Delete index_live_html.py

index_live_html.py

@@ -1,185 +0,0 @@
-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