# dashboard/logs.py

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

# Use the HF‐writable temp path
DB_PATH = os.path.join("/tmp", "memory.db")

def show_logs():
    st.header("🧠 Agent Memory Log Dashboard")
    conn = sqlite3.connect(DB_PATH)
    df = pd.read_sql("SELECT * FROM agent_logs ORDER BY timestamp DESC", conn)
    conn.close()
    st.dataframe(df)
    csv = df.to_csv(index=False).encode()
    st.download_button("📥 Download Logs CSV", csv, "agent_logs.csv")