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
60.0%
Success Rate
1m 22s
Avg Duration
17s - 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 29s 70.9
100.0% openrouter/google/gemini-3-pro-preview 2m 3s 134.9
100.0% openrouter/anthropic/claude-opus-4.5 33s 44.6
100.0% openrouter/openai/gpt-oss-120b 59s 116.0
100.0% openrouter/google/gemini-2.5-pro 1m 11s 75.8
100.0% openrouter/openai/gpt-oss-20b 42s 207.1
100.0% openrouter/anthropic/claude-haiku-4.5 31s 72.8
100.0% openrouter/deepseek/deepseek-v3.1-terminus 1m 2s 80.9
100.0% openrouter/anthropic/claude-sonnet-4.5 51s 57.0
66.7% openrouter/qwen/qwen3-coder 28s 55.4
66.7% openrouter/openai/gpt-4o-mini 30s 114.4
66.7% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 26s 78.1
0.0% openrouter/x-ai/grok-3-mini 24s 84.3
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0
0.0% openrouter/x-ai/grok-code-fast-1 17s 76.8