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 19s
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 4s 65.7
100.0% openrouter/anthropic/claude-opus-4.5 35s 44.4
100.0% openrouter/openai/gpt-oss-120b 58s 163.6
100.0% openrouter/qwen/qwen3-coder 39s 129.6
100.0% openrouter/google/gemini-2.5-pro 1m 25s 56.6
100.0% openrouter/anthropic/claude-haiku-4.5 28s 75.6
100.0% litellm/GLM-4.5-Air-FP8-dev 39s 110.1
100.0% openrouter/anthropic/claude-sonnet-4.5 53s 57.3
83.3% openrouter/deepseek/deepseek-v3.1-terminus 40s 63.5
33.3% openrouter/google/gemini-2.5-flash-preview-09-2025 43s 127.4
33.3% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 1m 12s 353.2
16.7% openrouter/openai/gpt-4o-mini 31s 56.3
0.0% openrouter/x-ai/grok-3-mini 33s 86.1
0.0% openrouter/openai/gpt-oss-20b 35s 51.3
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0
0.0% openrouter/x-ai/grok-code-fast-1 21s 76.9