import inspect
import os
import sys
sys.path.append(os.path.dirname(__file__) + "/../")
from format_convert.convert_tree import _Document, _Page, _Table
import logging
import traceback
import pandas as pd
import numpy as np
import xlrd
from format_convert.utils import get_logger, log, memory_decorator
from format_convert.wrapt_timeout_decorator import timeout


@memory_decorator
def xlsx2text(path, unique_type_dir):
    log("into xlsx2text")
    try:
        try:
            # sheet_name=None, 即拿取所有sheet，存为dict
            df_dict = pd.read_excel(path, header=None, keep_default_na=False, sheet_name=None)
        except Exception as e:
            log("xlsx format error!")
            return [-3]

        df_list = [sheet for sheet in df_dict.values()]
        sheet_text = ""
        for df in df_list:
            text = '<table border="1">' + "\n"
            for index, row in df.iterrows():
                text = text + "<tr>"
                for r in row:
                    text = text + "<td>" + str(r) + "</td>" + "\n"
                    # print(text)
                text = text + "</tr>" + "\n"
            text = text + "</table>" + "\n"
            sheet_text += text

        return [sheet_text]
    except Exception as e:
        log("xlsx2text error!")
        traceback.print_exc()
        return [-1]


class XlsxConvert:

    def __init__(self, path, unique_type_dir, is_xls=False):
        self._doc = _Document(path)
        self.path = path
        self.unique_type_dir = unique_type_dir

        # xls直接用xlrd读取
        self.is_xls = is_xls

        self.workbook = None
        self.sheet_list = []

        # 防止读太多列行
        self.col_limit = 100
        self.row_limit = 2000

        # 防止sheet太多
        self.sheet_limit = 10

    @timeout(30, timeout_exception=TimeoutError, use_signals=False)
    def read(self):
        # xlrd 为了读取合并单元格 或 直接读取xls
        workbook = xlrd.open_workbook(self.path)

        if not self.is_xls:
            # pandas
            # df = pd.read_excel(self.path, header=None, keep_default_na=False, sheet_name=None)
            df = pd.read_excel(self.path, header=None, keep_default_na=False,
                               sheet_name=None, usecols=[x for x in range(self.col_limit)],
                               nrows=self.row_limit)
            sheet_list = [sheet for sheet in df.values()]

        else:
            # xlrd -> pandas
            data_list = []
            for sheet in workbook.sheets():
                data = []
                # 读取工作表中的内容
                for row_idx in range(sheet.nrows):
                    if row_idx >= self.row_limit:
                        break
                    row = sheet.row_values(row_idx)[:self.col_limit]
                    data.append(row)

                # 将读取的数据转换为 pandas DataFrame
                df = pd.DataFrame(data)
                data_list.append(df)
            sheet_list = data_list

        # 使用了定时装饰器，需直接返回结果，直接赋值对象变量无效
        # self.workbook = workbook
        # self.sheet_list = self.sheet_list[:self.sheet_limit]
        return workbook, sheet_list

    def init_package(self):
        # 各个包初始化
        try:
            self.workbook, self.sheet_list = self.read()
            # self.df, self.workbook = self.read()
            # self.sheet_list = [sheet for sheet in self.df.values()]

            # self.re_read = 0
            # for s in self.sheet_list:
            #     if s.shape[1] > self.col_limit and s.shape[0] > self.row_limit:
            #         self.re_read = 3
            #         break
            #     elif s.shape[0] > self.row_limit:
            #         self.re_read = 2
            #         break
            #     elif s.shape[1] > self.col_limit:
            #         self.re_read = 1
            #         break

            # if self.re_read == 3:
            #     self.df = pd.read_excel(self.path, header=None, keep_default_na=False,
            #                                 sheet_name=None, usecols=[x for x in range(self.col_limit)],
            #                                 nrows=self.row_limit)
            # if self.re_read == 2:
            #     self.df = pd.read_excel(self.path, header=None, keep_default_na=False,
            #                                 sheet_name=None, nrows=self.row_limit)
            # elif self.re_read == 1:
            #     self.df = pd.read_excel(self.path, header=None, keep_default_na=False,
            #                                 sheet_name=None, usecols=[x for x in range(self.col_limit)])
            # if self.re_read > 0:
            #     self.sheet_list = [sheet for sheet in self.df.values()]

            # print(self.sheet_list[0].shape)
        except:
            if self.is_xls:
                log("cannot open xls!")
            else:
                log("cannot open xlsx!")
            traceback.print_exc()
            self._doc.error_code = [-3]

    def convert(self):
        log('into xlsx_convert')
        self.init_package()
        if self._doc.error_code is not None:
            return

        sheet_no = 0
        for sheet in self.sheet_list:
            self._page = _Page(None, sheet_no)
            self.convert_page(sheet, sheet_no)

            if self._doc.error_code is None and self._page.error_code is not None:
                self._doc.error_code = self._page.error_code
            self._doc.add_child(self._page)
            sheet_no += 1

    def convert_page_230101(self, sheet):
        text = '<table border="1">' + "\n"

        # 剔除多余空列
        max_row_len = 0
        max_col_len = 0
        if self.re_read:
            for index, row in sheet.iterrows():
                col_len = 0
                row_empty_flag = 1
                for i in range(len(row)):
                    if row[i] not in [None, "", np.nan]:
                        row_empty_flag = 0
                        col_len = i

                if self.re_read == 3 or self.re_read == 1:
                    if col_len > max_col_len:
                        max_col_len = col_len

                if self.re_read == 3 or self.re_read == 2:
                    if row_empty_flag == 0:
                        max_row_len = index

        for index, row in sheet.iterrows():
            if self.re_read == 3 or self.re_read == 2:
                if index > max_row_len:
                    break
            text = text + "<tr>"
            if self.re_read == 3 or self.re_read == 1:
                row = row[:max_col_len+1]
            for r in row:
                text = text + "<td>" + str(r) + "</td>" + "\n"
                # print(text)
            text = text + "</tr>" + "\n"
        text = text + "</table>" + "\n"

        _table = _Table(text, (0, 0, 0, 0), is_html=True)
        self._page.add_child(_table)

    def convert_page_2405024(self, sheet, sheet_no):
        # 剔除多余空列
        max_row_len = 0
        max_col_len = 0
        if self.re_read:
            for index, row in sheet.iterrows():
                col_len = 0
                row_empty_flag = 1
                for i in range(len(row)):
                    if row[i] not in [None, "", np.nan]:
                        row_empty_flag = 0
                        col_len = i

                if self.re_read == 3 or self.re_read == 1:
                    if col_len > max_col_len:
                        max_col_len = col_len

                if self.re_read == 3 or self.re_read == 2:
                    if row_empty_flag == 0:
                        max_row_len = index

        row_list = []
        for index, row in sheet.iterrows():
            if self.re_read == 3 or self.re_read == 2:
                if index > max_row_len:
                    break
            if self.re_read == 3 or self.re_read == 1:
                row = row[:max_col_len+1]
            col_list = []
            for r in row:
                col_list.append(str(r))
            row_list.append(col_list)

        # xlrd 获取合并单元格位置
        sheet_xlrd = self.workbook.sheet_by_index(sheet_no)
        merged_cell_list = sheet_xlrd.merged_cells
        merged_cell_list.sort(key=lambda x: (x[0], x[1], x[2], x[3]))
        # print("merged_cell_list", merged_cell_list)

        # 复制填充合并单元格
        for row_start, row_end, col_start, col_end in merged_cell_list:
            if row_start >= len(row_list) or row_end > len(row_list):
                continue
            if col_start >= len(row_list[row_start]) or col_end > len(row_list[row_start]):
                continue
            copy_cell = row_list[row_start][col_start]
            for i in range(row_start, row_end):
                row = row_list[i]
                # 第一行补少一个，其他行需补多一个
                if i == row_start:
                    col_start_real = col_start+1
                else:
                    col_start_real = col_start
                for j in range(col_start_real, col_end):
                    if row[j] == "":
                        row[j] = copy_cell

        # 拼接html表格
        text = '<table border="1">' + "\n"
        for row in row_list:
            text = text + "<tr>"
            for col in row:
                text = text + "<td>" + str(col) + "</td>" + "\n"
            text = text + "</tr>" + "\n"
        text = text + "</table>" + "\n"

        _table = _Table(text, (0, 0, 0, 0), is_html=True)
        self._page.add_child(_table)

    def convert_page(self, sheet, sheet_no):
        row_list = self.delete_empty_row_col(sheet)

        # xlrd 获取合并单元格位置
        sheet_xlrd = self.workbook.sheet_by_index(sheet_no)
        merged_cell_list = sheet_xlrd.merged_cells
        merged_cell_list.sort(key=lambda x: (x[0], x[1], x[2], x[3]))
        # print("merged_cell_list", merged_cell_list)

        # 复制填充合并单元格
        for row_start, row_end, col_start, col_end in merged_cell_list:
            if row_start >= len(row_list) or row_end > len(row_list):
                continue
            if col_start >= len(row_list[row_start]) or col_end > len(row_list[row_start]):
                continue
            copy_cell = row_list[row_start][col_start]
            for i in range(row_start, row_end):
                row = row_list[i]
                # 第一行补少一个，其他行需补多一个
                if i == row_start:
                    col_start_real = col_start+1
                else:
                    col_start_real = col_start
                for j in range(col_start_real, col_end):
                    if row[j] == "":
                        row[j] = copy_cell

        # 拼接html表格
        text = '<table border="1">' + "\n"
        for row in row_list:
            text = text + "<tr>"
            for col in row:
                text = text + "<td>" + str(col) + "</td>" + "\n"
            text = text + "</tr>" + "\n"
        text = text + "</table>" + "\n"

        _table = _Table(text, (0, 0, 0, 0), is_html=True)
        self._page.add_child(_table)

    def delete_empty_row_col(self, sheet):
        # 删除xlsx全为空的行列
        sheet.dropna(how='all', axis=1, inplace=True)
        sheet.dropna(how='all', axis=0, inplace=True)

        # 剔除多余空列
        max_row_len = 0
        max_col_len = 0
        for index, row in sheet.iterrows():
            col_len = 0
            row_empty_flag = 1
            for i in range(len(row)):
                if row[i] not in [None, "", np.nan]:
                    row_empty_flag = 0
                    col_len = i
            if col_len > max_col_len:
                max_col_len = col_len
            if row_empty_flag == 0:
                max_row_len = index

        row_list = []
        for index, row in sheet.iterrows():
            if index > max_row_len:
                break
            row = row[:max_col_len+1]
            col_list = []
            for r in row:
                col_list.append(str(r))
            row_list.append(col_list)
        return row_list

    def get_html(self):
        try:
            self.convert()
        except:
            traceback.print_exc()
            self._doc.error_code = [-1]
        if self._doc.error_code is not None:
            return self._doc.error_code
        return self._doc.get_html()