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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"
)
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