136 lines
6.3 KiB
Python
136 lines
6.3 KiB
Python
import json
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import re
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from flask_app.general.投标人须知正文提取指定内容 import process_nested_data, transform_json, get_requirements_with_gpt
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# 对于每个target_value元素，如果有完美匹配json_data中的键，那就加入这个完美匹配的键名，否则，把全部模糊匹配到的键名都加入
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def find_keys_by_value(target_value, json_data):
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matched_keys = [k for k, v in json_data.items() if v == target_value] # 首先检查 JSON 中的每个键值对，如果值完全等于目标值，则将这些键收集起来。
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if not matched_keys:
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matched_keys = [k for k, v in json_data.items() if
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isinstance(v, str) and v.startswith(target_value)] # 如果没有找到完全匹配的键，它会检查字符串类型的值是否以目标值开头，并收集这些键。
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return matched_keys # eg:[3.1,3.1.1,3.1.2,3.2...]
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# 定义查找以特定前缀开始的键的函数，eg:若match_keys中有3.1，那么以3.1为前缀的键都会被找出来，如3.1.1 3.1.2...
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def find_keys_with_prefix(key_prefix, json_data):
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subheadings = [k for k in json_data if k.startswith(key_prefix)]
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return subheadings
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# 从完整的json文件中读取所需数据，eg:投标、评标
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# def extract_json(data, target_values):
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# results = {}
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#
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# # 遍历所有目标值
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# for target_value in target_values:
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# # 找到所有与目标值匹配的键
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# matched_keys = find_keys_by_value(target_value, data)
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#
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# for key in matched_keys:
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# # 查找所有以该键为前缀的子键，限制只提取直接子项
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# key_and_subheadings = find_keys_with_prefix(key, data)
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#
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# for subkey in key_and_subheadings:
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# # 如果子键有多级结构（比如 '7.2.1'），并且是直接子项
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# if "." in subkey:
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# parent_key = subkey.rsplit('.', 1)[0]
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# top_level_key = parent_key.split('.')[0] + '.'
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#
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# # 确保顶级键不会重复添加
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# if top_level_key not in results:
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# results[top_level_key] = data[top_level_key]
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#
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# # 添加或更新父级键
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# if parent_key not in results:
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# if parent_key in data:
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# results[parent_key] = data[parent_key]
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#
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# # 添加当前子键和它的值
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# if subkey in data:
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# results[subkey] = data[subkey]
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#
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# return results
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def extract_json(data, target_values):
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results = {}
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for target_value in target_values:
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matched_keys = find_keys_by_value(target_value, data)
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for key in matched_keys:
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key_and_subheadings = find_keys_with_prefix(key, data)
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for subkey in key_and_subheadings:
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if "." in subkey:
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parent_key = subkey.rsplit('.', 1)[0]
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top_level_key = parent_key.split('.')[0] + '.'
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# 特别处理定标相关的顶级键，确保不会重复添加其他键
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if top_level_key not in results:
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results[top_level_key] = target_value
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# 添加或更新父级键
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if parent_key not in results:
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if parent_key in data:
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results[parent_key] = data[parent_key]
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# 添加当前键
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results[subkey] = data[subkey]
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return results
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def sort_clean_data_keys(data):
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# 预处理：删除键名中的空格
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def preprocess_key(key):
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return re.sub(r'\s+', '', key)
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# 将键转换成由整数构成的元组，作为排序依据
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def key_func(key):
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return tuple(int(part) for part in re.split(r'\D+', key) if part)
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# 创建一个新的字典，键名经过预处理
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preprocessed_data = {preprocess_key(key): value for key, value in data.items()}
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# 对预处理后的字典键进行排序
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sorted_keys = sorted(preprocessed_data.keys(), key=key_func)
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# 创建一个新的字典，按照排序后的键添加键值对
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sorted_data = {key: preprocessed_data[key] for key in sorted_keys}
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return sorted_data
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"""
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递归处理嵌套的数据结构（字典和列表）。
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对最内层的字符串值应用 post_process 函数。
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post_process 函数尝试将长字符串按特定模式分割成块，每块至少包含50个中英文字符。
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如果字典中所有值都是 ""、"/" 或空列表，则返回'键'的列表。
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"""
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# 读取JSON数据，提取内容，转换结构，并打印结果
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def extract_from_notice(invalid_path,clause_path, type):
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if type == 1:
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target_values = ["投标","投标文件","响应文件"]
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elif type == 2:
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target_values = ["开标", "评标", "定标","磋商程序","中标"]
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elif type == 3:
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target_values = ["重新招标、不再招标和终止招标","重新招标","重新采购", "不再招标", "不再采购","终止招标","终止采购"]
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elif type == 4:
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target_values = ["评标"] # 测试
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else:
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raise ValueError(
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"Invalid type specified. Use 1 for '投标文件, 投标' or 2 for '开标, 评标, 定标'or 3 for '重新招标'")
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with open(clause_path, 'r', encoding='utf-8') as file:
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data = json.load(file)
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extracted_data = extract_json(data, target_values) # 读取json
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# print(json.dumps(extracted_data,ensure_ascii=False,indent=4))
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sorted_data = sort_clean_data_keys(extracted_data) # 对输入的字典 data 的键进行预处理和排序
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transformed_data = transform_json(sorted_data)
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# print(json.dumps(transformed_data,ensure_ascii=False,indent=4))
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final_result = process_nested_data(transformed_data)
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if not final_result:
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final_result = get_requirements_with_gpt(invalid_path, type)
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return final_result
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if __name__ == "__main__":
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# file_path = 'C:\\Users\\Administrator\\Desktop\\fsdownload\\3bffaa84-2434-4bd0-a8ee-5c234ccd7fa0\\clause1.json'
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file_path="C:\\Users\\Administrator\\Desktop\\招标文件\\special_output\\clause1.json"
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try:
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res = extract_from_notice(file_path, 2) # 可以改变此处的 type 参数测试不同的场景
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res2 = json.dumps(res, ensure_ascii=False, indent=4)
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print(res2)
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except ValueError as e:
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print(e)
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