Diagnose Python script failures by showing error output and exit codes alongside the working directory and file listing. Use these clues to investigate missing files, missing modules, permission errors, or scripts that produce no output.
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Debug Python scripts with proper error surfacing and working directory verification
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When executing Python scripts that may fail, use this pattern to surface clear error information and diagnose issues effectively.
Always run Python scripts with stderr redirected to stdout and echo the exit code:
python3 script.py 2>&1 ; echo Exit code: $?
Why this works:
2>&1 captures both stdout and stderr, ensuring tracebacks are visibleecho Exit code: $? reveals the actual exit status for debuggingBefore any file operations in Python scripts, add working directory verification:
import os
# At the start of your script or before file operations
print(f"Current working directory: {os.getcwd()}")
# For debugging, also list directory contents
print(f"Directory contents: {os.listdir('.')}")
Why this works:
#!/usr/bin/env python3
import os
import sys
def main():
# Diagnostic: verify execution context
print(f"Working directory: {os.getcwd()}")
print(f"Python version: {sys.version}")
print(f"Directory listing: {os.listdir('.')}")
# Your actual logic here
# ...
if __name__ == "__main__":
main()
python3 script.py 2>&1 ; echo Exit code: $?
Look for:
| Symptom | Likely Cause | Debug Clue |
|---|---|---|
| FileNotFoundError | Wrong working directory | Check os.getcwd() output |
| ModuleNotFoundError | Missing dependencies | Traceback shows import path |
| PermissionError | File access issues | Traceback shows file path |
| Silent failure (exit 0, no output) | Logic bug, not crash | Add print statements |
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Prepare audio stems, the separate parts of a track, for mixing by matching their durations with silence, loops, or crossfades. Verify each generated and processed file before moving to the next production step.
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Produce audio in separate stems, meaning individual instrument tracks, and verify each output as you go. Align track lengths with silence, loops, or crossfades, then apply effects, mix a master, and package the files.
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Build serverless endpoints that relay external API requests for a dashboard while keeping API keys on the server. Includes Vercel examples for input checks, caching, cross-origin access, and consistent JSON responses.
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Produce a master track and separate audio parts through a structured Python workflow. Apply filters and reverb, export WAV files with consistent settings, package them in a ZIP archive, and check that the deliverables meet the requested specifications.
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Keep document creation moving when web searches and page retrieval repeatedly fail. The skill preserves the original task, uses the model’s existing knowledge, and clearly identifies information that could not be checked against external sources.
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When Python execution repeatedly fails in execute_code_sandbox, use a file-based alternative: save the script, run it through the shell, and capture results or errors. The guidance covers paths, imports, timeouts, structured output, and optional cleanup.
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