style(lint): auto prettifier

docs/create_rules.md

@@ -39,11 +39,10 @@ from dbt_score import rule, Severity
 @rule(severity=Severity.HIGH)
 ```
 
-If a custom rule should be applied to only a subset of the models in the project,
-a special value of type `SkipRule` can be returned.
-Models that were skipped will be ignored in the final score.
-More complex uses of skipping rules can use Model Filters (see below).
-
+If a custom rule should be applied to only a subset of the models in the
+project, a special value of type `SkipRule` can be returned. Models that were
+skipped will be ignored in the final score. More complex uses of skipping rules
+can use Model Filters (see below).
 
 ```python
 from dbt_score import rule, Model, RuleViolation, SkipRule
@@ -111,14 +110,13 @@ def sql_has_reasonable_number_of_lines(model: Model, max_lines: int = 200) -> Ru
 
 ### Filtering models
 
-Custom and standard rules can be configured to have model filters.
-Filters allows setting models of the project to be ignored by a given rule.
+Custom and standard rules can be configured to have model filters. Filters
+allows setting models of the project to be ignored by a given rule.
 
-Filters are created using the same discovery mechanism and interface as custom rules,
-except they do not accept parameters.
-Similar to Python's built-in `filter` function,
-when the filter evaluation returns `True` the model should be evaluated,
-otherwise it should be skipped.
+Filters are created using the same discovery mechanism and interface as custom
+rules, except they do not accept parameters. Similar to Python's built-in
+`filter` function, when the filter evaluation returns `True` the model should be
+evaluated, otherwise it should be skipped.
 
 ```python
 from dbt_score import ModelFilter, model_filter
@@ -134,8 +132,7 @@ class SkipSchemaY(ModelFilter):
       return model.schema.lower() != 'y'
 ```
 
-Similar to setting a rule severity,
-standard rules can have filters set in the
+Similar to setting a rule severity, standard rules can have filters set in the
 [configuration file](configuration.md/#tooldbt-scorerulesrule_namespacerule_name),
 while custom rules accept the configuration file or a decorator parameter.
 

src/dbt_score/rule.py

@@ -42,9 +42,9 @@ def from_dict(rule_config: dict[str, Any]) -> "RuleConfig":
             else []
         )
 
-        return RuleConfig(severity=severity,
-                          config=config,
-                          model_filter_names=filter_names)
+        return RuleConfig(
+            severity=severity, config=config, model_filter_names=filter_names
+        )
 
 
 @dataclass

tests/test_config.py

@@ -27,10 +27,9 @@ def test_load_valid_toml_file(valid_config_path):
     assert config.badge_config.first.icon == "1️⃣"
     assert config.fail_project_under == 7.5
     assert config.fail_any_model_under == 6.9
-    assert (
-        config.rules_config["tests.rules.example.rule_test_example"].model_filter_names
-        == ["tests.rules.example.skip_model1"]
-    )
+    assert config.rules_config[
+        "tests.rules.example.rule_test_example"
+    ].model_filter_names == ["tests.rules.example.skip_model1"]
 
 
 def test_load_invalid_toml_file(caplog, invalid_config_path):