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
43.8%
Success Rate
1m 23s
Avg Duration
11s - 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 57s 53.2
100.0% openrouter/anthropic/claude-opus-4.5 26s 42.5
100.0% openrouter/google/gemini-2.5-pro 59s 35.6
100.0% openrouter/anthropic/claude-haiku-4.5 19s 39.9
100.0% litellm/GLM-4.5-Air-FP8-dev 1m 56s 221.7
100.0% openrouter/anthropic/claude-sonnet-4.5 43s 54.8
100.0% openrouter/x-ai/grok-code-fast-1 44s 58.3
83.3% openrouter/google/gemini-2.5-flash-preview-09-2025 28s 80.5
83.3% openrouter/x-ai/grok-3-mini 43s 238.7
83.3% openrouter/openai/gpt-4o-mini 2m 3s 194.8
83.3% openrouter/deepseek/deepseek-v3.1-terminus 48s 39.0
0.0% openrouter/openai/gpt-oss-120b 11s 18.6
0.0% openrouter/qwen/qwen3-coder 17s 25.8
0.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 1m 20s 28.4
0.0% openrouter/openai/gpt-oss-20b 13s 20.8
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0