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
50.0%
Success Rate
1m 23s
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 40s 61.2
100.0% openrouter/anthropic/claude-opus-4.5 38s 44.4
100.0% openrouter/x-ai/grok-3-mini 1m 1s 42.0
100.0% openrouter/google/gemini-2.5-pro 1m 46s 154.7
100.0% openrouter/anthropic/claude-haiku-4.5 30s 45.0
100.0% openrouter/deepseek/deepseek-v3.1-terminus 50s 77.0
100.0% openrouter/anthropic/claude-sonnet-4.5 55s 57.4
100.0% openrouter/x-ai/grok-code-fast-1 41s 81.1
83.3% openrouter/qwen/qwen3-coder 33s 47.7
66.7% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 37s 177.4
33.3% openrouter/google/gemini-2.5-flash-preview-09-2025 34s 86.1
16.7% openrouter/openai/gpt-4o-mini 33s 55.7
0.0% openrouter/openai/gpt-oss-120b 45s 75.3
0.0% openrouter/openai/gpt-oss-20b 32s 147.6
0.0% litellm/GLM-4.5-Air-FP8-dev 44s 34.5
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0