From 336df48c42299a3785077b2fbf61c5673167e4cb Mon Sep 17 00:00:00 2001
From: Prithviraj_1657 <prithviraj.nst@gmail.com>
Date: Fri, 17 Oct 2025 00:02:18 +0530
Subject: [PATCH] add Graphviz export utility for visualizing code graphs

---
 src/codegraphcontext/graph_export.py | 123 +++++++++++++++++++++++++++
 1 file changed, 123 insertions(+)
 create mode 100644 src/codegraphcontext/graph_export.py

diff --git a/src/codegraphcontext/graph_export.py b/src/codegraphcontext/graph_export.py
new file mode 100644
index 0000000..8461677
--- /dev/null
+++ b/src/codegraphcontext/graph_export.py
@@ -0,0 +1,123 @@
+"""
+graph_export.py
+----------------
+Utility for exporting the internal code graph into a Graphviz DOT (.dot) file.
+
+This script assumes there is a graph object or manager with methods to list
+nodes and edges. You can integrate it with your existing graph backend easily.
+
+Usage (CLI):
+    python3 -m codegraphcontext.graph_export --output graph.dot
+    python3 -m codegraphcontext.graph_export --output graph.dot --limit 100
+"""
+
+import argparse
+import sys
+from typing import List, Optional, Any
+
+
+class SimpleGraph:
+    """
+    Mock graph structure for demonstration.
+    Replace this with your actual graph manager (e.g., Neo4j, NetworkX, etc.).
+    """
+    def __init__(self):
+        # Example sample graph
+        self.nodes = [
+            {"id": "FuncA", "label": "FuncA", "type": "function"},
+            {"id": "FuncB", "label": "FuncB", "type": "function"},
+            {"id": "ClassX", "label": "ClassX", "type": "class"},
+        ]
+        self.edges = [
+            {"source": "FuncA", "target": "FuncB", "label": "calls"},
+            {"source": "ClassX", "target": "FuncA", "label": "contains"},
+        ]
+
+    def get_nodes(self) -> List[Any]:
+        return self.nodes
+
+    def get_edges(self) -> List[Any]:
+        return self.edges
+
+
+def export_to_dot(
+    graph: SimpleGraph,
+    output_path: str,
+    limit: Optional[int] = None,
+    node_types: Optional[List[str]] = None,
+    edge_labels: Optional[List[str]] = None,
+) -> None:
+    """
+    Export graph data to Graphviz DOT format.
+    """
+    nodes = graph.get_nodes()
+    edges = graph.get_edges()
+
+    if node_types:
+        nodes = [n for n in nodes if n["type"] in node_types]
+        valid_ids = {n["id"] for n in nodes}
+    else:
+        valid_ids = {n["id"] for n in nodes}
+
+    if edge_labels:
+        edges = [e for e in edges if e["label"] in edge_labels]
+    edges = [e for e in edges if e["source"] in valid_ids and e["target"] in valid_ids]
+
+    if limit:
+        nodes = nodes[:limit]
+        valid_ids = {n["id"] for n in nodes}
+        edges = [e for e in edges if e["source"] in valid_ids and e["target"] in valid_ids]
+
+    with open(output_path, "w", encoding="utf-8") as f:
+        f.write("digraph CodeGraph {\n")
+        for n in nodes:
+            label = f'{n["label"]}\\n({n["type"]})'
+            f.write(f'  "{n["id"]}" [label="{label}"];\n')
+        for e in edges:
+            f.write(f'  "{e["source"]}" -> "{e["target"]}" [label="{e["label"]}"];\n')
+        f.write("}\n")
+
+    print(f"[✓] Graph exported successfully to {output_path}")
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description="Export internal code graph to Graphviz DOT format."
+    )
+    parser.add_argument(
+        "--output",
+        "-o",
+        required=True,
+        help="Output file path for the .dot file",
+    )
+    parser.add_argument(
+        "--limit",
+        "-l",
+        type=int,
+        help="Limit number of nodes to export",
+    )
+    parser.add_argument(
+        "--node-types",
+        nargs="*",
+        help="Filter by node types (e.g. function class variable)",
+    )
+    parser.add_argument(
+        "--edge-labels",
+        nargs="*",
+        help="Filter by edge labels (e.g. calls inherits contains)",
+    )
+
+    args = parser.parse_args()
+
+    g = SimpleGraph()  # replace with your graph manager
+    export_to_dot(
+        g,
+        output_path=args.output,
+        limit=args.limit,
+        node_types=args.node_types,
+        edge_labels=args.edge_labels,
+    )
+
+
+if __name__ == "__main__":
+    main()