backend / index_live_html.py
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Update index_live_html.py
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from nsepython import *
import pandas as pd
def build_index_live_html():
index_name = "NIFTY 50"
p = nse_index_live(index_name)
full_df = p.get("data", pd.DataFrame())
rem_df = p.get("rem", pd.DataFrame())
print(rem_df)
print(full_df)
if full_df.empty:
main_df = pd.DataFrame()
const_df = pd.DataFrame()
else:
main_df = full_df.iloc[[0]]
const_df = full_df.iloc[1:] # Constituents
if not const_df.empty:
const_df = const_df.iloc[:, 1:] # Remove first column
# Move segment / time cols
move_to_info = [c for c in ['segment', 'equityTime', 'preOpenTime'] if c in const_df.columns]
if move_to_info:
rem_df = pd.concat([rem_df, const_df[move_to_info].iloc[[0]]], axis=1)
const_df = const_df.drop(columns=move_to_info)
# Drop cols (constituents)
drop_cols_const = [
"identifier", "ffmc", "stockIndClosePrice", "lastUpdateTime",
"chartTodayPath", "chart30dPath", "chart365dPath", "series",
"symbol_meta", "activeSeries", "debtSeries", "isFNOSec",
"isCASec", "isSLBSec", "isDebtSec", "isSuspended",
"tempSuspendedSeries", "isETFSec", "isDelisted",
"slb_isin", "isMunicipalBond", "isHybridSymbol", "QuotePreOpenFlag"
]
const_df = const_df.drop(columns=[c for c in drop_cols_const if c in const_df.columns])
# Drop cols (main)
drop_cols_main = [
"series", "symbol_meta", "companyName", "industry", "activeSeries", "debtSeries",
"isFNOSec", "isCASec", "isSLBSec", "isDebtSec", "isSuspended", "tempSuspendedSeries",
"isETFSec", "isDelisted", "isin", "slb_isin", "listingDate", "isMunicipalBond",
"isHybridSymbol", "segment", "equityTime", "preOpenTime", "QuotePreOpenFlag"
]
main_df = main_df.drop(columns=[c for c in drop_cols_main if c in main_df.columns])
# Sort by pChange
if 'pChange' in const_df.columns:
const_df['pChange'] = pd.to_numeric(const_df['pChange'], errors='coerce')
const_df = const_df.sort_values('pChange', ascending=False)
# ===== Helper: Convert DF to color-coded HTML =====
def df_to_html_color(df, metric_col=None):
df_html = df.copy()
top3_up = []
top3_down = []
if metric_col and metric_col in df_html.columns and pd.api.types.is_numeric_dtype(df_html[metric_col]):
col_numeric = df_html[metric_col].dropna()
top3_up = col_numeric.nlargest(3).index.tolist()
top3_down = col_numeric.nsmallest(3).index.tolist()
for idx, row in df_html.iterrows():
for col in df_html.columns:
val = row[col]
style = ""
if isinstance(val, (int, float)) or pd.api.types.is_number(val):
val_fmt = f"{val:.2f}"
if val > 0:
style = "numeric-positive"
elif val < 0:
style = "numeric-negative"
if metric_col and col == metric_col:
if idx in top3_up:
style += " top-up"
elif idx in top3_down:
style += " top-down"
df_html.at[idx, col] = f'<span class="{style.strip()}">{val_fmt}</span>'
else:
df_html.at[idx, col] = str(val)
return df_html.to_html(index=False, escape=False, classes="compact-table")
# ===== Merge info + main into cards =====
def merge_info_main_cards(rem_df, main_df):
combined = pd.concat([rem_df, main_df], axis=1)
combined = combined.loc[:, ~combined.columns.duplicated()]
html = '<div class="mini-card-container">'
for col in combined.columns:
val = combined.at[0, col] if not combined.empty else ""
html += f"""
<div class="mini-card">
<div class="card-key">{col}</div>
<div class="card-val">{val}</div>
</div>
"""
html += "</div>"
return html
info_cards_html = merge_info_main_cards(rem_df, main_df)
cons_html = df_to_html_color(const_df)
# ===== Metric tables =====
metric_cols = [
"pChange", "totalTradedValue", "nearWKH", "nearWKL",
"perChange365d", "perChange30d"
]
metric_tables = ""
for col in metric_cols:
if col not in const_df.columns:
continue
df_const = const_df.copy()
df_const[col] = pd.to_numeric(df_const[col], errors="ignore")
df_const = df_const.sort_values(col, ascending=False)
df_html = df_to_html_color(df_const[['symbol', col]], metric_col=col)
metric_tables += f"""
<div class="small-table">
<div class="st-title">{col}</div>
<div class="st-body">{df_html}</div>
</div>
"""
# ===== FINAL HTML =====
html = f"""
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<style>
/* CSS unchanged */
body {{
font-family: Arial;
margin: 12px;
background: #f5f5f5;
color: #222;
font-size: 14px;
}}
table {{
border-collapse: collapse;
width: 100%;
}}
th, td {{
border: 1px solid #bbb;
padding: 5px 8px;
}}
.compact-table td.numeric-positive {{ color: green; font-weight: bold; }}
.compact-table td.numeric-negative {{ color: red; font-weight: bold; }}
.compact-table td.top-up {{ background: #a8f0a5; }}
.compact-table td.top-down {{ background: #f0a8a8; }}
.mini-card-container {{ display: flex; flex-wrap: wrap; gap: 10px; }}
.mini-card {{
background: #fff; padding: 8px; border-radius: 6px;
box-shadow: 0 1px 3px rgba(0,0,0,0.12);
}}
.card-key {{ font-weight: bold; }}
.grid {{ display: grid; grid-template-columns: repeat(5, 1fr); gap: 12px; }}
.small-table {{
background: white;
border-radius: 6px;
padding: 8px;
box-shadow: 0px 1px 4px rgba(0,0,0,0.15);
}}
.st-title {{
text-align: center;
background: #222;
color: white;
padding: 5px;
border-radius: 4px;
}}
.st-body {{
max-height: 300px;
overflow-y: auto;
}}
</style>
</head>
<body>
<h2>Live Index Data: NIFTY 50</h2>
<div class="compact-section">
<h3>Index Info + Main Data</h3>
{info_cards_html}
</div>
<div class="compact-section">
<h3>Constituents</h3>
{cons_html}
</div>
<h3>Metric Tables (All Symbols)</h3>
<div class="grid">
{metric_tables}
</div>
</body>
</html>
"""
return html