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

15
Models Tested
80.0%
Success Rate
1m 31s
Avg Duration
34s - 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 40s 71.2
100.0% openrouter/google/gemini-3-pro-preview 1m 21s 75.3
100.0% openrouter/anthropic/claude-opus-4.5 41s 43.7
100.0% openrouter/openai/gpt-oss-120b 1m 7s 100.8
100.0% openrouter/x-ai/grok-3-mini 48s 53.7
100.0% openrouter/google/gemini-2.5-pro 2m 11s 84.5
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 1m 1s 99.1
100.0% openrouter/openai/gpt-oss-20b 41s 250.5
100.0% openrouter/anthropic/claude-haiku-4.5 34s 51.4
100.0% openrouter/deepseek/deepseek-v3.1-terminus 1m 0s 98.8
100.0% openrouter/anthropic/claude-sonnet-4.5 1m 0s 57.0
100.0% openrouter/x-ai/grok-code-fast-1 35s 39.3
66.7% openrouter/openai/gpt-4o-mini 40s 56.5
0.0% openrouter/qwen/qwen3-coder 34s 37.0
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0