Update dashboard/logs.py

dashboard/logs.py

@@ -1,18 +1,29 @@
-# dashboard/logs.py
-
-import streamlit as st
+import sqlite3
 import pandas as pd
+import streamlit as st
 import os
-import sqlite3
 
-# Use the HF‐writable temp path
-DB_PATH = os.path.join("/tmp", "memory.db")
+DB_PATH = os.path.join("/mnt/data", "memory.db")
 
 def show_logs():
-    st.header("🧠 Agent Memory Log Dashboard")
+    # 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 agent_logs ORDER BY timestamp DESC", conn)
+    df = pd.read_sql("SELECT * FROM memory_logs ORDER BY id DESC", conn)
     conn.close()
-    st.dataframe(df)
-    csv = df.to_csv(index=False).encode()
-    st.download_button("📥 Download Logs CSV", csv, "agent_logs.csv")
+
+    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"
+        )