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Upload streamlit_app.py
Browse files- src/streamlit_app.py +405 -40
src/streamlit_app.py
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import
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import
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import
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import streamlit as
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#
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| 1 |
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import streamlit as st
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import xml.etree.ElementTree as ET
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import networkx as nx
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import streamlit.components.v1 as components
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import json
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# Page config
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st.set_page_config(page_title="ISO 15288 Analyzer", layout="wide")
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+
st.title("ISO 15288: Architecture Analyzer")
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+
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+
def render_mermaid(mermaid_code, nodes_json):
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+
"""Рендерит Mermaid с поддержкой Зума, Экспорта в PNG и боковой панели"""
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+
safe_mermaid_code = mermaid_code.replace('`', '\\`').replace('$', '\\$')
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+
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html_code = f"""
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+
<!DOCTYPE html>
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<html>
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<head>
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+
<script src="https://cdn.jsdelivr.net/npm/svg-pan-zoom@3.6.1/dist/svg-pan-zoom.min.js"></script>
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+
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+
<style>
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+
body {{ margin: 0; padding: 0; font-family: sans-serif; background: #ffffff; overflow: hidden; }}
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| 23 |
+
#graphDiv {{ width: 100vw; height: 100vh; cursor: grab; }}
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+
#graphDiv:active {{ cursor: grabbing; }}
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+
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+
/* Стили кнопки экспорта */
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+
#toolbar {{
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position: absolute;
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bottom: 25px;
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+
right: 25px;
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| 31 |
+
z-index: 100;
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+
}}
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| 33 |
+
button.export-btn {{
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+
background: #ffffff; border: 1px solid #ccc; padding: 10px 18px;
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| 35 |
+
border-radius: 8px; cursor: pointer; font-size: 14px; font-weight: bold;
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| 36 |
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box-shadow: 0 4px 6px rgba(0,0,0,0.1); transition: all 0.2s;
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| 37 |
+
}}
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| 38 |
+
button.export-btn:hover {{
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background: #f0f0f0;
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| 40 |
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transform: translateY(-2px);
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| 41 |
+
box-shadow: 0 6px 12px rgba(0,0,0,0.15);
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}}
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| 43 |
+
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| 44 |
+
/* Стили всплывающей боковой панели */
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| 45 |
+
#infoPanel {{
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| 46 |
+
display: none;
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| 47 |
+
position: absolute;
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| 48 |
+
top: 20px;
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| 49 |
+
right: 20px;
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| 50 |
+
width: 350px;
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| 51 |
+
max-height: 80vh;
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+
background: #ffffff;
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+
border: 1px solid #e0e0e0;
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| 54 |
+
border-radius: 8px;
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| 55 |
+
box-shadow: 0 10px 25px rgba(0,0,0,0.2);
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| 56 |
+
padding: 20px;
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| 57 |
+
overflow-y: auto;
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| 58 |
+
z-index: 1000;
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| 59 |
+
flex-direction: column;
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| 60 |
+
}}
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| 61 |
+
#infoPanel h3 {{ margin: 0 0 15px 0; font-size: 18px; color: #333; }}
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| 62 |
+
#infoPanel p {{ margin: 0; font-size: 14px; color: #555; line-height: 1.6; }}
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| 63 |
+
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| 64 |
+
#closeBtn {{
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+
position: absolute;
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| 66 |
+
top: 15px;
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+
right: 15px;
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+
cursor: pointer;
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+
font-size: 24px;
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+
color: #aaa;
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+
background: none;
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border: none;
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padding: 0;
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+
line-height: 1;
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}}
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| 76 |
+
#closeBtn:hover {{ color: #333; }}
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+
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+
/* Указатель для кликабельных узлов */
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| 79 |
+
.node {{ cursor: pointer !important; }}
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| 80 |
+
</style>
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+
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| 82 |
+
<script type="module">
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| 83 |
+
import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs';
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| 84 |
+
mermaid.initialize({{ startOnLoad: false, theme: 'default', securityLevel: 'loose' }});
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| 85 |
+
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+
// 1. Рендеринг и подключение Зума
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+
window.renderDiagram = async function() {{
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| 88 |
+
const container = document.getElementById('graphDiv');
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+
const {{ svg }} = await mermaid.render('mermaidSvg', `{safe_mermaid_code}`);
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+
container.innerHTML = svg;
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+
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const svgElement = container.querySelector('svg');
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+
svgElement.style.width = "100%";
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svgElement.style.height = "100%";
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+
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+
window.panZoomSetup = svgPanZoom(svgElement, {{
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+
zoomEnabled: true,
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+
controlIconsEnabled: true,
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+
fit: true,
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center: true,
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+
minZoom: 0.1,
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maxZoom: 10
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}});
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}};
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window.addEventListener('load', window.renderDiagram);
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</script>
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<script>
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// 2. Логика Информационной Панели
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const nodeData = {nodes_json};
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+
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window.handleNodeClick = function(nodeId) {{
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const data = nodeData[nodeId];
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| 115 |
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if (data) {{
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+
document.getElementById('panelTitle').innerText = data.name;
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document.getElementById('panelDoc').innerText = data.doc ? data.doc : "Description is missing in the model.";
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| 118 |
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document.getElementById('infoPanel').style.display = 'flex';
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| 119 |
+
}}
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}};
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+
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window.closePanel = function() {{
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document.getElementById('infoPanel').style.display = 'none';
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| 124 |
+
}};
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| 125 |
+
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| 126 |
+
// 3. Экспорт в PNG
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| 127 |
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window.downloadPng = function() {{
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| 128 |
+
const svg = document.querySelector('#graphDiv svg');
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| 129 |
+
if (!svg) return;
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| 130 |
+
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| 131 |
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const oldZoom = window.panZoomSetup.getZoom();
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| 132 |
+
const oldPan = window.panZoomSetup.getPan();
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| 133 |
+
window.panZoomSetup.resetZoom();
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| 134 |
+
window.panZoomSetup.resetPan();
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| 135 |
+
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| 136 |
+
setTimeout(() => {{
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| 137 |
+
const svgData = new XMLSerializer().serializeToString(svg);
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| 138 |
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const canvas = document.createElement("canvas");
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| 139 |
+
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| 140 |
+
const bbox = svg.getBoundingClientRect();
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| 141 |
+
canvas.width = bbox.width * 2;
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| 142 |
+
canvas.height = bbox.height * 2;
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| 143 |
+
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| 144 |
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const ctx = canvas.getContext("2d");
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| 145 |
+
ctx.scale(2, 2);
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| 146 |
+
ctx.fillStyle = "white";
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| 147 |
+
ctx.fillRect(0, 0, canvas.width, canvas.height);
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| 148 |
+
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| 149 |
+
const img = new Image();
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| 150 |
+
img.src = 'data:image/svg+xml;base64,' + btoa(unescape(encodeURIComponent(svgData)));
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| 151 |
+
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| 152 |
+
img.onload = function() {{
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| 153 |
+
ctx.drawImage(img, 0, 0);
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| 154 |
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const a = document.createElement("a");
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| 155 |
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a.download = "Architecture_Diagram.png";
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| 156 |
+
a.href = canvas.toDataURL("image/png");
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| 157 |
+
a.click();
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| 158 |
+
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| 159 |
+
window.panZoomSetup.zoom(oldZoom);
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| 160 |
+
window.panZoomSetup.pan(oldPan);
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| 161 |
+
}};
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| 162 |
+
}}, 100);
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| 163 |
+
}};
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| 164 |
+
</script>
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| 165 |
+
</head>
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| 166 |
+
<body>
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| 167 |
+
<div id="toolbar">
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| 168 |
+
<button class="export-btn" onclick="downloadPng()">📸 Export as PNG</button>
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| 169 |
+
</div>
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| 170 |
+
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| 171 |
+
<div id="infoPanel">
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| 172 |
+
<button id="closeBtn" onclick="closePanel()">×</button>
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| 173 |
+
<h3 id="panelTitle">Process Name</h3>
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| 174 |
+
<p id="panelDoc">Documentation...</p>
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| 175 |
+
</div>
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| 176 |
+
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| 177 |
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<div id="graphDiv"></div>
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| 178 |
+
</body>
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| 179 |
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</html>
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| 180 |
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"""
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| 181 |
+
components.html(html_code, height=800, scrolling=False)
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| 182 |
+
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| 183 |
+
@st.cache_data
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| 184 |
+
def load_and_parse_xml(file_path):
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| 185 |
+
tree = ET.parse(file_path)
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| 186 |
+
root = tree.getroot()
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| 187 |
+
|
| 188 |
+
G = nx.DiGraph()
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| 189 |
+
processes = {}
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| 190 |
+
|
| 191 |
+
for elem in root.findall('.//*'):
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| 192 |
+
if elem.tag.endswith('element'):
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| 193 |
+
n_id = elem.get('identifier')
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| 194 |
+
n_type = next((v for k, v in elem.attrib.items() if k.endswith('type')), 'Unknown')
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| 195 |
+
|
| 196 |
+
name = "Unnamed"
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| 197 |
+
doc = ""
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| 198 |
+
for child in elem:
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| 199 |
+
if child.tag.endswith('name') and child.text:
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| 200 |
+
name = child.text
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| 201 |
+
elif child.tag.endswith('documentation') and child.text:
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| 202 |
+
doc = child.text
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| 203 |
+
|
| 204 |
+
G.add_node(n_id, name=name, type=n_type, doc=doc)
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| 205 |
+
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| 206 |
+
if 'BusinessFunction' in n_type:
|
| 207 |
+
processes[n_id] = name
|
| 208 |
+
|
| 209 |
+
for rel in root.findall('.//*'):
|
| 210 |
+
if rel.tag.endswith('relationship'):
|
| 211 |
+
src = rel.get('source')
|
| 212 |
+
tgt = rel.get('target')
|
| 213 |
+
r_type = next((v for k, v in rel.attrib.items() if k.endswith('type')), 'Association')
|
| 214 |
+
access = rel.get('accessType', '')
|
| 215 |
+
|
| 216 |
+
if 'Access' in r_type and access.lower() == 'read':
|
| 217 |
+
G.add_edge(tgt, src, type=r_type, access=access)
|
| 218 |
+
else:
|
| 219 |
+
G.add_edge(src, tgt, type=r_type, access=access)
|
| 220 |
+
|
| 221 |
+
return G, processes
|
| 222 |
+
|
| 223 |
+
def graph_to_mermaid_and_data(G, nodes_to_include, edges_to_include):
|
| 224 |
+
if not nodes_to_include:
|
| 225 |
+
return "", "{}"
|
| 226 |
+
|
| 227 |
+
lines = [
|
| 228 |
+
"flowchart LR",
|
| 229 |
+
"classDef process fill:#FFF2CC,stroke:#D6B656,stroke-width:2px,color:#000;",
|
| 230 |
+
"classDef object fill:#D5E8D4,stroke:#82B366,stroke-width:2px,color:#000;"
|
| 231 |
+
]
|
| 232 |
+
|
| 233 |
+
nodes_data = {}
|
| 234 |
+
|
| 235 |
+
for n_id in set(nodes_to_include):
|
| 236 |
+
data = G.nodes.get(n_id, {})
|
| 237 |
+
m_id = n_id.replace("-", "_")
|
| 238 |
+
name = data.get("name", "Unknown").replace('"', "'")
|
| 239 |
+
n_type = data.get("type", "")
|
| 240 |
+
doc = data.get("doc", "").replace('"', "'").replace("\n", " ")
|
| 241 |
+
|
| 242 |
+
if 'BusinessProcess' in n_type or 'BusinessFunction' in n_type:
|
| 243 |
+
lines.append(f' {m_id}("{name}"):::process')
|
| 244 |
+
else:
|
| 245 |
+
lines.append(f' {m_id}["{name}"]:::object')
|
| 246 |
+
|
| 247 |
+
lines.append(f' click {m_id} call handleNodeClick()')
|
| 248 |
+
|
| 249 |
+
nodes_data[m_id] = {"name": name, "doc": doc}
|
| 250 |
+
|
| 251 |
+
added_edges = set()
|
| 252 |
+
for u, v, data in edges_to_include:
|
| 253 |
+
edge_key = (u, v)
|
| 254 |
+
if edge_key not in added_edges:
|
| 255 |
+
u_id = u.replace("-", "_")
|
| 256 |
+
v_id = v.replace("-", "_")
|
| 257 |
+
e_type = data.get("type", "")
|
| 258 |
+
access = data.get("access", "")
|
| 259 |
+
|
| 260 |
+
label = access if access else e_type.replace("Relationship", "").replace("archimate:", "")
|
| 261 |
+
lines.append(f' {u_id} -->|{label}| {v_id}')
|
| 262 |
+
added_edges.add(edge_key)
|
| 263 |
+
|
| 264 |
+
return "\n".join(lines), json.dumps(nodes_data)
|
| 265 |
+
|
| 266 |
+
# Загрузка графов
|
| 267 |
+
try:
|
| 268 |
+
G, processes = load_and_parse_xml("ISO15288_Archi_Import.xml")
|
| 269 |
+
U = G.to_undirected()
|
| 270 |
+
sorted_process_names = sorted(list(processes.values()))
|
| 271 |
+
except FileNotFoundError:
|
| 272 |
+
st.error("File 'ISO15288_Archi_Import.xml' not found.")
|
| 273 |
+
st.stop()
|
| 274 |
+
|
| 275 |
+
# Интерфейс
|
| 276 |
+
mode = st.radio(
|
| 277 |
+
"Select analysis scenario:",
|
| 278 |
+
(
|
| 279 |
+
"Case 1: Interface exchange between selected processes",
|
| 280 |
+
"Case 2: Shortest DATA FLOW path (Directed)",
|
| 281 |
+
"Case 3: Closest STRUCTURAL connection (Undirected)",
|
| 282 |
+
"Case 4: All possible DATA FLOW paths (Directed)"
|
| 283 |
+
)
|
| 284 |
+
)
|
| 285 |
+
|
| 286 |
+
st.markdown("---")
|
| 287 |
+
|
| 288 |
+
if mode == "Case 1: Interface exchange between selected processes":
|
| 289 |
+
st.write("Select 2 to 5 processes. The script will find objects they exchange data through.")
|
| 290 |
+
selected_names = st.multiselect("Select processes:", sorted_process_names, max_selections=5)
|
| 291 |
+
|
| 292 |
+
if st.button("Generate Interface Diagram") and len(selected_names) >= 2:
|
| 293 |
+
selected_ids = [k for k, v in processes.items() if v in selected_names]
|
| 294 |
+
nodes_to_draw = set(selected_ids)
|
| 295 |
+
edges_to_draw = []
|
| 296 |
+
|
| 297 |
+
def safe_add_edge(u, v):
|
| 298 |
+
if G.has_edge(u, v): edges_to_draw.append((u, v, G[u][v]))
|
| 299 |
+
|
| 300 |
+
for i in range(len(selected_ids)):
|
| 301 |
+
for j in range(i + 1, len(selected_ids)):
|
| 302 |
+
p1, p2 = selected_ids[i], selected_ids[j]
|
| 303 |
+
|
| 304 |
+
safe_add_edge(p1, p2)
|
| 305 |
+
safe_add_edge(p2, p1)
|
| 306 |
+
|
| 307 |
+
common_neighbors = set(U.neighbors(p1)).intersection(set(U.neighbors(p2)))
|
| 308 |
+
for neighbor in common_neighbors:
|
| 309 |
+
nodes_to_draw.add(neighbor)
|
| 310 |
+
safe_add_edge(p1, neighbor)
|
| 311 |
+
safe_add_edge(neighbor, p1)
|
| 312 |
+
safe_add_edge(p2, neighbor)
|
| 313 |
+
safe_add_edge(neighbor, p2)
|
| 314 |
+
|
| 315 |
+
if len(nodes_to_draw) == len(selected_ids) and not edges_to_draw:
|
| 316 |
+
st.warning("No direct links or shared exchange objects found between these processes.")
|
| 317 |
+
else:
|
| 318 |
+
st.success("Exchange interfaces found!")
|
| 319 |
+
mermaid_code, json_data = graph_to_mermaid_and_data(G, nodes_to_draw, edges_to_draw)
|
| 320 |
+
render_mermaid(mermaid_code, json_data)
|
| 321 |
+
|
| 322 |
+
elif mode == "Case 2: Shortest DATA FLOW path (Directed)":
|
| 323 |
+
st.write("Finds the shortest valid data sequence (respecting Write -> Read directions).")
|
| 324 |
+
col1, col2 = st.columns(2)
|
| 325 |
+
with col1:
|
| 326 |
+
p1_name = st.selectbox("Process A (From):", sorted_process_names, key="c2_p1")
|
| 327 |
+
with col2:
|
| 328 |
+
p2_name = st.selectbox("Process B (To):", sorted_process_names, key="c2_p2")
|
| 329 |
+
|
| 330 |
+
if st.button("Find Directed Path") and p1_name != p2_name:
|
| 331 |
+
p1_id = [k for k, v in processes.items() if v == p1_name][0]
|
| 332 |
+
p2_id = [k for k, v in processes.items() if v == p2_name][0]
|
| 333 |
+
|
| 334 |
+
try:
|
| 335 |
+
path = nx.shortest_path(G, source=p1_id, target=p2_id)
|
| 336 |
+
edges_in_path = [(path[i], path[i+1], G[path[i]][path[i+1]]) for i in range(len(path)-1)]
|
| 337 |
+
|
| 338 |
+
st.success(f"Data flow path found! Length: {len(path)-1} step(s).")
|
| 339 |
+
mermaid_code, json_data = graph_to_mermaid_and_data(G, path, edges_in_path)
|
| 340 |
+
render_mermaid(mermaid_code, json_data)
|
| 341 |
+
|
| 342 |
+
except nx.NetworkXNoPath:
|
| 343 |
+
st.error("No valid DATA FLOW exists between these processes (direction matters).")
|
| 344 |
+
|
| 345 |
+
elif mode == "Case 3: Closest STRUCTURAL connection (Undirected)":
|
| 346 |
+
st.write("Finds any connection (e.g., sharing the same input document), ignoring direction.")
|
| 347 |
+
col1, col2 = st.columns(2)
|
| 348 |
+
with col1:
|
| 349 |
+
p1_name = st.selectbox("Process A:", sorted_process_names, key="c3_p1")
|
| 350 |
+
with col2:
|
| 351 |
+
p2_name = st.selectbox("Process B:", sorted_process_names, key="c3_p2")
|
| 352 |
+
|
| 353 |
+
if st.button("Find Closest Connection") and p1_name != p2_name:
|
| 354 |
+
p1_id = [k for k, v in processes.items() if v == p1_name][0]
|
| 355 |
+
p2_id = [k for k, v in processes.items() if v == p2_name][0]
|
| 356 |
+
|
| 357 |
+
try:
|
| 358 |
+
path = nx.shortest_path(U, source=p1_id, target=p2_id)
|
| 359 |
+
edges_in_path = []
|
| 360 |
+
for i in range(len(path)-1):
|
| 361 |
+
u, v = path[i], path[i+1]
|
| 362 |
+
if G.has_edge(u, v): edges_in_path.append((u, v, G[u][v]))
|
| 363 |
+
elif G.has_edge(v, u): edges_in_path.append((v, u, G[v][u]))
|
| 364 |
+
|
| 365 |
+
st.success(f"Structural connection found! Length: {len(path)-1} step(s).")
|
| 366 |
+
mermaid_code, json_data = graph_to_mermaid_and_data(G, path, edges_in_path)
|
| 367 |
+
render_mermaid(mermaid_code, json_data)
|
| 368 |
+
|
| 369 |
+
except nx.NetworkXNoPath:
|
| 370 |
+
st.error("These processes are completely disconnected in the model.")
|
| 371 |
+
|
| 372 |
+
elif mode == "Case 4: All possible DATA FLOW paths (Directed)":
|
| 373 |
+
st.write("Finds all valid data flow sequences (respecting directions).")
|
| 374 |
+
col1, col2 = st.columns(2)
|
| 375 |
+
with col1:
|
| 376 |
+
p1_name = st.selectbox("Process A (From):", sorted_process_names, key="c4_p1")
|
| 377 |
+
with col2:
|
| 378 |
+
p2_name = st.selectbox("Process B (To):", sorted_process_names, key="c4_p2")
|
| 379 |
+
|
| 380 |
+
if st.button("Find All Directed Paths") and p1_name != p2_name:
|
| 381 |
+
p1_id = [k for k, v in processes.items() if v == p1_name][0]
|
| 382 |
+
p2_id = [k for k, v in processes.items() if v == p2_name][0]
|
| 383 |
+
|
| 384 |
+
try:
|
| 385 |
+
paths = list(nx.all_simple_paths(G, source=p1_id, target=p2_id, cutoff=6))
|
| 386 |
+
|
| 387 |
+
if not paths:
|
| 388 |
+
st.error("No valid data flow paths found within 6 steps.")
|
| 389 |
+
else:
|
| 390 |
+
st.success(f"Found {len(paths)} unique data flow path(s).")
|
| 391 |
+
|
| 392 |
+
nodes_in_paths = set()
|
| 393 |
+
edges_in_paths = []
|
| 394 |
+
|
| 395 |
+
for path in paths:
|
| 396 |
+
nodes_in_paths.update(path)
|
| 397 |
+
for i in range(len(path)-1):
|
| 398 |
+
u, v = path[i], path[i+1]
|
| 399 |
+
edges_in_paths.append((u, v, G[u][v]))
|
| 400 |
+
|
| 401 |
+
mermaid_code, json_data = graph_to_mermaid_and_data(G, nodes_in_paths, edges_in_paths)
|
| 402 |
+
render_mermaid(mermaid_code, json_data)
|
| 403 |
+
|
| 404 |
+
except nx.NetworkXNoPath:
|
| 405 |
+
st.error("No valid DATA FLOW exists between these processes.")
|