Delete index.py

index.py

@@ -1,116 +0,0 @@
-'''import io
-import requests
-import pandas as pd
-import yfinance as yf
-from datetime import datetime, timedelta
-
-from common import html_card, wrap_html
-from ta_indi_pat import talib_df
-import datetime
-from nse import nse_index_df
-
-
-def fetch_index(max_rows=200):
-    """
-    Fetch NIFTY 50 (^NSEI) 1-year OHLCV data from Yahoo Finance,
-    add TA-Lib indicators + candlestick patterns,
-    return HTML table inside a scrollable container.
-    """
-
-    try:
-        # ----------------------------------
-        # Fetch NIFTY 50 data
-        # ----------------------------------
-        df = nse_index_df(index_name="NIFTY 50")
-        
-        print(df)
-        if df.empty:
-            return html_card("Error", "No data found for NIFTY 50 (^NSEI).")
-
-
-        # ----------------------------------
-        # Convert to HTML
-        # ----------------------------------
-        table_html = df.to_html(
-            classes="table table-striped table-bordered",
-            index=False
-        )
-
-        scrollable_html = f"""
-        <div style="overflow-x:auto; overflow-y:auto; max-height:650px; border:1px solid #ccc; padding:8px;">
-            {table_html}
-        </div>
-        """
-
-        content = f"""
-        <h2>NIFTY 50 </h2>
-        {html_card("Technical Analysis Table", scrollable_html)}
-        """
-
-        return wrap_html(content, title="NIFTY 50 Daily Data")
-
-    except Exception as e:
-        return html_card("Error", str(e))
-'''
-import io
-import requests
-import pandas as pd
-import yfinance as yf
-from datetime import datetime, timedelta
-
-from common import html_card, wrap_html
-from ta_indi_pat import talib_df
-import datetime
-from nse import nse_index_df
-
-
-def fetch_index(max_rows=200):
-    """
-    Fetch NIFTY 50 data using nse_index_df(),
-    format each returned DataFrame into its own HTML table.
-    """
-
-    try:
-        # ------------------------------------------------
-        # Fetch NIFTY 50 → 4 dataframes
-        # ------------------------------------------------
-        df_market, df_adv, df_meta, df_data = nse_index_df(index_name="NIFTY 50")
-
-        # Debug print
-        print("MARKET DF:", df_market.shape)
-        print("ADVANCE DECLINE DF:", df_adv.shape)
-        print("META DF:", df_meta.shape)
-        print("DATA DF:", df_data.shape)
-
-        # ------------------------------------------------
-        # Helper for HTML conversion
-        # ------------------------------------------------
-        def make_table(df):
-            return f"""
-            <div style="overflow-x:auto; overflow-y:auto; max-height:450px; border:1px solid #ccc; padding:8px; margin-bottom:18px;">
-                {df.to_html(classes='table table-striped table-bordered', index=False)}
-            </div>
-            """
-
-        # Convert all tables
-        html_market = make_table(df_market)
-        html_adv    = make_table(df_adv)
-        html_meta   = make_table(df_meta)
-        html_data   = make_table(df_data)
-
-        # ------------------------------------------------
-        # Final HTML layout
-        # ------------------------------------------------
-        content = f"""
-        <h2>NIFTY 50 - Index Report</h2>
-
-        {html_card("Market Overview", html_market)}
-        {html_card("Advance / Decline", html_adv)}
-        {html_card("Index Meta Information", html_meta)}
-        {html_card("Daily OHLCV + Calculated Indicators", html_data)}
-        """
-
-        return wrap_html(content, title="NIFTY 50 Index Data")
-
-    except Exception as e:
-        return html_card("Error", str(e))