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# coding=utf-8 |
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import pytest |
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from decision_engine.comparisons import GreaterThanOrEqual, Equal, \ |
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LessThanOrEqual |
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from decision_engine.engine import Engine |
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from decision_engine.rules import SimpleComparisonRule, BooleanAndRule |
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from decision_engine.sources import DictSource, FixedValueSource, \ |
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PercentageSource |
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def test_single_stupid_rule_engine(): |
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hundred = FixedValueSource(100) |
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five_thousand = FixedValueSource(5000) |
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rule = SimpleComparisonRule(five_thousand, hundred, GreaterThanOrEqual()) |
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engine = Engine([rule]) |
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data = {} |
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assert engine.decide(data) is True |
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assert engine.__repr__() == f"Name: '{engine.name}' | " \ |
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f"rules: {[r.name for r in engine.rules]}" |
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@pytest.mark.parametrize("salary, expected", [ |
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(100000, True), |
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(10000, False) |
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]) |
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def test_single_rule_engine(salary, expected): |
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salary_percentage = PercentageSource(0.75, DictSource('salary')) |
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minimum_salary = FixedValueSource(50000) |
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rule = SimpleComparisonRule(salary_percentage, minimum_salary, |
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GreaterThanOrEqual()) |
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engine = Engine([rule]) |
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data = { |
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'salary': salary |
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} |
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assert engine.decide(data) == expected |
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@pytest.mark.parametrize("air_miles, land_miles, age, vip, expected", [ |
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(5000, 1000, 37, 'yes', True), |
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(1500, 1000, 37, 'yes', False), |
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(5000, 5001, 37, 'yes', False), |
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(5000, 1000, 16, 'yes', False), |
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(5000, 1000, 70, 'yes', False), |
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(5000, 1000, 37, 'no', False), |
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(100, 50, 15, 'no', False) |
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]) |
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def test_multiple_rules_engine(air_miles, land_miles, age, vip, expected): |
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air_miles_source = DictSource('air_miles') |
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minimum_miles_source = FixedValueSource(3500) |
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minimum_air_miles_rule = SimpleComparisonRule(air_miles_source, |
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minimum_miles_source, |
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GreaterThanOrEqual()) |
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land_miles_source = DictSource('land_miles') |
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less_land_than_air_miles_rule = SimpleComparisonRule(land_miles_source, |
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air_miles_source, |
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LessThanOrEqual()) |
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air_miles_percentage = PercentageSource(0.05, air_miles_source) |
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air_miles_percentage_rule = SimpleComparisonRule(land_miles_source, |
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air_miles_percentage, |
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GreaterThanOrEqual()) |
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air_and_land_miles_rule = BooleanAndRule([minimum_air_miles_rule, |
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less_land_than_air_miles_rule, |
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air_miles_percentage_rule]) |
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age_source = DictSource('age') |
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minimum_age_source = FixedValueSource(21) |
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minimum_age_rule = SimpleComparisonRule(age_source, minimum_age_source, |
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GreaterThanOrEqual()) |
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maximum_age_source = FixedValueSource(65) |
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maximum_age_rule = SimpleComparisonRule(age_source, maximum_age_source, |
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LessThanOrEqual()) |
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vip_status_source = DictSource('vip') |
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positive_vip_status = FixedValueSource('yes') |
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vip_status_rule = SimpleComparisonRule(vip_status_source, |
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positive_vip_status, |
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Equal()) |
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engine = Engine([ |
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air_and_land_miles_rule, |
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minimum_age_rule, |
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maximum_age_rule, |
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vip_status_rule |
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]) |
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data = { |
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'air_miles': air_miles, |
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'land_miles': land_miles, |
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'age': age, |
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'vip': vip |
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} |
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assert engine.decide(data) == expected |
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borfast /
decision-engine
