# -*- coding:utf-8 -*-
import argparse
import copy
import hashlib
import inspect
import json
import os
import socket
import subprocess
import sys
from io import BytesIO
from subprocess import Popen

import cv2
import requests
from PIL import Image

sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../")
import difflib
import logging
import mimetypes
import platform
import re
import traceback
import filetype
from bs4 import BeautifulSoup
import yaml
from pdfminer.layout import *
from format_convert import _global
from functools import wraps
import psutil
import time
import numpy as np
from format_convert.judge_platform import get_platform
if get_platform() == "Linux":
    import resource
import math


def judge_error_code(_list, code=[0, -1, -2, -3, -4, -5, -6, -7, -8, -9, -10, -11]):
    """
    [0] : continue
    [-1]: 逻辑处理错误
    [-2]: 接口调用错误
    [-3]: 文件格式错误，无法打开
    [-4]: 各类文件调用第三方包读取超时
    [-5]: 整个转换过程超时
    [-6]: 阿里云UDF队列超时
    [-7]: 文件需密码，无法打开
    [-8]: 调用现成接口报错
    [-9]: 接口接收数据为空
    """
    for c in code:
        if _list == [c]:
            return True
    return False


def add_div(text):
    if text == "" or text is None:
        return text

    # if get_platform() == "Windows":
    #     print("add_div", text)
    if re.findall("<div>", text):
        return text

    text = "<div>" + text + "\n"
    text = re.sub("\n", "</div><div>", text)
    # text += "</div>"
    if text[-5:] == "<div>":
        # print("add_div has cut", text[-30:])
        text = text[:-5]
    return text


def get_platform():
    sys = platform.system()
    return sys


def get_html_p(html_path):
    log("into get_html_p")
    try:
        with open(html_path, "r") as ff:
            html_str = ff.read()

        soup = BeautifulSoup(html_str, 'lxml')
        text = ""
        for p in soup.find_all("p"):
            p_text = p.text
            p_text = p_text.strip()
            if p.string != "":
                text += p_text
        text += "\n"
        return text
    except Exception as e:
        log("get_html_p error!")
        return [-1]


def string_similarity(str1, str2):
    # 去掉<div>和回车
    str1 = re.sub("<div>", "", str1)
    str1 = re.sub("</div>", "", str1)
    str1 = re.sub("\n", "", str1)
    str2 = re.sub("<div>", "", str2)
    str2 = re.sub("</div>", "", str2)
    str2 = re.sub("\n", "", str2)
    # print("********************************")
    # print("str1", str1)
    # print("********************************")
    # print("str2", str2)
    # print("********************************")
    score = difflib.SequenceMatcher(None, str1, str2).ratio()
    print("string_similarity", score)
    return score


def get_sequential_data(text_list, bbox_list, html=False):
    logging.info("into get_sequential_data")
    try:
        text = ""
        order_list = []
        for i in range(len(text_list)):
            length_start = bbox_list[i][0][0]
            length_end = bbox_list[i][1][0]
            height_start = bbox_list[i][0][1]
            height_end = bbox_list[i][-1][1]
            # print([length_start, length_end, height_start, height_end])
            order_list.append([text_list[i], length_start, length_end, height_start, height_end])
            # text = text + infomation['text'] + "\n"

        if get_platform() == "Windows":
            print("get_sequential_data", order_list)
        if not order_list:
            if get_platform() == "Windows":
                print("get_sequential_data", "no order list")
            return ""

        # 根据bbox的坐标对输出排序
        order_list.sort(key=lambda x: (x[3], x[1], x[0]))

        # 根据bbox分行分列
        # col_list = []
        # height_end = int((order_list[0][4] + order_list[0][3]) / 2)
        # for i in range(len(order_list)):
        #     if height_end - threshold <= order_list[i][3] <= height_end + threshold:
        #         col_list.append(order_list[i])
        #     else:
        #         row_list.append(col_list)
        #         col_list = []
        #         height_end = int((order_list[i][4] + order_list[i][3]) / 2)
        #         col_list.append(order_list[i])
        #     if i == len(order_list) - 1:
        #         row_list.append(col_list)

        row_list = []
        used_box = []
        threshold = 5
        for box in order_list:
            if box in used_box:
                continue

            height_center = (box[4] + box[3]) / 2
            row = []
            for box2 in order_list:
                if box2 in used_box:
                    continue
                height_center2 = (box2[4] + box2[3]) / 2
                if height_center - threshold <= height_center2 <= height_center + threshold:
                    if box2 not in row:
                        row.append(box2)
                        used_box.append(box2)
            row.sort(key=lambda x: x[0])
            row_list.append(row)

        for row in row_list:
            if not row:
                continue
            if len(row) <= 1:
                text = text + row[0][0] + "\n"
            else:
                sub_text = ""
                row.sort(key=lambda x: x[1])
                for col in row:
                    sub_text = sub_text + col[0] + " "
                sub_text = sub_text + "\n"
                text += sub_text

        if html:
            text = "<div>" + text
            text = re.sub("\n", "</div>\n<div>", text)
            text += "</div>"
            # if text[-5:] == "<div>":
            #     text = text[:-5]
        return text

    except Exception as e:
        logging.info("get_sequential_data error!")
        print("get_sequential_data", traceback.print_exc())
        return [-1]


# def get_formatted_table(text_list, text_bbox_list, table_bbox_list, split_line):
#     logging.info("into get_formatted_table")
#     try:
#         # 重新定义text_bbox_list，[point, point, text]
#         text_bbox_list = [[text_bbox_list[i][0], text_bbox_list[i][2], text_list[i]] for i in
#                           range(len(text_bbox_list))]
#         # 按纵坐标排序
#         text_bbox_list.sort(key=lambda x: (x[0][1], x[0][0]))
#         table_bbox_list.sort(key=lambda x: (x[0][1], x[0][0]))
#
#         # print("text_bbox_list", text_bbox_list)
#         # print("table_bbox_list", table_bbox_list)
#
#         # bbox位置 threshold
#         threshold = 5
#
#         # 根据split_line分区，可能有个区多个表格 [(), ()]
#         area_text_bbox_list = []
#         area_table_bbox_list = []
#         # print("get_formatted_table, split_line", split_line)
#         for j in range(1, len(split_line)):
#             last_y = split_line[j - 1][0][1]
#             current_y = split_line[j][0][1]
#             temp_text_bbox_list = []
#             temp_table_bbox_list = []
#
#             # 找出该区域下text bbox
#             for text_bbox in text_bbox_list:
#                 # 计算 text bbox 中心点
#                 text_bbox_center = ((text_bbox[1][0] + text_bbox[0][0]) / 2,
#                                     (text_bbox[1][1] + text_bbox[0][1]) / 2)
#                 if last_y - threshold <= text_bbox_center[1] <= current_y + threshold:
#                     temp_text_bbox_list.append(text_bbox)
#             area_text_bbox_list.append(temp_text_bbox_list)
#
#             # 找出该区域下table bbox
#             for table_bbox in table_bbox_list:
#                 # 计算 table bbox 中心点
#                 table_bbox_center = ((table_bbox[1][0] + table_bbox[0][0]) / 2,
#                                      (table_bbox[1][1] + table_bbox[0][1]) / 2)
#                 if last_y < table_bbox_center[1] < current_y:
#                     temp_table_bbox_list.append(table_bbox)
#             area_table_bbox_list.append(temp_table_bbox_list)
#
#         # for j in range(len(area_text_bbox_list)):
#         #     print("area_text_bbox_list", j, area_text_bbox_list[j])
#
#         # 对每个区域分别进行两个bbox匹配，生成表格
#         area_text_list = []
#         area_column_list = []
#         for j in range(len(area_text_bbox_list)):
#             # 每个区域的table bbox 和text bbox
#             temp_table_bbox_list = area_table_bbox_list[j]
#             temp_text_bbox_list = area_text_bbox_list[j]
#
#             # 判断该区域有无表格bbox
#             # 若无表格，将该区域文字连接
#             if not temp_table_bbox_list:
#                 # 找出该区域的所有text bbox
#                 only_text_list = []
#                 only_bbox_list = []
#                 for text_bbox in temp_text_bbox_list:
#                     only_text_list.append(text_bbox[2])
#                     only_bbox_list.append([text_bbox[0], text_bbox[1]])
#                 only_text = get_sequential_data(only_text_list, only_bbox_list, True)
#                 if only_text == [-1]:
#                     return [-1], [-1]
#                 area_text_list.append(only_text)
#                 area_column_list.append(0)
#                 continue
#
#             # 有表格
#             # 文本对应的表格格子
#             text_in_table = {}
#             for i in range(len(temp_text_bbox_list)):
#                 text_bbox = temp_text_bbox_list[i]
#
#                 # 计算 text bbox 中心点
#                 text_bbox_center = ((text_bbox[1][0] + text_bbox[0][0]) / 2,
#                                     (text_bbox[1][1] + text_bbox[0][1]) / 2)
#
#                 # 判断中心点在哪个table bbox中
#                 for table_bbox in temp_table_bbox_list:
#                     # 中心点在table bbox中，将text写入字典
#                     if table_bbox[0][0] <= text_bbox_center[0] <= table_bbox[1][0] and \
#                             table_bbox[0][1] <= text_bbox_center[1] <= table_bbox[1][1]:
#                         if str(table_bbox) in text_in_table.keys():
#                             text_in_table[str(table_bbox)] = text_in_table.get(str(table_bbox)) + text_bbox[2]
#                         else:
#                             text_in_table[str(table_bbox)] = text_bbox[2]
#                         break
#
#                     # 如果未找到text bbox匹配的table bbox，加大threshold匹配
#                     # elif (table_bbox[0][0] <= text_bbox_center[0]+threshold <= table_bbox[1][0] and
#                     #         table_bbox[0][1] <= text_bbox_center[1]+threshold <= table_bbox[1][1]) or \
#                     #         (table_bbox[0][0] <= text_bbox_center[0]-threshold <= table_bbox[1][0] and
#                     #          table_bbox[0][1] <= text_bbox_center[1]-threshold <= table_bbox[1][1]) or \
#                     #         (table_bbox[0][0] <= text_bbox_center[0]+threshold <= table_bbox[1][0] and
#                     #          table_bbox[0][1] <= text_bbox_center[1]-threshold <= table_bbox[1][1]) or \
#                     #         (table_bbox[0][0] <= text_bbox_center[0]-threshold <= table_bbox[1][0] and
#                     #          table_bbox[0][1] <= text_bbox_center[1]+threshold <= table_bbox[1][1]):
#                     #     if str(table_bbox) in text_in_table.keys():
#                     #         text_in_table[str(table_bbox)] = text_in_table.get(str(table_bbox)) + text_bbox[2]
#                     #     else:
#                     #         text_in_table[str(table_bbox)] = text_bbox[2]
#                     #     break
#
#             # 对表格格子进行分行分列，并计算总计多少小列
#             # 放入坐标
#             all_col_list = []
#             all_row_list = []
#             for i in range(len(temp_table_bbox_list)):
#                 table_bbox = temp_table_bbox_list[i]
#
#                 # 放入所有坐标x
#                 if table_bbox[0][0] not in all_col_list:
#                     all_col_list.append(table_bbox[0][0])
#                 if table_bbox[1][0] not in all_col_list:
#                     all_col_list.append(table_bbox[1][0])
#
#                 # 放入所有坐标y
#                 if table_bbox[0][1] not in all_row_list:
#                     all_row_list.append(table_bbox[0][1])
#                 if table_bbox[1][1] not in all_row_list:
#                     all_row_list.append(table_bbox[1][1])
#             all_col_list.sort(key=lambda x: x)
#             all_row_list.sort(key=lambda x: x)
#
#             # 分行
#             row_list = []
#             rows = []
#             temp_table_bbox_list.sort(key=lambda x: (x[0][1], x[0][0], x[1][1], x[1][0]))
#             y_row = temp_table_bbox_list[0][0][1]
#             for i in range(len(temp_table_bbox_list)):
#                 table_bbox = temp_table_bbox_list[i]
#
#                 if y_row - threshold <= table_bbox[0][1] <= y_row + threshold:
#                     rows.append(table_bbox)
#                 else:
#                     y_row = table_bbox[0][1]
#                     if rows:
#                         rows.sort(key=lambda x: x[0][0])
#                         row_list.append(rows)
#                     rows = []
#                     rows.append(table_bbox)
#                 # print("*" * 30)
#                 # print(row_list)
#
#                 if i == len(temp_table_bbox_list) - 1:
#                     if rows:
#                         rows.sort(key=lambda x: x[0][0])
#                         row_list.append(rows)
#
#             # 生成表格，包括文字和格子宽度
#             area_column = []
#             text = '<table border="1">' + "\n"
#             for row in row_list:
#                 text += "<tr>" + "\n"
#                 for col in row:
#                     # 计算bbox y坐标之间有多少其他点，+1即为所占行数
#                     row_span = 1
#                     for y in all_row_list:
#                         if col[0][1] < y < col[1][1]:
#                             if y - col[0][1] >= 2 and col[1][1] - y >= 2:
#                                 row_span += 1
#
#                     # 计算bbox x坐标之间有多少其他点，+1即为所占列数
#                     col_span = 1
#                     for x in all_col_list:
#                         if col[0][0] < x < col[1][0]:
#                             if x - col[0][0] >= 2 and col[1][0] - x >= 2:
#                                 col_span += 1
#
#                     text += "<td colspan=" + str(col_span) + " rowspan=" + str(row_span) + ">"
#
#                     if str(col) in text_in_table.keys():
#                         text += text_in_table.get(str(col))
#                     else:
#                         text += ""
#                     text += "</td>" + "\n"
#                 text += "</tr>" + "\n"
#             text += "</table>" + "\n"
#
#             # 计算最大column
#             max_col_num = 0
#             for row in row_list:
#                 col_num = 0
#                 for col in row:
#                     col_num += 1
#                 if max_col_num < col_num:
#                     max_col_num = col_num
#
#             area_text_list.append(text)
#             area_column_list.append(max_col_num)
#
#         text = ""
#         if get_platform() == "Windows":
#             print("get_formatted_table area_text_list", area_text_list)
#         for area_text in area_text_list:
#             text += area_text
#         return text, area_column_list
#     except Exception as e:
#         logging.info("get_formatted_table error!")
#         print("get_formatted_table", traceback.print_exc())
#         return [-1], [-1]


def rename_inner_files(root_path):
    try:
        logging.info("into rename_inner_files")
        # 获取解压文件夹下所有文件+文件夹，不带根路径
        path_list = []
        for root, dirs, files in os.walk(root_path, topdown=False):
            for name in dirs:
                p = os.path.join(root, name) + os.sep
                if get_platform() == "Windows":
                    root_path = slash_replace(root_path)
                    p = slash_replace(p)
                    p = re.sub(root_path, "", p)
                    root_path = slash_replace(root_path, True)
                    p = slash_replace(p, True)
                else:
                    p = re.sub(root_path, "", p)
                path_list.append(p)
            for name in files:
                p = os.path.join(root, name)
                if get_platform() == "Windows":
                    root_path = slash_replace(root_path)
                    p = slash_replace(p)
                    p = re.sub(root_path, "", p)
                    root_path = slash_replace(root_path, True)
                    p = slash_replace(p, True)
                else:
                    p = re.sub(root_path, "", p)
                path_list.append(p)

        # 按路径长度排序
        path_list.sort(key=lambda x: len(x), reverse=True)

        # 循环改名
        for old_path in path_list:
            # 按路径分隔符分割
            ss = old_path.split(os.sep)
            # 判断是否文件夹
            is_dir = 0
            file_type = ""
            if os.path.isdir(root_path + old_path):
                ss = ss[:-1]
                is_dir = 1
            else:
                if "." in old_path:
                    file_type = "." + old_path.split(".")[-1]
                else:
                    file_type = ""

            # 最后一级需要用hash改名
            new_path = ""
            # new_path = re.sub(ss[-1], str(hash(ss[-1])), old_path) + file_type
            current_level = 0
            for s in ss:
                # 路径拼接
                if current_level < len(ss) - 1:
                    new_path += s + os.sep
                else:
                    new_path += str(hash(s)) + file_type
                current_level += 1

            new_ab_path = root_path + new_path
            old_ab_path = root_path + old_path
            os.rename(old_ab_path, new_ab_path)

        # 重新获取解压文件夹下所有文件+文件夹
        new_path_list = []
        for root, dirs, files in os.walk(root_path, topdown=False):
            for name in dirs:
                new_path_list.append(os.path.join(root, name) + os.sep)
            for name in files:
                new_path_list.append(os.path.join(root, name))
        return new_path_list
    except:
        traceback.print_exc()
        return [-1]


def judge_format(path):
    guess1 = mimetypes.guess_type(path)
    _type = None
    if guess1[0]:
        _type = guess1[0]
    else:
        guess2 = filetype.guess(path)
        if guess2:
            _type = guess2.mime

    if _type == "application/pdf":
        return "pdf"
    if _type == "application/vnd.openxmlformats-officedocument.wordprocessingml.document":
        return "docx"
    if _type == "application/x-zip-compressed" or _type == "application/zip":
        return "zip"
    if _type == "application/x-rar-compressed" or _type == "application/rar":
        return "rar"
    if _type == "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet":
        return "xlsx"
    if _type == "application/msword":
        return "doc"
    if _type == "image/png":
        return "png"
    if _type == "image/jpeg":
        return "jpg"

    # 猜不到，返回None
    return None

def draw_lines_plt(bboxes):
    import matplotlib.pyplot as plt
    plt.figure()
    for bbox in bboxes:
        x = [bbox[0],bbox[2]]
        y = [bbox[1],bbox[3]]
        plt.plot(x,y)
    plt.show()

def slash_replace(_str, reverse=False):
    if reverse:
        _str = eval(repr(_str).replace('/', '\\\\'))
    else:
        _str = eval(repr(_str).replace('\\\\', '/'))
    return _str


class LineTable:
    def recognize_table(self,list_textbox, list_line,sourceP_LB=True):
        self.list_line = list_line
        self.list_crosspoints = self.recognize_crosspoints(list_line)

        # 聚类
        cluster_crosspoints = []
        for _point in self.list_crosspoints:
            cluster_crosspoints.append({"lines": _point.get("lines"), "points": [_point]})
        while 1:
            _find = False
            new_cluster_crosspoints = []
            for l_point in cluster_crosspoints:
                _flag = False
                for l_n_point in new_cluster_crosspoints:
                    line1 = l_point.get("lines")
                    line2 = l_n_point.get("lines")
                    if len(line1&line2) > 0:
                        _find = True
                        _flag = True
                        l_n_point["lines"] = line1.union(line2)
                        l_n_point["points"].extend(l_point["points"])
                if not _flag:
                    new_cluster_crosspoints.append({"lines":l_point.get("lines"),"points":l_point.get("points")})
            cluster_crosspoints = new_cluster_crosspoints
            if not _find:
                break

        #need to sort to deal with the inner tables
        for clu_cp in cluster_crosspoints:
            points = clu_cp["points"]
            list_p = np.array([p["point"] for p in points])
            max_x = max(list_p[...,0])
            min_x = min(list_p[...,0])
            max_y = max(list_p[...,1])
            min_y = min(list_p[...,1])
            _area = (max_y-min_y)*(max_x-min_x)
            clu_cp["area"] = _area
        cluster_crosspoints.sort(key=lambda x:x["area"])


        list_l_rect = []
        for table_crosspoint in cluster_crosspoints:
            list_rect = self.crosspoint2rect(table_crosspoint.get("points"))
            list_l_rect.append(list_rect)

        in_objs = set()
        list_tables = []
        for l_rect in list_l_rect:
            _ta = self.rect2table(list_textbox,l_rect,in_objs,sourceP_LB=sourceP_LB)
            if _ta:
                list_tables.append(_ta)
        #展示表格及文字
        # self._plot(list_line, list_textbox)
        return list_tables, in_objs, list_l_rect

    def recognize_table_by_rect(self, list_textbox, list_rect, margin=2):

        dump_margin = 5
        list_rect_tmp = []
        # 去重
        for _rect in list_rect:
            if (_rect.bbox[3]-_rect.bbox[1] < 10) or (abs(_rect.bbox[2]-_rect.bbox[0]) < 5):
                continue
            _find = False
            for _tmp in list_rect_tmp:
                for i in range(4):
                    if abs(_rect.bbox[i]-_tmp.bbox[i]) < dump_margin:
                        pass
                    else:
                        _find = False
                        break
                    if i == 3:
                        _find = True
                if _find:
                    break
            if not _find:
                list_rect_tmp.append(_rect)

        # print("=====",len(list_rect),len(list_rect_tmp))
        # print(list_rect_tmp)
        # from matplotlib import pyplot as plt
        # plt.figure()
        # for _rect in list_rect_tmp:
        #     x0,y0,x1,y1 = _rect.bbox
        #     plt.boxplot(_rect.bbox)
        # plt.show()

        cluster_rect = []
        for _rect in list_rect:
            _find = False
            for cr in cluster_rect:
                for cr_rect in cr:
                    if abs((cr_rect.bbox[2]-cr_rect.bbox[0]+_rect.bbox[2]-_rect.bbox[0])-(max(cr_rect.bbox[2],_rect.bbox[2])-min(cr_rect.bbox[0],_rect.bbox[0])))<margin:
                        _find = True
                        cr.append(_rect)
                        break
                    elif abs((cr_rect.bbox[3]-cr_rect.bbox[1]+_rect.bbox[3]-_rect.bbox[1])-(max(cr_rect.bbox[3],_rect.bbox[3])-min(cr_rect.bbox[1],_rect.bbox[1])))<margin:
                        _find = True
                        cr.append(_rect)
                        break
                if _find:
                    break
            if not _find:
                cluster_rect.append([_rect])

        list_l_rect = cluster_rect

        in_objs = set()
        list_tables = []
        for l_rect in list_l_rect:
            _ta = self.rect2table(list_textbox,l_rect,in_objs)
            if _ta:
                list_tables.append(_ta)
        return list_tables,in_objs,list_l_rect

    def recognize_crosspoints(self, list_line,fixLine=True):

        list_crosspoints = []
        # print("lines num",len(list_line))

        def getMaxPoints(list_x,margin=5,reverse=False):
            clust_x = []
            for _x in list_x:
                _find = False
                for cx in clust_x:
                    if abs(cx[0]-_x)<margin:
                        _find = True
                        cx.append(_x)
                        break
                if not _find:
                    clust_x.append([_x])
            clust_x.sort(key=lambda x:x,reverse=reverse)
            return clust_x[0][0],len(clust_x[0])

        for _i in range(len(list_line)):
            for _j in range(len(list_line)):
                line1 = list_line[_i].__dict__.get("bbox")
                line2 = list_line[_j].__dict__.get("bbox")
                exists,point = self.cross_point(line1,line2)
                if exists:
                    list_crosspoints.append(point)


        if fixLine:
            #聚类
            cluster_crosspoints = []
            for _point in list_crosspoints:
                cluster_crosspoints.append({"lines":_point.get("lines"),"points":[_point]})
            while 1:
                _find = False
                new_cluster_crosspoints = []
                for l_point in cluster_crosspoints:
                    _flag = False
                    for l_n_point in new_cluster_crosspoints:
                        line1 = l_point.get("lines")
                        line2 = l_n_point.get("lines")
                        if len(line1&line2)>0:
                            _find = True
                            _flag = True
                            l_n_point["lines"] = line1.union(line2)
                            l_n_point["points"].extend(l_point["points"])

                    if not _flag:
                        new_cluster_crosspoints.append({"lines":l_point.get("lines"),"points":l_point.get("points")})
                cluster_crosspoints = new_cluster_crosspoints
                if not _find:
                    break

            list_crosspoints = []

            for list_cp in cluster_crosspoints:
                points = list_cp.get("points")

                l_lines = []
                for p in points:
                    l_lines.extend(p.get("p_lines"))
                l_lines = list(set(l_lines))
                l_lines.sort(key=lambda x:x[0])

                min_x,_count = getMaxPoints([l[0] for l in l_lines],reverse=False)
                if _count<=2:
                    min_x = None


                min_y,_count = getMaxPoints([l[1] for l in l_lines],reverse=False)
                if _count<2:
                    min_y = None


                max_x,_count = getMaxPoints([l[2] for l in l_lines],reverse=True)
                if _count<=2:
                    max_x = None


                max_y,_count = getMaxPoints([l[3] for l in l_lines],reverse=True)
                if _count<=2:
                    max_y = None
                if min_x and min_y and max_x and max_y:

                    points.sort(key=lambda x:x["point"][0])
                    if abs(min_x-points[0]["point"][0])>30:
                        _line = LTLine(1,(min_x,min_y),(min_x,max_y))
                        list_line.append(_line)
                        l_lines.append(_line.bbox)
                        # print("add=====",_line.bbox)


                    if abs(max_x-points[-1]["point"][0])>30:
                        _line = LTLine(1,(max_x,min_y),(max_x,max_y))
                        list_line.append(_line)
                        l_lines.append(_line.bbox)
                        # print("add=====1",_line.bbox)

                    points.sort(key=lambda x:x["point"][1])
                    if abs(min_y-points[0]["point"][1])>30:
                        _line = LTLine(1,(min_x,min_y),(max_x,min_y))
                        list_line.append(_line)
                        l_lines.append(_line.bbox)
                        # print("add=====2",_line.bbox)

                    if abs(max_y-points[-1]["point"][1])>30:
                        _line = LTLine(1,(min_x,max_y),(max_x,max_y))
                        list_line.append(_line)
                        l_lines.append(_line.bbox)
                        # print("add=====2",_line.bbox)



                for _i in range(len(l_lines)):
                    for _j in range(len(l_lines)):
                        line1 = l_lines[_i]
                        line2 = l_lines[_j]
                        exists,point = self.cross_point(line1,line2)
                        if exists:
                            list_crosspoints.append(point)
                # from matplotlib import pyplot as plt
                # plt.figure()
                # for _line in l_lines:
                #     x0,y0,x1,y1 = _line
                #     plt.plot([x0,x1],[y0,y1])
                # for point in list_crosspoints:
                #     plt.scatter(point.get("point")[0],point.get("point")[1])
                # plt.show()

        # print(list_crosspoints)
        # print("points num",len(list_crosspoints))
        return list_crosspoints

    def recognize_rect(self, _page):
        list_line = []
        for _obj in _page._objs:
            if isinstance(_obj, (LTLine)):
                list_line.append(_obj)
        list_crosspoints = self.recognize_crosspoints(list_line)

        #聚类
        cluster_crosspoints = []
        for _point in list_crosspoints:
            cluster_crosspoints.append({"lines":_point.get("lines"),"points":[_point]})
        while 1:
            _find = False
            new_cluster_crosspoints = []
            for l_point in cluster_crosspoints:
                _flag = False
                for l_n_point in new_cluster_crosspoints:
                    line1 = l_point.get("lines")
                    line2 = l_n_point.get("lines")
                    if len(line1&line2)>0:
                        _find = True
                        _flag = True
                        l_n_point["lines"] = line1.union(line2)
                        l_n_point["points"].extend(l_point["points"])
                if not _flag:
                    new_cluster_crosspoints.append({"lines":l_point.get("lines"),"points":l_point.get("points")})
            cluster_crosspoints = new_cluster_crosspoints
            if not _find:
                break
        # print(len(cluster_crosspoints))

        list_l_rect = []
        for table_crosspoint in cluster_crosspoints:
            list_rect = self.crosspoint2rect(table_crosspoint.get("points"))
            list_l_rect.append(list_rect)

        return list_l_rect

    def crosspoint2rect(self, list_crosspoint, margin=10):

        dict_line_points = {}
        for _point in list_crosspoint:
            lines = list(_point.get("lines"))
            for _line in lines:
                if _line not in dict_line_points:
                    dict_line_points[_line] = {"direct":None,"points":[]}
                dict_line_points[_line]["points"].append(_point)

        # 排序
        for k, v in dict_line_points.items():

            list_x = []
            list_y = []
            for _p in v["points"]:
                list_x.append(_p.get("point")[0])
                list_y.append(_p.get("point")[1])
            if max(list_x)-min(list_x)>max(list_y)-min(list_y):
                v.get("points").sort(key=lambda x:x.get("point")[0])
                v["direct"] = "row"
            else:
                v.get("points").sort(key=lambda x:x.get("point")[1])
                v["direct"] = "column"

        list_rect = []
        for _point in list_crosspoint:
            if _point["buttom"]>=margin and _point["right"]>=margin:
                lines = list(_point.get("lines"))
                _line = lines[0]
                if dict_line_points[_line]["direct"]=="column":
                    _line = lines[1]
                next_point = None
                for p1 in dict_line_points[_line]["points"]:
                    if p1["buttom"]>=margin and p1["point"][0]>_point["point"][0]:
                        next_point = p1
                        break
                if not next_point:
                    continue
                lines = list(next_point.get("lines"))
                _line = lines[0]
                if dict_line_points[_line]["direct"]=="row":
                    _line = lines[1]
                final_point = None
                for p1 in dict_line_points[_line]["points"]:
                    if p1["left"]>=margin and p1["point"][1]>next_point["point"][1]:
                        final_point = p1
                        break
                if not final_point:
                    continue
                _r = LTRect(1,(_point["point"][0],_point["point"][1],final_point["point"][0],final_point["point"][1]))
                list_rect.append(_r)

        tmp_rect = []
        set_bbox = set()
        for _r in list_rect:
            _bbox = "%.2f-%.2f-%.2f-%.2f"%_r.bbox
            width = _r.bbox[2]-_r.bbox[0]
            height = _r.bbox[3]-_r.bbox[1]
            if width<=margin or height<=margin:
                continue
            if _bbox not in set_bbox:
                tmp_rect.append(_r)
                set_bbox.add(_bbox)
        list_rect = tmp_rect


        # import cv2
        # import numpy as np
        # import random
        # img = np.zeros(shape=(1000,1000),dtype=np.uint8)
        # img += 255
        #
        # color = []
        # for rect in list_rect:
        #     color += 10
        #     x0,y0,x1,y1 = rect.bbox
        #     x0 *= 10/18
        #     y0 *= 10/18
        #     x1 *= 10/18
        #     y1 *= 10/18
        #     print(rect.bbox)
        #     cv2.rectangle(img, (int(x0),int(y0)),(int(x1),int(y1)),  (color%255, (color+10)%255, (color+20)%255), 3)
        #     cv2.imshow("bbox", img)
        #     cv2.waitKey(0)

        return list_rect

    def cross_point(self, line1, line2, segment=True, margin=2):
        point_is_exist = False
        x = y = 0
        x1, y1, x2, y2 = line1
        x3, y3, x4, y4 = line2

        if (x2 - x1) == 0:
            k1 = None
            b1 = 0
        else:
            k1 = (y2 - y1) * 1.0 / (x2 - x1)  # 计算k1,由于点均为整数，需要进行浮点数转化
            b1 = y1 * 1.0 - x1 * k1 * 1.0  # 整型转浮点型是关键

        if (x4 - x3) == 0:  # L2直线斜率不存在
            k2 = None
            b2 = 0
        else:
            k2 = (y4 - y3) * 1.0 / (x4 - x3)  # 斜率存在
            b2 = y3 * 1.0 - x3 * k2 * 1.0

        if k1 is None:
            if not k2 is None:
                x = x1
                y = k2 * x1 + b2
                point_is_exist = True
        elif k2 is None:
            x = x3
            y = k1 * x3 + b1
        elif not k2 == k1:
            x = (b2 - b1) * 1.0 / (k1 - k2)
            y = k1 * x * 1.0 + b1 * 1.0
            point_is_exist = True

        left = 0
        right = 0
        top = 0
        buttom = 0
        if point_is_exist:
            if segment:
                if x>=(min(x1,x2)-margin) and x<=(max(x1,x2)+margin) and y>=(min(y1,y2)-margin) and y<=(max(y1,y2)+margin):
                    if x>=(min(x3,x4)-margin) and x<=(max(x3,x4)+margin) and y>=(min(y3,y4)-margin) and y<=(max(y3,y4)+margin):
                        point_is_exist = True
                        left = abs(min(x1,x3)-x)
                        right = abs(max(x2,x4)-x)
                        top = abs(min(y1,y3)-y)
                        buttom = abs(max(y2,y4)-y)
                    else:
                        point_is_exist = False
                else:
                    point_is_exist = False
        line1_key = "%.2f-%.2f-%.2f-%.2f"%(x1, y1, x2, y2)
        line2_key = "%.2f-%.2f-%.2f-%.2f"%(x3, y3, x4, y4)
        return point_is_exist, {"point": [x, y], "left": left, "right": right,
                                "top": top, "buttom": buttom, "lines": set([line1_key,line2_key]),"p_lines":[line1,line2]}

    def unionTable(self, list_table, fixspan=True, margin=2):
        set_x = set()
        set_y = set()

        list_cell = []
        for _t in list_table:
            for _line in _t:
                list_cell.extend(_line)

        clusters_rects = []
        #根据y1聚类
        set_id = set()
        list_cell_dump = []
        for _cell in list_cell:
            _id = id(_cell)
            if _id in set_id:
                continue
            set_id.add(_id)
            list_cell_dump.append(_cell)
        list_cell = list_cell_dump
        list_cell.sort(key=lambda x:x.get("bbox")[3])
        for _rect in list_cell:
            _y0 = _rect.get("bbox")[3]
            _find = False
            for l_cr in clusters_rects:
                if abs(l_cr[0].get("bbox")[3]-_y0)<2:
                    _find = True
                    l_cr.append(_rect)
                    break
            if not _find:
                clusters_rects.append([_rect])

        clusters_rects.sort(key=lambda x:x[0].get("bbox")[3],reverse=True)
        for l_cr in clusters_rects:
            l_cr.sort(key=lambda x:x.get("bbox")[0])

        # print("=============:")
        # for l_r in clusters_rects:
        #     print(len(l_r))

        for _line in clusters_rects:
            for _rect in _line:
                (x0,y0,x1,y1) = _rect.get("bbox")
                set_x.add(x0)
                set_x.add(x1)
                set_y.add(y0)
                set_y.add(y1)
        if len(set_x)==0 or len(set_y)==0:
            return
        list_x = list(set_x)
        list_y = list(set_y)

        list_x.sort(key=lambda x:x)
        list_y.sort(key=lambda x:x,reverse=True)
        _table = []
        line_i = 0
        for _line in clusters_rects:

            table_line = []
            cell_i = 0
            for _rect in _line:
                (x0,y0,x1,y1) = _rect.get("bbox")
                _cell = {"bbox":(x0,y0,x1,y1),"rect":_rect.get("rect"),"rowspan":self.getspan(list_y,y0,y1,margin),"columnspan":self.getspan(list_x,x0,x1,margin),"text":_rect.get("text","")}
                table_line.append(_cell)


                cell_i += 1
            line_i += 1
            _table.append(table_line)

        # print("=====================>>")
        # for _line in _table:
        #     for _cell in _line:
        #         print(_cell,end="\t")
        #     print("\n")
        # print("=====================>>")

        # print(_table)
        if fixspan:
            for _line in _table:
                extend_line = []
                for c_i in range(len(_line)):
                    _cell = _line[c_i]
                    if _cell.get("columnspan")>1:
                        _cospan = _cell.get("columnspan")
                        _cell["columnspan"] = 1
                        for i in range(1,_cospan):
                            extend_line.append({"index":c_i+1,"cell":_cell})
                extend_line.sort(key=lambda x:x["index"],reverse=True)
                for _el in extend_line:
                    _line.insert(_el["index"],_el["cell"])
            for l_i in range(len(_table)):
                _line = _table[l_i]
                for c_i in range(len(_line)):
                    _cell = _line[c_i]
                    if _cell.get("rowspan")>1:
                        _rospan = _cell.get("rowspan")
                        _cell["rowspan"] = 1
                        for i in range(1,_rospan):
                            _table[l_i+i].insert(c_i,_cell)

        table_bbox = (_table[0][0].get("bbox")[0],_table[0][0].get("bbox")[1],_table[-1][-1].get("bbox")[2],_table[-1][-1].get("bbox")[3])

        ta = {"bbox":table_bbox,"table":_table}
        return ta

    #获取点阵
    def getSpanLocation(self,_list, x0, x1, margin):
        list_location = []
        (x0,x1) = (min(x0,x1),max(x0,x1))
        for _x in _list:
            if _x>=(x0-margin) and _x<=(x1+margin):
                list_location.append(_x)
        return list_location

    def fixSpan(self,_table,list_x,list_y,sourceP_LB):

        def checkPosition(_line,_position,bbox,margin=5):
            #check y
            if len(_line)>0:
                _bbox = _line[0].get("bbox")
                if abs(min(_bbox[1],_bbox[3])-min(bbox[1],bbox[3]))>margin or abs(max(_bbox[1],_bbox[3])-max(bbox[1],bbox[3]))>margin:
                    print("check position y false")
                    return False
            #check x
            if _position<=len(_line)-1:
                after_bbox = _line[_position].get("bbox")
                # the insert bbox.x1 should not less then the after bbox.x0
                if not (after_bbox[0]>=bbox[2]):
                    print("check position x after false")
                    return False
            if _position-1>0 and _position-1<len(_line):
                before_bbox = _line[_position-1].get("bbox")
                # the insert bbox.x1 should less equal than the first bbox.x0
                if not (bbox[0]>=before_bbox[2]):
                    print("check position x before false")
                    return False
            return True



        #拓展columnspan的数据
        for _line in _table:
            c_i = 0
            while c_i<len(_line):
                _cell = _line[c_i]

                if _cell.get("columnspan")>1:
                    x0,y0,x1,y1 = _cell.get("bbox")
                    _cospan = _cell.get("columnspan")

                    locations = self.getSpanLocation(list_x,x0,x1,10)
                    if len(locations)==_cospan+1:
                        _cell["bbox"] = (x0,y0,locations[1],y1)

                        _cell["columnspan"] = 1

                        #len(locations)==_colspan+1

                        for i in range(1,_cospan):
                            n_cell = {}
                            n_cell.update(_cell)
                            n_cell["bbox"] = (locations[i],y0,locations[i+1],y1)
                            c_i += 1
                            #check the position
                            if checkPosition(_line,c_i,n_cell["bbox"]):
                                _line.insert(c_i,n_cell)

                c_i += 1
        #拓展rowspan的数据
        for l_i in range(len(_table)):
            _line = _table[l_i]
            c_i = 0
            while c_i<len(_line):
                _cell = _line[c_i]
                if _cell.get("rowspan")>1:
                    x0,y0,x1,y1 = _cell.get("bbox")
                    _rospan = _cell.get("rowspan")
                    locations = self.getSpanLocation(list_y,y0,y1,10)

                    if len(locations)==_rospan+1:
                        _cell["bbox"] = (x0,y0,x1,locations[1])
                        _cell["rowspan"] = 1

                        for i in range(1,_rospan):
                            n_cell = {}
                            n_cell.update(_cell)
                            if l_i+i<=len(_table)-1:
                                # print(len(_table),l_i+i)
                                n_cell["bbox"] = (x0,locations[i],x1,locations[i+1])
                                if checkPosition(_table[l_i+i],c_i,n_cell["bbox"]):
                                    _table[l_i+i].insert(c_i,n_cell)
                c_i += 1


    def fixRect(self,_table,list_x,list_y,sourceP_LB,margin):
        self.fixSpan(_table,list_x,list_y,sourceP_LB)
        # for line_i in range(len(_table)):
        #     for cell_i in range(len(_table[line_i])):
        #         _cell = _table[line_i][cell_i]
        #         print(line_i,cell_i,_cell["bbox"],_cell["text"])
        for _line in _table:
            extend_line = []
            for c_i in range(len(_line)):
                c_cell = _line[c_i]

                #first cell missing
                if c_i==0 and c_cell["bbox"][0]!=list_x[0]:
                    _bbox = (list_x[0],c_cell["bbox"][1], c_cell["bbox"][0],c_cell["bbox"][3])
                    _cell = {"bbox": _bbox,
                             "rect": LTRect(1,_bbox),
                             "rowspan": self.getspan(list_y,_bbox[1], _bbox[3], margin),
                             "columnspan": self.getspan(list_x, _bbox[0], _bbox[2], margin),
                             "text": ""}
                    extend_line.append({"index":c_i,"cell":_cell})
                #cell in the median missing
                if c_i<len(_line)-1:
                    n_cell = _line[c_i+1]
                    _bbox = c_cell["bbox"]
                    n_bbox = n_cell["bbox"]
                    if _bbox[0]==n_bbox[0] and _bbox[2]==n_bbox[2]:
                        continue
                    else:
                        if abs(_bbox[2]-n_bbox[0])>margin:
                            _bbox = (_bbox[2],_bbox[1], n_bbox[0],_bbox[3])
                            _cell = {"bbox": _bbox,
                                     "rect": LTRect(1,_bbox),
                                     "rowspan": self.getspan(list_y,_bbox[1], _bbox[3], margin),
                                     "columnspan": self.getspan(list_x, _bbox[0], _bbox[2], margin),
                                     "text": ""}
                            extend_line.append({"index":c_i+1,"cell":_cell})
                #last cell missing
                if c_i==len(_line)-1:
                    if abs(c_cell["bbox"][2]-list_x[-1])>margin:
                        _bbox = (c_cell["bbox"][2],c_cell["bbox"][1], list_x[-1],c_cell["bbox"][3])
                        _cell = {"bbox": _bbox,
                                 "rect": LTRect(1,_bbox),
                                 "rowspan": self.getspan(list_y,_bbox[1], _bbox[3], margin),
                                 "columnspan": self.getspan(list_x, _bbox[0], _bbox[2], margin),
                                 "text": ""}
                        extend_line.append({"index":c_i+1,"cell":_cell})
            extend_line.sort(key=lambda x: x["index"],reverse=True)

            for _tmp in extend_line:
                _line.insert(_tmp["index"],_tmp["cell"])

    def feedText2table(self,_table,list_textbox,in_objs,sourceP_LB):

        #find the suitable cell of the textbox
        list_cells = []
        for table_line in _table:
            for _cell in table_line:
                list_cells.append({"cell":_cell,"inbox_textbox_list":[]})

        for textbox in list_textbox:
            list_iou = []
            for _d in list_cells:
                _cell = _d["cell"]
                _iou = self.getIOU(textbox.bbox,_cell["bbox"])
                list_iou.append(_iou)
            max_iou_index = np.argmax(list_iou)
            max_iou = list_iou[max_iou_index]
            if max_iou>0.1 and textbox not in in_objs:
                list_cells[max_iou_index]["inbox_textbox_list"].append(textbox)
                in_objs.add(textbox)


        has_matched_box_list = []
        for _d in list_cells:
            _cell = _d["cell"]
            inbox_textbox_list = _d["inbox_textbox_list"]

            # 分行，根据y重合
            all_match_box_list = []

            inbox_textbox_list.sort(key=lambda x:x.bbox[1],reverse=sourceP_LB)
            for i in range(len(inbox_textbox_list)):
                match_box_list = []
                box1 = inbox_textbox_list[i]
                if box1 in has_matched_box_list:
                    continue

                min_y1 = box1.bbox[1] + 1/3 * abs(box1.bbox[3]-box1.bbox[1])
                max_y1 = box1.bbox[3] - 1/3 * abs(box1.bbox[3]-box1.bbox[1])
                match_box_list.append([box1.get_text(), box1.bbox[0], box1.bbox[1], box1.bbox[2], box1.bbox[3],min_y1,max_y1])
                has_matched_box_list.append(box1)
                for j in range(i+1, len(inbox_textbox_list)):
                    box2 = inbox_textbox_list[j]
                    if box2 in has_matched_box_list:
                        continue

                    # print(min_y1, box2.bbox[1], box2.bbox[3], max_y1)
                    # print(min_y2, box1.bbox[3], max_y2)
                    if min_y1 <= box2.bbox[1] <= max_y1 or \
                            min_y1 <= box2.bbox[3] <= max_y1 or \
                            box2.bbox[1] <= min_y1 <= max_y1 <= box2.bbox[3]:
                        match_box_list.append([box2.get_text(), box2.bbox[0], box2.bbox[1], box2.bbox[2], box2.bbox[3],min_y1,max_y1])
                        has_matched_box_list.append(box2)
                match_box_list.sort(key=lambda x: x[1])
                all_match_box_list.append(match_box_list)

            # print("match_box_list", all_match_box_list)
            all_match_box_list.sort(key=lambda x:(round(x[0][2]+x[0][4])/2,0),reverse=sourceP_LB)
            for box_list in all_match_box_list:
                for box in box_list:
                    _cell["text"] += re.sub("\s",'',box[0])

    def makeTableByRect(self,list_rect,margin,sourceP_LB):
        _table = []
        set_x = set()
        set_y = set()

        clusters_rects = []
        # 根据y1聚类
        if sourceP_LB:
            list_rect.sort(key=lambda x:x.bbox[3])
            for _rect in list_rect:
                _y0 = _rect.bbox[3]
                _y1 = _rect.bbox[1]
                _find = False
                for l_cr in clusters_rects:
                    if abs(l_cr[0].bbox[3]-_y0)<margin:
                        _find = True
                        l_cr.append(_rect)
                        break
                if not _find:
                    clusters_rects.append([_rect])
        else:
            list_rect.sort(key=lambda x:x.bbox[1])
            for _rect in list_rect:
                _y0 = _rect.bbox[1]
                _y1 = _rect.bbox[3]
                _find = False
                for l_cr in clusters_rects:
                    if abs(l_cr[0].bbox[1]-_y0)<margin:
                        _find = True
                        l_cr.append(_rect)
                        break
                if not _find:
                    clusters_rects.append([_rect])

        # print("textbox:===================")
        # for _textbox in list_textbox:
        #     print(_textbox.get_text())
        # print("textbox:======>>>>>>>>>>>>>")
        # for c in clusters_rects:
        #     print("+"*30)
        #     for cc in c:
        #         print("rect", cc.)
        # cul spans
        for _line in clusters_rects:
            for _rect in _line:
                (x0,y0,x1,y1) = _rect.bbox
                set_x.add(x0)
                set_x.add(x1)
                set_y.add(y0)
                set_y.add(y1)
        if len(set_x)==0 or len(set_y)==0:
            return None,[],[]
        if len(list_rect)<=1:
            return None,[],[]
        list_x = list(set_x)
        list_y = list(set_y)

        list_x.sort(key=lambda x:x)
        list_y.sort(key=lambda x:x,reverse=sourceP_LB)

        # print("clusters_rects", len(clusters_rects))
        if sourceP_LB:
            clusters_rects.sort(key=lambda x:(x[0].bbox[1]+x[0].bbox[3])/2,reverse=sourceP_LB)
        clusters_rects.sort(key=lambda x:(x[0].bbox[1]+x[0].bbox[3])/2,reverse=sourceP_LB)

        for l_cr in clusters_rects:
            l_cr.sort(key=lambda x:x.bbox[0])

        pop_x = []
        for i in range(len(list_x)-1):
            _i = len(list_x)-i-1
            l_i = _i-1
            if abs(list_x[_i]-list_x[l_i])<5:
                pop_x.append(_i)
        pop_x.sort(key=lambda x:x,reverse=True)
        for _x in pop_x:
            list_x.pop(_x)
        #
        pop_x = []
        for i in range(len(list_y)-1):
            _i = len(list_y)-i-1
            l_i = _i-1
            if abs(list_y[_i]-list_y[l_i])<5:
                pop_x.append(_i)
        pop_x.sort(key=lambda x:x,reverse=True)
        for _x in pop_x:
            list_y.pop(_x)

        print("list_x",list_x)
        print("list_y",list_y)
        line_i = 0
        for _line in clusters_rects:
            table_line = []
            cell_i = 0
            for _rect in _line:
                (x0, y0, x1, y1) = _rect.bbox
                _cell = {"bbox": (x0, y0, x1, y1),
                         "rect": _rect,
                         "rowspan": self.getspan(list_y, y0, y1, margin),
                         "columnspan": self.getspan(list_x, x0, x1, margin),
                         "text": ""}

                cell_i += 1
                table_line.append(_cell)
            line_i += 1
            _table.append(table_line)
        return _table,list_x,list_y

    def rect2table(self, list_textbox, list_rect, in_objs, margin=5, sourceP_LB=True):

        def getIOU(bbox0,bbox1):
            width = max(bbox0[2],bbox1[2])-min(bbox0[0],bbox1[0])-(bbox0[2]-bbox0[0]+bbox1[2]-bbox1[0])
            height = max(bbox0[3],bbox1[3])-min(bbox0[1],bbox1[1])-(bbox0[3]-bbox0[1]+bbox1[3]-bbox1[1])
            if width<0 and height<0:
                return abs(width*height/min(abs((bbox0[2]-bbox0[0])*(bbox0[3]-bbox0[1])),abs((bbox1[2]-bbox1[0])*(bbox1[3]-bbox1[1]))))
            return 0


        _table,list_x,list_y = self.makeTableByRect(list_rect,margin,sourceP_LB)

        if _table is None:
            return

        self.feedText2table(_table,list_textbox,in_objs,sourceP_LB)


        # print("table===========================>")
        # for _line in _table:
        #     for _cell in _line:
        #         print("||%d%d"%(_cell["rowspan"],_cell["columnspan"]),end="\t")
        #     print()
        # print("table===========================>")
        #
        # print("------------")
        # for _line in _table:
        #     for _cell in _line:
        #         print(_cell["text"],end="\t")
        #     print("\n")
        # print("------------")

        self.fixRect(_table,list_x,list_y,sourceP_LB,margin)
        self.feedText2table(_table,list_textbox,in_objs,sourceP_LB)



        table_bbox = (_table[0][0].get("bbox")[0],
                      _table[0][0].get("bbox")[1],
                      _table[-1][-1].get("bbox")[2],
                      _table[-1][-1].get("bbox")[3])

        # print("=======")
        # for _line in _table:
        #     for _cell in _line:
        #         print(_cell["text"])
        #         print("\n")
        # print("===========")

        ta = {"bbox": table_bbox, "table": _table}
        return ta

    def inbox(self, bbox0, bbox_g, text=""):
        # if bbox_g[0]<=bbox0[0] and bbox_g[1]<=bbox0[1] and bbox_g[2]>=bbox0[2] and bbox_g[3]>=bbox0[3]:
        #     return 1
        # print("utils inbox", text, self.getIOU(bbox0,bbox_g), bbox0, bbox_g)
        if self.getIOU(bbox0,bbox_g)>0.2:
            return 1
        return 0

    def getIOU(self, bbox0, bbox1):
        width = abs(max(bbox0[2],bbox1[2])-min(bbox0[0],bbox1[0]))-(abs(bbox0[2]-bbox0[0])+abs(bbox1[2]-bbox1[0]))
        height = abs(max(bbox0[3],bbox1[3])-min(bbox0[1],bbox1[1]))-(abs(bbox0[3]-bbox0[1])+abs(bbox1[3]-bbox1[1]))
        if width < 0 and height < 0:
            iou = abs(width*height/min(abs((bbox0[2]-bbox0[0])*(bbox0[3]-bbox0[1])),
                                       abs((bbox1[2]-bbox1[0])*(bbox1[3]-bbox1[1]))))
            # print("getIOU", iou)
            return iou
        return 0

    def getspan(self, _list, x0, x1, margin):
        _count = 0
        (x0,x1) = (min(x0,x1),max(x0,x1))
        for _x in _list:
            if _x>=(x0-margin) and _x<=(x1+margin):
                _count += 1
        return _count-1

    def _plot(self, list_line, list_textbox):
        from matplotlib import pyplot as plt
        plt.figure()
        for _line in list_line:
            x0, y0, x1, y1 = _line.__dict__.get("bbox")
            plt.plot([x0, x1], [y0, y1])
        for _line in list_line:
            x0, y0, x1, y1 = _line.bbox
            plt.plot([x0, x1], [y0, y1])
        # for point in list_crosspoints:
        #     plt.scatter(point.get("point")[0],point.get("point")[1])
        for textbox in list_textbox:
            x0, y0, x1, y1 = textbox.bbox
            plt.plot([x0, x1], [y0, y1])
        plt.show()


def get_table_html(table):
    html_text = '<table border="1">'
    for row in table:
        html_text += "<tr>"
        for col in row:
            row_span = col.get("rowspan")
            col_span = col.get("columnspan")
            bbox_text = col.get("text")
            html_text += "<td colspan=" + str(col_span) + " rowspan=" + str(row_span) + ">"
            html_text += bbox_text + "</td>"
        html_text += "</tr>"
    html_text += "</table>"
    return html_text


def sort_object(obj_list, is_reverse=False):
    from format_convert.convert_tree import _Table, _Image, _Sentence, _Page
    obj_list = combine_object(obj_list)

    if len(obj_list) == 0:
        return obj_list
    if isinstance(obj_list[0], (_Table, _Sentence, _Image)):
        obj_list.sort(key=lambda x: (x.y, x.x), reverse=is_reverse)
        return obj_list
    elif isinstance(obj_list[0], _Page):
        obj_list.sort(key=lambda x: x.page_no)
        return obj_list
    else:
        return obj_list


def combine_object(obj_list, threshold=5):
    from format_convert.convert_tree import _Sentence
    sentence_list = []
    for obj in obj_list:
        if isinstance(obj, _Sentence):
            obj.content = re.sub("\s", "", obj.content)
            sentence_list.append(obj)
    sentence_list.sort(key=lambda x: (x.y, x.x))
    for sen in sentence_list:
        obj_list.remove(sen)

    delete_list = []
    for i in range(1, len(sentence_list)):
        sen1 = sentence_list[i-1]
        sen2 = sentence_list[i]
        if abs(sen2.y - sen1.y) <= threshold:
            if sen2.x > sen1.x:
                sen2.x = sen1.x
                sen2.content = sen1.content + sen2.content
            else:
                sen2.content = sen2.content + sen1.content
            if sen2.y > sen1.y:
                sen2.y = sen1.y
            delete_list.append(sen1)

    for sen in delete_list:
        sentence_list.remove(sen)
    for sen in sentence_list:
        obj_list.append(sen)
    return obj_list


session_ocr = requests.Session()
session_otr = requests.Session()
session_all = requests.Session()


def request_post(url, param, time_out=1000, use_zlib=False):
    fails = 0
    text = json.dumps([-2])
    while True:
        try:
            if fails >= 1:
                break

            headers = {'content-type': 'application/json'}
            # result = requests.post(url, data=param, timeout=time_out)
            if param.get("model_type") == "ocr":
                result = session_ocr.post(url, data=param, timeout=time_out)
            elif param.get("model_type") == "otr":
                result = session_otr.post(url, data=param, timeout=time_out)
            else:
                result = session_all.post(url, data=param, timeout=time_out)

            # print('result.status_code', result.status_code)
            # print('result.text', result.text)

            if result.status_code == 200:
                text = result.text
                break
            else:
                print('result.status_code', result.status_code)
                print('result.text', result.text)
                fails += 1
                continue
        except socket.timeout:
            fails += 1
            print('timeout! fail times:', fails)
        except:
            fails += 1
            print('fail! fail times:', fails)
            traceback.print_exc()
    return text


def test_gpu():
    print("="*30)
    import paddle
    paddle.utils.run_check()

    # import tensorflow as tf
    # print("tf gpu", tf.config.list_physical_devices('GPU'))
    print("="*30)


def my_subprocess_call(*popenargs, timeout=None):
    logging.info("into my_subprocess_call")
    with Popen(*popenargs, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as p:
        try:
            for line in p.stdout:
                print("stdout", line)
            for line in p.stderr:
                print("stderr", line)
            p.wait(timeout=timeout)
            # p.communicate()
            return p.pid, p.returncode
        except:  # Including KeyboardInterrupt, wait handled that.
            p.kill()
            # We don't call p.wait() again as p.__exit__ does that for us.
            raise
        finally:
            logging.info("out my_subprocess_call")
            p.kill()


def parse_yaml():
    yaml_path = os.path.dirname(os.path.abspath(__file__)) + "/interface.yml"
    with open(yaml_path, "r", encoding='utf-8') as f:
        cfg = f.read()

    params = yaml.load(cfg, Loader=yaml.SafeLoader)
    return params


def get_ip_port(node_type=None, interface_type=None):
    if node_type is None:
        node_type_list = ["master", "slave"]
    else:
        node_type_list = [node_type]

    if interface_type is None:
        interface_type_list = ["convert", "ocr", "otr", "office", "path"]
    else:
        interface_type_list = [interface_type]

    ip_port_dict = {}
    params = parse_yaml()
    # 循环 master slave
    for type1 in node_type_list:
        node_type = type1.upper()
        ip_list = params.get(node_type).get("ip")

        # 循环多个IP
        for j in range(len(ip_list)):
            _ip = ip_list[j]
            if ip_port_dict.get(_ip):
                ip_port_dict.get(_ip).update({node_type: {}})
            else:
                ip_port_dict.update({_ip: {node_type: {}}})

            # 有IP时，循环多个参数
            for type2 in interface_type_list:
                python_path = None
                project_path = None
                gunicorn_path = None
                processes = 0
                port_list = []
                interface_type = type2.upper()
                if interface_type in ["convert".upper()]:
                    _port = params.get(node_type).get(interface_type).get("port")
                    if _port is None:
                        port_list = []
                    else:
                        if interface_type == "convert".upper():
                            processes = params.get(node_type).get(interface_type).get("processes")[j]
                        port_list = [str(_port[j])]*int(processes)
                        # port_list = [str(_port)]
                elif interface_type == "path".upper():
                    python_path = params.get(node_type).get(interface_type).get("python")[j]
                    project_path = params.get(node_type).get(interface_type).get("project")[j]
                    gunicorn_path = params.get(node_type).get(interface_type).get("gunicorn")[j]
                else:
                    port_start = params.get(node_type).get(interface_type).get("port_start")
                    port_no = params.get(node_type).get(interface_type).get("port_no")
                    if port_start is None or port_no is None:
                        port_list = []
                    else:
                        port_list = [str(x) for x in range(port_start[j], port_start[j]+port_no[j], 1)]
                # if ip_list:
                #     for i in range(len(ip_list)):

                # 参数放入dict
                if port_list:
                    ip_port_dict.get(_ip).get(node_type).update({interface_type.lower(): port_list})
                if processes:
                    ip_port_dict.get(_ip).get(node_type).update({interface_type.lower()+"_processes": processes})
                if project_path and python_path and gunicorn_path:
                    ip_port_dict.get(_ip).get(node_type).update({"project_path": project_path,
                                                                 "python_path": python_path,
                                                                 "gunicorn_path": gunicorn_path})
                # print("ip_port_dict", ip_port_dict)
    return ip_port_dict


def get_ip_port_old(node_type=None, interface_type=None):
    if node_type is None:
        node_type_list = ["master", "slave"]
    else:
        node_type_list = [node_type]

    if interface_type is None:
        interface_type_list = ["convert", "ocr", "otr", "office", "path"]
    else:
        interface_type_list = [interface_type]

    ip_port_dict = {}
    params = parse_yaml()
    for type1 in node_type_list:
        node_type = type1.upper()
        ip_list = params.get(node_type).get("ip")
        for type2 in interface_type_list:
            interface_type = type2.upper()
            processes = 0
            python_path = None
            project_path = None
            if interface_type in ["convert".upper()]:
                _port = params.get(node_type).get(interface_type).get("port")
                if _port is None:
                    port_list = []
                else:
                    if interface_type == "convert".upper():
                        processes = params.get(node_type).get(interface_type).get("processes")
                    port_list = [str(_port)]*int(processes)
                    # port_list = [str(_port)]
            elif interface_type == "path".upper():
                python_path = params.get(node_type).get(interface_type).get("python")
                project_path = params.get(node_type).get(interface_type).get("project")
            else:
                port_start = params.get(node_type).get(interface_type).get("port_start")
                port_no = params.get(node_type).get(interface_type).get("port_no")
                if port_start is None or port_no is None:
                    port_list = []
                else:
                    port_list = [str(x) for x in range(port_start, port_start+port_no, 1)]
            if ip_list:
                for _ip in ip_list:
                    if _ip is None:
                        continue
                    if _ip in ip_port_dict.keys():
                        if port_list:
                            ip_port_dict.get(_ip).update({interface_type.lower(): port_list})
                    else:
                        if port_list:
                            ip_port_dict[_ip] = {interface_type.lower(): port_list}
                    if processes:
                        ip_port_dict.get(_ip).update({interface_type.lower()+"_processes": processes})
                    if project_path and python_path:
                        ip_port_dict.get(_ip).update({"project_path": project_path,
                                                      "python_path": python_path})
    return ip_port_dict


def get_intranet_ip():
    try:
        # Create a new socket using the given address family,
        # socket type and protocol number.
        s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)

        # Connect to a remote socket at address.
        # (The format of address depends on the address family.)
        address = ("8.8.8.8", 80)
        s.connect(address)

        # Return the socket’s own address.
        # This is useful to find out the port number of an IPv4/v6 socket, for instance.
        # (The format of the address returned depends on the address family.)
        sockname = s.getsockname()
        ip = sockname[0]
        port = sockname[1]
    finally:
        s.close()
    return ip


def get_all_ip():
    if get_platform() == "Windows":
        ips = ['127.0.0.1']
    else:
        ips = [ip.split('/')[0] for ip in os.popen("ip addr | grep 'inet '|awk '{print $2}'").readlines()]
    for i in range(len(ips)):
        ips[i] = "http://" + ips[i]
    return ips


def get_using_ip():
    ip_port_dict = get_ip_port()
    ips = get_all_ip()
    ip = "http://127.0.0.1"
    for key in ip_port_dict.keys():
        if key in ips:
            ip = key
            break
    return ip


def memory_decorator(func):
    @wraps(func)
    def get_memory_info(*args, **kwargs):
        if get_platform() == "Windows":
            return func(*args, **kwargs)

        # 只有linux有resource包
        # usage = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
        usage = psutil.Process(os.getpid()).memory_info().rss / 1024 / 1024 / 1024
        start_time = time.time()
        logging.info("----- memory info start - " + func.__qualname__
                     + " - " + str(os.getpid())
                     + " - " + str(round(usage, 2)) + " GB"
                     + " - " + str(round(time.time()-start_time, 2)) + " sec")

        result = func(*args, **kwargs)

        # usage = resource.getrusage(resource.RUSAGE_SELF).ru_maxrss
        usage = psutil.Process(os.getpid()).memory_info().rss / 1024 / 1024 / 1024
        logging.info("----- memory info end - " + func.__qualname__
                     + " - " + str(os.getpid())
                     + " - " + str(round(usage, 2)) + " GB"
                     + " - " + str(round(time.time()-start_time, 2)) + " sec")
        return result

    return get_memory_info


def log(msg):
    call_func_name = inspect.currentframe().f_back.f_code.co_name
    logger = get_logger(call_func_name, {"md5": _global.get("md5"),
                                         "port": _global.get("port")})
    logger.info(msg)
    # logging.info(msg)


def get_logger(_name, _dict):
    extra = _dict
    _format = '%(asctime)s - %(name)s - %(levelname)s - %(md5)s - %(port)s - %(message)s'
    logger = logging.getLogger(_name)

    create_new_flag = 1
    handlers = logger.handlers
    if handlers:
        for h in handlers:
            if h.formatter.__dict__.get("_fmt") == _format:
                create_new_flag = 0
                break
    if create_new_flag:
        formatter = logging.Formatter(_format)
        handler = logging.StreamHandler()
        handler.setFormatter(formatter)
        logger.addHandler(handler)

    logger.setLevel(logging.INFO)
    logger.propagate = False
    logger = logging.LoggerAdapter(logger, extra)
    return logger


def set_flask_global():
    # 接口轮询所需锁、参数
    ip_port_flag = {}
    ip_flag = []
    ip_port_dict = get_ip_port()
    for _k in ip_port_dict.keys():
        ip_port_flag.update({_k: {"ocr": 0,
                                  "otr": 0,
                                  "convert": 0,
                                  "office": 0
                                  }})
        if ip_port_dict.get(_k).get("MASTER"):
            ip_flag.append([_k+"_master", 0])
        if ip_port_dict.get(_k).get("SLAVE"):
            ip_flag.append([_k+"_slave", 0])
    _global.update({"ip_port_flag": ip_port_flag})
    _global.update({"ip_port": ip_port_dict})
    _global.update({"ip_flag": ip_flag})
    # print(globals().get("ip_port"))


def get_md5_from_bytes(_bytes):
    def generate_fp(_b):
        bio = BytesIO()
        bio.write(_b)
        return bio
    _length = 0
    try:
        _md5 = hashlib.md5()
        ff = generate_fp(_bytes)
        ff.seek(0)
        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 to_share_memory(np_data, name=None):
#     # from multiprocessing.resource_tracker import unregister
#     from multiprocessing import shared_memory
#     if name is None:
#         sm_name = "psm_" + str(os.getpid())
#     else:
#         sm_name = name
#     logging.info("into from_share_memory sm_name " + sm_name)
#     shm = shared_memory.SharedMemory(name=sm_name, create=True, size=np_data.nbytes)
#     # unregister(sm_name, 'shared_memory')
#     sm_data = np.ndarray(np_data.shape, dtype=np_data.dtype, buffer=shm.buf)
#     sm_data[:] = np_data[:]  # Copy the original data into shared memory
#
#     shm.close()
#     del sm_data
#     return shm


# def from_share_memory(sm_name, _shape, _dtype, if_close=True):
#     from multiprocessing import shared_memory
#     logging.info("into from_share_memory sm_name " + sm_name)
#     shm = shared_memory.SharedMemory(name=sm_name, create=False)
#     b = np.ndarray(_shape, dtype=_dtype, buffer=shm.buf)
#     sm_data = copy.deepcopy(b)
#     b[::] = 0
#
#     if if_close:
#         try:
#             shm.close()
#             shm.unlink()
#         except Exception:
#             log("file not found! " + sm_name)
#     return sm_data


# def get_share_memory(sm_name):
#     try:
#         from multiprocessing import shared_memory
#         shm = shared_memory.SharedMemory(name=sm_name, create=False)
#         return shm
#     except:
#         return None


# def release_share_memory(shm):
#     try:
#         if shm is None:
#             return
#         shm.close()
#         shm.unlink()
#         log(str(shm.name) + " release successfully!")
#     except FileNotFoundError:
#         log(str(shm.name) + " has released!")
#     except Exception as e:
#         traceback.print_exc()


# def get_share_memory_list(sm_list_name, list_size=None):
#     # from multiprocessing.resource_tracker import unregister
#     from multiprocessing import shared_memory
#     if list_size is None:
#         sm_list = shared_memory.ShareableList(name=sm_list_name)
#     else:
#         sm_list = shared_memory.ShareableList(name=sm_list_name, sequence=["0"]+[' '*2048]*(list_size-2)+["0"])
#         # unregister(sm_list_name, 'shared_memory')
#     return sm_list


# def close_share_memory_list(sm_list):
#     try:
#         sm_list.shm.close()
#     except Exception:
#         traceback.print_exc()


def get_np_type(_str):
    _dtype = None
    if _str == 'uint8':
        _dtype = np.uint8
    elif _str == 'float16':
        _dtype = np.float16
    elif _str == 'float32':
        _dtype = np.float32
    logging.info("get_np_type " + _str + " " + str(_dtype))
    return _dtype


def namespace_to_dict(agrs_or_dict, reverse=False):
    if reverse:
        agrs_or_dict = argparse.Namespace(**agrs_or_dict)
    else:
        agrs_or_dict = vars(agrs_or_dict)
    return agrs_or_dict


def get_args_from_config(ip_port_dict, ip, arg_type, node_type=None):
    if node_type is None:
        node_type = ["MASTER", "SLAVE"]
    else:
        node_type = [node_type]

    arg_list = []
    for _type in node_type:
        if ip_port_dict.get(ip).get(_type):
            if ip_port_dict.get(ip).get(_type).get(arg_type):
                arg_list.append(ip_port_dict.get(ip).get(_type).get(arg_type))

    return arg_list


def remove_red_seal(image_np):
    """
    去除红色印章
    """
    cv2.namedWindow("image_np", 0)
    cv2.resizeWindow("image_np", 1000, 800)
    cv2.imshow("image_np", image_np)
    height, width, c = image_np.shape
    window_h = int(height / 15)

    image_hsv = cv2.cvtColor(image_np, cv2.COLOR_BGR2HSV)

    # 遍历numpy
    red_point_list = []
    image_list = image_np.tolist()
    hsv_dict = {}
    for index_1 in range(len(image_list)):
        for index_2 in range(len(image_list[index_1])):
            h, s, v = image_hsv[index_1][index_2]
            if (0 <= h <= 10 or 156 <= h <= 180) and 43 <= s <= 255 and 46 <= v <= 255:
                key = str(image_hsv[index_1][index_2].tolist())
                red_point_list.append([key, index_1, index_2])
                if hsv_dict.get(key):
                    hsv_dict[key] += 1
                else:
                    hsv_dict[key] = 1

    # 找出相同最多的hsv值
    hsv_most_key = None
    hsv_most_value = 0
    for hsv in hsv_dict.keys():
        if hsv_dict.get(hsv) > hsv_most_value:
            hsv_most_value = hsv_dict.get(hsv)
            hsv_most_key = hsv
    # print(hsv_dict)

    # 根据hsv判断其填充为黑色还是白色
    hsv_most_key = eval(hsv_most_key)
    for point in red_point_list:
        if abs(eval(point[0])[2] - hsv_most_key[2]) <= 70:
            image_np[point[1]][point[2]][0] = 255
            image_np[point[1]][point[2]][1] = 255
            image_np[point[1]][point[2]][2] = 255
        else:
            image_np[point[1]][point[2]][0] = 0
            image_np[point[1]][point[2]][1] = 0
            image_np[point[1]][point[2]][2] = 0

    cv2.namedWindow("remove_red_seal", 0)
    cv2.resizeWindow("remove_red_seal", 1000, 800)
    cv2.imshow("remove_red_seal", image_np)
    # cv2.imwrite("C:/Users/Administrator/Downloads/1.png", image_np)
    cv2.waitKey(0)

    return image_np


def pil_resize(image_np, height, width):
    # limit pixels 89478485
    if image_np.shape[0] * image_np.shape[1] * image_np.shape[2] >= 89478485:
        print("image too large, limit 89478485 pixels", image_np.shape)
        ratio = image_np.shape[0] / image_np.shape[1]
        if image_np.shape[0] >= image_np.shape[1]:
            image_np = cv2.resize(image_np, (int(3000/ratio), 3000), interpolation=cv2.INTER_AREA)
        else:
            image_np = cv2.resize(image_np, (3000, int(3000*ratio)), interpolation=cv2.INTER_AREA)

    image_pil = Image.fromarray(cv2.cvtColor(image_np, cv2.COLOR_BGR2RGB))
    image_pil = image_pil.resize((int(width), int(height)), Image.BICUBIC)
    image_np = cv2.cvtColor(np.asarray(image_pil), cv2.COLOR_RGB2BGR)
    return image_np


def np2pil(image_np):
    image_pil = Image.fromarray(cv2.cvtColor(image_np, cv2.COLOR_BGR2RGB))
    return image_pil


def pil2np(image_pil):
    image_np = cv2.cvtColor(np.array(image_pil), cv2.COLOR_RGB2BGR)
    return image_np


def bytes2np(_b):
    try:
        # 二进制数据流转np.ndarray [np.uint8: 8位像素]
        image_np = cv2.imdecode(np.frombuffer(_b, np.uint8), cv2.IMREAD_COLOR)
        # 将rgb转为bgr
        # image_np = cv2.cvtColor(image_np, cv2.COLOR_RGB2BGR)
        return image_np
    except cv2.error as e:
        if "src.empty()" in str(e):
            log("bytes2np image is empty!")
        return None
    except:
        traceback.print_exc()
        return None


if __name__ == "__main__":
    # strs = r"D:\Project\temp\04384fcc9e8911ecbd2844f971944973\043876ca9e8911eca5e144f971944973_rar\1624114035529.jpeg"
    # print(slash_replace(strs))
    # from  matplotlib import pyplot as plt
    # import random
    # fig = plt.figure()
    # plt.xlim(100)
    # plt.ylim(100)
    # fig.add_subplot(111)
    # x0,y0,x1,y1 = (1,2,3,4)
    # plt.gca().add_patch(plt.Rectangle(xy=(x0, y0),
    #                                   width=x1-x0,
    #                                   height=y1-y0,
    #                                   edgecolor=(random.randint(0,255)/255,random.randint(0,255)/255,random.randint(0,255)/255),
    #                                   fill=False, linewidth=2))
    #
    # # plt.show()
    # import cv2
    # import numpy as np
    # img = np.zeros(shape=(1800,1800),dtype=np.uint8)
    # img += 255
    # cv2.imshow("bbox", img)
    # cv2.waitKey(0)

    # print(json.dumps({"data":[1, 2]}))

    # print(parse_yaml())

    print(get_ip_port())
    # set_flask_global()
    # print(get_all_ip())
    print(get_args_from_config(get_ip_port(), get_all_ip()[0], "gunicorn_path"))
    # print(get_args_from_config(get_ip_port(), "http://127.0.0.1", "gunicorn_path"))
    # print(get_intranet_ip())
    # _path = "C:/Users/Administrator/Downloads/3.png"
    # remove_red_seal(cv2.imread(_path))