导出excel

# Conflicts:
#	main.py

Dockerfile

@@ -0,0 +1,9 @@
+FROM docker.m.daocloud.io/python:3.12-slim
+WORKDIR /app
+COPY . /app
+ENV TZ=Asia/Shanghai \
+    LANG=C.UTF-8
+RUN rm -rf  logs .git .idea .venv && apt-get update && apt-get install -y pandoc vim curl sqlite3 && pip install -r requirements.txt -i https://mirrors.aliyun.com/pypi/simple/
+RUN mkdir -p /app/uploads &&  mkdir -p /app/zip
+EXPOSE 3006
+CMD ["python", "main.py"]

db/sql_db.py

@@ -0,0 +1,62 @@
+from sqlalchemy import Column, DateTime, Integer, BigInteger, String, create_engine, Boolean, Text
+from sqlalchemy.orm import declarative_base, sessionmaker
+# 申明基类对象
+Base = declarative_base()
+from decouple import config
+
+# DB_PATH = config('DB_PATH', default='E://pyptoject//yj_resume//main.sqlite3')
+DB_PATH = config('DB_PATH', default='D://PycharmProject//yj_resume//main.sqlite3')
+
+class DBTASK(Base):
+    __tablename__ = 'db_task'
+    id = Column(String(100), primary_key=True)
+    name = Column(String(100), nullable=False)
+    create_time = Column(DateTime, nullable=False, )
+    task_type = Column(String(20), nullable=False, )
+    # 0 代表待执行，1 成功，2 失败
+    status = Column(Integer, nullable=False, default=0)
+    success_num = Column(Integer, nullable=False, default=0)
+    total_num = Column(Integer, nullable=False, default=0)
+    fail_num = Column(Integer, nullable=False, default=0)
+    message = Column(Text, nullable=True)
+
+
+class DBRESUME(Base):
+    __tablename__ = 'db_resume'
+    id = Column(String(100), primary_key=True)
+    # 每个任务对应一个文件夹ID
+    task_id = Column(String(100), nullable=False)
+    # 0 代表待执行，1 成功，2 失败
+    status = Column(Integer, nullable=False, default=0)
+    file_name = Column(String(100), nullable=True)
+    # 可以用json表示提取的数据
+    data_info = Column(Text, nullable=True)
+    # 错误信息等
+    message = Column(Text, nullable=True)
+
+class DBEXCEL(Base):
+    __tablename__ = 'db_excel'
+    # 每个任务对应一个文件夹ID
+    id = Column(String(100), primary_key=True)
+    # 0 代表待执行，1 成功，2 失败
+    status = Column(Integer, nullable=False, default=0)
+    file_name = Column(String(100), nullable=True)
+    # 可以用json表示提取的数据
+    excel_info = Column(Text, nullable=True)
+    # 错误信息等
+    message = Column(Text, nullable=True)
+
+
+
+class SqliteSqlalchemy(object):
+    def __init__(self):
+        # 创建sqlite连接引擎
+        engine = create_engine(f'sqlite:///{DB_PATH}', echo=True)
+        # 创建表
+        Base.metadata.create_all(engine, checkfirst=True)
+        # 创建sqlite的session连接对象
+        self.session = sessionmaker(bind=engine)()
+
+
+
+

logging_config.py

@@ -0,0 +1,62 @@
+# logging_config.py
+import logging
+import logging.config
+from pathlib import Path
+
+# 确保 logs 目录存在
+log_dir = Path("logs")
+log_dir.mkdir(exist_ok=True)
+
+LOGGING_CONFIG = {
+    "version": 1,
+    "disable_existing_loggers": False,
+    "formatters": {
+        "default": {
+            "format": "%(asctime)s - %(name)s - %(levelname)s - %(filename)s:%(lineno)d - %(message)s",
+        },
+        "detailed": {
+            "format": "%(asctime)s - %(name)s - %(levelname)s - %(funcName)s - %(message)s",
+        }
+    },
+    "handlers": {
+        "console": {
+            "class": "logging.StreamHandler",
+            "level": "INFO",
+            "formatter": "default",
+            "stream": "ext://sys.stdout"
+        },
+        "file": {
+            "class": "logging.handlers.RotatingFileHandler",  # 自动轮转
+            "level": "INFO",
+            "formatter": "detailed",
+            "filename": "logs/resume.log",
+            "maxBytes": 10485760,  # 10MB
+            "backupCount": 5,      # 保留5个备份
+            "encoding": "utf8"
+        },
+    },
+    "root": {
+        "level": "INFO",
+        "handlers": ["console", "file"]
+    },
+    "loggers": {
+        "uvicorn": {
+            "level": "INFO",
+            "handlers": ["console", "file"],
+            "propagate": False
+        },
+        "uvicorn.error": {
+            "level": "INFO",
+            "handlers": ["console", "file"],
+            "propagate": False
+        },
+        "uvicorn.access": {
+            "level": "WARNING",  # 只记录警告以上，避免刷屏
+            "handlers": ["file"],  # 只写入文件
+            "propagate": False
+        }
+    }
+}
+
+# 应用配置
+logging.config.dictConfig(LOGGING_CONFIG)

main.py

@@ -1,14 +1,94 @@
 from fastapi import FastAPI
-import  uvicorn
+import uvicorn
+from fastapi import FastAPI, File, UploadFile, HTTPException
+from typing import List
+from service.file_service import download_format_words, check_and_create_directory, upload_and_format_file, \
+    upload_and_save_file, fetch_files, fetch_and_format_file
+from service import excel_service
+from service.db_service import get_task_list
+from fastapi.responses import FileResponse
+import threading
+from logging_config import LOGGING_CONFIG
+import logging
+import pandas as pd
+
+logger = logging.getLogger(__name__)
+
 app = FastAPI()
 
+import concurrent.futures
+
+executor = concurrent.futures.ThreadPoolExecutor(max_workers=20)
+
 
 @app.get("/api/v1/hw")
 def read_root():
     return {"Hello": "World"}
 
 
+# 上传文件并解析，解析是异步错误
+@app.post("/yj_resume/upload_files_and_parse")
+async def create_upload_files(files: List[UploadFile] = File(...)):
+    dir_id = check_and_create_directory(files, 'parse')
+    if not dir_id:
+        return {"result": False, "code": 500, "message": "create directory failed"}
+    flag, message = await upload_and_save_file(dir_id, files)
+    logger.info(f"flag is {flag}")
+    if flag:
+        # flag, message = await fetch_files(dir_id)
+        executor.submit(fetch_files, dir_id)
+    return {"result": flag, "message": message, "task_id": dir_id}
+
+
+@app.get("/yj_resume/export_task_data_to_excel")
+def export_task_data_to_excel(task_id: str):
+    path_xx = excel_service.export_task_data_to_excel(task_id)
+    if not path_xx:
+        raise HTTPException(status_code=404, detail="file not found")
+    return FileResponse(
+        path=path_xx,
+        media_type="application/octet-stream",  # 通用二进制流
+        filename=f"{task_id}.xlsx"  # 浏览器下载时使用的文件名
+    )
+
+
+@app.get("/yj_resume/parse_task_list")
+def parse_task_list():
+    data = get_task_list('parse')
+    return {"data": data, "code": 200, }
+
+
+@app.get("/yj_resume/format_task_list")
+def format_task_list():
+    data = get_task_list('format')
+    return {"data": data, "code": 200, }
+
+
+@app.post("/yj_resume/upload_files_and_format")
+async def create_upload_files(files: List[UploadFile] = File(...)):
+    dir_id = check_and_create_directory(files, 'format')
+    if not dir_id:
+        return {"result": False, "code": 500, "message": "create directory failed"}
+    flag, message = await upload_and_format_file(dir_id, files)
+    logger.info(f"flag is {flag}")
+    if flag:
+        # flag, message = await fetch_files(dir_id)
+        executor.submit(fetch_and_format_file, dir_id)
+    return {"result": flag, "message": message, "task_id": dir_id}
+
+
+@app.get("/yj_resume/download_format_words")
+def export_task_data_to_excel(task_id: str):
+    path_xx = download_format_words(task_id)
+    if not path_xx:
+        raise HTTPException(status_code=404, detail="file not found")
+    return FileResponse(
+        path=path_xx,
+        media_type="application/octet-stream",  # 通用二进制流
+        filename=f"{task_id}.zip"  # 浏览器下载时使用的文件名
+    )
 
 
 if __name__ == '__main__':
-    uvicorn.run(app, host="127.0.0.1", port=3006)
+    logger.info("start server")
+    uvicorn.run(app, host="0.0.0.0", port=3006)

requirements.txt

@@ -1,3 +1,13 @@
-python-docx== 0.8.11
+python-docx
 fastapi
-uvicorn
+uvicorn
+docxtpl
+SQLAlchemy
+python-decouple
+python-multipart
+pandas
+openpyxl
+python-multipart
+Pillow>=10.0.0
+numpy
+openpyxl

service/db_service.py

@@ -0,0 +1,19 @@
+from db.sql_db import DBTASK, DBRESUME, SqliteSqlalchemy
+
+
+def get_task_list(task_type):
+    task_list = SqliteSqlalchemy().session.query(DBTASK).filter(DBTASK.task_type == task_type).order_by(
+        DBTASK.create_time.desc()).all()
+    result = []
+    for task in task_list:
+        result.append({
+            "id": task.id,
+            "name": task.name,
+            "success_num": task.success_num,
+            "fail_num": task.fail_num,
+            "status": task.status,
+            "total_num": task.total_num,
+            "message": task.message,
+            "create_time": task.create_time.strftime("%Y-%m-%d %H:%M:%S") if task.create_time else None,
+        })
+    return result

service/excel_service.py

@@ -0,0 +1,35 @@
+from db.sql_db import DBTASK, DBRESUME, SqliteSqlalchemy
+import json
+import pandas as pd
+import pathlib
+from decouple import config
+
+# BASE_PATH = config('BASE_PATH', default='E://pyptoject//yj_resume//')
+BASE_PATH = config('BASE_PATH', default='D://PycharmProject//yj_resume//uploads//')
+
+
+# 导出数据到excel
+def export_to_excel(task_id):
+    # 获取所有成功的信息
+    list_data = SqliteSqlalchemy().session.query(DBRESUME).filter_by(task_id=task_id, status=1).all()
+    pd_data = []
+    for data in list_data:
+        pd_data.append(json.loads(data.data_info))
+    data_frame = pd.DataFrame(pd_data)
+    # 导出到excel
+    pathxx = pathlib.Path(BASE_PATH).joinpath(task_id)
+    pathxx = pathxx.joinpath(f"{task_id}.xlsx")
+    data_frame.to_excel(pathxx, index=False)
+
+
+def export_task_data_to_excel(task_id):
+    pathxx = pathlib.Path(BASE_PATH).joinpath(task_id)
+    pathxx = pathxx.joinpath(f"{task_id}.xlsx")
+    if pathxx.exists():
+        return pathxx
+    session = SqliteSqlalchemy().session
+    task = session.query(DBTASK).filter_by(id=task_id).first()
+    if not task or task.status == 0 or task.status == 2:
+        return None
+    export_to_excel(task_id)
+    return pathxx

service/file_service.py

@@ -0,0 +1,254 @@
+import json
+from sqlalchemy import update
+from db.sql_db import DBTASK, DBRESUME, SqliteSqlalchemy, DBEXCEL
+import uuid
+from datetime import datetime
+from decouple import config
+import pathlib
+from fastapi import File, UploadFile
+from typing import List
+import os
+import asyncio
+import logging
+from logging_config import LOGGING_CONFIG
+from service.format_template_resume import format_excel_to_words
+from service.parse_resume2_doc import extra_resume
+import pypandoc
+
+
+
+logger = logging.getLogger(__name__)
+# BASE_PATH = config('BASE_PATH', default='E://pyptoject//yj_resume//')
+# ZIP_PATH = config('ZIP_PATh', default='E://pyptoject//yj_resume//zip//')
+#
+BASE_PATH = config('BASE_PATH', default='D://PycharmProject//yj_resume//uploads//')
+ZIP_PATH = config('ZIP_PATh', default='D://PycharmProject//yj_resume//zip//')
+import pandas as pd
+import zipfile
+
+import os
+import subprocess
+import msvcrt
+import tempfile
+
+
+def convert_doc_to_docx_secure(input_file,out_put_dir):
+
+
+    # 环境配置
+    with tempfile.TemporaryDirectory() as tmpdir:
+        os.environ['TMP'] = tmpdir
+        os.environ['TEMP'] = tmpdir
+
+        # 构建命令
+        cmd = [
+            'soffice',
+            '--headless',
+            '--nologo',
+            '--nodefault',
+            '--norestore',
+            '--convert-to', 'docx',
+            '--outdir', out_put_dir,
+            input_file
+        ]
+
+        # 执行转换
+        try:
+            result = subprocess.run(
+                cmd,
+                capture_output=True,
+                text=True,
+                check=True,
+                timeout=30  # 设置超时防止卡死
+            )
+            return True
+        except subprocess.CalledProcessError as e:
+            print(f"深度错误信息：\nSTDOUT: {e.stdout}\nSTDERR: {e.stderr}")
+            return False
+
+
+
+
+def check_and_create_directory(files, task_type):
+    logger.info("check_and_create_directory in service")
+    # 先创建一个task
+    if not files or len(files) == 0:
+        logger.warning("check_and_create_directory is empty")
+        return None
+    id = str(uuid.uuid4())
+    current_time = datetime.now()
+    # 格式化时间为字符串
+    formatted_time = current_time.strftime("%Y-%m-%d-%H-%M-%S")
+    task = DBTASK(id=id, task_type=task_type, create_time=datetime.now(), status=0, success_num=0, total_num=len(files),
+                  fail_num=0, name=f"解析任务({formatted_time})")
+
+    session = SqliteSqlalchemy().session
+    try:
+        session.add(task)
+        session.commit()
+    except Exception as e:
+        print(f"Failed to save DBTASK info  error {e}")
+        session.rollback()
+        return None
+    finally:
+        session.close()
+    return id
+
+
+async def upload_and_save_file(dir_id, files: List[UploadFile]) -> (bool, str):
+    logger.info(f"upload_and_save_file in service dir_id {dir_id}")
+    pathxx = pathlib.Path(BASE_PATH).joinpath(dir_id)
+    pathxx.mkdir(parents=True, exist_ok=True)
+    data = []
+    for file in files:
+        name, fix = os.path.splitext(file.filename)
+        id = str(uuid.uuid4())
+        if fix not in ['.doc', '.docx']:
+            continue
+
+        with open(pathxx.joinpath(id + fix), 'wb') as f:
+            file_content = await file.read()
+            f.write(file_content)
+        if fix=='.doc':
+            convert_doc_to_docx_secure(str(pathxx.joinpath(id + fix)),str(pathxx))
+        data.append(DBRESUME(id=id, task_id=dir_id, status=0, file_name=id + '.docx'))
+    session = SqliteSqlalchemy().session
+    try:
+        session.bulk_save_objects(data)
+        session.commit()
+    except Exception as e:
+        print(f"Failed to save DBRESUME  error {e}")
+        session.rollback()
+        return False, f"Failed to save DBRESUME  error {e}"
+    finally:
+        session.close()
+    return True, "success"
+
+
+def fetch_files(dir_id) -> (bool, str):
+    logger.info(f"start fetching files task {dir_id} in service")
+    if not os.path.exists(BASE_PATH):
+        logger.info(f"目录{BASE_PATH}不存在")
+        return False, f"Failed to fetch file 目录{BASE_PATH}不存在"
+    file_extensions = ['.docx']
+    files_list = []
+    dir_path = pathlib.Path(BASE_PATH).joinpath(dir_id)
+    for root, dirs, files in os.walk(dir_path):
+        for file in files:
+            _, ext = os.path.splitext(file)
+            if file_extensions and ext not in file_extensions:
+                logger.error(f"文件{file}格式不符合预期")
+                continue
+            file_path = os.path.join(root, file)
+            if os.path.isfile(file_path):
+                files_list.append(file_path)
+            else:
+                logger.error(f"路径下{file_path}不是文件")
+    update_success_mapping = []
+    update_fail_mapping = []
+    for file in files_list:
+        logger.info(f"file is {file} {os.path.basename(file)}")
+        file_name = os.path.basename(file)
+        id = os.path.splitext(file_name)[0]
+        result = extra_resume(file)
+        result = json.dumps(result, ensure_ascii=False)
+        logger.info(f"result type is {type(result)}")
+        logger.info(f"file content is {result}")
+        if not result:
+            logger.warning(f"file {file_name} 提取为空")
+            update_fail_mapping.append({'id': id, 'status': 0,
+                                        'message': f"task {dir_id} => file {file_name} 提取为空"})
+            continue
+        update_success_mapping.append({'id': id, 'status': 1, 'data_info': result})
+    session = SqliteSqlalchemy().session
+    logger.info(f"update success mapping => {update_success_mapping}")
+    logger.info(f"update fail mapping => {update_fail_mapping}")
+    success_num = len(update_success_mapping)
+    fail_num = len(update_fail_mapping)
+    try:
+        update_data = update_success_mapping + update_fail_mapping
+        session.bulk_update_mappings(DBRESUME, update_data)
+
+        if update_fail_mapping:
+            session.bulk_update_mappings(DBTASK, [{'id': dir_id, 'status': 2, 'success_num': success_num,
+                                                   'fail_num': fail_num, 'message': f'fail => {update_fail_mapping}'}])
+        else:
+            session.bulk_update_mappings(DBTASK, [{'id': dir_id, 'status': 1,
+                                                   'success_num': success_num, 'fail_num': fail_num}])
+        session.commit()
+    except Exception as e:
+        logger.error(f"update failed => task {dir_id} error {e}")
+        session.rollback()
+        return False, f"Failed to update DBRESUME  error {e}"
+    finally:
+        session.close()
+
+    return True, 'success'
+
+
+async def upload_and_format_file(dir_id, files: List[UploadFile]) -> (bool, str):
+    logger.info(f"upload_and_format_file in service dir_id {dir_id}")
+    pathxx = pathlib.Path(BASE_PATH).joinpath(dir_id)
+    pathxx.mkdir(parents=True, exist_ok=True)
+    data = []
+    for file in files:
+        # id = str(uuid.uuid4())
+        name, fix = os.path.splitext(file.filename)
+        if fix not in ['.xls', '.xlsx']:
+            continue
+        with open(pathxx.joinpath(dir_id + fix), 'wb') as f:
+            file_content = await file.read()
+            f.write(file_content)
+        data.append(DBEXCEL(id=dir_id, status=0, file_name=dir_id + '.xlsx'))
+    session = SqliteSqlalchemy().session
+    try:
+        session.bulk_save_objects(data)
+        session.commit()
+    except Exception as e:
+        print(f"Failed to save DBEXCEL  error {e}")
+        session.rollback()
+        return False, f"Failed to save DBEXCEL  error {e}"
+    finally:
+        session.close()
+    return True, "success"
+
+
+def zip_file_folder(dir_id):
+    pathxx = pathlib.Path(BASE_PATH).joinpath(dir_id)
+    output_filename = pathlib.Path(ZIP_PATH).joinpath((dir_id + ".zip"))
+    with zipfile.ZipFile(output_filename, 'w', zipfile.ZIP_DEFLATED) as zipf:
+        # 遍历文件夹中的所有文件和子文件夹
+        for root, dirs, files in os.walk(pathxx):
+            for file in files:
+                # 构建完整的文件路径
+                file_path = os.path.join(root, file)
+                # 将文件添加到ZIP文件中，使用相对于原始文件夹的路径
+                zipf.write(file_path, arcname=os.path.relpath(file_path, pathxx))
+
+
+def fetch_and_format_file(dir_id) -> (bool, str):
+    logger.info(f"fetch_and_format_file in service dir_id {dir_id}")
+    pathxx = pathlib.Path(BASE_PATH).joinpath(dir_id)
+    pathx_1 = pathxx.joinpath(dir_id + ".xlsx")
+    if not pathx_1.exists():
+        pathx_1 = pathxx.joinpath(dir_id + ".xls")
+    data = pd.read_excel(pathx_1)
+    data_dict = data.to_dict('records')
+    print(data_dict)
+    format_excel_to_words(dir_id, data_dict)
+    zip_file_folder(dir_id)
+    session = SqliteSqlalchemy().session
+    try:
+        session.execute(update(DBTASK).where(DBTASK.id == dir_id).values(status=1))
+        session.commit()
+    except Exception as e:
+        session.rollback()
+    finally:
+        session.close()
+
+
+def download_format_words(task_id):
+    pathxx = pathlib.Path(ZIP_PATH).joinpath((task_id + ".zip"))
+    if not pathxx.exists():
+        return None
+    return pathxx

service/format_template_resume.py

@@ -0,0 +1,303 @@
+import json
+import re
+
+from docxtpl import DocxTemplate
+from pathlib import Path
+from decouple import config
+import pathlib,logging
+import uuid
+from sqlalchemy import update
+
+from openpyxl import load_workbook,styles
+
+from db.sql_db import SqliteSqlalchemy, DBEXCEL
+
+logger = logging.getLogger(__name__)
+# BASE_PATH = config('BASE_PATH', default='E://pyptoject//yj_resume//')
+BASE_PATH = config('BASE_PATH', default='D://PycharmProject//yj_resume//uploads//')
+context = {
+    'name': '张三',
+    'sex': '男',
+    'nation': '汉族',
+    'brith': '1990-01-01',
+    'address': '北京市海淀区西二旗',
+    'education': '本科',
+    'degree': '学士',
+    # 籍贯
+    'origin': '山东',
+    'politics': '党员',
+    # 部门
+    'department': '数信部',
+    'position': '助理开发工程师',
+    'phone': '13812345678',
+    'title': '后端开发工程师',
+    'start_work_time': '2018-01-01',
+    # 身份证
+    'id_number': '500221199001010010101',
+    # 荣誉，交给大模型
+    'honor': '一等奖',
+    # 工作内容
+    'work_text': '''
+    2023.12-2024.10：负责《边缘计算+5G自组网的水电物联网系统建设与研究》项目异常检测算法和项目实施：利用5G自组网技术、自建边缘计算单元等，实际实现在线异常检测、时间序列趋势分析、模型轻量化等功能，缓解通信带宽压力；在观音岩、彭水、渝能等场站实施应用。完成项目科技成果凝练、项目报奖等工作。本项目工作获得第六届全国设备管理与技术创新成果一等奖、中电联职工创新成果二等奖。
+2024.04-2025.至今：广西河池源网荷储一体化项目/大唐西藏玉曲河扎拉电厂可行性研究报告&方案编写、AI支持中心方案策划
+'''
+
+}
+
+excel_mapping = {
+    'politics': {'群众': '1', '中共党员': '2', '民主党派': '3', '共青团员': '4'},
+    'education': {'小学及以下': '1', '初中': '2', '高中、技校': '3', '中专': '4',
+                  '大专': '5', '大学本科': '6', '硕士研究生': '7', '博士研究生': '8'},
+    'nation': {'汉族': '1', '蒙古族': '2', '回族': '3', '藏族': '4', '维吾尔族': '5',
+               '苗族': '6', '彝族': '7', '壮族': '8', '布依族': '9', '朝鲜族': '10',
+               '满族': '11', '侗族': '12', '瑶族': '13', '白族': '14', '土家族': '15',
+               '哈尼族': '16', '哈萨克族': '17', '傣族': '18', '黎族': '19', '傈僳族': '20',
+               '佤族': '21', '畲族': '22', '高山族': '23', '拉祜族': '24', '水族': '25',
+               '东乡族': '26', '纳西族': '27', '景颇族': '28', '柯尔克孜族': '29', '土族': '30',
+               '达斡尔族': '31', '仫佬族': '32', '羌族': '33', '布朗族': '34', '撒拉族': '35',
+               '毛南族': '36', '仡佬族': '37', '锡伯族': '38', '阿昌族': '39', '普米族': '40',
+               '塔吉克族': '41', '怒族': '42', '乌孜别克族': '43', '俄罗斯族': '44', '鄂温克族': '45',
+               '德昂族': '46', '保安族': '47', '裕固族': '48', '京族': '49', '塔塔尔族': '50', '独龙族': '51',
+               '鄂伦春族': '52', '赫哲族': '53', '门巴族': '54', '珞巴族': '55', '基诺族': '56', '其他': '57'},
+    'address': {'拉萨市': '540100', '昌都地区': '542100', '山南地区': '542200', '日喀则地区': '542300',
+                '那曲地区': '542400', '阿里地区': '542500', '林芝地区': '542600', '藏外地区': '549999'}}
+
+
+def convert_excel_data(old_dict: dict) -> dict:
+    new_dict = {}
+    pre_edu_mapping = {
+        '无':'小学及以下',
+        '小学':'小学及以下',
+        '初中':'初中',
+        '高中':'高中、技校',
+        '高职':'高中、技校',
+        '中专':'中专',
+        '大专': '大专',
+        '本科': '大学本科',
+        '硕士': '硕士研究生',
+        '博士': '博士研究生',
+    }
+    pre_addr_mapping = {
+        '拉萨': '拉萨市',
+        '昌都': '昌都地区',
+        '山南': '山南地区',
+        '日喀则': '日喀则地区',
+        '那曲': '那曲地区',
+        '阿里': '阿里地区',
+        '林芝': '林芝地区',
+
+    }
+    pre_nation_mapping = excel_mapping.get('nation')
+    new_dict['name'] = dict_get_mul_key(['姓名', '姓 名'], old_dict)
+    new_dict['sex'] = dict_get_mul_key(['性别', '性 别'], old_dict)
+    new_dict['origin'] = dict_get_mul_key(['籍贯', '籍 贯'], old_dict)
+    new_dict['politics'] = '中共党员' if len(dict_get_mul_key(['入党时间', '入 党 时 间'], old_dict)) > 0 and dict_get_mul_key(['入党时间'],old_dict) not in ('/', '\\','None','nan','无') else '群众'
+    address = dict_get_mul_key(['出 生 地', '出生地'], old_dict)
+    nation = dict_get_mul_key(['民族', '民 族'], old_dict)
+    new_dict['nation'] = nation
+    # 学历标准化
+    r1 = old_dict.get("全日制教育")
+    r2 = old_dict.get("在职教育")
+    if len(r1) > 0 and r1 not in ('/','\\','None','nan','无','否','null'):
+        education = r1
+    else:
+        education = r2
+    education = education.lower().replace(' ', '')
+    for k,v in pre_edu_mapping.items():
+        if k in education:
+            new_dict['education'] = v
+    addr_found = False
+    # 居住地标准化
+    for k,v in pre_addr_mapping.items():
+        if k in address:
+            print("藏内地区")
+            addr_found = True
+            new_dict['address'] = v
+    if not addr_found:
+        print("藏外地区")
+        new_dict['address'] = '藏外地区'
+    # 民族标准化
+    for k,v in pre_nation_mapping.items():
+        if k in nation or nation in k:
+            new_dict['nation'] = k
+    return new_dict
+
+def map_data(data_list):
+    #特殊值地区编号
+    for idx, row in enumerate(data_list):
+        for k,v in excel_mapping.items():
+            value = row.get(k)
+            if value:
+                if v.get(value,''):
+                    data_list[idx][k] = v.get(value)
+    return data_list
+
+def dict_get_mul_key(keys: list, dict_data: dict):
+    for k in keys:
+        if k in dict_data.keys() and dict_data[k]:
+            return dict_data[k]
+    return ''
+
+
+def convert_data(old_dict: dict) -> dict:
+    new_dict = {}
+    new_dict['name'] = dict_get_mul_key(['姓名', '姓 名'], old_dict)
+    new_dict['sex'] = dict_get_mul_key(['性别', '性 别'], old_dict)
+    new_dict['nation'] = dict_get_mul_key(['民族', '民 族'], old_dict)
+    new_dict['brith'] = dict_get_mul_key(['出生年月', '出生年月(岁)'], old_dict)
+    new_dict['origin'] = dict_get_mul_key(['籍贯', '籍 贯'], old_dict)
+    new_dict['address'] = dict_get_mul_key(['出 生 地', '出生地'], old_dict)
+    new_dict['education'] = dict_get_mul_key(['学历', '学 历'], old_dict)
+    new_dict['degree'] = dict_get_mul_key(['学位', '学 位'], old_dict)
+    new_dict['politics'] = '党员' if len(dict_get_mul_key(['入党时间', '入 党 时 间'], old_dict)) > 0 and dict_get_mul_key(['入党时间'], old_dict) not in ('/','\\','None','nan','无')  else '群众'
+    new_dict['department'] = dict_get_mul_key(['部门', '部 门'], old_dict)
+    new_dict['position'] = dict_get_mul_key(['现任职务', '现 任 职 务'], old_dict)
+    new_dict['phone'] = dict_get_mul_key(['手机号', '手 机 号'], old_dict)
+    new_dict['title'] = dict_get_mul_key(['专业技术职务', '职 称'], old_dict)
+    new_dict['start_work_time'] = dict_get_mul_key(['开始工作时间', '开始 工作 时间'], old_dict)
+    new_dict['id_number'] = dict_get_mul_key(['身份证', '身 份 证','身份证号码','身份证号'], old_dict)
+    new_dict['honor'] = dict_get_mul_key(['奖惩情况', '奖惩 情况'], old_dict)
+    new_dict['work_text'] = dict_get_mul_key(['简历', '简 历'], old_dict)
+    return new_dict
+
+
+def format_and_write_excel_file(dir_id, data_list, template_row=5):
+    logger.info("Start to format and write excel file ")
+    try:
+        outpath = pathlib.Path(BASE_PATH).joinpath(dir_id)
+        output_path = outpath.joinpath((dir_id + '_out.xlsx'))
+        template_path = Path.cwd().joinpath('template.xlsx')
+        wb = load_workbook(template_path)
+        ws = wb.active
+
+        pattern = re.compile(r'\{\{(\w+)\}\}')
+
+        placeholder_columns = {}
+        for col in range(1, ws.max_column + 1):
+            cell = ws.cell(row=template_row, column=col)
+            if cell.value and isinstance(cell.value, str) and '{{' in cell.value:
+                matches = pattern.findall(cell.value)
+                if matches:
+                    placeholder_columns[col] = matches[0]
+
+        logger.info(f"找到占位符列: {placeholder_columns}")
+
+        # 处理每条数据
+        for index, data in enumerate(data_list):
+            target_row = template_row + index
+
+            if index > 0:
+                # 插入新行并复制格式
+                ws.insert_rows(target_row)
+                for col in range(1, ws.max_column + 1):
+                    source_cell = ws.cell(row=target_row - 1, column=col)
+                    target_cell = ws.cell(row=target_row, column=col)
+                    target_cell.style = source_cell.style
+                    if source_cell.alignment:
+                        # 必须明确复制对齐属性
+                        target_cell.alignment = styles.Alignment(
+                            horizontal=source_cell.alignment.horizontal,  # 水平对齐
+                            vertical=source_cell.alignment.vertical,  # 垂直对齐
+                            text_rotation=source_cell.alignment.text_rotation,
+                            wrap_text=source_cell.alignment.wrap_text,
+                            shrink_to_fit=source_cell.alignment.shrink_to_fit,
+                            indent=source_cell.alignment.indent
+                        )
+                    # 只复制样式，不复制值
+                    # if source_cell.has_style:
+                    #     target_cell.font = copy(source_cell.font)
+                    #     target_cell.border = copy(source_cell.border)
+                    #     target_cell.fill = copy(source_cell.fill)
+                    #     target_cell.number_format = source_cell.number_format
+                    #     target_cell.alignment = copy(source_cell.alignment)
+                    # 复制边框（这是你缺失的关键部分）
+                    if hasattr(source_cell, 'border') and source_cell.border:
+                        # 创建新的边框对象
+                        from openpyxl.styles import Border, Side
+
+                        # 获取源单元格的边框样式
+                        source_border = source_cell.border
+
+                        # 创建新的边框对象
+                        new_border = Border(
+                            left=Side(
+                                style=source_border.left.style,
+                                color=source_border.left.color
+                            ) if source_border.left else None,
+                            right=Side(
+                                style=source_border.right.style,
+                                color=source_border.right.color
+                            ) if source_border.right else None,
+                            top=Side(
+                                style=source_border.top.style,
+                                color=source_border.top.color
+                            ) if source_border.top else None,
+                            bottom=Side(
+                                style=source_border.bottom.style,
+                                color=source_border.bottom.color
+                            ) if source_border.bottom else None
+                        )
+                        target_cell.border = new_border
+
+            # 填充数据
+            for col, field in placeholder_columns.items():
+                print()
+                cell = ws.cell(row=target_row, column=col)
+
+                if field in data and data[field] is not None:
+                    value = data[field]
+                    cell.value = value
+                else:
+                    # 数据为空，保持单元格空白
+                    cell.value = None
+
+        # 保存文件
+        wb.save(output_path)
+    except Exception as e:
+        logger.error(f"format and write excel file failed {e}")
+
+
+def format_and_write_file(dir_id: str, ctx: dict):
+    logger.info(f'format_and_write_file dir id is {dir_id}')
+    user_name = ctx.get('name', str(uuid.uuid4()))
+    file_path = Path.cwd().joinpath('template.docx')
+    print(file_path)
+    template = DocxTemplate(file_path)
+    print(f"ctx {ctx}")
+    print("test1")
+    template.render(ctx)
+    print("test2")
+    pathxx = pathlib.Path(BASE_PATH).joinpath(dir_id)
+    print("test3")
+    pathxx = pathxx.joinpath((user_name + '.docx'))
+    print(pathxx)
+    template.save(pathxx)
+    print('222222222')
+
+
+
+
+def format_excel_to_words(dir_id: str, dict_data_list: list[dict]):
+    if not dict_data_list or len(dict_data_list) < 1:
+        return
+    logger.info("dict_data_list is {0}".format(dict_data_list))
+    excel_data_list = [convert_excel_data(data) for data in dict_data_list]
+    excel_data_list = map_data(excel_data_list)
+    logger.info(f"excel map data is {excel_data_list}")
+    format_and_write_excel_file(dir_id, excel_data_list)
+    session = SqliteSqlalchemy().session
+    # 同时写出一份到数据库，后期后继汇总excel
+    try:
+        save_data = json.dumps(excel_data_list, ensure_ascii=False)
+        session.execute(update(DBEXCEL).where(DBEXCEL.id == dir_id).values(status=1, file_name=dir_id + '_out.xlsx', excel_info=save_data))
+        session.commit()
+    except Exception as e:
+        session.rollback()
+    finally:
+        session.close()
+    for dict_data in dict_data_list:
+
+        new_data = convert_data(dict_data)
+        print(new_data)
+        format_and_write_file(dir_id, new_data)
+

service/parse_resume2_doc.py

@@ -0,0 +1,462 @@
+import os.path
+import re
+import json
+from pathlib import Path
+import  pypandoc
+
+from docx import Document
+from typing import Dict, List, Any, Tuple
+from collections import defaultdict
+import logging
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+class EnhancedDocxExtractor:
+    def __init__(self):
+        # 定义字段名称的多种变体
+        self.field_variants = {
+            '姓名': ['姓名', '姓 名', '姓  名', '姓名：', '姓 名：','姓    名'],
+            '性别': ['性别', '性 别', '性  别', '性别：', '性 别：','性    别'],
+            '出生年月': ['出生年月', '出生年月：', '出生日期', '出生日期：'],
+            '民族': ['民族', '民族：', '民 族'],
+            '政治面貌': ['政治面貌', '政治面貌：', '政治面貌：'],
+            '现任职单位及部门': ['现任职单位及部门', '单位及部门', '工作单位', '现任职单位'],
+            '联系电话': ['联系电话', '电话', '手机', '联系电话：', '手机号'],
+            '联系地址': ['联系地址', '地址', '联系地址：', '家庭地址'],
+            '学历学位': ['学历', '学历：', '学 历', '学历\n学位','学位','学位：','学 位'],
+            '毕业院校系及专业': ['毕业院校', '毕业学校', '毕业院校：'],
+            '专业': ['专业', '专业：', '系及专业', '所学专业'],
+        }
+
+    def convert_doc_to_docx(self, file_path: str) -> Document:
+        pass
+
+
+
+
+
+
+    def extract_with_table_structure(self, docx_path: str) -> Dict[str, Any]:
+        """
+        提取 .docx 中的表格结构数据
+        """
+        logger.info(f"into extract_with_table_structure")
+        doc = Document(docx_path)
+        results = defaultdict(dict)
+        # 分析每个表格
+        for table_idx, table in enumerate(doc.tables):
+            logger.info(f"\n处理表格 {table_idx + 1} ({len(table.rows)}行 × {len(table.columns)}列)")
+
+            # 获取表格结构
+            table_structure = self._analyze_table_structure(table)
+            # 提取键值对
+            kv_pairs = self._extract_from_table_structure(table, table_structure)
+            # 分类存储
+            for key, value in kv_pairs:
+                category = self._categorize_field(key)
+                results[category][key] = value
+        # 提取段落中的信息
+        paragraph_info = self._extract_from_paragraphs(doc.paragraphs)
+        for key, value in paragraph_info:
+            category = self._categorize_field(key)
+            results[category][key] = value
+
+        return dict(results)
+
+    def _analyze_table_structure(self, table) -> List[List[Dict]]:
+        """
+        分析表格结构，返回每个单元格的元信息
+        """
+        structure = []
+
+        for row_idx, row in enumerate(table.rows):
+            row_info = []
+            for col_idx, cell in enumerate(row.cells):
+                cell_text = cell.text.strip()
+                # 分析单元格属性
+                cell_info = {
+                    'text': cell_text,
+                    'row': row_idx,
+                    'col': col_idx,
+                    'rowspan': 1,
+                    'colspan': 1,
+                    'is_key': self._is_likely_key(cell_text),
+                    'is_value': self._is_likely_value(cell_text),
+                }
+                row_info.append(cell_info)
+            structure.append(row_info)
+
+        return structure
+
+    def _extract_from_table_structure(self, table, structure) -> List[Tuple[str, str]]:
+        """
+        从表格结构中提取键值对
+        """
+        kv_pairs = []
+        visited = set()
+        key_recode = []
+        for row_idx, row in enumerate(structure):
+            for col_idx, cell in enumerate(row):
+                logger.info(f"visited is {visited} ")
+                logger.info(f'row {row_idx} col {col_idx} all cell is {cell}')
+                if (row_idx, col_idx) in visited:
+                    logger.info(f'---{row_idx}, {col_idx} in visited ')
+                    continue
+
+                if cell['is_key']:
+                    # next_cell = structure[row_idx][col_idx+1]
+                    # 寻找对应的值
+                    logger.info(f"cell2 is {cell} row {row_idx} col {col_idx}")
+                    value = self._find_value_for_key(table, structure, row_idx, col_idx, visited, kv_pairs)
+                    if value:
+                        key = self._normalize_key(cell['text'])
+                        found = False
+                        for i, (k,v) in enumerate(kv_pairs):
+                            if k == cell['text']:
+                                kv_pairs[i] = (k,value)
+                                found = True
+                        if not found:
+                            kv_pairs.append((key, value))
+
+                else:
+                    logger.info("不是key")
+        return kv_pairs
+
+    def _find_value_for_key(self, table, structure, key_row, key_col, visited, kv_pairs) -> str:
+        """
+        为键找到对应的值
+        """
+        logger.info(f"======================kv==================={kv_pairs}")
+        # 尝试右侧单元格
+        if key_col + 1 < len(structure[key_row]):
+
+            value_cell = structure[key_row][key_col + 1]
+            translation_table = str.maketrans('', '', ' \t\n\r\f\v')
+            current_key_cell = structure[key_row][key_col]
+            if not value_cell['text']:
+                value_cell['text'] = "None"
+            current_key_text = current_key_cell['text'].translate(translation_table)
+            if value_cell['is_key']:
+                return None
+            # 特殊处理学历
+
+            spec_cell_meb = ['称谓', '姓名', '年龄', '政治面貌']
+            if current_key_text == "家庭主要成员及重要社会关系":
+                logger.info("特殊处理家庭主要成员及重要社会关系")
+                values = []
+                old_value = None
+                for k, v in kv_pairs:
+                    if k == current_key_text:
+                        old_value = v
+                logger.info(f"old_value is {old_value}")
+                translation_table = str.maketrans('', '', ' \t\n\r\f\v')
+                v =value_cell['text'].translate(translation_table)
+                logger.info(f"当前值为 {str(v)}")
+
+                if v not in spec_cell_meb:
+                    for i in range(key_col+1,len(structure[key_row])):
+                        col_value = structure[key_row][i]['text']
+                        logger.info(f"col_value is {col_value}")
+                        if col_value not in values and col_value != 'None':
+                            values.append(col_value)
+                        visited.add((key_row, i))
+                    vs = "_".join(values)
+                    if old_value :
+                        if vs:
+                            value_cell['text'] = old_value + "|" + vs
+                        else:
+                            value_cell['text'] = old_value
+                    else:
+                        value_cell['text'] = "_".join(values)
+
+                    return value_cell['text']
+                logger.info(f"in {spec_cell_meb }")
+                return None
+
+            if value_cell['text'] and (key_row, key_col + 1) not in visited:
+                # 检查这个值是否与前一个键提取的值相同（可能是合并单元格）
+                if not self._is_key_duplicate_merged_cell(structure[key_row][key_col]['text'], kv_pairs):
+                    logger.info("前一个不重复")
+                    logger.info(f"visited add {key_row} {key_col + 1}")
+                    visited.add((key_row, key_col + 1))
+                    return value_cell['text']
+                else:
+                    # current_key = structure[key_row][key_col]['text']
+                    logger.info(f"key值重复------------------------------key {current_key_text}")
+                    for key, value in kv_pairs:
+                        if key == current_key_text:
+                            # value_arr = value.strip(',')
+                            if value_cell['text'] in value:
+                                return value
+                            return value+","+value_cell['text']
+
+
+        # 尝试下方单元格
+        if key_row + 1 < len(structure):
+            value_cell = structure[key_row + 1][key_col]
+            if value_cell['text'] and (key_row + 1, key_col) not in visited:
+                # 检查这个值是否与前一个键提取的值相同（可能是合并单元格）
+                if not self._is_key_duplicate_merged_cell(structure[key_row][key_col]['text'],  kv_pairs):
+                    logger.info("下一个不重复")
+                    logger.info(f"visited add {key_row} {key_col + 1}")
+                    visited.add((key_row + 1, key_col))
+                    return value_cell['text']
+
+        # 尝试合并单元格的情况
+        for row_idx in range(len(structure)):
+            for col_idx in range(len(structure[row_idx])):
+                cell = structure[row_idx][col_idx]
+                if (row_idx, col_idx) not in visited and cell['text']:
+                    # 检查是否在键的附近
+                    if abs(row_idx - key_row) <= 2 and abs(col_idx - key_col) <= 2:
+                        # 检查这个值是否与前一个键提取的值相同
+                        if not self._is_key_duplicate_merged_cell(structure[key_row][key_col]['text'], kv_pairs):
+                            logger.info("合并不重复")
+                            logger.info(f"visited add {key_row} {key_col + 1}")
+                            visited.add((row_idx, col_idx))
+                            return cell['text']
+        return None
+
+
+    def _is_key_duplicate_merged_cell(self, text, kv_pairs) -> bool:
+        """
+        检查当前文本value是否可能和已收录的kv集合里的key值重复
+        如下例：1行0列 ，2行0列 都是毕业院校
+        第一次 1行0列:1行2列组成key:value
+        第二次到2行0列，检测到 毕业院校已出现在kv_pairs中，不再组合2行0列:2行1列
+                | 硕士学位/研究生学历：中国科学院计算技术研究所计算机技术专业
+        毕业院校 |——————————————————————————————————————————————————
+               |
+               |————————————————————————————————————————————————————
+        """
+        translation_table = str.maketrans('', '', ' \t\n\r\f\v')
+        text = text.translate(translation_table)
+        for k, v in kv_pairs:
+            if text == k:
+                return True
+
+        return False
+
+    def extract_parentheses_content(self, text):
+        # 使用正则表达式提取括号内的所有内容
+        matches = re.findall(r'[（(]([^）)]*)[）)]', text)
+
+        return matches # 返回列表，可能包含多个括号
+
+    def _is_likely_key(self, text: str) -> bool:
+        """判断文本是否可能是键"""
+        translation_table = str.maketrans('', '', ' \t\n\r\f\v')
+        text = text.translate(translation_table)
+        if not text or len(text) > 20:
+            return False
+
+        # 检查是否包含常见字段词
+        key_indicators = ['姓名', '性别', '出生年月(岁)', '民族', '籍贯', '出生地', '入党时间', '健康状况', '全日制教育','在职教育', '毕业院校系及专业','称谓',
+                          '年龄','政治面貌','工作单位及职务','参加工作时间', '专业技术职务', '熟悉专业有何专长', '现任职务', '拟任职务', '拟免职务','职称取得时间',
+                          '年核度结考果','简历','奖惩情况', '年度考核结果', '任免理由', '家庭主要成员及重要社会关系']
+
+        for indicator in key_indicators:
+            if indicator in text:
+                return True
+
+        # 检查是否有冒号（中文文档常用）
+        if '：' in text or ':' in text:
+            key_part = text.split('：')[0].split(':')[0]
+            if any(indicator in key_part for indicator in key_indicators):
+                return True
+
+        return False
+
+    def _is_likely_value(self, text: str) -> bool:
+        """判断文本是否可能是值"""
+        if not text:
+            return False
+
+        # 值通常不是常见的字段名
+        if self._is_likely_key(text):
+            return False
+
+        # 值可能包含特定内容
+        if re.match(r'^\d{11}$', text):  # 手机号
+            return True
+        if re.match(r'^\d{4}年', text):  # 日期
+            return True
+        if len(text) > 10:  # 长文本可能是值
+            return True
+
+        return True
+
+    def _normalize_key(self, key_text: str) -> str:
+        """标准化键名"""
+        # 移除冒号和空格
+        translation_table = str.maketrans('', '', ' \t\n\r\f\v')
+        key_text = key_text.translate(translation_table)
+        key_text = re.sub(r'[：:\s]+$', '', key_text)
+        # 映射到标准键名
+        for std_key, variants in self.field_variants.items():
+            for variant in variants:
+                if variant == key_text or key_text in variant:
+                    return std_key
+
+        return key_text
+
+    def _categorize_field(self, key: str) -> str:
+        """将字段分类"""
+
+        categories = {
+            '基本信息': ['姓名', '性别', '出生年月(岁)', '民族', '籍贯', '出生地', '入党时间', '健康状况', '全日制教育','在职教育', '毕业院校系及专业'],
+            '工作信息': ['参加工作时间', '专业技术职务', '熟悉专业有何专长', '现任职务', '拟任职务', '拟免职务','职称取得时间', '年核度结考果'],
+        }
+
+        for category, fields in categories.items():
+            translation_table = str.maketrans('', '', ' \t\n\r\f\v')
+            key = key.translate(translation_table)
+            if key in fields:
+                return category
+
+        return '其他信息'
+
+    def _extract_from_paragraphs(self, paragraphs) -> List[Tuple[str, str]]:
+        """从段落中提取信息"""
+        kv_pairs = []
+
+        for para in paragraphs:
+            text = para.text.strip()
+            if not text:
+                continue
+
+            # 尝试提取冒号分隔的键值对
+            if '：' in text or ':' in text:
+                separator = '：' if '：' in text else ':'
+                parts = text.split(separator, 1)
+
+                if len(parts) == 2:
+                    key = parts[0].strip()
+                    value = parts[1].strip()
+
+                    if self._is_likely_key(key) and value:
+                        normalized_key = self._normalize_key(key)
+                        kv_pairs.append((normalized_key, value))
+
+        return kv_pairs
+
+
+# 快速使用示例
+def quick_extract(docx_path: str):
+    """快速提取并显示结果"""
+    logger.info('into quick_extract')
+    extractor = EnhancedDocxExtractor()
+    try:
+        result = extractor.extract_with_table_structure(docx_path)
+        logger.info("\n提取结果 (键值对格式):")
+        logger.info("=" * 60)
+
+        for category, fields in result.items():
+            if fields:
+                logger.info(f"\n{category}:")
+                for key, value in fields.items():
+                    logger.info(f"  {key}: {value}")
+        return result
+
+    except Exception as e:
+        logger.info(f"提取失败: {e}")
+
+
+def is_valid_year_month(year, month):
+    """验证年月有效性"""
+    if len(year) != 4:
+        return False
+
+    try:
+        month_int = int(month)
+        return 1 <= month_int <= 12
+    except ValueError:
+        return False
+def get_year_month(text):
+    """
+    最终版本：覆盖所有情况
+    直接匹配并提取年月
+    """
+    # 统一正则表达式，一步到位
+    pattern = r'''
+        (\d{4})                      # 年：4位数字
+        [-./年]                      # 分隔符
+        (\d{1,2})                    # 月：1-2位数字
+        (?:                          # 非捕获组：日的部分（可选）
+            [-./月]                  # 分隔符
+            \d{1,2}                  # 日
+            (?:[日号]?|[-./]?)       # 可选的"日"或"号"
+        )?                           # 整个日的部分是可选的
+        (?!\d)                       # 后面不能紧跟数字（避免匹配到年龄）
+    '''
+
+    match = re.search(pattern, text, re.VERBOSE | re.IGNORECASE)
+
+    if match:
+        year, month = match.groups()[:2]
+        month = month.zfill(2)
+
+        if is_valid_year_month(year, month):
+            return f"{year}-{month}"
+
+    return None
+
+base_map = ['姓名','性别','出生年月(岁)','民族','籍贯','出生地','入党时间','健康状况','全日制教育','在职教育','毕业院校系及专业']
+work_map = ['参加工作时间','专业技术职务','熟悉专业有何专长','现任职务','拟任职务','拟免职务','职称取得时间','年核度结考果']
+other_map = ['简历','奖惩情况','年度考核结果','任免理由','家庭主要成员及重要社会关系']
+
+
+
+def fetch_info(data):
+    map_word = base_map + work_map + other_map
+    logger.info("data is {0}".format(data))
+    logger.info("map_word is {0}".format(map_word))
+    final_res = {}
+    for key, value in data.items():
+        translation_table = str.maketrans('', '', ' \t\n\r\f\v')
+        clean_key = key.translate(translation_table)
+        logger.info(f"key is {clean_key} ")
+        if clean_key in map_word:
+            # clean_value = value.translate(translation_table)
+            # 特殊处理家庭成员
+            if clean_key == "家庭主要成员及重要社会关系":
+                value_arr = value.split('|')
+                final_value = []
+                if value_arr:
+                    for value in value_arr:
+                        v = value.split('_')
+                        # v = ",".join(v)
+                        final_value.append(v)
+                        value = final_value
+            # 特殊处理年月
+            if clean_key == "出生年月(岁)":
+                value = get_year_month(value)
+            final_res[clean_key] = value
+
+
+    return final_res
+
+
+def extra_resume(file_path):
+    logger.info(f"Start to quick extract {file_path}")
+    result = quick_extract(file_path)
+    logger.info(f"result isv ------------------------------{result}")
+    base_data = result['基本信息']
+    work_data = result['工作信息']
+    other_data = result['其他信息']
+    data = {}
+    data.update(base_data)
+    data.update(work_data)
+    data.update(other_data)
+    res = fetch_info(data)
+    return res
+
+
+# if __name__ == "__main__":
+#     logger = logging.getLogger(__name__)
+#     # 使用方法
+#     docx_file = "../任免审批表数信中心--谭杰明.docx"  # 替换为你的文件
+#     print(extra_resume(docx_file))
+
+