zbparse/flask_app/routes/货物标解析main.py

# 竞磋 竞谈 磋商 询价 邀请 单一来源
import json
import time

from docx import Document

from flask_app.general.format_change import docx2pdf, pdf2docx,doc2docx
from flask_app.general.insert_del_pagemark import insert_mark, delete_mark
from flask_app.general.json_utils import transform_json_values
from flask_app.general.通用功能函数 import get_global_logger
from flask_app.货物标.基础信息解析货物标版 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.general.截取pdf_main import truncate_pdf_multiple
from concurrent.futures import ThreadPoolExecutor
import concurrent.futures
from flask_app.货物标.提取json货物标版 import convert_clause_to_json
from flask_app.general.无效标和废标公共代码 import combine_find_invalid
from flask_app.货物标.资格审查main import combine_qualification_review
from flask_app.general.商务技术评分提取 import combine_evaluation_standards

# 创建全局线程池
executor = ThreadPoolExecutor()

def preprocess_files(output_folder, file_path, file_type,logger):
    logger.info("starting 文件预处理...")
    start_time = time.time()
    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(file_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)
    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

    # 调用截取PDF多次
    truncate_files = truncate_pdf_multiple(pdf_path, output_folder,logger,'goods')  # 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_path=truncate_files[6] if truncate_files[6] != "" else pdf_path    #无效标

    invalid_added_pdf = insert_mark(invalid_path)
    invalid_added_docx = pdf2docx(invalid_added_pdf)  # 有标记的invalid_path
    try:
        # 尝试加载 .docx 文件
        doc = Document(invalid_added_docx)
        print("yes")
    except Exception as e:
        # 捕获异常并打印错误信息
        invalid_added_docx=pdf2docx(pdf_path)
    invalid_deleted_docx = delete_mark(invalid_added_docx)  # 无标记的invalid_path

    # invalid_docpath = invalid_added_docx  # docx截取无效标部分
    procurement_path = truncate_files[5]  # 采购需求
    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[0]      #招标公告
    merged_baseinfo_path = truncate_files[7]  # 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

    end_time = time.time()
    logger.info(f"文件预处理 done，耗时：{end_time - start_time:.2f} 秒")

    # 提前返回，不等待 future_knowledge 完成，返回包含 Future 对象
    return {
        'invalid_deleted_docx': invalid_deleted_docx,
        'invalid_added_docx': invalid_added_docx,
        'output_folder': output_folder,
        'procurement_path': procurement_path,
        'evaluation_method_path': evaluation_method_path,
        'qualification_path': qualification_path,
        'notice_path': notice_path,
        'clause_path': clause_path,
        'merged_baseinfo_path': merged_baseinfo_path
    }

def fetch_project_basic_info(invalid_deleted_docx, merged_baseinfo_path, procurement_path, clause_path, logger):
    logger.info("starting 基础信息...")
    start_time = time.time()
    try:
        if not merged_baseinfo_path:
            merged_baseinfo_path = invalid_deleted_docx
        if not procurement_path:
            procurement_path = invalid_deleted_docx
        basic_res = combine_basic_info(merged_baseinfo_path, procurement_path, clause_path, invalid_deleted_docx)
        base_info, good_list = post_process_baseinfo(basic_res, logger)
        result = base_info, good_list
        end_time = time.time()
        logger.info(f"基础信息 done，耗时：{end_time - start_time:.2f} 秒")
    except Exception as exc:
        logger.error(f"Error in 基础信息: {exc}")
        # 返回默认值
        result = {"基础信息": {}}, []
    return result


def fetch_qualification_review(invalid_deleted_docx, qualification_path, notice_path, logger):
    logger.info("starting 资格审查...")
    start_time = time.time()
    try:
        if not notice_path:
            notice_path=invalid_deleted_docx
        review_standards_res = combine_qualification_review(invalid_deleted_docx, qualification_path, notice_path)
        result = review_standards_res
        end_time = time.time()
        logger.info(f"资格审查 done，耗时：{end_time - start_time:.2f} 秒")
    except Exception as exc:
        logger.error(f"Error in 资格审查: {exc}")
        # 返回默认值
        result = {"资格审查": {}}
    return result

def fetch_evaluation_standards(invalid_deleted_docx, evaluation_method_path,logger):
    logger.info("starting 商务评分和技术评分...")
    start_time = time.time()
    if not evaluation_method_path:
        evaluation_method_path = invalid_deleted_docx
    evaluation_standards_res = combine_evaluation_standards(evaluation_method_path,invalid_deleted_docx,2)
    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"商务评分和技术评分 done，耗时：{end_time - start_time:.2f} 秒")
    return {
        "technical_standards": technical_standards,
        "commercial_standards": commercial_standards
    }

def fetch_invalid_requirements(invalid_added_docx, output_folder, logger):
    logger.info("starting 无效标与废标...")
    start_time = time.time()
    try:
        find_invalid_res = combine_find_invalid(invalid_added_docx, output_folder)
        result = find_invalid_res
        end_time = time.time()
        logger.info(f"无效标与废标 done，耗时：{end_time - start_time:.2f} 秒")
    except Exception as exc:
        logger.error(f"Error in 无效标与废标: {exc}")
        # 返回默认值
        result = {"无效标与废标": {}}
    return result

def fetch_bidding_documents_requirements(invalid_deleted_docx, merged_baseinfo_path, clause_path, logger):
    logger.info("starting 投标文件要求...")
    if not merged_baseinfo_path:
        merged_baseinfo_path = invalid_deleted_docx
    start_time = time.time()
    selection = 1
    try:
        fetch_bidding_documents_requirements_json = extract_from_notice(merged_baseinfo_path, clause_path, selection)
        result = {"投标文件要求": fetch_bidding_documents_requirements_json}
        end_time = time.time()
        logger.info(f"投标文件要求 done，耗时：{end_time - start_time:.2f} 秒")
    except Exception as exc:
        logger.error(f"Error in 投标文件要求: {exc}")
        # 返回默认值，假设默认值为一个空字典
        result = {"投标文件要求": {}}
    return result


# 开评定标流程
def fetch_bid_opening(invalid_deleted_docx, merged_baseinfo_path, clause_path, logger):
    logger.info("starting 开评定标流程...")
    if not merged_baseinfo_path:
        merged_baseinfo_path = invalid_deleted_docx
    start_time = time.time()
    selection = 2
    try:
        fetch_bid_opening_json = extract_from_notice(merged_baseinfo_path, clause_path, selection)
        result = {"开评定标流程": fetch_bid_opening_json}
        end_time = time.time()
        logger.info(f"开评定标流程 done，耗时：{end_time - start_time:.2f} 秒")
    except Exception as exc:
        logger.error(f"Error in 开评定标流程: {exc}")
        # 返回默认值，假设默认值为一个空字典
        result = {"开评定标流程": {}}
    return result


def post_process_baseinfo(base_info,logger):
    """
    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", {})
        # 提取 '货物列表' 并删除
        procurement_reqs = pure_base_info.get('采购要求', {})
        technical_requirements = procurement_reqs.get('采购需求', {})
        good_list = technical_requirements.pop('货物列表', [])  # 如果不存在，返回 []

        # 更新基础信息（删除 '货物列表' 后的结果）
        base_info['基础信息'] = pure_base_info
        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

#TODO:错误处理，通过返回值completion来错误处理，而不是正则表达   学习装饰器、 整体后处理
def goods_bid_main(output_folder, file_path, file_type, unique_id):
    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,logger)
    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['invalid_deleted_docx'],
                                                    processed_data['evaluation_method_path'],logger),
            'invalid_requirements': executor.submit(fetch_invalid_requirements, processed_data['invalid_added_docx'],
                                                    output_folder,logger),
            'bidding_documents_requirements': executor.submit(fetch_bidding_documents_requirements,processed_data['invalid_deleted_docx'],processed_data['merged_baseinfo_path'],
                                                              processed_data['clause_path'],logger),
            'opening_bid': executor.submit(fetch_bid_opening, processed_data['invalid_deleted_docx'],processed_data['merged_baseinfo_path'],processed_data['clause_path'],logger),
            'base_info': executor.submit(fetch_project_basic_info, processed_data['invalid_deleted_docx'],processed_data['merged_baseinfo_path'],
                                         processed_data['procurement_path'],processed_data['clause_path'],logger),
            'qualification_review': executor.submit(fetch_qualification_review, processed_data['invalid_deleted_docx'],
                                                    processed_data['qualification_path'],
                                                    processed_data['notice_path'],logger),
        }

        # 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
                elif 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}")
                if key == 'evaluation_standards':
                    # 返回默认的商务评分和技术评分
                    default_evaluation = {
                        'technical_standards': {"技术评分": ""},
                        'commercial_standards': {"商务评分": ""}
                    }
                    yield json.dumps(default_evaluation, ensure_ascii=False)
                # 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:把所有未知都删掉。
#TODO:考虑把解析失败的调用豆包，全文上传。

#TODO:重置一下投标文件格式提取那部分的代码
#TODO:小解析考虑提速：1：直接pdf转文本，再切分。后期考虑。

#TODO: ec7d5328-9c57-450f-baf4-2e5a6f90ed1d

#TODO:1.先截取合同、投标文件格式之前的页码 即 invalid 如果页码小于50页，那么剩下的不切了直接仍。
#   2.废标项这边，考虑大模型+正则并用
#   3.限制评分项的因素。

#TODO:评分、开评定标这边也加上超长逻辑


if __name__ == "__main__":
    # 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.")