knowledge_graph.py

# knowledge_graph.py

import json
from typing import Dict, List, Optional
from graphviz import Digraph

class QuantumKnowledgeGraph:
    """
    Represents a dynamic, multi-modal knowledge graph.
    """
    def __init__(self):
        self.nodes: Dict[int, Dict[str, any]] = {}
        self.relations: List[Dict[str, any]] = []
        self.node_counter = 0

    def create_node(self, content: Dict, node_type: str) -> int:
        self.node_counter += 1
        self.nodes[self.node_counter] = {
            "id": self.node_counter,
            "content": content,
            "type": node_type,
            "connections": []
        }
        return self.node_counter

    def create_relation(self, source: int, target: int, rel_type: str, strength: float = 1.0) -> None:
        self.relations.append({
            "source": source,
            "target": target,
            "type": rel_type,
            "strength": strength
        })
        self.nodes[source]["connections"].append(target)

    def visualize_graph(self, focus_node: Optional[int] = None) -> str:
        dot = Digraph(engine="neato")
        for nid, node in self.nodes.items():
            label = f"{node['type']}\n{self._truncate_content(node['content'])}"
            dot.node(str(nid), label)
        for rel in self.relations:
            dot.edge(str(rel["source"]), str(rel["target"]), label=rel["type"])
        if focus_node:
            dot.node(str(focus_node), color="red", style="filled")
        return dot.source

    def _truncate_content(self, content: Dict) -> str:
        return json.dumps(content)[:50] + "..."