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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)
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