# 竞磋 竞谈 磋商 询价 邀请 单一来源 import json from flask_app.general.format_change import docx2pdf, pdf2docx,doc2docx from flask_app.general.json_utils import transform_json_values from flask_app.货物标.基础信息解析main import combine_basic_info from flask_app.货物标.投标人须知正文提取指定内容货物标版 import extract_from_notice from flask_app.货物标.截取pdf货物标版 import truncate_pdf_multiple from concurrent.futures import ThreadPoolExecutor import concurrent.futures from flask_app.货物标.投标人须知正文条款提取成json文件货物标版 import convert_clause_to_json from flask_app.货物标.无效标和废标和禁止投标整合main import combine_find_invalid from flask_app.货物标.资格审查main import combine_qualification_review from flask_app.货物标.评分标准提取main import combine_evaluation_standards import logging 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, file_path, file_type): 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 = 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 = 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(file_path) docx_path = doc2docx(file_path) else: logger.error("Unsupported file type provided. Preprocessing halted.") return None # # 异步上传知识库 # future_knowledge = executor.submit(addfileToKnowledge, docx_path, "招标解析" + unique_id) # 调用截取PDF多次 truncate_files = truncate_pdf_multiple(pdf_path, output_folder) # index: 0->商务技术服务要求 1->评标办法 2->资格审查 3->投标人须知前附表 4->投标人须知正文 # 处理各个部分 invalid_docpath = docx_path # docx截取无效标部分 procurement_path = truncate_files[0] # 商务技术服务要求 evaluation_method_path = truncate_files[1] # 评标办法 qualification_path = truncate_files[2] # 资格审查 tobidders_notice_path = truncate_files[4] # 投标人须知正文 notice_path = truncate_files[5] merged_baseinfo_path = truncate_files[6] # 合并封面+招标公告+投标人须知前附表+须知正文 clause_path = convert_clause_to_json(tobidders_notice_path, output_folder) # 投标人须知正文条款pdf->json logger.info("文件预处理done") # 提前返回，不等待 future_knowledge 完成，返回包含 Future 对象 return { 'file_path': file_path, 'output_folder': output_folder, 'procurement_path': procurement_path, 'evaluation_method_path': evaluation_method_path, 'qualification_path': qualification_path, 'notice_path': notice_path, # 'knowledge_future': future_knowledge, # 返回 Future 对象 'clause_path': clause_path, 'invalid_docpath': invalid_docpath, 'merged_baseinfo_path': merged_baseinfo_path } def fetch_project_basic_info(merged_baseinfo_path, procurement_file_path): # 投标人须知前附表 logger.info("starting基础信息...") basic_res = combine_basic_info(merged_baseinfo_path, procurement_file_path) base_info,good_list=post_process_baseinfo(basic_res) logger.info("基础信息done") return base_info,good_list def fetch_qualification_review(output_folder, qualification_path, notice_path,merged_baseinfo_path): # 资格审查 logger.info("starting资格审查...") review_standards_res = combine_qualification_review(output_folder, qualification_path, notice_path,merged_baseinfo_path) logger.info("资格审查done") return review_standards_res def fetch_evaluation_standards(evaluation_method_path): # 评标细则 logger.info("starting 商务评分和技术评分...") # 获取评标办法前附表的字典结果 evaluation_standards_res = combine_evaluation_standards(evaluation_method_path) # 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("商务评分和技术评分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 } def fetch_invalid_requirements(invalid_docpath, output_folder): # 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) 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} def post_process_baseinfo(base_info): """ 在 'base_info' 任务完成后执行的函数。 确保在缺少某些键时，返回 good_list=[]。 参数： - base_info (dict): 原始的 base_info 数据。 返回： - tuple: (处理后的 base_info, good_list) """ try: pure_base_info = base_info.get("基础信息", {}) # 尝试提取 '货物列表'，若中间某个键不存在，返回 good_list=[] procurement_reqs = pure_base_info.get('采购要求', {}) technical_requirements = procurement_reqs.get('技术要求', {}) good_list = technical_requirements.pop('货物列表', []) # 如果 '货物列表' 不存在，返回 [] # 删除 '货物列表' 后更新原始的 base_info if '技术要求' in procurement_reqs and not technical_requirements: # 若技术要求为空，删除该键 procurement_reqs.pop('技术要求') if '采购要求' in pure_base_info and not procurement_reqs: # 若采购要求为空，删除该键 pure_base_info.pop('采购要求') # 更新基础信息 base_info['基础信息'] = pure_base_info logger.info(f"Extracted good_list: {good_list}") return base_info, good_list except Exception as e: logger.error(f"Error in post_process_baseinfo: {e}") return base_info, [] # 返回空列表 def goods_bid_main(output_folder, 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, 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 = { 'evaluation_standards': executor.submit(fetch_evaluation_standards, processed_data['evaluation_method_path']), 'invalid_requirements': executor.submit(fetch_invalid_requirements, processed_data['invalid_docpath'], output_folder), 'bidding_documents_requirements': executor.submit(fetch_bidding_documents_requirements, processed_data['clause_path']), 'opening_bid': executor.submit(fetch_bid_opening, processed_data['clause_path']), 'base_info': executor.submit(fetch_project_basic_info, processed_data['merged_baseinfo_path'], processed_data['procurement_path']), 'qualification_review': executor.submit(fetch_qualification_review, output_folder, processed_data['qualification_path'], processed_data['notice_path'], processed_data['merged_baseinfo_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() if key == 'base_info': base_info, good_list = result collected_good_list = good_list # Store good_list for later use yield json.dumps({'base_info': transform_json_values(base_info)}, ensure_ascii=False) # 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 collected_good_list is not None: yield json.dumps({'good_list': transform_json_values(collected_good_list)}, ensure_ascii=False) #广水市 2022 年义务教育学校多媒体补充采购项目 资格审查有问题 #TODO:区分output目录 陕西省公安厅交通警察总队高速公路交通安全智能感知巡查系统项目 (1)_tobidders_notice_part2.pdf提取有问题 #good_list 金额 截取上下文 if __name__ == "__main__": import time # 配置日志器 unique_id = "uuidzyzy11" logger = get_global_logger(unique_id) output_folder = "flask_app/static/output/zytest1" file_type = 1 # 1:docx 2:pdf 3:其他 input_file = "C:\\Users\\Administrator\\Desktop\\货物标\\zbfiles\\6.2定版视频会议磋商文件.pdf" start_time = time.time() # 创建生成器 generator = goods_bid_main(output_folder, input_file, file_type, unique_id) # 迭代生成器，逐步获取和处理结果 for output in generator: print(output) end_time = time.time() elapsed_time = end_time - start_time # 计算耗时 print(f"Function execution took {elapsed_time:.2f} seconds.")