# encoding: utf-8
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import os
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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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"config": {
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"name": "desc1",
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"variables": [], # optional
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"request": {} # optional
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},
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"teststeps": [
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teststep1,
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{ # teststep2
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'name': 'test step desc2',
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'variables': [], # optional
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'extract': [], # optional
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'validate': [],
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'request': {},
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'function_meta': {}
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}
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]
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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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# TODO: replace with JSON schema validation
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if not isinstance(data_structure, dict):
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return False
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if "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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def is_testcase_path(path):
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"""check if path is testcase path or path list.
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Args:
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path (str/list): file path or file path list.
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Returns:
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bool: True if path is valid file path or path list, otherwise False.
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"""
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if not isinstance(path, (str, list)):
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return False
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if isinstance(path, list):
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for p in path:
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if not is_testcase_path(p):
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return False
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if isinstance(path, str):
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if not os.path.exists(path):
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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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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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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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