""" Level-0 Summary Utilities for TRuCAL. Provides raw evidence summarization for transparent AI reasoning. """ from typing import List, Dict, Optional import json from pathlib import Path import logging import time logger = logging.getLogger(__name__) class Level0Summary: """Handles Level-0 evidence collection and summarization.""" def __init__(self, log_dir: str = "logs"): """Initialize with logging directory.""" self.log_dir = Path(log_dir) self.log_dir.mkdir(exist_ok=True) self.audit_log = self.log_dir / "level0_audit.jsonl" def summarize(self, query: str, sources: List[str], metadata: Optional[Dict] = None) -> str: """ Generate a Level-0 summary with raw evidence. Args: query: The original user query sources: List of source texts or evidence metadata: Optional metadata for auditing Returns: Formatted Level-0 summary string """ if not query or not sources: return "" header = f"# Level-0 Summary\n" header += f"**Query:** {query}\n\n" header += "## Raw Evidence\n\n" evidence_sections = [] for i, src in enumerate(sources, 1): if not src or not src.strip(): continue evidence_sections.append(f"### Source {i}\n{src.strip()}\n") if not evidence_sections: return f"{header}*No valid evidence sources provided.*" summary = header + "\n".join(evidence_sections) # Log the summary for auditing self._log_summary(query, sources, summary, metadata) return summary def _log_summary(self, query: str, sources: List[str], summary: str, metadata: Optional[Dict] = None): """Log the summary to the audit log.""" try: log_entry = { "timestamp": time.time(), "query": query, "source_count": len(sources), "summary": summary, "metadata": metadata or {} } with open(self.audit_log, "a", encoding="utf-8") as f: f.write(json.dumps(log_entry) + "\n") except Exception as e: logger.error(f"Failed to log Level-0 summary: {str(e)}") # Singleton instance for easy import level0_summarizer = Level0Summary() def get_level0_summary(query: str, sources: List[str], metadata: Optional[Dict] = None) -> str: """Convenience function to get a Level-0 summary.""" return level0_summarizer.summarize(query, sources, metadata)