267 lines
13 KiB
Python
267 lines
13 KiB
Python
# 竞磋 竞谈 磋商 询价 邀请 单一来源
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import json
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import time
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from flask_app.general.format_change import docx2pdf, pdf2docx,doc2docx
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from flask_app.general.json_utils import transform_json_values
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from flask_app.货物标.基础信息解析main import combine_basic_info
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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
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from flask_app.货物标.截取pdf货物标版 import truncate_pdf_multiple
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from concurrent.futures import ThreadPoolExecutor
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import concurrent.futures
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from flask_app.货物标.提取json货物标版 import convert_clause_to_json
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from flask_app.general.无效标和废标公共代码 import combine_find_invalid
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from flask_app.货物标.资格审查main import combine_qualification_review
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from flask_app.货物标.评分标准提取main import combine_evaluation_standards
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import logging
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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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# 创建全局线程池
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executor = ThreadPoolExecutor()
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def preprocess_files(output_folder, file_path, file_type,logger):
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logger.info("starting 文件预处理...")
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start_time = time.time()
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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 = 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 = 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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elif file_type == 3: # doc
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pdf_path = docx2pdf(file_path)
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docx_path = doc2docx(file_path)
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else:
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logger.error("Unsupported file type provided. Preprocessing halted.")
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return None
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# # 异步上传知识库
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# future_knowledge = executor.submit(addfileToKnowledge, docx_path, "招标解析" + unique_id)
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# 调用截取PDF多次
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truncate_files = truncate_pdf_multiple(pdf_path,
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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
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# 处理各个部分
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invalid_path=pdf_path
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invalid_docpath = docx_path # docx截取无效标部分
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procurement_path = truncate_files[5] # 采购需求
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evaluation_method_path = truncate_files[1] # 评标办法
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qualification_path = truncate_files[2] # 资格审查
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tobidders_notice_path = truncate_files[4] # 投标人须知正文
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notice_path = truncate_files[0] #招标公告
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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
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clause_path = convert_clause_to_json(tobidders_notice_path, output_folder) # 投标人须知正文条款pdf->json
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end_time = time.time()
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logger.info(f"文件预处理 done，耗时：{end_time - start_time:.2f} 秒")
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# 提前返回，不等待 future_knowledge 完成，返回包含 Future 对象
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return {
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'invalid_path': invalid_path,
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'output_folder': output_folder,
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'procurement_path': procurement_path,
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'evaluation_method_path': evaluation_method_path,
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'qualification_path': qualification_path,
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'notice_path': notice_path,
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# 'knowledge_future': future_knowledge, # 返回 Future 对象
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'clause_path': clause_path,
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'invalid_docpath': invalid_docpath,
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'merged_baseinfo_path': merged_baseinfo_path
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}
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def fetch_project_basic_info(invalid_path,merged_baseinfo_path, procurement_path, clause_path,logger):
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logger.info("starting 基础信息...")
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start_time = time.time()
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if not merged_baseinfo_path:
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merged_baseinfo_path = invalid_path
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if not procurement_path:
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procurement_path=invalid_path
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basic_res = combine_basic_info(merged_baseinfo_path, procurement_path,clause_path,invalid_path)
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base_info, good_list = post_process_baseinfo(basic_res,logger)
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end_time = time.time()
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logger.info(f"基础信息 done，耗时：{end_time - start_time:.2f} 秒")
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return base_info, good_list
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def fetch_qualification_review(invalid_path,qualification_path, notice_path,logger):
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logger.info("starting 资格审查...")
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start_time = time.time()
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review_standards_res = combine_qualification_review(invalid_path,qualification_path, notice_path)
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end_time = time.time()
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logger.info(f"资格审查 done，耗时：{end_time - start_time:.2f} 秒")
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return review_standards_res
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def fetch_evaluation_standards(invalid_path, evaluation_method_path,logger):
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logger.info("starting 商务评分和技术评分...")
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start_time = time.time()
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if not evaluation_method_path:
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evaluation_method_path = invalid_path
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evaluation_standards_res = combine_evaluation_standards(evaluation_method_path)
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technical_standards = {"技术评分": evaluation_standards_res.get("技术评分", {})}
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commercial_standards = {"商务评分": evaluation_standards_res.get("商务评分", {})}
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end_time = time.time()
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logger.info(f"商务评分和技术评分 done，耗时：{end_time - start_time:.2f} 秒")
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return {
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"technical_standards": technical_standards,
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"commercial_standards": commercial_standards
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}
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def fetch_invalid_requirements(invalid_docpath, output_folder,logger):
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logger.info("starting 无效标与废标...")
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start_time = time.time()
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find_invalid_res = combine_find_invalid(invalid_docpath, output_folder)
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end_time = time.time()
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logger.info(f"无效标与废标 done，耗时：{end_time - start_time:.2f} 秒")
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return find_invalid_res
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def fetch_bidding_documents_requirements(invalid_path,merged_baseinfo_path,clause_path,logger):
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logger.info("starting 投标文件要求...")
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if not merged_baseinfo_path:
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merged_baseinfo_path=invalid_path
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start_time = time.time()
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selection=1
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fetch_bidding_documents_requirements_json = extract_from_notice(merged_baseinfo_path,clause_path, selection)
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end_time = time.time()
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logger.info(f"投标文件要求 done，耗时：{end_time - start_time:.2f} 秒")
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return {"投标文件要求": fetch_bidding_documents_requirements_json}
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# 开评定标流程
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def fetch_bid_opening(invalid_path,merged_baseinfo_path,clause_path,logger):
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logger.info("starting 开评定标流程...")
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if not merged_baseinfo_path:
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merged_baseinfo_path=invalid_path
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start_time = time.time()
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selection=2
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fetch_bid_opening_json = extract_from_notice(merged_baseinfo_path,clause_path, selection)
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end_time = time.time()
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logger.info(f"开评定标流程 done，耗时：{end_time - start_time:.2f} 秒")
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return {"开评定标流程": fetch_bid_opening_json}
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def post_process_baseinfo(base_info,logger):
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"""
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在 'base_info' 任务完成后执行的函数。
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确保在缺少某些键时，返回 good_list=[]。
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参数：
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- base_info (dict): 原始的 base_info 数据。
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返回：
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- tuple: (处理后的 base_info, good_list)
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"""
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try:
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pure_base_info = base_info.get("基础信息", {})
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# 尝试提取 '货物列表'，若中间某个键不存在，返回 good_list=[]
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procurement_reqs = pure_base_info.get('采购要求', {})
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technical_requirements = procurement_reqs.get('采购需求', {})
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good_list = technical_requirements.pop('货物列表', []) # 如果 '货物列表' 不存在，返回 []
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# 删除 '货物列表' 后更新原始的 base_info
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if '采购需求' in procurement_reqs and not technical_requirements:
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# 若技术要求为空，删除该键
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procurement_reqs.pop('采购需求')
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if '采购要求' in pure_base_info and not procurement_reqs:
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# 若采购要求为空，删除该键
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pure_base_info.pop('采购要求')
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# 更新基础信息
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base_info['基础信息'] = pure_base_info
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# logger.info(f"Extracted good_list: {good_list}")
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return base_info, good_list
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except Exception as e:
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logger.error(f"Error in post_process_baseinfo: {e}")
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return base_info, [] # 返回空列表
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def goods_bid_main(output_folder, file_path, file_type, unique_id):
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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, file_path, file_type,logger)
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if not processed_data:
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yield json.dumps({}) # 如果处理数据失败，返回空的 JSON
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with concurrent.futures.ThreadPoolExecutor() as executor:
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# 立即启动不依赖 knowledge_name 和 index 的任务
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futures = {
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'evaluation_standards': executor.submit(fetch_evaluation_standards,processed_data['invalid_path'],
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processed_data['evaluation_method_path'],logger),
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'invalid_requirements': executor.submit(fetch_invalid_requirements, processed_data['invalid_docpath'],
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output_folder,logger),
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'bidding_documents_requirements': executor.submit(fetch_bidding_documents_requirements,processed_data['invalid_path'],processed_data['merged_baseinfo_path'],
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processed_data['clause_path'],logger),
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'opening_bid': executor.submit(fetch_bid_opening, processed_data['invalid_path'],processed_data['merged_baseinfo_path'],processed_data['clause_path'],logger),
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'base_info': executor.submit(fetch_project_basic_info, processed_data['invalid_path'],processed_data['merged_baseinfo_path'],
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processed_data['procurement_path'],processed_data['clause_path'],logger),
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'qualification_review': executor.submit(fetch_qualification_review, processed_data['invalid_path'],
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processed_data['qualification_path'],
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processed_data['notice_path'],logger),
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}
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# 提前处理这些不依赖的任务，按完成顺序返回
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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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result = future.result()
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if key == 'base_info':
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base_info, good_list = result
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collected_good_list = good_list # Store good_list for later use
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yield json.dumps({'base_info': transform_json_values(base_info)}, ensure_ascii=False)
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# 如果是 evaluation_standards，拆分技术标和商务标
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elif 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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# 分别返回技术标和商务标
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yield json.dumps({'technical_standards': transform_json_values(technical_standards)},ensure_ascii=False)
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yield json.dumps({'commercial_standards': transform_json_values(commercial_standards)},ensure_ascii=False)
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else:
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# 处理其他任务的结果
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yield json.dumps({key: transform_json_values(result)}, ensure_ascii=False)
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except Exception as exc:
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logger.error(f"Error processing {key}: {exc}")
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yield json.dumps({'error': f'Error processing {key}: {str(exc)}'}, ensure_ascii=False)
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if collected_good_list is not None:
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yield json.dumps({'good_list': transform_json_values(collected_good_list)}, ensure_ascii=False)
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#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
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#TODO:把所有未知都删掉。
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#TODO:考虑把解析失败的调用豆包，全文上传。
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#TODO:同系统下的多个货物，记录一下数量
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#TODO:设备前面带星，而不是要求前面带星。
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#商务标这里改为列表最里层
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#good_list 金额 截取上下文
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if __name__ == "__main__":
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# 配置日志器
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unique_id = "uuidzyzy11"
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# logger = get_global_logger(unique_id)
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output_folder = "flask_app/static/output/zytest1"
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file_type = 1 # 1:docx 2:pdf 3:其他
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input_file = "C:\\Users\\Administrator\\Desktop\\货物标\\zbfiles\\6.2定版视频会议磋商文件.pdf"
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start_time = time.time()
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# 创建生成器
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generator = goods_bid_main(output_folder, input_file, file_type, unique_id)
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# 迭代生成器，逐步获取和处理结果
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for output in generator:
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print(output)
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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:.2f} seconds.")
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