Openpyxl Sandbox Workaround

When to Use

Use this pattern when

execute_code_sandbox

repeatedly fails for openpyxl or spreadsheet manipulation tasks. The sandbox environment may have compatibility issues with certain openpyxl operations, but running Python directly via

run_shell

often succeeds.

Common Failure Indicators

• execute_code_sandbox

  returns errors related to openpyxl imports or operations
• Multiple retry attempts fail with similar errors
• Errors mention workbook creation, cell writing, or file saving issues

The Workaround Pattern

Instead of using

execute_code_sandbox

, use

run_shell

with an inline Python script:

python3 << 'EOF'
from openpyxl import Workbook
from openpyxl.utils import get_column_letter

# Your openpyxl code here
wb = Workbook()
ws = wb.active
ws.title = "Sheet1"

# Add data
ws['A1'] = 'Header'
ws['B1'] = 'Value'

# Save file
wb.save('output.xlsx')
print('File created successfully')
EOF

Multi-Step Spreadsheet Tasks

For complex operations involving multiple files or data processing:

python3 << 'EOF'
from openpyxl import Workbook, load_workbook
import os

# Load existing workbook if needed
if os.path.exists('input.xlsx'):
    wb = load_workbook('input.xlsx')
    ws = wb.active
    # Process data...
    
# Create new workbook
wb = Workbook()
ws = wb.active

# Add data with proper formatting
for row_idx, row_data in enumerate(data, start=1):
    for col_idx, value in enumerate(row_data, start=1):
        ws.cell(row=row_idx, column=col_idx, value=value)

# Auto-adjust column widths
for column in ws.columns:
    max_length = 0
    column_letter = get_column_letter(column[0].column)
    for cell in column:
        try:
            if len(str(cell.value)) > max_length:
                max_length = len(str(cell.value))
        except:
            pass
    adjusted_width = min(max_length + 2, 50)
    ws.column_dimensions[column_letter].width = adjusted_width

wb.save('output.xlsx')
EOF

Best Practices

1. Use heredoc syntax: The

   << 'EOF'

   pattern prevents variable expansion issues
2. Print success messages: Always include print statements to confirm completion
3. Handle file paths: Use absolute paths or ensure you're in the correct working directory
4. Validate output: After creation, verify the file exists and has expected content
5. Error handling: Add try/except blocks for robustness in complex scripts

Verification Step

After running the script, verify the file was created:

ls -la *.xlsx

Or check file details:

python3 << 'EOF'
from openpyxl import load_workbook
wb = load_workbook('output.xlsx')
print(f"Sheets: {wb.sheetnames}")
print(f"Active sheet: {wb.active.title}")
EOF

When to Fall Back to This Pattern

• First

  execute_code_sandbox

  attempt fails with openpyxl errors
• Error persists after 1-2 retries
• Task is time-sensitive and needs a reliable solution
• The operation is straightforward file creation/modification

Limitations

• Output is limited to stdout/stderr (no direct artifact download from run_shell)
• Files are created in the current working directory
• More verbose than execute_code_sandbox for simple operations