Cleanup: Remove unused header-related functions from data.py

src/excel_mcp/data.py

@@ -135,91 +135,6 @@ def write_data(
         logger.error(f"Failed to write data: {e}")
         raise DataError(str(e))
 
-def _looks_like_headers(row_dict):
-    """Check if a data row appears to be headers (keys match values)."""
-    return all(
-        isinstance(value, str) and str(value).strip() == str(key).strip()
-        for key, value in row_dict.items()
-    )
-    
-def _check_for_headers_above(worksheet, start_row, start_col, headers):
-    """Check if cells above start position contain headers."""
-    if start_row <= 1:
-        return False  # Nothing above row 1
-        
-    # Look for header-like content above
-    for check_row in range(max(1, start_row - 5), start_row):
-        # Count matches for this row
-        header_count = 0
-        cell_count = 0
-        
-        for i, header in enumerate(headers):
-            if i >= 10:  # Limit check to first 10 columns for performance
-                break
-                
-            cell = worksheet.cell(row=check_row, column=start_col + i)
-            cell_count += 1
-            
-            # Check if cell is formatted like a header (bold)
-            is_formatted = cell.font.bold if hasattr(cell.font, 'bold') else False
-            
-            # Check for any content that could be a header
-            if cell.value is not None:
-                # Case 1: Direct match with expected header
-                if str(cell.value).strip().lower() == str(header).strip().lower():
-                    header_count += 2  # Give higher weight to exact matches
-                # Case 2: Any formatted cell with content
-                elif is_formatted and cell.value:
-                    header_count += 1
-                # Case 3: Any cell with content in the first row we check
-                elif check_row == max(1, start_row - 5):
-                    header_count += 0.5
-        
-        # If we have a significant number of matching cells, consider it a header row
-        if cell_count > 0 and header_count >= cell_count * 0.5:
-            return True
-            
-    # No headers found above
-    return False
-
-def _determine_header_behavior(worksheet, start_row, start_col, data):
-    """Determine if headers should be written based on context."""
-    if not data:
-        return False  # No data means no headers
-        
-    # Check if we're in the title area (rows 1-4)
-    if start_row <= 4:
-        return False  # Don't add headers in title area
-    
-    # If we already have data in the sheet, be cautious about adding headers
-    if worksheet.max_row > 1:
-        # Check if the target row already has content
-        has_content = any(
-            worksheet.cell(row=start_row, column=start_col + i).value is not None
-            for i in range(min(5, len(data[0].keys())))
-        )
-        
-        if has_content:
-            return False  # Don't overwrite existing content with headers
-        
-        # Check if first row appears to be headers
-        first_row_is_headers = _looks_like_headers(data[0])
-        
-        # Check extensively for headers above (up to 5 rows)
-        has_headers_above = _check_for_headers_above(worksheet, start_row, start_col, list(data[0].keys()))
-        
-        # Be conservative - don't add headers if we detect headers above or the data has headers
-        if has_headers_above or first_row_is_headers:
-            return False
-        
-        # If we're appending data immediately after existing data, don't add headers
-        if any(worksheet.cell(row=start_row-1, column=start_col + i).value is not None 
-               for i in range(min(5, len(data[0].keys())))):
-            return False
-    
-    # For completely new sheets or empty areas far from content, add headers
-    return True
-
 def _write_data_to_worksheet(
     worksheet: Worksheet, 
     data: list[list],