src/research_tools/transparency.py

"""
Transparency Logger - Log generation process for research transparency
"""

import json
from datetime import datetime
from typing import Dict, List, Any


class TransparencyLogger:
    """Log document generation process for research transparency."""

    def __init__(self):
        """Initialize logger."""
        self.logs = []

    def log_event(self, event_type: str, details: Dict[str, Any]) -> None:
        """Log an event."""
        log_entry = {
            "timestamp": datetime.now().isoformat(),
            "event_type": event_type,
            "details": details,
        }
        self.logs.append(log_entry)

    def generate_transparency_report(self) -> str:
        """Generate transparency report."""
        report = "RESEARCH TRANSPARENCY LOG\n" + "=" * 50 + "\n\n"
        report += f"Total Events Logged: {len(self.logs)}\n"
        report += f"Report Generated: {datetime.now().isoformat()}\n\n"

        report += "⚠️ ETHICS DISCLOSURE:\n"
        report += "This document was generated using AI. Full transparency of the generation process:\n\n"

        for i, log in enumerate(self.logs, 1):
            report += f"\n[{i}] {log['event_type']} ({log['timestamp']})\n"
            for key, value in log['details'].items():
                report += f"    {key}: {value}\n"

        return report

    def export_logs_json(self) -> str:
        """Export logs as JSON."""
        return json.dumps(self.logs, indent=2)