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
37.5%
Success Rate
2m 33s
Avg Duration
20s - 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 31s 70.2
100.0% openrouter/google/gemini-3-pro-preview 1m 32s 60.5
100.0% openrouter/anthropic/claude-opus-4.5 34s 45.0
100.0% openrouter/openai/gpt-oss-120b 1m 28s 106.0
100.0% openrouter/anthropic/claude-haiku-4.5 40s 60.0
100.0% openrouter/anthropic/claude-sonnet-4.5 53s 60.1
83.3% openrouter/deepseek/deepseek-v3.1-terminus 1m 0s 55.9
66.7% openrouter/qwen/qwen3-coder 43s 37.8
66.7% openrouter/google/gemini-2.5-pro 58s 66.6
66.7% openrouter/openai/gpt-4o-mini 57s 56.4
33.3% openrouter/x-ai/grok-code-fast-1 50s 68.9
0.0% openrouter/x-ai/grok-3-mini 10m 0s 0.0
0.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 20s 33.0
0.0% openrouter/openai/gpt-oss-20b 26s 35.5
0.0% litellm/GLM-4.5-Air-FP8-dev 10m 0s 0.0
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0