04-object-oriented-python

Object-Oriented Python for DevOps

Automation scripts grow into tools, and tools need structure. This module refactors the log analyzer into a class — the way a lot of internal DevOps tools are built. Same behaviour as 03-file-handling-and-logs, now with state in __init__ and behaviour in methods. Light, practical OOP — no inheritance or abstract classes.

Files

• app.log — sample log
• log_analyzer_oop.py — the LogAnalyzer class

python log_analyzer_oop.py

Expected: INFO=10, WARNING=2, ERROR=3 for the bundled log.

Practice

Build the LogAnalyzer class yourself:

1. In __init__, store the log file path and set up a counts dict.
2. read_logs() returns the file's lines (handle a missing file).
3. analyze() counts INFO / WARNING / ERROR — check LEVEL in tokens.
4. Create an object and print the summary.
5. Bonus: add a write_summary() method that dumps counts to JSON.