293 lines
15 KiB
Python
293 lines
15 KiB
Python
# -*- encoding:utf-8 -*-
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import json
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import logging
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import os
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import time
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from flask_app.main.截取pdf import truncate_pdf_multiple
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from flask_app.main.table_content_extraction import extract_tables_main
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from flask_app.main.知识库操作 import addfileToKnowledge, deleteKnowledge
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from flask_app.main.投标人须知正文条款提取成json文件 import convert_clause_to_json
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from flask_app.main.json_utils import nest_json_under_key, transform_json_values, combine_json_results
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from flask_app.main.无效标和废标和禁止投标整合 import combine_find_invalid
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from flask_app.main.投标人须知正文提取指定内容 import extract_from_notice
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import concurrent.futures
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from flask_app.main.基础信息整合 import project_basic_info
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from flask_app.main.资格审查模块 import combine_review_standards
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from flask_app.main.商务标技术标整合 import combine_evaluation_standards
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from flask_app.main.format_change import pdf2docx, docx2pdf
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from flask_app.main.docx截取docx import copy_docx
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def get_global_logger(unique_id):
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if unique_id is None:
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return logging.getLogger() # 获取默认的日志器
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logger = logging.getLogger(unique_id)
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return logger
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logger=None
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# 可能有问题：pdf转docx导致打勾符号消失
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def preprocess_files(output_folder, downloaded_file_path, file_type, unique_id):
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logger.info("starting 文件预处理...")
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logger.info("output_folder..."+output_folder)
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# 根据文件类型处理文件路径
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if file_type == 1: # docx
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docx_path = downloaded_file_path
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pdf_path = docx2pdf(docx_path) # 将docx转换为pdf以供后续处理
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elif file_type == 2: # pdf
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pdf_path = downloaded_file_path
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docx_path = pdf2docx(pdf_path) # 将pdf转换为docx以供上传到知识库
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else:
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# 如果文件类型不是预期中的1或2，记录错误并返回None
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logger.error("Unsupported file type provided. Preprocessing halted.")
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return None
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# 上传知识库
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knowledge_name = "招标解析" + unique_id
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index = addfileToKnowledge(docx_path, knowledge_name)
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# 调用截取PDF多次
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truncate_files = truncate_pdf_multiple(pdf_path, output_folder) # [前附表, 评标办法, 须知正文, 资格审查条件]
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# 处理各个部分
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truncate0_docpath = pdf2docx(truncate_files[0]) # 投标人须知前附表转docx
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invalid_docpath = copy_docx(docx_path) #docx截取无效标部分
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truncate_jsonpath=extract_tables_main(truncate0_docpath, output_folder) # 投标人须知前附表docx->json,从表格提取数据
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truncate0 = truncate_files[0] #投标人须知前附表
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truncate1 = truncate_files[1] #评标办法前附表
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truncate3 = truncate_files[3] #资格审查表
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clause_path = convert_clause_to_json(truncate_files[2], output_folder) # 投标人须知正文条款pdf->json
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logger.info("文件预处理done")
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return {
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'input_file_path':downloaded_file_path,
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'output_folder':output_folder,
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'truncate0': truncate0,
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'truncate1': truncate1,
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'truncate3': truncate3,
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'knowledge_index': index,
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'knowledge_name': knowledge_name,
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'truncate0_jsonpath': truncate_jsonpath,
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'clause_path': clause_path,
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'invalid_docpath': invalid_docpath
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}
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def post_processing(data,includes):
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# 初始化结果字典，预设'其他'分类为空字典
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result = {"其他": {}}
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# 遍历原始字典的每一个键值对
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for key, value in data.items():
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if key in includes:
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# 如果键在includes列表中，直接保留这个键值对
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result[key] = value
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else:
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# 如果键不在includes列表中，将这个键值对加入到'其他'分类中
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result["其他"][key] = value
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# 如果'其他'分类没有任何内容，可以选择删除这个键
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if not result["其他"]:
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del result["其他"]
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return result
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# 基本信息
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def fetch_project_basic_info(knowledge_name, truncate0, output_folder, clause_path): # 投标人须知前附表
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logger.info("starting基础信息...")
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basic_res = project_basic_info(knowledge_name, truncate0, output_folder, clause_path)
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logger.info("基础信息done")
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return basic_res
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# 形式、响应、资格评审
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def fetch_qualification_review(truncate1, truncate3, knowledge_name, truncate0_jsonpath, clause_path,input_file,output_folder):
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logger.info("starting资格审查...")
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review_standards_res = combine_review_standards(truncate1, truncate3, knowledge_name, truncate0_jsonpath,
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clause_path,input_file,output_folder)
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logger.info("资格审查done")
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return review_standards_res
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# 评分细则 流式
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def fetch_evaluation_standards(truncate1): # 评标办法前附表
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logger.info("starting 商务标和技术标...")
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# 获取评标办法前附表的字典结果
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evaluation_standards_res = combine_evaluation_standards(truncate1)
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# 从结果中提取"商务标"和"技术标"
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technical_standards = evaluation_standards_res.get("技术标", {})
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commercial_standards = evaluation_standards_res.get("商务标", {})
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logger.info("商务标和技术标 done")
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# 返回技术标和商务标
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return {"technical_standards": technical_standards, "commercial_standards": commercial_standards}
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# def fetch_evaluation_standards(truncate1): # 评标办法前附表
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# logger.info("starting商务标技术标...")
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# evaluation_standards_res = combine_evaluation_standards(truncate1)
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# logger.info("商务标技术标done")
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# return evaluation_standards_res
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# 无效、废标项解析
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def fetch_invalid_requirements(invalid_docpath, output_folder, truncate0_jsonpath, clause_path, truncate3):
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# 废标项要求：千问
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logger.info("starting无效标与废标...")
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find_invalid_res = combine_find_invalid(invalid_docpath, output_folder, truncate0_jsonpath, clause_path, truncate3)
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logger.info("无效标与废标done...")
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return find_invalid_res
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# 投标文件要求
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def fetch_bidding_documents_requirements(clause_path):
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logger.info("starting投标文件要求...")
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fetch_bidding_documents_requirements_json = extract_from_notice(clause_path, 1)
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qualify_nested_res = nest_json_under_key(fetch_bidding_documents_requirements_json, "投标文件要求")
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logger.info("投标文件要求done...")
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return qualify_nested_res
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# 开评定标流程
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def fetch_bid_opening(clause_path):
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logger.info("starting开评定标流程...")
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fetch_bid_opening_json = extract_from_notice(clause_path, 2)
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qualify_nested_res = nest_json_under_key(fetch_bid_opening_json, "开评定标流程")
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logger.info("开评定标流程done...")
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return qualify_nested_res
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# def main_processing(output_folder, downloaded_file_path, file_type, unique_id): # file_type=1->docx file_type=2->pdf
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# global logger
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# logger = get_global_logger(unique_id)
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# # Preprocess files and get necessary data paths and knowledge index
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# processed_data = preprocess_files(output_folder, downloaded_file_path, file_type, unique_id)
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# if not processed_data:
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# return ""
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#
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# with concurrent.futures.ThreadPoolExecutor() as executor:
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# # Submit all tasks to the executor
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# futures = {
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# 'base_info': executor.submit(fetch_project_basic_info, processed_data['knowledge_name'],
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# processed_data['truncate0'], output_folder,
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# processed_data['clause_path']),
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# 'qualification_review': executor.submit(fetch_qualification_review, processed_data['truncate1'],
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# processed_data['truncate3'],
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# processed_data['knowledge_name'], processed_data['truncate0_jsonpath'],
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# processed_data['clause_path'],processed_data['input_file_path'],processed_data['output_folder']),
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# 'evaluation_standards': executor.submit(fetch_evaluation_standards, processed_data['truncate1']),
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# 'invalid_requirements': executor.submit(fetch_invalid_requirements, processed_data['invalid_docpath'],
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# output_folder, processed_data['truncate0_jsonpath'],
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# processed_data['clause_path'], processed_data['truncate3']),
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# 'bidding_documents_requirements': executor.submit(fetch_bidding_documents_requirements,
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# processed_data['clause_path']),
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# 'opening_bid': executor.submit(fetch_bid_opening, processed_data['clause_path'])
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# }
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#
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# comprehensive_responses = []
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# # Collect results in the defined order
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# for key in ['base_info', 'qualification_review', 'evaluation_standards', 'invalid_requirements',
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# 'bidding_documents_requirements', 'opening_bid']:
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# try:
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# # Wait for the future to complete and get the result
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# result = futures[key].result()
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# comprehensive_responses.append(result)
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# except Exception as exc:
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# logger.error(f"Error processing {key}: {exc}")
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# # 合并 JSON 结果
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# combined_final_result = combine_json_results(comprehensive_responses)
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# includes = ["基础信息", "资格审查", "商务标", "技术标", "无效标与废标项", "投标文件要求", "开评定标流程"]
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# result = post_processing(combined_final_result, includes)
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# modified_json = transform_json_values(result)
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#
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# final_result_path = os.path.join(output_folder, "final_result.json")
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# with open(final_result_path, 'w', encoding='utf-8') as file:
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# json.dump(modified_json, file, ensure_ascii=False, indent=2)
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# logger.info("final_result.json has been saved")
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# deleteKnowledge(processed_data['knowledge_index'])
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# return final_result_path
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#分段返回
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def main_processing(output_folder, downloaded_file_path, file_type, unique_id):
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global logger
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logger = get_global_logger(unique_id)
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# 预处理文件，获取处理后的数据
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processed_data = preprocess_files(output_folder, downloaded_file_path, file_type, unique_id)
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if not processed_data:
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yield "data: {}\n\n" # 如果处理数据失败，返回空
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with concurrent.futures.ThreadPoolExecutor() as executor:
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# 创建任务字典
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futures = {
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'base_info': executor.submit(fetch_project_basic_info, processed_data['knowledge_name'],
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processed_data['truncate0'], output_folder,
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processed_data['clause_path']),
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'qualification_review': executor.submit(fetch_qualification_review, processed_data['truncate1'],
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processed_data['truncate3'],
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processed_data['knowledge_name'], processed_data['truncate0_jsonpath'],
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processed_data['clause_path'], processed_data['input_file_path'],
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processed_data['output_folder']),
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'evaluation_standards': executor.submit(fetch_evaluation_standards, processed_data['truncate1']), # 并行获取技术标和商务标
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'invalid_requirements': executor.submit(fetch_invalid_requirements, processed_data['invalid_docpath'],
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output_folder, processed_data['truncate0_jsonpath'],
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processed_data['clause_path'], processed_data['truncate3']),
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'bidding_documents_requirements': executor.submit(fetch_bidding_documents_requirements,
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processed_data['clause_path']),
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'opening_bid': executor.submit(fetch_bid_opening, processed_data['clause_path'])
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}
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# 每提交一个任务暂停1秒，确保任务逐个提交
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for task_name, future in futures.items():
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time.sleep(1) # 可以保留这个暂停
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# 按照任务完成的顺序返回结果
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for future in concurrent.futures.as_completed(futures.values()):
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key = next(k for k, v in futures.items() if v == future)
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try:
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# 获取任务执行结果
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result = future.result()
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# 处理 evaluation_standards 返回的技术标和商务标分别作为两个结果
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if key == 'evaluation_standards':
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technical_standards = result["technical_standards"]
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commercial_standards = result["commercial_standards"]
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# 分别发送技术标和商务标
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modified_technical_result = transform_json_values({"technical_standards": technical_standards})
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modified_commercial_result = transform_json_values({"commercial_standards": commercial_standards})
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yield f"data: {json.dumps(modified_technical_result, ensure_ascii=False)}\n\n"
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yield f"data: {json.dumps(modified_commercial_result, ensure_ascii=False)}\n\n"
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else:
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# 对非 evaluation_standards 的结果进行 JSON 转换和修改
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modified_result = transform_json_values({key: result})
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yield f"data: {json.dumps(modified_result, ensure_ascii=False)}\n\n"
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except Exception as exc:
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logger.error(f"Error processing {key}: {exc}")
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# 返回错误信息
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yield f"data: {json.dumps({'error': f'Error processing {key}: {str(exc)}'})}\n\n"
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# 删除知识索引
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deleteKnowledge(processed_data['knowledge_index'])
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#TODO:流式输出要改商务标技术标整合
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if __name__ == "__main__":
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output_folder = "flask_app/static/output/zytest1"
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# truncate0 = os.path.join(output_folder, "ztb_tobidders_notice_table.pdf")
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# truncate1=os.path.join(output_folder,"ztb_evaluation_method.pdf")
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# clause_path = convert_clause_to_json(truncate1, output_folder)
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# truncate0_jsonpath = os.path.join(output_folder, "truncate_output3.json")
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start_time = time.time()
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file_type = 1 #1:docx 2:pdf 3:其他
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input_file = "C:\\Users\\Administrator\\Desktop\\招标文件\\招标test文件夹\\zbtest11.pdf"
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# file_path = main_processing(output_folder, input_file, file_type, "uuidzyzy11")
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preprocess_files(output_folder, input_file, file_type, "zytest1")
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end_time = time.time()
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elapsed_time = end_time - start_time # 计算耗时
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print(f"Function execution took {elapsed_time} seconds.")
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