json-logic-py
This parser accepts JsonLogic <http://jsonlogic.com>
__ rules and
executes them in Python.
This is a Python porting of the excellent GitHub project by
jwadhams <https://github.com/jwadhams>
__ for JavaScript:
json-logic-js <https://github.com/jwadhams/json-logic-js>
__.
All credit goes to him, this is simply an implementation of the same
logic in Python (small differences below).
The JsonLogic format is designed to allow you to share rules (logic)
between front-end and back-end code (regardless of language difference),
even to store logic along with a record in a database. JsonLogic is
documented extensively at JsonLogic.com <http://jsonlogic.com>
,
including examples of every supported operation <http://jsonlogic.com/operations.html>
and a place to try out rules in your browser <http://jsonlogic.com/play.html>
__.
The same format can also be executed in PHP by the library
json-logic-php <https://github.com/jwadhams/json-logic-php/>
__
Examples
Simple
.. code:: python
from json_logic import jsonLogic
jsonLogic( { "==" : [1, 1] } )
# True
This is a simple test, equivalent to ``1 == 1``. A few things about the
format:
1. The operator is always in the "key" position. There is only one key
per JsonLogic rule.
2. The values are typically an array.
3. Each value can be a string, number, boolean, array (non-associative),
or null
Compound
Here we're beginning to nest rules.
.. code:: python
jsonLogic(
{"and" : [
{ ">" : [3,1] },
{ "<" : [1,3] }
] }
)
# True
In an infix language (like Python) this could be written as:
.. code:: python
( (3 > 1) and (1 < 3) )
Data-Driven
Obviously these rules aren't very interesting if they can only take
static literal data. Typically ``jsonLogic`` will be called with a rule
object and a data object. You can use the ``var`` operator to get
attributes of the data object:
.. code:: python
jsonLogic(
{ "var" : ["a"] }, # Rule
{ a : 1, b : 2 } # Data
)
# 1
If you like, we support `syntactic
sugar <https://en.wikipedia.org/wiki/Syntactic_sugar>`__ on unary
operators to skip the array around values:
.. code:: python
jsonLogic(
{ "var" : "a" },
{ a : 1, b : 2 }
)
# 1
You can also use the ``var`` operator to access an array by numeric
index:
.. code:: python
jsonLogic(
{"var" : 1 },
[ "apple", "banana", "carrot" ]
)
# "banana"
Here's a complex rule that mixes literals and data. The pie isn't ready
to eat unless it's cooler than 110 degrees, *and* filled with apples.
.. code:: python
rules = { "and" : [
{"<" : [ { "var" : "temp" }, 110 ]},
{"==" : [ { "var" : "pie.filling" }, "apple" ] }
] }
data = { "temp" : 100, "pie" : { "filling" : "apple" } }
jsonLogic(rules, data)
# True
Always and Never
Sometimes the rule you want to process is "Always" or "Never." If the
first parameter passed to jsonLogic
is a non-object,
non-associative-array, it is returned immediately.
.. code:: python
#Always
jsonLogic(True, data_will_be_ignored);
# True
#Never
jsonLogic(false, i_wasnt_even_supposed_to_be_here);
# False
Installation
The best way to install this library is via
PIP <https://pypi.python.org/pypi/>
__:
.. code:: bash
pip install json-logic
If that doesn't suit you, and you want to manage updates yourself, the
entire library is self-contained in json_logic.py
and you can
download it straight into your project as you see fit.
.. code:: bash
curl -O https://raw.githubusercontent.com/nadirizr/json-logic-py/master/json_logic.py
Differences from the original JavaScript version <https://github.com/jwadhams/json-logic-js>
__
The only difference is in the straightforward '==' and '===' comparison
operators, since they have different expected behavior in Python than in
JavaScript.
In JS: * '==' - Performs type coercion and compares. * '===' - Does
not perform type coercion.
In Python: * '==' - Does not perform type coercion, compares using
Pyton's eq operator. * '===' - Does not perform type coercion,
compares using Python's 'is' operator.