zbparse/flask_app/main/start_up.py

import logging
import re
import shutil
import time
import uuid
from datetime import datetime, timedelta
from flask import Flask, request, jsonify, Response, stream_with_context, g
import json
import os
from flask_app.main.download import download_file
from flask_app.main.招标文件解析 import engineering_bid_main
from flask_app.货物标.货物标解析main import goods_bid_main

app = Flask(__name__)


class CSTFormatter(logging.Formatter):
    """自定义的 Formatter，将日志的时间戳调整为中国标准时间（UTC+8）"""

    def formatTime(self, record, datefmt=None):
        ct = datetime.fromtimestamp(record.created) + timedelta(hours=8)
        if datefmt:
            s = ct.strftime(datefmt)
        else:
            try:
                s = ct.strftime("%Y-%m-%d %H:%M:%S")
                if self.usesTime():
                    s = f"{s},{record.msecs:03d}"
            except ValueError:
                s = ct.strftime("%Y-%m-%d %H:%M:%S")
        return s


@app.before_request
def before_request():
    # 每个请求开始前初始化 logger
    create_logger()  # 确保这个函数中设置了 g.logger


def create_logger():
    unique_id = str(uuid.uuid4())
    g.unique_id = unique_id
    output_folder = f"flask_app/static/output/{unique_id}"
    os.makedirs(output_folder, exist_ok=True)
    log_filename = "log.txt"
    log_path = os.path.join(output_folder, log_filename)
    logger = logging.getLogger(unique_id)
    if not logger.handlers:
        file_handler = logging.FileHandler(log_path)
        file_formatter = CSTFormatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
        file_handler.setFormatter(file_formatter)
        logger.addHandler(file_handler)
        stream_handler = logging.StreamHandler()
        stream_handler.setFormatter(logging.Formatter('%(message)s'))
        logger.addHandler(stream_handler)
        logger.setLevel(logging.INFO)
    g.logger = logger


# @app.route('/upload', methods=['POST'])
# def zbparse():
#     logger=g.logger
#     file_url = validate_request()
#     if isinstance(file_url, tuple):  # Check if the returned value is an error response
#         return file_url
#     try:
#         logger.info("starting parsing url:" + file_url)
#         final_json_path, output_folder= download_and_process_file(file_url)
#         if not final_json_path:
#             return jsonify({'error': 'File processing failed'}), 500
#         response = generate_response(final_json_path)  # 先获取响应内容
#         # remove_directory(output_folder)  # 然后删除文件夹
#         return response  # 最后返回获取的响应
#     except Exception as e:
#         logger.error('Exception occurred: ' + str(e))  # 使用全局 logger 记录
#         return jsonify({'error': str(e)}), 500

# def download_and_process_file(file_url):
#     logger = g.logger
#     unique_id = g.unique_id
#     output_folder = f"flask_app/static/output/{unique_id}"  # 直接使用全局 unique_id 构建路径
#     filename = "ztbfile"
#     downloaded_filename = os.path.join(output_folder, filename)
#
#     # 下载文件，假设 download_file 函数已正确处理异常并返回文件路径
#     downloaded_filepath, file_type = download_file(file_url, downloaded_filename)
#
#     if downloaded_filepath is None or file_type == 3:
#         logger.error("Unsupported file type or failed to download file")
#         return None, output_folder
#
#     logger.info("Local file path: " + downloaded_filepath)
#     processed_file_path = engineering_bid_main(output_folder, downloaded_filepath, file_type, unique_id)
#     return processed_file_path, output_folder

# def generate_response(final_json_path):
#     logger = g.logger
#     # 检查final_json_path是否为空或None
#     if not final_json_path:
#         logger.error('Empty or None path provided for final_json.')
#         return jsonify({'error': 'No path provided for final_json.'}), 400
#     if not os.path.exists(final_json_path):
#         logger.error('final_json not found at path: ' + final_json_path)
#         return jsonify({'error': 'final_json not found'}), 404
#     with open(final_json_path, 'r', encoding='utf-8') as f:
#         logger.info('final_json_path:' + final_json_path)
#         zbparse_data = json.load(f)
#         json_str = json.dumps(zbparse_data, ensure_ascii=False)
#     return jsonify({
#         'message': 'File uploaded and processed successfully',
#         'filename': os.path.basename(final_json_path),
#         'data': json_str
#     })

def validate_request(default_zb_type=1):
    if not request.is_json:
        return jsonify({'error': 'Missing JSON in request'}), 400
    file_url = request.json.get('file_url')
    zb_type = request.json.get('zb_type', default_zb_type)
    if not file_url:
        return jsonify({'error': 'No file URL provided'}), 400
    try:
        zb_type = int(zb_type)
    except (ValueError, TypeError):
        return jsonify({'error': 'Invalid zb_type provided'}), 400
    return file_url, zb_type

# 流式
@app.route('/upload', methods=['POST'])
def zbparse():
    logger = g.logger
    logger.info("start!!!")
    # 获取并显示接收到的 JSON 数据
    received_data = request.get_json()
    logger.info("Received JSON data: " + str(received_data))
    file_url,zb_type = validate_request()
    if isinstance(file_url, tuple):  # Check if the returned value is an error response
        return file_url
    try:
        logger.info("starting parsing url:" + file_url)
        return Response(stream_with_context(process_and_stream(file_url,zb_type)), content_type='text/event-stream')
    except Exception as e:
        logger.error('Exception occurred: ' + str(e))
        return jsonify({'error': str(e)}), 500

def post_processing(combined_data, includes):
    # 初始化结果字典，预设'其他'分类为空字典
    processed_data = {"其他": {}}

    # 初始化提取的信息字典
    extracted_info = {}

    # 定义一个辅助函数用于获取嵌套字典中的值
    def get_nested(dic, keys, default=None):
        for key in keys:
            if isinstance(dic, dict):
                dic = dic.get(key, default)
            else:
                return default
        return dic

    # 定义一个辅助函数用于递归查找包含特定子字符串的键
    def find_keys_containing(dic, substring):
        found_values = []
        if isinstance(dic, dict):
            for key, value in dic.items():
                if substring in key:
                    found_values.append(value)
                if isinstance(value, dict):
                    found_values.extend(find_keys_containing(value, substring))
                elif isinstance(value, list):
                    for item in value:
                        if isinstance(item, dict):
                            found_values.extend(find_keys_containing(item, substring))
        return found_values

    # 定义一个辅助函数用于根据候选键列表提取值（部分匹配）
    def extract_field(contact_info, candidate_keys):
        for candidate in candidate_keys:
            for key, value in contact_info.items():
                if candidate in key and value not in ["未知", ""]:
                    return value
        return ""

    # 定义一个辅助函数用于提取 '投标保证金'
    def extract_bid_bond(guarantee_info):
        # 定义投标保证金的候选键
        bid_bond_candidates = ["投标保证金", "磋商保证金"]

        # 第一步：查找包含 "投标保证金" 或 "磋商保证金" 的键
        for candidate in bid_bond_candidates:
            for key, value in guarantee_info.items():
                if candidate in key:
                    if isinstance(value, dict):
                        # 在嵌套字典中查找包含 "金额" 的键
                        for sub_key, sub_value in value.items():
                            if "金额" in sub_key and sub_value not in ["未知", ""]:
                                return sub_value
                    elif isinstance(value, str):
                        if "金额" in key and value not in ["未知", ""]:
                            return value
                    else:
                        # 如果 value 既不是 dict 也不是 str，忽略
                        continue

        # 第二步：如果没有找到包含 "金额" 的键，尝试在所有键值中查找符合模式的值
        amount_pattern = re.compile(r'(?:\d{1,3}(?:[,，]\d{3})*(?:\.\d+)?|\d+(?:\.\d+)?|[\u4e00-\u9fff]+(?:\.\d+)?)\s*(?:元|万元)')
        for key, value in guarantee_info.items():
            if isinstance(value, str):
                match = amount_pattern.search(value)
                if match:
                    return match.group()
            elif isinstance(value, dict):
                # 递归查找嵌套字典中的金额
                found_amount = extract_bid_bond(value)
                if found_amount:
                    return found_amount
        # 如果都没有找到，则返回空字符串
        return ""

    # 如果 '基础信息' 在 includes 中，则进行字段提取
    if "基础信息" in includes:
        base_info = combined_data.get("基础信息", {})

        # 定义所需字段的映射关系，暂时不包含'联系人'和'联系电话'以及'招标项目地点'
        mapping = {
            "招标项目名称": [["项目信息", "项目名称"], ["项目信息", "工程名称"]],
            "招标项目编号": [["项目信息", "项目编号"], ["项目信息", "招标编号"]],
            "开标时间": [["关键时间/内容", "开标时间"]],
            "报名截止日期": [["关键时间/内容", "投标文件递交截止日期"]],
            "招标项目预算": [["项目信息", "招标控制价"]],
            "招标单位名称": [["招标人/代理信息", "招标人"]],
            "招标公告地址": [["关键时间/内容", "信息公示媒介"], ["关键时间/内容", "评标结果公示媒介"]]
        }

        # 提取并映射字段
        for new_key, paths in mapping.items():
            value = None
            for path in paths:
                value = get_nested(base_info, path)
                if value:
                    break
            extracted_info[new_key] = value if value else ""

        # 特殊处理 '招标项目地点'
        # 在 '项目信息' 下查找包含 "地点" 的键
        project_info = base_info.get("项目信息", {})
        location_candidates = find_keys_containing(project_info, "地点")
        if location_candidates:
            # 选择第一个找到的地点
            extracted_info["招标项目地点"] = location_candidates[0]
        else:
            extracted_info["招标项目地点"] = ""

        # 特殊处理 '联系人' 和 '联系电话'
        # 提取 '项目联系方式'
        project_contact = get_nested(base_info, ["招标人/代理信息", "项目联系方式"], {})

        # 提取 '招标人联系方式'
        bidder_contact = get_nested(base_info, ["招标人/代理信息", "招标人联系方式"], {})

        # 定义候选键列表，按优先级排序
        name_candidates = ["名称", "联系人", "招标"]
        phone_candidates = ["电话", "手机", "联系方式"]

        # 提取 '联系人'
        contact_names = [project_contact, bidder_contact]
        contact_name = ""
        for contact in contact_names:
            extracted_name = extract_field(contact, name_candidates)
            if extracted_name:
                contact_name = extracted_name
                break
        extracted_info["联系人"] = contact_name

        # 提取 '联系电话'
        contact_phones = [project_contact, bidder_contact]
        contact_phone = ""
        for contact in contact_phones:
            extracted_phone = extract_field(contact, phone_candidates)
            if extracted_phone:
                contact_phone = extracted_phone
                break
        extracted_info["联系电话"] = contact_phone

        # 特殊处理 '投标保证金'
        # 提取 '保证金相关'
        guarantee_info = get_nested(base_info, ["保证金相关"], {})
        extracted_info["投标保证金"] = extract_bid_bond(guarantee_info)

    # 遍历原始字典的每一个键值对
    for key, value in combined_data.items():
        if key in includes:
            if key == "基础信息":
                # 已经处理 '基础信息'，保留在处理后的数据中
                processed_data[key] = value
            else:
                # 直接保留包含在 includes 列表中的键值对
                processed_data[key] = value
        else:
            # 将不在 includes 列表中的键值对加入到 '其他' 分类中
            processed_data["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 processed_data["其他"]:
        del processed_data["其他"]

    return processed_data, extracted_info

# 分段返回
def process_and_stream(file_url, zb_type):
    """
    下载文件并进行处理，支持工程标和货物标的处理。

    参数：
    - file_url (str): 文件的URL地址。
    - zb_type (int): 标的类型，1表示工程标，2表示货物标。

    返回：
    - generator: 生成处理过程中的流式响应。
    """
    logger = g.logger
    unique_id = g.unique_id
    output_folder = f"flask_app/static/output/{unique_id}"
    filename = "ztbfile"
    downloaded_filename = os.path.join(output_folder, filename)

    start_time = time.time()  # 记录开始时间

    try:
        # 下载文件
        downloaded = download_file(file_url, downloaded_filename)
        if not downloaded:
            logger.error("下载文件失败或不支持的文件类型")
            error_response = {
                'message': 'File processing failed',
                'filename': None,
                'data': json.dumps({'error': 'File processing failed'})
            }
            yield f"data: {json.dumps(error_response)}\n\n"
            return

        downloaded_filepath, file_type = downloaded

        # 检查文件类型
        if file_type == 4:
            logger.error("不支持的文件类型")
            error_response = {
                'message': 'Unsupported file type',
                'filename': None,
                'data': json.dumps({'error': 'Unsupported file type'})
            }
            yield f"data: {json.dumps(error_response)}\n\n"
            return

        logger.info("本地文件路径: " + downloaded_filepath)

        combined_data = {}

        # 根据zb_type选择调用的处理函数
        processing_functions = {
            1: engineering_bid_main,
            2: goods_bid_main
        }
        processing_func = processing_functions.get(zb_type, engineering_bid_main)

        # 从 processing_func 获取数据
        for data in processing_func(output_folder, downloaded_filepath, file_type, unique_id):
            if not data.strip():
                logger.error("Received empty data, skipping JSON parsing.")
                continue  # Skip processing empty data

            try:
                parsed_data = json.loads(data)
            except json.JSONDecodeError as e:
                logger.error(f"Failed to decode JSON: {e}")
                logger.error(f"Data received: {data}")
                continue  # Skip data if JSON parsing fails

            # 遍历 parsed_data 只提取内层内容进行合并
            for outer_key, inner_dict in parsed_data.items():
                if isinstance(inner_dict, dict):
                    combined_data.update(inner_dict)
                    # 日志记录已合并数据

            # 每次数据更新后，流式返回当前进度
            response = {
                'message': 'Processing',
                'filename': os.path.basename(downloaded_filepath),
                'data': data
            }
            yield f"data: {json.dumps(response, ensure_ascii=False)}\n\n"

        # 日志记录已合并数据
        logger.info(f"合并后的数据: {json.dumps(combined_data, ensure_ascii=False, indent=4)}")

        # **保存 combined_data 到 output_folder 下的 'final_result.json'**
        output_json_path = os.path.join(output_folder, 'final_result.json')
        includes = ["基础信息", "资格审查", "商务评分", "技术评分", "无效标与废标项", "投标文件要求", "开评定标流程"]
        final_result, extracted_info = post_processing(combined_data, includes)

        try:
            with open(output_json_path, 'w', encoding='utf-8') as json_file:
                json.dump(final_result, json_file, ensure_ascii=False, indent=4)
            logger.info(f"合并后的数据已保存到 '{output_json_path}'")
        except IOError as e:
            logger.error(f"保存JSON文件时出错: {e}")

        extracted_info_response = {
            'message': 'extracted_info',
            'filename': os.path.basename(downloaded_filepath),
            'data': json.dumps(extracted_info, ensure_ascii=False)
        }
        yield f"data: {json.dumps(extracted_info_response, ensure_ascii=False)}\n\n"

        # 最后发送合并后的完整数据
        complete_response = {
            'message': 'Combined_data',
            'filename': os.path.basename(downloaded_filepath),
            'data': json.dumps(final_result, ensure_ascii=False)
        }
        yield f"data: {json.dumps(complete_response, ensure_ascii=False)}\n\n"

        # 发送最终响应
        final_response = {
            'message': 'File uploaded and processed successfully',
            'filename': os.path.basename(downloaded_filepath),
            'data': 'END'
        }
        yield f"data: {json.dumps(final_response)}\n\n"

    finally:
        end_time = time.time()  # 记录结束时间
        duration = end_time - start_time
        logger.info(f"Total processing time: {duration:.2f} seconds")


@app.route('/api/test_zbparse', methods=['POST'])
def test_zbparse():
    try:
        return Response(stream_with_context(test_process_and_stream()), content_type='text/event-stream')
    except Exception as e:
        app.logger.error('Exception occurred: ' + str(e))
        return jsonify({'error': str(e)}), 500


def test_process_and_stream():
    # 模拟七段数据，每段包含指定的中文键名和更多详细数据
    data_segments = [
        {
            "base_info": {
                "基础信息": {
                    "project_name": "测试项目1",
                    "project_code": "TP001",
                    "project_manager": "张三",
                    "start_date": "2024-01-10",
                    "end_date": "2024-12-31"
                }
            }
        },
        {
            "qualification_review": {
                "资格审查": {
                    "review_criteria": ["公司资质", "过往业绩", "财务报表"],
                    "required_documents": ["营业执照", "资质证书", "近三年财务报告"],
                    "minimum_requirements": {
                        "company_age": "至少5年",
                        "past_projects": "至少3个大型项目"
                    }
                }
            }
        },
        {
            "technical_standards": {
                "技术标": {
                    "technical_requirements": ["设备质量要求", "施工工艺", "安全标准"],
                    "materials_list": ["钢筋", "水泥", "电缆"],
                    "equipment_specs": {
                        "excavator": "型号X123",
                        "concrete_mixer": "型号Y456"
                    }
                }
            }
        },
        {
            "commercial_standards": {
                "商务标": {
                    "pricing_method": "固定总价",
                    "payment_schedule": ["30%合同签订", "40%中期支付", "30%项目完成支付"],
                    "contract_conditions": {
                        "warranty_period": "2年",
                        "penalty_clauses": "延期每周罚款5%"
                    }
                }
            }
        },
        {
            "invalid_requirements": {
                "无效标与废标项": {
                    "common_issues": ["未按要求提交保证金", "技术标不达标"],
                    "invalidation_reasons": {
                        "missing_documents": "缺少必要文件",
                        "unqualified_technical_specs": "技术规格不合要求"
                    }
                }
            }
        },
        {
            "bidding_documents_requirements": {
                "投标文件要求": {
                    "file_format": "PDF",
                    "submission_deadline": "2024-08-01 17:00",
                    "submission_location": "北京市某某大厦5楼",
                    "required_sections": ["公司简介", "技术方案", "商务报价"]
                }
            }
        },
        {
            "opening_bid": {
                "开评定标流程": {
                    "bid_opening_time": "2024-09-01 10:00",
                    "location": "会议室A",
                    "evaluation_criteria": ["价格", "技术能力", "项目经验"],
                    "evaluation_process": {
                        "first_round": "资格审查",
                        "second_round": "技术评分",
                        "final_round": "商务报价评定"
                    }
                }
            }
        }
    ]

    filename = "test_file.pdf"

    for i, data in enumerate(data_segments, 1):
        response = {
            'message': f'Processing segment {i}',
            'filename': filename,
            'data': data
        }
        yield f"data: {json.dumps(response, ensure_ascii=False)}\n\n"
        time.sleep(3)  # 每隔5秒发送一段数据

    # 在结束信号之前发送完整的数据
    combined_data = {}
    for segment in data_segments:
        for outer_key, inner_dict in segment.items():
            # 获取内层字典的第一个（也是唯一的）键值对
            inner_key, inner_value = next(iter(inner_dict.items()))
            combined_data[inner_key] = inner_value

    # 发送完整的大字典
    complete_response = {
        'message': 'Combined data',
        'filename': filename,
        'data': combined_data
    }
    yield f"data: {json.dumps(complete_response, ensure_ascii=False)}\n\n"

    # 发送结束信号
    final_response = {
        'message': 'File processed successfully',
        'filename': filename,
        'data': 'END'
    }
    yield f"data: {json.dumps(final_response, ensure_ascii=False)}\n\n"


# @app.route('/get_json', methods=['POST'])
# def testjson():
#     final_json_path="C:\\Users\\Administrator\\Desktop\\fsdownload\\temp4\\fd55f067-2cf6-475c-b7ce-4498f6606bf6\\final_result.json"
#     with open(final_json_path, 'r', encoding='utf-8') as f:
#         print('final_json_path:'+final_json_path)
#         zbparse_data = json.load(f)
#         json_str = json.dumps(zbparse_data, ensure_ascii=False)
#         print(json_str)
#     return jsonify({
#         'message': 'File uploaded and processed successfully',
#         'filename': os.path.basename(final_json_path),
#         'data': json_str
#     })


def remove_directory(path):
    logger = g.logger
    try:
        shutil.rmtree(path)
        logger.info(f"Successfully removed directory: {path}")  # 使用全局 logger 记录
    except Exception as e:
        logger.error(f"Failed to remove directory {path}: {str(e)}")  # 使用全局 logger 记录


if __name__ == '__main__':
    app.run(debug=True, host='0.0.0.0', port=5000)