From 3b642348c7240849439a5e0901e854ffad7898f5 Mon Sep 17 00:00:00 2001
From: CindyvdVries <cindyvdvries@gmail.com>
Date: Mon, 1 Jul 2024 16:21:54 +0200
Subject: [PATCH] reduce branches (pylint)

---
 decoimpact/business/workflow/model_builder.py | 159 +++++++++---------
 1 file changed, 84 insertions(+), 75 deletions(-)

diff --git a/decoimpact/business/workflow/model_builder.py b/decoimpact/business/workflow/model_builder.py
index fc9deb2e..a174344c 100644
--- a/decoimpact/business/workflow/model_builder.py
+++ b/decoimpact/business/workflow/model_builder.py
@@ -92,82 +92,91 @@ def _set_default_fields(rule_data: IRuleData, rule: RuleBase):
 
     @staticmethod
     def _create_rule(rule_data: IRuleData) -> IRule:
-        if isinstance(rule_data, IMultiplyRuleData):
-            rule = MultiplyRule(
-                rule_data.name,
-                [rule_data.input_variable],
-                rule_data.multipliers,
-                rule_data.date_range,
-            )
-        elif isinstance(rule_data, IDepthAverageRuleData):
-            rule = DepthAverageRule(
-                rule_data.name,
-                rule_data.input_variables,
-            )
-        elif isinstance(rule_data, ILayerFilterRuleData):
-            rule = LayerFilterRule(
-                rule_data.name,
-                [rule_data.input_variable],
-                rule_data.layer_number,
-            )
-        elif isinstance(rule_data, IAxisFilterRuleData):
-            rule = AxisFilterRule(
-                rule_data.name,
-                [rule_data.input_variable],
-                rule_data.element_index,
-                rule_data.axis_name,
-            )
-        elif isinstance(rule_data, IStepFunctionRuleData):
-            rule = StepFunctionRule(
-                rule_data.name,
-                rule_data.input_variable,
-                rule_data.limits,
-                rule_data.responses,
-            )
-        elif isinstance(rule_data, ITimeAggregationRuleData):
-            rule = TimeAggregationRule(
-                rule_data.name, [rule_data.input_variable], rule_data.operation
-            )
-            rule.settings.percentile_value = rule_data.percentile_value
-            rule.settings.time_scale = rule_data.time_scale
-        elif isinstance(rule_data, IRollingStatisticsRuleData):
-            rule = RollingStatisticsRule(
-                rule_data.name, [rule_data.input_variable], rule_data.operation
-            )
-            rule.settings.percentile_value = rule_data.percentile_value
-            rule.settings.time_scale = rule_data.time_scale
-            rule.period = rule_data.period
-        elif isinstance(rule_data, ICombineResultsRuleData):
-            rule = CombineResultsRule(
-                rule_data.name,
-                rule_data.input_variable_names,
-                MultiArrayOperationType[rule_data.operation_type],
-            )
-        elif isinstance(rule_data, IResponseCurveRuleData):
-            rule = ResponseCurveRule(
-                rule_data.name,
-                rule_data.input_variable,
-                rule_data.input_values,
-                rule_data.output_values,
-            )
-        elif isinstance(rule_data, IFormulaRuleData):
-            rule = FormulaRule(
-                rule_data.name,
-                rule_data.input_variable_names,
-                rule_data.formula,
-            )
-        elif isinstance(rule_data, IClassificationRuleData):
-            rule = ClassificationRule(
-                rule_data.name, rule_data.input_variable_names, rule_data.criteria_table
-            )
-        else:
-            error_str = (
-                f"The rule type of rule '{rule_data.name}' is currently "
-                "not implemented"
-            )
-            raise NotImplementedError(error_str)
+
+        match rule_data:
+            case IMultiplyRuleData():
+                rule = MultiplyRule(
+                    rule_data.name,
+                    [rule_data.input_variable],
+                    rule_data.multipliers,
+                    rule_data.date_range,
+                )
+            case IDepthAverageRuleData():
+                rule = DepthAverageRule(
+                    rule_data.name,
+                    rule_data.input_variables,
+                )
+            case ILayerFilterRuleData():
+                rule = LayerFilterRule(
+                    rule_data.name,
+                    [rule_data.input_variable],
+                    rule_data.layer_number,
+                )
+            case IAxisFilterRuleData():
+                rule = AxisFilterRule(
+                    rule_data.name,
+                    [rule_data.input_variable],
+                    rule_data.element_index,
+                    rule_data.axis_name,
+                )
+            case IStepFunctionRuleData():
+                rule = StepFunctionRule(
+                    rule_data.name,
+                    rule_data.input_variable,
+                    rule_data.limits,
+                    rule_data.responses,
+                )
+            case ITimeAggregationRuleData():
+                rule = TimeAggregationRule(
+                    rule_data.name, [rule_data.input_variable], rule_data.operation
+                )
+                rule.settings.percentile_value = rule_data.percentile_value
+                rule.settings.time_scale = rule_data.time_scale
+
+            case IRollingStatisticsRuleData():
+                rule = RollingStatisticsRule(
+                    rule_data.name, [rule_data.input_variable], rule_data.operation
+                )
+                rule.settings.percentile_value = rule_data.percentile_value
+                rule.settings.time_scale = rule_data.time_scale
+                rule.period = rule_data.period
+
+            case ICombineResultsRuleData():
+                rule = CombineResultsRule(
+                    rule_data.name,
+                    rule_data.input_variable_names,
+                    MultiArrayOperationType[rule_data.operation_type],
+                )
+
+            case IResponseCurveRuleData():
+                rule = ResponseCurveRule(
+                    rule_data.name,
+                    rule_data.input_variable,
+                    rule_data.input_values,
+                    rule_data.output_values,
+                )
+
+            case IFormulaRuleData():
+                rule = FormulaRule(
+                    rule_data.name,
+                    rule_data.input_variable_names,
+                    rule_data.formula,
+                )
+
+            case IClassificationRuleData():
+                rule = ClassificationRule(
+                    rule_data.name,
+                    rule_data.input_variable_names,
+                    rule_data.criteria_table
+                )
+
+            case _:
+                error_str = (
+                    f"The rule type of rule '{rule_data.name}' is currently "
+                    "not implemented"
+                )
+                raise NotImplementedError(error_str)
 
         if isinstance(rule, RuleBase):
             ModelBuilder._set_default_fields(rule_data, rule)
-
         return rule