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
75.0%
Success Rate
1m 45s
Avg Duration
26s - 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 3s 66.7
100.0% openrouter/anthropic/claude-opus-4.5 27s 45.0
100.0% openrouter/openai/gpt-oss-120b 46s 47.7
100.0% openrouter/x-ai/grok-3-mini 1m 13s 474.6
100.0% openrouter/google/gemini-2.5-pro 1m 12s 67.9
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 31s 114.4
100.0% openrouter/openai/gpt-oss-20b 1m 1s 432.4
100.0% openrouter/anthropic/claude-haiku-4.5 26s 40.1
100.0% openrouter/deepseek/deepseek-v3.1-terminus 26s 40.3
100.0% litellm/GLM-4.5-Air-FP8-dev 51s 79.0
100.0% openrouter/anthropic/claude-sonnet-4.5 49s 58.8
100.0% openrouter/x-ai/grok-code-fast-1 50s 56.9
66.7% openrouter/qwen/qwen3-coder 33s 99.5
33.3% openrouter/google/gemini-2.5-flash-preview-09-2025 28s 76.5
16.7% openrouter/openai/gpt-4o-mini 7m 27s 295.5
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0