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pdf-gen-fallback

Generate PDF documents when sandbox execution fails with unclear errors. Check available Python libraries, switch to direct shell execution, and verify the resulting file while collecting error details to help diagnose problems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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Reliable PDF generation using shell-based Python execution when sandbox fails

설치 방법 보기

이럴 때 유용합니다

  • Generating a PDF after sandbox execution fails
  • Checking PDF libraries and choosing an alternative
  • Verifying generated PDFs and investigating errors

포함된 파일(2)

  • SKILL.md3.2 KB
  • .skill_id30 B

SKILL.md(원문)

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PDF Generation Fallback

This skill provides a reliable workflow for generating PDFs and documents when execute_code_sandbox returns opaque errors. Use direct run_shell with python -c as a fallback, with library availability checks and explicit error handling.

When to Use

  • execute_code_sandbox fails with cryptic error messages during document/PDF generation
  • You need to generate PDFs, reports, or structured documents
  • Standard library execution is unreliable for document creation tasks

Step-by-Step Procedure

Step 1: Check Library Availability

Before attempting generation, verify that required libraries are installed:

run_shell command="python -c \"import reportlab; print('reportlab available')\""
run_shell command="python -c \"import fpdf; print('fpdf available')\""
run_shell command="python -c \"import pypdf; print('pypdf available')\""

Step 2: Attempt execute_code_sandbox First

Try the sandbox approach initially (it's cleaner for iteration):

execute_code_sandbox code="""
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas

c = canvas.Canvas("output.pdf", pagesize=letter)
c.drawString(100, 750, "Document Content")
c.save()
print("ARTIFACT_PATH:/path/to/output.pdf")
"""

Step 3: Detect Opaque Errors

Watch for these failure indicators:

  • Generic "execution failed" messages
  • Import errors that don't match library availability checks
  • Timeout errors during document rendering
  • Missing artifact paths in output

Step 4: Fall Back to run_shell

If sandbox fails, use direct shell execution:

run_shell command="python -c \"
from reportlab.lib.pagesizes import letter
from reportlab.pdfgen import canvas
c = canvas.Canvas('output.pdf', pagesize=letter)
c.drawString(100, 750, 'Document Content')
c.save()
print('PDF created successfully')
\""

Step 5: Verify Output

After generation, confirm the file exists:

run_shell command="ls -la output.pdf && file output.pdf"

Complete Example Workflow

1. Check libraries: run_shell "python -c \"import reportlab\""
2. Try sandbox: execute_code_sandbox with PDF generation code
3. If error detected: Fall back to run_shell with python -c
4. Verify: run_shell "ls -la *.pdf"
5. Read result: read_file filetype="pdf" file_path="output.pdf"

Error Handling Tips

  • Capture stderr from run_shell to diagnose issues
  • Use absolute paths when possible to avoid working directory issues
  • For complex documents, write the Python script to a file first, then execute
  • Consider installing missing libraries: run_shell command="pip install reportlab"

Library Alternatives

If reportlab is unavailable, try:

  • fpdf - Simpler API, good for basic PDFs
  • weasyprint - HTML/CSS to PDF conversion
  • pypdf - PDF manipulation and merging

Common Pitfalls

  • Don't assume sandbox errors mean the approach is wrong—often it's环境 issues
  • Always verify the PDF was created before proceeding
  • Handle encoding issues explicitly (use utf-8)
  • For images in PDFs, ensure image files are accessible to the execution context

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