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

15
Models Tested
80.0%
Success Rate
2m 1s
Avg Duration
28s - 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 59.2
100.0% openrouter/anthropic/claude-opus-4.5 31s 41.6
100.0% openrouter/openai/gpt-oss-120b 43s 107.3
100.0% openrouter/qwen/qwen3-coder 5m 20s 762.7
100.0% openrouter/x-ai/grok-3-mini 1m 28s 60.7
100.0% openrouter/google/gemini-2.5-pro 1m 52s 102.5
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 28s 79.1
100.0% openrouter/openai/gpt-oss-20b 1m 13s 350.1
100.0% openrouter/anthropic/claude-haiku-4.5 37s 76.8
100.0% litellm/GLM-4.5-Air-FP8-dev 2m 21s 77.5
100.0% openrouter/anthropic/claude-sonnet-4.5 1m 5s 88.3
100.0% openrouter/x-ai/grok-code-fast-1 33s 54.4
83.3% openrouter/deepseek/deepseek-v3.1-terminus 2m 12s 43.0
66.7% openrouter/openai/gpt-4o-mini 30s 54.5
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0