def __extend_with_api_ref(raw_testinfo):
""" extend with api reference
Raises:
exceptions.ApiNotFound: api not found
"""
api_name = raw_testinfo["api"]
# api maybe defined in two types:
# 1, individual file: each file is corresponding to one api definition
# 2, api sets file: one file contains a list of api definitions
if not os.path.isabs(api_name):
# make compatible with Windows/Linux
pwd = get_project_working_directory()
api_path = os.path.join(pwd, *api_name.split("/"))
if os.path.isfile(api_path):
# type 1: api is defined in individual file
api_name = api_path
if api_name in tests_def_mapping["api"]:
block = tests_def_mapping["api"][api_name]
elif not os.path.isfile(api_name):
raise exceptions.ApiNotFound("{} not found!".format(api_name))
else:
block = load_file(api_name)
# NOTICE: avoid project_mapping been changed during iteration.
raw_testinfo["api_def"] = utils.deepcopy_dict(block)
tests_def_mapping["api"][api_name] = block
def __extend_with_testcase_ref(raw_testinfo):
""" extend with test_case reference
"""
testcase_path = raw_testinfo["test_case"]
if testcase_path not in tests_def_mapping["testcases"]:
# make compatible with Windows/Linux
pwd = get_project_working_directory()
testcase_path = os.path.join(pwd, *testcase_path.split("/"))
loaded_testcase = load_file(testcase_path)
if isinstance(loaded_testcase, list):
# make compatible with version < 2.2.0
testcase_dict = load_testcase(loaded_testcase)
elif isinstance(loaded_testcase,
dict) and "teststeps" in loaded_testcase:
# format version 2, implemented in 2.2.0
testcase_dict = load_testcase_v2(loaded_testcase)
else:
raise exceptions.FileFormatError(
"Invalid format test_case: {}".format(testcase_path))
tests_def_mapping["testcases"][testcase_path] = testcase_dict
else:
testcase_dict = tests_def_mapping["testcases"][testcase_path]
raw_testinfo["testcase_def"] = testcase_dict
def load_csv_file(csv_file):
""" load csv file and check file content format
加载csv文件并检查文件内容格式
Args:
csv_file (str): csv file path, csv file content is like below:
csv文件路径，csv文件内容如下所示
Returns:
list: list of parameters, each parameter is in dict format
参数列表，每个参数都是dict格式
Examples:
>>> cat csv_file
username,password
test1,111111
test2,222222
test3,333333
>>> load_csv_file(csv_file)
[
{'username': '******', 'password': '******'},
{'username': '******', 'password': '******'},
{'username': '******', 'password': '******'}
]
"""
if not os.path.isabs(csv_file):
pwd = get_project_working_directory()
# make compatible with Windows/Linux 与Windows/Linux兼容
csv_file = os.path.join(pwd, *csv_file.split("/"))
if not os.path.isfile(csv_file):
# file path not exist 文件路径不存在
raise exceptions.CSVNotFound(csv_file)
csv_content_list = []
with io.open(csv_file, encoding='utf-8') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
csv_content_list.append(row)
return csv_content_list
