Update indices_html.py
Browse files- indices_html.py +35 -31
indices_html.py
CHANGED
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@@ -2,8 +2,12 @@ import json
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import pandas as pd
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from nsepython import *
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import html
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import
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def build_indices_html():
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"""
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@@ -13,8 +17,19 @@ def build_indices_html():
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- tables for all categories
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- charts ONLY for key == "INDICES ELIGIBLE IN DERIVATIVES"
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- flexible chart layout (no grid, auto-fit)
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"""
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p = indices() # your existing function
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data_df = p.get("data", pd.DataFrame())
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dates_df = p.get("dates", pd.DataFrame())
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@@ -61,10 +76,6 @@ def build_indices_html():
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# ----------- FLEXIBLE CHART BLOCK -----------
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def build_chart_grid_for_record(r):
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"""
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Flexible chart layout: auto-fit, no fixed grid.
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ONLY for INDICES ELIGIBLE IN DERIVATIVES category.
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"""
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def iframe_if_exists(src, label):
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if src and isinstance(src, str) and src.strip():
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@@ -78,7 +89,7 @@ def build_indices_html():
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today_src = r.get("chartTodayPath") or r.get("chartToday") or ""
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month30_src = r.get("chart30dPath") or r.get("chart30Path") or ""
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year365_src = r.get("chart365dPath") or r.get("chart365")
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block = (
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iframe_if_exists(today_src, "Today Chart") +
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@@ -106,11 +117,11 @@ def build_indices_html():
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# ----------- DATES TABLE -----------
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dates_table_html = ""
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if not dates_df.empty:
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# ----------- GROUP BY KEY ----------
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from collections import defaultdict
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groups = defaultdict(list)
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for r in records:
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groups[r.get("key") or "UNCLASSIFIED"].append(r)
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@@ -120,27 +131,19 @@ def build_indices_html():
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# ----------- PER CATEGORY SECTIONS ----------
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for key_name, recs in groups.items():
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# Determine visible columns
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first = recs[0]
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cols = [c for c in first.keys() if c not in hidden_cols]
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# Preferred order
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preferred = ["indexSymbol", "index", "symbol", "name"]
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ordered = []
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for pkey in preferred:
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if pkey in cols:
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ordered.append(pkey)
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for c in cols:
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if c not in ordered:
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ordered.append(c)
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table_html = build_table_from_records(recs, ordered)
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#
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if str(key_name).strip().upper() == "INDICES ELIGIBLE IN DERIVATIVES":
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charts_html = "\n".join(build_chart_grid_for_record(r) for r in recs)
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else:
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charts_html = ""
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per_key_sections.append(f"""
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<section class="key-section">
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@@ -169,7 +172,6 @@ def build_indices_html():
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margin-bottom: 30px;
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}
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/* FLEXIBLE CHART LAYOUT */
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.chart-flex-block {
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border: 1px solid #ddd;
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background: #fff;
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@@ -202,27 +204,29 @@ def build_indices_html():
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</style>
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"""
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# ----------- FINAL HTML
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"<!DOCTYPE html>",
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"<html><head><meta charset='utf-8'><title>NSE Indices</title>",
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css,
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"</head><body>",
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"<h1>NSE Indices — Full Static Render</h1>",
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f"<div class='meta'>Generated: {html.escape(
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"<h2>Main Indices Table</h2>",
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"<div class='scroll'>", main_table_html, "</div>",
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"<h2>Dates / Meta</h2>" if dates_table_html else "",
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"<div class='scroll'>" if dates_table_html else "",
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dates_table_html,
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"</div>" if dates_table_html else "",
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"<h2>Categories</h2>",
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*per_key_sections,
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"</body></html>"
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]
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return
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import pandas as pd
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from nsepython import *
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import html
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from datetime import datetime as dt
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from collections import defaultdict
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# persist helpers (already exist in your project)
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from persist import exists, load, save
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def build_indices_html():
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"""
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- tables for all categories
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- charts ONLY for key == "INDICES ELIGIBLE IN DERIVATIVES"
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- flexible chart layout (no grid, auto-fit)
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- DAILY CACHE ENABLED
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"""
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# ================= CACHE =================
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today = dt.now().strftime("%Y-%m-%d")
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cache_key = "indices_html"
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if exists(cache_key):
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cached = load(cache_key)
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if isinstance(cached, dict) and cached.get("date") == today:
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return cached.get("html")
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# ================= FETCH DATA =================
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p = indices() # your existing function
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data_df = p.get("data", pd.DataFrame())
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dates_df = p.get("dates", pd.DataFrame())
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# ----------- FLEXIBLE CHART BLOCK -----------
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def build_chart_grid_for_record(r):
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def iframe_if_exists(src, label):
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if src and isinstance(src, str) and src.strip():
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today_src = r.get("chartTodayPath") or r.get("chartToday") or ""
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month30_src = r.get("chart30dPath") or r.get("chart30Path") or ""
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year365_src = r.get("chart365dPath") or r.get("chart365") or ""
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block = (
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iframe_if_exists(today_src, "Today Chart") +
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# ----------- DATES TABLE -----------
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dates_table_html = ""
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if not dates_df.empty:
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dates_table_html = build_table_from_records(
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dates_df.to_dict(orient="records")
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)
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# ----------- GROUP BY KEY ----------
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groups = defaultdict(list)
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for r in records:
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groups[r.get("key") or "UNCLASSIFIED"].append(r)
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# ----------- PER CATEGORY SECTIONS ----------
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for key_name, recs in groups.items():
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first = recs[0]
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cols = [c for c in first.keys() if c not in hidden_cols]
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preferred = ["indexSymbol", "index", "symbol", "name"]
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ordered = [c for c in preferred if c in cols] + [c for c in cols if c not in preferred]
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table_html = build_table_from_records(recs, ordered)
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# Charts only for derivative-eligible indices
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if str(key_name).strip().upper() == "INDICES ELIGIBLE IN DERIVATIVES":
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charts_html = "\n".join(build_chart_grid_for_record(r) for r in recs)
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else:
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charts_html = ""
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per_key_sections.append(f"""
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<section class="key-section">
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margin-bottom: 30px;
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}
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.chart-flex-block {
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border: 1px solid #ddd;
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background: #fff;
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</style>
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"""
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# ----------- FINAL HTML -----------
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html_out = "\n".join([
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"<!DOCTYPE html>",
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"<html><head><meta charset='utf-8'><title>NSE Indices</title>",
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css,
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"</head><body>",
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"<h1>NSE Indices — Full Static Render</h1>",
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f"<div class='meta'>Generated: {html.escape(dt.now().strftime('%Y-%m-%d %H:%M:%S'))}</div>",
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"<h2>Main Indices Table</h2>",
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"<div class='scroll'>", main_table_html, "</div>",
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"<h2>Dates / Meta</h2>" if dates_table_html else "",
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"<div class='scroll'>" if dates_table_html else "",
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dates_table_html,
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"</div>" if dates_table_html else "",
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"<h2>Categories</h2>",
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*per_key_sections,
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"</body></html>"
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])
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# ================= SAVE CACHE =================
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save(cache_key, {
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"date": today,
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"html": html_out
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})
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return html_out
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