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 14s
Avg Duration
15s - 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 28s 95.9
100.0% openrouter/google/gemini-3-pro-preview 1m 0s 68.7
100.0% openrouter/anthropic/claude-opus-4.5 24s 44.2
100.0% openrouter/x-ai/grok-3-mini 44s 272.6
100.0% openrouter/google/gemini-2.5-pro 47s 35.9
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 1m 31s 332.1
100.0% openrouter/openai/gpt-oss-20b 51s 308.8
100.0% openrouter/anthropic/claude-haiku-4.5 20s 39.6
100.0% openrouter/anthropic/claude-sonnet-4.5 40s 57.4
100.0% openrouter/x-ai/grok-code-fast-1 1m 0s 43.3
83.3% openrouter/openai/gpt-4o-mini 26s 54.8
83.3% openrouter/deepseek/deepseek-v3.1-terminus 32s 45.5
66.7% litellm/GLM-4.5-Air-FP8-dev 41s 139.6
16.7% openrouter/qwen/qwen3-coder 20s 46.4
0.0% openrouter/openai/gpt-oss-120b 15s 48.4
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0