# -*- encoding:utf-8 -*- import json import logging import time from concurrent.futures import ThreadPoolExecutor from flask_app.main.截取pdf import truncate_pdf_multiple from flask_app.main.table_content_extraction import extract_tables_main from flask_app.main.投标人须知正文条款提取成json文件 import convert_clause_to_json from flask_app.general.json_utils import transform_json_values from flask_app.main.无效标和废标和禁止投标整合 import combine_find_invalid from flask_app.main.投标人须知正文提取指定内容 import extract_from_notice import concurrent.futures from flask_app.main.基础信息整合快速版 import combine_basic_info from flask_app.main.资格审查模块 import combine_review_standards from flask_app.main.商务评分技术评分整合 import combine_evaluation_standards from flask_app.general.format_change import pdf2docx, docx2pdf,doc2docx from flask_app.general.docx截取docx import copy_docx def get_global_logger(unique_id): if unique_id is None: return logging.getLogger() # 获取默认的日志器 logger = logging.getLogger(unique_id) return logger logger=None # 创建全局线程池 executor = ThreadPoolExecutor() def preprocess_files(output_folder, downloaded_file_path, file_type,unique_id): logger.info("starting 文件预处理...") logger.info("output_folder..." + output_folder) # 根据文件类型处理文件路径 if file_type == 1: # docx docx_path = downloaded_file_path pdf_path = docx2pdf(docx_path) # 将docx转换为pdf以供后续处理 elif file_type == 2: # pdf pdf_path = downloaded_file_path docx_path = pdf2docx(pdf_path) # 将pdf转换为docx以供上传到知识库 elif file_type == 3: #doc pdf_path=docx2pdf(downloaded_file_path) docx_path=doc2docx(downloaded_file_path) else: logger.error("Unsupported file type provided. Preprocessing halted.") return None # 调用截取PDF多次 truncate_files = truncate_pdf_multiple(pdf_path, output_folder,unique_id) # 处理各个部分 truncate0_docpath = pdf2docx(truncate_files[0]) # 投标人须知前附表转docx invalid_path=truncate_files[5] invalid_docpath = copy_docx(docx_path) # docx截取无效标部分 # invalid_docpath=pdf2docx(invalid_path) truncate_jsonpath = extract_tables_main(truncate0_docpath, output_folder) # 投标人须知前附表docx->json truncate0 = truncate_files[0] truncate1 = truncate_files[1] truncate2=truncate_files[2] truncate3 = truncate_files[3] merged_baseinfo_path=truncate_files[-1] clause_path = convert_clause_to_json(truncate_files[2], output_folder) # 投标人须知正文条款pdf->json logger.info("文件预处理done") # 返回包含预处理后文件路径的字典 return { 'file_path': downloaded_file_path, 'output_folder': output_folder, 'invalid_path':invalid_path, 'truncate0': truncate0, 'truncate1': truncate1, 'truncate2':truncate2, 'truncate3': truncate3, 'truncate0_jsonpath': truncate_jsonpath, 'merged_baseinfo_path':merged_baseinfo_path, 'clause_path': clause_path, 'invalid_docpath': invalid_docpath } def post_processing(data,includes): # 初始化结果字典，预设'其他'分类为空字典 result = {"其他": {}} # 遍历原始字典的每一个键值对 for key, value in data.items(): if key in includes: # 如果键在includes列表中，直接保留这个键值对 result[key] = value else: # 如果键不在includes列表中，将这个键值对加入到'其他'分类中 result["其他"][key] = value # 如果'其他'分类没有任何内容，可以选择删除这个键 if not result["其他"]: del result["其他"] return result # 基本信息 def fetch_project_basic_info(merged_baseinfo_path, truncate0, truncate2, clause_path): # 投标人须知前附表 logger.info("starting基础信息...") basic_res = combine_basic_info(merged_baseinfo_path, truncate0, truncate2, clause_path) logger.info("基础信息done") return basic_res # 形式、响应、资格评审 def fetch_qualification_review(truncate1, truncate3,output_folder, truncate0_jsonpath, clause_path,invalid_path,merged_baseinfo_path): logger.info("starting资格审查...") review_standards_res = combine_review_standards(truncate1, truncate3,output_folder, truncate0_jsonpath, clause_path,invalid_path,merged_baseinfo_path) logger.info("资格审查done") return review_standards_res # 评分细则 流式 def fetch_evaluation_standards(truncate1): # 评标办法前附表 logger.info("starting 商务标和技术标...") # 获取评标办法前附表的字典结果 evaluation_standards_res = combine_evaluation_standards(truncate1) # 获取技术标和商务标 technical_standards = {"技术评分": evaluation_standards_res.get("技术评分", {})} commercial_standards = {"商务评分": evaluation_standards_res.get("商务评分", {})} logger.info("商务标和技术标 done") # 返回将 "技术标" 和 "商务标" 包含在新的键中 return { "technical_standards": technical_standards, "commercial_standards": commercial_standards } # 无效、废标项解析 def fetch_invalid_requirements(invalid_docpath, output_folder, truncate0_jsonpath, clause_path, truncate3): # 废标项要求：千问 logger.info("starting无效标与废标...") find_invalid_res = combine_find_invalid(invalid_docpath, output_folder, truncate0_jsonpath, clause_path, truncate3) logger.info("无效标与废标done...") return find_invalid_res # 投标文件要求 def fetch_bidding_documents_requirements(clause_path): logger.info("starting投标文件要求...") fetch_bidding_documents_requirements_json = extract_from_notice(clause_path, 1) logger.info("投标文件要求done...") return {"投标文件要求":fetch_bidding_documents_requirements_json} # 开评定标流程 def fetch_bid_opening(clause_path): logger.info("starting开评定标流程...") fetch_bid_opening_json = extract_from_notice(clause_path, 2) logger.info("开评定标流程done...") return {"开评定标流程":fetch_bid_opening_json} #分段返回 def engineering_bid_main(output_folder, downloaded_file_path, file_type, unique_id): global logger logger = get_global_logger(unique_id) # 预处理文件，获取处理后的数据 processed_data = preprocess_files(output_folder, downloaded_file_path, file_type) if not processed_data: yield json.dumps({}) # 如果处理数据失败，返回空的 JSON with concurrent.futures.ThreadPoolExecutor() as executor: # 立即启动不依赖 knowledge_name 和 index 的任务 futures = { 'base_info': executor.submit(fetch_project_basic_info, processed_data['merged_baseinfo_path'], processed_data['truncate0'], processed_data['truncate2'], processed_data['clause_path']), 'qualification_review': executor.submit(fetch_qualification_review, processed_data['truncate1'], processed_data['truncate3'], output_folder, processed_data['truncate0_jsonpath'], processed_data['clause_path'], processed_data['invalid_path'], processed_data['merged_baseinfo_path']), 'evaluation_standards': executor.submit(fetch_evaluation_standards, processed_data['truncate1']), 'invalid_requirements': executor.submit(fetch_invalid_requirements, processed_data['invalid_docpath'], output_folder, processed_data['truncate0_jsonpath'], processed_data['clause_path'], processed_data['truncate3']), 'bidding_documents_requirements': executor.submit(fetch_bidding_documents_requirements, processed_data['clause_path']), 'opening_bid': executor.submit(fetch_bid_opening, processed_data['clause_path']) } # 提前处理这些不依赖的任务，按完成顺序返回 for future in concurrent.futures.as_completed(futures.values()): key = next(k for k, v in futures.items() if v == future) try: result = future.result() # 如果是 evaluation_standards，拆分技术标和商务标 if key == 'evaluation_standards': technical_standards = result["technical_standards"] commercial_standards = result["commercial_standards"] # 分别返回技术标和商务标 yield json.dumps({'technical_standards': transform_json_values(technical_standards)}, ensure_ascii=False) yield json.dumps({'commercial_standards': transform_json_values(commercial_standards)}, ensure_ascii=False) else: # 处理其他任务的结果 yield json.dumps({key: transform_json_values(result)}, ensure_ascii=False) except Exception as exc: logger.error(f"Error processing {key}: {exc}") yield json.dumps({'error': f'Error processing {key}: {str(exc)}'}, ensure_ascii=False) if __name__ == "__main__": start_time = time.time() output_folder = "C:\\Users\\Administrator\\Desktop\\招标文件\\new_test1" file_type = 2 #1:docx 2:pdf 3:其他 input_file = "C:\\Users\\Administrator\\Desktop\\招标文件\\招标test文件夹\\zbtest2.pdf" print("yes") for output in engineering_bid_main(output_folder, input_file, file_type, "zytest"): print(output) end_time = time.time() elapsed_time = end_time - start_time # 计算耗时 print(f"Function execution took {elapsed_time} seconds.")