"""
Visualization Generator Agent

Generates data visualizations and charts using various libraries
and export formats.
"""

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


class VisualizationGeneratorAgent(BaseAgent):
    """
    Generates data visualizations.

    Supports:
    - Multiple chart types (line, bar, pie, scatter, heatmap, etc.)
    - Interactive visualizations
    - Multiple export formats (PNG, SVG, PDF, HTML)
    - Custom styling and theming
    - Automatic chart type selection
    - Responsive layouts
    """

    def __init__(self):
        super().__init__(
            name='visualization-generator',
            description='Generate data visualizations and charts',
            category='data',
            version='1.0.0',
            tags=['visualization', 'charts', 'graphics', 'data-viz']
        )

    async def execute(self, params: Dict[str, Any]) -> Dict[str, Any]:
        """
        Generate data visualizations.

        Args:
            params: {
                'data_source': str,
                'visualizations': [
                    {
                        'type': 'line|bar|pie|scatter|heatmap|histogram|box|area|bubble|treemap',
                        'title': str,
                        'x_axis': str,
                        'y_axis': str,
                        'grouping': str,
                        'aggregation': str,
                        'filters': Dict[str, Any]
                    }
                ],
                'options': {
                    'theme': 'light|dark|custom',
                    'color_scheme': str,
                    'interactive': bool,
                    'responsive': bool,
                    'show_legend': bool,
                    'show_grid': bool,
                    'format': 'png|svg|pdf|html|json'
                },
                'layout': {
                    'width': int,
                    'height': int,
                    'arrangement': 'grid|stack|tabs'
                }
            }

        Returns:
            {
                'status': 'success|failed',
                'visualizations_created': int,
                'files': List[Dict[str, Any]],
                'execution_time_seconds': float,
                'insights': List[str],
                'recommendations': List[str]
            }
        """
        data_source = params.get('data_source')
        visualizations = params.get('visualizations', [])
        options = params.get('options', {})
        layout = params.get('layout', {})

        self.logger.info(
            f"Generating {len(visualizations)} visualizations from '{data_source}'"
        )

        # Mock visualization generation
        files = self._generate_visualization_files(visualizations, options)

        return {
            'status': 'success',
            'data_source': data_source,
            'visualizations_created': len(files),
            'execution_time_seconds': 2.8,
            'files': files,
            'format': options.get('format', 'png'),
            'theme': options.get('theme', 'light'),
            'interactive': options.get('interactive', False),
            'total_file_size_mb': round(sum(f['size_mb'] for f in files), 2),
            'layout_config': {
                'width': layout.get('width', 1200),
                'height': layout.get('height', 600),
                'arrangement': layout.get('arrangement', 'grid'),
                'responsive': options.get('responsive', True)
            },
            'chart_statistics': {
                'total_data_points': 15000,
                'unique_series': 8,
                'date_range': '2025-01-01 to 2025-11-16',
                'categories_shown': 12
            },
            'styling': {
                'color_scheme': options.get('color_scheme', 'default'),
                'font_family': 'Inter, sans-serif',
                'show_legend': options.get('show_legend', True),
                'show_grid': options.get('show_grid', True),
                'animation': options.get('interactive', False)
            },
            'accessibility': {
                'alt_text_generated': True,
                'aria_labels': True,
                'keyboard_navigation': options.get('interactive', False),
                'screen_reader_compatible': True,
                'color_blind_friendly': True
            },
            'insights': [
                'Revenue shows strong upward trend in Q4',
                'Weekend performance consistently outperforms weekdays',
                'Category "Electronics" is top performer',
                'Seasonal patterns detected in user activity',
                'Recent spike in mobile traffic observed'
            ],
            'recommendations': [
                'Add drill-down capability for detailed analysis',
                'Enable data export from interactive charts',
                'Consider adding comparison overlays',
                'Implement real-time data updates',
                'Add annotation support for key events'
            ],
            'export_options': {
                'formats_available': ['png', 'svg', 'pdf', 'html', 'json'],
                'quality_settings': {
                    'png_dpi': 300,
                    'svg_precision': 2,
                    'pdf_compression': True
                }
            },
            'performance': {
                'render_time_ms': 450,
                'data_load_time_ms': 180,
                'total_time_ms': 630
            }
        }

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

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

        valid_types = ['line', 'bar', 'pie', 'scatter', 'heatmap', 'histogram',
                      'box', 'area', 'bubble', 'treemap']

        for viz in params['visualizations']:
            if viz.get('type') not in valid_types:
                self.logger.error(f"Invalid visualization type: {viz.get('type')}")
                return False

        return True

    def _generate_visualization_files(
        self,
        visualizations: List[Dict[str, Any]],
        options: Dict[str, Any]
    ) -> List[Dict[str, Any]]:
        """Generate mock visualization file metadata."""
        files = []
        viz_types = ['line', 'bar', 'pie', 'scatter', 'heatmap']

        for i, viz in enumerate(visualizations[:10]):
            viz_type = viz.get('type', viz_types[i % len(viz_types)])
            format_type = options.get('format', 'png')

            files.append({
                'filename': f'{viz_type}_chart_{i+1}.{format_type}',
                'path': f'/visualizations/{viz_type}_chart_{i+1}.{format_type}',
                'type': viz_type,
                'title': viz.get('title', f'{viz_type.title()} Chart {i+1}'),
                'size_mb': round(0.5 + (i * 0.1), 2),
                'dimensions': {
                    'width': options.get('width', 1200),
                    'height': options.get('height', 600)
                },
                'data_points': 1500 + (i * 200),
                'created_at': '2025-11-16T10:00:00Z',
                'url': f'https://viz.example.com/{viz_type}_chart_{i+1}.{format_type}',
                'thumbnail_url': f'https://viz.example.com/thumb/{viz_type}_chart_{i+1}.png'
            })

        return files
