Behave - Enumeration



Enumeration is used to map the multiple distinctive string based words to the values.

We may require a user-defined data type having the following characteristics −

  • A handful of words must be matched.

  • Pre-defined values prior to the test execution.

For the above scenarios, enumeration based on string can be used.

Feature File - payment.feature

Consider a feature file for the Feature titled payment process, as mentioned below −

Feature: Payment Process
Scenario: Response
      When User asks "Is payment done?"
      Then response is "No"

In the step implementation file, TypeBuilder.make_enum function evaluates a regular expression pattern for the provided enumeration of words or strings. The method register_type is used to register a user defined type that can be parsed for any type conversion at the time of matching the step.

Also, we shall pass the parameter: user-defined enum datatype enclosed in "{}".

Corresponding Step Implementation File, stepImpPayment.py

The step implementation file for the above Feature is as follows −

from behave import *
from behave import register_type
from parse_type import TypeBuilder

# -- ENUM: Yields True (for "yes"), False (for "no")
parse_response = TypeBuilder.make_enum({"yes": True, "no": False})
register_type(Response=parse_response)
@when('User asks "{q}"')
def step_question(context, q):
   print("Question is: ")
   print(q)
@then('response is "{a:Response}"')
def step_answer(context, a):
   print("Answer is: ")
   print(a)

Output

The output obtained after running the feature file is mentioned below. Here, we have used the command behave --no-capture -f plain.

(myenv) D:\behave\myenv\pythonProject>behave --no-capture -f plain
USING RUNNER: behave.runner:Runner
Feature: Payment Process

  Scenario: Response
Question is:
Is payment done?
    When User asks "Is payment done?" ... passed in 0.000s
    Then response is "No" ... undefined in 0.000s


Errored scenarios:
  features/payment.feature:2  Response

0 features passed, 0 failed, 1 error, 0 skipped
0 scenarios passed, 0 failed, 1 error, 0 skipped
1 step passed, 0 failed, 0 skipped, 1 undefined
Took 0min 0.000s

You can implement step definitions for undefined steps with these snippets:

from behave.api.pending_step import StepNotImplementedError
@then(u'response is "No"')
def step_impl(context):
    raise StepNotImplementedError(u'Then response is "No"')

The output shows Is payment done? and False. The output False comes from the enumeration data type.

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