How to use infere_datatypes method in lettuce-tools

Best Python code snippet using lettuce-tools_python

rest_utils.py

Source:rest_utils.py Github

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...18 def prepare_plain_data(self, data):19 try:20 data = self.generate_fixed_lenght_params(data)21 data = self.remove_missing_params(data)22 data = self.infere_datatypes(data)23 return data24 except:25 return None26 def prepare_data(self, step, hash_index):27 try:28 data = step.hashes[hash_index]29 return self.prepare_plain_data(data)30 except:31 return None32 def remove_missing_params(self, data):33 """34 Removes al the data elements tagged with the text [MISSING_PARAM] in lettuce35 :param data: Lettuce step hash entry36 """37 try:38 for item in data.keys():39 if "[MISSING_PARAM]" in data[item]:40 del(data[item])41 finally:42 return data43 def generate_fixed_lenght_params(self, data):44 """45 Generate a fixed length data for elements tagged with the text [LENGHT] in lettuce46 :param data: Lettuce step hash entry47 """48 try:49 seeds = {'STRING': 'a', 'INTEGER': 1}50 for item in data.keys():51 if "_WITH_LENGTH_" in data[item]:52 seed, length = data[item][1:len(data[item]) - 1].split("_WITH_LENGTH_")53 data[item] = seeds[seed] * int(length)54 finally:55 return data56 def infere_datatypes(self, data):57 """58 Transformes data from string to primitive type59 :param data: Data to be transformed60 """61 """ Separate the process of lists, dicts and plain items"""62 try:63 if isinstance(data, dict):64 for item in data:65 try:66 data[item] = int(data[item])67 except:68 try:69 if "[TRUE]" in data[item]:70 data[item] = True71 if "[FALSE]" in data[item]:72 data[item] = False73 else:74 data[item] = float(data[item])75 except:76 continue77 if isinstance(data, list):78 for item in range(1, len(data)):79 try:80 data[item] = int(data[item])81 except:82 try:83 if "[TRUE]" in data[item]:84 data[item] = True85 if "[FALSE]" in data[item]:86 data[item] = False87 else:88 data[item] = float(data[item])89 except:90 continue91 if not isinstance(data, list) and not isinstance(data, dict):92 """ Assumption of single item """93 try:94 data = int(data)95 except:96 try:97 if "[TRUE]" in data:98 data = True99 if "[FALSE]" in data:100 data = False101 else:102 data = float(data)103 except:104 return data105 finally:106 return data107 def generate_attributes(self, attributes_keys, attributes_values):108 """109 Generates the instances attributes dictionary from a list of keys and values in the lettuce step110 :param key: Attributes keys111 :param data: Attributes values112 """113 attributes = {}114 try:115 if "[MALFORMED]" in attributes_keys:116 attributes = [""]117 return attributes118 if "ARRAY_WITH_ITEMS_" in attributes_keys:119 length = attributes_keys[1:len(attributes_keys) - 1].split("_WITH_ITEMS_")[1]120 fixed_attributes = {}121 for value in range(0, int(length)):122 fixed_attributes[str(value)] = str(value)123 return fixed_attributes124 else:125 try:126 attributes = dict(zip(attributes_keys.split(","),\127 attributes_values.split(",")))128 return self.infere_datatypes(attributes)129 except:130 #attributes are a single value that has been infered. Just zip it131 attributes = dict(zip([attributes_keys], [attributes_values]))132 return self.infere_datatypes(attributes)133 except:134 return attributes135 def request_the_resource(self, step, url_template, params_index=-1, headers_index=-1):136 """137 Send a GET request with params to the URL provided, and store the138 result in the world (status code and JSON received, if any).139 :param step: Current Lettuce step.140 :param url_template: Template of the URL where to send the request.141 :param headers_index: Index of the headers information within the step.142 :param params_index: Index of the params information within the step.143 """144 """Get the URL with values from the template."""145 url = self._get_url_with_values(url_template)146 """Get the params to be sent, if any."""...

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dataset_utils.py

Source:dataset_utils.py Github

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...11 """12 try:13 data = self.generate_fixed_length_params(data)14 data = self.remove_missing_params(data)15 data = self.infere_datatypes(data)16 return data17 except:18 return None19 def remove_missing_params(self, data):20 """21 Removes all the data elements tagged with the text [MISSING_PARAM] in lettuce22 :param data: Lettuce step hash entry23 :return data without not desired params24 """25 try:26 for item in data.keys():27 if "[MISSING_PARAM]" in data[item]:28 del(data[item])29 finally:30 return data31 def generate_fixed_length_param(self, param):32 """33 Generate a fixed length param if the elements matches the expression34 [<type>_WITH_LENGTH_<length>] in lettuce. E.g.: [STRING_WITH_LENGTH_15]35 :param param: Lettuce param36 :return param with the desired length37 """38 try:39 if "_WITH_LENGTH_" in param:40 if "_ARRAY_WITH_LENGTH_" in param:41 seeds = {'STRING': 'a', 'INTEGER': 1}42 seed, length = param[1:-1].split("_ARRAY_WITH_LENGTH_")43 param = list(seeds[seed] for x in xrange(int(length)))44 elif "JSON_WITH_LENGTH_" in param:45 length = int(param[1:-1].split("JSON_WITH_LENGTH_")[1])46 param = dict((str(x), str(x)) for x in xrange(length))47 else:48 seeds = {'STRING': 'a', 'INTEGER': "1"}49 # The chain to be generated can be just a part of param50 start = param.find("[")51 end = param.find("]")52 seed, length = param[start + 1:end].split("_WITH_LENGTH_")53 generated_part = seeds[seed] * int(length)54 placeholder = "[" + seed + "_WITH_LENGTH_" + length + "]"55 param = param.replace(placeholder, generated_part)56 if seed is "INTEGER":57 param = int(param)58 finally:59 return param60 def generate_fixed_length_params(self, data):61 """62 Generate a fixed length data for the elements that match the expression63 [<type>_WITH_LENGTH_<length>] in lettuce. E.g.: [STRING_WITH_LENTGH_15]64 :param data: Lettuce step hash entry65 :return data with the desired params with the desired length66 """67 try:68 for item in data.keys():69 data[item] = self.generate_fixed_length_param(data[item])70 finally:71 return data72 def infere_datatypes(self, data):73 """74 Process the input data and replace the values in string format with the75 the appropriate primitive type, based on its content76 :param data: list of items, dict of items or single item77 :return processed list of items, dict of items or single item78 """79 """ Separate the process of lists, dicts and plain items"""80 try:81 if isinstance(data, dict): # dict of items82 for key in data:83 data[key] = self._get_item_with_type(data[key])84 elif isinstance(data, list): # list of items85 for index in range(len(data)):86 data[index] = self._get_item_with_type(data[index])...

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steps.py

Source:steps.py Github

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...13def i_configure_the_mock_in_url_to_answer_with_status_and_body(step, url, status, body):14 url = world.config["mock"]["base_url"] + "/mock_configurations" + url15 headers = dict()16 headers.update({"Content-Type": "application/json"})17 body = dataset_utils.infere_datatypes(body)18 headers.update({"Content-Length": str(len(json.dumps(body)))})19 response_info = dict()20 response_info.update({"status_code": int(status)})21 response_info.update({"headers": headers})22 response_info.update({"body": body})23 requests.post(url, json.dumps(response_info))24@step(u'I request the mock with a GET to (.*)')25def i_request_the_mock_with_a_get_to_url(step, url):26 url = world.config["mock"]["base_url"] + url27 world.res = requests.get(url)28@step(u'I receive (.*) and (.*)')29def i_receive_status_and_body(step, status_code, body):30 assert int(status_code) == world.res.status_code, \31 "Response http code received [%s] is different to the http code expected [%s] " \...

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