Create index_live_html.py

app/index_live_html.py

@@ -0,0 +1,185 @@
+from nsepython import *
+import pandas as pd
+from datetime import datetime as dt
+
+# persist helpers (HF only)
+from persist import exists, load, save
+
+
+def build_index_live_html():
+    """
+    Live HTML for NIFTY 50
+    - Intraday TTL (15 minutes)
+    - HTML only cache
+    - persist.py controls validity
+    """
+
+    # ================= CACHE (TTL via persist) =================
+    cache_name = "INTRADAY_INDEX_LIVE_NIFTY50"
+
+    if exists(cache_name, "html"):
+        cached_html = load(cache_name, "html")
+        if isinstance(cached_html, str):
+            return cached_html
+
+    # ================= LIVE FETCH =================
+    index_name = "NIFTY 50"
+    p = nse_index_live(index_name)
+
+    full_df = p.get("data", pd.DataFrame())
+    rem_df  = p.get("rem", pd.DataFrame())
+
+    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:]
+
+        if not const_df.empty:
+            const_df = const_df.iloc[:, 1:]
+
+            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_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 = [
+                "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])
+
+            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)
+
+    # ================= HTML HELPERS =================
+    def df_to_html_color(df, metric_col=None):
+        df_html = df.copy()
+        top_up, top_down = [], []
+
+        if metric_col and metric_col in df_html.columns:
+            col_num = pd.to_numeric(df_html[metric_col], errors="coerce").dropna()
+            top_up = col_num.nlargest(3).index.tolist()
+            top_down = col_num.nsmallest(3).index.tolist()
+
+        for idx, row in df_html.iterrows():
+            for col in df_html.columns:
+                val = row[col]
+                cls = ""
+                if isinstance(val, (int, float)):
+                    val_fmt = f"{val:.2f}"
+                    if val > 0:
+                        cls = "numeric-positive"
+                    elif val < 0:
+                        cls = "numeric-negative"
+                    if metric_col and col == metric_col:
+                        if idx in top_up:
+                            cls += " top-up"
+                        elif idx in top_down:
+                            cls += " top-down"
+                    df_html.at[idx, col] = f'<span class="{cls.strip()}">{val_fmt}</span>'
+                else:
+                    df_html.at[idx, col] = str(val)
+
+        return df_html.to_html(index=False, escape=False, classes="compact-table")
+
+    def build_info_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 = build_info_cards(rem_df, main_df)
+    cons_html = df_to_html_color(const_df)
+
+    metric_cols = [
+        "pChange","totalTradedValue","nearWKH",
+        "nearWKL","perChange365d","perChange30d"
+    ]
+
+    metric_tables = ""
+    for col in metric_cols:
+        if col not in const_df.columns:
+            continue
+        df_m = const_df[["symbol", col]].copy()
+        df_m[col] = pd.to_numeric(df_m[col], errors="coerce")
+        df_m = df_m.sort_values(col, ascending=False)
+
+        metric_tables += f"""
+        <div class="small-table">
+            <div class="st-title">{col}</div>
+            <div class="st-body">{df_to_html_color(df_m, col)}</div>
+        </div>
+        """
+
+    # ================= FINAL HTML =================
+    html_out = f"""
+<!DOCTYPE html>
+<html>
+<head>
+<meta charset="UTF-8">
+<style>
+body {{ font-family: Arial; margin: 12px; background: #f5f5f5; font-size: 14px; }}
+table {{ border-collapse: collapse; width: 100%; }}
+th, td {{ border: 1px solid #bbb; padding: 5px 8px; }}
+.numeric-positive {{ color: green; font-weight: bold; }}
+.numeric-negative {{ color: red; font-weight: bold; }}
+.top-up {{ background: #a8f0a5; }}
+.top-down {{ background: #f0a8a8; }}
+.mini-card-container {{ display: flex; flex-wrap: wrap; gap: 10px; }}
+.mini-card {{ background: #fff; padding: 8px; border-radius: 6px; }}
+.grid {{ display: grid; grid-template-columns: repeat(5, 1fr); gap: 12px; }}
+.small-table {{ background: white; padding: 8px; border-radius: 6px; }}
+.st-title {{ background: #222; color: white; text-align: center; padding: 5px; }}
+.st-body {{ max-height: 300px; overflow-y: auto; }}
+</style>
+</head>
+<body>
+
+<h2>Live Index Data: NIFTY 50</h2>
+
+<h3>Index Info</h3>
+{info_cards_html}
+
+<h3>Constituents</h3>
+{cons_html}
+
+<h3>Metric Tables</h3>
+<div class="grid">
+{metric_tables}
+</div>
+
+</body>
+</html>
+"""
+
+    # ================= SAVE (HTML ONLY) =================
+    save(cache_name, html_out, "html")
+
+    return html_out