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
50.0%
Success Rate
1m 22s
Avg Duration
21s - 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 12s 66.7
100.0% openrouter/anthropic/claude-opus-4.5 30s 44.5
100.0% openrouter/x-ai/grok-3-mini 1m 0s 329.0
100.0% openrouter/google/gemini-2.5-pro 1m 27s 42.0
100.0% openrouter/openai/gpt-oss-20b 21s 175.1
100.0% openrouter/anthropic/claude-haiku-4.5 30s 51.1
100.0% openrouter/anthropic/claude-sonnet-4.5 49s 58.8
100.0% openrouter/x-ai/grok-code-fast-1 39s 66.0
83.3% openrouter/deepseek/deepseek-v3.1-terminus 41s 41.4
66.7% openrouter/qwen/qwen3-coder 29s 55.8
50.0% openrouter/google/gemini-2.5-flash-preview-09-2025 40s 131.5
16.7% openrouter/openai/gpt-4o-mini 34s 56.3
16.7% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 1m 55s 92.5
0.0% openrouter/openai/gpt-oss-120b 27s 43.6
0.0% litellm/GLM-4.5-Air-FP8-dev 38s 63.8
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0