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  • python ddt

    #!/usr/bin/env/python
    # -*- coding: utf-8 -*-
    # @Time    : 2018/12/15 15:27
    # @Author  : ChenAdong
    # @Email   : aiswell@foxmail.com
    
    import unittest
    import ddt
    
    
    lst = [1, 2, 3]
    dic = {"userName": "chen"}
    tur = (1, 2, 3)
    s = {1, 2, 3}
    
    
    @ddt.ddt
    class Test(unittest.TestCase):
    
    	@ddt.data(*lst)
    	def test_list(self, data):
    		print("test_list")
    		print(data)
    		print("==================")
    
    	@ddt.data(*dic)
    	def test_dictionary(self, data):
    		print("test_dic")
    		print(data)
    		print("==================")
    
    	@ddt.file_data("ddt_test001.json")
    	def test_file(self, key):
    		print(key)
    
    	@ddt.file_data("ddt_test.json")
    	@ddt.unpack
    	def test_file(self, start, end, value):
    		print(start, end, value)
    
    
    if __name__ == "__main__":
    	unittest.main()

    """
    # 付上ddt-help

    E:myworkspacepython_workspace oolsvenvScriptspython.exe E:/myworkspace/python_workspace/projects/tmp/test002.py
    Help on module ddt:

    NAME
    ddt

    DESCRIPTION
    # -*- coding: utf-8 -*-
    # This file is a part of DDT (https://github.com/txels/ddt)
    # Copyright 2012-2015 Carles Barrobés and DDT contributors
    # For the exact contribution history, see the git revision log.
    # DDT is licensed under the MIT License, included in
    # https://github.com/txels/ddt/blob/master/LICENSE.md

    FUNCTIONS
    add_test(cls, test_name, test_docstring, func, *args, **kwargs)
    Add a test case to this class.

    The test will be based on an existing function but will give it a new
    name.

    data(*values)
    Method decorator to add to your test methods.

    Should be added to methods of instances of ``unittest.TestCase``.

    ddt(cls)
    Class decorator for subclasses of ``unittest.TestCase``.

    Apply this decorator to the test case class, and then
    decorate test methods with ``@data``.

    For each method decorated with ``@data``, this will effectively create as
    many methods as data items are passed as parameters to ``@data``.

    The names of the test methods follow the pattern
    ``original_test_name_{ordinal}_{data}``. ``ordinal`` is the position of the
    data argument, starting with 1.

    For data we use a string representation of the data value converted into a
    valid python identifier. If ``data.__name__`` exists, we use that instead.

    For each method decorated with ``@file_data('test_data.json')``, the
    decorator will try to load the test_data.json file located relative
    to the python file containing the method that is decorated. It will,
    for each ``test_name`` key create as many methods in the list of values
    from the ``data`` key.

    feed_data(func, new_name, test_data_docstring, *args, **kwargs)
    This internal method decorator feeds the test data item to the test.

    file_data(value)
    Method decorator to add to your test methods.

    Should be added to methods of instances of ``unittest.TestCase``.

    ``value`` should be a path relative to the directory of the file
    containing the decorated ``unittest.TestCase``. The file
    should contain JSON encoded data, that can either be a list or a
    dict.

    In case of a list, each value in the list will correspond to one
    test case, and the value will be concatenated to the test method
    name.

    In case of a dict, keys will be used as suffixes to the name of the
    test case, and values will be fed as test data.

    idata(iterable)
    Method decorator to add to your test methods.

    Should be added to methods of instances of ``unittest.TestCase``.

    is_trivial(value)

    mk_test_name(name, value, index=0)
    Generate a new name for a test case.

    It will take the original test name and append an ordinal index and a
    string representation of the value, and convert the result into a valid
    python identifier by replacing extraneous characters with ``_``.

    We avoid doing str(value) if dealing with non-trivial values.
    The problem is possible different names with different runs, e.g.
    different order of dictionary keys (see PYTHONHASHSEED) or dealing
    with mock objects.
    Trivial scalar values are passed as is.

    A "trivial" value is a plain scalar, or a tuple or list consisting
    only of trivial values.

    process_file_data(cls, name, func, file_attr)
    Process the parameter in the `file_data` decorator.

    unpack(func)
    Method decorator to add unpack feature.

    DATA
    DATA_ATTR = '%values'
    FILE_ATTR = '%file_path'
    UNPACK_ATTR = '%unpack'
    index_len = 5
    trivial_types = (<class 'NoneType'>, <class 'bool'>, <class 'int'>, <c...

    VERSION
    1.2.1

    FILE
    e:myworkspacepython_workspace oolsvenvlibsite-packagesddt.py


    None

    Process finished with exit code 0


    """
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  • 原文地址:https://www.cnblogs.com/chenadong/p/10418809.html
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