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
43.8%
Success Rate
2m 29s
Avg Duration
26s - 10m 4s
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 27s 40.4
100.0% openrouter/google/gemini-3-pro-preview 1m 19s 66.8
100.0% openrouter/anthropic/claude-opus-4.5 33s 42.3
100.0% openrouter/openai/gpt-oss-120b 1m 43s 146.7
100.0% openrouter/google/gemini-2.5-pro 1m 29s 132.0
100.0% openrouter/anthropic/claude-haiku-4.5 34s 49.4
100.0% openrouter/anthropic/claude-sonnet-4.5 41s 47.2
83.3% openrouter/deepseek/deepseek-v3.1-terminus 48s 40.4
83.3% litellm/GLM-4.5-Air-FP8-dev 9m 9s 205.8
66.7% openrouter/qwen/qwen3-coder 33s 64.8
66.7% openrouter/openai/gpt-4o-mini 34s 57.9
66.7% openrouter/openai/gpt-oss-20b 26s 60.1
66.7% openrouter/x-ai/grok-code-fast-1 32s 57.6
50.0% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 49s 199.3
0.0% openrouter/x-ai/grok-3-mini 10m 4s 0.0
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0