FORMAT_CONVERSION_MAXCOMPUTE/format_convert/convert.py

#-*- coding: utf-8 -*-
import gc
import json
import sys
import os
import tracemalloc
from io import BytesIO
import objgraph
sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../")
# 强制tf使用cpu
os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
from format_convert.utils import judge_error_code, request_post, get_intranet_ip, get_ip_port, get_logger, log, \
    set_flask_global, get_md5_from_bytes, memory_decorator
from format_convert.convert_doc import doc2text, DocConvert
from format_convert.convert_docx import docx2text, DocxConvert
from format_convert.convert_image import picture2text, ImageConvert
from format_convert.convert_pdf import pdf2text, PDFConvert
from format_convert.convert_rar import rar2text, RarConvert
from format_convert.convert_swf import swf2text, SwfConvert
from format_convert.convert_txt import txt2text, TxtConvert
from format_convert.convert_xls import xls2text, XlsConvert
from format_convert.convert_xlsx import xlsx2text, XlsxConvert
from format_convert.convert_zip import zip2text, ZipConvert

import hashlib
from format_convert.judge_platform import get_platform
from ocr import ocr_interface
from otr import otr_interface
import re
import shutil
import base64
import time
import uuid
import logging
from bs4 import BeautifulSoup
from flask import Flask, request, g
import inspect
logging.getLogger("pdfminer").setLevel(logging.WARNING)
from format_convert.table_correct import *
import logging
from format_convert.wrapt_timeout_decorator import *
from format_convert import _global


port_num = [0]
def choose_port():
    process_num = 4
    if port_num[0] % process_num == 0:
        _url = local_url + ":15011"
    elif port_num[0] % process_num == 1:
        _url = local_url + ":15012"
    elif port_num[0] % process_num == 2:
        _url = local_url + ":15013"
    elif port_num[0] % process_num == 3:
        _url = local_url + ":15014"

    port_num[0] = port_num[0] + 1
    return _url


@memory_decorator
def getText(_type, path_or_stream):
    @timeout(300, timeout_exception=TimeoutError, use_signals=False)
    def get_html_1(_class):
        return _class.get_html()

    @timeout(600, timeout_exception=TimeoutError, use_signals=False)
    def get_html_2(_class):
        return _class.get_html()

    log("file type - " + _type)

    try:
        ss = path_or_stream.split(".")
        unique_type_dir = ss[-2] + "_" + ss[-1] + os.sep
    except:
        unique_type_dir = path_or_stream + "_" + _type + os.sep

    if _type == "pdf":
        # return PDFConvert(path_or_stream, unique_type_dir).get_html()
        return get_html_1(PDFConvert(path_or_stream, unique_type_dir))
    if _type == "docx":
        # return DocxConvert(path_or_stream, unique_type_dir).get_html()
        return get_html_1(DocxConvert(path_or_stream, unique_type_dir))
    if _type == "zip":
        return ZipConvert(path_or_stream, unique_type_dir).get_html()
        # return get_html_2(ZipConvert(path_or_stream, unique_type_dir))
    if _type == "rar":
        return RarConvert(path_or_stream, unique_type_dir).get_html()
        # return get_html_2(RarConvert(path_or_stream, unique_type_dir))
    if _type == "xlsx":
        # return XlsxConvert(path_or_stream, unique_type_dir).get_html()
        return get_html_1(XlsxConvert(path_or_stream, unique_type_dir))
    if _type == "xls":
        # return XlsConvert(path_or_stream, unique_type_dir).get_html()
        return get_html_1(XlsConvert(path_or_stream, unique_type_dir))
    if _type == "doc":
        # return DocConvert(path_or_stream, unique_type_dir).get_html()
        return get_html_1(DocConvert(path_or_stream, unique_type_dir))
    if _type == "jpg" or _type == "png" or _type == "jpeg":
        # return ImageConvert(path_or_stream, unique_type_dir).get_html()
        return get_html_1(ImageConvert(path_or_stream, unique_type_dir))
    if _type == "swf":
        # return SwfConvert(path_or_stream, unique_type_dir).get_html()
        return get_html_1(SwfConvert(path_or_stream, unique_type_dir))
    if _type == "txt":
        # return TxtConvert(path_or_stream, unique_type_dir).get_html()
        return get_html_1(TxtConvert(path_or_stream, unique_type_dir))
    return [""]


def to_html(path, text):
    with open(path, 'w',encoding="utf8") as f:
        f.write("<!DOCTYPE HTML>")
        f.write('<head><meta charset="UTF-8"></head>')
        f.write("<body>")
        f.write(text)
        f.write("</body>")


def resize_image(image_path, size):
    try:
        image_np = cv2.imread(image_path)
        # print(image_np.shape)
        width = image_np.shape[1]
        height = image_np.shape[0]
        h_w_rate = height / width

        # width_standard = 900
        # height_standard = 1400

        width_standard = size[1]
        height_standard = size[0]

        width_new = int(height_standard / h_w_rate)
        height_new = int(width_standard * h_w_rate)

        if width > width_standard:
            image_np = cv2.resize(image_np, (width_standard, height_new))
        elif height > height_standard:
            image_np = cv2.resize(image_np, (width_new, height_standard))

        cv2.imwrite(image_path, image_np)
        # print("resize_image", image_np.shape)
        return
    except Exception as e:
        log("resize_image")
        print("resize_image", e, global_type)
        return


def remove_red_seal(image_np):
    """
    去除红色印章
    """
    # 获得红色通道
    blue_c, green_c, red_c = cv2.split(image_np)

    # 多传入一个参数cv2.THRESH_OTSU，并且把阈值thresh设为0，算法会找到最优阈值
    thresh, ret = cv2.threshold(red_c, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
    # print("remove_red_seal thresh", thresh)

    # 实测调整为95%效果好一些
    filter_condition = int(thresh * 0.98)
    thresh1, red_thresh = cv2.threshold(red_c, filter_condition, 255, cv2.THRESH_BINARY)

    # 把图片转回 3 通道
    image_and = np.expand_dims(red_thresh, axis=2)
    image_and = np.concatenate((image_and, image_and, image_and), axis=-1)
    # print(image_and.shape)

    # 膨胀
    gray = cv2.cvtColor(image_and, cv2.COLOR_RGB2GRAY)
    kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (2, 2))
    erode = cv2.erode(gray, kernel)
    cv2.imshow("erode", erode)
    cv2.waitKey(0)

    image_and = np.bitwise_and(cv2.bitwise_not(blue_c), cv2.bitwise_not(erode))
    result_img = cv2.bitwise_not(image_and)

    cv2.imshow("remove_red_seal", result_img)
    cv2.waitKey(0)
    return result_img


def remove_underline(image_np):
    """
    去除文字下划线
    """
    # 灰度化
    gray = cv2.cvtColor(image_np, cv2.COLOR_BGR2GRAY)
    # 二值化
    binary = cv2.adaptiveThreshold(~gray, 255,
                                   cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY,
                                   15, 10)

    # Sobel
    kernel_row = np.array([[-1, -2, -1], [0, 0, 0], [1, 2, 1]], np.float32)
    kernel_col = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]], np.float32)

    # binary = cv2.filter2D(binary, -1, kernel=kernel)
    binary_row = cv2.filter2D(binary, -1, kernel=kernel_row)
    binary_col = cv2.filter2D(binary, -1, kernel=kernel_col)
    cv2.imshow("custom_blur_demo", binary)
    cv2.waitKey(0)

    rows, cols = binary.shape
    # 识别横线
    scale = 5
    kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (cols // scale, 1))
    erodedcol = cv2.erode(binary_row, kernel, iterations=1)
    cv2.imshow("Eroded Image", erodedcol)
    cv2.waitKey(0)
    dilatedcol = cv2.dilate(erodedcol, kernel, iterations=1)
    cv2.imshow("dilate Image", dilatedcol)
    cv2.waitKey(0)
    return


def getMDFFromFile(path):
    _length = 0
    try:
        _md5 = hashlib.md5()
        with open(path, "rb") as ff:
            while True:
                data = ff.read(4096)
                if not data:
                    break
                _length += len(data)
                _md5.update(data)
        return _md5.hexdigest(), _length
    except Exception as e:
        traceback.print_exc()
        return None, _length


def add_html_format(text_list):
    new_text_list = []
    for t in text_list:
        html_t = "<!DOCTYPE HTML>\n"
        html_t += '<head><meta charset="UTF-8"></head>\n'
        html_t += "<body>\n"
        html_t += t
        html_t += "\n</body>\n"
        new_text_list.append(html_t)
    return new_text_list


if get_platform() == "Windows":
    globals().update({"time_out": 1000})
else:
    globals().update({"time_out": 300})


# @timeout_decorator.timeout(100, timeout_exception=TimeoutError)
# @timeout(globals().get("time_out"), timeout_exception=TimeoutError, use_signals=False)
def unique_temp_file_process(stream, _type, _md5):
    if get_platform() == "Windows":
        _global._init()

    globals().update({"md5": _md5})
    _global.update({"md5": _md5})
    log("into unique_temp_file_process")
    try:
        # 每个调用在temp中创建一个唯一空间
        uid1 = uuid.uuid1().hex
        unique_space_path = _path + os.sep + "temp" + os.sep + uid1 + os.sep
        # unique_space_path = "/mnt/fangjiasheng/" + "temp/" + uid1 + "/"
        # 判断冲突
        if not os.path.exists(unique_space_path):
            if not os.path.exists(_path + os.sep + "temp"):
                os.mkdir(_path + os.sep + "temp" + os.sep)
            os.mkdir(unique_space_path)
        else:
            uid2 = uuid.uuid1().hex
            if not os.path.exists(_path + os.sep + "temp"):
                os.mkdir(_path + os.sep + "temp" + os.sep)
            os.mkdir(_path + os.sep + "temp" + os.sep + uid2 + os.sep)
            # os.mkdir("/mnt/" + "temp/" + uid2 + "/")
        # 在唯一空间中，对传入的文件也保存为唯一
        uid3 = uuid.uuid1().hex
        file_path = unique_space_path + uid3 + "." + _type
        with open(file_path, "wb") as ff:
            ff.write(stream)

        text = getText(_type, file_path)

        # 获取swf转换的图片
        swf_images = []
        if _type == "swf":
            image_name_list = []
            for root, dirs, files in os.walk(unique_space_path, topdown=False):
                for name in files:
                    if name[-4:] == ".png" and "resize" not in name:
                        image_name_list.append(name)

            image_name_list.sort(key=lambda x: x)
            for name in image_name_list:
                with open(os.path.join(unique_space_path, name), "rb") as f:
                    img_bytes = f.read()
                swf_images.append(base64.b64encode(img_bytes))
            log("unique_temp_file_process len(swf_images) " + str(len(swf_images)))

        return text, swf_images
    except TimeoutError:
        return [-5], []
    except Exception as e:
        log("unique_temp_file_process failed!")
        traceback.print_exc()
        return [-1], []
    finally:
        print("======================================")
        try:
            if get_platform() == "Linux":
                # log("not delete temp file")
                # 删除该唯一空间下所有文件
                if os.path.exists(unique_space_path):
                    shutil.rmtree(unique_space_path)
        except Exception as e:
            log("Delete Files Failed!")


def cut_str(text_list, only_text_list, max_bytes_length=2000000):
    log("into cut_str")
    try:
        # 计算有格式总字节数
        bytes_length = 0
        for text in text_list:
            bytes_length += len(bytes(text, encoding='utf-8'))

        # print("text_list", bytes_length)

        # 小于直接返回
        if bytes_length < max_bytes_length:
            print("return text_list no cut")
            return text_list

        # 全部文件连接，重新计算无格式字节数
        all_text = ""
        bytes_length = 0
        for text in only_text_list:
            bytes_length += len(bytes(text, encoding='utf-8'))
            all_text += text

        # print("only_text_list", bytes_length)
        # 小于直接返回
        if bytes_length < max_bytes_length:
            print("return only_text_list no cut")
            return only_text_list

        # 截取字符
        all_text = all_text[:int(max_bytes_length/3)]

        # print("text bytes ", len(bytes(all_text, encoding='utf-8')))
        # print("return only_text_list has cut")
        return [all_text]
    except Exception as e:
        log("cut_str " + str(e))
        return ["-1"]


@memory_decorator
def convert(data, ocr_model, otr_model):
    """
    接口返回值：
    {[str], 1}: 处理成功
    {[-1], 0}: 逻辑处理错误
    {[-2], 0}: 接口调用错误
    {[-3], 1}: 文件格式错误，无法打开
    {[-4], 0}: 各类文件调用第三方包读取超时
    {[-5], 0}: 整个转换过程超时
    {[-6], 0}: 阿里云UDF队列超时
    {[-7], 1}: 文件需密码，无法打开
    :return: {"result_html": str([]), "result_text":str([]) "is_success": int}
    """

    # 控制内存
    # soft, hard = resource.getrlimit(resource.RLIMIT_AS)
    # resource.setrlimit(resource.RLIMIT_AS, (15 * 1024 ** 3, hard))

    log("into convert")
    start_time = time.time()
    _md5 = "1000000"
    try:
        # 模型加入全局变量
        globals().update({"global_ocr_model": ocr_model})
        globals().update({"global_otr_model": otr_model})

        stream = base64.b64decode(data.get("file"))
        _type = data.get("type")

        _md5 = get_md5_from_bytes(stream)

        if get_platform() == "Windows":
            # 解除超时装饰器，直接访问原函数
            origin_unique_temp_file_process = unique_temp_file_process.__wrapped__
            text, swf_images = origin_unique_temp_file_process(stream, _type, _md5)
        else:
            # Linux 通过装饰器设置整个转换超时时间
            try:
                text, swf_images = unique_temp_file_process(stream, _type, _md5)
            except TimeoutError:
                log("convert time out! 1200 sec")
                text = [-5]
                swf_images = []

        error_code = [[-x] for x in range(1, 9)]
        still_success_code = [[-3], [-7]]
        if text in error_code:
            if text in still_success_code:
                print({"failed result": text, "is_success": 1}, time.time() - start_time)
                return {"result_html": [str(text[0])], "result_text": [str(text[0])],
                        "is_success": 1}
            else:
                print({"failed result": text, "is_success": 0}, time.time() - start_time)
                return {"result_html": [str(text[0])], "result_text": [str(text[0])],
                        "is_success": 0}

        # 结果保存result.html
        if get_platform() == "Windows":
            text_str = ""
            for t in text:
                text_str += t
            to_html("../result.html", text_str)

        # 取纯文本
        only_text = []
        for t in text:
            new_t = BeautifulSoup(t, "lxml").get_text()
            new_t = re.sub("\n", "", new_t)
            only_text.append(new_t)

        # 判断长度，过长截取
        text = cut_str(text, only_text)
        only_text = cut_str(only_text, only_text)

        if len(only_text) == 0:
            only_text = [""]

        if only_text[0] == '' and len(only_text) <= 1:
            print({"md5: ": str(_md5), "finished result": ["", 0], "is_success": 1}, time.time() - start_time)
        else:
            print("md5: " + str(_md5), {"finished result": [str(only_text)[:20], len(str(text))],
                  "is_success": 1}, time.time() - start_time)
        return {"result_html": text, "result_text": only_text, "is_success": 1}
    except Exception as e:
        print({"md5: ": str(_md5), "failed result": [-1], "is_success": 0}, time.time() - start_time)
        print("convert", traceback.print_exc())
        return {"result_html": ["-1"], "result_text": ["-1"], "is_success": 0}


# 接口配置
app = Flask(__name__)


@app.route('/convert', methods=['POST'])
def _convert():
    """
    接口返回值：
    {[str], 1}: 处理成功
    {[-1], 0}: 逻辑处理错误
    {[-2], 0}: 接口调用错误
    {[-3], 1}: 文件格式错误，无法打开
    {[-4], 0}: 各类文件调用第三方包读取超时
    {[-5], 0}: 整个转换过程超时
    {[-6], 0}: 阿里云UDF队列超时
    {[-7], 1}: 文件需密码，无法打开
    :return: {"result_html": str([]), "result_text":str([]) "is_success": int}
    """

    # log("growth start" + str(objgraph.growth()))
    # log("most_common_types start" + str(objgraph.most_common_types(20)))
    # tracemalloc.start(25)
    # snapshot = tracemalloc.take_snapshot()

    _global._init()
    _global.update({"md5": "1"+"0"*15})
    set_flask_global()
    # _global.update({"port": str(port)})

    log("into convert")
    start_time = time.time()
    _md5 = _global.get("md5")
    _type = None
    try:
        if not request.form:
            log("convert no data!")
            raise ConnectionError

        data = request.form
        stream = base64.b64decode(data.get("file"))
        _type = data.get("type")

        _md5 = get_md5_from_bytes(stream)
        _md5 = _md5[0]
        _global.update({"md5": _md5})

        if get_platform() == "Windows":
            # 解除超时装饰器，直接访问原函数
            # origin_unique_temp_file_process = unique_temp_file_process.__wrapped__
            # text, swf_images = origin_unique_temp_file_process(stream, _type)
            try:
                text, swf_images = unique_temp_file_process(stream, _type, _md5)
            except TimeoutError:
                log("convert time out! 300 sec")
                text = [-5]
                swf_images = []
        else:
            # Linux 通过装饰器设置整个转换超时时间
            try:
                text, swf_images = unique_temp_file_process(stream, _type, _md5)
            except TimeoutError:
                log("convert time out! 300 sec")
                text = [-5]
                swf_images = []

        still_success_code = [-3, -4, -7]
        if judge_error_code(text):
            if judge_error_code(text, still_success_code):
                is_success = 1
            else:
                is_success = 0
            log("md5: " + str(_md5)
                         + " finished result: " + str(text)
                         + " is_success: " + str(is_success)
                         + " " + str(time.time() - start_time))
            return json.dumps({"result_html": [str(text[0])], "result_text": [str(text[0])],
                               "is_success": is_success, "swf_images": str(swf_images)})

        # 结果保存result.html
        # if get_platform() == "Windows":
        text_str = ""
        for t in text:
            text_str += t
        to_html(os.path.dirname(os.path.abspath(__file__)) + "/../result.html", text_str)

        # 取纯文本
        only_text = []
        for t in text:
            new_t = BeautifulSoup(t, "lxml").get_text()
            new_t = re.sub("\n", "", new_t)
            only_text.append(new_t)

        # 判断长度，过长截取
        text = cut_str(text, only_text)
        only_text = cut_str(only_text, only_text)

        if len(only_text) == 0:
            only_text = [""]

        if only_text[0] == '' and len(only_text) <= 1:
            print({"finished result": ["", 0], "is_success": 1}, time.time() - start_time)
            log("md5: " + str(_md5) + " "
                + " finished result: ['', 0] is_success: 1 "
                + str(_type) + " "
                + str(time.time() - start_time))
        else:
            log("md5: " + str(_md5) +
                " finished result: " + str(only_text)[:20] + " "
                + str(len(str(text))) + " is_success: 1 "
                + str(_type) + " "
                + str(time.time() - start_time))

        # log("growth end" + str(objgraph.growth()))
        # log("most_common_types end" + str(objgraph.most_common_types(20)))
        return json.dumps({"result_html": text, "result_text": only_text,
                           "is_success": 1, "swf_images": str(swf_images)})

    except ConnectionError:
        log("convert post has no data!" + " failed result: [-2] is_success: 0 " +
            str(time.time() - start_time))
        return json.dumps({"result_html": ["-2"], "result_text": ["-2"],
                           "is_success": 0, "swf_images": str([])})
    except Exception as e:
        log("md5: " + str(_md5) + " failed result: [-1] is_success: 0 "
            + str(_type) + " " +
            str(time.time() - start_time))
        traceback.print_exc()
        return json.dumps({"result_html": ["-1"], "result_text": ["-1"],
                           "is_success": 0, "swf_images": str([])})
    finally:
        # _global._del()
        # gc.collect()
        log("finally")
        # snapshot1 = tracemalloc.take_snapshot()
        # top_stats = snapshot1.compare_to(snapshot, 'lineno')
        # log("[ Top 20 differences ]")
        # for stat in top_stats[:20]:
        #     if stat.size_diff < 0:
        #         continue
        #     log(stat)
        # gth = objgraph.growth(limit=10)
        # for gt in gth:
        #     log("growth type:%s, count:%s, growth:%s" % (gt[0], gt[1], gt[2]))
        #     # if gt[2] > 100 or gt[1] > 300:
        #     #     continue
        #     if gt[2] < 5:
        #         continue
        #     _p = os.path.dirname(os.path.abspath(__file__))
        #     objgraph.show_backrefs(objgraph.by_type(gt[0])[0], max_depth=10, too_many=5,
        #                            filename=_p + "/dots/%s_%s_backrefs.dot" % (_md5, gt[0]))
        #     objgraph.show_refs(objgraph.by_type(gt[0])[0], max_depth=10, too_many=5,
        #                        filename=_p + "/dots/%s_%s_refs.dot" % (_md5, gt[0]))
        #     objgraph.show_chain(
        #         objgraph.find_backref_chain(objgraph.by_type(gt[0])[0], objgraph.is_proper_module),
        #         filename=_p + "/dots/%s_%s_chain.dot" % (_md5, gt[0])
        #     )


def test_more(_dir, process_no=None):
    file_path_list = []
    for root, dirs, files in os.walk(_dir, topdown=False):
        for name in files:
            file_path_list.append(os.path.join(root, name))

    start_time = time.time()
    i = 0
    for p in file_path_list:
        if i % 10 == 0:
            if process_no is not None:
                print("Process", process_no, i, time.time()-start_time)
            else:
                print("Loop", i, time.time()-start_time)
        test_one(p, from_remote=True)
        i += 1


def test_one(p, from_remote=False):
    with open(p, "rb") as f:
        file_bytes = f.read()
    file_base64 = base64.b64encode(file_bytes)

    data = {"file": file_base64, "type": p.split(".")[-1], "filemd5": 100}
    if from_remote:
        ocr_model = None
        otr_model = None
        _url = 'http://127.0.0.1:15010/convert'
        # _url = 'http://192.168.2.102:15010/convert'
        # _url = 'http://172.16.160.65:15010/convert'
        result = json.loads(request_post(_url, data, time_out=10000))

        if p.split(".")[-1] == "swf":
            swf_images = eval(result.get("swf_images"))
            print(type(swf_images))
            # for img in swf_images:
            #     img_bytes = base64.b64decode(img)
            #     img = cv2.imdecode(np.frombuffer(img_bytes, np.uint8), cv2.IMREAD_COLOR)
            #     cv2.imshow("swf_images", img)
            #     cv2.waitKey(0)

    else:
        ocr_model = ocr_interface.OcrModels().get_model()
        otr_model = otr_interface.OtrModels().get_model()
        result = convert(data, ocr_model, otr_model)

    print("result_text", result.get("result_text")[0][:20])
    print("is_success", result.get("is_success"))


def test_duplicate(path_list, process_no=None):
    start_time = time.time()
    for i in range(500):
        if i % 10 == 0:
            if process_no is not None:
                print("Process", process_no, i*len(path_list), time.time()-start_time)
            else:
                print("Loop", i*len(path_list), time.time()-start_time)
        for p in path_list:
            test_one(p, from_remote=True)


global_type = ""
local_url = "http://127.0.0.1"
if get_platform() == "Windows":
    _path = os.path.abspath(os.path.dirname(__file__))
else:
    _path = "/home/admin"
    if not os.path.exists(_path):
        _path = os.path.dirname(os.path.abspath(__file__))


if __name__ == '__main__':
    # convert interface
    if len(sys.argv) == 2:
        port = int(sys.argv[1])
    else:
        port = 15010

    globals().update({"md5": "1"+"0"*15})
    globals().update({"port": str(port)})
    _global._init()
    _global.update({"md5": "1"+"0"*15})
    _global.update({"port": str(port)})

    ip = get_intranet_ip()
    log("my ip"+str(ip))
    ip_port_dict = get_ip_port()
    ip = "http://" + ip
    processes = ip_port_dict.get(ip).get("convert_processes")

    set_flask_global()

    if get_platform() == "Windows":
        app.run(host='0.0.0.0', port=port, processes=1, threaded=False, debug=False)
    else:
        # app.run(host='0.0.0.0', port=port, processes=processes, threaded=False, debug=False)
        app.run(port=15011)

    # if get_platform() == "Windows":
    #     # file_path = "C:/Users/Administrator/Desktop/error7.jpg"
    #     # file_path = "D:/BIDI_DOC/比地_文档/2022/Test_Interface/20210609202634853485.xlsx"
    #     # file_path = "D:/BIDI_DOC/比地_文档/2022/Test_ODPS/1624325845476.pdf"
    #     file_path = "C:/Users/Administrator/Downloads/1650967920520.pdf"
    # else:
    #     file_path = "test1.doc"
    # test_one(file_path, from_remote=True)

    # if get_platform() == "Windows":
    #     file_dir = "D:/BIDI_DOC/比地_文档/table_images/"
    # else:
    #     file_dir = "../table_images/"
    #
    # for j in range(10):
    #     p = Process(target=test_more, args=(file_dir, j, ))
    #     p.start()
    # p.join()

    # if get_platform() == "Windows":
    #     # file_path_list = ["D:/BIDI_DOC/比地_文档/2022/Test_Interface/1623328459080.doc",
    #     #                   "D:/BIDI_DOC/比地_文档/2022/Test_Interface/94961e1987d1090e.xls",
    #     #                   "D:/BIDI_DOC/比地_文档/2022/Test_Interface/11111111.rar"]
    #     file_path_list = ["D:/BIDI_DOC/比地_文档/2022/Test_Interface/1623328459080.doc",
    #                       "D:/BIDI_DOC/比地_文档/2022/Test_Interface/94961e1987d1090e.xls"]
    #     # file_path_list = ["D:/BIDI_DOC/比地_文档/2022/Test_Interface/1623328459080.doc"]
    #
    # else:
    #     file_path_list = ["test1.pdf"]
    # for j in range(10):
    #     p = Process(target=test_duplicate, args=(file_path_list, j, ))
    #     p.start()
    # p.join()