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
87.5%
Success Rate
2m 1s
Avg Duration
20s - 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 20s 48.1
100.0% openrouter/google/gemini-3-pro-preview 1m 5s 67.4
100.0% openrouter/anthropic/claude-opus-4.5 24s 39.7
100.0% openrouter/openai/gpt-oss-120b 3m 47s 691.1
100.0% openrouter/qwen/qwen3-coder 2m 11s 191.7
100.0% openrouter/x-ai/grok-3-mini 47s 294.8
100.0% openrouter/google/gemini-2.5-pro 2m 27s 84.7
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 29s 133.2
100.0% openrouter/openai/gpt-oss-20b 1m 8s 348.6
100.0% openrouter/anthropic/claude-haiku-4.5 26s 47.4
100.0% openrouter/deepseek/deepseek-v3.1-terminus 47s 48.3
100.0% litellm/GLM-4.5-Air-FP8-dev 47s 96.6
100.0% openrouter/anthropic/claude-sonnet-4.5 41s 58.0
100.0% openrouter/x-ai/grok-code-fast-1 36s 54.0
66.7% openrouter/openai/gpt-4o-mini 6m 29s 211.3
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0