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Fix some path error #58
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              | Original file line number | Diff line number | Diff line change | 
|---|---|---|
| @@ -0,0 +1,242 @@ | ||
| # -*- 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 | ||
|  | ||
| import inspect | ||
| import json | ||
| import os | ||
| import re | ||
| from functools import wraps | ||
|  | ||
| try: | ||
| import yaml | ||
| except ImportError: # pragma: no cover | ||
| _have_yaml = False | ||
| else: | ||
| _have_yaml = True | ||
|  | ||
| __version__ = '1.1.1' | ||
|  | ||
| # These attributes will not conflict with any real python attribute | ||
| # They are added to the decorated test method and processed later | ||
| # by the `ddt` class decorator. | ||
|  | ||
| DATA_ATTR = '%values' # store the data the test must run with | ||
| FILE_ATTR = '%file_path' # store the path to JSON file | ||
| UNPACK_ATTR = '%unpack' # remember that we have to unpack values | ||
|  | ||
|  | ||
| try: | ||
| trivial_types = (type(None), bool, int, float, basestring) # if error in Pycharm,ignore :) | ||
| except NameError: | ||
| trivial_types = (type(None), bool, int, float, str) | ||
|  | ||
|  | ||
| def is_trivial(value): | ||
| if isinstance(value, trivial_types): | ||
| return True | ||
| elif isinstance(value, (list, tuple)): | ||
| return all(map(is_trivial, value)) | ||
| return False | ||
|  | ||
|  | ||
| def unpack(func): | ||
| """ | ||
| Method decorator to add unpack feature. | ||
| """ | ||
| setattr(func, UNPACK_ATTR, True) | ||
| return func | ||
|  | ||
|  | ||
| def data(*values): | ||
| """ | ||
| Method decorator to add to your test methods. | ||
| Should be added to methods of instances of ``unittest.TestCase``. | ||
| """ | ||
| return idata(values) | ||
|  | ||
|  | ||
| def idata(iterable): | ||
| """ | ||
| Method decorator to add to your test methods. | ||
| Should be added to methods of instances of ``unittest.TestCase``. | ||
| """ | ||
| def wrapper(func): | ||
| setattr(func, DATA_ATTR, iterable) | ||
| return func | ||
| return wrapper | ||
|  | ||
|  | ||
| def 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. | ||
| """ | ||
| def wrapper(func): | ||
| setattr(func, FILE_ATTR, value) | ||
| return func | ||
| return wrapper | ||
|  | ||
|  | ||
| def 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. | ||
| """ | ||
|  | ||
| if not is_trivial(value): | ||
| return "{0}_{1}".format(name, index + 1) | ||
| try: | ||
| value = str(value) | ||
| except UnicodeEncodeError: | ||
| # fallback for python2 | ||
| value = value.encode('ascii', 'backslashreplace') | ||
| test_name = "{0}_{1}_{2}".format(name, index + 1, value) | ||
| return re.sub('\W|^(?=\d)', '_', test_name) | ||
|  | ||
|  | ||
| def feed_data(func, new_name, *args, **kwargs): | ||
| """ | ||
| This internal method decorator feeds the test data item to the test. | ||
| """ | ||
| @wraps(func) | ||
| def wrapper(self): | ||
| return func(self, *args, **kwargs) | ||
| wrapper.__name__ = new_name | ||
| wrapper.__wrapped__ = func | ||
| # Try to call format on the docstring | ||
| if func.__doc__: | ||
| try: | ||
| wrapper.__doc__ = func.__doc__.format(*args, **kwargs) | ||
| except (IndexError, KeyError): | ||
| # Maybe the user has added some of the formating strings | ||
| # unintentionally in the docstring. Do not raise an exception as it | ||
| # could be that he is not aware of the formating feature. | ||
| pass | ||
| return wrapper | ||
|  | ||
|  | ||
| def add_test(cls, test_name, 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. | ||
| """ | ||
| setattr(cls, test_name, feed_data(func, test_name, *args, **kwargs)) | ||
|  | ||
|  | ||
| def process_file_data(cls, name, func, file_attr): | ||
| """ | ||
| Process the parameter in the `file_data` decorator. | ||
| """ | ||
| cls_path = os.path.abspath(inspect.getsourcefile(cls)) | ||
| data_file_path = os.path.join(os.path.dirname(cls_path), file_attr) | ||
|  | ||
| def create_error_func(message): # pylint: disable-msg=W0613 | ||
| def func(*args): | ||
| raise ValueError(message % file_attr) | ||
| return func | ||
|  | ||
| # If file does not exist, provide an error function instead | ||
| if not os.path.exists(data_file_path): | ||
| test_name = mk_test_name(name, "error") | ||
| add_test(cls, test_name, create_error_func("%s does not exist"), None) | ||
| return | ||
|  | ||
| _is_yaml_file = data_file_path.endswith((".yml", ".yaml")) | ||
|  | ||
| # Don't have YAML but want to use YAML file. | ||
| if _is_yaml_file and not _have_yaml: | ||
| test_name = mk_test_name(name, "error") | ||
| add_test( | ||
| cls, | ||
| test_name, | ||
| create_error_func("%s is a YAML file, please install PyYAML"), | ||
| None | ||
| ) | ||
| return | ||
|  | ||
| with open(data_file_path) as f: | ||
| # Load the data from YAML or JSON | ||
| if _is_yaml_file: | ||
| data = yaml.safe_load(f) | ||
| else: | ||
| data = json.load(f) | ||
|  | ||
| _add_tests_from_data(cls, name, func, data) | ||
|  | ||
|  | ||
| def _add_tests_from_data(cls, name, func, data): | ||
| """ | ||
| Add tests from data loaded from the data file into the class | ||
| """ | ||
| for i, elem in enumerate(data): | ||
| if isinstance(data, dict): | ||
| key, value = elem, data[elem] | ||
| test_name = mk_test_name(name, key, i) | ||
| elif isinstance(data, list): | ||
| value = elem | ||
| test_name = mk_test_name(name, value, i) | ||
| if isinstance(value, dict): | ||
| add_test(cls, test_name, func, **value) | ||
| else: | ||
| add_test(cls, test_name, func, value) | ||
|  | ||
|  | ||
| def 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. | ||
| """ | ||
| for name, func in list(cls.__dict__.items()): | ||
| if hasattr(func, DATA_ATTR): | ||
| for i, v in enumerate(getattr(func, DATA_ATTR)): | ||
| test_name = mk_test_name(name, getattr(v, "__name__", v), i) | ||
| if hasattr(func, UNPACK_ATTR): | ||
| if isinstance(v, tuple) or isinstance(v, list): | ||
| add_test(cls, test_name, func, *v) | ||
| else: | ||
| # unpack dictionary | ||
| add_test(cls, test_name, func, **v) | ||
| else: | ||
| add_test(cls, test_name, func, v) | ||
| delattr(cls, name) | ||
| elif hasattr(func, FILE_ATTR): | ||
| file_attr = getattr(func, FILE_ATTR) | ||
| process_file_data(cls, name, func, file_attr) | ||
| delattr(cls, name) | ||
| return cls | 
  
    
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please leave it as it is, you need to add your "app" directory to your PYTHONPATH environment variable, and you will get it work by importing from "modules...".