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 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'}
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.
Copyright (c) 2014 OMOTO Kenji. Released under the MIT license. See LICENSE for details.
- Semantic versioning.
- Bundle source codes of jq and oniguruma.
- Supported Python 3.5.
- Dropped support for Python 3.2.
- Aeded
all
method.
- First release.