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 17s
Avg Duration
16s - 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 49s 68.5
100.0% openrouter/anthropic/claude-opus-4.5 24s 43.9
100.0% openrouter/x-ai/grok-3-mini 1m 23s 587.5
100.0% openrouter/openai/gpt-oss-20b 40s 147.1
100.0% openrouter/anthropic/claude-haiku-4.5 19s 41.2
100.0% litellm/GLM-4.5-Air-FP8-dev 48s 152.6
100.0% openrouter/anthropic/claude-sonnet-4.5 38s 58.9
100.0% openrouter/x-ai/grok-code-fast-1 51s 44.3
83.3% openrouter/google/gemini-2.5-flash-preview-09-2025 16s 56.0
83.3% openrouter/openai/gpt-oss-120b 1m 14s 362.9
83.3% openrouter/google/gemini-2.5-pro 52s 58.7
83.3% openrouter/google/gemini-2.5-flash-lite-preview-09-2025 31s 198.8
83.3% openrouter/deepseek/deepseek-v3.1-terminus 42s 40.1
66.7% openrouter/openai/gpt-4o-mini 43s 88.7
0.0% openrouter/qwen/qwen3-coder 24s 59.5
0.0% openrouter/deepseek/deepseek-chat-v3-0324 10m 0s 0.0