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 13s
Avg Duration
11s - 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 38s 67.5
100.0% openrouter/anthropic/claude-opus-4.5 22s 42.2
100.0% openrouter/x-ai/grok-3-mini 46s 323.6
100.0% openrouter/openai/gpt-oss-20b 28s 216.1
100.0% openrouter/anthropic/claude-haiku-4.5 24s 55.9
100.0% openrouter/deepseek/deepseek-v3.1-terminus 1m 8s 65.4
100.0% litellm/GLM-4.5-Air-FP8-dev 23s 62.1
100.0% openrouter/anthropic/claude-sonnet-4.5 39s 59.6
100.0% openrouter/x-ai/grok-code-fast-1 41s 43.0
83.3% openrouter/google/gemini-2.5-pro 54s 58.8
66.7% openrouter/openai/gpt-4o-mini 37s 54.4
16.7% openrouter/google/gemini-2.5-flash-preview-09-2025 31s 129.0
16.7% openrouter/qwen/qwen3-coder 20s 53.1
0.0% openrouter/openai/gpt-oss-120b 29s 54.9
0.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 11s 21.5
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0