import pandas as pd
import json
import os
def generate_html():
print("Loading Contagion Data...")
# Load data from the current directory
df_nodes = pd.read_csv("NAICS_Contagion_Nodes_GitHub.csv")
df_edges = pd.read_csv("NAICS_Contagion_Edges_GitHub.csv")
# Build Vis.js Nodes
nodes = []
seen_nodes = set()
# Map colors to Tiers
color_map = {
'Tier 4': '#ff9f43', # Orange for Raw Materials
'Tier 3': '#ee5253', # Red for Primary
'Tier 2': '#9b59b6', # Purple for Intermediate
'Tier 1': '#3498db' # Blue for Final
}
# Process edges to get all nodes
for _, e in df_edges.iterrows():
src = e['Source Node']
src_tier = e['Source Tier']
tgt = e['Target Node']
tgt_tier = e['Target Tier']
if src not in seen_nodes:
seen_nodes.add(src)
nodes.append({
"id": src,
"label": src,
"group": src_tier,
"color": color_map.get(src_tier, '#bdc3c7'),
"value": 20 if src_tier == 'Tier 4' else 10,
"title": f"{src}
{src_tier}"
})
if tgt not in seen_nodes:
seen_nodes.add(tgt)
# Find contagion score for target
node_data = df_nodes[df_nodes['Primary Name'] == tgt]
score = 5.0
if not node_data.empty:
score = float(node_data.iloc[0]['Contagion Score'])
nodes.append({
"id": tgt,
"label": tgt,
"group": tgt_tier,
"color": color_map.get(tgt_tier, '#bdc3c7'),
"value": score * 3, # Scale for visualization
"title": f"{tgt}
{tgt_tier}
Contagion Score: {score}"
})
# Build Vis.js Edges
edges = []
for _, e in df_edges.iterrows():
edges.append({
"from": e['Source Node'],
"to": e['Target Node'],
"title": e['Edge Type'],
"arrows": "to",
"color": {"color": "rgba(255,255,255,0.2)", "highlight": "rgba(255,255,255,0.8)"}
})
nodes_json = json.dumps(nodes)
edges_json = json.dumps(edges)
# --- STUNNING HTML TEMPLATE (Dark Mode, Glassmorphism) ---
html_content = f"""
NAICS Contagion Intelligence Map
NAICS CONTAGION INTELLIGENCE
"""
out_path = "NAICS_Contagion_Visualizer.html"
with open(out_path, "w", encoding="utf-8") as f:
f.write(html_content)
print(f"Visualization generated successfully at: {out_path}")
if __name__ == "__main__":
generate_html()