| # dashboard/logs.py | |
| import streamlit as st | |
| import pandas as pd | |
| import os | |
| import sqlite3 | |
| DB_PATH = os.path.join("/tmp", "memory.db") | |
| def show_logs(): | |
| st.header("📊 Agent Memory Logs") | |
| 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, "logs.csv") | |