fix: Properly use context manager for database connections in scanners

src/screener/t_atr_ema.py

@@ -65,10 +65,9 @@ def run_atr_ema_scanner(min_price: float, max_price: float, min_volume: int, por
     start_ts = int(start_date.timestamp() * 1000000000)
     end_ts = int(end_date.timestamp() * 1000000000)
     
-    client = create_client()
-    
     try:
-        query = f"""
+        with create_client() as client:
+            query = f"""
             WITH latest_data AS (
                 SELECT 
                     ticker,

src/screener/t_atr_ema_v2.py

@@ -73,11 +73,10 @@ def run_atr_ema_scanner_v2(min_price: float, max_price: float, min_volume: int,
     start_ts = int(start_date.timestamp() * 1000000000)
     end_ts = int(end_date.timestamp() * 1000000000)
     
-    client = create_client()
-    
     try:
-        # Query to get qualified stocks
+        with create_client() as client:
-        query = f"""
+            # Query to get qualified stocks
+            query = f"""
             WITH latest_data AS (
                 SELECT 
                     ticker,

src/screener/t_sunnyband.py

@@ -50,14 +50,14 @@ def check_entry_signal(df: pd.DataFrame) -> list:
 
 def get_valid_tickers(min_price: float, max_price: float, min_volume: int, interval: str) -> list:
     """Get tickers that meet the price and volume criteria"""
-    client = create_client()
-    
     # Get the most recent trading day
     today = datetime.now().date()
     yesterday = today - timedelta(days=1)
     
-    # First get valid tickers from daily data
+    try:
-    daily_query = f"""
+        with create_client() as client:
+            # First get valid tickers from daily data
+            daily_query = f"""
         SELECT DISTINCT ticker
         FROM stock_db.stock_prices_daily
         WHERE date = '{yesterday}'
@@ -104,9 +104,9 @@ def view_stock_details(ticker: str, interval: str, start_date: datetime, end_dat
     print(f"Date Range: {start_date.date()} to {end_date.date()}")
     
     try:
-        # Construct query
+        with create_client() as client:
-        client = create_client()
+            # Construct query
-        today = datetime.now().date()
+            today = datetime.now().date()
         start_date = today - timedelta(days=60)
         
         if interval == "daily":
@@ -209,14 +209,14 @@ def run_sunny_scanner(min_price: float, max_price: float, min_volume: int, portf
     start_date, end_date = get_date_range()
     
     # First get qualified stocks from database
-    client = create_client()
-    
     # Convert dates to Unix timestamp in nanoseconds
     end_ts = int(end_date.timestamp() * 1000000000)
     start_ts = int(start_date.timestamp() * 1000000000)
     
-    # Query to get stocks meeting criteria with their latest data
+    try:
-    query = f"""
+        with create_client() as client:
+            # Query to get stocks meeting criteria with their latest data
+            query = f"""
     WITH latest_data AS (
         SELECT 
             ticker,