"""
Event models for the OpenEventDatabase.
"""

import json
from oedb.utils.logging import logger

class BaseEvent:
    """
    Base class for event resources.
    Provides common methods for converting database rows to GeoJSON features.
    """
    
    def row_to_feature(self, row, geom_only=False):
        """
        Convert a database row to a GeoJSON feature.
        
        Args:
            row: The database row.
            geom_only: Whether to return only the geometry and event ID.
            
        Returns:
            dict: A GeoJSON feature.
        """
        logger.debug(f"Converting row to feature (geom_only={geom_only})")
        
        # Only return geometry and event id
        if geom_only:
            return {
                "type": "Feature",
                "geometry": json.loads(row['geometry']),
                "properties": {"id": row['events_id']}
            }

        properties = dict(row['events_tags'])
        properties.update({
            'createdate': row['createdate'],
            'lastupdate': row['lastupdate'],
            "id": row['events_id']
        })
        
        # Ensure what property is used instead of description
        if 'description' in properties and 'what' not in properties:
            properties['what'] = properties.pop('description')
        if 'secret' in properties:  # hide secret in results
            del properties['secret']
        if "distance" in row:
            properties['distance'] = row['distance']
        return {
            "type": "Feature",
            "geometry": json.loads(row['geometry']),
            "properties": properties
        }

    def rows_to_collection(self, rows, geom_only=False):
        """
        Convert multiple database rows to a GeoJSON FeatureCollection.
        
        Args:
            rows: The database rows.
            geom_only: Whether to return only the geometry and event ID.
            
        Returns:
            dict: A GeoJSON FeatureCollection.
        """
        logger.debug(f"Converting {len(rows)} rows to collection")
        return {
            "type": "FeatureCollection",
            "features": [self.row_to_feature(r, geom_only) for r in rows],
            "count": len(rows)
        }