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
66.7%
Success Rate
1m 37s
Avg Duration
30s - 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 57s 108.2
100.0% openrouter/anthropic/claude-opus-4.5 31s 42.8
100.0% openrouter/qwen/qwen3-coder 1m 8s 162.0
100.0% openrouter/x-ai/grok-3-mini 1m 6s 68.6
100.0% openrouter/google/gemini-2.5-pro 51s 56.0
100.0% openrouter/openai/gpt-oss-20b 1m 32s 327.9
100.0% openrouter/anthropic/claude-haiku-4.5 30s 45.9
100.0% openrouter/deepseek/deepseek-v3.1-terminus 46s 68.7
100.0% openrouter/anthropic/claude-sonnet-4.5 1m 8s 59.0
100.0% openrouter/x-ai/grok-code-fast-1 1m 23s 85.5
83.3% openrouter/google/gemini-2.5-flash-preview-09-2025 49s 200.7
66.7% openrouter/openai/gpt-4o-mini 31s 57.8
50.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 35s 123.3
0.0% litellm/GLM-4.5-Air-FP8-dev 1m 33s 53.2
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0