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.
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 another jq binding which is 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}
You will need flex, bison (3.0 or newer), libtool, make, automake and autoconf to build jq. Install them by Homebrew, APT or other way.
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.
MIT License. See LICENSE.
This package includes jq and oniguruma. Their license files are included in their respective archive files.
dependencies/jq-1.5.tar.gz
dependencies/onig-6.9.0.tar.gz