222 lines
10 KiB
Python
222 lines
10 KiB
Python
# -*- encoding:utf-8 -*-
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import json
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import logging
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import time
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from concurrent.futures import ThreadPoolExecutor
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from flask_app.工程标.截取pdf工程标版 import truncate_pdf_multiple
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from flask_app.general.table_content_extraction import extract_tables_main
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from flask_app.old_version.提取json工程标版_old import convert_clause_to_json
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from flask_app.general.json_utils import transform_json_values
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from flask_app.工程标.无效标和废标和禁止投标整合 import combine_find_invalid
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from flask_app.工程标.投标人须知正文提取指定内容工程标 import extract_from_notice
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import concurrent.futures
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from flask_app.工程标.基础信息整合工程标 import combine_basic_info
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from flask_app.工程标.资格审查模块main import combine_review_standards
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from flask_app.old_version.商务评分技术评分整合old_version import combine_evaluation_standards
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from flask_app.general.format_change import pdf2docx, docx2pdf,doc2docx
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from flask_app.general.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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# 创建全局线程池
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executor = ThreadPoolExecutor()
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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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elif file_type == 3: #doc
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pdf_path=docx2pdf(downloaded_file_path)
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docx_path=doc2docx(downloaded_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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# 调用截取PDF多次
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truncate_files = truncate_pdf_multiple(pdf_path, output_folder,unique_id)
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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_path=truncate_files[5]
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invalid_docpath = copy_docx(docx_path) # docx截取无效标部分
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# invalid_docpath=pdf2docx(invalid_path)
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truncate_jsonpath = extract_tables_main(truncate0_docpath, output_folder) # 投标人须知前附表docx->json
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truncate0 = truncate_files[0]
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truncate1 = truncate_files[1]
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truncate2=truncate_files[2]
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truncate3 = truncate_files[3]
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merged_baseinfo_path=truncate_files[-1]
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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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# 返回包含预处理后文件路径的字典
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return {
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'file_path': downloaded_file_path,
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'output_folder': output_folder,
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'invalid_path':invalid_path,
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'truncate0': truncate0,
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'truncate1': truncate1,
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'truncate2':truncate2,
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'truncate3': truncate3,
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'truncate0_jsonpath': truncate_jsonpath,
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'merged_baseinfo_path':merged_baseinfo_path,
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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(merged_baseinfo_path, truncate0, truncate2, 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 = combine_basic_info(merged_baseinfo_path, truncate0, truncate2, 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,output_folder, truncate0_jsonpath, clause_path,invalid_path,merged_baseinfo_path):
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logger.info("starting资格审查...")
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review_standards_res = combine_review_standards(truncate1, truncate3,output_folder, truncate0_jsonpath,
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clause_path,invalid_path,merged_baseinfo_path)
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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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# 获取技术标和商务标
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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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logger.info("商务标和技术标 done")
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# 返回将 "技术标" 和 "商务标" 包含在新的键中
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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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# 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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logger.info("投标文件要求done...")
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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(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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logger.info("开评定标流程done...")
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return {"开评定标流程":fetch_bid_opening_json}
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#分段返回
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def engineering_bid_main(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)
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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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'base_info': executor.submit(fetch_project_basic_info, processed_data['merged_baseinfo_path'],
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processed_data['truncate0'],
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processed_data['truncate2'], 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'], output_folder,
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processed_data['truncate0_jsonpath'],
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processed_data['clause_path'], processed_data['invalid_path'],
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processed_data['merged_baseinfo_path']),
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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, 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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# 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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# 如果是 evaluation_standards，拆分技术标和商务标
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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 __name__ == "__main__":
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start_time = time.time()
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output_folder = "C:\\Users\\Administrator\\Desktop\\招标文件\\new_test1"
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file_type = 2 #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\\zbtest2.pdf"
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print("yes")
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for output in engineering_bid_main(output_folder, input_file, file_type, "zytest"):
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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} seconds.")
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