = ''46        for stmt in self._stmts:47            program += f'    {stmt.gen_code()}\n'48        return PROGRAM_TEMPLATE.format(program.rstrip('\n')).lstrip('\n')49class Assignment:50    def __init__(self, type_tok: Token, ident: 'Identifier', expression: 'Expression') -> None:51        self._type_tok = type_tok52        self._ident = ident53        self._assignment_type = Types[type_tok.value.upper()]54        self._expression = expression55    def resolve_type(self):56        expr_type = self._expression.resolve_type()57        if not _types_match(expr_type, self._assignment_type):58            error(59                MISMATCHED_TYPES.format(expr_type.name.lower(), self._assignment_type.name.lower()),60                self._type_tok.line,61                self._type_tok.column62            )63        64    def gen_code(self) -> str:65        self.resolve_type()66        return '{} {} = {};'.format(67            # Make sure to use the type of the assignment here, since the type68            # of the expression may be an unconcrete type, like untyped int.69            self._assignment_type.value.c_name, 70            self._ident.gen_code(),71            self._expression.gen_code()...

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