#!/usr/bin/env python3
import json
import sys
from pathlib import Path
def visualize():
data_dir = Path("../data")
summary_file = data_dir / "project_summary.json"
graph_file = data_dir / "symbol_graph.json"
if not summary_file.exists():
print(f"Error: {summary_file} not found.")
return
print("\n" + "="*60)
print(" DELIA ARCHITECTURAL INDEX VISUALIZER ".center(60, "="))
print("="*60)
with open(summary_file, "r") as f:
summaries = json.load(f)
print(f"\n[Index Statistics]")
print(f" Total Indexed Files: {len(summaries)}")
# Calculate vector stats
with_vectors = [s for s in summaries.values() if s.get("embedding")]
print(f" Files with Embeddings: {len(with_vectors)} / {len(summaries)}")
if with_vectors:
vec_dim = len(with_vectors[0]["embedding"])
print(f" Vector Dimensions: {vec_dim} (mxbai-embed-large)")
print(f"\n[File Breakdown]")
# Sort files by directory for better viewing
sorted_paths = sorted(summaries.keys())
for path in sorted_paths:
s = summaries[path]
status = "✅" if s.get("embedding") else "❌"
# Extract file extension
ext = path.split(".")[-1] if "." in path else "none"
print(f" {status} {path:<40} [{ext:>4}]")
if graph_file.exists():
with open(graph_file, "r") as f:
graph = json.load(f)
print(f"\n[Symbol Graph Statistics]")
total_symbols = 0
# The graph is a dict of {path: {symbols: [], imports: [], mtime: 0}}
for node in graph.values():
total_symbols += len(node.get("symbols", []))
print(f" Tracked File Nodes: {len(graph)}")
print(f" Total Extracted Symbols: {total_symbols}")
# Show top symbols
print(f"\n[Key Symbols (First 10)]")
count = 0
for path, node in graph.items():
for sym in node.get("symbols", []):
if count >= 10: break
print(f" • {sym['name']:<25} ({sym['kind']:<10}) in {path}")
count += 1
if count >= 10: break
print("\n" + "="*60 + "\n")
if __name__ == "__main__":
visualize()
