feat:

--ADDED Largest tables api
	--ADDED Database size
	--REST API

main.py

@@ -981,16 +981,171 @@ async def database_locks_deadlocks_monitor(websocket: WebSocket):
         print("Locks and deadlocks WebSocket disconnected")
 
 
+#GET DATABASE SIZE
+def get_database_size(data: DatabaseRequest):
+
+    conn = None
+    cursor = None
+
+    try:
+
+        conn = psycopg2.connect(
+            host=data.host,
+            port=data.port,
+            dbname=data.dbname,
+            user=data.user,
+            password=data.password,
+            connect_timeout=3
+        )
+
+        cursor = conn.cursor()
+
+        cursor.execute("""
+            SELECT
+                pg_database_size(%s) AS size_bytes,
+                ROUND(
+                    pg_database_size(%s)::numeric
+                    / 1024 / 1024 / 1024,
+                    2
+                ) AS size_gb;
+        """, (
+            data.dbname,
+            data.dbname
+        ))
+
+        row = cursor.fetchone()
+
+        return {
+            "database_name": data.dbname,
+            "size_bytes": row[0],
+            "size_gb": float(row[1])
+        }
+
+    except psycopg2.Error as e:
+
+        return {
+            "database_name": data.dbname,
+            "size_bytes": None,
+            "size_gb": None,
+            "error": str(e)
+        }
+
+    finally:
+
+        if cursor:
+            cursor.close()
+
+        if conn:
+            conn.close()
+
+
+# API ENDPOINTS FOR DATABASE SIZE 
+@app.post("/database/size")
+def database_size(
+    data: DatabaseRequest,
+    token_data: dict = Depends(verify_token)
+):
+
+    return get_database_size(data)
 
 
 
+# API ENDPOINTS FOR LARGEST TABLES
+def get_largest_tables(
+    data: DatabaseRequest,
+    limit: int = 10
+):
+
+    conn = None
+    cursor = None
+
+    try:
+
+        conn = psycopg2.connect(
+            host=data.host,
+            port=data.port,
+            dbname=data.dbname,
+            user=data.user,
+            password=data.password,
+            connect_timeout=3
+        )
+
+        cursor = conn.cursor(
+            cursor_factory=RealDictCursor
+        )
+
+        cursor.execute("""
+            SELECT
+                schemaname,
+                relname AS table_name,
+
+                pg_total_relation_size(
+                    quote_ident(schemaname) || '.' ||
+                    quote_ident(relname)
+                ) AS size_bytes,
+
+                ROUND(
+                    pg_total_relation_size(
+                        quote_ident(schemaname) || '.' ||
+                        quote_ident(relname)
+                    )::numeric
+                    / 1024 / 1024,
+                    2
+                ) AS size_mb
+
+            FROM pg_stat_user_tables
+
+            ORDER BY size_bytes DESC
+
+            LIMIT %s;
+        """, (limit,))
+
+        rows = cursor.fetchall()
+
+        return {
+            "database_name": data.dbname,
+            "table_count": len(rows),
+
+            "tables": [
+                {
+                    "schema": row["schemaname"],
+                    "table_name": row["table_name"],
+                    "size_bytes": row["size_bytes"],
+                    "size_mb": float(row["size_mb"])
+                }
+                for row in rows
+            ]
+        }
+
+    except psycopg2.Error as e:
+
+        return {
+            "database_name": data.dbname,
+            "table_count": None,
+            "tables": [],
+            "error": str(e)
+        }
+
+    finally:
+
+        if cursor:
+            cursor.close()
+
+        if conn:
+            conn.close()
 
 
+# SHOWS THE LIST OF TABLES IN THE DATABASE SORTED BY SIZE
+@app.post("/database/largest-tables")
+def database_largest_tables(
+    data: DatabaseRequest,
+    token_data: dict = Depends(verify_token)
+):
 
-
-
-
-
+    return get_largest_tables(
+        data,
+        limit=10
+    )