refactor: drop validate_workflow_name, the column it validated no longer exists

.flake8

@@ -2,3 +2,5 @@
 max-line-length = 88
 extend-ignore = E203, W503
 exclude = reference/, .git, __pycache__, web/, venv/, htmlcov/, build/, dist/
+per-file-ignores =
+    tests/*:E402

tests/test_validators.py

@@ -16,7 +16,6 @@ from utils.validators import (
     validate_rating,
     validate_tags,
     validate_category,
-    validate_workflow_name,
     sanitize_input,
     parse_tags_string,
     validate_result_timeout,
@@ -77,41 +76,6 @@ class TestValidateCategory(unittest.TestCase):
             validate_category("bad\ncategory")
 
 
-class TestValidateWorkflowName(unittest.TestCase):
-    """Test validate_workflow_name function."""
-
-    def test_none_is_valid(self):
-        self.assertTrue(validate_workflow_name(None))
-
-    def test_empty_string_is_valid(self):
-        self.assertTrue(validate_workflow_name(""))
-
-    def test_whitespace_only_is_valid(self):
-        self.assertTrue(validate_workflow_name("   "))
-
-    def test_normal_name(self):
-        self.assertTrue(validate_workflow_name("My Workflow"))
-
-    def test_name_with_special_chars(self):
-        self.assertTrue(validate_workflow_name("workflow-v2_final (copy)"))
-
-    def test_max_length_boundary(self):
-        self.assertTrue(validate_workflow_name("x" * 200))
-
-    def test_exceeds_max_length(self):
-        with self.assertRaises(ValueError) as ctx:
-            validate_workflow_name("x" * 201)
-        self.assertIn("200", str(ctx.exception))
-
-    def test_non_string_raises(self):
-        with self.assertRaises(ValueError):
-            validate_workflow_name(42)
-
-    def test_dict_raises(self):
-        with self.assertRaises(ValueError):
-            validate_workflow_name({"name": "workflow"})
-
-
 class TestSanitizeInput(unittest.TestCase):
     """Test sanitize_input function."""
 

utils/validators.py

@@ -148,7 +148,8 @@ def validate_tags(tags: Union[str, List[str], None]) -> bool:
                    - Wrong input type (not string, list, or None)
                    - Individual tag is empty or only whitespace
                    - Individual tag exceeds 50 characters
-                   - Tag contains invalid characters (non-alphanumeric, spaces, hyphens, underscores)
+                   - Tag contains characters other than alphanumerics,
+                     spaces, hyphens and underscores
                    - More than 20 tags provided
     """
     if tags is None:
@@ -199,7 +200,8 @@ def validate_category(category: Optional[str]) -> bool:
         ValueError: If category is invalid:
                    - Not a string type (when not None)
                    - Exceeds 100 characters
-                   - Contains invalid characters (non-alphanumeric, spaces, hyphens, underscores)
+                   - Contains characters other than alphanumerics, spaces,
+                     hyphens and underscores
     """
     if category is None:
         return True
@@ -221,40 +223,6 @@ def validate_category(category: Optional[str]) -> bool:
     return True
 
 
-def validate_workflow_name(workflow_name: Optional[str]) -> bool:
-    """
-    Validate workflow name input.
-
-    Validates optional workflow name strings with generous length limits
-    to accommodate descriptive workflow names.
-
-    Args:
-        workflow_name: The workflow name to validate (None allowed for no workflow)
-
-    Returns:
-        True if the workflow name is valid or None
-
-    Raises:
-        ValueError: If workflow name is invalid:
-                   - Not a string type (when not None)
-                   - Exceeds 200 characters
-    """
-    if workflow_name is None:
-        return True
-
-    if not isinstance(workflow_name, str):
-        raise ValueError("Workflow name must be a string")
-
-    workflow_name = workflow_name.strip()
-    if not workflow_name:
-        return True  # Empty workflow name is valid
-
-    if len(workflow_name) > 200:
-        raise ValueError("Workflow name cannot exceed 200 characters")
-
-    return True
-
-
 def sanitize_input(text: str) -> str:
     """
     Sanitize text input by removing potentially harmful content.