Update index_live_html.py

index_live_html.py

@@ -1,24 +1,49 @@
-
 from nsepython import *
 import pandas as pd
+import os
+from datetime import datetime
+
+# ----------------- CACHE CONFIG -----------------
+CACHE_DIR = "./cache_html"
+os.makedirs(CACHE_DIR, exist_ok=True)
+CACHE_FILE = os.path.join(CACHE_DIR, "index_NIFTY50.html")
+
+def _is_valid_daily(path):
+    if not os.path.exists(path):
+        return False
+    mtime = datetime.fromtimestamp(os.path.getmtime(path))
+    return mtime.date() == datetime.now().date()
+
+def _read_html(path):
+    with open(path, "r", encoding="utf-8") as f:
+        return f.read()
+
+def _write_html(path, html):
+    with open(path, "w", encoding="utf-8") as f:
+        f.write(html)
 
+# ----------------- MAIN FUNCTION -----------------
 def build_index_live_html():
+    # ===== 1️⃣ CACHE CHECK =====
+    if _is_valid_daily(CACHE_FILE):
+        return _read_html(CACHE_FILE)
+
+    # ===== 2️⃣ 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())
-    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
+        const_df = full_df.iloc[1:]
+
         if not const_df.empty:
-            const_df = const_df.iloc[:, 1:]  # Remove first column
+            const_df = const_df.iloc[:, 1:]
 
             # Move segment / time cols
             move_to_info = [c for c in ['segment', 'equityTime', 'preOpenTime'] if c in const_df.columns]
@@ -28,37 +53,37 @@ def build_index_live_html():
 
             # 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"
+                "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"
+                "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 =====
+    # ===== Helper: Color HTML =====
     def df_to_html_color(df, metric_col=None):
         df_html = df.copy()
-        top3_up = []
-        top3_down = []
+        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()
+        if metric_col and metric_col in df_html.columns:
+            col_numeric = pd.to_numeric(df_html[metric_col], errors="coerce").dropna()
             top3_up = col_numeric.nlargest(3).index.tolist()
             top3_down = col_numeric.nsmallest(3).index.tolist()
 
@@ -66,31 +91,22 @@ def build_index_live_html():
             for col in df_html.columns:
                 val = row[col]
                 style = ""
-
-                if isinstance(val, (int, float)) or pd.api.types.is_number(val):
+                if isinstance(val, (int, float)):
                     val_fmt = f"{val:.2f}"
-                    if val > 0:
-                        style = "numeric-positive"
-                    elif val < 0:
-                        style = "numeric-negative"
-
+                    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"
-
+                        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 ""
@@ -106,27 +122,19 @@ def build_index_live_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_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 = const_df[['symbol', col]].copy()
+        df_const[col] = pd.to_numeric(df_const[col], errors="coerce")
         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 class="st-body">{df_to_html_color(df_const, col)}</div>
         </div>
         """
 
@@ -137,72 +145,40 @@ def build_index_live_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; }}
+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;
-    box-shadow: 0 1px 3px rgba(0,0,0,0.12);
-}}
-.card-key {{ font-weight: bold; }}
+.mini-card {{ background: #fff; padding: 8px; border-radius: 6px; }}
 .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;
-}}
+.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>
 
-<div class="compact-section">
-    <h3>Index Info + Main Data</h3>
-    {info_cards_html}
-</div>
+<h3>Index Info + Main Data</h3>
+{info_cards_html}
 
-<div class="compact-section">
-    <h3>Constituents</h3>
-    {cons_html}
-</div>
+<h3>Constituents</h3>
+{cons_html}
 
-<h3>Metric Tables (All Symbols)</h3>
+<h3>Metric Tables</h3>
 <div class="grid">
-    {metric_tables}
+{metric_tables}
 </div>
 
 </body>
 </html>
 """
+
+    # ===== 3️⃣ SAVE CACHE =====
+    _write_html(CACHE_FILE, html)
     return html