Ejemplo n.º 1
0
    def __parse(self, function_meta):
        """ init func as lazy functon instance

        Args:
            function_meta (dict): function meta including name, args and kwargs
        """
        self._func = get_mapping_function(function_meta["func_name"],
                                          self.functions_mapping)
        self.func_name = self._func.__name__
        self._args = prepare_lazy_data(function_meta.get("args", []),
                                       self.functions_mapping,
                                       self.check_variables_set)
        self._kwargs = prepare_lazy_data(function_meta.get("kwargs", {}),
                                         self.functions_mapping,
                                         self.check_variables_set)

        if self.func_name == "load_csv_file":
            if len(self._args) != 1 or self._kwargs:
                raise exceptions.ParamsError(
                    "P() should only pass in one argument!")
            self._args = [self._args[0]]
        elif self.func_name == "get_os_environ":
            if len(self._args) != 1 or self._kwargs:
                raise exceptions.ParamsError(
                    "ENV() should only pass in one argument!")
            self._args = [self._args[0]]
Ejemplo n.º 2
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def uniform_validator(validator):
    """ unify validator

    Args:
        validator (dict): validator maybe in two formats:

            format1: this is kept for compatiblity with the previous versions.
                {"check": "status_code", "comparator": "eq", "expect": 201}
                {"check": "$resp_body_success", "comparator": "eq", "expect": True}
            format2: recommended new version, {comparator: [check_item, expected_value]}
                {'eq': ['status_code', 201]}
                {'eq': ['$resp_body_success', True]}

    Returns
        dict: validator info

            {
                "check": "status_code",
                "expect": 201,
                "comparator": "equals"
            }

    """
    if not isinstance(validator, dict):
        raise exceptions.ParamsError("invalid validator: {}".format(validator))

    if "check" in validator and "expect" in validator:
        # format1
        check_item = validator["check"]
        expect_value = validator["expect"]
        comparator = validator.get("comparator", "eq")

    elif len(validator) == 1:
        # format2
        comparator = list(validator.keys())[0]
        compare_values = validator[comparator]

        if not isinstance(compare_values, list) or len(compare_values) != 2:
            raise exceptions.ParamsError(
                "invalid validator: {}".format(validator))

        check_item, expect_value = compare_values

    else:
        raise exceptions.ParamsError("invalid validator: {}".format(validator))

    # uniform comparator, e.g. lt => less_than, eq => equals
    comparator = get_uniform_comparator(comparator)

    return {
        "check": check_item,
        "expect": expect_value,
        "comparator": comparator
    }
Ejemplo n.º 3
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def ensure_mapping_format(variables):
    """ ensure variables are in mapping format.

    Args:
        variables (list/dict): original variables

    Returns:
        dict: ensured variables in dict format

    Examples:
        >>> variables = [
                {"a": 1},
                {"b": 2}
            ]
        >>> print(ensure_mapping_format(variables))
            {
                "a": 1,
                "b": 2
            }

    """
    if isinstance(variables, list):
        variables_dict = {}
        for map_dict in variables:
            variables_dict.update(map_dict)

        return variables_dict

    elif isinstance(variables, dict):
        return variables

    else:
        raise exceptions.ParamsError("variables format error!")
Ejemplo n.º 4
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    def __getattr__(self, key):
        try:
            if key == "json":
                value = self.resp_obj.json()
            elif key == "cookies":
                value =  self.resp_obj.cookies.get_dict()
            else:
                value =  getattr(self.resp_obj, key)

            self.__dict__[key] = value
            return value
        except AttributeError:
            err_msg = "ResponseObject does not have attribute: {}".format(key)
            logger.log_error(err_msg)
            raise exceptions.ParamsError(err_msg)
Ejemplo n.º 5
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    def run(self, path_or_tests, dot_env_path=None, mapping=None):
        """ main interface.

        Args:
            path_or_tests:
                str: testcase/testsuite file/foler path
                dict: valid testcase/testsuite data

        """
        if validator.is_testcase_path(path_or_tests):
            return self.run_path(path_or_tests, dot_env_path, mapping)
        elif validator.is_testcases(path_or_tests):
            return self.run_tests(path_or_tests)
        else:
            raise exceptions.ParamsError(
                "Invalid testcase path or testcases: {}".format(path_or_tests))
Ejemplo n.º 6
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    def extract_field(self, field):
        """ extract value from requests.Response.
        """
        if not isinstance(field, basestring):
            err_msg = u"Invalid extractor! => {}\n".format(field)
            logger.log_error(err_msg)
            raise exceptions.ParamsError(err_msg)

        msg = "extract: {}".format(field)

        if text_extractor_regexp_compile.match(field):
            value = self._extract_field_with_regex(field)
        else:
            value = self._extract_field_with_delimiter(field)

        if is_py2 and isinstance(value, unicode):
            value = value.encode("utf-8")

        msg += "\t=> {}".format(value)
        logger.log_debug(msg)

        return value
Ejemplo n.º 7
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def parse_parameters(parameters,
                     variables_mapping=None,
                     functions_mapping=None):
    """ parse parameters and generate cartesian product.

    Args:
        parameters (list) parameters: parameter name and value in list
            parameter value may be in three types:
                (1) data list, e.g. ["iOS/10.1", "iOS/10.2", "iOS/10.3"]
                (2) call built-in parameterize function, "${parameterize(account.csv)}"
                (3) call custom function in debugtalk.py, "${gen_app_version()}"

        variables_mapping (dict): variables mapping loaded from testcase config
        functions_mapping (dict): functions mapping loaded from debugtalk.py

    Returns:
        list: cartesian product list

    Examples:
        >>> parameters = [
            {"user_agent": ["iOS/10.1", "iOS/10.2", "iOS/10.3"]},
            {"username-password": "******"},
            {"app_version": "${gen_app_version()}"}
        ]
        >>> parse_parameters(parameters)

    """
    variables_mapping = variables_mapping or {}
    functions_mapping = functions_mapping or {}
    parsed_parameters_list = []

    parameters = utils.ensure_mapping_format(parameters)
    cartesian = parameters.pop('cartesian', None)
    for parameter_name, parameter_content in parameters.items():
        parameter_name_list = parameter_name.split("-")

        if isinstance(parameter_content, list):
            # (1) data list
            # e.g. {"app_version": ["2.8.5", "2.8.6"]}
            #       => [{"app_version": "2.8.5", "app_version": "2.8.6"}]
            # e.g. {"username-password": [["user1", "111111"], ["test2", "222222"]}
            #       => [{"username": "******", "password": "******"}, {"username": "******", "password": "******"}]
            parameter_content_list = []
            for parameter_item in parameter_content:
                if not isinstance(parameter_item, (list, tuple)):
                    # "2.8.5" => ["2.8.5"]
                    parameter_item = [parameter_item]

                # ["app_version"], ["2.8.5"] => {"app_version": "2.8.5"}
                # ["username", "password"], ["user1", "111111"] => {"username": "******", "password": "******"}
                parameter_content_dict = dict(
                    zip(parameter_name_list, parameter_item))

                parameter_content_list.append(parameter_content_dict)
        else:
            # (2) & (3)
            parsed_variables_mapping = parse_variables_mapping(
                variables_mapping)
            parsed_parameter_content = eval_lazy_data(
                parameter_content, parsed_variables_mapping, functions_mapping)
            if not isinstance(parsed_parameter_content, list):
                raise exceptions.ParamsError("parameters syntax error!")

            parameter_content_list = []
            for parameter_item in parsed_parameter_content:
                if isinstance(parameter_item, dict):
                    # get subset by parameter name
                    # {"app_version": "${gen_app_version()}"}
                    # gen_app_version() => [{'app_version': '2.8.5'}, {'app_version': '2.8.6'}]
                    # {"username-password": "******"}
                    # get_account() => [
                    #       {"username": "******", "password": "******"},
                    #       {"username": "******", "password": "******"}
                    # ]
                    parameter_dict = {
                        key: parameter_item[key]
                        for key in parameter_name_list
                    }
                elif isinstance(parameter_item, (list, tuple)):
                    # {"username-password": "******"}
                    # get_account() => [("user1", "111111"), ("user2", "222222")]
                    parameter_dict = dict(
                        zip(parameter_name_list, parameter_item))
                elif len(parameter_name_list) == 1:
                    # {"user_agent": "${get_user_agent()}"}
                    # get_user_agent() => ["iOS/10.1", "iOS/10.2"]
                    parameter_dict = {parameter_name_list[0]: parameter_item}

                parameter_content_list.append(parameter_dict)

        parsed_parameters_list.append(parameter_content_list)
    if cartesian:
        return utils.gen_cartesian_product(*parsed_parameters_list)
    else:
        return utils.gen_dict_from_zip(*parsed_parameters_list)
Ejemplo n.º 8
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    def _run_test(self, test_dict):
        """ run single teststep.

        Args:
            test_dict (dict): teststep info
                {
                    "name": "teststep description",
                    "skip": "skip this test unconditionally",
                    "times": 3,
                    "variables": [],            # optional, override
                    "request": {
                        "url": "http://127.0.0.1:5000/api/users/1000",
                        "method": "POST",
                        "headers": {
                            "Content-Type": "application/json",
                            "authorization": "$authorization",
                            "random": "$random"
                        },
                        "json": {"name": "user", "password": "******"}
                    },
                    "extract": {},              # optional
                    "validate": [],             # optional
                    "setup_hooks": [],          # optional
                    "teardown_hooks": []        # optional
                }

        Raises:
            exceptions.ParamsError
            exceptions.ValidationFailure
            exceptions.ExtractFailure

        """
        global tmp_extracted_variables
        # clear meta data first to ensure independence for each test
        self.__clear_test_data()

        # check skip
        self._handle_skip_feature(test_dict)

        # prepare
        test_dict = utils.lower_test_dict_keys(test_dict)
        test_variables = test_dict.get("variables", {})
        # override variables use former extracted_variables
        test_variables.update(tmp_extracted_variables)
        self.session_context.init_test_variables(test_variables)

        # teststep name
        test_name = self.session_context.eval_content(test_dict.get(
            "name", ""))

        # parse test request
        raw_request = test_dict.get('request', {})
        parsed_test_request = self.session_context.eval_content(raw_request)
        self.session_context.update_test_variables("request",
                                                   parsed_test_request)

        # prepend url with base_url unless it's already an absolute URL
        url = parsed_test_request.pop('url')
        base_url = self.session_context.eval_content(
            test_dict.get("base_url", ""))
        parsed_url = utils.build_url(base_url, url)

        # setup hooks
        setup_hooks = test_dict.get("setup_hooks", [])
        if setup_hooks:
            self.do_hook_actions(setup_hooks, "setup")

        try:
            method = parsed_test_request.pop('method')
            parsed_test_request.setdefault("verify", self.verify)
            group_name = parsed_test_request.pop("group", None)
        except KeyError:
            raise exceptions.ParamsError("URL or METHOD missed!")

        # TODO: move method validation to json schema
        valid_methods = [
            "GET", "HEAD", "POST", "PUT", "PATCH", "DELETE", "OPTIONS"
        ]
        if method.upper() not in valid_methods:
            err_msg = u"Invalid HTTP method! => {}\n".format(method)
            err_msg += "Available HTTP methods: {}".format(
                "/".join(valid_methods))
            logger.log_error(err_msg)
            raise exceptions.ParamsError(err_msg)

        logger.log_info("{method} {url}".format(method=method, url=parsed_url))
        logger.log_debug(
            "request kwargs(raw): {kwargs}".format(kwargs=parsed_test_request))

        # request
        resp = self.http_client_session.request(method,
                                                parsed_url,
                                                name=(group_name or test_name),
                                                **parsed_test_request)
        resp_obj = response.ResponseObject(resp)

        # extract
        extractors = test_dict.get("extract", {})
        if extractors:
            extracted_variables_mapping = resp_obj.extract_response(extractors)
            tmp_extracted_variables.update(extracted_variables_mapping)
            self.session_context.update_session_variables(
                extracted_variables_mapping)
        self.session_context.update_session_variables(tmp_extracted_variables)

        # validate
        validators = test_dict.get("validate") or test_dict.get(
            "validators") or []
        try:
            self.session_context.validate(validators, resp_obj)
        except (exceptions.ParamsError, exceptions.ValidationFailure,
                exceptions.ExtractFailure):
            err_msg = "{} DETAILED REQUEST & RESPONSE {}\n".format(
                "*" * 32, "*" * 32)

            # log request
            err_msg += "====== request details ======\n"
            err_msg += "url: {}\n".format(parsed_url)
            err_msg += "method: {}\n".format(method)
            err_msg += "headers: {}\n".format(
                parsed_test_request.pop("headers", {}))
            for k, v in parsed_test_request.items():
                v = utils.omit_long_data(v)
                err_msg += "{}: {}\n".format(k, repr(v))

            err_msg += "\n"

            # log response
            err_msg += "====== response details ======\n"
            err_msg += "status_code: {}\n".format(resp_obj.status_code)
            err_msg += "headers: {}\n".format(resp_obj.headers)
            err_msg += "body: {}\n".format(repr(resp_obj.text))
            logger.log_error(err_msg)

            raise

        finally:
            self.validation_results = self.session_context.validation_results
            # teardown hooks
            teardown_hooks = test_dict.get("teardown_hooks", [])
            if teardown_hooks:
                self.session_context.update_test_variables(
                    "response", resp_obj)
                self.do_hook_actions(teardown_hooks, "teardown")
Ejemplo n.º 9
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def load_api_folder(api_folder_path):
    """ load api definitions from api folder.

    Args:
        api_folder_path (str): api files folder.

            api file should be in the following format:
            [
                {
                    "api": {
                        "def": "api_login",
                        "request": {},
                        "validate": []
                    }
                },
                {
                    "api": {
                        "def": "api_logout",
                        "request": {},
                        "validate": []
                    }
                }
            ]

    Returns:
        dict: api definition mapping.

            {
                "api_login": {
                    "function_meta": {"func_name": "api_login", "args": [], "kwargs": {}}
                    "request": {}
                },
                "api_logout": {
                    "function_meta": {"func_name": "api_logout", "args": [], "kwargs": {}}
                    "request": {}
                }
            }

    """
    api_definition_mapping = {}

    api_items_mapping = load_folder_content(api_folder_path)

    for api_file_path, api_items in api_items_mapping.items():
        # TODO: add JSON schema validation
        if isinstance(api_items, list):
            for api_item in api_items:
                key, api_dict = api_item.popitem()
                api_id = api_dict.get("id") or api_dict.get(
                    "def") or api_dict.get("name")
                if key != "api" or not api_id:
                    raise exceptions.ParamsError(
                        "Invalid API defined in {}".format(api_file_path))

                if api_id in api_definition_mapping:
                    raise exceptions.ParamsError(
                        "Duplicated API ({}) defined in {}".format(
                            api_id, api_file_path))
                else:
                    api_definition_mapping[api_id] = api_dict

        elif isinstance(api_items, dict):
            if api_file_path in api_definition_mapping:
                raise exceptions.ParamsError(
                    "Duplicated API defined: {}".format(api_file_path))
            else:
                api_definition_mapping[api_file_path] = api_items

    return api_definition_mapping
Ejemplo n.º 10
0
    def _extract_field_with_delimiter(self, field):
        """ response content could be json or html text.

        Args:
            field (str): string joined by delimiter.
            e.g.
                "status_code"
                "headers"
                "cookies"
                "content"
                "headers.content-type"
                "content.person.name.first_name"

        """
        # string.split(sep=None, maxsplit=-1) -> list of strings
        # e.g. "content.person.name" => ["content", "person.name"]
        try:
            top_query, sub_query = field.split('.', 1)
        except ValueError:
            top_query = field
            sub_query = None

        # status_code
        if top_query in ["status_code", "encoding", "ok", "reason", "url"]:
            if sub_query:
                # status_code.XX
                err_msg = u"Failed to extract: {}\n".format(field)
                logger.log_error(err_msg)
                raise exceptions.ParamsError(err_msg)

            return getattr(self, top_query)

        # cookies
        elif top_query == "cookies":
            cookies = self.cookies
            if not sub_query:
                # extract cookies
                return cookies

            try:
                return cookies[sub_query]
            except KeyError:
                err_msg = u"Failed to extract cookie! => {}\n".format(field)
                err_msg += u"response cookies: {}\n".format(cookies)
                logger.log_error(err_msg)
                raise exceptions.ExtractFailure(err_msg)

        # elapsed
        elif top_query == "elapsed":
            available_attributes = u"available attributes: days, seconds, microseconds, total_seconds"
            if not sub_query:
                err_msg = u"elapsed is datetime.timedelta instance, attribute should also be specified!\n"
                err_msg += available_attributes
                logger.log_error(err_msg)
                raise exceptions.ParamsError(err_msg)
            elif sub_query in ["days", "seconds", "microseconds"]:
                return getattr(self.elapsed, sub_query)
            elif sub_query == "total_seconds":
                return self.elapsed.total_seconds()
            else:
                err_msg = "{} is not valid datetime.timedelta attribute.\n".format(sub_query)
                err_msg += available_attributes
                logger.log_error(err_msg)
                raise exceptions.ParamsError(err_msg)

        # headers
        elif top_query == "headers":
            headers = self.headers
            if not sub_query:
                # extract headers
                return headers

            try:
                return headers[sub_query]
            except KeyError:
                err_msg = u"Failed to extract header! => {}\n".format(field)
                err_msg += u"response headers: {}\n".format(headers)
                logger.log_error(err_msg)
                raise exceptions.ExtractFailure(err_msg)

        # response body
        elif top_query in ["content", "text", "json"]:
            try:
                body = self.json
            except exceptions.JSONDecodeError:
                body = self.text

            if not sub_query:
                # extract response body
                return body

            if isinstance(body, (dict, list)):
                # content = {"xxx": 123}, content.xxx
                return utils.query_json(body, sub_query)
            elif sub_query.isdigit():
                # content = "abcdefg", content.3 => d
                return utils.query_json(body, sub_query)
            else:
                # content = "<html>abcdefg</html>", content.xxx
                err_msg = u"Failed to extract attribute from response body! => {}\n".format(field)
                err_msg += u"response body: {}\n".format(body)
                logger.log_error(err_msg)
                raise exceptions.ExtractFailure(err_msg)

        # new set response attributes in teardown_hooks
        elif top_query in self.__dict__:
            attributes = self.__dict__[top_query]

            if not sub_query:
                # extract response attributes
                return attributes

            if isinstance(attributes, (dict, list)):
                # attributes = {"xxx": 123}, content.xxx
                return utils.query_json(attributes, sub_query)
            elif sub_query.isdigit():
                # attributes = "abcdefg", attributes.3 => d
                return utils.query_json(attributes, sub_query)
            else:
                # content = "attributes.new_attribute_not_exist"
                err_msg = u"Failed to extract cumstom set attribute from teardown hooks! => {}\n".format(field)
                err_msg += u"response set attributes: {}\n".format(attributes)
                logger.log_error(err_msg)
                raise exceptions.TeardownHooksFailure(err_msg)

        # others
        else:
            err_msg = u"Failed to extract attribute from response! => {}\n".format(field)
            err_msg += u"available response attributes: status_code, cookies, elapsed, headers, content, text, json, encoding, ok, reason, url.\n\n"
            err_msg += u"If you want to set attribute in teardown_hooks, take the following example as reference:\n"
            err_msg += u"response.new_attribute = 'new_attribute_value'\n"
            logger.log_error(err_msg)
            raise exceptions.ParamsError(err_msg)