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
68.8%
Success Rate
1m 49s
Avg Duration
26s - 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 36s 108.0
100.0% openrouter/google/gemini-3-pro-preview 1m 37s 71.3
100.0% openrouter/anthropic/claude-opus-4.5 32s 44.9
100.0% openrouter/x-ai/grok-3-mini 48s 45.3
100.0% openrouter/google/gemini-2.5-pro 56s 109.4
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 26s 72.2
100.0% openrouter/openai/gpt-oss-20b 1m 47s 752.8
100.0% openrouter/anthropic/claude-haiku-4.5 27s 46.1
100.0% openrouter/deepseek/deepseek-v3.1-terminus 41s 54.6
100.0% openrouter/anthropic/claude-sonnet-4.5 52s 58.6
100.0% openrouter/x-ai/grok-code-fast-1 29s 43.2
83.3% openrouter/openai/gpt-4o-mini 5m 49s 328.6
83.3% litellm/GLM-4.5-Air-FP8-dev 2m 19s 99.4
16.7% openrouter/qwen/qwen3-coder 1m 21s 54.1
0.0% openrouter/openai/gpt-oss-120b 34s 78.7
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0