Create eq_html.py
Browse files- eq_html.py +156 -0
eq_html.py
ADDED
|
@@ -0,0 +1,156 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
from nsepython import *
|
| 2 |
+
def build_eq_html(symbol):
|
| 3 |
+
"""Build full HTML page for eq(symbol) output, similar to build_indices_html."""
|
| 4 |
+
|
| 5 |
+
import json
|
| 6 |
+
import pandas as pd
|
| 7 |
+
|
| 8 |
+
# -------------------------------------------------------
|
| 9 |
+
# CALL eq() function internally
|
| 10 |
+
# -------------------------------------------------------
|
| 11 |
+
out = eq(symbol) # <-- your existing eq(symbol)
|
| 12 |
+
if not isinstance(out, dict):
|
| 13 |
+
return "<h3>Error: EQ data not available</h3>"
|
| 14 |
+
|
| 15 |
+
# -------------------------------------------------------
|
| 16 |
+
# Helper to convert DF → HTML table
|
| 17 |
+
# -------------------------------------------------------
|
| 18 |
+
def df_to_table(df):
|
| 19 |
+
if df is None or len(df) == 0:
|
| 20 |
+
return '<div class="empty">No data</div>'
|
| 21 |
+
return df.to_html(index=False, escape=False, border=0, classes="tbl")
|
| 22 |
+
|
| 23 |
+
# -------------------------------------------------------
|
| 24 |
+
# ORDER — metadata FIRST (date table)
|
| 25 |
+
# -------------------------------------------------------
|
| 26 |
+
section_order = [
|
| 27 |
+
"metadata",
|
| 28 |
+
"securityInfo",
|
| 29 |
+
"priceInfo",
|
| 30 |
+
"industryInfo",
|
| 31 |
+
"pdSectorIndAll",
|
| 32 |
+
"info",
|
| 33 |
+
"preOpen",
|
| 34 |
+
"preOpenMarket"
|
| 35 |
+
]
|
| 36 |
+
|
| 37 |
+
# Normalize all values into DataFrame
|
| 38 |
+
normalized = {}
|
| 39 |
+
for sec in section_order:
|
| 40 |
+
val = out.get(sec, None)
|
| 41 |
+
if isinstance(val, pd.DataFrame):
|
| 42 |
+
normalized[sec] = val
|
| 43 |
+
elif isinstance(val, list):
|
| 44 |
+
normalized[sec] = pd.DataFrame(val)
|
| 45 |
+
elif isinstance(val, dict):
|
| 46 |
+
normalized[sec] = pd.DataFrame([val])
|
| 47 |
+
else:
|
| 48 |
+
normalized[sec] = pd.DataFrame()
|
| 49 |
+
|
| 50 |
+
# -------------------------------------------------------
|
| 51 |
+
# Build sections HTML
|
| 52 |
+
# -------------------------------------------------------
|
| 53 |
+
section_html = ""
|
| 54 |
+
for sec in section_order:
|
| 55 |
+
df = normalized[sec]
|
| 56 |
+
section_html += f"""
|
| 57 |
+
<div class="section">
|
| 58 |
+
<div class="section-header">
|
| 59 |
+
<div class="section-title">{sec}</div>
|
| 60 |
+
<button class="toggle-btn" onclick="toggleSection('{sec}')">View / Hide</button>
|
| 61 |
+
</div>
|
| 62 |
+
<div id="{sec}" class="section-body">
|
| 63 |
+
{df_to_table(df)}
|
| 64 |
+
</div>
|
| 65 |
+
</div>
|
| 66 |
+
"""
|
| 67 |
+
|
| 68 |
+
# -------------------------------------------------------
|
| 69 |
+
# FINAL HTML PAGE
|
| 70 |
+
# -------------------------------------------------------
|
| 71 |
+
html = f"""
|
| 72 |
+
<html>
|
| 73 |
+
<head>
|
| 74 |
+
<style>
|
| 75 |
+
body {{
|
| 76 |
+
font-family: Arial, sans-serif;
|
| 77 |
+
background: #fafafa;
|
| 78 |
+
margin: 0;
|
| 79 |
+
padding: 12px;
|
| 80 |
+
}}
|
| 81 |
+
h2 {{
|
| 82 |
+
color: #0366d6;
|
| 83 |
+
margin-bottom: 10px;
|
| 84 |
+
}}
|
| 85 |
+
.section {{
|
| 86 |
+
background: #fff;
|
| 87 |
+
border: 1px solid #ddd;
|
| 88 |
+
margin-bottom: 14px;
|
| 89 |
+
padding: 12px;
|
| 90 |
+
border-radius: 6px;
|
| 91 |
+
}}
|
| 92 |
+
.section-header {{
|
| 93 |
+
display: flex;
|
| 94 |
+
justify-content: space-between;
|
| 95 |
+
margin-bottom: 8px;
|
| 96 |
+
}}
|
| 97 |
+
.section-title {{
|
| 98 |
+
font-weight: bold;
|
| 99 |
+
color: #0b69a3;
|
| 100 |
+
font-size: 15px;
|
| 101 |
+
}}
|
| 102 |
+
.toggle-btn {{
|
| 103 |
+
background: #0b69a3;
|
| 104 |
+
color: #fff;
|
| 105 |
+
border: none;
|
| 106 |
+
padding: 6px 10px;
|
| 107 |
+
font-size: 12px;
|
| 108 |
+
border-radius: 5px;
|
| 109 |
+
cursor: pointer;
|
| 110 |
+
}}
|
| 111 |
+
.section-body {{
|
| 112 |
+
margin-top: 6px;
|
| 113 |
+
}}
|
| 114 |
+
.tbl {{
|
| 115 |
+
border-collapse: collapse;
|
| 116 |
+
width: 100%;
|
| 117 |
+
font-size: 13px;
|
| 118 |
+
}}
|
| 119 |
+
.tbl th {{
|
| 120 |
+
background: #0b69a3;
|
| 121 |
+
color: #fff;
|
| 122 |
+
padding: 6px;
|
| 123 |
+
border: 1px solid #ccc;
|
| 124 |
+
}}
|
| 125 |
+
.tbl td {{
|
| 126 |
+
padding: 6px;
|
| 127 |
+
border: 1px solid #ccc;
|
| 128 |
+
}}
|
| 129 |
+
.empty {{
|
| 130 |
+
padding: 10px;
|
| 131 |
+
color: #777;
|
| 132 |
+
}}
|
| 133 |
+
</style>
|
| 134 |
+
|
| 135 |
+
<script>
|
| 136 |
+
function toggleSection(id) {{
|
| 137 |
+
let e = document.getElementById(id);
|
| 138 |
+
if (e.style.display === "none") {{
|
| 139 |
+
e.style.display = "block";
|
| 140 |
+
}} else {{
|
| 141 |
+
e.style.display = "none";
|
| 142 |
+
}}
|
| 143 |
+
}}
|
| 144 |
+
</script>
|
| 145 |
+
</head>
|
| 146 |
+
|
| 147 |
+
<body>
|
| 148 |
+
<h2>Equity Report — {symbol}</h2>
|
| 149 |
+
|
| 150 |
+
{section_html}
|
| 151 |
+
|
| 152 |
+
</body>
|
| 153 |
+
</html>
|
| 154 |
+
"""
|
| 155 |
+
|
| 156 |
+
return html
|