def test_mixture_of_resource_types(self):
"""
Test with a mixture of additional and individual resources
"""
data = {
'resources': [
{'description': 'Description 1', 'url': 'Url1', 'resource_type': 'documentation'},
{'description': 'Description 2', 'url': 'Url2', 'resource_type': 'api'},
{'description': 'Description 3', 'url': 'Url3', 'resource_type': 'file'},
{'description': 'Description 4', 'url': 'Url4', 'resource_type': 'documentation'}
]
}
flattened_data = flatten_dict(data)
ignored = {}
errors = dict([(k, []) for k in flattened_data.keys()])
unmerge_resources(('__after',), flattened_data, errors, ignored)
result_data = unflatten(flattened_data)
expected_data = {
'additional_resources': [
{'description': 'Description 1', 'url': 'Url1', 'resource_type': 'documentation'},
{'description': 'Description 4', 'url': 'Url4', 'resource_type': 'documentation'}
],
'individual_resources': [
{'description': 'Description 2', 'url': 'Url2', 'resource_type': 'api'},
{'description': 'Description 3', 'url': 'Url3', 'resource_type': 'file'},
]
}
expected_data.update(data)
assert_equal(result_data, expected_data)
def test_just_additional_resources(self):
"""
Tests with just one set of additional resources defined.
"""
data = {
'resources': [
{'description': 'Description 1', 'url': 'Url1', 'resource_type': 'documentation'},
{'description': 'Description 2', 'url': 'Url2', 'resource_type': 'documentation'}
]
}
flattened_data = flatten_dict(data)
ignored = {}
errors = dict([(k, []) for k in flattened_data.keys()])
unmerge_resources(('__after',), flattened_data, errors, ignored)
result_data = unflatten(flattened_data)
expected_data = {
'additional_resources': [
{'description': 'Description 1', 'url': 'Url1', 'resource_type': 'documentation'},
{'description': 'Description 2', 'url': 'Url2', 'resource_type': 'documentation'}
]
}
expected_data.update(data)
assert_equal(result_data, expected_data)
def test_mixture_of_resource_types(self):
"""
Test with a mixture of additional and individual resources
"""
data = {
'resources': [
{'description': 'Description 1', 'url': 'Url1', 'resource_type': 'documentation'},
{'description': 'Description 2', 'url': 'Url2', 'resource_type': 'api'},
{'description': 'Description 3', 'url': 'Url3', 'resource_type': 'file'},
{'description': 'Description 4', 'url': 'Url4', 'resource_type': 'documentation'}
]
}
flattened_data = flatten_dict(data)
ignored = {}
errors = dict([(k, []) for k in flattened_data.keys()])
unmerge_resources(('__after',), flattened_data, errors, ignored)
result_data = unflatten(flattened_data)
expected_data = {
'additional_resources': [
{'description': 'Description 1', 'url': 'Url1', 'resource_type': 'documentation'},
{'description': 'Description 4', 'url': 'Url4', 'resource_type': 'documentation'}
],
'individual_resources': [
{'description': 'Description 2', 'url': 'Url2', 'resource_type': 'api'},
{'description': 'Description 3', 'url': 'Url3', 'resource_type': 'file'},
]
}
expected_data.update(data)
assert_equal(result_data, expected_data)
def test_just_additional_resources(self):
"""
Tests with just one set of additional resources defined.
"""
data = {
'resources': [
{'description': 'Description 1', 'url': 'Url1', 'resource_type': 'documentation'},
{'description': 'Description 2', 'url': 'Url2', 'resource_type': 'documentation'}
]
}
flattened_data = flatten_dict(data)
ignored = {}
errors = dict([(k, []) for k in flattened_data.keys()])
unmerge_resources(('__after',), flattened_data, errors, ignored)
result_data = unflatten(flattened_data)
expected_data = {
'additional_resources': [
{'description': 'Description 1', 'url': 'Url1', 'resource_type': 'documentation'},
{'description': 'Description 2', 'url': 'Url2', 'resource_type': 'documentation'}
]
}
expected_data.update(data)
assert_equal(result_data, expected_data)
def test_mixture_of_resource_types(self):
"""
Test with a mixture of additional and individual resources
"""
data = {
"resources": [
{"description": "Description 1", "url": "Url1", "resource_type": "documentation"},
{"description": "Description 2", "url": "Url2", "resource_type": "api"},
{"description": "Description 3", "url": "Url3", "resource_type": "file"},
{"description": "Description 4", "url": "Url4", "resource_type": "documentation"},
]
}
flattened_data = flatten_dict(data)
ignored = {}
errors = dict([(k, []) for k in flattened_data.keys()])
unmerge_resources(("__after",), flattened_data, errors, ignored)
result_data = unflatten(flattened_data)
expected_data = {
"additional_resources": [
{"description": "Description 1", "url": "Url1", "resource_type": "documentation"},
{"description": "Description 4", "url": "Url4", "resource_type": "documentation"},
],
"individual_resources": [
{"description": "Description 2", "url": "Url2", "resource_type": "api"},
{"description": "Description 3", "url": "Url3", "resource_type": "file"},
],
}
expected_data.update(data)
assert_equal(result_data, expected_data)
def test_just_individual_resources(self):
"""
Tests with just one set of individual resources defined.
"""
data = {
"resources": [
{"description": "Description 1", "url": "Url1", "resource_type": "api", "date": ""},
{"description": "Description 2", "url": "Url2", "resource_type": "api"},
]
}
flattened_data = flatten_dict(data)
ignored = {}
errors = dict([(k, []) for k in flattened_data.keys()])
unmerge_resources(("__after",), flattened_data, errors, ignored)
result_data = unflatten(flattened_data)
expected_data = {
"individual_resources": [
{"description": "Description 1", "url": "Url1", "resource_type": "api", "date": ""},
{"description": "Description 2", "url": "Url2", "resource_type": "api"},
]
}
expected_data.update(data)
assert_equal(result_data, expected_data)
def test_error_keys_are_unmerged(self):
"""
Test that the items in errors are unmerged too.
Note - errors may contain key values not present in the data
"""
data = {
'resources': [
# additional resources
{'description': 'Additional 1', 'url': 'A_Url 1', 'resource_type': 'documentation'},
{'description': 'Additional 2', 'url': 'A_Url 2', 'resource_type': 'documentation'},
# individual resources
{'description': 'Individual 1', 'url': 'I_Url 1', 'resource_type': 'api'},
{'description': 'Individual 2', 'url': 'I_Url 2', 'resource_type': 'api'},
{'description': 'Individual 3', 'url': 'I_Url 3', 'resource_type': 'api'},
],
}
flattened_data = flatten_dict(data)
errors = dict([(k, []) for k in flattened_data.keys()])
# Add some extra fields into errors
errors[('resources', 0, 'foo')] = []
errors[('resources', 1, 'foo')] = []
errors[('resources', 2, 'foo')] = []
errors[('resources', 3, 'foo')] = []
errors[('resources', 4, 'foo')] = []
ignored = {}
unmerge_resources(('__after',), flattened_data, errors, ignored)
result_errors = unflatten(errors)
expected_errors = {
'additional_resources': [
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
],
'individual_resources': [
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
]
}
assert_equal(result_errors, expected_errors)
def test_error_keys_are_unmerged(self):
"""
Test that the items in errors are unmerged too.
Note - errors may contain key values not present in the data
"""
data = {
'resources': [
# additional resources
{'description': 'Additional 1', 'url': 'A_Url 1', 'resource_type': 'documentation'},
{'description': 'Additional 2', 'url': 'A_Url 2', 'resource_type': 'documentation'},
# individual resources
{'description': 'Individual 1', 'url': 'I_Url 1', 'resource_type': 'api'},
{'description': 'Individual 2', 'url': 'I_Url 2', 'resource_type': 'api'},
{'description': 'Individual 3', 'url': 'I_Url 3', 'resource_type': 'api'},
],
}
flattened_data = flatten_dict(data)
errors = dict([(k, []) for k in flattened_data.keys()])
# Add some extra fields into errors
errors[('resources', 0, 'foo')] = []
errors[('resources', 1, 'foo')] = []
errors[('resources', 2, 'foo')] = []
errors[('resources', 3, 'foo')] = []
errors[('resources', 4, 'foo')] = []
ignored = {}
unmerge_resources(('__after',), flattened_data, errors, ignored)
result_errors = unflatten(errors)
expected_errors = {
'additional_resources': [
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
],
'individual_resources': [
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
{'description': [], 'url': [], 'resource_type': [], 'foo': []},
]
}
assert_equal(result_errors, expected_errors)
def test_just_timeseries_resources(self):
"""
Tests with just one set of timeseries resources defined.
"""
data = {
'resources': [
{
'description': 'Description 1',
'url': 'Url1',
'resource_type': 'api',
'date': '2011-12-25',
},
{
'description': 'Description 2',
'url': 'Url2',
'resource_type': 'api',
'date': '2011-11-25'
},
]
}
flattened_data = flatten_dict(data)
ignored = {}
errors = dict([(k, []) for k in flattened_data.keys()])
unmerge_resources(('__after', ), flattened_data, errors, ignored)
result_data = unflatten(flattened_data)
expected_data = {
'timeseries_resources': [{
'description': 'Description 1',
'url': 'Url1',
'resource_type': 'api',
'date': '2011-12-25'
}, {
'description': 'Description 2',
'url': 'Url2',
'resource_type': 'api',
'date': '2011-11-25'
}]
}
expected_data.update(data)
assert_equal(result_data, expected_data)
def test_error_keys_are_unmerged(self):
"""
Test that the items in errors are unmerged too.
Note - errors may contain key values not present in the data
"""
data = {
"resources": [
# additional resources
{"description": "Additional 1", "url": "A_Url 1", "resource_type": "documentation"},
{"description": "Additional 2", "url": "A_Url 2", "resource_type": "documentation"},
# individual resources
{"description": "Individual 1", "url": "I_Url 1", "resource_type": "api"},
{"description": "Individual 2", "url": "I_Url 2", "resource_type": "api"},
{"description": "Individual 3", "url": "I_Url 3", "resource_type": "api"},
]
}
flattened_data = flatten_dict(data)
errors = dict([(k, []) for k in flattened_data.keys()])
# Add some extra fields into errors
errors[("resources", 0, "foo")] = []
errors[("resources", 1, "foo")] = []
errors[("resources", 2, "foo")] = []
errors[("resources", 3, "foo")] = []
errors[("resources", 4, "foo")] = []
ignored = {}
unmerge_resources(("__after",), flattened_data, errors, ignored)
result_errors = unflatten(errors)
expected_errors = {
"additional_resources": [
{"description": [], "url": [], "resource_type": [], "foo": []},
{"description": [], "url": [], "resource_type": [], "foo": []},
],
"individual_resources": [
{"description": [], "url": [], "resource_type": [], "foo": []},
{"description": [], "url": [], "resource_type": [], "foo": []},
{"description": [], "url": [], "resource_type": [], "foo": []},
],
}
assert_equal(result_errors, expected_errors)
def test_just_timeseries_resources(self):
"""
Tests with just one set of timeseries resources defined.
"""
data = {
'resources': [
{'description': 'Description 1',
'url': 'Url1',
'resource_type': 'api',
'date': '2011-12-25',},
{'description': 'Description 2',
'url': 'Url2',
'resource_type': 'api',
'date': '2011-11-25'},
]
}
flattened_data = flatten_dict(data)
ignored = {}
errors = dict([(k, []) for k in flattened_data.keys()])
unmerge_resources(('__after',), flattened_data, errors, ignored)
result_data = unflatten(flattened_data)
expected_data = {
'timeseries_resources': [
{'description': 'Description 1',
'url': 'Url1',
'resource_type': 'api',
'date': '2011-12-25'},
{'description': 'Description 2',
'url': 'Url2',
'resource_type': 'api',
'date': '2011-11-25'}
]
}
expected_data.update(data)
assert_equal(result_data, expected_data)