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
62.5%
Success Rate
2m 19s
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-3-pro-preview 1m 15s 60.1
100.0% openrouter/anthropic/claude-opus-4.5 23s 44.5
100.0% openrouter/x-ai/grok-3-mini 56s 339.8
100.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 19s 73.8
100.0% openrouter/openai/gpt-oss-20b 19s 247.1
100.0% openrouter/anthropic/claude-haiku-4.5 23s 46.9
100.0% openrouter/deepseek/deepseek-v3.1-terminus 33s 39.7
100.0% litellm/GLM-4.5-Air-FP8-dev 33s 120.4
100.0% openrouter/anthropic/claude-sonnet-4.5 39s 57.9
100.0% openrouter/x-ai/grok-code-fast-1 22s 56.4
83.3% openrouter/google/gemini-2.5-flash-preview-09-2025 19s 46.1
83.3% openrouter/google/gemini-2.5-pro 51s 74.8
0.0% openrouter/openai/gpt-oss-120b 27s 51.8
0.0% openrouter/qwen/qwen3-coder 10m 0s 0.0
0.0% openrouter/openai/gpt-4o-mini 10m 0s 0.0
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0