I am scraping some JSONP dictionaries from AWS (from javascript files). After parsing the raw data for only the JSON-like data, in some cases I get a valid JSON and can successfully load this in Python (json_data = json.loads(json_like_data)
). However, some of Amazon's JSONPs do not include quotes around their keys (see the following).
...
{type:"storageCurrentGen",sizes:
[{size:"i2.xlarge",vCPU:"4",ECU:"14",memoryGiB:"30.5",storageGB:"1 x 800 SSD",valueColumns:[{name:"linux",prices:{USD:"0.938"}}]},
{size:"i2.2xlarge",vCPU:"8",ECU:"27",memoryGiB:"61",storageGB:"2 x 800 SSD",valueColumns:[{name:"linux",prices:{USD:"1.876"}}]},
{size:"i2.4xlarge",vCPU:"16",ECU:"53",memoryGiB:"122",storageGB:"4 x 800 SSD",valueColumns:[{name:"linux",prices:{USD:"3.751"}}]},
...
For JSONP, this still works as it is valid JavaScript syntax. However, Python's json.loads(json_str)
craps out as it is not valid JSON.
There is another Python module YAML which can handle unquoted keys, BUT there must be a space after the semicolons (:
).
I figure that I have two options.
{
| ,
) and a colon (:
). Then use json.loads(...)
.:
). Then parse with yaml.load(...)
.My guess is that option 2 is better than 1. However, I am seeking suggestion of a better solution.
Has anyone encountered an ill-formatted JSON such as this before and used Python to parse it?
You have an HJSON document, at which point you can use the hjson
project to parse it:
>>> import hjson
>>> hjson.loads('{javascript_style:"Look ma, no quotes!"}')
OrderedDict([('javascript_style', 'Look ma, no quotes!')])
HJSON is JSON without the requirement to quote object names and even for certain string values, with added comment support and multi-line strings, and with relaxed rules on where commas should be used (including not using commas at all).
Or you could install and use the demjson
library; it supports parsing valid JavaScript (missing quotes):
import demjson
result = demjson.decode(jsonp_payload)
Only when you set the strict=True
flag does demjson
refuse to parse your input:
>>> import demjson
>>> demjson.decode('{javascript_style:"Look ma, no quotes!"}')
{u'javascript_style': u'Look ma, no quotes!'}
>>> demjson.decode('{javascript_style:"Look ma, no quotes!"}', strict=True)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/mjpieters/Development/venvs/stackoverflow-2.7/lib/python2.7/site-packages/demjson.py", line 5701, in decode
return_stats=(return_stats or write_stats) )
File "/Users/mjpieters/Development/venvs/stackoverflow-2.7/lib/python2.7/site-packages/demjson.py", line 4917, in decode
raise errors[0]
demjson.JSONDecodeError: ('JSON does not allow identifiers to be used as strings', u'javascript_style')
Using a regular expression you can try to regex your way to valid JSON; this can lead to false positives however. The pattern would be:
import re
valid_json = re.sub(r'(?<={|,)([a-zA-Z][a-zA-Z0-9]*)(?=:)', r'"\1"', jsonp_payload)
This matches a {
or ,
, followed by a JavaScript identifier (a character, followed by more characters or digits), and followed directly by a :
colon. If your quoted values contain any such patterns, you'll get invalid JSON.
You can also do it (in this particular case) with simple Regex:
ll = '{type:"storageCurrentGen",sizes:\n[{size:"i2.xlarge",vCPU:"4",ECU:"14",memoryGiB:"30.5",storageGB:"1 x 800 SSD",valueColumns:[{name:"linux",prices:{USD:"0.938"}}]},\n{size:"i2.2xlarge",vCPU:"8",ECU:"27",memoryGiB:"61",storageGB:"2 x 800 SSD",valueColumns:[{name:"linux",prices:{USD:"1.876"}}]},\n{size:"i2.4xlarge",vCPU:"16",ECU:"53",memoryGiB:"122",storageGB:"4 x 800 SSD",valueColumns:[{name:"linux",prices:{USD:"3.751"}}]},'
ll_patched = re.sub('([{,:])(\w+)([},:])','\\1\"\\2\"\\3',ll)
>>> ll_patched
'{"type":"storageCurrentGen","sizes":\n[{"size":"i2.xlarge","vCPU":"4","ECU":"14","memoryGiB":"30.5","storageGB":"1 x 800 SSD","valueColumns":[{"name":"linux","prices":{"USD":"0.938"}}]},\n{"size":"i2.2xlarge","vCPU":"8","ECU":"27","memoryGiB":"61","storageGB":"2 x 800 SSD","valueColumns":[{"name":"linux","prices":{"USD":"1.876"}}]},\n{"size":"i2.4xlarge","vCPU":"16","ECU":"53","memoryGiB":"122","storageGB":"4 x 800 SSD","valueColumns":[{"name":"linux","prices":{"USD":"3.751"}}]},'
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