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import json
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from Neo4j.Neo4jExecutor import *
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# Neo4j连接配置
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graph = Graph(NEO4J_URI, auth=NEO4J_AUTH)
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class Py2neoLoader:
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def __init__(self):
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self.node_cache = {}
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self.tx = graph.begin() # 初始化事务
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def create_literacy_nodes(self, data):
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try:
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print("Received data structure keys:", data.keys())
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# 创建核心素养节点
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if "tree" in data and len(data["tree"]) > 0:
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self._create_core_node(data["tree"][0])
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else:
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raise ValueError("Invalid data structure: missing 'tree' array")
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# 创建关联体系节点（处理第二个节点）
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if len(data["tree"]) > 1:
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self._create_relation_system(data["tree"][1])
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graph.commit(self.tx) # 替换 self.tx.commit()
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print(f"数据导入成功！共处理{len(self.node_cache)}个节点")
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except Exception as e:
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graph.rollback(self.tx) # 替换 self.tx.rollback()
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print("主流程错误:", str(e))
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raise
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def _create_core_node(self, node):
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try:
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core_node = Node("CoreLiteracy",
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title=node.get("title", "未命名节点"),
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value=node.get("value", "CORE_DEFAULT"),
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key=node.get("key", "ROOT_DEFAULT"))
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self.tx.merge(core_node, "CoreLiteracy", "value")
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self.node_cache[node.get("value")] = core_node
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print(f"创建核心节点: {core_node}")
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if "children" in node:
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for child in node["children"]:
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self._create_child_node(child, core_node)
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except Exception as e:
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print(f"创建核心节点出错: {str(e)}")
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print("问题节点数据:", node)
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raise
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def _create_child_node(self, node, parent):
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try:
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if "value" not in node:
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node["value"] = f"AUTO_VALUE_{len(self.node_cache) + 1}"
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print(f"为节点生成默认value: {node['value']}")
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child_node = Node("LiteracyNode",
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title=node.get("title", "未命名子节点"),
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value=node["value"],
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key=node.get("key", ""),
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parentValue=node.get("parentValue", ""),
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preSkills=node.get("preSkills", []))
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self.tx.merge(child_node, "LiteracyNode", "value")
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self.node_cache[node["value"]] = child_node
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if parent is not None:
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rel = Relationship(parent, "HAS_SUB_NODE", child_node)
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self.tx.merge(rel)
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print(f"创建关系: {parent['value']} -> {child_node['value']}")
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# 处理前置技能关系
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for pre_skill in node.get("preSkills", []):
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if pre_skill in self.node_cache:
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pre_node = self.node_cache[pre_skill]
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rel = Relationship(pre_node, "REQUIRES", child_node)
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self.tx.merge(rel)
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else:
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print(f"警告: 前置技能节点 {pre_skill} 不存在")
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# 递归处理子节点
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if "children" in node:
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for sub_child in node.get("children", []):
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self._create_child_node(sub_child, child_node)
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except Exception as e:
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print(f"创建子节点出错: {str(e)}")
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print("问题节点数据:", node)
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raise
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def _create_relation_system(self, relation_system):
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try:
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# 创建关联体系根节点
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sys_node = Node("RelationSystem",
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title=relation_system.get("title", "未命名关联体系"),
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value=relation_system.get("value", "REL_SYS_DEFAULT"),
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path=relation_system.get("path", []))
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self.tx.merge(sys_node, "RelationSystem", "value")
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print(f"创建关联体系节点: {sys_node}")
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# 处理关联链
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for chain in relation_system.get("children", []):
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chain_node = Node("RelationChain",
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title=chain.get("title", "未命名关联链"),
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value=chain.get("value", f"CHAIN_{len(self.node_cache) + 1}"),
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path=chain.get("path", []))
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self.tx.merge(chain_node, "RelationChain", "value")
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self.tx.merge(Relationship(sys_node, "HAS_CHAIN", chain_node))
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# 处理路径关系
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for path_str in chain.get("path", []):
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nodes = [n.strip() for n in path_str.replace("+", "→").split("→")]
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for i in range(len(nodes) - 1):
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source = self.node_cache.get(nodes[i])
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target = self.node_cache.get(nodes[i + 1])
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if source and target:
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rel = Relationship(source, "NEXT_STEP", target)
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self.tx.merge(rel)
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else:
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print(f"路径节点缺失: {nodes[i]}→{nodes[i + 1]}")
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except Exception as e:
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print(f"创建关联体系出错: {str(e)}")
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print("问题数据:", relation_system)
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raise
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if __name__ == "__main__":
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try:
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with open("小学数学学科素养点体系.json", 'r', encoding='utf-8') as f:
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raw_data = json.load(f)
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print("JSON文件加载成功，顶层键:", raw_data.keys())
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if "data" not in raw_data:
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raise ValueError("JSON缺少'data'字段")
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loader = Py2neoLoader()
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loader.create_literacy_nodes(raw_data["data"])
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except Exception as e:
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print("主程序错误:", str(e)) |
