##// END OF EJS Templates
move _encode_binary to jsonutil.encode_images...
move _encode_binary to jsonutil.encode_images And fix identification of PNG/JPEG data, which could be double-encoded when using a JSON library that decodes to str instead of unicode (simplejson 2.6, for instance). Changes are tested.

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test_jsonutil.py
104 lines | 3.4 KiB | text/x-python | PythonLexer
"""Test suite for our JSON utilities.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2010-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING.txt, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
# stdlib
import json
from base64 import decodestring
# third party
import nose.tools as nt
# our own
from IPython.testing import decorators as dec
from ..jsonutil import json_clean, encode_images
from ..py3compat import unicode_to_str, str_to_bytes
#-----------------------------------------------------------------------------
# Test functions
#-----------------------------------------------------------------------------
def test():
# list of input/expected output. Use None for the expected output if it
# can be the same as the input.
pairs = [(1, None), # start with scalars
(1.0, None),
('a', None),
(True, None),
(False, None),
(None, None),
# complex numbers for now just go to strings, as otherwise they
# are unserializable
(1j, '1j'),
# Containers
([1, 2], None),
((1, 2), [1, 2]),
(set([1, 2]), [1, 2]),
(dict(x=1), None),
({'x': 1, 'y':[1,2,3], '1':'int'}, None),
# More exotic objects
((x for x in range(3)), [0, 1, 2]),
(iter([1, 2]), [1, 2]),
]
for val, jval in pairs:
if jval is None:
jval = val
out = json_clean(val)
# validate our cleanup
nt.assert_equal(out, jval)
# and ensure that what we return, indeed encodes cleanly
json.loads(json.dumps(out))
@dec.parametric
def test_encode_images():
# invalid data, but the header and footer are from real files
pngdata = b'\x89PNG\r\n\x1a\nblahblahnotactuallyvalidIEND\xaeB`\x82'
jpegdata = b'\xff\xd8\xff\xe0\x00\x10JFIFblahblahjpeg(\xa0\x0f\xff\xd9'
fmt = {
'image/png' : pngdata,
'image/jpeg' : jpegdata,
}
encoded = encode_images(fmt)
for key, value in fmt.iteritems():
# encoded has unicode, want bytes
decoded = decodestring(encoded[key].encode('ascii'))
yield nt.assert_equal(decoded, value)
encoded2 = encode_images(encoded)
yield nt.assert_equal(encoded, encoded2)
b64_str = {}
for key, encoded in encoded.iteritems():
b64_str[key] = unicode_to_str(encoded)
encoded3 = encode_images(b64_str)
yield nt.assert_equal(encoded3, b64_str)
for key, value in fmt.iteritems():
# encoded3 has str, want bytes
decoded = decodestring(str_to_bytes(encoded3[key]))
yield nt.assert_equal(decoded, value)
def test_lambda():
jc = json_clean(lambda : 1)
assert isinstance(jc, str)
assert '<lambda>' in jc
json.dumps(jc)
def test_exception():
bad_dicts = [{1:'number', '1':'string'},
{True:'bool', 'True':'string'},
]
for d in bad_dicts:
nt.assert_raises(ValueError, json_clean, d)