zbparse/flask_app/main/工程标解析main.py

# -*- encoding:utf-8 -*-
import json
import logging
import os
import time
from concurrent.futures import ThreadPoolExecutor

from flask_app.general.投标人须知正文提取指定内容 import get_requirements_with_gpt
from flask_app.main.截取pdf import truncate_pdf_multiple
from flask_app.general.merge_pdfs import merge_pdfs
from flask_app.main.table_content_extraction import extract_tables_main
from flask_app.main.提取json工程标版 import convert_clause_to_json
from flask_app.general.json_utils import transform_json_values
from flask_app.general.无效标和废标公共代码 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
from flask_app.general.通义千问long import upload_file,qianwen_long
from flask_app.general.json_utils import clean_json_string

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)
    start_time=time.time()
    # 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
    tobidders_notice_table=truncate_files[0]
    # tobidders_notice_table_docx = pdf2docx(tobidders_notice_table)  # 投标人须知前附表转docx
    # truncate_jsonpath = extract_tables_main(tobidders_notice_table_docx, output_folder)  # 投标人须知前附表docx->json

    tobidders_notice = truncate_files[1]      #投标人须知正文

    evaluation_method = truncate_files[2]           #评标方法

    qualification = truncate_files[3]       #资格审查

    invalid_path=truncate_files[5]
    # invalid_docpath = copy_docx(docx_path)  # docx截取无效标部分
    invalid_docpath=pdf2docx(invalid_path)


    merged_baseinfo_path=truncate_files[-1]
    more_path=[merged_baseinfo_path,tobidders_notice]
    merged_baseinfo_path_more=os.path.join(output_folder,"merged_baseinfo_path_more.pdf")
    merge_pdfs(more_path,merged_baseinfo_path_more)
    clause_path = convert_clause_to_json(tobidders_notice, output_folder)  # 投标人须知正文条款pdf->json
    end_time=time.time()
    logger.info(f"文件预处理 done，耗时：{end_time - start_time:.2f} 秒")

    # 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,
        'tobidders_notice_table': tobidders_notice_table,
        'tobidders_notice': tobidders_notice,
        'evaluation_method':evaluation_method,
        'qualification': qualification,
        'merged_baseinfo_path':merged_baseinfo_path,
        'merged_baseinfo_path_more':merged_baseinfo_path_more,
        'clause_path': clause_path,
        'invalid_docpath': invalid_docpath
    }
# 基本信息

def fetch_project_basic_info(invalid_path, merged_baseinfo_path, merged_baseinfo_path_more,tobidders_notice, clause_path):
    logger.info("starting 基础信息...")
    start_time = time.time()
    if not merged_baseinfo_path:
        merged_baseinfo_path = invalid_path
    if not merged_baseinfo_path_more:
        merged_baseinfo_path_more=invalid_path
    if not tobidders_notice:
        tobidders_notice = invalid_path
    basic_res = combine_basic_info(merged_baseinfo_path,merged_baseinfo_path_more,tobidders_notice, clause_path)
    end_time = time.time()
    logger.info(f"基础信息 done，耗时：{end_time - start_time:.2f} 秒")
    return basic_res


# 形式、响应、资格评审
def fetch_qualification_review(evaluation_method, qualification, output_folder, tobidders_notice_table, clause_path, invalid_path, merged_baseinfo_path):
    logger.info("starting 资格审查...")
    start_time = time.time()
    if not evaluation_method:
        evaluation_method = invalid_path
    if not merged_baseinfo_path:
        merged_baseinfo_path = invalid_path
    review_standards_res = combine_review_standards(evaluation_method, qualification, output_folder, tobidders_notice_table, clause_path, invalid_path, merged_baseinfo_path)
    end_time = time.time()
    logger.info(f"资格审查 done，耗时：{end_time - start_time:.2f} 秒")
    return review_standards_res


# 评分细则 流式
def fetch_evaluation_standards(invalid_path, evaluation_method):
    logger.info("starting 商务标和技术标...")
    start_time = time.time()
    if not evaluation_method:
        evaluation_method = invalid_path
    evaluation_standards_res = combine_evaluation_standards(evaluation_method)
    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", {})}
    end_time = time.time()
    logger.info(f"商务标和技术标 done，耗时：{end_time - start_time:.2f} 秒")
    return {
        "technical_standards": technical_standards,
        "commercial_standards": commercial_standards
    }


# 无效、废标项解析
def fetch_invalid_requirements(invalid_docpath, output_folder):
    logger.info("starting 无效标与废标...")
    start_time = time.time()
    find_invalid_res = combine_find_invalid(invalid_docpath, output_folder)
    end_time = time.time()
    logger.info(f"无效标与废标 done，耗时：{end_time - start_time:.2f} 秒")
    return find_invalid_res


# 投标文件要求
def fetch_bidding_documents_requirements(invalid_path, merged_baseinfo_path_more,clause_path):
    logger.info("starting 投标文件要求...")
    start_time = time.time()
    if not merged_baseinfo_path_more:
        merged_baseinfo_path_more=invalid_path
    selection = 1
    fetch_bidding_documents_requirements_json = extract_from_notice(merged_baseinfo_path_more, clause_path, selection)
    end_time = time.time()
    logger.info(f"投标文件要求 done，耗时：{end_time - start_time:.2f} 秒")
    return {"投标文件要求": fetch_bidding_documents_requirements_json}

# 开评定标流程
def fetch_bid_opening(invalid_path, merged_baseinfo_path_more,clause_path):
    logger.info("starting 开评定标流程...")
    start_time = time.time()
    if not merged_baseinfo_path_more:
        merged_baseinfo_path_more=invalid_path
    selection = 2
    fetch_bid_opening_json = extract_from_notice(merged_baseinfo_path_more, clause_path, selection)
    end_time = time.time()
    logger.info(f"开评定标流程 done，耗时：{end_time - start_time:.2f} 秒")
    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,unique_id)
    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['invalid_path'] ,processed_data['merged_baseinfo_path'],processed_data['merged_baseinfo_path_more'],
                                         processed_data['tobidders_notice'], processed_data['clause_path']),
            'qualification_review': executor.submit(fetch_qualification_review, processed_data['evaluation_method'],
                                                    processed_data['qualification'], output_folder,
                                                    processed_data['tobidders_notice_table'],
                                                    processed_data['clause_path'], processed_data['invalid_path'],
                                                    processed_data['merged_baseinfo_path']),
            'evaluation_standards': executor.submit(fetch_evaluation_standards, processed_data['invalid_path'],processed_data['evaluation_method']),
            'invalid_requirements': executor.submit(fetch_invalid_requirements, processed_data['invalid_docpath'],output_folder),
            'bidding_documents_requirements': executor.submit(fetch_bidding_documents_requirements,processed_data['invalid_path'], processed_data['merged_baseinfo_path_more'],processed_data['clause_path']),
            'opening_bid': executor.submit(fetch_bid_opening,processed_data['invalid_path'],processed_data['merged_baseinfo_path_more'], 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)

#TODO:废标项，针对新文件作优化，统一成货物标的处理逻辑
#TODO:基本信息，判断是否这里，打勾逻辑取消了。
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)
    preprocess_files(output_folder,input_file,2,"121")
    end_time = time.time()
    elapsed_time = end_time - start_time  # 计算耗时
    print(f"Function execution took {elapsed_time} seconds.")