帮师妹写的裁判文书内容提取程序：可做进一步提取模板

以你之姓@ 2022-11-03 11:14 136阅读 0赞

### 帮师妹写的裁判文书内容提取：可做进一步提取模板 ###

*  一、提取结果
 *  二、提取内容
 *  三、代码

# 一、提取结果 #

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3B5dGhvbl9fcmVwb3J0ZWQ_size_16_color_FFFFFF_t_70]

# 二、提取内容 #

需求内容为：被告、裁判文书案号、时间、地域、刑事强制措施、罪名、刑罚
     
     整体运用的技术：主要采取的是正则匹配，因为裁判文书的这些表述是存在一定的模式的，法言法语的要求是的语言表述一般比较固定；当然在被告名字处正则匹配可能会遗漏，于是通过pyhanlp实体识别进行了进一步的精确化
     
    
     遇到的一些问题：多主体不同罪名
     
     这一问题主要通过被告名称进行定位，如果名字在该段文字中且存在这一罪名，则形成指向关系，被告犯xx罪

# 三、代码 #

```python
    # -*-  coding: utf-8 -*-
    # Author: cw
    # Datetime : 2020
    # software: PyCharm
    # 收获:
    import time,json,random,re
    from fuzzywuzzy import fuzz
    from tqdm import tqdm
    from pyhanlp import *
    from 数据集处理过程.非结巴而是符号分词 import Symbol_cutword as sy
    #自行封装的读取docx内容的函数
    import pandas as pd
    from common.线程方法化 import Thread_Pool as t
    #自行封装的多线程函数
    from 数据集处理过程.中文数字转阿拉伯 import simple_math as sm
    #自行封装的中文数字转阿拉伯数字的函数
    class Get_message():
        def __init__(self):
            self.file = os.path.dirname(__file__)
        def get_name(self,file):
        	#实体识别：名称
            global name_o
            names,names_o1,names_o2 = [],[],[]
            CRFLexicalAnalyzer = JClass("com.hankcs.hanlp.model.crf.CRFLexicalAnalyzer")
            analyzer = CRFLexicalAnalyzer()
            for t in analyzer.analyze(file):
                if "nr" in str(t):
                    name_o = "".join(re.findall(r'[\u3002\uff1b\uff0c\uff1a\u201c\u201d\uff08\uff09\u3001\uff1f\u300a\u300b\u4e00-\u9fa5]+',str(t).replace("犯", "")))
                    if name_o == "某某":
                        pass
                    else:
                        if len(name_o)<=3:
                            names_o1.append(name_o + "(人名)")
                        else:
                            name_o = name_o[:3]
                            names_o1.append(name_o + "(人名)")
    
    
                elif "nt" in str(t):
                    name_o = "".join(re.findall(r'[\u3002\uff1b\uff0c\uff1a\u201c\u201d\uff08\uff09\u3001\uff1f\u300a\u300b\u4e00-\u9fa5]+',str(t).replace("犯", "")))
                    if name_o == "某某":
                        pass
                    else:
                        names_o1.append(name_o + "(机构名)")
            #print(names_o1)
            if names_o1 != []:
                names = list(set(names_o1))
            return names
        def get_text_from_wenshu(self, file):
            names,user_dict = [],[]
            dataframe= {}
            texts = sy().period_cutword(file)
            # 公开与否
            if "不宜在互联网公布" in texts or len(texts) <= 20:
                dataframe['公开状况'] = "不公开"
                dataframe['案件名称'] = file.split("\\")[-1].split(".")[0]
                names = self.get_name(file.split("\\")[-1].split(".")[0])
                if names == []:
                    dataframe["被告"] = "不明"
                dataframe["被告"] = "".join(names)
                """excel写入"""
                dataframes = pd.DataFrame(dataframe, index=[0])
                writer = pd.ExcelWriter(r"E:\Firefox\shimei2\{name}.xls".format(name=file.split("\\")[-1].split(".")[0]))
                dataframes.to_excel(writer, sheet_name='数据', index=False)
                writer.save()
            else:
                dataframe['公开状况'] = "公开"
                for i in texts[:5]:
                    try:
                        name_ = re.search("被告人(.*?)，",i).group().replace("被告人","").replace("，","")
                        names.append(name_)
                    except:
                        pass
                    #地域准备
                    try:
                        area = re.search("湖南省(.*?)书", i).group().replace("刑事判决书","").replace("刑事裁定书","")
                        dataframe["地域"] = area
                        dataframe["指控机关"] = area+"人民检察院"
                        dataframe["审判法院"] = area+"人民法院"
                    except:
                        pass
                    content = ["被告人", "原告人", "被上诉人", "上诉人"]
                    for n in content:
                        if fuzz.partial_ratio(n, i) > 50:
                            for nrt in self.get_name(i):
                                names.append(nrt)
                #异常
                if names == []:
                    for i in texts[:10]:
                        for nrt in self.get_name(i):
                            names.append(nrt)
                names = list(set(names))
                #print(names)
    
                for yuan in names:#列表前移出错
                    if "检察院" in yuan:
                        if "人名" in yuan:
                            yuan = yuan.split("人名")
                            for yuan_1 in yuan:
                                if "检察" in yuan_1:
                                    yuan2= yuan_1.replace("(机构名)","").replace("(","").replace(")","")
                                    dataframe["指控机关"] = yuan2
                                    dataframe["地域"] = yuan2.replace("人民检察院", "").replace('检察院', '').replace("（机构名）","")
                                else:
                                    names.append(yuan_1.replace("(", "").replace(")", ""))
                        else:
                            dataframe["指控机关"] = yuan.replace("(机构名)","")
                            dataframe["地域"] = yuan.replace("人民检察院", "").replace('检察院', '').replace("(机构名)","")
                        try:
                            for i in range(2):
                                names.remove(yuan)
                        except:
                            pass
                    if "法院" in yuan:
                        if "人名" in yuan:
                            yuan = yuan.split("人名")
                            for yuan_1 in yuan:
                                if "法院" in yuan_1:
                                    yuan2 = yuan_1.replace("(机构名)","").replace("(","").replace(")","")
                                    dataframe["审判法院"]= yuan2
                                    dataframe["地域"] = yuan2.replace("法院", "").replace('人民法院', '').replace("(机构名)","")
                                else:
                                    names.append(yuan_1.replace("(", "").replace(")", ""))
                        else:
                            dataframe["审判法院"] = yuan.replace("人民法院", "").replace('法院', '').replace("(机构名)","").replace("(","").replace(")","")
                            dataframe["地域"] = yuan.replace("法院", "").replace('人民法院', '').replace("(机构名)","").replace("(","").replace(")","")
                        try:
                            for i in range(2):
                                names.remove(yuan)
                        except:
                            pass
                    if "市" in yuan and len(yuan) <=3:
                        try:
                            for i in range(2):
                                names.remove(yuan)
                        except:
                            pass
                if names == []:
                    print(file)
                    names = ["不明"]
    
                dataframe["被告"] = "".join(names).replace("[", "").replace("]", "")
                dataframe["刑事强制措施"] = "无"
                # 裁判文书名字
                dataframe['案件名称'] = file.split("\\")[-1].split(".")[0]
                # 案号
                try:
                    number = re.search("（(.*?)号", texts[0].strip()).group()
                    dataframe["案号"] = number
                    #dataframe["时间"] = re.search("（(.*?)）", number).group().replace("（", "").replace("）", "")
                except:
                    number = re.search("湘(.*?)号", texts[0]).group()
                    dataframe["案号"] = number
    
                for i in texts:
                    if '〇' in i:
                        reg = '([\u96f6\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e\u5343\u4e07\u3007]+)年'
                        time = "".join(re.findall(reg, i))[:4]
                        time = sm(time)
                        dataframe["时间"] = time
                    for na in names:
                        if na in i:
                            if fuzz.partial_ratio("查封", i) > 80:
                                dataframe["刑事强制措施"] = f"查封:{na}"
                            elif fuzz.partial_ratio("扣押", i) > 80:
                                dataframe["刑事强制措施"] = f"扣押:{na}"
                            elif fuzz.partial_ratio("冻结", i) > 80:
                                dataframe["刑事强制措施"] = f"冻结:{na}"
                            elif fuzz.partial_ratio("逮捕", i) > 80:
                                dataframe["刑事强制措施"] = f"逮捕:{na}"
                    if fuzz.partial_ratio("查封", i) > 80:
                        dataframe["刑事强制措施"] = f"查封:{na}"
                    elif fuzz.partial_ratio("扣押", i) > 80:
                        dataframe["刑事强制措施"] = f"扣押:{na}"
                    elif fuzz.partial_ratio("冻结", i) > 80:
                        dataframe["刑事强制措施"] = f"冻结:{na}"
                    elif fuzz.partial_ratio("逮捕", i) > 80:
                        dataframe["刑事强制措施"] = f"逮捕:{na}"
                zuimings= str(re.findall("判决如下(.*?)如不服本判决", "。".join(texts))).replace("[","").replace("]","")+"。"
                zuiming=zuimings.split("。")
    
                #准备
                dataframe["罪名"] = "不明"
                dataframe["刑罚"] = "不明"
                for zuim in zuiming:
                    #有就更新
                    for name_c in names:
                        name_c = name_c.replace("(人名)", "").replace("(机构名)", "")
                        if name_c in zuim and "罪" in zuim:
                            try:
                                zui1 = re.search(f"{name_c}(.*?)罪", zuim).group()
                                dataframe["罪名"] = zui1.replace("[", "").replace("]", "").replace("犯", "-")
                            except:
                                pass
    
                        if "判处" in zuim and "。" in zuim:
                            pen1 = re.search("判处(.*?)。", zuim).group()
                            dataframe["刑罚"] = str(pen1)
                        else:
                            try:
                                pen1 = re.search("判处(.*?)）", str(zuim)+"）#").group()
                                dataframe["刑罚"] = str(pen1)
                            except:
                                pass
    
                #异常情况
                if dataframe["罪名"] == "不明":
                    try:
                        cri = re.search("犯(.*?)罪", zuimings).group().replace("犯", "")
                    except:
                        #print(file)
                        cri = re.search("被告人(.*?)罪",  "。".join(texts)).group().replace("被告人", "").replace("一","")
                    if cri != []:
                        dataframe["罪名"] = cri
                if dataframe["刑罚"] == "不明":
                    try:#应对裁判文书出现序列错误
                        pen1 = re.search("判处(.*?)。", zuimings).group().replace("判处", "")
                    except:
                        try:
                            pen1 = re.search("判(.*?)。", "。".join(texts)).group().replace("判", "")
                        except:
                            try:
                                pen1 = re.search("判(.*?)）", "。".join(texts)).group().replace("判", "")
                            except:
                                pen1 = "没有提取到相关信息"
                    if pen1 != "没有提取到相关信息" :
                        if len(pen1)>30:
                            pen1 = re.search("判(.*?)）", "。".join(texts)+"）").group().replace("判处", "")
                            dataframe["刑罚"] = pen1[:30]
                        else:
                            dataframe["刑罚"] = pen1
    
    
                """excel写入"""
                #print(dataframe)
                dataframes = pd.DataFrame(dataframe, index=[0])
                writer = pd.ExcelWriter(r"E:\Firefox\shimei2\{name}.xls".format(name=file.split("\\")[-1].split(".")[0]))
                dataframes.to_excel(writer, sheet_name='数据', index=False)
                writer.save()
    
        def threading(self,files):
            threads = glob.glob(os.path.join(files,"*.docx"))
            #print(threads[168:171])
            t(2,self.get_text_from_wenshu,threads).concurrent_Thread_package()
    
    if __name__ == "__main__":
        os.makedirs("E:\Firefox\shimei2")
        #excel文件的存储目录
        files = r"E:\Firefox\shimei_wenshu15"
        #files为目标文件的目录，里面必须是.docx格式的文件，不能是.doc文件格式，因为python没有处理.docg
        Get_message(index).threading(files)

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3B5dGhvbl9fcmVwb3J0ZWQ_size_16_color_FFFFFF_t_70]: /images/20221024/d62a4738105c4fdc82b8a9530f888767.png