pyjq is a Python bindings for jq (http://stedolan.github.io/jq/).

jq is like sed for JSON data – you can use it to slice and filter and map and transform structured data with the same ease that sed, awk, grep and friends let you play with text.

http://stedolan.github.io/jq/

You can seamlessly call jq script (like regular expression) and process plain python data structure.

For your information, https://pypi.python.org/pypi/jq is a also jq bindings but different and incompatible with pyjq.

>>> data = dict(
...     parameters= [
...         dict(name="PKG_TAG_NAME", value="trunk"),
...         dict(name="GIT_COMMIT", value="master"),
...         dict(name="TRIGGERED_JOB", value="trunk-buildall")
...     ],
...     id="2013-12-27_00-09-37",
...     changeSet=dict(items=[], kind="git"),
... )
>>> import pyjq
>>> pyjq.first('.parameters[] | {"param_name": .name, "param_type":.type}', data)
{'param_type': None, 'param_name': 'PKG_TAG_NAME'}

It requires build tools such as make, automake, libtool, etc...

You can install from PyPI by usual way.

pip install pyjq

For jq script, see its manual.

Only four APIs are provided:

• all
• first
• one
• compile

all transforms a value by JSON script and returns all results as a list.

>>> value = {"user":"stedolan","titles":["JQ Primer", "More JQ"]}
>>> pyjq.all('{user, title: .titles[]}', value)
[{'user': 'stedolan', 'title': 'JQ Primer'}, {'user': 'stedolan', 'title': 'More JQ'}]

all takes an optional argument vars. vars is a dictonary of predefined variables for script. The values in vars are avaiable in the script as a $key. That is, vars works like --arg option and --argjson option of jq command.

>>> pyjq.all('{user, title: .titles[]} | select(.title == $title)', value, vars={"title": "More JQ"})
[{'user': 'stedolan', 'title': 'More JQ'}]

all takes an optional argument url. If url is given, the subject of transformation is got from the url.

>> pyjq.all(".[] | .login", url="https://api.github.com/repos/stedolan/jq/contributors") # get all contributors of jq
['nicowilliams', 'stedolan', 'dtolnay', ...

Additionally, all takes an optional argument opener. The default opener will simply download contents by urllib.request.urlopen and decode by json.decode. However, you can customize this behavior using custom opener.

first is almost some to all but it first returns the first result of transformation.

>>> value = {"user":"stedolan","titles":["JQ Primer", "More JQ"]}
>>> pyjq.all('{user, title: .titles[]}', value)
[{'user': 'stedolan', 'title': 'JQ Primer'}, {'user': 'stedolan', 'title': 'More JQ'}]

first returns default when there are no results.

>>> value = {"user":"stedolan","titles":["JQ Primer", "More JQ"]}
>>> pyjq.first('.titles[] | select(test("e"))', value) # The first title which is contains "e"
'JQ Primer'

first returns the first result of transformation. It returns default when there are no results.

>>> value = {"user":"stedolan","titles":["JQ Primer", "More JQ"]}
>>> pyjq.first('.titles[] | select(test("T"))', value, "Third JS") # The first title which is contains "T"
'Third JS'

one do also returns the first result of transformation but raise Exception if there are no results.

>>> value = {"user":"stedolan","titles":["JQ Primer", "More JQ"]}
>>> pyjq.one('.titles[] | select(test("T"))', value)
IndexError: Result of jq is empty

jq is a JSON Processor. Therefore pyjq is able to process only "JSON compatible" data (object made only from str, int, float, list, dict).

You should apply json.loads in the standard library before pass to pyjq.

OMOTO Kenji

Released under the MIT license. See LICENSE for details.

When you edit _pyjq.pyx, you need to run cython _pyjq.pyx before to run python setup.py develop. It is because setup.py in this project does not compile .pyx to .c.

Of course, we can use Cython.Build.cythonize in setup.py to automatically compile .pyx to .c . But, it cause bootstrap problem in pip install.

So, we DO commit both of _pyjq.pyx and _pyjq.c.

• API's translate JS object not to dict but to collections.OrderedDict.

• Semantic versioning.
• Bundle source codes of jq and oniguruma.
• Supported Python 3.5.
• Dropped support for Python 3.2.
• Aeded all method.

• First release.