One Checker -

I'll help you develop a "one checker" feature. Since the requirements are open-ended, I'll create a that verifies if something is "one" (unique, consistent, singular) across a system.

class CheckResponse(BaseModel): is_unique: bool duplicates: List[Any] total_items: int unique_count: int one checker

# Demonstrate a passing case print("\n" + "="*60) print("DEMONSTRATING A PASSING SCENARIO") print("="*60) I'll help you develop a "one checker" feature

# Example 4: Check single source of truth sources = { 'database': {'is_primary': True}, 'cache': {'is_primary': False}, 'api': {'is_primary': False} } 'cache': {'is_primary': False}

def check_single_source_of_truth(self, sources: Dict[str, Any]) -> OneCheckReport: """Verify there's exactly one primary data source""" primary_sources = [name for name, source in sources.items() if source.get('is_primary', False)] if len(primary_sources) == 1: return OneCheckReport( check_name="Single source of truth", result=CheckerResult.PASS, message=f"Single source of truth identified: {primary_sources[0]}" ) elif len(primary_sources) == 0: return OneCheckReport( check_name="Single source of truth", result=CheckerResult.WARNING, message="No primary source designated", details={'available_sources': list(sources.keys())} ) else: return OneCheckReport( check_name="Single source of truth", result=CheckerResult.FAIL, message=f"Multiple primary sources found: {primary_sources}" )