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92 lines
2.1 KiB
Python
92 lines
2.1 KiB
Python
# encoding: utf-8
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import types
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""" validate data format
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TODO: refactor with JSON schema validate
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"""
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def is_testcase(data_structure):
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""" check if data_structure is a testcase.
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Args:
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data_structure (dict): testcase should always be in the following data structure:
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{
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"name": "desc1",
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"config": {},
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"api": {},
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"testcases": [testcase11, testcase12]
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}
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Returns:
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bool: True if data_structure is valid testcase, otherwise False.
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"""
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if not isinstance(data_structure, dict):
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return False
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if "name" not in data_structure or "teststeps" not in data_structure:
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return False
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if not isinstance(data_structure["teststeps"], list):
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return False
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return True
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def is_testcases(data_structure):
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""" check if data_structure is testcase or testcases list.
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Args:
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data_structure (dict): testcase(s) should always be in the following data structure:
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testcase_dict
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or
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[
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testcase_dict_1,
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testcase_dict_2
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]
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Returns:
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bool: True if data_structure is valid testcase(s), otherwise False.
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"""
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if not isinstance(data_structure, list):
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return is_testcase(data_structure)
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for item in data_structure:
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if not is_testcase(item):
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return False
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return True
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###############################################################################
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## validate varibles and functions
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###############################################################################
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def is_function(tup):
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""" Takes (name, object) tuple, returns True if it is a function.
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"""
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name, item = tup
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return isinstance(item, types.FunctionType)
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def is_variable(tup):
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""" Takes (name, object) tuple, returns True if it is a variable.
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"""
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name, item = tup
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if callable(item):
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# function or class
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return False
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if isinstance(item, types.ModuleType):
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# imported module
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return False
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if name.startswith("_"):
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# private property
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return False
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return True
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