BIDI_ML_INFO_EXTRACTION/BiddingKG/dl/interface/Entitys.py

'''
Created on 2018年12月29日

@author: User
'''
from BiddingKG.dl.common.Utils import *
import json
from bs4 import BeautifulSoup
import re

class RelationsTree():
    '''
    @summary: make a attribute tree
    '''
    def __init__(self):
        self.tree = dict()
        self.nodes = dict()
        self.nodes["ROOT"] = self.tree

    def add_relation(self,relation,parent,child):
        if parent in self.nodes:
            _relation = relation+"_"+str(parent)+str(child)
            self.nodes[parent][_relation] = dict()
            self.nodes[child] = self.nodes[parent][_relation]

pattern_attachment = re.compile("\.(?P<attachment>jpg|jpeg|png|swf|tif|pdf|doc|docx|xls|xlsx|zip|rar|tar|7z|wim)$")
class Article():
    '''
    @summary:文章类
    '''
    
    def __init__(self,id,content,sourceContent,doc_id,title,code="",name="",bidway=""):
        '''
        @param:
            id:文章的uuid
            content:文章经过预处理之后的文本
        '''
        self.id = id
        self.content = content
        self.code = code
        self.name = name
        self.sourceContent = sourceContent
        self.doc_id = doc_id
        self.title = title
        self.fingerprint = ""
        self.match_enterprise = []
        self.match_enterprise_type = 0
        self.attachmentTypes = self.getAttachmentTypes(sourceContent)
        self.bidway = bidway

    def toJson(self):
        _dict = {"id":self.id,"content":self.content,"code":self.code,
                 "name":self.name,"sourceContent":"self.sourceContent","doc_id":self.doc_id,"title":self.title}
        return json.dumps(_dict)

    @staticmethod
    def fromJson(_json):
        _dict = json.loads(_json)
        return Article(_dict.get("id"),_dict.get("content"),
                         _dict.get("sourceContent"),_dict.get("doc_id"),_dict.get("title"),_dict.get("code"),_dict.get("name"))




    @staticmethod
    def getAttachmentTypeFromUrl(url):
        _match = re.search(pattern_attachment,url)
        if _match is not None:
            return _match.groupdict().get("attachment")
        return None

    @staticmethod
    def getAttachmentTypes(sourceHtml):
        _soup = BeautifulSoup(sourceHtml,"lxml")
        set_types = set()
        list_a = _soup.find_all("a")
        for _a in list_a:
            _url = _a.attrs.get("href","")
            _type = Article.getAttachmentTypeFromUrl(_url)
            if _type is not None:
                set_types.add(_type)
        list_img = _soup.find_all("img")
        for _img in list_img:
            _url = _img.attrs.get("src","")
            _type = Article.getAttachmentTypeFromUrl(_url)
            if _type is not None:
                set_types.add(_type)
        return ",".join(list(set_types))
        
        
class Sentences():
    '''
    @summary:句子类
    '''
    
    def __init__(self,doc_id,sentence_index,sentence_text,tokens,pos_tags,ner_tags):
        '''
        @param:
            doc_id:文章的uuid
            sentence_index:文章的句子编号
            sentence_text:句子内容
            tokens:句子分词
            pos_tags:词性标注（算法目前没有用到，暂为空）
            ner_tags:实体识别
        
        '''
        self.doc_id = doc_id
        self.sentence_index = sentence_index
        self.sentence_text = sentence_text
        self.tokens = tokens
        self.pos_tags = pos_tags
        self.ner_tags = ner_tags

    def toJson(self):
        _dict = {"doc_id":self.doc_id,"sentence_index":self.sentence_index,"sentence_text":self.sentence_text,
                 "tokens":self.tokens,"pos_tags":self.pos_tags,"ner_tags":self.ner_tags}
        return json.dumps(_dict)

    @staticmethod
    def fromJson(_json):
        _dict = json.loads(_json)
        return Sentences(_dict.get("doc_id"),_dict.get("sentence_index"),_dict.get("sentence_text"),_dict.get("tokens"),
                         _dict.get("pos_tags"),_dict.get("ner_tags"))


class Entity():
    '''
    @summary:实体类
    '''
    
    def __init__(self,doc_id,entity_id,entity_text,entity_type,sentence_index,begin_index,end_index,wordOffset_begin=None,wordOffset_end=None,label=None,values=None,person_phone=None):
        '''
        @param:
            doc_id:文章的uuid
            entity_id:相同实体类型的实体的唯一值，由于抽取算法不唯一，不同类型的实体可能拥有相同entity_id
            entity_text:实体的内容
            entity_type:实体类型
            sentence_index:句子下标
            begin_index:实体所在句子的开始位置
            end_index:实体所在句子的结束位置
            label:实体所属类别
            value:实体的各类别概率值
        '''
        self.doc_id = doc_id
        self.entity_id = entity_id
        self.entity_text = entity_text
        self.entity_type = entity_type
        self.sentence_index = sentence_index
        self.begin_index = begin_index
        self.end_index = end_index
        self.wordOffset_begin = wordOffset_begin
        self.wordOffset_end = wordOffset_end
        self.label = label
        self.values = values
        self.handlabel = True
        self.packageName = "Project"
        self.packageCode = ""
        self.roleName = ""
        self.linked_entitys = []
        self.pointer_pack = None
        self.pointer_money = None
        # self.pointer_person = None
        self.pointer_person = []
        self.pointer_address = None
        self.pointer_tendereeMoney = None
        # self.person_phone = person_phone
        self.person_phone = []
        self.pointer_email = None
        self.is_tail = False
        self.notes = ''  # 2021/7/20 新增，保存金额大小写，单位等备注
        self.money_unit = ''  # 2021/8/17 新增，保存金额单位 元、万元 、亿元
        self.if_dict_match = 0  # 2021/12/21 新增，判断公司实体是否由字典识别得到
        self.is_total_money = 0  # 2021/12/29 新增，判断金额是否总价
        self.is_unit_money = 0  # 2021/12/29 新增，判断金额是否单价

    def set_Role(self,role_label,role_values):
        self.label = int(role_label)
        self.values = [float(i) for i in role_values]
        
    def set_Money(self,money_label,money_values):
        self.label = int(money_label)
        self.values = [float(i) for i in money_values]
        
    def set_Person(self,person_label,person_values,person_phone):
        self.label = int(person_label)
        self.values = [float(i) for i in person_values]
        self.person_phone = person_phone

    def toJson(self):
        _dict = {"doc_id":self.doc_id,"entity_id":self.entity_id,"entity_text":self.entity_text,
                 "entity_type":self.entity_type,"sentence_index":self.sentence_index,"begin_index":self.begin_index,
                 "end_index":self.end_index,"wordOffset_begin":self.wordOffset_begin,"wordOffset_end":self.wordOffset_end,
                 "label":int(self.label) if self.label is not None else None,"values":self.values,"person_phone":self.person_phone}
        return json.dumps(_dict)

    @staticmethod
    def fromJson(_json):
        _dict = json.loads(_json)
        return Entity(_dict.get("doc_id"),_dict.get("entity_id"),_dict.get("entity_text"),_dict.get("entity_type"),
                         _dict.get("sentence_index"),_dict.get("begin_index"),_dict.get("end_index"),_dict.get("wordOffset_begin"),
                         _dict.get("wordOffset_end"),_dict.get("label"),_dict.get("values"),_dict.get("person_phone"))
        
class PREM():
    '''
    @summary:包-标段号-角色-公司实体-金额-金额概率-联系人-联系人概率-联系电话
    '''
    
    def __init__(self,packageName,packageCode,role_name,entity_text,role_prob,money,money_prob,linklist):
        '''
        @param:
            packageName:包名
            packageCode:标段号
            role_name:角色名称
            entity_text:公司实体名称
            role_prob:角色概率
            money:金额
            money_prob:金额概率
            linklist:联系list[联系人,联系电话]
        '''
        self.packageName = packageName
        self.packageCode = packageCode
        self.role_name = role_name
        self.entity_text = entity_text
        self.role_prob = role_prob
        self.money = money
        self.money_prob = money_prob
        self.linklist = linklist
        
    def getString(self,roleList):
        '''
        #不再在这里解决冲突
        count = 0
        for item in roleList:
            if item.entity_text==self.entity_text:
                if item.packageName==self.packageName:
                    count += 1
                else:
                    if "Project" in [item.packageName,self.packageName]:
                        count += 1
        if count==1:
            self.linklist = [item for item in set(self.linklist)]
            result = [self.packageName,self.packageCode,self.role_name,self.entity_text,self.money,self.linklist]
        else:
            result = None
        '''
        self.linklist = [item for item in set(self.linklist)]
        result = [self.packageName,self.packageCode,self.role_name,fitDataByRule(self.entity_text),self.money,self.linklist]
        return result
    
class Role():
    '''
    @summary: 定义一个角色拥有的所有属性
    '''
    
    def __init__(self,role_name,entity_text,role_prob,money,money_prob,linklist):
        
        self.role_name = role_name
        self.entity_text = entity_text
        self.role_prob = role_prob
        self.money = money
        self.money_prob = money_prob
        self.linklist = linklist
        self.money_unit = '' # 2021/8/17 新增 保存金额单位
        
    def getString(self):
        self.linklist = [item for item in set(self.linklist)]
        # result = [self.role_name,fitDataByRule(self.entity_text),self.money,self.linklist]
        result = [self.role_name,fitDataByRule(self.entity_text),self.money,self.linklist, self.money_unit]
        return result

# 用于KM算法的组合配对
class Match():
    def __init__(self,main_role,attribute,value=None):
        '''
        :param main_role: 主要的角色
        :param attribute: 角色的属性
        :param value: 相匹配的权值
        '''
        self.main_role = main_role
        self.attribute = attribute
        self.value = value

if __name__=="__main__":
    a = Article(1,[0.0026275085, 9.795774e-05, 0.00066399743, 0.99661046],"2","4","5")
    b = Article.fromJson(a.toJson())
    print(b.toJson())