Update daily.py

daily.py

@@ -3,30 +3,39 @@ import yfinance as yf
 import pandas as pd
 from indicater import calculate_indicators
 from chart_builder import build_chart
-from common import html_card, wrap_html
+from common import html_card, html_section, wrap_html, clean_df, make_table
 
 def fetch_daily(symbol):
-    """
-    Fetch daily stock data, compute indicators, return full HTML
-    """
     try:
-        df = yf.download(symbol, period='6mo', interval='1d', auto_adjust=True)
-        if isinstance(df.columns, pd.MultiIndex):
-            df.columns = df.columns.get_level_values(0)  # flatten multi-level headers
+        # --- Fetch data from Yahoo Finance ---
+        data = yf.download(symbol + ".NS", period="6mo", interval="1d", progress=False)
+        if isinstance(data.columns, pd.MultiIndex):
+            data.columns = data.columns.get_level_values(0)  # flatten multi-level header
 
-        df.reset_index(inplace=True)
-        df.rename(columns={'Date':'Datetime'}, inplace=True)
-        df.set_index('Datetime', inplace=True)
-        if 'Volume' not in df.columns:
-            df['Volume'] = 1
+        # Ensure OHLCV columns
+        for col in ['Open', 'High', 'Low', 'Close', 'Volume']:
+            if col not in data.columns:
+                data[col] = 0
 
-        # Calculate indicators
-        indicators = calculate_indicators(df)
+        data = clean_df(data)
 
-        # Build chart
-        html_chart = build_chart(df, indicators=indicators)
+        # --- Calculate all indicators ---
+        indicators = calculate_indicators(data)
+
+        # --- Build Plotly chart ---
+        chart_html = build_chart(data, indicators)
+
+        # --- Build data table for the same DataFrame + indicators ---
+        df_table = data.copy()
+        for ind_name, ind_series in indicators.items():
+            df_table[ind_name] = ind_series
+
+        table_html = make_table(df_table)
+
+        # --- Wrap chart + table in card ---
+        content = html_card(f"{symbol} Daily Chart", chart_html + table_html)
+
+        return wrap_html(content, title=f"{symbol} Daily Data")
 
-        return wrap_html(html_card(f"{symbol} Daily Chart", html_chart))
     except Exception as e:
-        import traceback
-        return wrap_html(html_card("Error", f"{e}<br><pre>{traceback.format_exc()}</pre>"))
+        return wrap_html(html_section("Error", str(e)), title="Error")