zbparse/flask_app/old_version/解析old_old.py

# -*- encoding:utf-8 -*-
import json
import logging
import time
from concurrent.futures import ThreadPoolExecutor
from flask_app.工程标.截取pdf工程标版 import truncate_pdf_multiple
from flask_app.general.table_content_extraction import extract_tables_main
from flask_app.old_version.提取json工程标版_old import convert_clause_to_json
from flask_app.general.json_utils import transform_json_values
from flask_app.工程标.无效标和废标和禁止投标整合 import combine_find_invalid
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
import concurrent.futures
from flask_app.工程标.基础信息整合工程标 import combine_basic_info
from flask_app.工程标.资格审查模块main import combine_review_standards
from flask_app.old_version.商务评分技术评分整合old_version 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.")