A simple way to run Python scripts from Node.js with basic b…

Design and critically evaluate a cross-language data processing system that uses Node.js and Python for high-performance computation, where Node.js handles user requests and orchestration while Python executes computationally intensive tasks. Using the python-shell package, explain how you would:

  1. Architect reliable inter-process communication between Node.js and Python using stdin and stdout streams in text, JSON, and binary modes, and justify when each mode is most appropriate.
  2. Implement custom parsers and formatters to ensure structured and secure data exchange, including validation of incoming and outgoing messages.
  3. Configure execution options such as pythonPath, scriptPath, and runtime arguments to support multiple environments (e.g., development, production, and cross-platform deployment).
  4. Handle errors robustly by detecting non-zero exit codes, capturing Python tracebacks from stderr, and generating extended stack traces in Node.js for debugging and logging.
  5. Optimize performance and scalability when spawning multiple Python child processes concurrently, while preventing resource leaks and ensuring proper process termination.
  6. Compare the use of PythonShell.run, runString, and direct instance-based communication (send, on('message'), end) in terms of flexibility, maintainability, and real-time communication requirements.

Finally, propose a testing and monitoring strategy to validate syntax, detect runtime failures, and ensure reliable data transfer between Node.js and Python under high-load conditions.

Requirements: code files long

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