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 25s
Avg Duration
16s - 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 28s 68.4
100.0% openrouter/anthropic/claude-opus-4.5 29s 42.7
100.0% openrouter/openai/gpt-oss-120b 20s 88.5
100.0% openrouter/qwen/qwen3-coder 1m 19s 107.2
100.0% openrouter/google/gemini-2.5-pro 45s 52.5
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 21s 58.5
100.0% openrouter/openai/gpt-oss-20b 50s 212.1
100.0% openrouter/anthropic/claude-haiku-4.5 35s 71.5
100.0% openrouter/anthropic/claude-sonnet-4.5 50s 58.0
83.3% openrouter/x-ai/grok-3-mini 1m 3s 417.0
83.3% openrouter/deepseek/deepseek-v3.1-terminus 39s 41.1
66.7% openrouter/openai/gpt-4o-mini 52s 86.6
16.7% openrouter/google/gemini-2.5-flash-preview-09-2025 33s 122.7
0.0% litellm/GLM-4.5-Air-FP8-dev 16s 30.7
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0
0.0% openrouter/x-ai/grok-code-fast-1 2m 17s 121.6