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

16
Models Tested
56.2%
Success Rate
1m 21s
Avg Duration
16s - 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/google/gemini-2.5-flash-preview-09-2025 28s 77.5
100.0% openrouter/google/gemini-3-pro-preview 1m 29s 66.6
100.0% openrouter/anthropic/claude-opus-4.5 46s 46.4
100.0% openrouter/openai/gpt-oss-120b 48s 125.9
100.0% openrouter/x-ai/grok-3-mini 1m 6s 385.6
100.0% openrouter/anthropic/claude-haiku-4.5 29s 54.8
100.0% openrouter/deepseek/deepseek-v3.1-terminus 49s 70.4
100.0% openrouter/anthropic/claude-sonnet-4.5 50s 57.6
100.0% openrouter/x-ai/grok-code-fast-1 26s 44.6
83.3% openrouter/google/gemini-2.5-pro 1m 3s 53.1
83.3% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 53s 258.6
83.3% litellm/GLM-4.5-Air-FP8-dev 53s 98.8
66.7% openrouter/qwen/qwen3-coder 18s 44.9
66.7% openrouter/openai/gpt-4o-mini 1m 9s 129.8
0.0% openrouter/openai/gpt-oss-20b 16s 25.5
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0