import sqlite3
import pandas as pd
import streamlit as st
import os

DB_PATH = os.path.join("/mnt/data", "memory.db")

def show_logs():
    # Ensure DB exists
    if not os.path.exists(DB_PATH):
        st.info("No logs yet — run your first pipeline!")
        return

    conn = sqlite3.connect(DB_PATH)
    df = pd.read_sql("SELECT * FROM memory_logs ORDER BY id DESC", conn)
    conn.close()

    if df.empty:
        st.info("No logs yet — run your first pipeline!")
    else:
        st.dataframe(df, use_container_width=True)
        # Offer download
        csv = df.to_csv(index=False).encode("utf-8")
        st.download_button(
            label="📥 Download Logs CSV",
            data=csv,
            file_name="agent_memory_logs.csv",
            mime="text/csv"
        )