Project: rule-engine

A lightweight, optionally typed expression language with a custom grammar for matching arbitrary Python objects.

Project Details

Latest version
4.2.0
Home Page
https://github.com/zeroSteiner/rule-engine
PyPI Page
https://pypi.org/project/rule-engine/

Project Popularity

PageRank
0.002667583613703508
Number of downloads
134298

Rule Engine

|badge-build| |badge-pypi|

A lightweight, optionally typed expression language with a custom grammar for matching arbitrary Python objects.

Documentation is available at https://zeroSteiner.github.io/rule-engine/.

Rule Engine expressions are written in their own language, defined as strings in Python. The syntax is most similar to Python with some inspiration from Ruby. Some features of this language includes:

  • Optional type hinting
  • Matching strings with regular expressions
  • Datetime datatypes
  • Compound datatypes (equivalents for Python dict, list and set types)
  • Data attributes
  • Thread safety

Example Usage

The following example demonstrates the basic usage of defining a rule object and applying it to two dictionaries, showing that one matches while the other does not. See Getting Started_ for more information.

.. code-block:: python

import rule_engine

match a literal first name and applying a regex to the email

rule = rule_engine.Rule( 'first_name == "Luke" and email =~ ".*@rebels.org$"' ) # => rule.matches({ 'first_name': 'Luke', 'last_name': 'Skywalker', 'email': 'luke@rebels.org' }) # => True rule.matches({ 'first_name': 'Darth', 'last_name': 'Vader', 'email': 'dvader@empire.net' }) # => False

The next example demonstrates the optional type system. A custom context is created that defines two symbols, one string and one float. Because symbols are defined, an exception will be raised if an unknown symbol is specified or an invalid operation is used. See Type Hinting_ for more information.

.. code-block:: python

import rule_engine

define the custom context with two symbols

context = rule_engine.Context(type_resolver=rule_engine.type_resolver_from_dict({ 'first_name': rule_engine.DataType.STRING, 'age': rule_engine.DataType.FLOAT }))

receive an error when an unknown symbol is used

rule = rule_engine.Rule('last_name == "Vader"', context=context)

=> SymbolResolutionError: last_name

receive an error when an invalid operation is used

rule = rule_engine.Rule('first_name + 1', context=context)

=> EvaluationError: data type mismatch

Want to give the rule expression language a try? Checkout the Debug REPL_ that makes experimentation easy. After installing just run python -m rule_engine.debug_repl.

Installation

Install the latest release from PyPi using pip install rule-engine. Releases follow Semantic Versioning_ to indicate in each new version whether it fixes bugs, adds features or breaks backwards compatibility. See the Change Log_ for a curated list of changes.

Credits

  • Spencer McIntyre - zeroSteiner |social-github|

License

The Rule Engine library is released under the BSD 3-Clause license. It is able to be used for both commercial and private purposes. For more information, see the LICENSE_ file.

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.. _Change Log: https://zerosteiner.github.io/rule-engine/change_log.html .. _Debug REPL: https://zerosteiner.github.io/rule-engine/debug_repl.html .. _Getting Started: https://zerosteiner.github.io/rule-engine/getting_started.html .. _LICENSE: https://github.com/zeroSteiner/rule-engine/blob/master/LICENSE .. _Semantic Versioning: https://semver.org/ .. _Type Hinting: https://zerosteiner.github.io/rule-engine/getting_started.html#type-hinting