Files
httprunner/httprunner/loader/check.py

192 lines
5.2 KiB
Python

import io
import json
import os
import types
from httprunner import logger, exceptions
# TODO: validate data format with JSON schema
def is_testcase(data_structure):
""" check if data_structure is a testcase.
Args:
data_structure (dict): testcase should always be in the following data structure:
{
"config": {
"name": "desc1",
"variables": [], # optional
"request": {} # optional
},
"teststeps": [
test_dict1,
{ # test_dict2
'name': 'test step desc2',
'variables': [], # optional
'extract': [], # optional
'validate': [],
'request': {},
'function_meta': {}
}
]
}
Returns:
bool: True if data_structure is valid testcase, otherwise False.
"""
# TODO: replace with JSON schema validation
if not isinstance(data_structure, dict):
return False
if "teststeps" not in data_structure:
return False
if not isinstance(data_structure["teststeps"], list):
return False
return True
def is_testcases(data_structure):
""" check if data_structure is testcase or testcases list.
Args:
data_structure (dict): testcase(s) should always be in the following data structure:
{
"project_mapping": {
"PWD": "XXXXX",
"functions": {},
"env": {}
},
"testcases": [
{ # testcase data structure
"config": {
"name": "desc1",
"path": "testcase1_path",
"variables": [], # optional
},
"teststeps": [
# test data structure
{
'name': 'test step desc1',
'variables': [], # optional
'extract': [], # optional
'validate': [],
'request': {}
},
test_dict_2 # another test dict
]
},
testcase_dict_2 # another testcase dict
]
}
Returns:
bool: True if data_structure is valid testcase(s), otherwise False.
"""
if not isinstance(data_structure, dict):
return False
if "testcases" not in data_structure:
return False
testcases = data_structure["testcases"]
if not isinstance(testcases, list):
return False
for item in testcases:
if not is_testcase(item):
return False
return True
def is_testcase_path(path):
""" check if path is testcase path or path list.
Args:
path (str/list): file path or file path list.
Returns:
bool: True if path is valid file path or path list, otherwise False.
"""
if not isinstance(path, (str, list)):
return False
if isinstance(path, list):
for p in path:
if not is_testcase_path(p):
return False
if isinstance(path, str):
if not os.path.exists(path):
return False
return True
def check_testcase_format(file_path, content):
""" check testcase format if valid
"""
# TODO: replace with JSON schema validation
if not content:
# testcase file content is empty
err_msg = u"Testcase file content is empty: {}".format(file_path)
logger.log_error(err_msg)
raise exceptions.FileFormatError(err_msg)
elif not isinstance(content, (list, dict)):
# testcase file content does not match testcase format
err_msg = u"Testcase file content format invalid: {}".format(file_path)
logger.log_error(err_msg)
raise exceptions.FileFormatError(err_msg)
def validate_json_file(file_list):
""" validate JSON testcase format
"""
for json_file in set(file_list):
if not json_file.endswith(".json"):
logger.log_warning("Only JSON file format can be validated, skip: {}".format(json_file))
continue
logger.color_print("Start to validate JSON file: {}".format(json_file), "GREEN")
with io.open(json_file) as stream:
try:
json.load(stream)
except ValueError as e:
raise SystemExit(e)
print("OK")
def is_function(item):
""" Takes item object, returns True if it is a function.
"""
return isinstance(item, types.FunctionType)
def is_variable(tup):
""" Takes (name, object) tuple, returns True if it is a variable.
"""
name, item = tup
if callable(item):
# function or class
return False
if isinstance(item, types.ModuleType):
# imported module
return False
if name.startswith("_"):
# private property
return False
return True