"""
Dashboard Builder Agent

Builds interactive analytics dashboards with real-time data,
visualizations, and customizable widgets.
"""

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


class DashboardBuilderAgent(BaseAgent):
    """
    Builds interactive analytics dashboards.

    Supports:
    - Multiple chart types (line, bar, pie, scatter, heatmap)
    - Real-time data updates
    - Custom widgets and filters
    - Responsive layouts
    - Export and sharing capabilities
    - Drill-down functionality
    """

    def __init__(self):
        super().__init__(
            name='dashboard-builder',
            description='Build interactive analytics dashboards',
            category='data',
            version='1.0.0',
            tags=['dashboard', 'visualization', 'analytics', 'bi']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Build an analytics dashboard.

        Args:
            params: {
                'dashboard_name': str,
                'data_sources': List[Dict[str, Any]],
                'widgets': [
                    {
                        'type': 'chart|metric|table|filter|text',
                        'chart_type': 'line|bar|pie|scatter|heatmap|gauge',
                        'title': str,
                        'data_query': str,
                        'position': {'x': int, 'y': int, 'width': int, 'height': int},
                        'config': {...}
                    }
                ],
                'layout': 'grid|freeform',
                'refresh_interval': int,  # seconds
                'filters': List[Dict[str, Any]],
                'options': {
                    'theme': 'light|dark',
                    'enable_export': bool,
                    'enable_sharing': bool,
                    'enable_alerts': bool,
                    'responsive': bool
                }
            }

        Returns:
            {
                'status': 'success|failed',
                'dashboard_id': str,
                'dashboard_url': str,
                'widgets_created': int,
                'data_sources_connected': int,
                'filters_applied': int,
                'total_queries': int,
                'avg_load_time_ms': float,
                'execution_time_seconds': float,
                'preview_url': str,
                'embed_code': str
            }
        """
        dashboard_name = params.get('dashboard_name', 'Analytics Dashboard')
        widgets = params.get('widgets', [])
        data_sources = params.get('data_sources', [])
        options = params.get('options', {})

        self.logger.info(
            f"Building dashboard '{dashboard_name}' with {len(widgets)} widgets"
        )

        # Mock dashboard creation
        dashboard_id = f"dash_{dashboard_name.lower().replace(' ', '_')}"

        return {
            'status': 'success',
            'dashboard_id': dashboard_id,
            'dashboard_name': dashboard_name,
            'dashboard_url': f'https://analytics.example.com/dashboards/{dashboard_id}',
            'widgets_created': len(widgets) or 8,
            'data_sources_connected': len(data_sources) or 3,
            'filters_applied': 4,
            'total_queries': 12,
            'avg_load_time_ms': 342.5,
            'theme': options.get('theme', 'light'),
            'refresh_interval': params.get('refresh_interval', 300),
            'widget_types': {
                'charts': 5,
                'metrics': 2,
                'tables': 1,
                'filters': 2
            },
            'chart_breakdown': {
                'line_charts': 2,
                'bar_charts': 2,
                'pie_charts': 1,
                'scatter_plots': 0,
                'heatmaps': 0
            },
            'execution_time_seconds': 2.8,
            'preview_url': f'https://analytics.example.com/preview/{dashboard_id}',
            'embed_code': f'<iframe src="https://analytics.example.com/embed/{dashboard_id}" width="100%" height="600"></iframe>',
            'sharing_enabled': options.get('enable_sharing', True),
            'export_formats': ['pdf', 'png', 'csv'] if options.get('enable_export') else [],
            'features_enabled': {
                'drill_down': True,
                'cross_filtering': True,
                'real_time_updates': params.get('refresh_interval', 0) > 0,
                'alerts': options.get('enable_alerts', False),
                'collaboration': True
            },
            'recommendations': [
                'Add date range filter for better user control',
                'Consider adding comparison metrics (YoY, MoM)',
                'Implement caching to improve load times',
                'Add user customization options'
            ]
        }

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

        if 'widgets' not in params or not params['widgets']:
            self.logger.error("At least one widget is required")
            return False

        valid_widget_types = ['chart', 'metric', 'table', 'filter', 'text']
        for widget in params.get('widgets', []):
            if widget.get('type') not in valid_widget_types:
                self.logger.error(f"Invalid widget type: {widget.get('type')}")
                return False

        return True
