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
2m 13s
Avg Duration
19s - 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-2.5-flash-preview-09-2025 34s 64.6
100.0% openrouter/google/gemini-3-pro-preview 1m 33s 73.5
100.0% openrouter/anthropic/claude-opus-4.5 32s 42.7
100.0% openrouter/openai/gpt-oss-120b 1m 51s 223.9
100.0% openrouter/anthropic/claude-haiku-4.5 32s 51.2
100.0% openrouter/deepseek/deepseek-v3.1-terminus 42s 45.0
100.0% litellm/GLM-4.5-Air-FP8-dev 3m 49s 126.2
100.0% openrouter/anthropic/claude-sonnet-4.5 1m 2s 57.4
100.0% openrouter/x-ai/grok-code-fast-1 1m 15s 125.5
66.7% openrouter/openai/gpt-4o-mini 45s 56.6
33.3% openrouter/openai/gpt-oss-20b 1m 18s 450.5
16.7% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 32s 72.8
0.0% openrouter/qwen/qwen3-coder 19s 19.7
0.0% openrouter/x-ai/grok-3-mini 10m 0s 0.0
0.0% openrouter/google/gemini-2.5-pro 46s 0.0
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0