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
62.5%
Success Rate
1m 24s
Avg Duration
25s - 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 15s 42.4
100.0% openrouter/anthropic/claude-opus-4.5 31s 43.9
100.0% openrouter/x-ai/grok-3-mini 60s 44.3
100.0% litellm/Kimi-K2.5-sandbox 39s 131.5
100.0% openrouter/google/gemini-2.5-pro 1m 16s 66.2
100.0% openrouter/openai/gpt-oss-20b 28s 136.6
100.0% openrouter/anthropic/claude-haiku-4.5 25s 42.1
100.0% litellm/GLM-4.5-Air-FP8-dev 2m 19s 98.1
100.0% openrouter/anthropic/claude-sonnet-4.5 40s 54.2
100.0% openrouter/x-ai/grok-code-fast-1 35s 58.8
83.3% openrouter/openai/gpt-oss-120b 59s 98.2
83.3% openrouter/deepseek/deepseek-v3.1-terminus 26s 41.1
66.7% openrouter/openai/gpt-4o-mini 49s 53.6
16.7% openrouter/qwen/qwen3-coder 39s 127.4
0.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 39s 81.2
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0