Today’s goal is to convert your Python script into a CLI (Command Line Interface) tool.

You will take your Day 05 OOP Log Analyzer and enhance it so it can be executed like a real DevOps tool using command-line arguments.

Your CLI tool should:

• Accept log file path using --file
• Accept output file path using --out
• (Optional) Accept log level filter using --level (example: ERROR)
• Print summary to terminal
• Write summary to an output file

This task helps you build tools that work like real DevOps utilities.

• One Python script (example: log_analyzer_cli.py)
• Script should run like:
  • python log_analyzer_cli.py --file app.log --out summary.txt
• Output should be visible:
  • In terminal
  • In output file

• Use:
  • argparse to parse CLI arguments
  • Functions and clean code structure
  • Your Day 05 class-based logic (reuse it, do not rewrite everything)
• Required arguments:
  • --file (log file path)
• Optional arguments:
  • --out (output file path)
  • --level (filter only one level like ERROR)
• Follow PEP8 and best practices
• Add basic validation:
  • If file is missing, show a friendly error message

• argparse documentation: https://docs.python.org/3/library/argparse.html

• PEP8 – Python Style Guide: https://peps.python.org/pep-0008/

• Your Day 05 OOP script

Most DevOps tools are CLI-based:

• kubectl
• terraform
• aws cli
• helm

DevOps engineers build internal CLI tools to:

• analyze logs quickly
• automate checks
• run scripts consistently across environments

This task trains you to write automation the DevOps way.

1. Add your CLI-based script inside the day-06 folder
2. Ensure the script runs using CLI arguments
3. Verify output is generated
4. Commit and push your changes to your fork

Share your progress on LinkedIn:

• Post a small snippet showing your argparse setup or CLI usage
• Share output (terminal + output file)
• Write 2–3 lines on what you learned today

Optional:

• Tag TrainWithShubham or Shubham Londhe
• Use hashtags: #PythonForDevOps #TrainWithShubham #DevOpsKaJosh (Helps me to filter post and Like/ Comment / Repost / engage)

Happy Learning
TrainWithShubham