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Pure Python 3 JsonLogic and CertLogic implementation.

Project description

panzi-json-logic

Pure Python 3 JsonLogic and CertLogic implementation.

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 at JsonLogic.com, including examples of every supported operation and a place to try out rules in your browser.

CertLogic is a dialect of JsonLogic with slightly different semantics and operations.

There are already other JsonLogic implementations in Python, but last I looked they don't emulate all the JavaScript operator behaviors quite right and they don't implement CertLogic at all. This implementation tries to be as close to the JavaScript implementation of JsonLogic as feasible.

Installation

Install this package via pypi:

pip install panzi-json-logic

Examples

Simple

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

Note that == tries to emulate the JavaScript == operator and as such it is adviseable to rather use ===, which in this implementations simply uses Python's ==.

Compound

Here rules are nested.

jsonLogic(
  { "and" : [
    { ">" : [3, 1] },
    { "<" : [1, 3] }
  ] }
)
# True

In an infix language (like Python) this could be written as:

( (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:

jsonLogic(
  { "var" : ["a"] }, # Rule
  { a : 1, b : 2 }   # Data
)
# 1

If you like, syntactic sugar on unary operators to skip the array around values is supported:

jsonLogic(
  { "var" : "a" },
  { a : 1, b : 2 }
)
# 1

You can also use the var operator to access an array by numeric index:

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.

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.

# Always
jsonLogic(True, data_will_be_ignored)
# True

# Never
jsonLogic(False, i_wasnt_even_supposed_to_be_here)
# False

CertLogic

CertLogic is implemented in the json_logic.cert_logic sub-module:

from json_logic.cert_logic import certLogic

certLogic({
    "plusTime": [
        "2022-01-02T15:00:00+02:00",
        2,
        "day"
    ]
}).isoformat()
# '2022-01-04T15:00:00+02:00'

Custom Operations

In contrast to other JsonLogic implementations you are not supposed to manipulate the libraries dictionary of operations, but instead pass your own dictionary as optional 3rd argument to jsonLogic(). If you want to use the predefined operations you have to manually include them:

from json_logic import jsonLogic
from json_logic.builtins import BUILTINS

ops = { **BUILTINS, 'pow': lambda data, a, b: a ** b }
jsonLogic({ 'pow': [3, 2]}, None, ops)
# 9

Note that in contrast to other Python JsonLogic libraries the data as passed to the jsonLogic() function (or the context data in map/filter/reduce/all/some/none) is passed to operator functions as the first argument (you can call it self if you want to, to be consistent with the JavaScript implementation where it is the this argument).

Note that not all operations can be overwritten with the operations dictionary. In particular these operations are hard coded in because of their short circuit behavior or because they execute one operand on all the items of a list: if (alternative spelling: ?:), and, or, map, filter, reduce, all, some, none.

The certLogic() function can be called in the same way with extra operations. The CertLogic builtins can be found under json_logic.cert_logic.builtins.BUILTINS.

Extras

This library also includes some extra operators that are not part of JsonLogic. You can find them under json_logic.extras.EXTRAS. This dictionary already includes json_logic.builtins.BUILTINS. The same extras but combined with json_logic.cert_logic.builtins.BUILTINS can be found under json_logic.cert_logic.extras.EXTRAS. The CertLogic extras also include all the operations from JsonLogic that are otherwise missing from CertLogic, but with CertLogic semantics for ! and !! (i.e. empty objects are falsy in CertLogic, but truthy in JsonLogic).

now

Retrieve current time as Python datetime object in UTC.

{
    "now": []
}

Example:

from json_logic import jsonLogic
from json_logic.extras import EXTRAS
jsonLogic({"now":[]}, None, EXTRAS)
# datetime.datetime(2021, 9, 12, 0, 31, 25, 419443, tzinfo=datetime.timezone.utc)

parseTime

Parse RFC 3339 date and date-time strings. Date-time strings without an explicit time zone offset are assumed to be in UTC.

{
    "parseTime": [
        <string-or-datetime>
    ]
}

Example:

jsonLogic({"parseTime":"2022-01-02"}, None, EXTRAS)
# datetime.datetime(2022, 1, 2, 0, 0, tzinfo=datetime.timezone.utc)
jsonLogic({"parseTime":"2022-01-02T15:00:00+02:00"}, None, EXTRAS)
# datetime.datetime(2022, 1, 2, 15, 0, tzinfo=datetime.timezone(datetime.timedelta(seconds=7200)))

NOTE:

You need to use parseTime before comparing actual datetime objects with date-times provided as a string or you'll get wrong results. Assume the current time is somewhen in 2021:

jsonLogic({"<": [{"now":[]},"2022-01-02"]}, None, EXTRAS)
# False
jsonLogic({"<": [{"now":[]},{"parseTime":"2022-01-02"}]}, None, EXTRAS)
# True

However CertLogic has operators that are doing that for you:

from json_logic import certLogic
from json_logic.cert_logic.extras import EXTRAS
certLogic({"before":[{"now":[]},"2022-01-02"]}, None, EXTRAS)
# True

Note that json_logic.cert_logic.extras.EXTRAS (to get now) is used with certLogic.

timeSince

Milliseconds since given date-time.

{
    "timeSince": [
        <string-or-datetime>
    ]
}

Exmaple:

jsonLogic({"timeSince":"2021-01-02T15:00:00+02:00"}, None, EXTRAS)
# 21814538195.281

hours

Convert hours to milliseconds. Useful in combination with timeSince.

{
    "hours": [
        <number>
    ]
}

Example:

jsonLogic({"hours": 2}, None, EXTRAS)
# 7200000

days

Convert days to milliseconds. Useful in combination with timeSince.

{
    "hours": [
        <number>
    ]
}

Example:

jsonLogic({"days": 2}, None, EXTRAS)
# 172800000

combinations

Return array of arrays that represent all combinations of the elements of all the lists.

{
    "combinations": [
        <array>...
    ]
}

Example:

from json_logic import jsonLogic
from json_logic.extras import EXTRAS

jsonLogic({"combinations": [
    [1, 2, 3],
    ["a", "b", "c"],
    ["x", "y", "z"],
]}, None, EXTRAS)
# [[1, 'a'], [1, 'b'], [2, 'a'], [2, 'b']]

zip

Like Python's zip(), but returns array of arrays (instead of generator of tuples).

{
    "zip": [
        <array>...
    ]
}

Example:

jsonLogic({"zip": [
    [1, 2],
    ["a", "b"],
]}, None, EXTRAS)
# [[1, 'a'], [2, 'b']]

Remarks

There is currently one known way where this implementation differs from the JavaScript implementation of JsonLogic: The substr operator in this implementation operates on code points, but in json-logic-js it operates on UTF-16 code units. To emulate this in Python an UTF-16 encode/decode round-trip is needed in substr, and even then there are differences where Python disallows broken UTF-16, but JavaScript allows it.

But if you really want the JavaScript behavior this library provides an alternative substr implementation that does the UTF-16 round-trip. You can use it like this:

from json_logic import jsonLogic
from json_logic.builtins import BUILTINS, op_substr_utf16

result = jsonLogic(logic, data, { **BUILTINS, 'substr': op_substr_utf16 })

Credits

Some of this README is copied from json-logic-py, some of the tests are ported from json-logic-js and the JsonLogic test suite and the CertLogic test suite are included in the tests of this library.

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