"""
Log Aggregator Agent

Aggregates, parses, and analyzes logs from multiple sources.
Supports ELK stack, Splunk, CloudWatch, and custom log sources.
"""

from typing import Any, Dict, List
from agents.base import BaseAgent


class LogAggregatorAgent(BaseAgent):
    """Aggregates and analyzes logs from multiple sources."""

    def __init__(self):
        super().__init__(
            name='log-aggregator',
            description='Aggregate and analyze logs from multiple sources',
            category='devops',
            version='1.0.0',
            tags=['logs', 'monitoring', 'elk', 'observability', 'analytics']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Aggregate and analyze logs.

        Args:
            params: {
                'sources': ['app-server', 'db-server', 'cache'],
                'time_range': {'start': '2025-11-15T00:00:00Z', 'end': '2025-11-16T00:00:00Z'},
                'filters': {'level': 'ERROR|WARN', 'service': 'api'},
                'aggregation_backend': 'elasticsearch|splunk|cloudwatch',
                'query': 'status:500 AND service:api',
                'limit': 1000,
                'output_format': 'json|csv|text'
            }

        Returns:
            {
                'status': 'success',
                'total_logs': 15234,
                'filtered_logs': 89,
                'log_entries': [...],
                'statistics': {...}
            }
        """
        sources = params.get('sources', [])
        time_range = params.get('time_range', {})
        filters = params.get('filters', {})
        backend = params.get('aggregation_backend', 'elasticsearch')
        limit = params.get('limit', 1000)

        self.logger.info(
            f"Aggregating logs from {len(sources)} sources using {backend}"
        )

        log_entries = [
            {
                'timestamp': '2025-11-16T10:23:45Z',
                'level': 'ERROR',
                'service': 'api',
                'message': 'Database connection timeout',
                'host': 'app-server-01',
                'trace_id': 'abc123def456'
            },
            {
                'timestamp': '2025-11-16T10:24:12Z',
                'level': 'WARN',
                'service': 'api',
                'message': 'High response time detected',
                'host': 'app-server-02',
                'trace_id': 'def789ghi012'
            }
        ]

        return {
            'status': 'success',
            'backend': backend,
            'sources': sources,
            'time_range': time_range,
            'total_logs': 15234,
            'filtered_logs': 89,
            'log_entries': log_entries[:limit],
            'statistics': {
                'by_level': {
                    'ERROR': 45,
                    'WARN': 234,
                    'INFO': 14532,
                    'DEBUG': 423
                },
                'by_service': {
                    'api': 8234,
                    'worker': 4532,
                    'frontend': 2468
                },
                'errors_per_hour': 5.6,
                'peak_hour': '2025-11-16T14:00:00Z'
            },
            'insights': [
                'Database connection timeouts increased by 45% in last hour',
                'API error rate: 0.29% (above threshold of 0.1%)'
            ],
            'timestamp': '2025-11-16T00:00:00Z'
        }

    def validate_params(self, params: Dict[str, Any]) -> bool:
        """Validate log aggregation parameters."""
        if 'sources' not in params or not params['sources']:
            self.logger.error("Missing required field: sources")
            return False

        valid_backends = ['elasticsearch', 'splunk', 'cloudwatch', 'loki']
        backend = params.get('aggregation_backend', 'elasticsearch')
        if backend not in valid_backends:
            self.logger.error(f"Invalid backend: {backend}")
            return False

        return True
