Completed
Pull Request — develop (#344)
by Gonzalo
01:48
created

Test.test_conda_app_image()   A

Complexity

Conditions 2

Size

Total Lines 7

Duplication

Lines 0
Ratio 0 %

Importance

Changes 1
Bugs 0 Features 0
Metric Value
cc 2
c 1
b 0
f 0
dl 0
loc 7
rs 9.4285
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from __future__ import print_function, unicode_literals
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# Standard libary imports
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from os import path
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import unittest
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# Local imports
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from binstar_client.inspect_package import conda
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def data_path(filename):
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    return path.join(path.dirname(__file__), 'data', filename)
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expected_package_data = {
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    'license': None,
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    'name': 'conda_gc_test',
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    'summary': 'This is a simple meta-package',
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    }
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expected_version_data = {
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    'description': '',
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    'home_page': None,
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    'icon': None,  # The icon if found on the conda folder is uplaoded here.
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    'version': '1.2.1',
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    }
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expected_file_data = {
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    'attrs': {
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        'arch': 'x86_64',
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        'build': 'py27_3',
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        'build_number': 3,
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        'depends': ['foo ==3*', 'python ==2.7.8'],
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        'license': None,
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        'machine': 'x86_64',
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        'operatingsystem': 'darwin',
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        'platform': 'osx',
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        'subdir': 'osx-64',
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        'target-triplet': 'x86_64-any-darwin',
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        'has_prefix': False,
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        },
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    'basename': 'osx-64/conda_gc_test-1.2.1-py27_3.tar.bz2',
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    'dependencies': {
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        'depends': [{'name': 'foo', 'specs': [['==', '3']]},
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                    {'name': 'python', 'specs': [['==', '2.7.8']]}],
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        },
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    }
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# Test package application data
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# -----------------------------------------------------------------------------
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app_expected_package_data = {
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    'license': None,
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    'name': u'test-app-package-icon',
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    'summary': u'',
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    }
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app_expected_version_data = {
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    'description': '',
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    'home_page': None,
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    'icon': 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',
61
    'version': u'0.1',
62
    }
63
64
65
class Test(unittest.TestCase):
66
67
    def test_conda(self):
68
        filename = data_path('conda_gc_test-1.2.1-py27_3.tar.bz2')
69
        with open(filename, 'rb') as fd:
70
            package_data, version_data, file_data = conda.inspect_conda_package(filename, fd)
71
72
        self.assertEqual(expected_package_data, package_data)
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        self.assertEqual(expected_version_data, version_data)
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        self.assertEqual(expected_file_data, file_data)
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    def test_conda_app_image(self):
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        filename = data_path('test-app-package-icon-0.1-0.tar.bz2')
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        with open(filename, 'rb') as fd:
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            package_data, version_data, file_data = conda.inspect_conda_package(filename, fd)
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        self.assertEqual(app_expected_package_data, package_data)
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        self.assertEqual(app_expected_version_data, version_data)
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if __name__ == "__main__":
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    # import sys;sys.argv = ['', 'Test.testName']
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    unittest.main()
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