Task task7_log_parser

You'll find a log file called `application.log` in the current directory. Parse this log file and extract the following information:

1. Count the total number of ERROR and WARNING level messages
2. Extract all unique IP addresses that appear in the logs
3. Find all timestamps where errors occurred
4. Identify the most common error message (if any patterns exist)

Generate a JSON file called `log_analysis.json` with the following structure:

```json
{
"total_errors": <number>,
"total_warnings": <number>,
"unique_ips": ["ip1", "ip2", ...],
"error_timestamps": ["timestamp1", "timestamp2", ...],
"most_common_error": "<error message or null>"
}
```

Make sure to handle different log formats gracefully and extract the relevant information accurately.

PS: You are currently working in an automated system and cannot ask any question or have back and forth with an user.

Results

15
Models Tested
46.7%
Success Rate
1m 46s
Avg Duration
18s - 10m 0s
Duration Range

Details

Score Model Duration Session (KB) test_1_file_exists.sh test_2_valid_json.sh test_3_correct_counts.sh test_4_unique_ips.sh test_5_error_timestamps.sh test_6_most_common_error.sh
100.0% openrouter/anthropic/claude-opus-4.5 28s 43.8
100.0% openrouter/x-ai/grok-3-mini 46s 271.6
100.0% openrouter/openai/gpt-oss-20b 32s 154.0
100.0% openrouter/anthropic/claude-haiku-4.5 20s 39.6
100.0% openrouter/deepseek/deepseek-v3.1-terminus 31s 40.4
100.0% openrouter/anthropic/claude-sonnet-4.5 39s 57.7
100.0% openrouter/x-ai/grok-code-fast-1 44s 40.3
66.7% openrouter/google/gemini-2.5-pro 38s 52.3
16.7% openrouter/qwen/qwen3-coder 24s 90.9
16.7% openrouter/openai/gpt-4o-mini 21s 56.3
0.0% openrouter/google/gemini-3-pro-preview 33s 18.1
0.0% openrouter/openai/gpt-oss-120b 26s 101.9
0.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 18s 34.8
0.0% litellm/GLM-4.5-Air-FP8-dev 10m 0s 0.0
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0