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 a 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_name': 'PKG_TAG_NAME', 'param_type': None}

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 available 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 retrieved 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 download contents using urllib.request.urlopen and decode using json.decode. However, you can customize this behavior using a custom opener.

first and one are similar to to all.

first returns the first result of transformation. When there are no results, first returns None or the given default.

>>> data = {"user":"stedolan","titles":["JQ Primer", "More JQ"]}
>>> pyjq.first('{user, title: .titles[]}', data)
{'user': 'stedolan', 'title': 'JQ Primer'}
>>> pyjq.first('.titles[] | select(test("T"))', data) # returns None
>>> pyjq.first('.titles[] | select(test("T"))', data, default="Third JS")
'Third JS'

one returns the only result of a transformation. It raises an exception when there are no results or when there are two or more results.

>>> data = {"user":"stedolan","titles": ["JQ Primer", "More JQ"]}
>>> pyjq.one('.titles[] | select(test("P"))', data)
'JQ Primer'
>>> pyjq.one('.titles[] | select(test("T"))', data)
Traceback (most recent call last):
IndexError: Result of jq is empty
>>> pyjq.one('.titles[] | select(test("J"))', data)
Traceback (most recent call last):
IndexError: Result of jq have multiple elements

compile is similar to re.compile. It accepts jq script and returns an object with methods.

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

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 call json.loads from the standard library on the string, before you pass it to pyjq.

OMOTO Kenji

Released under the MIT license. See LICENSE for details.

This project uses Pipenv to manage dependencies.

Please install development tools with the following command:

pipenv install --dev -e

We can run the tests with tox.

pipenv run pytest --doctest-modules --ignore-glob='dependencies/**/*.py'

On pull request, Tox is executed in Circle CI.

When you edit _pyjq.pyx, you need to run pipenv run cython _pyjq.pyx before you run pipenv run python setup.py develop. You need to do this 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 causes a bootstrap problem in pip install.

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

MIT License. See LICENSE.

This package includes jq and oniguruma. Their license files are included in their respective archive files.

• jq: dependencies/jq-1.5.tar.gz
• oniguruma: dependencies/onig-6.9.0.tar.gz