pygating 1.0.3

A small package for creating and using configurations to control code flow

PyGating

PyGating is a small but simple python library that enables you to quickly introduce a/b testing, control code flow, and introduce control switches to your codebase that can be controlled via both code and json-based configs.

PyGating supports entity-based checks, allowing you to define in the gating configuration exactly the properties, functions, and/or keys the gate will check based on a entity you will pass in at check time.

Check out the respository here for more information and documentation

Features

• Extensible Framework: Create custom gates by extending base gate classes.
• Entity-based gates: Define gate configurations based on entity properties/functions to make gates dynamic
• Consistant Hashing: Entity-based gate checks will pass/fail consistently based on property hashing
• JSON Configuration: Supports gate configuration defined in json so that you can pull gates configs from databases
• Predefined Gates: Includes DateGate, PercentageGate, RandomGate, InclusionGate, and more.
• Custom Gate Configurations: Combine gates to create complex gating logic.

Quick Usage Example

This example will only permit 10% of entities/code invocations to continue.

We can use either a RandomGate for pure 10% random chance or a PercentageGate for a consistant result based on the passed entity

• Initialize Pygating Library and imports

from pygating import PyGating
from pygating.gating_configurations import GatingConfigurationAll
from pygating.gates import PercentageGate

PyGating.init() # only needs to be done once in the application

• Define a gate config (code or json):

Code-based config

gate_config = GatingConfigurationAll(
    fail_closed=True, #if an exception is thrown, the gate check returns False
    gates=[
        PercentageGate(percentage=10, allow=True, entity_property="id") # 10% of entities passed into the gate check will pass based on their id field 
    ]
)

or

Json-based config

gate_config = {
    "type": "GatingConfigurationAll",
    "fail_closed": True,
    "gates": [
        {
            "type": "PercentageGate",
            "percentage": 10.0,
            "allow": True,
            "entity_property": "id"
        }
    ]
}

• Use gate in your code:

class Entity:
    def __init__(self, id: str):
        self.id = id

example_entity = Entity(id="dfa2oi1nrffvnoivwe")

if PyGating.check_gating(gate_config, entity=entity):
    print("Gate passed!") # Will pass for 10% of entity ids, and will be consistent for the same ids
else:
    print("Gate Failed")

Installation

pip install pygating