/usr/share/pyshared/jsonpipe/pipe.py is in python-jsonpipe 0.0.8-5.
This file is owned by root:root, with mode 0o644.
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__all__ = ['jsonpipe', 'jsonunpipe']
def jsonpipe(obj, pathsep='/', path=()):
r"""
Generate a jsonpipe stream for the provided (parsed) JSON object.
This generator will yield output as UTF-8-encoded bytestrings line-by-line.
These lines will *not* be terminated with line ending characters.
The provided object can be as complex as you like, but it must consist only
of:
* Dictionaries (or subclasses of `dict`)
* Lists or tuples (or subclasses of the built-in types)
* Unicode Strings (`unicode`, utf-8 encoded `str`)
* Numbers (`int`, `long`, `float`)
* Booleans (`True`, `False`)
* `None`
Please note that, where applicable, *all* input must use either native
Unicode strings or UTF-8-encoded bytestrings, and all output will be UTF-8
encoded.
The simplest case is outputting JSON values (strings, numbers, booleans and
nulls):
>>> def pipe(obj): # Shim for easier demonstration.
... print '\n'.join(jsonpipe(obj))
>>> pipe(u"Hello, World!")
/ "Hello, World!"
>>> pipe(123)
/ 123
>>> pipe(0.25)
/ 0.25
>>> pipe(None)
/ null
>>> pipe(True)
/ true
>>> pipe(False)
/ false
jsonpipe always uses '/' to represent the top-level object. Dictionaries
are displayed as ``{}``, with each key shown as a sub-path:
>>> pipe({"a": 1, "b": 2})
/ {}
/a 1
/b 2
Lists are treated in much the same way, only the integer indices are used
as the keys, and the top-level list object is shown as ``[]``:
>>> pipe([1, "foo", 2, "bar"])
/ []
/0 1
/1 "foo"
/2 2
/3 "bar"
Finally, the practical benefit of using hierarchical paths is that the
syntax supports nesting of arbitrarily complex constructs:
>>> pipe([{"a": [{"b": {"c": ["foo"]}}]}])
/ []
/0 {}
/0/a []
/0/a/0 {}
/0/a/0/b {}
/0/a/0/b/c []
/0/a/0/b/c/0 "foo"
Because the sole separator of path components is a ``/`` character by
default, keys containing this character would result in ambiguous output.
Therefore, if you try to write a dictionary with a key containing the path
separator, :func:`jsonpipe` will raise a :exc:`ValueError`:
>>> pipe({"a/b": 1})
Traceback (most recent call last):
...
ValueError: Path separator '/' present in key 'a/b'
In more complex examples, some output may be written before the exception
is raised. To mitigate this problem, you can provide a custom path
separator:
>>> print '\n'.join(jsonpipe({"a/b": 1}, pathsep=':'))
: {}
:a/b 1
The path separator should be a bytestring, and you are advised to use
something you are almost certain will not be present in your dictionary
keys.
"""
def output(string):
return pathsep + pathsep.join(path) + "\t" + string
if is_value(obj):
yield output(simplejson.dumps(obj))
raise StopIteration # Stop the generator immediately.
elif isinstance(obj, dict):
yield output('{}')
iterator = obj.iteritems()
elif hasattr(obj, '__iter__'):
yield output('[]')
iterator = enumerate(obj)
else:
raise TypeError("Unsupported type for jsonpipe output: %r" %
type(obj))
for key, value in iterator:
# Check the key for sanity.
key = to_str(key)
if pathsep in key:
# In almost any case this is not what the user wants; having
# the path separator in the key would create ambiguous output
# so we should fail loudly and as quickly as possible.
raise ValueError("Path separator %r present in key %r" %
(pathsep, key))
for line in jsonpipe(value, pathsep=pathsep, path=path + (key,)):
yield line
def jsonunpipe(lines, pathsep='/', discard='',
decoder=simplejson._default_decoder):
r"""
Parse a stream of jsonpipe output back into a JSON object.
>>> def unpipe(s): # Shim for easier demonstration.
... print repr(jsonunpipe(s.strip().splitlines()))
Works as expected for simple JSON values::
>>> unpipe('/\t"abc"')
'abc'
>>> unpipe('/\t123')
123
>>> unpipe('/\t0.25')
0.25
>>> unpipe('/\tnull')
None
>>> unpipe('/\ttrue')
True
>>> unpipe('/\tfalse')
False
And likewise for more complex objects::
>>> unpipe('''
... /\t{}
... /a\t1
... /b\t2''')
{'a': 1, 'b': 2}
>>> unpipe('''
... /\t[]
... /0\t{}
... /0/a\t[]
... /0/a/0\t{}
... /0/a/0/b\t{}
... /0/a/0/b/c\t[]
... /0/a/0/b/c/0\t"foo"''')
[{'a': [{'b': {'c': ['foo']}}]}]
Any level in the path left unspecified will be assumed to be an object::
>>> unpipe('''
... /a/b/c\t123''')
{'a': {'b': {'c': 123}}}
"""
def parse_line(line):
path, json = line.rstrip().split('\t')
return path.split(pathsep)[1:], decoder.decode(json)
def getitem(obj, index):
if isinstance(obj, (list, tuple)):
return obj[int(index)]
# All non-existent keys are assumed to be an object.
if index not in obj:
obj[index] = decoder.decode('{}')
return obj[index]
def setitem(obj, index, value):
if isinstance(obj, list):
index = int(index)
if len(obj) == index:
obj.append(value)
return
obj[index] = value
output = decoder.decode('{}')
for line in lines:
path, obj = parse_line(line)
if path == ['']:
output = obj
continue
setitem(reduce(getitem, path[:-1], output), path[-1], obj)
return output
def to_str(obj):
ur"""
Coerce an object to a bytestring, utf-8-encoding if necessary.
>>> to_str("Hello World")
'Hello World'
>>> to_str(u"H\xe9llo")
'H\xc3\xa9llo'
"""
if isinstance(obj, unicode):
return obj.encode('utf-8')
elif hasattr(obj, '__unicode__'):
return unicode(obj).encode('utf-8')
return str(obj)
def is_value(obj):
"""
Determine whether an object is a simple JSON value.
The phrase 'simple JSON value' here means one of:
* String (Unicode or UTF-8-encoded bytestring)
* Number (integer or floating-point)
* Boolean
* `None`
"""
return isinstance(obj, (str, unicode, int, long, float, bool, type(None)))
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