refactor parameterization:

parameter value now can be in three types:
(1) data list
(2) call built-in parameterize function
(3) call custom function in debugtalk.py
This commit is contained in:
debugtalk
2018-03-07 00:15:06 +08:00
parent 85c49e6924
commit f53baaf757
8 changed files with 124 additions and 51 deletions

View File

@@ -11,8 +11,8 @@ import yaml
from httprunner import exception, logger, utils
variable_regexp = r"\$([\w_]+)"
function_regexp = r"\$\{([\w_]+\([\$\w_ =,]*\))\}"
function_regexp_compile = re.compile(r"^([\w_]+)\(([\$\w_ =,]*)\)$")
function_regexp = r"\$\{([\w_]+\([\$\w\.\-_ =,]*\))\}"
function_regexp_compile = re.compile(r"^([\w_]+)\(([\$\w\.\-_ =,]*)\)$")
test_def_overall_dict = {
"loaded": False,
"api": {},
@@ -73,10 +73,6 @@ def _load_csv_file(csv_file):
if not parameter_list:
# first line will always be parameter name
expected_filename = "{}.csv".format("-".join(line_data))
if not csv_file.endswith(expected_filename):
raise exception.FileFormatError("CSV file name does not match with headers: {}".format(csv_file))
parameter_list = line_data
collums_num = len(parameter_list)
continue
@@ -642,34 +638,54 @@ def gen_cartesian_product(*args):
return product_list
def gen_cartesian_product_parameters(parameters, testset_path):
def parse_parameters(parameters, testset_path=None):
""" parse parameters and generate cartesian product
@params
(list) parameters: parameter name and fetch method
(list) parameters: parameter name and value in list
parameter value may be in three types:
(1) data list
(2) call built-in parameterize function
(3) call custom function in debugtalk.py
e.g.
[
{"user_agent": "Random"},
{"app_version": "Sequential"}
{"user_agent": ["iOS/10.1", "iOS/10.2", "iOS/10.3"]},
{"username-password": "${parameterize(account.csv)}"},
{"app_version": "${gen_app_version()}"}
]
(str) testset_path: testset file path, used for locating csv file
(str) testset_path: testset file path, used for locating csv file and debugtalk.py
@return cartesian product in list
"""
parameters_content_list = []
testcase_parser = TestcaseParser(file_path=testset_path)
parsed_parameters_list = []
for parameter in parameters:
parameter_name, fetch_method = list(parameter.items())[0]
parameter_file_path = os.path.join(
os.path.dirname(testset_path),
"{}.csv".format(parameter_name)
)
csv_content_list = load_file(parameter_file_path)
parameter_name, parameter_content = list(parameter.items())[0]
parameter_name_list = parameter_name.split("-")
if fetch_method.lower() == "random":
random.shuffle(csv_content_list)
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": "user1", "password": "111111"}, {"username": "user2", "password": "222222"}]
parameter_content_list = [
dict(zip(parameter_name_list, [parameter_item]))
for parameter_item in parameter_content
]
else:
# (2) & (3)
parsed_parameter_content = testcase_parser.eval_content_with_bindings(parameter_content)
# e.g. [{'app_version': '2.8.5'}, {'app_version': '2.8.6'}]
# e.g. [{"username": "user1", "password": "111111"}, {"username": "user2", "password": "222222"}]
parameter_content_list = [
# get subset by parameter name
{key: parameter_item[key] for key in parameter_name_list}
for parameter_item in parsed_parameter_content
]
parameters_content_list.append(csv_content_list)
return gen_cartesian_product(*parameters_content_list)
parsed_parameters_list.append(parameter_content_list)
return gen_cartesian_product(*parsed_parameters_list)
class TestcaseParser(object):
@@ -726,19 +742,34 @@ class TestcaseParser(object):
raise exception.ParamsError(
"{} is not defined in bind {}s!".format(item_name, item_type))
def parameterize(self, csv_file_name, fetch_method="Sequential"):
parameter_file_path = os.path.join(
os.path.dirname(self.file_path),
"{}".format(csv_file_name)
)
csv_content_list = load_file(parameter_file_path)
if fetch_method.lower() == "random":
random.shuffle(csv_content_list)
return csv_content_list
def _eval_content_functions(self, content):
functions_list = extract_functions(content)
for func_content in functions_list:
function_meta = parse_function(func_content)
func_name = function_meta['func_name']
func = self.get_bind_item("function", func_name)
args = function_meta.get('args', [])
kwargs = function_meta.get('kwargs', {})
args = self.eval_content_with_bindings(args)
kwargs = self.eval_content_with_bindings(kwargs)
eval_value = func(*args, **kwargs)
if func_name in ["parameterize", "P"]:
eval_value = self.parameterize(*args, **kwargs)
else:
func = self.get_bind_item("function", func_name)
eval_value = func(*args, **kwargs)
func_content = "${" + func_content + "}"
if func_content == content: