Convert JSON to a Unix-friendly line-based format
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Re: Convert JSON to a Unix-friendly line-based format
#2Actually there is just such a suite of utilites! See https://github.com/benbernard/RecordStream
Re: Convert JSON to a Unix-friendly line-based format
#3Re: Convert JSON to a Unix-friendly line-based format
#4Re: Convert JSON to a Unix-friendly line-based format
#5"Everyone I know prefers to work with JSON over XML, but sadly there is a sore lack of utilities of the quality or depth of html-xml-utils and XMLStarlet for actually processing JSON data in an automated fashion, short of writing an ad hoc processor in your favourite programming language." Actually there is just such a suite of utilites! See https://github.com/benbernard/RecordStream
curl -s "http://feeds.delicious.com/v2/json/adulau | jsonpipe -s "#" | grep "\#u" | cut -f2 | sed -e"s/\"//g" | xargs -d"\n" wget -r -l 1 –p –-convert-links
A simple example to take a local mirror of my last del.icio.us bookmarks...Re: Convert JSON to a Unix-friendly line-based format
#6Re: Convert JSON to a Unix-friendly line-based format
#7cat foo.json | python -m json.tool
$ cat foo.json
{ foo:"bar" }
$ js -e "var doc=`cat foo.json`; print(doc.foo);"
barRe: Convert JSON to a Unix-friendly line-based format
#8a simple example
echo 'x=[1,2,3];x[1]'|js
Re: Convert JSON to a Unix-friendly line-based format
#9 import os.path as p
Renaming imports to single letters bugs me. I went to see where it's used, and it isn't. Binding pyflakes to Cmd+S in TextMate was the best thing I ever did, and it would have caught this. pyflakes is seriously awesome in that role, and pylint before committing.I'm also surprised that simplejson is used, instead of the built-in json in Python 2.6 and up. A good solution is:
try: import json
except ImportError: import simplejson as jsonRe: Convert JSON to a Unix-friendly line-based format
#10import os.path as p Renaming imports to single letters bugs me. I went to see where it's used, and it isn't. Binding pyflakes to Cmd+S in TextMate was the best thing I ever did, and it would have caught this. pyflakes is seriously awesome in that role, and pylint before committing. I'm also surprised that simplejson is used, instead of the built-in json in Python 2.6 and up. A good solution is: try: import json excep…
2.6's json lacks simplejson's C accelerators [0] which makes it roughly 20 times slower than simplejson (2.7's simplejson is also ~50% slower than simplejson, as new performance optimizations were added in 2.1.0, as well as memoizations). Simplejson is also updated more often, which lead to it having less bugs, and interesting new features (the ability to natively serialize decimals was added in 2.1 for instance)
simplejson should be the preferred import, with json as a fallback if available.
[0] 2.6's json is simplejson 1.9; 2.7's is 2.0.9; the latest release of simplejson is 2.1.3 and 2.1.4 is in preparation