Update daily.py

daily.py

@@ -6,48 +6,51 @@ from common import html_card, wrap_html
 
 def fetch_daily(symbol, max_rows=200):
     """
-    Fetch daily OHLCV data, calculate indicators + patterns, handle multilevel headers,
-    and return a scrollable HTML table (x and y).
+    Fetch daily OHLCV data, calculate indicators + patterns,
+    and return 3 separate scrollable HTML tables: OHLCV, indicators, patterns.
     """
     try:
         # --- Fetch historical data ---
         df = yf.download(symbol + ".NS", period="1y", interval="1d").round(2)
-        
+ 
         if isinstance(df.columns, pd.MultiIndex):
-            df.columns = df.columns.get_level_values(0)
-
+                df.columns = df.columns.get_level_values(0)
+            
         if df.empty:
             return html_card("Error", f"No daily data found for {symbol}")
         df.reset_index(inplace=True)
+        df = df.head(max_rows)
 
         # --- Calculate indicators and patterns ---
-        indicator_df = indicators(df)
-        pattern_df = patterns(df)
-
-        # --- Combine OHLCV + indicators + patterns ---
-        combined_df = pd.concat([df, indicator_df, pattern_df], axis=1)
+        indicator_df = indicators(df).head(max_rows)
+        pattern_df = patterns(df).head(max_rows)
 
         # --- Handle MultiIndex columns: take only 0th level ---
-        if isinstance(combined_df.columns, pd.MultiIndex):
-            combined_df.columns = combined_df.columns.get_level_values(0)
 
-        # --- Limit rows for display ---
-        combined_df = combined_df.head(max_rows)
 
-        # --- Convert to HTML table ---
-        table_html = combined_df.to_html(classes="table table-striped table-bordered", border=0, index=False)
-
-        # --- Wrap table in scrollable div ---
-        scrollable_table_html = f"""
-        <div style="overflow-x:auto; overflow-y:auto; max-height:600px; border:1px solid #ccc; padding:5px;">
-            {table_html}
+        # --- Convert each DataFrame to HTML table ---
+        daily_table_html = f"""
+        <div style="overflow-x:auto; overflow-y:auto; max-height:400px; border:1px solid #ccc; padding:5px;">
+            {df.to_html(classes="table table-striped table-bordered", index=False)}
+        </div>
+        """
+        indicator_table_html = f"""
+        <div style="overflow-x:auto; overflow-y:auto; max-height:400px; border:1px solid #ccc; padding:5px;">
+            {indicator_df.to_html(classes="table table-striped table-bordered", index=False)}
+        </div>
+        """
+        pattern_table_html = f"""
+        <div style="overflow-x:auto; overflow-y:auto; max-height:400px; border:1px solid #ccc; padding:5px;">
+            {pattern_df.to_html(classes="table table-striped table-bordered", index=False)}
         </div>
         """
 
-        # --- Wrap in card and full HTML ---
+        # --- Wrap each in card ---
         content = f"""
         <h2>{symbol} - Daily Data</h2>
-        {html_card("Data Table", scrollable_table_html)}
+        {html_card("Daily OHLCV Data", daily_table_html)}
+        {html_card("Indicator Data", indicator_table_html)}
+        {html_card("Pattern Data", pattern_table_html)}
         """
 
         return wrap_html(content, title=f"{symbol} Daily Data")