Ridges.AI

Test Name	Status
tests/config/test_config.py::test_csv_regex_error	Fail
tests/config/test_config.py::test_can_read_toml_env_variable	Fail
tests/config/test_config.py::test_unknown_message_id	Fail
tests/config/test_config.py::test_unknown_option_name	Fail
tests/config/test_config.py::test_unknown_short_option_name	Fail
tests/config/test_config.py::test_unknown_confidence	Fail
tests/config/test_config.py::test_empty_confidence	Fail
tests/config/test_config.py::test_unknown_yes_no	Fail
tests/config/test_config.py::test_unknown_py_version	Fail
tests/config/test_config.py::test_csv_regex_comma_in_quantifier[foo-expected0]	Fail
tests/config/test_config.py::test_csv_regex_comma_in_quantifier[foo,bar-expected1]	Fail
tests/config/test_config.py::test_csv_regex_comma_in_quantifier[foo,	Fail
tests/config/test_config.py::test_regex_error	Fail
tests/config/test_config.py::test_short_verbose	Fail
tests/config/test_config.py::test_argument_separator	Fail
tests/config/test_config.py::test_clear_cache_post_run	Fail
tests/config/test_config.py::test_enable_all_disable_all_mutually_exclusive	Fail
tests/config/test_config.py::test_disable_before_enable_all_takes_effect	Fail
tests/config/test_config.py::test_enable_before_disable_all_takes_effect	Fail

 def _regexp_csv_transfomer(value: str) -> Sequence[Pattern[str]]:
+    """Transforms a comma separated list of regular expressions."""
+    """Transforms a comma separated list of regular expressions.
+    This function handles both:
+. Multiple simple patterns separated by commas (e.g., "foo.*,bar.*")
+. Single complex regex patterns that contain commas (e.g., "(foo{1,3})")
+    The approach:
+    - If the value contains commas, first try to parse it as a single regex
+    - If that succeeds and the pattern actually uses the comma meaningfully (not just as separator),
+      use it as a single pattern
+    - Otherwise, split on commas and treat each part as a separate regex pattern
+    """
     patterns: list[Pattern[str]] = []
+    # If no commas, treat as single pattern
+    if ',' not in value:
+        patterns.append(_regex_transformer(value))
+        return patterns
+    # Try to compile as a single pattern first
+    try:
+        single_pattern = _regex_transformer(value)
+        # If successful, check if this is likely a single complex regex
+        # by looking for regex constructs that use commas meaningfully
+        if _is_likely_single_regex_with_comma(value):
+            patterns.append(single_pattern)
+            return patterns
+    except (ValueError, re.error, argparse.ArgumentTypeError):
+        pass  # Will try splitting instead
+    # Fall back to splitting on commas
     for pattern in _csv_transformer(value):
         patterns.append(_regex_transformer(pattern))
     return patterns
+def _is_likely_single_regex_with_comma(pattern: str) -> bool:
+    """Determine if a pattern with commas is likely a single regex rather than
+    multiple patterns separated by commas.
+    This checks for common regex constructs that use commas meaningfully:
+    - Quantifiers like {1,3}
+    - Character classes like [a,b,c]
+    - Escaped commas \,
+    """
+    # Check for regex constructs that meaningfully use commas
+    # Quantifiers like {n,m}
+    if re.search(r'\{\d+,\d+\}', pattern):
+        return True
+    # Character classes with commas [a,b,c]
+    # This is a bit tricky because we need to handle nested brackets
+    # Simple check: if there's an opening bracket followed by comma before closing
+    if re.search(r'\[[^\]]*,[^\]]*\]', pattern):
+        return True
+    # Escaped commas
+    if '\\,' in pattern:
+        return True
+    # If none of the above, it's more likely to be multiple patterns
+    return False
 def _regexp_paths_csv_transfomer(value: str) -> Sequence[Pattern[str]]:
     """Transforms a comma separated list of regular expressions paths."""

sourdough

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