Update qresult.py
Browse files- qresult.py +90 -73
qresult.py
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# qresult.py
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import yfinance as yf
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import pandas as pd
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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_qresult(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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except Exception as e:
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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>Quarterly Results 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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# qresult.py
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import yfinance as yf
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import pandas as pd
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from common import (
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format_large_number,
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format_timestamp_to_date,
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format_number,
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wrap_html,
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STYLE_BLOCK
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)
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def fetch_qresult(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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# Fetch data
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q = ticker.quarterly_financials
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y = ticker.financials
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bs = ticker.balance_sheet
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cf = ticker.cashflow
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if q is None or q.empty:
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return wrap_html(
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f"Quarterly Results: {symbol}",
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"<h2>No quarterly data available</h2>"
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)
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# Transpose for nicer table format
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q_t = q.T
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y_t = y.T if y is not None else None
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bs_t = bs.T if bs is not None else None
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cf_t = cf.T if cf is not None else None
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# Format numeric values
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def format_df(df):
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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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# Fix date index
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df_formatted.index = [
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format_timestamp_to_date(i.timestamp()) if hasattr(i, "timestamp") else str(i)
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for i in df_formatted.index
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]
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return df_formatted
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q_html = format_df(q_t).to_html(classes="styled-table", border=0)
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y_html = ""
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if y_t is not None:
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y_html = format_df(y_t).to_html(classes="styled-table", border=0)
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bs_html = ""
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if bs_t is not None:
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bs_html = format_df(bs_t).to_html(classes="styled-table", border=0)
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cf_html = ""
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if cf_t is not None:
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cf_html = format_df(cf_t).to_html(classes="styled-table", border=0)
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# Build sections
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content = f"""
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<div class='big-box'>
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<h2>Quarterly Results</h2>
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{q_html}
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</div>
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"""
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if y_html:
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content += f"""
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<div class='big-box'>
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<h2>Annual Results</h2>
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{y_html}
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</div>
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"""
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if bs_html:
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content += f"""
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<div class='big-box'>
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<h2>Balance Sheet</h2>
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{bs_html}
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</div>
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"""
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if cf_html:
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content += f"""
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<div class='big-box'>
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<h2>Cash Flow</h2>
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{cf_html}
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</div>
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"""
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return wrap_html(f"Quarterly Results — {symbol}", content)
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except Exception as e:
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return wrap_html("Error", f"<h3>Error fetching results</h3><p>{str(e)}</p>")
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