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import yfinance as yf |
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import pandas as pd |
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import pandas.api.types as ptypes |
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import datetime |
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STYLE_BLOCK = """ |
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<style> |
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.styled-table { |
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border-collapse: collapse; |
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margin: 10px 0; |
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font-size: 0.9em; |
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font-family: sans-serif; |
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width: 100%; |
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box-shadow: 0 0 10px rgba(0,0,0,0.1); |
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} |
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.styled-table th, .styled-table td { |
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padding: 8px 10px; |
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border: 1px solid #ddd; |
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} |
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.styled-table tbody tr:nth-child(even) { |
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background-color: #f9f9f9; |
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} |
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.card { |
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width: 95%; |
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margin: 10px auto; |
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padding: 15px; |
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border: 1px solid #ddd; |
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border-radius: 8px; |
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background: #fafafa; |
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box-shadow: 0 2px 5px rgba(0,0,0,0.1); |
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} |
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.card h2 { |
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margin-top:0; |
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} |
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</style> |
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""" |
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def format_large_number(num): |
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if not isinstance(num, (int, float)): |
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return num |
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sign = '-' if num < 0 else '' |
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num = abs(float(num)) |
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if num >= 1_000_000_000_000: |
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return f"{sign}{num / 1_000_000_000_000:.2f} LCr" |
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elif num >= 10_000_000: |
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return f"{sign}{num / 10_000_000:.2f} Cr" |
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elif num >= 100_000: |
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return f"{sign}{num / 100_000:.2f} Lac" |
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else: |
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return f"{sign}{num:,.0f}" |
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def fetch_other(symbol): |
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yfsymbol = f"{symbol}.NS" |
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try: |
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ticker = yf.Ticker(yfsymbol) |
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df = ticker.earnings |
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if df.empty: |
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content_html = f"<h1>No earnings data available for {symbol}</h1>" |
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else: |
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for col in df.columns: |
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if ptypes.is_numeric_dtype(df[col]): |
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df[col] = df[col].apply(format_large_number) |
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content_html = f"<div class='card'><h2>Earnings</h2>{df.to_html(classes='styled-table', border=0)}</div>" |
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except Exception as e: |
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content_html = f"<h1>Error</h1><p>{str(e)}</p>" |
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full_html = f""" |
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<!DOCTYPE html> |
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<html> |
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<head> |
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<title>Earnings for {symbol}</title> |
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{STYLE_BLOCK} |
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</head> |
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<body> |
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{content_html} |
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</body> |
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</html> |
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""" |
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return full_html |
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