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
56.2%
Success Rate
1m 15s
Avg Duration
13s - 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 59s 66.9
100.0% openrouter/anthropic/claude-opus-4.5 24s 41.0
100.0% openrouter/qwen/qwen3-coder 51s 123.4
100.0% openrouter/x-ai/grok-3-mini 55s 278.7
100.0% openrouter/google/gemini-2.5-pro 36s 43.1
100.0% openrouter/anthropic/claude-haiku-4.5 23s 49.0
100.0% openrouter/deepseek/deepseek-v3.1-terminus 1m 18s 106.1
100.0% litellm/GLM-4.5-Air-FP8-dev 47s 189.9
100.0% openrouter/anthropic/claude-sonnet-4.5 41s 59.2
83.3% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 43s 221.2
50.0% openrouter/openai/gpt-4o-mini 42s 83.2
0.0% openrouter/google/gemini-2.5-flash-preview-09-2025 23s 69.1
0.0% openrouter/openai/gpt-oss-120b 58s 100.3
0.0% openrouter/openai/gpt-oss-20b 13s 26.5
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0
0.0% openrouter/x-ai/grok-code-fast-1 20s 46.2