I have thousands of text files containing multiple JSON objects, but unfortunately there is no delimiter between the objects. Objects are stored as dictionaries and some of
How about something like this:
import re
import json
jsonstr = open('test.json').read()
p = re.compile( '}\s*{' )
jsonstr = p.sub( '}\n{', jsonstr )
jsonarr = jsonstr.split( '\n' )
for jsonstr in jsonarr:
jsonobj = json.loads( jsonstr )
print json.dumps( jsonobj )
import json
file1 = open('filepath', 'r')
data = file1.readlines()
for line in data :
values = json.loads(line)
'''Now you can access all the objects using values.get('key') '''
As far as I know }{
does not appear in valid JSON, so the following should be perfectly safe when trying to get strings for separate objects that were concatenated (txt
is the content of your file). It does not require any import (even of re
module) to do that:
retrieved_strings = map(lambda x: '{'+x+'}', txt.strip('{}').split('}{'))
or if you prefer list comprehensions (as David Zwicker mentioned in the comments), you can use it like that:
retrieved_strings = ['{'+x+'}' for x in txt.strip('{}').split('}{'))]
It will result in retrieved_strings
being a list of strings, each containing separate JSON object. See proof here: http://ideone.com/Purpb
The following string:
'{field1:"a",field2:"b"}{field1:"c",field2:"d"}{field1:"e",field2:"f"}'
will be turned into:
['{field1:"a",field2:"b"}', '{field1:"c",field2:"d"}', '{field1:"e",field2:"f"}']
as proven in the example I mentioned.
Suppose you added a [ to the start of the text in a file, and used a version of json.load() which, when it detected the error of finding a { instead of an expected comma (or hits the end of the file), spit out the just-completed object?
Sebastian Blask has the right idea, but there's no reason to use regexes for such a simple change.
objs = json.loads("[%s]"%(open('your_file.name').read().replace('}{', '},{')))
Or, more legibly
raw_objs_string = open('your_file.name').read() #read in raw data
raw_objs_string = raw_objs_string.replace('}{', '},{') #insert a comma between each object
objs_string = '[%s]'%(raw_objs_string) #wrap in a list, to make valid json
objs = json.loads(objs_string) #parse json
This decodes your "list" of JSON Objects from a string:
from json import JSONDecoder
def loads_invalid_obj_list(s):
decoder = JSONDecoder()
s_len = len(s)
objs = []
end = 0
while end != s_len:
obj, end = decoder.raw_decode(s, idx=end)
objs.append(obj)
return objs
The bonus here is that you play nice with the parser. Hence it keeps telling you exactly where it found an error.
Examples
>>> loads_invalid_obj_list('{}{}')
[{}, {}]
>>> loads_invalid_obj_list('{}{\n}{')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "decode.py", line 9, in loads_invalid_obj_list
obj, end = decoder.raw_decode(s, idx=end)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 376, in raw_decode
obj, end = self.scan_once(s, idx)
ValueError: Expecting object: line 2 column 2 (char 5)
import json
import re
#shameless copy paste from json/decoder.py
FLAGS = re.VERBOSE | re.MULTILINE | re.DOTALL
WHITESPACE = re.compile(r'[ \t\n\r]*', FLAGS)
class ConcatJSONDecoder(json.JSONDecoder):
def decode(self, s, _w=WHITESPACE.match):
s_len = len(s)
objs = []
end = 0
while end != s_len:
obj, end = self.raw_decode(s, idx=_w(s, end).end())
end = _w(s, end).end()
objs.append(obj)
return objs
Examples
>>> print json.loads('{}', cls=ConcatJSONDecoder)
[{}]
>>> print json.load(open('file'), cls=ConcatJSONDecoder)
[{}]
>>> print json.loads('{}{} {', cls=ConcatJSONDecoder)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 339, in loads
return cls(encoding=encoding, **kw).decode(s)
File "decode.py", line 15, in decode
obj, end = self.raw_decode(s, idx=_w(s, end).end())
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 376, in raw_decode
obj, end = self.scan_once(s, idx)
ValueError: Expecting object: line 1 column 5 (char 5)