Investigate Python script failures by capturing regular output, error details, and exit codes. Log the working directory and resolved file paths to expose missing files, permission problems, missing modules, or differences in automated execution.
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Debug Python script execution failures by capturing full output with exit codes and verifying working directory before file operations
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This skill provides a reusable pattern for debugging Python script execution failures. It ensures you capture actual tracebacks instead of opaque errors and verify the working directory before file operations.
When running Python scripts, always use this command pattern to surface actual tracebacks:
python3 script.py 2>&1 ; echo Exit code: $?
Why this works:
2>&1 redirects stderr to stdout, capturing both regular output and errors; echo Exit code: $? displays the actual exit code after executionExamples:
# Good: Full error capture
python3 process_data.py 2>&1 ; echo Exit code: $?
# Bad: Opaque error (no stderr capture, no exit code)
python3 process_data.py
Before any file read/write operations in Python, verify the current working directory:
import os
# At script start, log the working directory
print(f"Working directory: {os.getcwd()}")
# For file operations, use absolute paths or log the resolved path
file_path = "output/result.csv"
abs_path = os.path.abspath(file_path)
print(f"Writing to: {abs_path}")
Why this works:
Full example script structure:
#!/usr/bin/env python3
import os
import sys
def main():
# Debug: verify working directory
print(f"Working directory: {os.getcwd()}", file=sys.stderr)
# Debug: list directory contents if dealing with files
print(f"Directory contents: {os.listdir('.')}", file=sys.stderr)
# Your actual logic here
# ...
if __name__ == "__main__":
main()
2>&1 ; echo Exit code: $? patternos.getcwd() logging at script startos.path.abspath() for file pathsos.listdir('.') if relevant| Symptom | Without Pattern | With Pattern |
|---|---|---|
| File not found | "Error: failed" | Full traceback showing exact path attempted |
| Permission denied | Script exits silently | stderr shows permission error |
| Missing module | Opaque exit | ImportError with module name |
| Wrong directory | Confusing path errors | cwd logged, reveals directory mismatch |
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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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