new_tiku_structure_v3_sci/structure/stems_structure.py

#!/usr/bin/env/python
# -*- coding:utf-8 -*-

import re
from utils.item_type_line import get_item_head_info
from utils.topic_no import judge_item_no_type, get_right_no, pre_get_item_no


def stems_structure_byno(stem_con):
    """
    按题号进行切分;
    针对无解析的试卷中所有题目的拆分；
    :return:{"stem": , "item_id": , "errmsgs": [],"type":,}
    """
    try:
        while stem_con and ((re.search(r"[\u4e00-\u9fa5]", stem_con[0]) is None) or
                            (re.search(r"[一二三四]\s*[、.．､]\s*[^必考基础综合中等]{2,4}题", stem_con[0]) is None
                             and re.search(r"(^|\n)\s*[1-9][0-9]?\s*[.．、､]((?!(答题卡|涂黑|本卷|2B铅笔|签字笔|密封线)).)*?$",
                                           stem_con[0]) is None)):
            del stem_con[0]
    except:
        return "本份试卷开头格式有问题，请按试卷格式来！"

    stem_str = "\n" + "\n".join(stem_con)

    # 题号格式有条件清洗
    # def sub1(ss):
    #     if int(ss.group(5)) - int(ss.group(2)) in [1, 2]:
    #         return ss.group(1)+"\n"+ss.group(5)+"､"+ss.group(6)
    #     else:
    #         return ss.group(0)
    # stem_str = re.sub(r"(\n\s*([1-4][0-9]|[1-9])\s*[.．、､]((?!\n\s*([1-4][0-9]|[1-9])\s*[.．、､]).)+?)\n+\s*([1-4][0-9]|[1-9])\s*(?![.．、､])([^\s\d]+)", sub1, stem_str, flags=re.S)
    # 也可以用下面方法，但比较啰嗦
    while re.search(r"(\n\s*([1-9][0-9]|[1-9])\s*[.．、､]((?!\n\s*([1-9][0-9]|[1-9])\s*[.．、､]).)+?)"
                    r"\n+\s*([1-9][0-9]|[1-9])\s*(?![.．、､])([^\s\d]+)", stem_str, re.S):
        wrong_id_info = re.search(r"(\n\s*([1-9][0-9]|[1-9])\s*[.．、､]((?!\n\s*([1-9][0-9]|[1-9])\s*[.．、､]).)+?)"
                                  r"\n+\s*([1-9][0-9]|[1-9])\s*(?![.．、､])([^\s\d]+)", stem_str, re.S)
        stem_str = stem_str.replace(wrong_id_info.group(0),
                                    wrong_id_info.group(1)+"\n"+wrong_id_info.group(5)+"､"+wrong_id_info.group(6))
    # print(stem_str)
    # 1、获取题型行信息、按题型行切分
    con11, title_info_dict, choice_class = get_item_head_info(stem_str)

    all_type = title_info_dict["all_type"]
    title_type_num = title_info_dict["title_type_num"]
    select_type_id = title_info_dict["select_type_id"]
    each_item_score, each_item_score2 = title_info_dict["each_item_score"], title_info_dict["each_item_score2"]
    # -------------------------------------------------------
    res = []
    item_type_classify = {}  # 记录每类题型中含有的题目个数，含合并的情况
    item_type_num = []  # 题型不合并
    pic_no = {}  # 记录每个题的图
    new_item_no = []   # 将纠错后的题号再记录一份
    if not all_type:
        print("不存在大题题型行或题型行格式或名称有问题")
        # 初步获取题号，题号类型
        stem_str, item_no_info, item_no_type = judge_item_no_type(stem_str)
        # 获取正确题号的位置，进行切分
        new_item_no, items_no_idx = get_right_no(item_no_info)
        one_item_split = [stem_str[i:j] for i, j in zip(items_no_idx, items_no_idx[1:] + [None])]
        dd = {}
        for n, one_item in enumerate(one_item_split):
            dd["stem"] = one_item
            dd["item_id"] = new_item_no[n]  # 题目本身的题号
            dd["type"] = ""   # 先题型不备注，根据答案再看
            dd["errmsgs"] = []
            dd["score"] = 0
            # if select_type_id and dd["item_id"] in select_type_id:
            #     dd['is_optional'] = 'true'
            res.append(dd)
            dd = {}
            # 先不做拆图处理了
    else:
        # print(all_type, len(con11))
        if len(all_type) == len(con11)-1:  # 第一部分的题型行掉了
            all_type.insert(0, "")
            each_item_score.insert(0, 0)  # 按题型行拿的分数也会掉，先补上默认的0
        elif len(all_type) != len(con11):
            print("第二种试卷格式：存在题型行没有换行")  # 可能造成题目和题型行在同一行
            # return "存在题型行末尾没有换行或题型行中题型不明确"
        # else:
        #     # print(all_type)
        #     if "非选择题" in all_type:
        #         error_info1 = "第" + str(all_type.index("非选择题")+1) + "大题的题型不明确"
        #     if any([True for one_type in all_type if re.search("必考基础综合中等面列下各", one_type)]):
        #         error_info1 = "存在题型行中题型不明确"

        # ---------------------------------------------------------------------
        # 思路：>>>>先纠正题号，再拆分题目；等切分好后再纠正（删减添加操作）比较费时
        # 按题号切分，可再加些细节!!!! 1>>题号不要求连续

        # 初步判断题号类型
        stem_str, item_no_info, item_no_type = judge_item_no_type(stem_str)
        # >>>>切分题目
        for num, one_type in enumerate(con11):
            # 初步获取题号
            item_no_info = pre_get_item_no("\n"+one_type, item_no_type)
            # 获取正确题号的位置，进行切分
            if res:
                items_no_temp, items_no_idx = get_right_no(item_no_info, have_type=1, last_id=res[-1]["item_id"])
            else:
                items_no_temp, items_no_idx = get_right_no(item_no_info)

            is_from_0 = 1
            if items_no_temp and items_no_idx[0] != 0 and items_no_temp[0] > 1:  # 以防出现题号漏了的情况
                items_no_idx.insert(0, 0)
                is_from_0 = 0
            one_item_split = [("\n" + one_type)[i:j] for i, j in zip(items_no_idx, items_no_idx[1:] + [None])]

            # ------------------每个大题的第一题前面的图可能有漏的情况------------------------
            may_oimt_pic = []
            if not is_from_0:
                may_oimt_pic_info = re.search("\n(<imgsrc.+?/>(\s*<imgsrc((?!/>).)+?/>)*?)\s*\n?$", one_item_split[0])
                if may_oimt_pic_info:
                    if len(one_item_split) > 1 and re.search("如[上下左右]?图", one_item_split[1]):
                        may_oimt_pic.extend(re.findall("<imgsrc.+?/>", may_oimt_pic_info.group(1)))
            # print("may_oimt_pic:", may_oimt_pic)
            # ------------------------------------------------------------------
            if len(all_type) == len(con11):
                if not is_from_0:
                    if all_type[num] and all_type[num].replace("题", "") not in ['选择', '单选', '多选', '不定选择']:
                        one_item_split = one_item_split[1:]
                    else:  # 针对选择题第1题或前面几题题号漏了的情况
                        one_item_split1 = one_item_split[1:]
                        # ------针对分错的细节继续拆分，如上一题选项行与下一题题干没有换行-----------------
                        new_one_item_split = []
                        pattern_1 = re.compile(
                            r"([CDE]\s*[.．、､].+?)(?<![:：])\s([1-9]|1[0-9])\s*[.．、､](.+?([是为有]|等于)[(（]\s*[)）]\n)")
                        pattern_2 = re.compile(
                            r"(([CDE]\s*[.．、､]|\([CDE]\)).+?)(?<![:：])\s\(([1-9]|1[0-9])\)(.+?([是为有]|等于)[(（]\s*[)）]\n)")
                        for nn, one_item in enumerate(one_item_split1):
                            if item_no_type == 1 and re.search(pattern_1, one_item):
                                err_optcon = re.sub(pattern_1, r"\1【】\3", one_item)  # 太粗糙了
                                new_one_item_split.extend(err_optcon.split("【】"))
                                items_no_temp.insert(nn+1, int(re.search(pattern_1, one_item).group(2)))
                            elif item_no_type == 2 and re.search(pattern_2, one_item):
                                err_optcon = re.sub(pattern_2, r"\1【】\4", one_item)
                                new_one_item_split.extend(err_optcon.split("【】"))
                                items_no_temp.insert(nn + 1, int(re.search(pattern_2, one_item).group(3)))
                            else:
                                new_one_item_split.append(one_item)

                        if re.search(r'(^|\n)+\s*[A-Z]\s*[.．、､]|(^|\n)+\s*[(（]\s*[A-Z]\s*[)）]\s*[.．、､]?',
                                    str(one_item_split[0]).strip(), re.S) or \
                           re.search("如[上下左右]图|[(（]\s+[）)]\s*($|\n)", one_item_split[0].strip()):
                            new_one_item_split.insert(0, one_item_split[0])
                            items_no_temp.insert(0, items_no_temp[0]-1)
                        one_item_split = new_one_item_split
                    # ----------------------------------------------------------
                if all_type[num] in item_type_classify:  # 统计每类题型含有的题目个数
                    item_type_classify[all_type[num]] += len(one_item_split)
                elif all_type[num]:
                    item_type_classify[all_type[num]] = len(one_item_split)
                item_type_num.append((all_type[num], len(one_item_split)))
            else:
                if not is_from_0:
                    one_item_split = one_item_split[1:]

            new_item_no.extend(items_no_temp)
            # ---------------------------------------------------------------
            # 从题型行中判断单选和多选   放在这里收集也可以：可可能出现两不同题型行提到的序号一样
            # choice_class = {}
            # if all_type[num] == "选择题":
            #     multi_choice_info = re.findall("[\s,，；;(（]+第?(\d+)[至到\-~]+(\d+)题[是为]([多单])项?选择?题?",
            #                                    all_type_info[num][2])
            #     if multi_choice_info:
            #         for mu in multi_choice_info:
            #             choice_class[mu[2]] = list(range(int(mu[0]), int(mu[1]) + 1))
            # ---------------------------------------------------------------
            dd = {}
            for nn, one_item in enumerate(one_item_split):
                dd["stem"] = one_item
                #------------------对每个大题的第一题加上may_oimt_pic--------------------------
                if nn==0 and may_oimt_pic:
                    dd['susp_pic'] = may_oimt_pic
                # ------------------------------------------------------------------------
                dd["item_id"] = items_no_temp[nn]
                dd["score"] = each_item_score[num]
                if not dd["score"] and each_item_score2 and str(dd["item_id"]) in each_item_score2.keys():
                    dd["score"] = each_item_score2[str(dd["item_id"])]
                dd["errmsgs"] = []
                if all_type[num] and re.search("必考基础综合中等面列下各非", all_type[num]) is None:
                    dd["type"] = all_type[num] if re.sub('[(（]', "", all_type[num]) != '本大题' else "解答题"
                else:
                    dd["type"] = ""
                if choice_class:
                    for k, v in choice_class.items():
                        if dd["item_id"] in v:
                            dd["type"] = k + "选题"
                        # elif len(choice_class) == 1:
                        #     dd["type"] = "多选题" if k == "单" else "单选题"
                if select_type_id and dd["item_id"] in select_type_id:
                    dd['is_optional'] = 'true'
                if len(one_item_split) == 1 and dd["score"] == 0.0 and title_info_dict["total_score"][num] > 0.0:
                    dd["score"] = title_info_dict["total_score"][num]
                res.append(dd)

                # 多图在一起的情况进行拆分
                # if len(re.findall(r"第?\(?([1-9]|[1-4][0-9])\)?\s*题图", one_item)) > 1 and \
                #         re.search(r"<imgsrc\d.+?\n+\s*第?\(?([1-9]|[1-4][0-9])\)?\s*题图", one_item, re.S):
                pic_info = re.search(r"(<imgsrc\d.+?)\n+\s*((第?\(?([1-9]|[1-9][0-9])\)?\s*题图.?\s*){2,})", one_item, re.S)
                if pic_info:
                    pic_list = re.findall(r"<imgsrc\d.*?/>", pic_info.group(1))
                    pic_w = re.findall("([1-9]|[1-9][0-9])[)）]?\s*(?=题)", pic_info.group(2))
                    if len(pic_list) >= len(pic_w):
                        pic_no = {int(p): pic_list[len(pic_list) - len(pic_w) + k] for k, p in enumerate(pic_w)}
                        dd["stem"] = dd["stem"].replace(pic_info.group(2), "")
                        for k, pic in enumerate(pic_list[::-1]):
                            if k < len(pic_w):
                                dd["stem"] = dd["stem"].replace(pic, "")
                # -----------------------------------------------------
                dd = {}
    if pic_no:
        for i in list(pic_no.keys()):
            res[i-1]["stem"] = res[i-1]["stem"].strip() + "\n" + pic_no[i] + "\n" + "第" + str(i) + "题图"
    # ----------------------------------------------------------------------
    # 可能出现选择题类的选做题
    # --------最后判断一下题量是否正确-----------------------------------------
    # 针对拆分后题量特别多的情况，将拆分后题量与已知题量一样的题目保留
    new_res = []
    right_type = []  # 记录与已知题目个数一样的分块{第几个分块，题型}
    if all_type and sum(list(item_type_classify.values())) > 40:  # 很可能存在大片不是题号的题号
        title_type_num_all = sum([t[1] for t in title_type_num])  # 题型行给出的题目个数
        if title_type_num_all > 0:
            for idx, type_num in enumerate(item_type_num):
                if type_num[1] == title_type_num[idx][1] > 0:  # 同一题型是否题量一致
                    right_type.append((idx, type_num[0]))
                # elif title_type_num[idx][1] == 0 and type_num[1] == 1:
                #     title_type_num[idx][1] = 1
                #     right_type.append((idx, type_num[0]))
                elif title_type_num[idx][1] == 0 and type_num[1] >= 1:  # 2023.6.26
                    title_type_num[idx][1] = type_num[1]
                    right_type.append((idx, type_num[0]))
        print("right_type::item_type_num", right_type, item_type_num)
        if right_type:
            for rtype in right_type:
                for idx, item in enumerate(res):
                    r_st = 0 if rtype[0]==0 else sum([t[1] for t in item_type_num[:rtype[0]]])
                    r_ed = r_st + item_type_num[rtype[0]][1]
                    if item["type"] == rtype[1] and r_st<=idx<r_ed:
                        new_res.append(item)

            res = new_res
            item_type_num = title_type_num   # 将题目已知题型数量信息作为正确信息
            new_item_type_classify = {}
            for i in right_type:
                if title_type_num[i[0]][0] not in new_item_type_classify:
                    new_item_type_classify[title_type_num[i[0]][0]] = title_type_num[i[0]][1]
                else:
                    new_item_type_classify[title_type_num[i[0]][0]] += title_type_num[i[0]][1]
            item_type_classify = new_item_type_classify

    return res, all_type, item_type_classify, item_no_type, item_type_num, new_item_no