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