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from py2neo import Graph, Node, Relationship, NodeMatcher
import json
import os
import logging
# 设置日志
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger(__name__)
# 连接到Neo4j数据库
#uri = "bolt://10.1.16.39:7687"
uri = "bolt://localhost:7687"
user = "neo4j"
password = "password"
try:
graph = Graph(uri, auth=(user, password))
logger.info("成功连接到Neo4j数据库")
except Exception as e:
logger.error(f"连接Neo4j数据库失败: {e}")
exit(1)
# 清空数据库(谨慎使用)
try:
graph.run("MATCH (n) DETACH DELETE n")
logger.info("已清空数据库")
except Exception as e:
logger.error(f"清空数据库失败: {e}")
# 删除所有约束
try:
# 获取所有约束
constraints = graph.run("SHOW CONSTRAINTS").data()
for constraint in constraints:
constraint_name = constraint.get("name")
if constraint_name:
graph.run(f"DROP CONSTRAINT {constraint_name}")
logger.info(f"已删除约束: {constraint_name}")
except Exception as e:
logger.warning(f"删除约束失败: {e}")
# 创建约束和索引以提高性能 - 现在不创建任何约束
def create_constraints_and_indexes():
# 不创建任何约束
logger.info("跳过创建约束")
pass
# 创建根节点
def create_root_node():
root = Node("EngineeringData", name="工程")
graph.create(root)
logger.info("创建根节点: 工程")
return root
# 处理ProjectDivisionSet
def process_project_division_set(data, root_node):
# 根据您提供的JSON结构,正确访问projectDivision数据
if "projectData" in data and "projectDivision" in data["projectData"]:
project_division = data["projectData"]["projectDivision"]
elif "projectDivision" in data:
project_division = data["projectDivision"]
else:
logger.warning("JSON中未找到projectDivision数据")
logger.info(f"JSON顶层键: {list(data.keys())}")
return
logger.info(f"开始处理projectDivision,包含 {len(project_division)} 个顶级项目")
# 创建新的ProjectDivisionSet节点 - 项目划分集
division_set = Node("ProjectDivisionSet", name="项目划分集")
graph.create(division_set)
graph.create(Relationship(root_node, "CONTAINS", division_set))
logger.info(f"创建ProjectDivisionSet节点: 项目划分集")
# 处理安装工程和安装这两个ProjectDivisionTree
for first_level_name, first_level_content in project_division.items():
# 处理第一层下的内容,直接创建合并后的ProjectDivisionTree节点
if isinstance(first_level_content, dict):
# 处理一级名称,去掉"工程"字样
processed_first_level = first_level_name.replace("工程", "")
for second_level_name, second_level_content in first_level_content.items():
# 确定最终节点名称
if second_level_name == processed_first_level:
# 如果二级名称与处理后的一级名称相同,直接使用二级名称
final_name = second_level_name
else:
# 否则组合二级名称和处理后的一级名称
final_name = f"{second_level_name}{processed_first_level}"
# 创建ProjectDivisionTree节点
division_tree = Node("ProjectDivisionTree", name=final_name)
# 保存原始名称作为属性
division_tree["original_first_level"] = first_level_name
division_tree["original_second_level"] = second_level_name
# 如果有GUID,添加到节点属性
guid = None
if isinstance(first_level_content, dict) and "GUID" in first_level_content:
division_tree["first_level_GUID"] = first_level_content["GUID"]
guid = first_level_content["GUID"]
graph.create(division_tree)
graph.create(Relationship(division_set, "CONTAINS", division_tree))
logger.info(f"创建ProjectDivisionTree节点: {final_name}")
# 如果有GUID,尝试建立与CostSet的USE关系
if guid:
# 查找对应的CostSet节点
cost_set_query = f"""
MATCH (c:CostSet)
WHERE c.GUID = '{guid}'
RETURN c
"""
cost_set_nodes = list(graph.run(cost_set_query))
if cost_set_nodes:
cost_set_node = cost_set_nodes[0]["c"]
graph.create(Relationship(division_tree, "USE", cost_set_node))
logger.info(f"创建关系: {final_name} USE CostSet (GUID: {guid})")
# 处理第二层下的ProjectDivisionItem列表
if isinstance(second_level_content, list):
logger.info(f"ProjectDivisionTree {final_name} 包含 {len(second_level_content)} 个列表项")
for item in second_level_content:
process_project_division_item(item, division_tree)
else:
logger.warning(f"ProjectDivisionTree {final_name} 的内容类型未知: {type(second_level_content)}")
else:
logger.warning(f"第一层 {first_level_name} 的内容类型未知: {type(first_level_content)}")
# 处理ProjectDivisionItem
def process_project_division_item(item, parent_node):
# 提取必要属性
guid = item.get("GUID", "")
name = item.get("项目名称", "")
if not guid and not name:
logger.warning("ProjectDivisionItem缺少GUID和项目名称")
return
# 创建ProjectDivisionItem节点
item_node = Node("ProjectDivisionItem", GUID=guid, name=name)
# 添加其他属性
for key, value in item.items():
if key not in ["GUID", "项目名称", "children"] and value is not None:
# 检查是否为资源库列表
if key == "资源库列表" and isinstance(value, list):
# 将资源库列表转换为分号分隔的字符串
resource_names = []
for resource in value:
if isinstance(resource, dict) and "资源库名称" in resource:
resource_names.append(resource["资源库名称"])
item_node["资源库名称"] = "".join(resource_names)
logger.info(f"将资源库列表转换为字符串: {item_node['资源库名称']}")
# 检查值是否为基本类型
elif isinstance(value, (str, int, float, bool)):
item_node[key] = value
# 如果是列表,尝试转换为分号分隔的字符串
elif isinstance(value, list):
try:
if all(isinstance(x, (str, int, float, bool)) for x in value):
item_node[key] = "".join(str(x) for x in value)
else:
# 对于包含复杂对象的列表,尝试提取关键信息
extracted_values = []
for item_in_list in value:
if isinstance(item_in_list, dict):
# 尝试提取字典中的名称或标识符
for name_key in ["名称", "name", "标识", "id", "ID"]:
if name_key in item_in_list:
extracted_values.append(str(item_in_list[name_key]))
break
else:
# 如果没有找到名称键,使用第一个键值对
if item_in_list:
first_key = next(iter(item_in_list))
extracted_values.append(f"{first_key}:{item_in_list[first_key]}")
else:
extracted_values.append(str(item_in_list))
item_node[key] = "".join(extracted_values)
except Exception as e:
logger.warning(f"无法将列表属性 {key} 转换为字符串: {e}")
# 如果是字典,尝试转换为字符串
elif isinstance(value, dict):
try:
# 提取字典中的关键信息
extracted_info = []
for dict_key, dict_value in value.items():
if isinstance(dict_value, (str, int, float, bool)):
extracted_info.append(f"{dict_key}:{dict_value}")
item_node[key] = "".join(extracted_info)
except Exception as e:
logger.warning(f"无法将字典属性 {key} 转换为字符串: {e}")
graph.create(item_node)
logger.info(f"创建ProjectDivisionItem节点: {name} (GUID: {guid})")
# 创建与父节点的关系
if isinstance(parent_node, Node) and "ProjectDivisionTree" in parent_node.labels:
graph.create(Relationship(parent_node, "CONTAINS", item_node))
logger.info(f"创建关系: {parent_node['name']} CONTAINS {name}")
else:
graph.create(Relationship(parent_node, "HAS_CHILD", item_node))
logger.info(f"创建关系: {parent_node['name']} HAS_CHILD {name}")
# 如果有GUID,尝试建立与CostSet的USE关系
if guid:
# 查找对应的CostSet节点
cost_set_query = f"""
MATCH (c:CostSet)
WHERE c.GUID = '{guid}'
RETURN c
"""
cost_set_nodes = list(graph.run(cost_set_query))
if cost_set_nodes:
cost_set_node = cost_set_nodes[0]["c"]
graph.create(Relationship(item_node, "USE", cost_set_node))
logger.info(f"创建关系: {name} USE CostSet (GUID: {guid})")
# 处理子项
if "children" in item and item["children"]:
children = item["children"]
logger.info(f"ProjectDivisionItem {name}{len(children)} 个子项")
for child in children:
child_type = child.get("type", child.get("类型", ""))
if child_type == "项目划分":
# 递归处理子ProjectDivisionItem
process_project_division_item(child, item_node)
elif child_type == "8" or child_type == "清单":
# 处理List类型节点
process_list_item(child, item_node)
else:
# 处理ProjectQuantity及其子类
process_project_quantity(child, item_node)
# 处理List及其子类
def process_list_item(list_item, parent_node):
"""处理清单类型的节点"""
# 提取必要属性
guid = list_item.get("GUID", "")
list_name = list_item.get("清单名称")
list_type = list_item.get("类型", "")
# 创建List节点
list_node = Node("List", guid=guid, name=list_name, type=list_type)
# 添加其他属性
for key, value in list_item.items():
if key not in ["清单名称" "类型", "guid", "children"] and value is not None:
# 检查值是否为基本类型
if isinstance(value, (str, int, float, bool)):
list_node[key] = value
# 如果是列表,尝试转换为分号分隔的字符串
elif isinstance(value, list):
try:
if all(isinstance(x, (str, int, float, bool)) for x in value):
list_node[key] = "".join(str(x) for x in value)
else:
# 对于包含复杂对象的列表,尝试提取关键信息
extracted_values = []
for item_in_list in value:
if isinstance(item_in_list, dict):
# 尝试提取字典中的名称或标识符
for name_key in ["名称", "name", "标识", "id", "ID"]:
if name_key in item_in_list:
extracted_values.append(str(item_in_list[name_key]))
break
else:
# 如果没有找到名称键,使用第一个键值对
if item_in_list:
first_key = next(iter(item_in_list))
extracted_values.append(f"{first_key}:{item_in_list[first_key]}")
else:
extracted_values.append(str(item_in_list))
list_node[key] = "".join(extracted_values)
except Exception as e:
logger.warning(f"无法将列表属性 {key} 转换为字符串: {e}")
# 如果是字典,尝试转换为字符串
elif isinstance(value, dict):
try:
# 提取字典中的关键信息
extracted_info = []
for dict_key, dict_value in value.items():
if isinstance(dict_value, (str, int, float, bool)):
extracted_info.append(f"{dict_key}:{dict_value}")
list_node[key] = "".join(extracted_info)
except Exception as e:
logger.warning(f"无法将字典属性 {key} 转换为字符串: {e}")
graph.create(list_node)
logger.info(f"创建List节点: {list_name} (类型: {list_type})")
# 创建与父节点的关系
graph.create(Relationship(parent_node, "HAS_CHILD", list_node))
logger.info(f"创建关系: {parent_node['name']} HAS_CHILD {list_name}")
# 如果有GUID,尝试建立与CostSet的USE关系
if guid:
# 查找对应的CostSet节点
cost_set_query = f"""
MATCH (c:CostSet)
WHERE c.GUID = '{guid}'
RETURN c
"""
cost_set_nodes = list(graph.run(cost_set_query))
if cost_set_nodes:
cost_set_node = cost_set_nodes[0]["c"]
graph.create(Relationship(list_node, "USE", cost_set_node))
logger.info(f"创建关系: {list_name} USE CostSet (GUID: {guid})")
# 处理子项
if "children" in list_item and list_item["children"]:
children = list_item["children"]
logger.info(f"List {list_name}{len(children)} 个子项")
for child in children:
# 确定子项类型
child_type = child.get("type", child.get("类型", ""))
if child_type == "项目划分":
# 递归处理子ProjectDivisionItem
process_project_division_item(child, list_node)
elif child_type == "8" or child_type == "清单":
# 递归处理子List
process_list_item(child, list_node)
else:
# 处理ProjectQuantity及其子类
process_project_quantity(child, list_node)
# 处理ProjectQuantity及其子类
def process_project_quantity(quantity, parent_node):
# 确定具体类型
quantity_type = quantity.get("类型", "")
labels = ["ProjectQuantity"]
# 支持数字和文本类型
if quantity_type == "0" or quantity_type == "定额":
labels.append("Quota")
elif quantity_type == "1" or quantity_type == "主材":
labels.append("MainMaterial")
elif quantity_type == "5" or quantity_type == "设备":
labels.append("Equipment")
# 创建节点
quantity_id = quantity.get("id", "")
quantity_name = quantity.get("项目名称", quantity.get("名称", ""))
# guid = quantity.get("GUID", "")
quantity_node = Node(*labels, id=quantity_id, name=quantity_name)
# 添加其他属性
for key, value in quantity.items():
if key not in ["id", "名称", "项目名称", "材机列表", "children"] and value is not None:
# 检查是否为资源库列表
if key == "资源库列表" and isinstance(value, list):
# 将资源库列表转换为分号分隔的字符串
resource_names = []
for resource in value:
if isinstance(resource, dict) and "资源库名称" in resource:
resource_names.append(resource["资源库名称"])
quantity_node["资源库名称"] = "".join(resource_names)
logger.info(f"将资源库列表转换为字符串: {quantity_node['资源库名称']}")
# 检查值是否为基本类型
elif isinstance(value, (str, int, float, bool)):
quantity_node[key] = value
# 如果是列表,尝试转换为分号分隔的字符串
elif isinstance(value, list):
try:
if all(isinstance(x, (str, int, float, bool)) for x in value):
quantity_node[key] = "".join(str(x) for x in value)
else:
# 对于包含复杂对象的列表,尝试提取关键信息
extracted_values = []
for item_in_list in value:
if isinstance(item_in_list, dict):
# 尝试提取字典中的名称或标识符
for name_key in ["名称", "name", "标识", "id", "ID"]:
if name_key in item_in_list:
extracted_values.append(str(item_in_list[name_key]))
break
else:
# 如果没有找到名称键,使用第一个键值对
if item_in_list:
first_key = next(iter(item_in_list))
extracted_values.append(f"{first_key}:{item_in_list[first_key]}")
else:
extracted_values.append(str(item_in_list))
quantity_node[key] = "".join(extracted_values)
except Exception as e:
logger.warning(f"无法将列表属性 {key} 转换为字符串: {e}")
# 如果是字典,尝试转换为字符串
elif isinstance(value, dict):
try:
# 提取字典中的关键信息
extracted_info = []
for dict_key, dict_value in value.items():
if isinstance(dict_value, (str, int, float, bool)):
extracted_info.append(f"{dict_key}:{dict_value}")
quantity_node[key] = "".join(extracted_info)
except Exception as e:
logger.warning(f"无法将字典属性 {key} 转换为字符串: {e}")
graph.create(quantity_node)
logger.info(f"创建ProjectQuantity节点: {quantity_name} (id: {quantity_id}, 类型: {quantity_type})")
# 创建与父节点的关系
graph.create(Relationship(parent_node, "HAS_COMPONENT", quantity_node))
logger.info(f"创建关系: {parent_node['name']} HAS_COMPONENT {quantity_name}")
# 处理材机列表或children
materials = None
# 先检查是否有材机列表
if "材机列表" in quantity and quantity["材机列表"]:
materials = quantity["材机列表"]
logger.info(f"ProjectQuantity {quantity_name}{len(materials)} 个材机项")
for material in materials:
process_material_or_equipment(material, quantity_node)
# 如果没有材机列表,则检查是否有children
elif "children" in quantity and quantity["children"]:
children = quantity["children"]
logger.info(f"ProjectQuantity {quantity_name}{len(children)} 个子项")
for child in children:
child_type = child.get("类型", child.get("type", ""))
# 如果子项类型为人工、材料或机械,则视为MaterialOrEquipment
if child_type in ["人工", "材料", "机械", "2", "3", "4"]:
process_material_or_equipment(child, quantity_node)
# 如果子项类型为主材、设备或定额,则递归处理为ProjectQuantity
elif child_type in ["1", "主材", "5", "设备", "0", "定额"]:
process_project_quantity(child, quantity_node)
# 处理MaterialOrEquipment
def process_material_or_equipment(material, parent_node):
material_id = material.get("id", material.get("ID", ""))
material_name = material.get("名称", "")
material_type = material.get("类型", material.get("type", ""))
if not material_id and not material_name:
logger.warning("MaterialOrEquipment缺少id和名称")
return
# 创建唯一标识,结合父节点的ID和当前项的id
parent_id = parent_node.get("id", parent_node.get("GUID", ""))
unique_id = f"{parent_id}_{material_id}" if parent_id else material_id
# 直接创建新节点,不检查是否已存在
material_node = Node(
"MaterialOrEquipment", id=material_id, unique_id=unique_id, name=material_name, type=material_type
)
# 添加其他属性
for key, value in material.items():
if key not in ["id", "ID", "名称", "类型", "type"] and value is not None:
# 检查是否为资源库列表
if key == "资源库列表" and isinstance(value, list):
# 将资源库列表转换为分号分隔的字符串
resource_names = []
for resource in value:
if isinstance(resource, dict) and "资源库名称" in resource:
resource_names.append(resource["资源库名称"])
material_node["资源库名称"] = "".join(resource_names)
logger.info(f"将资源库列表转换为字符串: {material_node['资源库名称']}")
# 检查值是否为基本类型
elif isinstance(value, (str, int, float, bool)):
material_node[key] = value
# 如果是列表,尝试转换为分号分隔的字符串
elif isinstance(value, list):
try:
if all(isinstance(x, (str, int, float, bool)) for x in value):
material_node[key] = "".join(str(x) for x in value)
else:
# 对于包含复杂对象的列表,尝试提取关键信息
extracted_values = []
for item_in_list in value:
if isinstance(item_in_list, dict):
# 尝试提取字典中的名称或标识符
for name_key in ["名称", "name", "标识", "id", "ID"]:
if name_key in item_in_list:
extracted_values.append(str(item_in_list[name_key]))
break
else:
# 如果没有找到名称键,使用第一个键值对
if item_in_list:
first_key = next(iter(item_in_list))
extracted_values.append(f"{first_key}:{item_in_list[first_key]}")
else:
extracted_values.append(str(item_in_list))
material_node[key] = "".join(extracted_values)
except Exception as e:
logger.warning(f"无法将列表属性 {key} 转换为字符串: {e}")
# 如果是字典,尝试转换为字符串
elif isinstance(value, dict):
try:
# 提取字典中的关键信息
extracted_info = []
for dict_key, dict_value in value.items():
if isinstance(dict_value, (str, int, float, bool)):
extracted_info.append(f"{dict_key}:{dict_value}")
material_node[key] = "".join(extracted_info)
except Exception as e:
logger.warning(f"无法将字典属性 {key} 转换为字符串: {e}")
graph.create(material_node)
logger.info(f"创建MaterialOrEquipment节点: {material_name} (id: {material_id}, 类型: {material_type})")
# 创建与父节点的关系
graph.create(Relationship(parent_node, "OWNERSHIP", material_node))
logger.info(f"创建关系: {parent_node['name']} OWNERSHIP {material_name}")
# 处理CostSet
def process_cost_set(data, root_node):
# 根据您提供的JSON结构,正确访问expensePreview数据
expense_preview = None
if "projectData" in data and "expensePreview" in data["projectData"]:
expense_preview = data["projectData"]["expensePreview"]
elif "expensePreview" in data:
expense_preview = data["expensePreview"]
else:
logger.warning("JSON中未找到expensePreview数据")
logger.info(f"JSON顶层键: {list(data.keys())}")
return
logger.info("开始处理expensePreview")
# 处理安装工程节点
if "安装工程" in expense_preview:
install_cost_set = Node("CostSet", name="安装工程")
graph.create(install_cost_set)
# graph.create(Relationship(root_node, "HAS_COST_SET", install_cost_set))
logger.info("创建CostSet节点: 安装工程")
# 处理安装节点
if "安装" in expense_preview["安装工程"]:
install_sub_cost_set = Node("CostSet", name="安装")
graph.create(install_sub_cost_set)
graph.create(Relationship(install_cost_set, "HAS_CHILD", install_sub_cost_set))
logger.info("创建CostSet节点: 安装")
# 处理安装下的CostSet列表
for cost_set in expense_preview["安装工程"]["安装"]:
process_cost_set_recursive(cost_set, install_sub_cost_set)
# 递归处理CostSet
def process_cost_set_recursive(cost_set, parent_node):
guid = cost_set.get("GUID", "")
# 使用GUID作为名称,如果GUID为空,则尝试使用项目名称或name
name = guid if guid else cost_set.get("项目名称", cost_set.get("name", "未命名CostSet"))
# 创建CostSet节点
cost_set_node = Node("CostSet", GUID=guid, name=name)
# 添加其他属性
for key, value in cost_set.items():
if key not in ["GUID", "children", "项目名称", "name"] and value is not None:
cost_set_node[key] = value
graph.create(cost_set_node)
logger.info(f"创建CostSet节点: {name} (GUID: {guid})")
# # 创建与父节点的关系
# graph.create(Relationship(parent_node, "HAS_CHILD", cost_set_node))
# logger.info(f"创建关系: {parent_node['name']} HAS_CHILD {name}")
# 处理子项
if "children" in cost_set and cost_set["children"]:
children = cost_set["children"]
logger.info(f"CostSet {name}{len(children)} 个子项")
for child in children:
if "GUID" in child:
# 递归处理子CostSet
process_cost_set_recursive(child, cost_set_node)
else:
# 处理CostItem
process_cost_item(child, cost_set_node)
# 处理CostItem
def process_cost_item(item, parent_node):
item_id = item.get("id", "")
cost = item.get("cost", "")
# 使用id作为名称,如果id为空,则尝试使用name或项目名称
name = item_id if item_id else item.get("name", item.get("项目名称", "未命名CostItem"))
# 创建唯一标识,结合父节点的GUID和当前项的id
parent_guid = parent_node.get("GUID", "")
unique_id = f"{parent_guid}_{item_id}" if parent_guid else item_id
# 直接创建新节点,不检查是否已存在
item_node = Node("CostItem", id=item_id, unique_id=unique_id, cost=cost, name=name)
# 添加其他属性
for key, value in item.items():
if key not in ["id", "cost", "name", "项目名称"] and value is not None:
# 检查是否为资源库列表
if key == "资源库列表" and isinstance(value, list):
# 将资源库列表转换为分号分隔的字符串
resource_names = []
for resource in value:
if isinstance(resource, dict) and "资源库名称" in resource:
resource_names.append(resource["资源库名称"])
item_node["资源库名称"] = "".join(resource_names)
logger.info(f"将资源库列表转换为字符串: {item_node['资源库名称']}")
# 检查值是否为基本类型
elif isinstance(value, (str, int, float, bool)):
item_node[key] = value
# 如果是列表,尝试转换为分号分隔的字符串
elif isinstance(value, list):
try:
if all(isinstance(x, (str, int, float, bool)) for x in value):
item_node[key] = "".join(str(x) for x in value)
else:
# 对于包含复杂对象的列表,尝试提取关键信息
extracted_values = []
for item_in_list in value:
if isinstance(item_in_list, dict):
# 尝试提取字典中的名称或标识符
for name_key in ["名称", "name", "标识", "id", "ID"]:
if name_key in item_in_list:
extracted_values.append(str(item_in_list[name_key]))
break
else:
# 如果没有找到名称键,使用第一个键值对
if item_in_list:
first_key = next(iter(item_in_list))
extracted_values.append(f"{first_key}:{item_in_list[first_key]}")
else:
extracted_values.append(str(item_in_list))
item_node[key] = "".join(extracted_values)
except Exception as e:
logger.warning(f"无法将列表属性 {key} 转换为字符串: {e}")
# 如果是字典,尝试转换为字符串
elif isinstance(value, dict):
try:
# 提取字典中的关键信息
extracted_info = []
for dict_key, dict_value in value.items():
if isinstance(dict_value, (str, int, float, bool)):
extracted_info.append(f"{dict_key}:{dict_value}")
item_node[key] = "".join(extracted_info)
except Exception as e:
logger.warning(f"无法将字典属性 {key} 转换为字符串: {e}")
graph.create(item_node)
logger.info(f"创建CostItem节点: {name} (id: {item_id}, unique_id: {unique_id})")
# 创建与父节点的关系
graph.create(Relationship(parent_node, "CONTAINS", item_node))
logger.info(f"创建关系: {parent_node['name']} CONTAINS {name}")
# 建立实体间的关系
def establish_relationships():
# 建立ProjectDivisionItem与CostSet的关系
query_division_item = """
MATCH (pdi:ProjectDivisionItem), (cs:CostSet)
WHERE pdi.GUID = cs.GUID AND pdi.GUID <> ""
CREATE (pdi)-[:USE]->(cs)
RETURN count(*) as count
"""
try:
result = graph.run(query_division_item)
count = result.data()[0]["count"]
logger.info(f"创建了 {count} 个 ProjectDivisionItem USE CostSet 关系")
except Exception as e:
logger.error(f"创建ProjectDivisionItem与CostSet关系失败: {e}")
# 建立ProjectQuantity与CostSet的关系
query_quantity = """
MATCH (pq:ProjectQuantity), (cs:CostSet)
WHERE pq.id = cs.id AND pq.id <> ""
CREATE (pq)-[:USE]->(cs)
RETURN count(*) as count
"""
try:
result = graph.run(query_quantity)
count = result.data()[0]["count"]
logger.info(f"创建了 {count} 个 ProjectQuantity USE CostSet 关系")
except Exception as e:
logger.error(f"创建ProjectQuantity与CostSet关系失败: {e}")
# 处理取费表模板集(FeeTableTemplateSet)
def process_fee_table_template_set(data, root_node):
# 根据JSON结构,访问costSetting数据
if "projectData" in data and "costSetting" in data["projectData"]:
cost_setting = data["projectData"]["costSetting"]
elif "costSetting" in data:
cost_setting = data["costSetting"]
else:
logger.warning("JSON中未找到costSetting数据")
logger.info(f"JSON顶层键: {list(data.keys())}")
return
logger.info(f"开始处理costSetting,包含 {len(cost_setting)} 个取费表模板集")
# 创建取费表模板集节点
fee_template_set_node = Node("FeeTableTemplateSet", name="取费表模板集")
graph.create(fee_template_set_node)
graph.create(Relationship(root_node, "CONTAINS", fee_template_set_node))
logger.info("创建FeeTableTemplateSet节点: 取费表模板集")
# 处理每个取费表模板集
for template_set_name, template_set_content in cost_setting.items():
# 创建取费表模板集子节点
template_set_node = Node("FeeTableTemplateSet", name=template_set_name)
if "TypeList" in template_set_content:
template_set_node["typeList"] = template_set_content["TypeList"]
graph.create(template_set_node)
graph.create(Relationship(fee_template_set_node, "CONTAINS", template_set_node))
logger.info(f"创建FeeTableTemplateSet子节点: {template_set_name}")
# 处理取费表模板项
if "tables" in template_set_content and isinstance(template_set_content["tables"], list):
for template_item in template_set_content["tables"]:
process_fee_table_template_item(template_item, template_set_node)
# 处理取费表模板项(FeeTableTemplateItem)
def process_fee_table_template_item(template_item, parent_node):
# 提取必要属性
name = template_item.get("name", "")
outlay_id = template_item.get("OutlayID", "")
type_name = template_item.get("类型", "")
profession = template_item.get("专业", "")
if not name:
logger.warning("FeeTableTemplateItem缺少name")
return
# 创建取费表模板项节点
template_item_node = Node(
"FeeTableTemplateItem", name=name, outlayID=outlay_id, type=type_name, profession=profession
)
graph.create(template_item_node)
graph.create(Relationship(parent_node, "CONTAINS", template_item_node))
logger.info(f"创建FeeTableTemplateItem节点: {name} (OutlayID: {outlay_id})")
# 处理取费项
if "children" in template_item and isinstance(template_item["children"], list):
for fee_item in template_item["children"]:
process_fee(fee_item, template_item_node)
# 处理取费(Fee)
def process_fee(fee_item, parent_node):
# 提取必要属性
serial_number = fee_item.get("序号", "")
fee_name = fee_item.get("费用名称", "")
code = fee_item.get("代码", "")
rate = fee_item.get("费率(%)", "")
base = fee_item.get("取费基数", "")
remark = fee_item.get("备注", "")
if not fee_name:
logger.warning("Fee缺少费用名称")
return
# 创建取费节点
fee_node = Node("FeeCollection", serialNumber=serial_number, name=fee_name, code=code)
# 添加其他属性
if rate:
fee_node["rate"] = rate
if base:
fee_node["base"] = base
if remark:
fee_node["remark"] = remark
graph.create(fee_node)
graph.create(Relationship(parent_node, "HAS_COMPONENT", fee_node))
logger.info(f"创建Fee节点: {fee_name} (序号: {serial_number}, 代码: {code})")
# 处理子费用项
if "children" in fee_item and isinstance(fee_item["children"], list):
for child_fee in fee_item["children"]:
process_fee(child_fee, fee_node)
# 处理费用表集(FeeScheduleSet)
def process_fee_schedule_set(data, root_node):
"""处理费用表集、费用表项和费用"""
# 检查projectCost是否存在
if "projectData" in data and "projectCost" in data["projectData"]:
project_cost = data["projectData"]["projectCost"]
elif "projectCost" in data:
project_cost = data["projectCost"]
else:
logger.warning("JSON中未找到projectCost数据")
logger.info(f"JSON顶层键: {list(data.keys())}")
return
logger.info(f"开始处理projectCost,包含 {len(project_cost)} 个费用表项")
# 创建FeeScheduleSet节点 - 工程费用
fee_schedule_set = Node("FeeScheduleSet", name="工程费用")
graph.create(fee_schedule_set)
graph.create(Relationship(root_node, "CONTAINS", fee_schedule_set))
logger.info(f"创建FeeScheduleSet节点: 工程费用")
# 处理费用表集下的费用表项
for fee_table_name, fee_table_content in project_cost.items():
# 创建FeeScheduleItem节点
fee_schedule_item = Node("FeeScheduleItem", name=fee_table_name)
graph.create(fee_schedule_item)
graph.create(Relationship(fee_schedule_set, "CONTAINS", fee_schedule_item))
logger.info(f"创建FeeScheduleItem节点: {fee_table_name}")
# 处理费用表项下的费用列表
if isinstance(fee_table_content, list):
logger.info(f"FeeScheduleItem {fee_table_name} 包含 {len(fee_table_content)} 个费用项")
for fee_item in fee_table_content:
process_fee_item(fee_item, fee_schedule_item)
else:
logger.warning(f"FeeScheduleItem {fee_table_name} 的内容类型未知: {type(fee_table_content)}")
# 处理费用项(Fee)
def process_fee_item(fee, parent_node):
"""处理费用项"""
# 提取必要属性
serial_number = fee.get("序号", "")
name = fee.get("费用名称", "")
code = fee.get("代码", "")
rate = fee.get("费率(%)", "")
amount = fee.get("金额", "")
if not name:
logger.warning("Fee缺少费用名称")
return
# 创建Fee节点
fee_node = Node("Fee", serialNumber=serial_number, name=name, code=code)
# 添加其他属性
if rate:
fee_node["rate"] = rate
if amount:
fee_node["amount"] = amount
# 添加其他属性
for key, value in fee.items():
if key not in ["序号", "费用名称", "代码", "费率(%)", "金额", "children"] and value is not None:
if isinstance(value, (str, int, float, bool)):
fee_node[key] = value
graph.create(fee_node)
logger.info(f"创建Fee节点: {name} (序号: {serial_number})")
# 创建与父节点的关系
graph.create(Relationship(parent_node, "HAS_COMPONENT", fee_node))
# 处理子费用项
if "children" in fee and fee["children"]:
children = fee["children"]
logger.info(f"Fee {name}{len(children)} 个子费用项")
for child in children:
process_fee_item(child, fee_node)
# 处理工程属性集(ProjectPropertySet)和工程属性(ProjectProperty)
def process_project_property_set(data, root_node):
# 检查projectInfo是否存在
if "projectData" in data and "projectInfo" in data["projectData"]:
project_info = data["projectData"]["projectInfo"]
elif "projectInfo" in data:
project_info = data["projectInfo"]
else:
logger.warning("JSON中未找到projectInfo数据")
logger.info(f"JSON顶层键: {list(data.keys())}")
return
logger.info("开始处理projectInfo")
# 创建工程属性集节点
property_set_node = Node("ProjectPropertySet", name="工程属性")
graph.create(property_set_node)
graph.create(Relationship(root_node, "CONTAINS", property_set_node))
logger.info("创建ProjectPropertySet节点: 工程属性")
# 创建工程属性节点
property_node = Node("ProjectProperty")
# 添加所有属性
for key, value in project_info.items():
if value is not None:
property_node[key] = value
graph.create(property_node)
logger.info("创建ProjectProperty节点")
# 创建与属性集的关系
graph.create(Relationship(property_set_node, "HAS_COMPONENT", property_node))
logger.info("创建关系: 工程属性 HAS_COMPONENT ProjectProperty")
# 在main函数中添加对这些函数的调用
def main():
# 创建根节点
root_node = create_root_node()
# 读取JSON文件
json_file_path = "dataset/json/主网预算/变电.json"
with open(json_file_path, "r", encoding="utf-8") as f:
data = json.load(f)
# 先处理费用预览,创建CostSet节点
process_cost_set(data, root_node)
# 再处理项目划分,创建ProjectDivisionSet和ProjectDivisionItem节点,并建立USE关系
process_project_division_set(data, root_node)
# 处理取费表模板集
process_fee_table_template_set(data, root_node)
# 处理费用表集
process_fee_schedule_set(data, root_node)
# 处理工程属性集
process_project_property_set(data, root_node)
# 统计节点和关系数量
count_nodes_and_relationships()
logger.info("知识图谱构建完成")
# 添加统计节点和关系数量的函数
def count_nodes_and_relationships():
# 统计节点数量
node_count_query = """
MATCH (n)
RETURN labels(n) AS labels, count(*) AS count
"""
node_counts = graph.run(node_count_query).data()
logger.info("节点类型统计:")
for count_info in node_counts:
labels = count_info["labels"]
count = count_info["count"]
for label in labels:
logger.info(f" {label}: {count}个节点")
# 统计关系数量
rel_count_query = """
MATCH ()-[r]->()
RETURN type(r) AS type, count(*) AS count
"""
rel_counts = graph.run(rel_count_query).data()
logger.info("关系类型统计:")
for count_info in rel_counts:
rel_type = count_info["type"]
count = count_info["count"]
logger.info(f" {rel_type}: {count}个关系")
if __name__ == "__main__":
main()