Upload database.py

back_end/application/database.py

@@ -1,25 +1,23 @@
+import os
 import sqlite3
 import pandas as pd
-import os
 
-DB_PATH = "/workspace/data/veludb.db"
+# DB_PATH = r"E:/Healthcare_chat_AI/data/veludb.db"
+DB_PATH = f"{os.path.dirname(os.path.dirname(os.path.dirname(__file__)))}/data/veludb.db"
+# print(DB_PATH)
+# print("Database exists:", os.path.exists(DB_PATH))
 
-# Ensure database exists before connecting
-if not os.path.exists(DB_PATH):
-    raise FileNotFoundError(f"❌ Database file not found at {DB_PATH}")
 
 def fetch_data():
-    try:
-        conn = sqlite3.connect(DB_PATH)
-        query = "SELECT * FROM healthcare_data;"
-        df = pd.read_sql(query, conn)
-        conn.close()
-        return df
-    except sqlite3.Error as e:
-        print(f"❌ Database error: {e}")
-        return None
+    conn = sqlite3.connect(DB_PATH)
+    query = "SELECT * FROM healthcare_data;"  # Fetch 5 rows
+    df = pd.read_sql(query, conn)
+    conn.close()
+    return df
+
+df =fetch_data()
+df.drop_duplicates(inplace=True)
+# print(df)  # Display the first 5 rows
+
+
 
-df = fetch_data()
-if df is not None:
-    df.drop_duplicates(inplace=True)
-    print("✅ Data loaded successfully!")