ai_qback/make_docx_demo/main_word_applet.py

# -*- coding: UTF-8 -*-
"""专为鲍利提分小程序，制作的word文档;apifox接口在-单词教学宝-词汇突击学案文档生成接口"""

import time
import re
import os
import math
import yaml
from random import randint, shuffle

from docx.shared import Pt, Inches, Cm, RGBColor
from docx.enum.text import WD_COLOR_INDEX
from make_docx_demo.data import *
from docx_base import Word, Table, hex_to_rgb, rgb_to_hex, ParagraphBase
from make_docx_demo.docx_other_func import time_use, qrcode_maker, get_weekday
from tools.loglog import logger, log_err_e
from make_docx_demo.word2pdf import convert_word_to_pdf
from make_docx_demo.get_standard_data import get_standard_data
from common.split_text import split_text_to_word_punctuation
from config.read_config import address

num_dict = {1: "❶", 2: "❷", 3: "❸", 4: "❹", 5: "❺", 6: "❻", 7: "❼", 8: "❽", 9: "❾",
            10: "❿", 11: "⓫", 12: "⓬", 13: "⓭", 14: "⓮", 15: "⓯", 16: "⓰", 17: "⓱", 18: "⓲", 19: "⓳", 20: "⓴"}


@time_use
def header_maker(docx: Word, json_data):
    exercise_id = str(json_data.get("ExerciseId", "")).rjust(11, "0")
    exercise_title = json_data.get("ExerciseTitle", "")
    exercise_level = json_data['StudentInfo']['StudentStudy']['ReadingLevel']

    student_name = json_data.get("StudentInfo").get("StudentName", '')
    class_name = json_data.get("StudentInfo").get("ClassName", '').replace("词汇突击", "")
    t_date = time.strftime("%Y-%m-%d", time.localtime())
    t_weekday = get_weekday()
    t_time = time.strftime("%H:%M:%S", time.localtime())

    for i in range(1, len(docx.doc.sections) - 1):
        tb_header = docx.add_header_table(rows=1, cols=5, section_index=i, tb_name="页眉表格")

        tb_header.set_cell_text(0, 0, "鲍利提分", bold=True, size=16, color=(220, 220, 220), border=False, chinese_font_name="黑体")
        tb_header.set_cell_text(0, 1, f"{class_name}\n{student_name}", size=8, border=False, color=(220, 220, 220))
        tb_header.set_cell_text(0, 2, f"词汇训练\n{exercise_level}级", size=8, border=False, color=(220, 220, 220))
        tb_header.set_cell_text(0, 3, f"{exercise_id}", bold=True, size=24, border=False, color=(220, 220, 220))
        tb_header.set_cell_text(0, 4, f"{t_date}\n{t_weekday}\n{t_time}", size=8, border=False, color=(220, 220, 220))

        tb_header.set_tb_colum_width(width=[100, 70, 70, 150, 80])

    target_section = docx.doc.sections[-1]
    target_section.header.is_linked_to_previous = False

    for paragraph in target_section.header.paragraphs:
        paragraph.clear()

    target_section.header_distance = 0
    target_section.footer_distance = 280000


@time_use
def sub_title_maker(docx: Word, main_title, sub_title_name1, sub_title_name2='鲍利提分，你的智能教练'):
    p = docx.add_blank_paragraph()
    line_width = 200
    main_rect_x = line_width + 10
    main_rect_width = 150

    right_line_x = main_rect_x + main_rect_width + 10

    p.add_rectangle(main_title, x=main_rect_x, y=4, fill_color="000000", width=main_rect_width, height=48, font_color="ffffff",
                    font_size=18)
    p.add_rectangle("", x=0, y=50, boder_color="808080", width=line_width, height=2)
    p.add_rectangle("", x=right_line_x, y=50, boder_color="808080", width=line_width, height=2)

    p.add_rectangle(f"【{sub_title_name1}】", x=0, y=20, width=line_width, height=40, font_size=8, chinese_font="宋体")
    p.add_rectangle(sub_title_name2, x=right_line_x, y=20, width=line_width, height=40, font_color="808080", font_size=8,
                    chinese_font="宋体")
    docx.add_blank_paragraph()
    docx.add_blank_paragraph()
    docx.add_blank_paragraph()


@time_use
def section_1(docx: Word, json_data, *args, **kwargs):
    exercise_id_int = json_data.get("ExerciseId", "")
    student_name = json_data.get("StudentInfo").get("StudentName", '')
    student_stage = json_data.get("StudentInfo").get("StudentStage")
    grade_name = {1: "小学", 2: "初中", 3: "高中"}.get(student_stage)
    t_date_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())

    totalVocabulary, readingAccuracy, readingLevel, readingSpeed = get_standard_data(student_stage)

    FirstVocabulary = json_data['StudentInfo']['StudentStudy']['FirstVocabulary']
    Vocabulary = json_data['StudentInfo']['StudentStudy']['Vocabulary']
    ReadingVolume = json_data['StudentInfo']['StudentStudy']['ReadingVolume']

    r6 = json_data['StudentInfo']['StudentStudy']['ReadingLevel']

    r7 = len([strange_words for exercise in json_data['WordAndArticleContents'] for strange_words in exercise['StrangeWords']])
    r8 = r6
    multi_article_difficulty = [article_obj['Score'] for article_obj in json_data['WordAndArticleContents'][0]['Articles']]
    difficulty_value = sum(multi_article_difficulty) // len(multi_article_difficulty) if multi_article_difficulty else 0

    InspirationalMessage = json_data.get('InspirationalMessage')
    "开始版面-------------------------------------------------"

    docx.add_paragraph(text="鲍利提分个性化学案", size=20, align="center", bold=True)
    docx.add_paragraph(text="AI解码英语基因，智能重组高分密码", size=14, align="center")

    docx.add_blank_paragraph()
    docx.add_paragraph(text="学生基本情况", size=16, align="left", bold=True, dq=10, dh=5)
    t1 = Table(docx, 0, 3, border=True, tb_name="学生基本情况")
    t1.add_table_row_data_xml_fastly(["姓名", "年级", "初始词汇量"])
    t1.add_table_row_data_xml_fastly([student_name, grade_name, FirstVocabulary])
    t1.add_table_row_data_xml_fastly(["当前词汇量", "学段总词汇量", "累计阅读量"])
    t1.add_table_row_data_xml_fastly([Vocabulary, totalVocabulary, ReadingVolume])
    t1.set_all_border_fastly(xml=True)
    t1.set_ALIGN_VERTICAL()
    t1.set_row_height(row_height=20)

    docx.add_blank_paragraph()
    docx.add_paragraph(text="本次学案难度情况", size=16, align="left", bold=True, dq=10, dh=5)
    t3 = Table(docx, 0, 4, border=False, tb_name="本次学案难度情况")
    t3.add_table_row_data_xml_fastly(["指标", "生词数量", "阅读难度等级", "文章词汇难度值"])
    t3.add_table_row_data_xml_fastly(["本次内容", f"{r7}个", r8, difficulty_value])
    t3.set_all_border_fastly(xml=True)
    t3.set_ALIGN_VERTICAL()
    t3.set_row_height(row_height=20)
    docx.add_blank_paragraph()

    if InspirationalMessage:
        docx.add_paragraph(text="寄语", size=16, align="left", bold=True, dq=10, dh=5)
        t4 = Table(docx, 0, 1, border=False, tb_name="封面的寄语")
        t4.add_table_row_data_xml_fastly([InspirationalMessage], )
        t4.set_all_border_fastly(xml=True)
        t4.set_ALIGN_VERTICAL()
        t4.set_row_height(row_height=50)
        t4.set_tb_colum_width(0, 500)
        docx.add_blank_paragraph()

    docx.add_paragraph(text="练习提醒Tips", size=16, align="left", bold=True, dq=10, dh=5)
    t5 = Table(docx, 0, 1, border=False, tb_name="本次学案难度情况")
    text = "请认真阅读，不可急于求成，要确保能够理解每一句话，不要满足于略知概要，不要跳读略读，不要猜答案，加油!"
    t5.add_table_row_data_xml_fastly([text], )
    t5.set_all_border_fastly(xml=True)
    t5.set_ALIGN_VERTICAL()
    t5.set_row_height(row_height=50)
    t5.set_tb_colum_width(0, 500)

    docx.add_paragraph(text="多媒体辅助", size=16, align="left", bold=True, dq=10, dh=5)
    docx.add_paragraph(text="需要示范的的学员，扫以下二维码获取音频、视频示范：", size=12, align="left", dq=5, dh=5)
    p = docx.add_blank_paragraph()

    img_io = qrcode_maker(full_url=f"{address}/link?type=exercise&id={exercise_id_int}&from=bltf")
    p.add_pic(img_io, width=2)
    img_io.close()

    docx.add_paragraph(text=f"生成时间: {t_date_time}", size=12, align="left", dq=10)

    docx.add_page_section()


@time_use
def section_4(docx: Word, json_data, *args, **kwargs):
    student_name = json_data.get("StudentInfo").get("StudentName", '')
    title_info = "\n".join(json_data.get("Title"))

    if title_info:
        docx.add_paragraph(f"{student_name}  同学：", align="center", bold=True, dq=5, dh=5)
        p1 = docx.add_blank_paragraph()
        p1.add_run_to_p(title_info, size=10)

    sub_title_maker(docx, "词汇精准学", "智能定制你的专属英语DNA图谱")

    tb = Table(docx, 1, 1, border=True, tb_name="词汇精准学")
    tb.set_tb_colum_width(0, 460)
    tb.set_cell_text(0, 0, "按顺序朗读生词表两遍。\n（1）用红笔在不会的单词序号上打星号，增加记忆。\n（2）朗读例句，不认识的部分参照译文理解。",
                     align="left", size=10, dq=10, dh=10)
    docx.add_blank_paragraph()


@time_use
def section_4_1(docx: Word, json_data, *args, **kwargs):
    def insert_content(row, col, data, qrcode_result: dict):

        cell_outside = tb_outside.get_cell(row, col, delete_default_para=True)
        tb_inside = Table(cell_outside, rows=5, cols=3, tb_name="内部内容")

        tb_inside.merge_cell(0, 0, 0, 2)
        tb_inside.merge_cell(1, 0, 1, 2)

        tb_inside.merge_cell(2, 0, 2, 2)
        tb_inside.merge_cell(3, 0, 3, 2)
        tb_inside.merge_cell(4, 0, 4, 2)

        num_calucate = 2 * row + 1 if col == 0 else 2 * row + 2
        p = ParagraphBase(tb_inside.get_cell_paragraph(0, 0, align="left"))
        p.add_run_to_p(num_dict[num_calucate], bold=True, size=22, font_name="MS Gothic")
        p.add_run_to_p(' ' + data[0], bold=True, size=20)
        tb_inside.set_cell_text(row=1, column=0, cell_text=data[1] + "  " + data[2], border=False, size=10, align="left",
                                bk_color=(240, 240, 240))

        cell_p = tb_inside.get_cell_paragraph(2, 0, align="left")
        cell_p_1 = ParagraphBase(cell_p)
        cell_p_1.add_run_to_p(data[3], size=10, bold=True)
        cell_p_1.add_run_to_p("   " + data[4], size=8)

        cell_p = tb_inside.get_cell_paragraph(3, 0, align="left")
        cell_p_1 = ParagraphBase(cell_p)
        cell_p_1.add_run_to_p(data[5], size=10, bold=True)
        cell_p_1.add_run_to_p(" " + data[6], size=8)

        cell_p = tb_inside.get_cell_paragraph(4, 0, align="left")
        cell_p_1 = ParagraphBase(cell_p)
        cell_p_1.add_run_to_p(data[7], size=10, bold=True)
        cell_p_1.add_run_to_p(" " + data[8], size=8)

    properties_chinese_map = {"adj": "形容词", "n": "名词", "interj": "感叹词", "conj": "连词", "num": "数字", "art": "冠词",
                              "pron": "代词", "adv": "副词", "prep": "介词", "v": "动词"}
    strange_words_data = []
    strange_words = json_data.get('StrangeWords')
    qrcode_thread = []
    qrcode_result = {}

    for item in strange_words:
        spell = item['Spell']
        word_id = item['WordId']
        en = "" if not item.get("SymbolsEn", "") else item.get("SymbolsEn")
        am = "" if not item.get("SymbolsAm", "") else item.get("SymbolsAm")

        symbols_en = "英" + f'[{en}]'
        symbols_am = "美" + f'[{am}]'

        word_properties = " ".join([properties_chinese_map.get(i, "") for i in item['WordProperties']])
        word_meanings = item.get('Meaning', "")
        word_changes_list = []
        for idx, s in enumerate(item["WordChanges"], start=1):
            s_type, s_spell = s['Type'], s['Spell']
            if "原型" in s_type or "大小写" in s_type:
                continue
            tail = '\n' if idx != len(item["WordChanges"]) else ''
            word_changes_list.append(f"{s_spell}  {s_type}{tail}")
        word_changes = "".join(word_changes_list)

        if item['Sentences']:
            sentences = item['Sentences'][0]['English'] + '\n' + item['Sentences'][0]['Chinese']
        else:
            sentences = ""

        single_word_tuple = (spell, symbols_en, symbols_am, word_properties, word_meanings,
                             "词汇变形", word_changes, "例句", sentences)
        strange_words_data.append(single_word_tuple)

    rows = math.ceil(len(strange_words_data) / 2)
    tb_outside = Table(docx, rows=rows, cols=2, tb_name="外层框架")
    tb_outside.set_tb_colum_width(width=[230, 230])

    for t in qrcode_thread:
        t.join()

    for row in range(rows):
        for col in range(2):
            try:
                data_item = strange_words_data.pop(0)
                insert_content(row, col, data_item, qrcode_result)
            except IndexError:
                break

    docx.add_page_section()


@time_use
def section_5(docx: Word, json_data, *args, **kwargs):
    copy_word_list = [i['Meaning'] for i in json_data.get('StrangeWords')]
    random_copy_word_list = copy_word_list * 3
    shuffle(random_copy_word_list)

    first_copy_word_list = copy_word_list.copy()
    copy_word_list_add_num = [f"{i} ({idx})" for idx, i in enumerate(first_copy_word_list, start=1)]
    shuffle(copy_word_list_add_num)
    total_copy_word_list = copy_word_list_add_num + random_copy_word_list

    sub_title_maker(docx, "单词高效记", "会读会写才算真学会")
    tb = Table(docx, 1, 1, tb_name="高效速记", border=True)
    tb.set_tb_colum_width(0, 460)
    text = ["请在横线上写下对应单词，每格写一遍，尽量默写，默写不出的，可查阅生词表；\n",
            "书写时保持工整；每写完一个单词小声念一遍词义与单词。\n"]
    cell_p = tb.get_cell_paragraph(0, 0, align="left")
    p = ParagraphBase(cell_p)
    p.add_run_to_p("                        高效速记\n", size=16, bold=True, )
    for t in text:
        p.add_run_to_p("☆ ", size=10, font_name="MS Gothic")
        p.add_run_to_p(t, size=10)
    docx.add_blank_paragraph()

    total_count = len(total_copy_word_list)
    half_count = int(total_count / 2)
    tb2 = Table(docx, half_count + 1, 4, tb_name="高效速记下面的单词")
    for row in range(total_count):
        data = total_copy_word_list[row]
        if row < half_count:
            tb2.set_cell_text(row, 0, data, size=9, align="right", border=False, dq=2.5, dh=2)
            tb2.set_cell_text(row, 1, str(row + 1) + "." + "_" * 20, size=9, align="left", border=False, dq=2.5, dh=2)
        else:
            tb2.set_cell_text(row - half_count, 2, data, size=9, align="right", border=False, dq=2.5, dh=2)
            tb2.set_cell_text(row - half_count, 3, str(row + 1) + "." + "_" * 20, size=9, align="left", border=False, dq=2.5, dh=2)

    tb2.set_tb_colum_width(width=[120, 110] * 2)

    docx.add_page_section()


@time_use
def section_6(docx: Word, json_data, *args, **kwargs):
    example_sentence = [f"{index}. {i['Sentences'][0]['English']}  ({i['Spell']})" for index, i in
                        enumerate(json_data['StrangeWords'], start=1) if i['Sentences']]
    sub_title_maker(docx, "例句填填看", "记词义，练拼写，学的快")
    tb = Table(docx, 1, 1, tb_name="例句填填看", border=True)
    tb.set_tb_colum_width(0, 460)
    text = ["请在横线上写下单词在例句中的词义，若想不起来，可随时到例句答案表中查看。\n",
            "参阅过答案的例句，请在句前的“□”中标记问号，以便复习回顾。\n",
            "单词有多个意思的，应只填写适合语境的意思。\n",
            "例句中有不熟悉的单词，请用斜线划掉，以便拍照报告给我们。"]
    cell_p = tb.get_cell_paragraph(0, 0, align="left", dq=10, dh=10)
    p = ParagraphBase(cell_p)
    for t in text:
        p.add_run_to_p("☆ ", size=10, font_name="MS Gothic")
        p.add_run_to_p(t, size=10)

    for i in example_sentence:
        p = docx.add_blank_paragraph(dq=4, dh=4)
        p.add_run_to_p("□  ", size=12, font_name="宋体")
        p.add_run_to_p(i + "___________")

    docx.add_page_section()


@time_use
def section_7(docx: Word, json_data, *args, **kwargs):
    def wanxing(index, article_single):
        article_id = article_single['Id']
        article_length = article_single['AllWordAmount']

        strange_words_ids = [i['MeanId'] for i in json_data['StrangeWords']]

        explanatory_words_ids = [i['MeaningId'] for i in article_single['ExplanatoryWords']]

        select_text = []
        for ques_index, candidates in enumerate(article_single['Questions'], start=1):
            single_select_text = ''
            for s in candidates['Candidates']:
                single_select_text += s['Label'] + '. '
                participle = s['Participle']
                if participle:
                    single_select_text += participle + ' \n'
                else:
                    text = s['Text']
                    single_select_text += text + ' \n'

            select_text.append(f"{ques_index}. {single_select_text}")

        all_select_text = "\n".join(select_text)

        article_main: str = article_single['English'] + "\n\n郑重提示：认真看完全文再看问题。\n\n" + all_select_text
        article_main_list = article_main.split(" ")

        explanatory_words = "\n\n".join(
            [f"{index}. {i['Spell']} [{i['SymbolsEn']}] [{i['SymbolsAm']}] {i['Meaning']}" for index, i in
             enumerate(article_single['ExplanatoryWords'], start=1)])

        sub_title_maker(docx, "真题强化练", "智能匹配难度，轻松提升阅读")
        tb = Table(docx, 1, 1, tb_name="真题强化练", border=True)
        tb.set_tb_colum_width(0, 460)
        text = ["练习中不认识的单词，尽量猜测词义，并用斜线划掉，以便拍照报告给我们。\n\n",
                "答题完毕后，可查字典，并注释在右侧批注区，不要在原文上注释。复习时不必通读全文，结合上下文能回忆起标记词的词义即可，想不起的再对照批注区。\n",
                "完形填空是优秀的测验题型，却不适合用于训练阅读能力和提升词汇量，所以建议在阅读能力（理解度、速度、难度）达标后再做完形填空题型练习。\n",
                "阅读能力达标的同学，按三遍法做完形填空，基本可以达到满分。三遍法要求如下：\n",
                "第一遍（理解）：结合选项通读全文，以求理解文章主旨，但不动笔，以免形成成见。\n",
                "第二遍（填空）：通读全文，从候选词中选出适宜项目，将完整的单词填入空格，使文章连贯。\n",
                "第三遍（核验）：通读填空后的全文，确认上下文无矛盾之处。\n",
                "三遍通读均应记录起讫时间，并将速度纳入能力考核项目。能力合格者，考试中也应有充裕时间完成以上 3 遍通读。\n",
                "阅读计时从此处开始，请按顺序完成阅读，并注意记录时间。"]

        text2 = [f"全题长度（含问题及选项）：{article_length}； 编号：{article_id}；\n",
                 "第一遍（理解）开始时间：_________________     第二遍（填空）开始时间：_________________\n",
                 "第三遍（核验）开始时间：_________________"]
        cell_p = tb.get_cell_paragraph(0, 0, align="left", dq=10, dh=10)
        p = ParagraphBase(cell_p)
        for t in text:
            p.add_run_to_p("☆ ", size=10, font_name="MS Gothic")
            p.add_run_to_p(t, size=10)
        for t2 in text2:
            p.add_run_to_p(t2, size=10)

        docx.add_blank_paragraph()

        tb1 = Table(docx, 1, 3)
        tb1.set_tb_colum_width(width=[90, 370, 5])

        tb1_p = ParagraphBase(tb1.get_cell_paragraph(0, 0, align="left"))
        tb1_p.add_pic("make_docx_demo/static/lianxi1.jpg", width=2.5)
        tb1.set_cell_text(0, 1, f"篇幅（含问题选项）：{article_length} 词	阅读开始时间：_____点_____分_____秒",
                          size=9.5, border=False, align="left")

        tb2 = Table(docx, rows=1, cols=2, border=True, tb_name="完形填空")
        tb2.set_tb_colum_width(width=[320, 140])

        tb2_p = ParagraphBase(tb2.get_cell_paragraph(0, 0, align="left"))
        for w in article_main_list:
            word = re.search(r"\[(\d+)]", w)
            if word:
                w = w[:w.find('[')]
                meaning_id = int(word.group(1))
                if meaning_id in strange_words_ids:
                    tb2_p.add_run_to_p(w + ' ', size=10.5, bold=True)
                elif meaning_id in explanatory_words_ids:
                    tb2_p.add_run_to_p(w + ' ', size=10.5, italic=True)
                else:
                    tb2_p.add_run_to_p(w + ' ', size=10.5)
            else:
                tb2_p.add_run_to_p(w + ' ', size=10.5)

        tb2.set_cell_text(0, 1, explanatory_words, size=10.5, font_color=(80, 80, 80), align="left")

        docx.add_blank_paragraph()
        tail_zhushi = """第一遍（理解）结束时间：__________用时：____秒
第二遍（填空）结束时间：__________用时：____秒
第三遍（核验）结束时间：__________用时：____秒
总计用时：____分____秒
"""
        docx.add_paragraph(tail_zhushi, size=10.5)
        docx.add_blank_paragraph()

    def reading(index, article_single):

        def single_yuedu(index, a):
            article_id = a['Id']
            article_length = a['AllWordAmount']

            strange_words_ids = set()
            explanatory_words_ids = set()
            bold_word = set()
            italics_word = set()
            italics_index_dict = {}

            for i in json_data['StrangeWords']:
                strange_words_ids.add(i['MeanId'])
                bold_word.add(i['Spell'])
                bold_word.update([change_word['Spell'] for change_word in i['WordChanges']])
            for italics_index, ii in enumerate(a['ExplanatoryWords'], start=1):
                explanatory_words_ids.add(ii['MeaningId'])
                italics_word.add(ii['Spell'])
                if 'WordChanges' in ii:
                    italics_word.update([change_word['Spell'] for change_word in ii['WordChanges']])
                    italics_index_dict.update({change_word['Spell']: f"[{italics_index}]" for change_word in ii['WordChanges']})

                italics_index_dict[ii['MeaningId']] = f"[{italics_index}]"
                italics_index_dict[ii['Spell']] = f"[{italics_index}]"

            select_text = []
            for ques_index, candidates in enumerate(a['Questions'], start=1):
                single_select_text = ''

                subject = candidates['Subject'] + '\n'
                for s in candidates['Candidates']:
                    single_select_text += s['Label'] + '. '
                    participle = s['Participle']
                    if participle:
                        single_select_text += participle + ' \n'
                    else:
                        text = s['Text']
                        single_select_text += text + ' \n'
                select_text.append(str(ques_index) + ". " + subject + single_select_text)

            all_select_text = "\n".join(select_text)

            article_main: str = a['English'] + "\n\n郑重提示：认真看完全文再看问题。\n" + all_select_text
            article_main_list = split_text_to_word_punctuation(article_main)

            explanatory_words = "\n\n".join(
                [f"{index}. {i['Spell']}\n [{i['SymbolsEn']}] [{i['SymbolsAm']}]\n {i['Meaning']}" for index, i in
                 enumerate(a['ExplanatoryWords'], start=1)])

            tb1 = Table(docx, 1, 3, tb_name="图片小标题")
            tb1.set_tb_colum_width(width=[90, 370, 5])

            tb1_p = ParagraphBase(tb1.get_cell_paragraph(0, 0, align="left"))
            tb1_p.add_pic(f"make_docx_demo/static/lianxi{index}.jpg", width=2.5)
            tb1.set_cell_text(0, 1, f"篇幅（含问题选项）：{article_length} 词	阅读开始时间：_____点_____分_____秒",
                              size=9.5, border=False, align="left")

            tb2 = Table(docx, rows=1, cols=2, border=True, tb_name="阅读")
            tb2.set_tb_colum_width(width=[320, 140])

            tb2_p = ParagraphBase(tb2.get_cell_paragraph(0, 0, align="left"))
            for w in article_main_list:
                word = re.search(r"\[(\d+)]", w)
                if word:
                    w = w[:w.find('[')]
                    meaning_id = int(word.group(1))
                    if meaning_id in strange_words_ids:
                        tb2_p.add_run_to_p(w + ' ', size=10.5, bold=True)
                    elif meaning_id in explanatory_words_ids:
                        italics_index_str = italics_index_dict[meaning_id]
                        tb2_p.add_run_to_p(w + f'{italics_index_str} ', size=10.5, italic=True)
                    else:
                        tb2_p.add_run_to_p(w + ' ', size=10.5)

                else:
                    if w in bold_word:
                        tb2_p.add_run_to_p(w + ' ', size=10.5, bold=True)
                    elif w in italics_word:
                        italics_index_str = italics_index_dict[w]
                        tb2_p.add_run_to_p(w + f'{italics_index_str} ', size=10.5, italic=True)
                    else:
                        tb2_p.add_run_to_p(w + ' ', size=10.5)

            tb2.set_cell_text(0, 1, explanatory_words, size=10.5, font_color=(80, 80, 80), align="left", centre=False, line_spacing=300)

            docx.add_blank_paragraph()
            tail_zhushi = """完成时间：_____点_____分_____秒，本篇用时：_____秒。"""
            docx.add_paragraph(tail_zhushi, size=10.5)
            docx.add_blank_paragraph()

        def top_header():
            sub_title_maker(docx, "阅读提升练", "智能匹配难度，轻松提升阅读", "鲍利提分, 高效学习专家")

            tb = Table(docx, 1, 1, tb_name="真题强化练", border=True)
            tb.set_tb_colum_width(0, 460)
            text = ["阅读中不认识的单词，尽量猜测词义，并用斜线划掉，以便拍照报告给我们。\n",
                    "读完全文后，可查字典，并抄在右侧批注区，不要在原文上注释。复习时不必通读全文，结合上下文能回忆起标记词的词义即可，想不起的再对照批注区。\n",
                    "阅读训练的目的是提高对英语词、句、篇的敏感度，答题只是检验学习成果的手段，所以切勿为了快速做题而跳读、略读。阅读速度是很重要的训练指标，请在确实理解词句的基础上尽量提高阅读速度。只要平时扎实阅读，考试中不会没有时间认真读题。\n",
                    "阅读计时从此处开始，请按顺序完成阅读，并注意记录时间。\n\n",
                    "生词划线示例：competitions she once attended. Incuding her years of experience"
                    ]
            cell_p = tb.get_cell_paragraph(0, 0, align="left", dq=10, dh=10)
            pp = ParagraphBase(cell_p)
            for index_t, t in enumerate(text):
                if index_t == len(text) - 1:
                    pp.add_run_to_p(t, size=12)
                    pp.add_rectangle('', x=115, y=170, width=55, height=25, boder_color='000000', shape_type='line')
                    pp.add_rectangle('', x=298, y=170, width=55, height=25, boder_color='000000', shape_type='line')
                else:
                    pp.add_run_to_p("☆ ", size=10, font_name="MS Gothic")
                    pp.add_run_to_p(t, size=10)

            docx.add_blank_paragraph()

        "---------------------开始单篇运行---------------------"
        if index == 1:
            top_header()
        single_yuedu(index, article_single)

    def seven_to_five(index, article_single):
        article_id = article_single['Id']
        article_length = article_single['AllWordAmount']

        strange_words_ids = [i['MeanId'] for i in json_data['StrangeWords']]

        explanatory_words_ids = [i['MeaningId'] for i in article_single['ExplanatoryWords']]

        select_text = []
        for ques_index, s_candidates in enumerate(article_single['Candidates'], start=1):
            single_select_text = ''
            single_select_text += s_candidates['Label'] + '. '
            participle = s_candidates['Participle']
            if participle:
                single_select_text += participle
            else:
                text = s_candidates['Text']
                single_select_text += text

            select_text.append(f"{single_select_text}")

        all_select_text = "\n".join(select_text)

        article_main: str = article_single['English'] + "\n\n郑重提示：认真看完全文再看问题。\n\n" + all_select_text
        article_main_list = article_main.split(" ")

        explanatory_words = "\n\n".join(
            [f"{index}. {i['Spell']} [{i['SymbolsEn']}] [{i['SymbolsAm']}] {i['Meaning']}" for index, i in
             enumerate(article_single['ExplanatoryWords'], start=1)])

        sub_title_maker(docx, "阅读提升练", "智能匹配难度，轻松提升阅读", "鲍利提分, 高效学习专家")
        tb = Table(docx, 1, 1, tb_name="真题强化练", border=True)
        tb.set_tb_colum_width(0, 460)
        text = ["阅读中不认识的单词，尽量猜测词义，并用斜线划掉，以便拍照报告给我们。\n",
                "读完全文后，可查字典，并抄在右侧批注区，不要在原文上注释。复习时不必通读全文，结合上下文能回忆起标记词的词义即可，想不起的再对照批注区。\n",
                "7 选 5 题型是测试学生对文章理解程度的好题型，但因打破里文章的连贯性，故不是训练阅读能力的好素材。建议学生在阅读基本能力（理解度、速度、难度）达标后再开展 7 选 5 题型训练。若不能胜任本练习，请回到词汇与阅读训练，先打好基础。\n",
                "阅读计时从此处开始，请按顺序完成阅读，并注意记录时间。"]
        cell_p = tb.get_cell_paragraph(0, 0, align="left", dq=10, dh=10)
        p = ParagraphBase(cell_p)
        for t in text:
            p.add_run_to_p("☆ ", size=10, font_name="MS Gothic")
            p.add_run_to_p(t, size=10)

        docx.add_blank_paragraph()

        tb1 = Table(docx, 1, 3, tb_name="图片小标题")
        tb1.set_tb_colum_width(width=[90, 370, 5])

        tb1_p = ParagraphBase(tb1.get_cell_paragraph(0, 0, align="left"))
        tb1_p.add_pic("make_docx_demo/static/lianxi1.jpg", width=2.5)
        tb1.set_cell_text(0, 1, f"篇幅（含问题选项）：{article_length} 词	阅读开始时间：_____点_____分_____秒",
                          size=9.5, border=False, align="left")

        tb2 = Table(docx, rows=1, cols=2, border=True, tb_name="七选五")
        tb2.set_tb_colum_width(width=[320, 140])

        tb2_p = ParagraphBase(tb2.get_cell_paragraph(0, 0, align="left"))
        for w in article_main_list:
            word = re.search(r"\[(\d+)]", w)
            if word:
                w = w[:w.find('[')]
                meaning_id = int(word.group(1))
                if meaning_id in strange_words_ids:
                    tb2_p.add_run_to_p(w + ' ', size=10.5, bold=True)
                elif meaning_id in explanatory_words_ids:
                    tb2_p.add_run_to_p(w + ' ', size=10.5, italic=True)
                else:
                    tb2_p.add_run_to_p(w + ' ', size=10.5)
            else:
                tb2_p.add_run_to_p(w + ' ', size=10.5)

        tb2.set_cell_text(0, 1, explanatory_words, size=10.5, font_color=(80, 80, 80), align="left")

        docx.add_blank_paragraph()

    "判断题型；根据题型选择----------------------------"

    all_article_length = 0

    for index, article_single in enumerate(json_data['Articles'], start=1):
        article_type = article_single['Category']

        article_type_select = {1: reading, 2: wanxing, 3: seven_to_five}

        assert article_type in article_type_select
        article_type_select[article_type](index, article_single)

        article_length = article_single['AllWordAmount']
        all_article_length += article_length

    tail_zhushi = f"""阅读计时在此结束。
今日总计阅读量 {all_article_length} 词，用时________秒，整份学案共有_______个题目答对。"""
    docx.add_paragraph(tail_zhushi, size=10.5)
    docx.add_blank_paragraph()

    docx.add_page_section()


@time_use
def section_9(docx: Word, json_data, *args, **kwargs):
    def wanxing(index, article_count, article_single):
        chinese_article = article_single['Chinese']
        all_analysis = ''
        docx.add_paragraph("答案和解析", chinese_font_name="微软雅黑", dq=5, dh=5, bold=True)

        for ques_index, question_item in enumerate(article_single['Questions'], start=1):
            analysis = question_item['Analysis'].strip()
            abcd_label = ''

            candidates = question_item['Candidates']
            for abcd_selected in candidates:
                if abcd_selected['IsRight']:
                    abcd_label += abcd_selected['Label'].strip()

            all_analysis += f"{ques_index}.\n{abcd_label}  {analysis}\n"

        docx.add_paragraph(all_analysis, size=9)
        docx.add_paragraph("全文参考译文", chinese_font_name="微软雅黑", dq=15, dh=5, bold=True)
        docx.add_paragraph(chinese_article, size=9, dq=5, dh=5, line_spacing=300)

    def reading(index, article_count, article_single):
        """
        index : 外面传入，从1开始。如果只有
        """
        all_analysis = ''
        all_difficult_sentences = []

        chinese_article = article_single['Chinese']

        questions = article_single['Questions']
        for ques_index, question_item in enumerate(questions, start=1):
            analysis = question_item['Analysis'].strip("\n")
            abcd_label = ''

            candidates = question_item['Candidates']
            for abcd_selected in candidates:
                if abcd_selected['IsRight']:
                    abcd_label += abcd_selected['Label'].strip("\n")

            new_line = "" if ques_index == len(questions) else "\n"
            all_analysis += f"{ques_index}.{abcd_label}  {analysis}{new_line}"

        if index != article_count:
            all_analysis += '\n'

        docx.add_paragraph(f"Passage {index}", chinese_font_name="微软雅黑", dq=5, dh=5, bold=True, size=16)
        docx.add_paragraph("全文参考译文", chinese_font_name="微软雅黑", dq=5, dh=5, bold=True)
        docx.add_paragraph(chinese_article, size=9)

        docx.add_paragraph("答案和解析", chinese_font_name="微软雅黑", dq=5, dh=5, bold=True)
        docx.add_paragraph(all_analysis, size=9)

    def seven_to_five(index, article_count, article_single):
        chinese_article = article_single['Chinese']
        all_analysis = ''

        docx.add_paragraph("答案和解析", chinese_font_name="微软雅黑", dq=5, dh=5, bold=True)

        for q_index, question_item in enumerate(article_single['Questions'], start=1):
            analysis = question_item['Analysis']
            abcd_label = ''

            candidates = question_item['Candidates']
            for abcd_selected in candidates:
                if abcd_selected['IsRight']:
                    abcd_label += abcd_selected['Label']
            all_analysis += f"{q_index}.{abcd_label}  {analysis}\n"

        docx.add_paragraph(all_analysis, size=9)
        docx.add_paragraph("全文参考译文", chinese_font_name="微软雅黑", dq=15, dh=5, bold=True)
        docx.add_paragraph("Passage 1", chinese_font_name="微软雅黑", dq=5, dh=5, bold=True)
        docx.add_paragraph(chinese_article, size=9, dq=5, dh=5, line_spacing=300)

    "判断题型；根据题型选择----------------------------"
    sub_title_maker(docx, "解题自主纠", "自主学习，逐步养成良好学习习惯", "鲍利提分，你的智能教练")
    articles = json_data['Articles']
    article_count = len(articles)
    for index, article_single in enumerate(articles, start=1):
        article_type = article_single['Category']
        article_type_select = {1: reading, 2: wanxing, 3: seven_to_five}
        assert article_type in article_type_select
        article_type_select[article_type](index, article_count, article_single)

    docx.add_docx_component("make_docx_demo/word_component/blank.docx")
    docx.add_page_section()


@time_use
def section_10(docx: Word, json_data, scanpage_format, *args, **kwargs):
    docx.add_paragraph("☆ 请写出词义，再对照筛査表批改。词义顺序可互换;答案意思相符即可，不要求一字不差。批改结果眷抄到筛査表。", size=9, dq=2,
                       dh=2)
    tb = Table(docx, 50, 4, tb_name="写出词义")
    tb.set_tb_colum_width(width=[110, 120, 110, 120])

    for row in range(50):
        tb.set_cell_text(row, 0, str(row + 1) + " " + "rich", size=8.5, dq=1, dh=1, border=False)
        tb.set_cell_text(row, 1, "□________________", size=10, dq=0, dh=0, border=False)
        tb.set_cell_text(row, 2, str(row + 51) + " " + "rich", size=8.5, dq=1, dh=1, border=False)
        tb.set_cell_text(row, 3, "□________________", size=10, dq=0, dh=0, border=False)
    tb.set_row_height(13)
    docx.add_page_break()

    docx.add_paragraph("☆ 请在需要加强学习的词义前方框中划线，两头各超出 1 毫米为宜(示例:□☑52.example);请保持本表整洁并交回。", size=9, dq=2,
                       dh=2)
    tb2 = Table(docx, 25, 8, tb_name="划线表")
    tb2.set_tb_colum_width(width=[57.5] * 8)

    docx.add_blank_paragraph(dq=5, dh=5)

    for row in range(25):
        tb2.set_cell_text(row, 0, "[01] Tuesday", size=8.5, border=False, dq=1.2, dh=1.2)
        tb2.set_cell_text(row, 1, "星期二", size=8.5, border="right", dq=1.2, dh=1.2)
        tb2.set_cell_text(row, 2, "[01] Tuesday", size=8.5, border=False, dq=1.2, dh=1.2)
        tb2.set_cell_text(row, 3, "星期二", size=8.5, border="right", dq=1.2, dh=1.2)
        tb2.set_cell_text(row, 4, "[01] Tuesday", size=8.5, border=False, dq=1.2, dh=1.2)
        tb2.set_cell_text(row, 5, "星期二", size=8.5, border="right", dq=1.2, dh=1.2)
        tb2.set_cell_text(row, 6, "[01] Tuesday", size=8.5, border=False, dq=1.2, dh=1.2)
        tb2.set_cell_text(row, 7, "星期二", size=8.5, border=False, dq=1.2, dh=1.2)

    docx.set_page_column(5)
    docx.add_docx_component("make_docx_demo/word_component/component.docx")
    docx.end_page_column()

    if scanpage_format == 3:
        docx.add_page_section()


@time_use
def two_check_page(docx: Word, json_data, *args, **kwargs):
    def empty_filter_page(class_name, student_name, page_title, page_sub_title, t_datetime, word_data_list):
        page_sub_title = "词汇训练"

        if len(word_data_list) % 2 != 0:
            word_data_list.append("")

        tb = Table(docx, 1, 3, tb_name="头部三元素")
        tb.set_tb_colum_width(width=[40, 100, 100])

        tb.set_tb_colum_width(0, 100)
        tb.set_cell_text(0, 0, f"鲍利提分", border=False, size=16, bold=True, chinese_font_name="黑体")
        tb.set_cell_text(0, 1, f"{class_name}\n{student_name}", border=False, size=8, dh=2)
        tb.set_cell_text(0, 2, f"{page_title}\n{page_sub_title}", border=False, size=8, dh=2)

        docx.add_paragraph("请写出词义，再对照筛查表批改。词义顺序可互换；答案意思相符即可，不要求一字不差。批改结果誊抄到筛查表。", size=9)

        tb = Table(docx, rows=0, cols=4, tb_name="第一页筛查表")

        tb.set_all_border_fastly(xml=True, outside_side_border=True, outside_side_border_size=5)

        half_count = int(len(word_data_list) / 2)
        for index, row in enumerate(range(half_count)):
            first_word, second_word = word_data_list[row], word_data_list[row + half_count]
            cell3 = f"{index + 1 + half_count}. {second_word}" if second_word else ""
            cell4 = "□ ___________________________" if second_word else ""

            data = [f"{index + 1}. {first_word}", "□ ___________________________", cell3, cell4]
            tb.add_table_row_data_xml_fastly(data, font_size=[10.5, 9, 10.5, 9])
        tb.set_row_height(13.8)
        tb.set_table_width_xml([2124, 3257, 2140, 3257])
        blank_count = " " * 80
        p = docx.add_blank_paragraph(dq=5)
        p.add_run_to_p(f"{t_datetime} {page_title}-{page_sub_title}{blank_count}", size=8, chinese_font_name="仿宋", font_name="仿宋")
        docx.add_page_break()

    def filter_table_page(page_id, class_name, student_name, page_title, page_sub_title, t_datetime,
                          foot_description, foot_description2, article_type, word_data_list2):
        page_sub_title = "词汇训练"
        if len(word_data_list2) % 2 != 0:
            word_data_list2.append(["", ""])

        tb = Table(docx, 1, 5, tb_name="头部五元素")
        tb.set_tb_colum_width(width=[80, 100, 120, 150, 70])

        tb.set_cell_text(0, 0, f"鲍利提分", border=False, size=16, bold=True, chinese_font_name="黑体")
        tb.set_cell_text(0, 1, f"{class_name}\n{student_name}", border=False, size=8)
        tb.set_cell_text(0, 2, f"{page_id}", border=False, size=16, dh=2, bold=True, font_name="黑体")
        tb.set_cell_text(0, 3, f"{page_title}\n{page_sub_title}", border=False, size=8)

        p_cell = tb.get_cell_paragraph(0, 4)
        p = ParagraphBase(p_cell)
        io_image = qrcode_maker(f"{page_id}")
        p.add_pic(io_image, width=Inches(0.6))
        io_image.close()

        pp = docx.add_blank_paragraph()

        pp.add_run_to_p("下述词汇相应的词义未掌握的请划掉，并将整个页面拍照给我们，以便记录词汇掌握数据。示例：comfort 4. 舒适,安逸", size=9)
        pp.add_rectangle('', x=540, y=10, width=55, height=0, boder_color='000000', shape_type='line')

        tb = Table(docx, rows=0, cols=4, tb_name="第二页筛查表")

        ## 1234竖着放
        total_row = int(len(word_data_list2) / 2)
        for row in range(total_row):
            spell1, meaning1 = word_data_list2[row]
            spell2, meaning2 = word_data_list2[total_row + row]

            cell3 = f"{spell2}" if spell2 else ""
            cell4 = f"{total_row + row + 1}. {meaning2}" if meaning2 else ""

            data = [f"{spell1}", f"{row + 1}. {meaning1}", cell3, cell4]
            tb.add_table_row_data_xml_fastly(data, font_size=[10.5, 9, 10.5, 9], alignment=['right', 'left', 'right', 'left'])

        tb.set_row_height(13.8)
        tb.set_table_width_xml([2124, 3257, 2140, 3257])

        docx.add_paragraph(f"{t_datetime} {page_title}-{page_sub_title}{foot_description}", size=8, chinese_font_name="仿宋",
                           font_name="仿宋", dq=5)

    student_name = json_data.get("StudentInfo").get("StudentName", '')
    class_name = json_data.get("StudentInfo").get("ClassName", '').replace("词汇突击", "")
    t_datetime = time.strftime("%Y-%m-%d %H:%M", time.localtime())
    article_type = 1
    try:
        article_type = json_data['WordAndArticleContents'][0]['Articles'][0]['Category']
    except Exception as e:
        log_err_e(e, "学案类型不存在就取1，词汇突击里面只有阅读理解")

    """---------------------------------------------------------------------------------"""
    screening_scanPages = json_data['ScreeningScanPages']
    for index, page in enumerate(screening_scanPages, start=1):
        page_id = str(page['PageId']).rjust(11, "0")

        page_title = page['Title']
        page_sub_title = page['SubTitle']
        foot_description = page['FootDescription']
        foot_description2 = page['FootDescription2']

        word_data_list1 = []
        word_data_list2 = []
        for i in page['FilterTable']['Items']:
            word_data_list1.append(i['Spell'])
            word_data_list2.append([i['Spell'], i['Meaning']])

        filter_table_page(page_id, class_name, student_name, page_title, page_sub_title, t_datetime,
                          foot_description, foot_description2, article_type, word_data_list2)

        if index != len(screening_scanPages):
            pass
        docx.add_page_break()


def old_two_check_page(docx: Word, json_data, **kwargs):
    def empty_filter_page(class_name, student_name, page_title, page_sub_title, t_datetime, word_data_list):
        if len(word_data_list) % 2 != 0:
            word_data_list.append("")

        tb = Table(docx, 1, 3, tb_name="头部三元素")
        tb.set_tb_colum_width(width=[140, 100, 100])

        tb.set_cell_text(0, 0, f"鲍利提分", border=False, size=16, bold=True, chinese_font_name="黑体")
        tb.set_cell_text(0, 1, f"{class_name}\n{student_name}", border=False, size=8, dh=2)
        tb.set_cell_text(0, 2, f"{page_title}\n{page_sub_title}", border=False, size=8, dh=2)

        docx.add_paragraph("请写出词义，再对照筛查表批改。词义顺序可互换；答案意思相符即可，不要求一字不差。批改结果誊抄到筛查表。", size=9)

        tb = Table(docx, rows=0, cols=4, tb_name="第一页筛查表")

        tb.set_all_border_fastly(xml=True, outside_side_border=True, outside_side_border_size=5)

        half_count = int(len(word_data_list) / 2)
        for index, row in enumerate(range(half_count)):
            first_word, second_word = word_data_list[row], word_data_list[row + half_count]
            cell3 = f"{index + 1 + half_count}. {second_word}" if second_word else ""
            cell4 = "□ ___________________________" if second_word else ""

            data = [f"{index + 1}. {first_word}", "□ ___________________________", cell3, cell4]
            tb.add_table_row_data_xml_fastly(data, font_size=[10.5, 9, 10.5, 9])
        tb.set_row_height(13.8, first_row_h=6)
        tb.set_table_width_xml([2124, 3257, 2140, 3257])
        blank_count = " " * 80
        p = docx.add_blank_paragraph(dq=5)
        p.add_run_to_p(f"{t_datetime} {page_title}-{page_sub_title}{blank_count}", size=8, chinese_font_name="仿宋", font_name="仿宋")
        docx.add_page_break()

    def filter_table_page(page_id, class_name, student_name, page_title, page_sub_title, t_datetime,
                          foot_description, foot_description2, article_type, word_data_list2):
        if len(word_data_list2) % 2 != 0:
            word_data_list2.append(["", ""])

        tb = Table(docx, 1, 5, tb_name="头部五元素")
        tb.set_tb_colum_width(width=[80, 100, 120, 150, 70])

        tb.set_cell_text(0, 0, f"鲍利提分", border=False, size=16, bold=True, chinese_font_name="黑体")
        tb.set_cell_text(0, 1, f"{class_name}\n{student_name}", border=False, size=8)
        tb.set_cell_text(0, 2, f"{page_id}", border=False, size=16, dh=2, bold=True, font_name="黑体")
        tb.set_cell_text(0, 3, f"{page_title}\n{page_sub_title}", border=False, size=8)

        p_cell = tb.get_cell_paragraph(0, 4)
        p = ParagraphBase(p_cell)
        page_id = int(page_id)
        io_image = qrcode_maker(f"{page_id}")
        p.add_pic(io_image, width=Inches(0.6))
        io_image.close()

        pp = docx.add_blank_paragraph()
        p_base = ParagraphBase(pp)
        p_base.p.add_run_to_p("请在需要加强学习的词义前方框中划线，两头各超出1毫米为宜（示例：", size=9)
        p_base.p.add_pic("make_docx_demo/static/line_example.png", width=Inches(0.8))
        p_base.p.add_run_to_p(" ）；请保持本表整洁并交回。", size=9)

        tb = Table(docx, rows=0, cols=4, tb_name="第二页筛查表")

        ## 1234竖着放
        total_row = int(len(word_data_list2) / 2)
        for row in range(total_row):
            spell1, meaning1 = word_data_list2[row]
            spell2, meaning2 = word_data_list2[total_row + row]

            cell1 = f"{row + 1}. {spell1}" if spell1 else ""
            cell2 = f"□ {meaning1}" if meaning1 else ""

            cell3 = f"{total_row + row + 1}. {spell2}" if spell2 else ""
            cell4 = f"□ {meaning2}" if meaning2 else ""

            data = [cell1, cell2, cell3, cell4]
            tb.add_table_row_data_xml_fastly(data, font_size=[10.5, 9, 10.5, 9])

        tb.set_all_border_fastly(xml=True, outside_side_border=True, outside_side_border_size=5)
        tb.set_row_height(13.6, first_row_h=6)
        tb.set_table_width_xml([2124, 3257, 2140, 3257])
        if article_type == 1:
            docx.add_paragraph(f"{t_datetime} {page_title}-{page_sub_title}{foot_description}", size=8, chinese_font_name="仿宋",
                               font_name="仿宋", dq=5)
            docx.add_paragraph(foot_description2, align="right", size=8, chinese_font_name="仿宋")
        else:
            docx.add_paragraph(f"{t_datetime} {page_title}-{page_sub_title}{foot_description}", size=8, chinese_font_name="仿宋",
                               font_name="仿宋", dq=5)

    student_name = json_data.get("StudentInfo").get("StudentName", '')
    class_name = json_data.get("StudentInfo").get("ClassName", '')
    t_datetime = time.strftime("%Y-%m-%d %H:%M", time.localtime())
    article_type = json_data['WordAndArticleContents'][0]['Articles'][0]['Category']
    is_add_empty_filter_page = json_data['Config']['AddEmptyFilterPage']

    """---------------------------------------------------------------------------------"""
    for index, page in enumerate(json_data['ScreeningScanPages'], start=1):
        page_id = str(page['PageId']).rjust(11, "0")

        if index >= 2:
            docx.add_page_break()

        page_title = page['Title']
        page_sub_title = page['SubTitle']
        foot_description = page['FootDescription']
        foot_description2 = page['FootDescription2']

        word_data_list1 = []
        word_data_list2 = []

        item_list: list = page['FilterTable']['Items']
        item_count = len(item_list)
        if item_count < 100:
            item_list.extend([{"Spell": "", "Meaning": ""} for _ in range(100 - item_count)])

        for i in page['FilterTable']['Items']:
            word_data_list1.append(i['Spell'])
            word_data_list2.append([i['Spell'], i['Meaning']])

        if is_add_empty_filter_page:
            empty_filter_page(class_name, student_name, page_title, page_sub_title, t_datetime, word_data_list1)

        filter_table_page(page_id, class_name, student_name, page_title, page_sub_title, t_datetime,
                          foot_description, foot_description2, article_type, word_data_list2)


@time_use
def other(docx, json_data, *args, **kwargs):
    sections = docx.doc.sections
    for section in sections[:-1]:
        section.top_margin = Inches(0.3)
        section.bottom_margin = Inches(0.4)
        section.left_margin = Inches(0.8)
        section.right_margin = Inches(0.8)
        section.footer_distance = 180000

    sections[-1].top_margin = Inches(0.1)
    sections[-1].bottom_margin = Inches(0.1)
    sections[-1].left_margin = Inches(0.5)
    sections[-1].right_margin = Inches(0.5)

    header_maker(docx, json_data)


def start_make_word(json_data, document_format, scanpage_format):
    parent_path = "make_docx_demo/file_result/"
    if not os.path.exists(parent_path):
        os.makedirs(parent_path)
    try:
        exercise_id = json_data['ExerciseId']

        docx = Word(save_file_name=f"{parent_path}{exercise_id}.docx",
                    start_template_name="make_docx_demo/word_component/start_template.docx")

        section_1(docx=docx, json_data=json_data, scanpage_format=scanpage_format)

        section_4(docx=docx, json_data=json_data, scanpage_format=scanpage_format)

        for exercise_json in json_data['WordAndArticleContents']:
            section_4_1(docx=docx, json_data=exercise_json, scanpage_format=scanpage_format)
            section_5(docx=docx, json_data=exercise_json, scanpage_format=scanpage_format)
            section_6(docx=docx, json_data=exercise_json, scanpage_format=scanpage_format)
            section_7(docx=docx, json_data=exercise_json, scanpage_format=scanpage_format)
            section_9(docx=docx, json_data=exercise_json, scanpage_format=scanpage_format)

        if scanpage_format == 1:

            two_check_page(docx=docx, json_data=json_data, scanpage_format=scanpage_format)

            old_two_check_page(docx=docx, json_data=json_data, scanpage_format=scanpage_format)
        elif scanpage_format == 2:
            section_10(docx=docx, json_data=json_data, scanpage_format=scanpage_format)
        elif scanpage_format == 3:
            section_10(docx=docx, json_data=json_data, scanpage_format=scanpage_format)
            two_check_page(docx=docx, json_data=json_data, scanpage_format=scanpage_format)

        other(docx=docx, json_data=json_data, scanpage_format=scanpage_format)

        docx.save_docx()
        if document_format == 1:
            return f"{parent_path}{exercise_id}.docx"
        else:
            convert_word_to_pdf(f"{parent_path}{exercise_id}")
            return f"{parent_path}{exercise_id}.pdf"

    except Exception as e:
        log_err_e(e)


if __name__ == '__main__':
    import os

    t = time.time()
    os.chdir("..")

    start_make_word(test_json1, 1, 1)
    print(time.time() - t)