Update daily.py
Browse files
daily.py
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@@ -1,4 +1,4 @@
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import pandas as pd
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import io
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import requests
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@@ -44,66 +44,3 @@ def fetch_daily(symbol, source,max_rows=200):
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except Exception as e:
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return html_card("Error", str(e))
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'''
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import io
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import requests
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import pandas as pd
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import yfinance as yf
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from datetime import datetime, timedelta
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from common import html_card, wrap_html
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from ta_indi_pat import talib_df
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import datetime
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from nse import nse_index_df
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def fetch_index(max_rows=200):
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"""
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Fetch NIFTY 50 data using nse_index_df(),
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format each returned DataFrame into its own HTML table.
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"""
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try:
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# ------------------------------------------------
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# Fetch NIFTY 50 → 4 dataframes
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# ------------------------------------------------
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df_market, df_adv, df_meta, df_data = nse_index_df(index_name="NIFTY 50")
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# Debug print
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print("MARKET DF:", df_market.shape)
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print("ADVANCE DECLINE DF:", df_adv.shape)
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print("META DF:", df_meta.shape)
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print("DATA DF:", df_data.shape)
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# ------------------------------------------------
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# Helper for HTML conversion
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# ------------------------------------------------
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def make_table(df):
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return f"""
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<div style="overflow-x:auto; overflow-y:auto; max-height:450px; border:1px solid #ccc; padding:8px; margin-bottom:18px;">
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{df.to_html(classes='table table-striped table-bordered', index=False)}
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</div>
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"""
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# Convert all tables
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html_market = make_table(df_market)
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html_adv = make_table(df_adv)
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html_meta = make_table(df_meta)
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html_data = make_table(df_data)
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# ------------------------------------------------
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# Final HTML layout
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# ------------------------------------------------
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content = f"""
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<h2>NIFTY 50 - Index Report</h2>
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{html_card("Market Overview", html_market)}
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{html_card("Advance / Decline", html_adv)}
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{html_card("Index Meta Information", html_meta)}
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{html_card("Daily OHLCV + Calculated Indicators", html_data)}
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"""
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return wrap_html(content, title="NIFTY 50 Index Data")
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except Exception as e:
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return html_card("Error", str(e))
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import yfinance as yf
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import pandas as pd
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import io
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import requests
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except Exception as e:
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return html_card("Error", str(e))
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