增加了知识图谱导出excel
This commit is contained in:
@@ -0,0 +1,673 @@
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import json
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import os
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import re
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import uuid
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def _determine_project_type(data):
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"""
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根据division字段判断工程类型
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:param data: 项目数据
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:return: 主网, 配网, 技改
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"""
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# 尝试从数据中获取division字段
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division = None
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if "division" in data:
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division = data["division"]
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# 如果找到division字段
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if division:
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# 去掉"主网-"前缀
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if "-" in division:
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division_type = division.split("-")[0]
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else:
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division_type = division
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if division_type in ["主网", "主网线路"]:
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return "主网"
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elif division_type in ["配网", "配网造价", "配网清单"]:
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return "配网"
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elif division_type in ["技改", "技改造价", "技改清单"]:
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return "技改"
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return None
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def transform_expense_preview(input_file, output_file):
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"""
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转换技改预算线路.json中的expensePreview结构,使其与主网预算线路.json中的结构一致
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思路:
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1. 从projectDivision中提取项目划分结构
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2. 根据这个结构重新生成expensePreview
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3. 将原始expensePreview中的children挂载到对应GUID的节点下
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"""
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print(f"正在读取文件: {input_file}")
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try:
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with open(input_file, "r", encoding="utf-8") as f:
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data = json.load(f)
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print("JSON文件加载成功")
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# 提取原始的expensePreview和projectDivision
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original_expense_preview = data.get("projectData", {}).get("expensePreview", {})
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project_division = data.get("projectData", {}).get("projectDivision", {})
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print(f"原始expensePreview中的顶级分类: {list(original_expense_preview.keys())}")
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print(f"projectDivision中的顶级分类: {list(project_division.keys())}")
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# 创建新的expensePreview结构
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new_expense_preview = {}
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# 创建GUID到原始expensePreview中数据的映射
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guid_to_data = {}
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# 创建GUID到嵌套GUID的映射,用于处理嵌套结构
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guid_to_nested_guids = {}
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# 记录已处理过的GUID,避免重复添加
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processed_guids = set()
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# 递归处理嵌套结构
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def extract_guid_data(obj, path="", parent_guid=None):
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if isinstance(obj, dict):
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# 检查当前对象是否有guid字段
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guid = obj.get("guid")
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if guid:
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# 保存整个对象数据
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guid_to_data[guid] = obj
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# 同时保存大写GUID的映射,以处理大小写不一致问题
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guid_to_data[guid.upper()] = obj
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# 如果有父GUID,记录嵌套关系
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if parent_guid:
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if parent_guid not in guid_to_nested_guids:
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guid_to_nested_guids[parent_guid] = []
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guid_to_nested_guids[parent_guid].append(guid)
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# 继续递归处理所有子项
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current_guid = guid if guid else parent_guid
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for key, value in obj.items():
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new_path = f"{path}.{key}" if path else key
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extract_guid_data(value, new_path, current_guid)
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elif isinstance(obj, list):
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for i, item in enumerate(obj):
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new_path = f"{path}[{i}]"
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extract_guid_data(item, new_path, parent_guid)
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# 对每个顶级分类进行递归处理
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for category, category_data in original_expense_preview.items():
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if isinstance(category_data, dict):
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# 处理每个顶级节点
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for key, item_data in category_data.items():
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# 检查键名是否是GUID格式
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if key.startswith("{") and key.endswith("}"):
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# 带清单的结构:键名是GUID格式
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parent_guid = key.strip("{}")
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# 递归处理该GUID下的所有数据
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extract_guid_data(item_data, f"{category}.{key}", parent_guid)
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# 直接添加到guid_to_data映射中
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if "guid" not in item_data:
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item_data["guid"] = key
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guid_to_data[parent_guid] = item_data
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else:
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# 不带清单的结构:键名是描述性名称
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if isinstance(item_data, dict) and "guid" in item_data:
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# 直接保存到guid_to_data映射中
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guid = item_data["guid"]
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guid_stripped = guid.strip("{}")
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guid_to_data[guid] = item_data
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guid_to_data[guid_stripped] = item_data
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guid_to_data[guid.upper()] = item_data
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guid_to_data[guid_stripped.upper()] = item_data
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else:
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# 递归处理
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extract_guid_data(item_data, f"{category}.{key}")
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else:
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# 不是字典结构,直接递归处理
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extract_guid_data(category_data, category)
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print(f"找到 {len(guid_to_data)} 个GUID映射")
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print(f"找到 {len(guid_to_nested_guids)} 个嵌套GUID关系")
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# 处理projectDivision中的数据
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for category, items in project_division.items():
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if category == "工程量" and isinstance(items, dict):
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for specialty_type, specialty_items in items.items():
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if isinstance(specialty_items, list) and specialty_items:
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print(f"处理专业类型: {specialty_type}")
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# 创建专业类型的分类
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if specialty_type not in new_expense_preview:
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new_expense_preview[specialty_type] = []
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# 处理每个项目
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for item in specialty_items:
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if item.get("type") == "项目划分":
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# 构建项目层级
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project_hierarchy = build_project_hierarchy(
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item, guid_to_data, guid_to_nested_guids, processed_guids
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)
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if project_hierarchy:
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new_expense_preview[specialty_type].append(project_hierarchy)
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# 如果没有从projectDivision中找到数据,保留原始的expensePreview结构
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if not new_expense_preview:
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print("未从projectDivision中找到数据,保留原始结构")
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for category, category_data in original_expense_preview.items():
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if category not in new_expense_preview:
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new_expense_preview[category] = []
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# 尝试转换原始结构为列表结构
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for item_key, item_data in category_data.items():
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if isinstance(item_data, dict):
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# 检查是否是直接包含guid的项
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if "guid" in item_data:
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guid = item_data["guid"]
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new_item = {"GUID": guid}
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# 复制所有其他属性
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for k, v in item_data.items():
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if k != "guid":
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new_item[k] = v
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new_expense_preview[category].append(new_item)
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else:
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# 处理嵌套结构
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for nested_key, nested_data in item_data.items():
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if isinstance(nested_data, dict) and "guid" in nested_data:
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guid = nested_data["guid"]
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new_item = {"GUID": guid}
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# 复制所有其他属性
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for k, v in nested_data.items():
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if k != "guid":
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new_item[k] = v
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# 记录父子关系
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parent_guid = item_key.strip("{}")
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if parent_guid:
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if parent_guid not in guid_to_nested_guids:
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guid_to_nested_guids[parent_guid] = []
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guid_to_nested_guids[parent_guid].append(guid)
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new_expense_preview[category].append(new_item)
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# 后处理:移除所有自引用节点
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remove_self_references(new_expense_preview)
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print(f"新expensePreview中的顶级分类: {list(new_expense_preview.keys())}")
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# 更新data中的expensePreview
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data["projectData"]["expensePreview"] = new_expense_preview
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# 保存转换后的文件
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print(f"正在保存文件: {output_file}")
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with open(output_file, "w", encoding="utf-8") as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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print("转换完成!")
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except Exception as e:
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print(f"处理过程中出错: {str(e)}")
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def build_project_hierarchy(item, guid_to_data, guid_to_nested_guids, processed_guids=None):
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"""构建项目的层级结构"""
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guid = item.get("GUID")
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if not guid:
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return None
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# 如果已经处理过该GUID,则跳过
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if processed_guids is not None:
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if guid in processed_guids:
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return None
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processed_guids.add(guid)
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# 创建新的项目节点,只包含GUID
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project_node = {"GUID": guid}
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# 如果在原始数据中有对应的数据,则复制相关属性
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guid_stripped = guid.strip("{}")
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if guid_stripped in guid_to_data:
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original_data = guid_to_data[guid_stripped]
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# 复制children和其他属性
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for key, value in original_data.items():
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if key != "guid": # 不复制guid,因为已经用GUID替代
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# 特殊处理children字段,避免类型错误
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if key == "children" and isinstance(value, list):
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if "children" not in project_node:
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project_node["children"] = []
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# 复制children中的每个元素
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for child in value:
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# 只有当child是包含id和cost的字典时才添加
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if isinstance(child, dict) and ("id" in child or "cost" in child):
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project_node["children"].append(child)
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else:
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# 确保不复制形如"{GUID}": {...}的键值对
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if not (isinstance(key, str) and key.startswith("{") and key.endswith("}")):
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project_node[key] = value
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# 检查是否有嵌套的GUID需要处理
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if guid_stripped in guid_to_nested_guids:
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if "children" not in project_node:
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project_node["children"] = []
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# 为每个嵌套的GUID创建子节点
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for nested_guid in guid_to_nested_guids[guid_stripped]:
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# 避免创建自引用
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if nested_guid == guid_stripped:
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continue
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# 避免重复处理
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if processed_guids is not None and f"{{{nested_guid}}}" in processed_guids:
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continue
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# 标准化GUID格式,确保只有单中括号
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normalized_guid = nested_guid.strip("{}")
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guid_with_braces = "{" + normalized_guid + "}"
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nested_node = {"GUID": guid_with_braces}
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# 记录已处理过的GUID
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if processed_guids is not None:
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processed_guids.add(guid_with_braces)
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# 从guid_to_data中获取嵌套节点的数据
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if nested_guid in guid_to_data:
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nested_data = guid_to_data[nested_guid]
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# 复制嵌套节点的属性
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for key, value in nested_data.items():
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if key != "guid":
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# 确保不复制形如"{GUID}": {...}的键值对
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if not (isinstance(key, str) and key.startswith("{") and key.endswith("}")):
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# 特殊处理children字段
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if key == "children" and isinstance(value, list):
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# 不直接赋值,而是逐个添加元素
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if "children" not in nested_node:
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nested_node["children"] = []
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for child in value:
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# 只有当child是包含id和cost的字典时才添加
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if isinstance(child, dict) and ("id" in child or "cost" in child):
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nested_node["children"].append(child)
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else:
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# 直接复制值,让JSON序列化处理类型转换
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nested_node[key] = value
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# 递归处理嵌套节点的嵌套关系
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if nested_guid in guid_to_nested_guids:
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# 不直接赋值,而是确保children是一个列表
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if "children" not in nested_node:
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nested_node["children"] = []
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build_nested_hierarchy(nested_node, nested_guid, guid_to_data, guid_to_nested_guids, processed_guids)
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project_node["children"].append(nested_node)
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# 处理子项
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children = item.get("children", [])
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if children:
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if "children" not in project_node:
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project_node["children"] = []
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# 递归处理每个子项
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for child in children:
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if child.get("type") == "项目划分":
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child_node = build_project_hierarchy(child, guid_to_data, guid_to_nested_guids, processed_guids)
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if child_node:
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# 避免创建自引用
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if child_node.get("GUID") != guid:
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project_node["children"].append(child_node)
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return project_node
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def build_nested_hierarchy(node, guid, guid_to_data, guid_to_nested_guids, processed_guids=None):
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"""递归构建嵌套的层级结构"""
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if guid in guid_to_nested_guids:
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# 不直接赋值,而是确保children是一个列表
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if "children" not in node:
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node["children"] = []
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for nested_guid in guid_to_nested_guids[guid]:
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# 避免创建自引用
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if nested_guid == guid:
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continue
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# 避免重复处理
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if processed_guids is not None and f"{{{nested_guid}}}" in processed_guids:
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continue
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# 标准化GUID格式,确保只有单中括号
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normalized_guid = nested_guid.strip("{}")
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guid_with_braces = "{" + normalized_guid + "}"
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nested_node = {"GUID": guid_with_braces}
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# 记录已处理过的GUID
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if processed_guids is not None:
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processed_guids.add(guid_with_braces)
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# 从guid_to_data中获取嵌套节点的数据
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if nested_guid in guid_to_data:
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nested_data = guid_to_data[nested_guid]
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# 复制嵌套节点的属性
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for key, value in nested_data.items():
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if key != "guid":
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# 确保不复制形如"{GUID}": {...}的键值对
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if not (isinstance(key, str) and key.startswith("{") and key.endswith("}")):
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# 特殊处理children字段
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if key == "children" and isinstance(value, list):
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# 不直接赋值,而是逐个添加元素
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if "children" not in nested_node:
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nested_node["children"] = []
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for child in value:
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# 只有当child是包含id和cost的字典时才添加
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if isinstance(child, dict) and ("id" in child or "cost" in child):
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nested_node["children"].append(child)
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else:
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# 直接复制值,让JSON序列化处理类型转换
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nested_node[key] = value
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# 递归处理更深层次的嵌套
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if nested_guid in guid_to_nested_guids:
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# 不直接赋值,而是确保children是一个列表
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if "children" not in nested_node:
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nested_node["children"] = []
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build_nested_hierarchy(nested_node, nested_guid, guid_to_data, guid_to_nested_guids, processed_guids)
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node["children"].append(nested_node)
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def remove_self_references(expense_preview):
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"""移除所有自引用节点"""
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for category, items in expense_preview.items():
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if isinstance(items, list):
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for item in items:
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remove_self_references_from_node(item)
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def remove_self_references_from_node(node):
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"""递归移除节点中的自引用"""
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if not isinstance(node, dict):
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return
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guid = node.get("GUID")
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if not guid:
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return
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# 检查children
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if "children" in node and isinstance(node["children"], list):
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# 找出需要移除的自引用节点
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to_remove = []
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for i, child in enumerate(node["children"]):
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if isinstance(child, dict):
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child_guid = child.get("GUID")
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if child_guid:
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# 检查是否是自引用
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if child_guid == guid:
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to_remove.append(i)
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# 检查是否是双重大括号的自引用
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||||
elif child_guid == f"{{{guid.strip('{}')}}}" or f"{{{child_guid.strip('{}')}}}" == guid:
|
||||
to_remove.append(i)
|
||||
# 检查是否是不带大括号的自引用
|
||||
elif child_guid.strip("{}") == guid.strip("{}"):
|
||||
to_remove.append(i)
|
||||
else:
|
||||
# 递归处理子节点
|
||||
remove_self_references_from_node(child)
|
||||
|
||||
# 从后往前移除自引用节点,避免索引变化
|
||||
for i in reversed(to_remove):
|
||||
del node["children"][i]
|
||||
|
||||
|
||||
def find_node_in_expense_preview(expense_preview, target_guid):
|
||||
"""在expensePreview中查找指定GUID的节点"""
|
||||
for category, items in expense_preview.items():
|
||||
if isinstance(items, list):
|
||||
for item in items:
|
||||
result = find_node(item, target_guid)
|
||||
if result:
|
||||
return result
|
||||
return None
|
||||
|
||||
|
||||
def find_node(node, target_guid):
|
||||
"""递归查找指定GUID的节点"""
|
||||
if node.get("GUID") == target_guid:
|
||||
return node
|
||||
|
||||
# 检查children
|
||||
children = node.get("children", [])
|
||||
for child in children:
|
||||
result = find_node(child, target_guid)
|
||||
if result:
|
||||
return result
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def transform_json_types(input_file_path, output_file_path=None):
|
||||
"""
|
||||
主网转换JSON文件中的多个字段值
|
||||
|
||||
参数:
|
||||
input_file_path (str): 输入的JSON文件路径
|
||||
output_file_path (str, 可选): 输出的JSON文件路径,如果为None则覆盖原文件
|
||||
|
||||
返回:
|
||||
dict: 转换后的JSON数据
|
||||
"""
|
||||
# 定义类型映射关系
|
||||
type_mapping = {"8": "清单", "0": "定额", "1": "主材", "5": "设备", "2": "人工", "3": "材料", "4": "机械"}
|
||||
|
||||
# 定义设备类型映射关系
|
||||
device_type_mapping = {"0": "普通设备"}
|
||||
|
||||
# 定义供货方映射关系
|
||||
supplier_mapping = {"1": "甲供", "2": "乙供"}
|
||||
|
||||
# 定义费用类型映射关系
|
||||
fee_type_mapping = {"0": "取费", "1": "不取费"}
|
||||
|
||||
# 读取输入文件
|
||||
with open(input_file_path, "r", encoding="utf-8") as f:
|
||||
data = json.load(f)
|
||||
|
||||
# 递归处理函数
|
||||
def traverse(obj):
|
||||
if isinstance(obj, dict):
|
||||
# 转换"类型"字段
|
||||
if "类型" in obj:
|
||||
current_type = str(obj["类型"])
|
||||
|
||||
if current_type in type_mapping:
|
||||
obj["类型"] = type_mapping[current_type]
|
||||
|
||||
# 转换id为GUID
|
||||
if current_type in ("0", "1", "5") and "id" in obj:
|
||||
obj["GUID"] = obj["id"]
|
||||
del obj["id"]
|
||||
|
||||
if current_type in ("0", "1", "5") and "费用类型" in obj:
|
||||
fee_type = str(obj["费用类型"])
|
||||
if fee_type in fee_type_mapping:
|
||||
obj["费用类型"] = fee_type_mapping[fee_type]
|
||||
|
||||
# 类型为1或5的节点: 转换供货方
|
||||
if current_type in ("1", "5") and "供货方" in obj:
|
||||
supplier = str(obj["供货方"])
|
||||
if supplier in supplier_mapping:
|
||||
obj["供货方"] = supplier_mapping[supplier]
|
||||
|
||||
# 类型为5的节点: 转换设备类型
|
||||
if current_type == "5" and "设备类型" in obj:
|
||||
device_type = str(obj["设备类型"])
|
||||
if device_type in device_type_mapping:
|
||||
obj["设备类型"] = device_type_mapping[device_type]
|
||||
|
||||
# 递归处理所有值
|
||||
for value in obj.values():
|
||||
traverse(value)
|
||||
elif isinstance(obj, list):
|
||||
for item in obj:
|
||||
traverse(item)
|
||||
|
||||
# 执行转换
|
||||
traverse(data)
|
||||
|
||||
# 确定输出路径
|
||||
if output_file_path is None:
|
||||
output_file_path = input_file_path
|
||||
|
||||
# 写入输出文件
|
||||
with open(output_file_path, "w", encoding="utf-8") as f:
|
||||
json.dump(data, f, ensure_ascii=False, indent=2)
|
||||
|
||||
return data
|
||||
|
||||
|
||||
def add_missing_guids_to_nodes(file_path):
|
||||
"""
|
||||
为缺少GUID的定额、主材、设备节点生成GUID
|
||||
|
||||
参数:
|
||||
file_path (str): JSON文件路径
|
||||
"""
|
||||
try:
|
||||
print(f"正在为缺少GUID的节点生成GUID: {file_path}")
|
||||
|
||||
# 读取JSON文件
|
||||
with open(file_path, "r", encoding="utf-8") as f:
|
||||
data = json.load(f)
|
||||
|
||||
# 统计生成的GUID数量
|
||||
generated_count = 0
|
||||
|
||||
def process_node(node):
|
||||
"""递归处理节点,为缺少GUID的定额、主材、设备节点生成GUID"""
|
||||
nonlocal generated_count
|
||||
|
||||
if isinstance(node, dict):
|
||||
# 检查节点类型
|
||||
node_type = node.get("type", "")
|
||||
|
||||
# 如果是定额、主材、设备类型,且没有GUID,则生成一个
|
||||
if node_type in ["定额", "主材", "设备"] and "guid" not in node and "GUID" not in node:
|
||||
new_guid = "{" + str(uuid.uuid4()).upper() + "}"
|
||||
node["guid"] = new_guid
|
||||
generated_count += 1
|
||||
print(f"为{node_type}节点生成GUID: {new_guid}")
|
||||
|
||||
# 递归处理所有子节点
|
||||
for key, value in node.items():
|
||||
if isinstance(value, (dict, list)):
|
||||
process_node(value)
|
||||
|
||||
elif isinstance(node, list):
|
||||
# 处理列表中的每个元素
|
||||
for item in node:
|
||||
process_node(item)
|
||||
|
||||
# 从projectData开始处理
|
||||
if "projectData" in data:
|
||||
process_node(data["projectData"])
|
||||
|
||||
# 保存修改后的文件
|
||||
with open(file_path, "w", encoding="utf-8") as f:
|
||||
json.dump(data, f, ensure_ascii=False, indent=2)
|
||||
|
||||
print(f"✅ 成功为 {generated_count} 个节点生成了GUID")
|
||||
|
||||
except Exception as e:
|
||||
print(f"❌ 为节点生成GUID时出错: {str(e)}")
|
||||
import traceback
|
||||
|
||||
traceback.print_exc()
|
||||
|
||||
|
||||
def process_directory(directory_path):
|
||||
"""
|
||||
批量处理指定目录下的所有JSON文件
|
||||
|
||||
参数:
|
||||
directory_path (str): 包含JSON文件的目录路径
|
||||
"""
|
||||
print(f"开始处理目录: {directory_path}")
|
||||
|
||||
# 确保目录存在
|
||||
if not os.path.exists(directory_path):
|
||||
print(f"错误: 目录 {directory_path} 不存在")
|
||||
return
|
||||
|
||||
# 获取目录中的所有JSON文件
|
||||
json_files = [f for f in os.listdir(directory_path) if f.lower().endswith(".json")]
|
||||
|
||||
if not json_files:
|
||||
print(f"警告: 目录 {directory_path} 中没有找到JSON文件")
|
||||
return
|
||||
|
||||
print(f"找到 {len(json_files)} 个JSON文件")
|
||||
|
||||
# 处理每个JSON文件
|
||||
for json_file in json_files:
|
||||
file_path = os.path.join(directory_path, json_file)
|
||||
print(f"\n处理文件: {file_path}")
|
||||
|
||||
try:
|
||||
# 读取JSON文件
|
||||
with open(file_path, "r", encoding="utf-8") as f:
|
||||
data = json.load(f)
|
||||
|
||||
# 确定项目类型
|
||||
project_type = _determine_project_type(data)
|
||||
|
||||
if project_type:
|
||||
print(f"检测到项目类型: {project_type}")
|
||||
|
||||
# 根据项目类型选择处理方法
|
||||
if project_type == "主网":
|
||||
print("应用主网转换...")
|
||||
transform_json_types(file_path) # 覆盖原文件
|
||||
elif project_type in ["配网", "技改"]:
|
||||
print(f"应用{project_type}转换...")
|
||||
transform_expense_preview(file_path, file_path) # 覆盖原文件
|
||||
|
||||
# 为缺少GUID的定额、主材、设备节点生成GUID
|
||||
add_missing_guids_to_nodes(file_path)
|
||||
|
||||
else:
|
||||
print(f"未知项目类型: {project_type},跳过处理")
|
||||
else:
|
||||
print("无法确定项目类型,跳过处理")
|
||||
|
||||
except Exception as e:
|
||||
print(f"处理文件 {file_path} 时出错: {str(e)}")
|
||||
|
||||
print("\n批量处理完成!")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# 示例用法
|
||||
# # 单文件处理
|
||||
# try:
|
||||
# input_file = "project2json/outputs/json/招标-架线检修.json"
|
||||
# output_file = "project2json/outputs/json/招标-架线检修_transformed.json"
|
||||
# print("直接测试单个文件处理...")
|
||||
# print(f"输入文件: {input_file}")
|
||||
# print(f"输出文件: {output_file}")
|
||||
# transform_expense_preview(input_file, output_file)
|
||||
# print("处理完成!")
|
||||
# except Exception as e:
|
||||
# import traceback
|
||||
|
||||
# print(f"处理过程中出错: {str(e)}")
|
||||
# traceback.print_exc()
|
||||
|
||||
# 批量处理目录
|
||||
json_directory = "project2json/outputs/json"
|
||||
process_directory(json_directory)
|
||||
Reference in New Issue
Block a user