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
66.7%
Success Rate
1m 54s
Avg Duration
23s - 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-3-pro-preview 1m 37s 86.4
100.0% openrouter/anthropic/claude-opus-4.5 29s 44.3
100.0% openrouter/openai/gpt-oss-120b 49s 103.6
100.0% litellm/Kimi-K2.5-sandbox 24s 79.3
100.0% openrouter/openai/gpt-4o-mini 48s 88.3
100.0% openrouter/openai/gpt-oss-20b 23s 158.5
100.0% openrouter/anthropic/claude-haiku-4.5 27s 40.5
100.0% openrouter/deepseek/deepseek-v3.1-terminus 40s 126.7
100.0% openrouter/anthropic/claude-sonnet-4.5 32s 51.8
100.0% openrouter/x-ai/grok-code-fast-1 29s 47.5
83.3% openrouter/x-ai/grok-3-mini 49s 44.1
16.7% openrouter/qwen/qwen3-coder 35s 44.3
0.0% openrouter/google/gemini-2.5-pro 40s 91.3
0.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 10m 0s 0.0
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0