cognee/cognee/modules/visualization/cognee_network_visualization.py
2025-10-29 10:28:10 +01:00

701 lines
36 KiB
Python

import os
import json
from cognee.shared.logging_utils import get_logger
from cognee.infrastructure.files.storage.LocalFileStorage import LocalFileStorage
logger = get_logger()
async def cognee_network_visualization(graph_data, destination_file_path: str = None):
import networkx
nodes_data, edges_data = graph_data
G = networkx.DiGraph()
nodes_list = []
color_map = {
"Entity": "#5C10F4",
"EntityType": "#A550FF",
"DocumentChunk": "#0DFF00",
"TextSummary": "#5C10F4",
"TableRow": "#A550FF",
"TableType": "#5C10F4",
"ColumnValue": "#757470",
"SchemaTable": "#A550FF",
"DatabaseSchema": "#5C10F4",
"SchemaRelationship": "#323332",
"default": "#D8D8D8",
}
for node_id, node_info in nodes_data:
node_info = node_info.copy()
node_info["id"] = str(node_id)
node_info["color"] = color_map.get(node_info.get("type", "default"), "#D3D3D3")
node_info["name"] = node_info.get("name", str(node_id))
try:
del node_info[
"updated_at"
] #:TODO: We should decide what properties to show on the nodes and edges, we dont necessarily need all.
except KeyError:
pass
try:
del node_info["created_at"]
except KeyError:
pass
nodes_list.append(node_info)
G.add_node(node_id, **node_info)
edge_labels = {}
links_list = []
for source, target, relation, edge_info in edges_data:
source = str(source)
target = str(target)
G.add_edge(source, target)
edge_labels[(source, target)] = relation
# Extract edge metadata including all weights
all_weights = {}
primary_weight = None
if edge_info:
# Single weight (backward compatibility)
if "weight" in edge_info:
all_weights["default"] = edge_info["weight"]
primary_weight = edge_info["weight"]
# Multiple weights
if "weights" in edge_info and isinstance(edge_info["weights"], dict):
all_weights.update(edge_info["weights"])
# Use the first weight as primary for visual thickness if no default weight
if primary_weight is None and edge_info["weights"]:
primary_weight = next(iter(edge_info["weights"].values()))
# Individual weight fields (weight_strength, weight_confidence, etc.)
for key, value in edge_info.items():
if key.startswith("weight_") and isinstance(value, (int, float)):
weight_name = key[7:] # Remove "weight_" prefix
all_weights[weight_name] = value
link_data = {
"source": source,
"target": target,
"relation": relation,
"weight": primary_weight, # Primary weight for backward compatibility
"all_weights": all_weights, # All weights for display
"relationship_type": edge_info.get("relationship_type") if edge_info else None,
"edge_info": edge_info if edge_info else {},
}
links_list.append(link_data)
html_template = """
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<script src="https://d3js.org/d3.v5.min.js"></script>
<script src="https://d3js.org/d3-contour.v1.min.js"></script>
<style>
body, html { margin: 0; padding: 0; width: 100%; height: 100%; overflow: hidden; background: linear-gradient(90deg, #101010, #1a1a2e); color: white; font-family: 'Inter', sans-serif; }
svg { width: 100vw; height: 100vh; display: block; }
.links line { stroke: rgba(160, 160, 160, 0.25); stroke-width: 1.5px; stroke-linecap: round; }
.links line.weighted { stroke: rgba(255, 215, 0, 0.4); }
.links line.multi-weighted { stroke: rgba(0, 255, 127, 0.45); }
.nodes circle { stroke: white; stroke-width: 0.5px; }
.node-label { font-size: 5px; font-weight: bold; fill: #F4F4F4; text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; }
.edge-label { font-size: 3px; fill: #F4F4F4; text-anchor: middle; dominant-baseline: middle; font-family: 'Inter', sans-serif; pointer-events: none; paint-order: stroke; stroke: rgba(50,51,50,0.75); stroke-width: 1px; }
.density path { mix-blend-mode: screen; }
.tooltip {
position: absolute;
text-align: left;
padding: 8px;
font-size: 12px;
background: rgba(0, 0, 0, 0.9);
color: white;
border: 1px solid rgba(255, 255, 255, 0.3);
border-radius: 4px;
pointer-events: none;
opacity: 0;
transition: opacity 0.2s;
z-index: 1000;
max-width: 300px;
word-wrap: break-word;
}
#info-panel {
position: fixed;
left: 12px;
top: 12px;
width: 340px;
max-height: calc(100vh - 24px);
overflow: auto;
background: rgba(50, 51, 50, 0.7);
backdrop-filter: blur(6px);
border: 1px solid rgba(216, 216, 216, 0.35);
border-radius: 8px;
color: #F4F4F4;
padding: 12px 14px;
z-index: 1100;
}
#info-panel h3 { margin: 0 0 8px 0; font-size: 14px; color: #F4F4F4; }
#info-panel .kv { font-size: 12px; line-height: 1.4; }
#info-panel .kv .k { color: #D8D8D8; }
#info-panel .kv .v { color: #F4F4F4; }
#info-panel .placeholder { opacity: 0.7; font-size: 12px; }
</style>
</head>
<body>
<svg></svg>
<div class="tooltip" id="tooltip"></div>
<div id="info-panel"><div class="placeholder">Hover a node or edge to inspect details</div></div>
<script>
var nodes = {nodes};
var links = {links};
var svg = d3.select("svg"),
width = window.innerWidth,
height = window.innerHeight;
var container = svg.append("g");
var tooltip = d3.select("#tooltip");
var infoPanel = d3.select('#info-panel');
function renderInfo(title, entries){
function esc(s){ return String(s).replace(/&/g,'&amp;').replace(/</g,'&lt;').replace(/>/g,'&gt;'); }
var html = '<h3>' + esc(title) + '</h3>';
html += '<div class="kv">';
entries.forEach(function(e){
html += '<div><span class="k">' + esc(e.k) + ':</span> <span class="v">' + esc(e.v) + '</span></div>';
});
html += '</div>';
infoPanel.html(html);
}
function pickDescription(obj){
if (!obj) return null;
var keys = ['description','summary','text','content'];
for (var i=0; i<keys.length; i++){
var v = obj[keys[i]];
if (typeof v === 'string' && v.trim()) return v.trim();
}
return null;
}
function truncate(s, n){ if (!s) return s; return s.length > n ? (s.slice(0, n) + '') : s; }
function renderNodeInfo(n){
var entries = [];
if (n.name) entries.push({k:'Name', v: n.name});
if (n.type) entries.push({k:'Type', v: n.type});
if (n.id) entries.push({k:'ID', v: n.id});
var desc = pickDescription(n) || pickDescription(n.properties);
if (desc) entries.push({k:'Description', v: truncate(desc.replace(/\s+/g,' ').trim(), 280)});
if (n.properties) {
Object.keys(n.properties).slice(0, 12).forEach(function(key){
var v = n.properties[key];
if (v !== undefined && v !== null && typeof v !== 'object') entries.push({k: key, v: String(v)});
});
}
renderInfo(n.name || 'Node', entries);
}
function renderEdgeInfo(e){
var entries = [];
if (e.relation) entries.push({k:'Relation', v: e.relation});
if (e.weight !== undefined && e.weight !== null) entries.push({k:'Weight', v: e.weight});
if (e.all_weights && Object.keys(e.all_weights).length){
Object.keys(e.all_weights).slice(0, 8).forEach(function(k){ entries.push({k: 'w.'+k, v: e.all_weights[k]}); });
}
if (e.relationship_type) entries.push({k:'Type', v: e.relationship_type});
var edesc = pickDescription(e.edge_info);
if (edesc) entries.push({k:'Description', v: truncate(edesc.replace(/\s+/g,' ').trim(), 280)});
renderInfo('Edge', entries);
}
// Basic runtime diagnostics
console.log('[Cognee Visualization] nodes:', nodes ? nodes.length : 0, 'links:', links ? links.length : 0);
window.addEventListener('error', function(e){
try {
tooltip.html('<strong>Error:</strong> ' + e.message)
.style('left', '12px')
.style('top', '12px')
.style('opacity', 1);
} catch(_) {}
});
// Normalize node IDs and link endpoints for robustness
function resolveId(d){ return (d && (d.id || d.node_id || d.uuid || d.external_id || d.name)) || undefined; }
if (Array.isArray(nodes)) {
nodes.forEach(function(n){ var id = resolveId(n); if (id !== undefined) n.id = id; });
}
if (Array.isArray(links)) {
links.forEach(function(l){
if (typeof l.source === 'object') l.source = resolveId(l.source);
if (typeof l.target === 'object') l.target = resolveId(l.target);
});
}
if (!nodes || nodes.length === 0) {
container.append('text')
.attr('x', width / 2)
.attr('y', height / 2)
.attr('fill', '#fff')
.attr('font-size', 14)
.attr('text-anchor', 'middle')
.text('No graph data available');
}
// Visual defs - reusable glow
var defs = svg.append("defs");
var glow = defs.append("filter").attr("id", "glow")
.attr("x", "-30%")
.attr("y", "-30%")
.attr("width", "160%")
.attr("height", "160%");
glow.append("feGaussianBlur").attr("stdDeviation", 8).attr("result", "coloredBlur");
var feMerge = glow.append("feMerge");
feMerge.append("feMergeNode").attr("in", "coloredBlur");
feMerge.append("feMergeNode").attr("in", "SourceGraphic");
// Stronger glow for hovered adjacency
var glowStrong = defs.append("filter").attr("id", "glow-strong")
.attr("x", "-40%")
.attr("y", "-40%")
.attr("width", "180%")
.attr("height", "180%");
glowStrong.append("feGaussianBlur").attr("stdDeviation", 14).attr("result", "coloredBlur");
var feMerge2 = glowStrong.append("feMerge");
feMerge2.append("feMergeNode").attr("in", "coloredBlur");
feMerge2.append("feMergeNode").attr("in", "SourceGraphic");
var currentTransform = d3.zoomIdentity;
var densityZoomTimer = null;
var isInteracting = false;
var labelBaseSize = 10;
function getGroupKey(d){ return d && (d.type || d.category || d.group || d.color) || 'default'; }
var simulation = d3.forceSimulation(nodes)
.force("link", d3.forceLink(links).id(function(d){ return d.id; }).distance(100).strength(0.2))
.force("charge", d3.forceManyBody().strength(-180))
.force("collide", d3.forceCollide().radius(16).iterations(2))
.force("center", d3.forceCenter(width / 2, height / 2))
.force("x", d3.forceX().strength(0.06).x(width / 2))
.force("y", d3.forceY().strength(0.06).y(height / 2))
.alphaDecay(0.06)
.velocityDecay(0.6);
// Density layer (sibling of container to avoid double transforms)
var densityLayer = svg.append("g")
.attr("class", "density")
.style("pointer-events", "none");
if (densityLayer.lower) densityLayer.lower();
var link = container.append("g")
.attr("class", "links")
.selectAll("line")
.data(links)
.enter().append("line")
.style("opacity", 0)
.style("pointer-events", "none")
.attr("stroke-width", d => {
if (d.weight) return Math.max(2, d.weight * 5);
if (d.all_weights && Object.keys(d.all_weights).length > 0) {
var avgWeight = Object.values(d.all_weights).reduce((a, b) => a + b, 0) / Object.values(d.all_weights).length;
return Math.max(2, avgWeight * 5);
}
return 2;
})
.attr("class", d => {
if (d.all_weights && Object.keys(d.all_weights).length > 1) return "multi-weighted";
if (d.weight || (d.all_weights && Object.keys(d.all_weights).length > 0)) return "weighted";
return "";
})
.on("mouseover", function(d) {
// Create tooltip content for edge
renderEdgeInfo(d);
var content = "<strong>Edge Information</strong><br/>";
content += "Relationship: " + d.relation + "<br/>";
// Show all weights
if (d.all_weights && Object.keys(d.all_weights).length > 0) {
content += "<strong>Weights:</strong><br/>";
Object.keys(d.all_weights).forEach(function(weightName) {
content += "&nbsp;&nbsp;" + weightName + ": " + d.all_weights[weightName] + "<br/>";
});
} else if (d.weight !== null && d.weight !== undefined) {
content += "Weight: " + d.weight + "<br/>";
}
if (d.relationship_type) {
content += "Type: " + d.relationship_type + "<br/>";
}
// Add other edge properties
if (d.edge_info) {
Object.keys(d.edge_info).forEach(function(key) {
if (key !== 'weight' && key !== 'weights' && key !== 'relationship_type' &&
key !== 'source_node_id' && key !== 'target_node_id' &&
key !== 'relationship_name' && key !== 'updated_at' &&
!key.startsWith('weight_')) {
content += key + ": " + d.edge_info[key] + "<br/>";
}
});
}
tooltip.html(content)
.style("left", (d3.event.pageX + 10) + "px")
.style("top", (d3.event.pageY - 10) + "px")
.style("opacity", 1);
})
.on("mouseout", function(d) {
tooltip.style("opacity", 0);
});
var edgeLabels = container.append("g")
.attr("class", "edge-labels")
.selectAll("text")
.data(links)
.enter().append("text")
.attr("class", "edge-label")
.style("opacity", 0)
.text(d => {
var label = d.relation;
if (d.all_weights && Object.keys(d.all_weights).length > 1) {
// Show count of weights for multiple weights
label += " (" + Object.keys(d.all_weights).length + " weights)";
} else if (d.weight) {
label += " (" + d.weight + ")";
} else if (d.all_weights && Object.keys(d.all_weights).length === 1) {
var singleWeight = Object.values(d.all_weights)[0];
label += " (" + singleWeight + ")";
}
return label;
});
var nodeGroup = container.append("g")
.attr("class", "nodes")
.selectAll("g")
.data(nodes)
.enter().append("g");
// Color fallback by type when d.color is missing
var colorByType = {
"Entity": "#5C10F4",
"EntityType": "#A550FF",
"DocumentChunk": "#0DFF00",
"TextSummary": "#5C10F4",
"TableRow": "#A550FF",
"TableType": "#5C10F4",
"ColumnValue": "#757470",
"SchemaTable": "#A550FF",
"DatabaseSchema": "#5C10F4",
"SchemaRelationship": "#323332"
};
var node = nodeGroup.append("circle")
.attr("r", 13)
.attr("fill", function(d){ return d.color || colorByType[d.type] || "#D3D3D3"; })
.style("filter", "url(#glow)")
.attr("shape-rendering", "geometricPrecision")
.call(d3.drag()
.on("start", dragstarted)
.on("drag", function(d){ dragged(d); updateDensity(); showAdjacency(d); })
.on("end", dragended));
// Show links only for hovered node adjacency
function isAdjacent(linkDatum, nodeId) {
var sid = linkDatum && linkDatum.source && (linkDatum.source.id || linkDatum.source);
var tid = linkDatum && linkDatum.target && (linkDatum.target.id || linkDatum.target);
return sid === nodeId || tid === nodeId;
}
function showAdjacency(d) {
var nodeId = d && (d.id || d.node_id || d.uuid || d.external_id || d.name);
if (!nodeId) return;
// Build neighbor set
var neighborIds = {};
neighborIds[nodeId] = true;
for (var i = 0; i < links.length; i++) {
var l = links[i];
var sid = l && l.source && (l.source.id || l.source);
var tid = l && l.target && (l.target.id || l.target);
if (sid === nodeId) neighborIds[tid] = true;
if (tid === nodeId) neighborIds[sid] = true;
}
link
.style("opacity", function(l){ return isAdjacent(l, nodeId) ? 0.95 : 0; })
.style("stroke", function(l){ return isAdjacent(l, nodeId) ? "rgba(255,255,255,0.95)" : null; })
.style("stroke-width", function(l){ return isAdjacent(l, nodeId) ? 2.5 : 1.5; });
edgeLabels.style("opacity", function(l){ return isAdjacent(l, nodeId) ? 1 : 0; });
densityLayer.style("opacity", 0.35);
// Highlight neighbor nodes and dim others
node
.style("opacity", function(n){ return neighborIds[n.id] ? 1 : 0.25; })
.style("filter", function(n){ return neighborIds[n.id] ? "url(#glow-strong)" : "url(#glow)"; })
.attr("r", function(n){ return neighborIds[n.id] ? 15 : 13; });
// Raise highlighted nodes
node.filter(function(n){ return neighborIds[n.id]; }).raise();
// Neighbor labels brighter
nodeGroup.select("text")
.style("opacity", function(n){ return neighborIds[n.id] ? 1 : 0.2; })
.style("font-size", function(n){
var size = neighborIds[n.id] ? Math.min(22, labelBaseSize * 1.25) : labelBaseSize;
return size + "px";
});
}
function clearAdjacency() {
link.style("opacity", 0)
.style("stroke", null)
.style("stroke-width", 1.5);
edgeLabels.style("opacity", 0);
densityLayer.style("opacity", 1);
node
.style("opacity", 1)
.style("filter", "url(#glow)")
.attr("r", 13);
nodeGroup.select("text")
.style("opacity", 1)
.style("font-size", labelBaseSize + "px");
}
node.on("mouseover", function(d){ showAdjacency(d); })
.on("mouseout", function(){ clearAdjacency(); });
node.on("mouseover", function(d){ renderNodeInfo(d); tooltip.style('opacity', 0); });
// Also bind on the group so labels trigger adjacency too
nodeGroup.on("mouseover", function(d){ showAdjacency(d); })
.on("mouseout", function(){ clearAdjacency(); });
// Density always on; no hover gating
// Add labels sparsely to reduce clutter (every ~50th node), and truncate long text
nodeGroup
.filter(function(d, i){ return i % 14 === 0; })
.append("text")
.attr("class", "node-label")
.attr("dy", 4)
.attr("text-anchor", "middle")
.text(function(d){
var s = d && d.name ? String(d.name) : '';
return s.length > 40 ? (s.slice(0, 40) + "") : s;
})
.style("font-size", labelBaseSize + "px");
function applyLabelSize() {
var k = (currentTransform && currentTransform.k) || 1;
// Keep labels readable across zoom levels and hide when too small
labelBaseSize = Math.max(7, Math.min(18, 10 / Math.sqrt(k)));
nodeGroup.select("text")
.style("font-size", labelBaseSize + "px")
.style("display", (k < 0.35 ? "none" : null));
}
// Density cloud computation (throttled)
var densityTick = 0;
var geoPath = d3.geoPath().projection(null);
var MAX_POINTS_PER_GROUP = 400;
function updateDensity() {
try {
if (isInteracting) return; // skip during interaction for smoother UX
if (typeof d3 === 'undefined' || typeof d3.contourDensity !== 'function') {
return; // d3-contour not available; skip gracefully
}
if (!nodes || nodes.length === 0) return;
var usable = nodes.filter(function(d){ return d && typeof d.x === 'number' && isFinite(d.x) && typeof d.y === 'number' && isFinite(d.y); });
if (usable.length < 3) return; // not enough positioned points yet
var t = currentTransform || d3.zoomIdentity;
if (t.k && t.k < 0.08) {
// Skip density at extreme zoom-out to avoid numerical instability/perf issues
densityLayer.selectAll('*').remove();
return;
}
function hexToRgb(hex){
if (!hex) return {r: 0, g: 200, b: 255};
var c = hex.replace('#','');
if (c.length === 3) c = c.split('').map(function(x){ return x+x; }).join('');
var num = parseInt(c, 16);
return { r: (num >> 16) & 255, g: (num >> 8) & 255, b: num & 255 };
}
// Build groups across all nodes
var groups = {};
for (var i = 0; i < usable.length; i++) {
var k = getGroupKey(usable[i]);
if (!groups[k]) groups[k] = [];
groups[k].push(usable[i]);
}
densityLayer.selectAll('*').remove();
Object.keys(groups).forEach(function(key){
var arr = groups[key];
if (!arr || arr.length < 3) return;
// Transform positions into screen space and sample to cap cost
var arrT = [];
var step = Math.max(1, Math.floor(arr.length / MAX_POINTS_PER_GROUP));
for (var j = 0; j < arr.length; j += step) {
var nx = t.applyX(arr[j].x);
var ny = t.applyY(arr[j].y);
if (isFinite(nx) && isFinite(ny)) {
arrT.push({ x: nx, y: ny, type: arr[j].type, color: arr[j].color });
}
}
if (arrT.length < 3) return;
// Compute adaptive bandwidth based on group spread
var cx = 0, cy = 0;
for (var k = 0; k < arrT.length; k++){ cx += arrT[k].x; cy += arrT[k].y; }
cx /= arrT.length; cy /= arrT.length;
var sumR = 0;
for (var k2 = 0; k2 < arrT.length; k2++){
var dx = arrT[k2].x - cx, dy = arrT[k2].y - cy;
sumR += Math.sqrt(dx*dx + dy*dy);
}
var avgR = sumR / arrT.length;
var dynamicBandwidth = Math.max(12, Math.min(80, avgR));
var densityBandwidth = dynamicBandwidth / (t.k || 1);
var contours = d3.contourDensity()
.x(function(d){ return d.x; })
.y(function(d){ return d.y; })
.size([width, height])
.bandwidth(densityBandwidth)
.thresholds(8)
(arrT);
if (!contours || contours.length === 0) return;
var maxVal = d3.max(contours, function(d){ return d.value; }) || 1;
// Use the first node color in the group or fallback neon palette
var baseColor = (arr.find(function(d){ return d && d.color; }) || {}).color || '#00c8ff';
var rgb = hexToRgb(baseColor);
var g = densityLayer.append('g').attr('data-group', key);
g.selectAll('path')
.data(contours)
.enter()
.append('path')
.attr('d', geoPath)
.attr('fill', 'rgb(' + rgb.r + ',' + rgb.g + ',' + rgb.b + ')')
.attr('stroke', 'none')
.style('opacity', function(d){
var v = maxVal ? (d.value / maxVal) : 0;
var alpha = Math.pow(Math.max(0, Math.min(1, v)), 1.6); // accentuate clusters
return 0.65 * alpha; // up to 0.65 opacity at peak density
})
.style('filter', 'blur(2px)');
});
} catch (e) {
// Reduce impact of any runtime errors during zoom
console.warn('Density update failed:', e);
}
}
simulation.on("tick", function() {
link.attr("x1", d => d.source.x)
.attr("y1", d => d.source.y)
.attr("x2", d => d.target.x)
.attr("y2", d => d.target.y);
edgeLabels
.attr("x", d => (d.source.x + d.target.x) / 2)
.attr("y", d => (d.source.y + d.target.y) / 2 - 5);
node.attr("cx", d => d.x)
.attr("cy", d => d.y);
nodeGroup.select("text")
.attr("x", d => d.x)
.attr("y", d => d.y)
.attr("dy", 4)
.attr("text-anchor", "middle");
densityTick += 1;
if (densityTick % 24 === 0) updateDensity();
});
var zoomBehavior = d3.zoom()
.on("start", function(){ isInteracting = true; densityLayer.style("opacity", 0.2); })
.on("zoom", function(){
currentTransform = d3.event.transform;
container.attr("transform", currentTransform);
})
.on("end", function(){
if (densityZoomTimer) clearTimeout(densityZoomTimer);
densityZoomTimer = setTimeout(function(){ isInteracting = false; densityLayer.style("opacity", 1); updateDensity(); }, 140);
});
svg.call(zoomBehavior);
function dragstarted(d) {
if (!d3.event.active) simulation.alphaTarget(0.3).restart();
d.fx = d.x;
d.fy = d.y;
isInteracting = true;
densityLayer.style("opacity", 0.2);
}
function dragged(d) {
d.fx = d3.event.x;
d.fy = d3.event.y;
}
function dragended(d) {
if (!d3.event.active) simulation.alphaTarget(0);
d.fx = null;
d.fy = null;
if (densityZoomTimer) clearTimeout(densityZoomTimer);
densityZoomTimer = setTimeout(function(){ isInteracting = false; densityLayer.style("opacity", 1); updateDensity(); }, 140);
}
window.addEventListener("resize", function() {
width = window.innerWidth;
height = window.innerHeight;
svg.attr("width", width).attr("height", height);
simulation.force("center", d3.forceCenter(width / 2, height / 2));
simulation.alpha(1).restart();
updateDensity();
applyLabelSize();
});
// Initial density draw
updateDensity();
applyLabelSize();
</script>
<svg style="position: fixed; bottom: 10px; right: 10px; width: 150px; height: auto; z-index: 9999;" viewBox="0 0 158 44" fill="none" xmlns="http://www.w3.org/2000/svg">
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</svg>
</body>
</html>
"""
# Safely embed JSON inside <script> by escaping </ to avoid prematurely closing the tag
def _safe_json_embed(obj):
return json.dumps(obj).replace("</", "<\\/")
html_content = html_template.replace("{nodes}", _safe_json_embed(nodes_list))
html_content = html_content.replace("{links}", _safe_json_embed(links_list))
if not destination_file_path:
home_dir = os.path.expanduser("~")
destination_file_path = os.path.join(home_dir, "graph_visualization.html")
dir_path = os.path.dirname(destination_file_path)
file_path = os.path.basename(destination_file_path)
file_storage = LocalFileStorage(dir_path)
file_storage.store(file_path, html_content, overwrite=True)
logger.info(f"Graph visualization saved as {destination_file_path}")
return html_content