"""
{{ description }}
"""
import logging
from datetime import datetime, timedelta
from typing import Any, Dict, List, Optional, Union

from sqlalchemy.orm import Session
from fastapi import Depends

from {{ package_name }}.core.database import get_db
from {{ package_name }}.services.{{ name }}_service import {{ class_name|replace('Job', 'Service') }}


logger = logging.getLogger(__name__)


class {{ class_name }}:
    """Job for {{ name }} operations"""
    
    def __init__(self, db: Session = Depends(get_db)):
        """
        Initialize the job with a database session.
        
        Args:
            db: SQLAlchemy database session
        """
        self.db = db
        self.service = {{ class_name|replace('Job', 'Service') }}(db)
    
    async def process_pending_{{ name }}s(self) -> int:
        """
        Process all pending {{ name }}s.
        
        Returns:
            Number of processed {{ name }}s
        """
        try:
            # Get all pending {{ name }}s
            pending_{{ name }}s = self.service.fetch_resource_by_filters(
                {"status": "pending"},
                limit=100
            )
            
            processed_count = 0
            
            for {{ name }} in pending_{{ name }}s:
                try:
                    await self._process_{{ name }}({{ name }})
                    processed_count += 1
                except Exception as e:
                    logger.error("Error processing {{ name }} with id {}: {}".format({{ name }}.id, str(e)))
                    continue
            
            logger.info("Processed {} {{ name }}s".format(processed_count))
            return processed_count
        except Exception as e:
            logger.error("Error in process_pending_{{ name }}s: {}".format(str(e)))
            self.db.rollback()
            return 0
    
    async def _process_{{ name }}(self, {{ name }}: Any) -> None:
        """
        Process a single {{ name }}.
        
        Args:
            {{ name }}: {{ class_name|replace('Job', '') }} object to process
        """
        # Example implementation - update to your needs
        self.service.update_resource_by_id({{ name }}.id, {"status": "active"})
        logger.info("Processed {{ name }} with id {}".format({{ name }}.id))
    
    async def cleanup_old_{{ name }}s(self, days_old: int = 30) -> int:
        """
        Soft delete {{ name }}s older than the specified days.
        
        Args:
            days_old: Number of days old to consider for deletion
            
        Returns:
            Number of {{ name }}s deleted
        """
        try:
            # Calculate cutoff date
            cutoff_date = datetime.utcnow() - timedelta(days=days_old)
            
            # Get all {{ name }}s older than days_old that are inactive
            filters = {
                "created_at_lt": cutoff_date,
                "status": "inactive"
            }
            
            old_{{ name }}s = self.service.fetch_resource_by_filters(
                filters,
                limit=1000
            )
            
            deleted_count = 0
            
            for {{ name }} in old_{{ name }}s:
                try:
                    self.service.remove_resource_by_id({{ name }}.id)
                    deleted_count += 1
                except Exception as e:
                    logger.error("Error deleting {{ name }} with id {}: {}".format({{ name }}.id, str(e)))
                    continue
            
            logger.info("Deleted {} old {{ name }}s".format(deleted_count))
            return deleted_count
        except Exception as e:
            logger.error("Error in cleanup_old_{{ name }}s: {}".format(str(e)))
            self.db.rollback()
            return 0

    async def export_{{ name }}_data(self, format: str = "csv") -> bytes:
        """
        Export {{ name }} data to the specified format.
        
        Args:
            format: Export format (csv or json)
            
        Returns:
            Exported data as bytes
        """
        try:
            # Get all active {{ name }}s
            {{ name }}s = self.service.fetch_resource_by_filters(
                {"is_deleted": False},
                limit=10000
            )
            
            if format.lower() == "csv":
                import csv
                import io
                
                output = io.StringIO()
                fieldnames = ["id", "name", "description", "created_at", "updated_at"]
                
                writer = csv.DictWriter(output, fieldnames=fieldnames)
                writer.writeheader()
                
                for {{ name }} in {{ name }}s:
                    writer.writerow({
                        "id": {{ name }}.id,
                        "name": {{ name }}.name,
                        "description": {{ name }}.description,
                        "created_at": {{ name }}.created_at.isoformat() if {{ name }}.created_at else "",
                        "updated_at": {{ name }}.updated_at.isoformat() if {{ name }}.updated_at else ""
                    })
                
                return output.getvalue().encode("utf-8")
            
            elif format.lower() == "json":
                import json
                
                result = []
                for {{ name }} in {{ name }}s:
                    result.append({
                        "id": {{ name }}.id,
                        "name": {{ name }}.name,
                        "description": {{ name }}.description,
                        "created_at": {{ name }}.created_at.isoformat() if {{ name }}.created_at else None,
                        "updated_at": {{ name }}.updated_at.isoformat() if {{ name }}.updated_at else None
                    })
                
                return json.dumps(result, indent=2).encode("utf-8")
            
            else:
                raise ValueError("Unsupported format: {}".format(format))
                
        except Exception as e:
            logger.error("Error in export_{{ name }}_data: {}".format(str(e)))
            raise