Update daily.py

daily.py

@@ -1,35 +1,37 @@
 # daily.py
 import yfinance as yf
-import pandas as pd
+from common import wrap_html, make_table
 from chart_builder import build_chart
 
-def fetch_daily(symbol):
-    yfs = f"{symbol}.NS"
-    df = yf.download(yfs, period="1y", interval="1d").round(2)
+# ============================================================
+#                  DAILY DATA PROCESSING
+# ============================================================
 
-    if df.empty:
-        return {
-            "html": f"<h1>No daily data for {symbol}</h1>",
-            "data": {}
-        }
+def fetch_daily(symbol, indicators=None):
+    """
+    Fetch daily data for 1 year, apply indicators, and return full HTML.
+    """
+    yfsymbol = f"{symbol}.NS"
+    try:
+        # Fetch 1-year daily data
+        df = yf.download(yfsymbol, period="1y", interval="1d").round(2)
+        if df.empty:
+            return wrap_html(f"<h1>No daily data available for {symbol}</h1>")
 
-    chart_html = build_chart(df)
+        # Reset MultiIndex if exists
+        if isinstance(df.columns, pd.MultiIndex):
+            df.columns = df.columns.get_level_values(0)
 
-    table_html = df.tail(30).to_html(
-        classes="styled-table",
-        border=0
-    )
+        # Build chart with optional indicators
+        chart_html = build_chart(df, indicators=indicators, volume=True)
 
-    final = f"""
-    <div class="group">
-        <h2>Daily Chart — {symbol}</h2>
-        {chart_html}
-        <h3>Last 30 Days Data</h3>
-        {table_html}
-    </div>
-    """
+        # Format last 30 rows for table
+        table_html = make_table(df.tail(30))
+
+        # Wrap in full HTML
+        full_html = wrap_html(f"{chart_html}<h2>Recent Daily Data (last 30 rows)</h2>{table_html}",
+                              title=f"Daily Data for {symbol}")
+        return full_html
 
-    return {
-        "html": final,
-        "data": df.tail(30).to_dict()
-    }
+    except Exception as e:
+        return wrap_html(f"<h1>Error fetching daily data for {symbol}</h1><p>{str(e)}</p>")