"""
CSV renderer for report generation.
"""

from .base_renderer import BaseRenderer
from typing import Dict, Any, Tuple, List
import csv
import io

class CsvRenderer(BaseRenderer):
    """Renders content to CSV format with format-specific extraction."""
    
    @classmethod
    def get_supported_formats(cls) -> List[str]:
        """Return supported CSV formats."""
        return ['csv']
    
    @classmethod
    def get_format_aliases(cls) -> List[str]:
        """Return format aliases."""
        return ['spreadsheet', 'table']
    
    @classmethod
    def get_priority(cls) -> int:
        """Return priority for CSV renderer."""
        return 70
    
    def getExtractionPrompt(self, user_prompt: str, title: str) -> str:
        """Return only CSV-specific guidelines; global prompt is built centrally."""
        return (
            "CSV FORMAT GUIDELINES:\n"
            "- Emit ONLY CSV text without fences or commentary.\n"
            "- Include a single header row with clear column names.\n"
            "- Quote fields containing commas, quotes, or newlines; escape quotes by doubling them.\n"
            "- Use rows to represent items/records derived from sources.\n"
            "- Keep cells concise; include units in headers when useful.\n"
            "OUTPUT: Return ONLY valid CSV content that can be imported."
        )
    
    async def render(self, extracted_content: str, title: str) -> Tuple[str, str]:
        """Render extracted content to CSV format."""
        try:
            # The extracted content should already be CSV from the AI
            # Just clean it up
            csv_content = self._clean_csv_content(extracted_content, title)
            
            return csv_content, "text/csv"
            
        except Exception as e:
            self.logger.error(f"Error rendering CSV: {str(e)}")
            # Return minimal CSV fallback
            return f"Title,Content\n{title},Error rendering report: {str(e)}", "text/csv"
    
    def _clean_csv_content(self, content: str, title: str) -> str:
        """Clean and validate CSV content from AI."""
        content = content.strip()
        
        # Remove markdown code blocks if present
        if content.startswith("```") and content.endswith("```"):
            lines = content.split('\n')
            if len(lines) > 2:
                content = '\n'.join(lines[1:-1]).strip()
        
        return content