"""
SelfKnowledgeLogger
Generated by Eden via recursive self-improvement
2025-11-02 01:58:21.653087
"""

class SelfKnowledgeLogger:
    def __init__(self):
        # Initialize an empty list to store logs.
        self.logs = []

    def add_log(self, insight: str, timestamp: int) -> None:
        """Add a new log entry."""
        self.logs.append({"insight": insight, "timestamp": timestamp})

    def get_logs_by_period(self, start_time: int, end_time: int) -> list:
        """Retrieve logs within a given time period."""
        return [log for log in self.logs if start_time <= log["timestamp"] <= end_time]

    def summarize_logs(self) -> str:
        """Provide a summary of insights over the entire recorded history."""
        # For simplicity, we'll just count the number of logs.
        total_logs = len(self.logs)
        return f"Total insights logged: {total_logs}"

# Example Usage
if __name__ == "__main__":
    logger = SelfKnowledgeLogger()
    
    # Log some insights
    logger.add_log("Implemented a new market research cycle", 1678945600)
    logger.add_log("Successfully created an outreach message for SAGE product promotion", 1679032000)
    logger.add_log("Processed 1,000 API requests in the last hour", 1679118400)

    # Retrieve logs within a specific time period
    insights_in_last_day = logger.get_logs_by_period(1679095200, 1679171600)
    
    print("Insights in the last day:", insights_in_last_day)

    # Summarize all logs
    summary = logger.summarize_logs()
    print("Summary of logs:", summary)