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import yfinance as yf |
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from common import make_table, wrap_html, format_large_number, html_error |
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def fetch_cashflow(symbol): |
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yfsymbol = symbol + ".NS" |
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try: |
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ticker = yf.Ticker(yfsymbol) |
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df = ticker.cashflow |
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if df.empty: |
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return wrap_html(f"<h1>No cash flow data available for {symbol}</h1>") |
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df_formatted = df.copy() |
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for col in df_formatted.columns: |
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df_formatted[col] = df_formatted[col].apply( |
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lambda x: format_large_number(x) if isinstance(x, (int, float)) else x |
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) |
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df_formatted.index = [str(i.date()) if hasattr(i, "date") else str(i) for i in df_formatted.index] |
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table_html = make_table(df_formatted) |
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return wrap_html(table_html, title=f"{symbol} - Cash Flow") |
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except Exception as e: |
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return wrap_html(html_error(f"Failed to fetch cash flow data: {e}")) |
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