r/T11_output.txt at 34b685bef1e9a567a79f96f6b9acc139942d78dd

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 TASK: Create a dummy log file with 20 lines of mixed INFO and ERROR messages. Parse it using Python to count errors and save a JSON summary to 'log_analysis.json'.
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   [1;34m┌─── Python Source Code ─────────────────────────────────────[0m
   [1;34m│[0m [2m  1 |[0m [34mimport[0m[33m json[0m
   [1;34m│[0m [2m  2 |[0m # Create dummy log file[0m
   [1;34m│[0m [2m  3 |[0m log_lines = [f"{'ERROR' [34mif[0m[33m i % [36m3[0m[33m == [36m0[0m[33m [34melse[0m[33m 'INFO'} message {i}" [34mfor[0m[33m i in range([36m20[0m[33m)][0m
   [1;34m│[0m [2m  4 |[0m [34mwith[0m[33m open('dummy_log.txt', 'w') [34mas[0m[33m f:[0m
   [1;34m│[0m [2m  5 |[0m     [34mfor[0m[33m line in log_lines:[0m
   [1;34m│[0m [2m  6 |[0m         f.write(line + '\n')[0m
   [1;34m│[0m [2m  7 |[0m # Parse log file to count errors[0m
   [1;34m│[0m [2m  8 |[0m error_count = [36m0[0m[33m[0m
   [1;34m│[0m [2m  9 |[0m [34mwith[0m[33m open('dummy_log.txt', 'r') [34mas[0m[33m f:[0m
   [1;34m│[0m [2m 10 |[0m     [34mfor[0m[33m line in f:[0m
   [1;34m│[0m [2m 11 |[0m         [34mif[0m[33m 'ERROR' in line:[0m
   [1;34m│[0m [2m 12 |[0m             error_count += [36m1[0m[33m[0m
   [1;34m│[0m [2m 13 |[0m # Create summary[0m
   [1;34m│[0m [2m 14 |[0m summary = {[0m
   [1;34m│[0m [2m 15 |[0m     "total_lines": [36m20[0m[33m,[0m
   [1;34m│[0m [2m 16 |[0m     "error_count": error_count,[0m
   [1;34m│[0m [2m 17 |[0m     "info_count": [36m20[0m[33m - error_count[0m
   [1;34m│[0m [2m 18 |[0m }[0m
   [1;34m│[0m [2m 19 |[0m # Save JSON summary[0m
   [1;34m│[0m [2m 20 |[0m [34mwith[0m[33m open('log_analysis.json', 'w') [34mas[0m[33m f:[0m
   [1;34m│[0m [2m 21 |[0m     json.dump(summary, f)[0m
   [1;34m└────────────────────────────────────────────────────────────[0m
 A dummy log file with 20 lines of mixed INFO and ERROR messages has been created. The log has been parsed to count the errors, and a JSON summary has been saved to 'log_analysis.json'.