Esempio n. 1
0
 def get_all_nodes_and_relationships_from_api(self, etp):
     """
     创建所有的行业实体,实体对象从外部传进来,因为行业可能
     会作为一个相对独立的研究领域,与数据库中企业基本信息中的
     行业可能不完全匹配
     :return:
     """
     etp_n = self.match_node(
         'Enterprise',
         cypher='_.URL = "{}" OR _.NAME = "{}"'
                ''.format(Enterprise.parser_url(etp['url']),
                          etp['name']))
     if etp_n is None:
         etp_n = Enterprise(URL=etp['url'], NAME=etp['name'])
         etp_n = self.get_neo_node(etp_n)
     if etp_n is None:
         return [], []
     nodes, relationships = [], []
     nodes.append(etp_n)
     ind = etp['IndustryV3']
     if ind is None:
         return nodes, relationships
     ind1 = self.get_neo_node(Industry(**{
         'name': ind['Industry'],
         'code': ind['IndustryCode'],
         '类别': '一级'
     }))
     ind2 = self.get_neo_node(Industry(**{
         'name': ind['SubIndustry'],
         'code': ind['SubIndustryCode'],
         '类别': '二级'
     }))
     ind3 = self.get_neo_node(Industry(**{
         'name': ind['MiddleCategory'],
         'code': ind['MiddleCategoryCode'],
         '类别': '三级'
     }))
     ind4 = self.get_neo_node(Industry(**{
         'name': ind['SmallCategory'],
         'code': ind['SmallCategoryCode'],
         '类别': '四级'
     }))
     _ids_ = [ind4, ind3, ind2, ind1]
     ids = []
     for i in _ids_:
         if i is not None:
             ids.append(i)
             nodes.append(i)
     if len(ids):
         relationships.append(Belong(etp_n, ids[0]))
         for i in range(len(ids) - 1):
             relationships.append(Belong(ids[i], ids[i + 1]))
         pass
     return nodes, relationships
     pass
Esempio n. 2
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 def get_all_relationships(self):
     enterprises = self.base.query(
         sql={
             'metaModel': '基本信息',
             # 'name': '重庆长安汽车股份有限公司'
         },
         limit=10000,
         no_cursor_timeout=True)
     i, j = 0, 0
     etp_count = enterprises.count()
     # etp_count = 1000
     relationships = {}
     for ep in enterprises:
         i += 1
         etp = Enterprise(ep)
         rps = self.get_all_relationships_from_enterprise(etp)
         for _rps_ in rps:
             _rps_ = _rps_.to_dict()
             if _rps_['label'] in relationships.keys():
                 relationships[_rps_['label']].append(_rps_)
             else:
                 relationships[_rps_['label']] = [_rps_]
             pass
         if i % 1000 == 0:
             j += 1
             print(SuccessMessage(
                 '{}:success merge nodes to database '
                 'round {} and deal {}/{} enterprise'
                 ''.format(dt.datetime.now(), j, i, etp_count)
             ))
         pass
     return relationships
Esempio n. 3
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 def get_all_nodes(self):
     enterprises = self.base.query(
         sql={
             'metaModel': '基本信息',
             # 'name': {'$in': ns['name'].tolist()}
         },
         limit=10000,
         no_cursor_timeout=True)
     i, j = 0, 0
     # etp_count = enterprises.count()
     etp_count = 1000
     nodes = dict()
     for ep in enterprises:
         i += 1
         etp = Enterprise(ep)
         nds = self.get_all_nodes_from_enterprise(etp)
         for _nds_ in nds:
             if _nds_ is None:
                 continue
             _nds_ = _nds_.to_dict()
             if _nds_['label'] in nodes.keys():
                 nodes[_nds_['label']].append(_nds_)
             else:
                 nodes[_nds_['label']] = [_nds_]
             pass
         if i % 1000 == 0:
             j += 1
             print(SuccessMessage(
                 '{}:success merge nodes to database '
                 'round {} and deal {}/{} enterprise'
                 ''.format(dt.datetime.now(), j, i, etp_count)
             ))
         pass
     return nodes
Esempio n. 4
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    def create_nodes_from_enterprise_baseinfo(self, eb):
        """
        创建企业基本信息衍生出来的所有节点:
        1.企业
        2.法人代表
        3.管理人员
        4.地址
        实际上公司基本信息里面还衍生出了很多实体对象
        但这些对象是在后面随关系一并创建的
        :return:
        """
        nodes = []
        etp = Enterprise(eb)
        etp_n = etp.get_neo_node(primarykey=etp.primarykey)
        if etp_n is None:
            self.to_logs('filed initialize enterprise Neo node',
                         'ERROR', eb['name'])
            return None
        else:
            nodes.append(etp_n)
        try:
            lr = etp.get_legal_representative()
            lr_n = lr.get_neo_node(primarykey=lr.primarykey)
            if lr_n is None:
                self.to_logs('filed initialize legal representative '
                             'Neo node', 'ERROR', eb['name'])
            else:
                nodes.append(lr_n)
        except Exception as e:
            self.to_logs('deal legal representative raise ({})'
                         ''.format(e), 'EXCEPTION', eb['name'])
        try:
            ms = etp.get_manager()
            if len(ms):
                for m in ms:
                    m_n = m['person']
                    m_n = m_n.get_neo_node(primarykey=m_n.primarykey)
                    if m_n is None:
                        self.to_logs('filed initialize major manager '
                                     'Neo node', 'ERROR', eb['name'])

                    else:
                        nodes.append(m_n)
        except Exception as e:
            self.to_logs('deal major managers raise ({})'.format(e),
                         'EXCEPTION', eb['name'])
        try:
            dz = etp.get_address()
            dz_n = dz.get_neo_node(primarykey=dz.primarykey)
            if dz_n is None:
                self.to_logs('filed initialize address Neo node',
                             'ERROR', eb['name'])
            else:
                nodes.append(dz_n)
        except Exception as e:
            self.to_logs('deal address raise ({})'.format(e),
                         'EXCEPTION', eb['name'])

        return nodes
Esempio n. 5
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    def create_all_relationship(self):
        """
        创建从公司基本信息可以看出的关系:
        1.person-[lr]->enterprise
        2.person-[be_in_office]->enterprise
        3.enterprise-[located]->address
        4.person|enterprise-[holding]->enterprise
        :return:
        """
        enterprises = self.base.query(
            sql={
                'metaModel': '基本信息',
                # 'name': '重庆长安汽车股份有限公司'
            },
            limit=1000,
            no_cursor_timeout=True)
        i, j = 0, 0
        etp_count = enterprises.count()
        relationships = []
        for _ in enterprises:
            j += 1
            etp = Enterprise(_)
            rps = self.get_relationship_from_enterprise(etp)
            relationships += rps

            if len(relationships) > 1000:
                i += 1
                self.graph_merge_relationships(relationships)
                if not self.index_and_constraint_statue:
                    self.create_index_and_constraint()
                print(SuccessMessage('{}:success merge relationships to database '
                                     'round {} and deal {}/{} enterprise,and'
                                     ' merge {} relationships.'.format(
                    dt.datetime.now(), i, j, etp_count, len(relationships)
                )))
                relationships.clear()
                # if i > 10:
                #     return
        if len(relationships):
            i += 1
            self.graph_merge_relationships(relationships)
            if not self.index_and_constraint_statue:
                self.create_index_and_constraint()
            print(SuccessMessage('{}:success merge relationships to database '
                                 'round {} and deal {}/{} enterprise,and'
                                 ' merge {} relationships.'.format(
                dt.datetime.now(), i, j, etp_count, len(relationships)
            )))
            relationships.clear()
Esempio n. 6
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    def get_all_nodes_and_relationships_from_enterprise(self, etp):
        etp_n = Enterprise(URL=etp['url'], NAME=etp['name'])
        etp_n = self.get_neo_node(etp_n)
        if etp_n is None:
            return [], []
        nodes, relationships = [], []
        nodes.append(etp_n)

        if '新闻舆情' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['新闻舆情'])
            ns = News.create_from_dict(data)
            for n in ns:
                n_ = n.pop('news')
                n_n = self.get_neo_node(n_)
                if n_n is not None:
                    nodes.append(n_n)
                    relationships.append(
                        Have(etp_n, n_n, **n)
                    )
            pass
        return nodes, relationships
Esempio n. 7
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 def get_all_nodes_and_relationships_from_enterprise(self, etp):
     etp_n = Enterprise(URL=etp['url'], NAME=etp['name'])
     etp_n = self.get_neo_node(etp_n)
     if etp_n is None:
         return [], []
     nodes, relationships = [], []
     nodes.append(etp_n)
     if '竞品信息' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['竞品信息'])
         data = Product.create_from_dict(data)
         for d in data:
             p = d.pop('product')
             p_n = self.get_neo_node(p)
             if p_n is None:
                 continue
             nodes.append(p_n)
             relationships.append(Compete(etp_n, p_n))
             etp_2 = d.pop('关联企业')
             etp_2['链接'] = Enterprise.parser_url(etp_2['链接'])
             if etp_2['名称'] is not None and len(etp_2['名称']) > 1:
                 # etp_2['链接'] = Enterprise.parser_url(etp_2['链接'])
                 etp_n_2 = self.match_node(*legal,
                                           cypher='_.URL = "{}"'.format(
                                               etp_2['链接']))
                 if etp_n_2 is None and len(etp_2['名称']) > 1:
                     etp_n_2 = Enterprise(**etp_2)
                     if not etp_n_2.isEnterprise():
                         _ = {
                             'URL': etp_2['链接'],
                             'NAME': etp_2['名称'],
                             '简介': d.pop('产品介绍'),
                             '成立日期': d.pop('成立日期'),
                             '融资信息': d.pop('融资信息'),
                             '所属地': d.pop('所属地'),
                         }
                         etp_n_2 = Related(**{
                             '链接': etp_2['链接'],
                             '名称': etp_2['名称']
                         })
                     # etp_n_2 = Related(**_)
                     etp_n_2 = self.get_neo_node(etp_n_2)
                 nodes.append(etp_n_2)
                 relationships.append(Produce(etp_n_2, p_n))
     return nodes, relationships
Esempio n. 8
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    def create_all_relationship(self):
        """
        1.enterprise -[have or x]->x
        :return:
        """
        ops = self.base.query(
            sql={
                'metaModel': '经营状况',
                # 'name': '重庆轩烽建材有限公司'
            },
            limit=1000,
            # skip=2000,
            no_cursor_timeout=True)
        i, k = 0, 0
        eg = EtpGraph()
        etp_count = ops.count()
        relationships = []
        # etp = Enterprise()
        for o in ops:
            k += 1
            # TODO(leung): 这里要注意,基本信息以外的模块中的url确定不了公司
            etp_n = self.match_node(*legal,
                                    cypher='_.NAME = "{}"'.format(o['name']))
            if etp_n is None:
                # 如果这个公司还没在数据库里面,那么应该创建这个公司
                _ = self.base.query_one(sql={
                    'metaModel': '基本信息',
                    'name': o['name']
                })
                if _ is not None:
                    etp = Enterprise(_)
                    etp_n = self.get_neo_node(etp)
                    # 虽然在创建司法关系的时候会创建未在库中的企业,但不会创建
                    # 这个企业的基本关系,因此需要添加其基本关系
                    relationships += eg.create_relationship_from_enterprise_baseinfo(
                        _)
                    pass
                else:
                    # 没有这个公司的信息,那就创建一个信息不全的公司
                    # 如果在neo4j里面存着只有name,url的公司,意味着
                    # 这家公司没有“基本信息”
                    etp = Related()
                    etp['NAME'] = o['name']
                    etp['URL'] = o['url']
                    etp_n = self.get_neo_node(etp)
                    pass

            if '产权交易' in etp['content'].keys():
                # data = self.get_format_dict(etp['content']['产权交易'])
                # for d in data:
                #     bd = d.pop('标的')
                #     bd_n =
                pass

            if '行政许可' in etp['content'].keys():
                data = etp['content']['行政许可']
                if '工商局' in data.keys():
                    d1 = self.get_format_dict(data['工商局'])
                    ls = License.create_from_dict(d1, '工商局')
                    for l in ls:
                        l_ = l.pop('license')
                        l_n = self.get_neo_node(l_)
                        if l_n is None:
                            continue
                        relationships.append(
                            Have(etp_n, l_n, **l).get_relationship())
                    pass
                if '信用中国' in data.keys():
                    d2 = self.get_format_dict(data['信用中国'])
                    ls = License.create_from_dict(d2, '信用中国')
                    for l in ls:
                        l_ = l.pop('license')
                        l_n = self.get_neo_node(l_)
                        if l_n is None:
                            continue
                        relationships.append(
                            Have(etp_n, l_n, **l).get_relationship())
                    pass
                pass
            if '招投标信息' in etp['content'].keys():
                # 公示的招投标信息一般都是结果,一般情况下是找不到
                # 共同投标的单位,除非是共同中标
                data = self.get_format_dict(etp['content']['招投标信息'])
                bs = Bidding.create_from_dict(data)
                for b in bs:
                    _ = b.pop('bidding')
                    b_n = self.get_neo_node(_)
                    if b_n is None:
                        continue
                    # TODO(leung):项目分类用作了招投标结果
                    relationships.append(
                        TakePartIn(etp_n, b_n,
                                   **dict(b,
                                          **{'RESULT':
                                             b_n['TYPE']})).get_relationship())
                pass
            if '抽查检查' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['抽查检查'])
                cs = Check.create_from_dict(data)
                for c in cs:
                    _ = c.pop('check')
                    n = self.get_neo_node(_)
                    if n is None:
                        continue
                    relationships.append(
                        Have(etp_n, n,
                             **dict(c, **{'RESULT':
                                          n['RESULT']})).get_relationship())
                pass
            if '双随机抽查' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['双随机抽查'])
                rcs = RandomCheck.create_from_dict(data)
                # rcs_n = self.get_neo_node(rcs)
                for rc in rcs:
                    # TODO(leung):随机抽查没有结果
                    _ = rc.pop('check')
                    n = self.get_neo_node(_)
                    if n is None:
                        continue
                    relationships.append(
                        Have(etp_n, n, **rc).get_relationship())
                pass
            if '税务信用' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['税务信用'])
                ts = TaxCredit.create_from_dict(data)
                # ts_n = self.get_neo_node(ts)
                for t in ts:
                    _ = t.pop('TaxCredit')
                    n = self.get_neo_node(_)
                    if n is None:
                        continue
                    # TODO(leung):纳税信用等级作为税务信用评级结果
                    relationships.append(
                        Have(etp_n, n, **dict(RESULT=n['GRADE'],
                                              **t)).get_relationship())
                pass
            if '进出口信用' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['进出口信用'])
                ies = IAE.create_from_dict(data)
                # ies_n = self.get_neo_node(ies)
                for ie in ies:
                    _ = ie.pop('iae')
                    n = self.get_neo_node(_)
                    if n is None:
                        continue
                    relationships.append(
                        Have(etp_n, n, **ie).get_relationship())
                pass
            if '招聘' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['招聘'])
                rs = Position.create_from_dict(data)
                for r in rs:
                    _ = r.pop('position')
                    n = self.get_neo_node(_)
                    if n is None:
                        continue
                    relationships.append(
                        Recruit(etp_n, n, **r).get_relationship())
                pass
            if '客户' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['客户'])
                cs = Client.create_from_dict(data)
                for c in cs:
                    _ = c.pop('client')
                    n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            _['URL'], _['NAME']))
                    if n is None:
                        n = self.get_neo_node(_)
                        if n is None:
                            continue
                    relationships.append(
                        SellTo(etp_n, n, **c).get_relationship())
                pass
            if '供应商' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['供应商'])
                ss = Supplier.create_from_dict(data)
                for s in ss:
                    _ = s.pop('supplier')
                    n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            _['URL'], _['NAME']))
                    if n is None:
                        n = self.get_neo_node(_)
                        if n is None:
                            continue
                    relationships.append(
                        BuyFrom(etp_n, n, **s).get_relationship())
                pass
            if '信用评级' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['信用评级'])
                for d in data:
                    _ = d.pop('评级公司')
                    n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            _['链接'], _['名称']))
                    if n is None:
                        n = Related()
                        n['NAME'] = _['名称']
                        n['URL'] = _['链接']
                        n = self.get_neo_node(n)
                        if n is None:
                            continue
                    __ = d.pop('内容')
                    d['评级内容'] = __['内容']
                    d['评级链接'] = __['链接']
                    relationships.append(
                        Appraise(n, etp_n, **d).get_relationship())
                pass
            if '土地转让' in etp['content'].keys():
                data = self.get_format_dict(etp['content']['土地转让'])
                for d in data:
                    e1 = d.pop('原土地使用权人')
                    e2 = d.pop('现有土地使用权人')
                    p = Plot(**d)
                    p_n = self.get_neo_node(p)
                    if p_n is None:
                        continue
                    if e1['名称'] == o['name'] or e1['链接'] == o['url']:
                        n1 = etp_n
                    else:
                        # 有可能是人
                        n1 = self.match_node(*legal,
                                             cypher='_.URL = "{}"'.format(
                                                 e1['链接']))
                        if n1 is None:
                            n1 = Related(**e1)
                            n1 = self.get_neo_node(n1)
                    if n1 is not None:
                        relationships.append(Sell(n1, p_n).get_relationship())
                    if e2['名称'] == o['name'] or e2['链接'] == o['url']:
                        n2 = etp_n
                    else:
                        n2 = self.match_node(*legal,
                                             cypher='_.URL = "{}"'.format(
                                                 e2['链接']))
                        if n2 is None:
                            n2 = Related(**e2)
                            n2 = self.get_neo_node(n2)
                    if n2 is not None:
                        relationships.append(Buy(n2, p_n).get_relationship())
                pass

            if len(relationships) > 1000:
                i += 1
                self.graph_merge_relationships(relationships)
                if not self.index_and_constraint_statue:
                    self.create_index_and_constraint()
                print(
                    SuccessMessage(
                        '{}:success merge relationships to database '
                        'round {} and deal {}/{} enterprise,and'
                        ' merge {} relationships.'.format(
                            dt.datetime.now(), i, k, etp_count,
                            len(relationships))))
                relationships.clear()
                # return
        if len(relationships):
            i += 1
            self.graph_merge_relationships(relationships)
            if not self.index_and_constraint_statue:
                self.create_index_and_constraint()
            print(
                SuccessMessage('{}:success merge relationships to database '
                               'round {} and deal {}/{} enterprise,and'
                               ' merge {} relationships.'.format(
                                   dt.datetime.now(), i, k, etp_count,
                                   len(relationships))))
            relationships.clear()
            pass
Esempio n. 9
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 def get_all_nodes_and_relationships(
         self, save_folder=None, **kwargs):
     enterprises = self.base.query(
         sql={
             'metaModel': '基本信息',
             # 'name': '重庆长寿城乡商贸总公司'   # {'$in': ns['name'].tolist()}
         },
         # limit=100000,
         # skip=290000,
         no_cursor_timeout=True)
     i, j = 0, 0
     nc, rc = 0, 0
     etp_count = enterprises.count()
     # etp_count = 1000
     nodes, relationships = {}, {}
     _st_ = time.time()
     for ep in enterprises:
         try:
             i += 1
             etp = Enterprise(ep)
             nds, rps = self.get_all_nodes_and_relationships_from_enterprise(etp)
             for _nds_ in nds:
                 if _nds_ is None:
                     continue
                 label = list(_nds_.labels)[0]
                 _nds_ = dict(label=label, **_nds_)
                 if _nds_['label'] in nodes.keys():
                     nodes[_nds_['label']].append(_nds_)
                 else:
                     nodes[_nds_['label']] = [_nds_]
                 pass
             for _rps_ in rps:
                 _rps_ = _rps_.to_dict()
                 if _rps_['label'] in relationships.keys():
                     relationships[_rps_['label']].append(_rps_)
                 else:
                     relationships[_rps_['label']] = [_rps_]
                 pass
         except Exception as e:
             self.logger.error('{} {}'.format(e, ep['name']),
                               exc_info=True)
             continue
         if i % 10000 == 0:
             j += 1
             if save_folder is not None:
                 _nc_, _rc_ = self.save_graph(
                     save_folder, nodes,
                     relationships, **kwargs)
                 nc += _nc_
                 rc += _rc_
                 nodes.clear()
                 relationships.clear()
             self.logger.info(SuccessMessage(
                 'success trans data to csv round {} and '
                 'deal {}/{} enterprise spend {} seconds.'
                 ''.format(j, i, etp_count, int(time.time() - _st_))
             ))
             _st_ = time.time()
             pass
     if save_folder is not None:
         _nc_, _rc_ = self.save_graph(
             save_folder, nodes,
             relationships, **kwargs)
         nc += _nc_
         rc += _rc_
         nodes.clear()
         relationships.clear()
         self.logger.info('Summary:')
         self.logger.info(' save graph data:')
         self.logger.info('   {} nodes'.format(nc))
         self.logger.info('   {} relationships'.format(rc))
         pass
     return nodes, relationships
Esempio n. 10
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    def create_all_relationship(self):
        """
        1.enterprise -[have]->x
        :return:
        """
        rts = self.base.query(
            sql={'metaModel': '知识产权'},
            # limit=100,
            skip=79175 + 7909,
            no_cursor_timeout=True)
        i, k = 0, 0
        eg = EtpGraph()
        # etp = Enterprise()
        etp_count = rts.count()
        relationships = []
        s_t = time.time()
        for r in rts:
            k += 1
            # TODO(leung): 这里要注意,基本信息以外的模块中的url确定不了公司
            etp_n = self.match_node(*legal,
                                    cypher='_.NAME = "{}"'.format(r['name']))
            if etp_n is None:
                # 如果这个公司还没在数据库里面,那么应该创建这个公司
                _ = self.base.query_one(sql={
                    'metaModel': '基本信息',
                    'name': r['name']
                })
                if _ is not None:
                    etp = Enterprise(_)
                    etp_n = self.get_neo_node(etp)
                    # 虽然在创建司法关系的时候会创建未在库中的企业,但不会创建
                    # 这个企业的基本关系,因此需要添加其基本关系
                    relationships += eg.create_relationship_from_enterprise_baseinfo(
                        _)
                    pass
                else:
                    # 没有这个公司的信息,那就创建一个信息不全的公司
                    etp = Related(**{'名称': r['name'], '链接': r['url']})
                    # etp['NAME'] = r['name']
                    # etp['URL'] = r['url']
                    etp_n = self.get_neo_node(etp)
                    pass
                pass

            if '网站信息' in r['content'].keys():
                data = self.get_format_dict(r['content']['网站信息'])
                webs = Website.create_from_dict(data)
                for web in webs:
                    w = web.pop('website')
                    w_n = self.get_neo_node(w)
                    if w_n is not None:
                        relationships.append(
                            Have(etp_n, w_n, **web).get_relationship())
                pass

            if '证书信息' in r['content'].keys():
                data = self.get_format_dict(r['content']['证书信息'])
                ctfs = Certificate.create_from_dict(data)
                for ctf in ctfs:
                    c = ctf.pop('certificate')
                    c_n = self.get_neo_node(c)
                    if c_n is not None:
                        relationships.append(
                            Have(etp_n, c_n, **ctf).get_relationship())
                pass

            if '专利信息' in r['content'].keys():
                data = self.get_format_dict(r['content']['专利信息'])
                pats = Patent.create_from_dict(data)
                for pat in pats:
                    p = pat.pop('patent')
                    p_n = self.get_neo_node(p)
                    if p_n is not None:
                        relationships.append(
                            Have(etp_n, p_n, **pat).get_relationship())
                pass

            if '商标信息' in r['content'].keys():
                data = self.get_format_dict(r['content']['商标信息'])
                tms = Trademark.create_from_dict(data)
                for tm in tms:
                    t = tm.pop('trademark')
                    t_n = self.get_neo_node(t)
                    if t_n is not None:
                        relationships.append(
                            Have(etp_n, t_n, **tm).get_relationship())
                pass

            if '软件著作权' in r['content'].keys():
                data = self.get_format_dict(r['content']['软件著作权'])
                scrs = SoftCopyRight.create_from_dict(data)
                for scr in scrs:
                    s = scr.pop('softcopyright')
                    s_n = self.get_neo_node(s)
                    if s_n is not None:
                        relationships.append(
                            Have(etp_n, s_n, **scr).get_relationship())
                pass

            if '作品著作权' in r['content'].keys():
                data = self.get_format_dict(r['content']['作品著作权'])
                wcrs = WorkCopyRight.create_from_dict(data)
                for wcr in wcrs:
                    w = wcr.pop('workcopyright')
                    w_n = self.get_neo_node(w)
                    if w_n is not None:
                        relationships.append(
                            Have(etp_n, w_n, **wcr).get_relationship())
                pass

            if '微博' in r['content'].keys():
                data = self.get_format_dict(r['content']['微博'])
                wbs = Weibo.create_from_dict(data)
                for wb in wbs:
                    w = wb.pop('weibo')
                    w_n = self.get_neo_node(w)
                    if w_n is not None:
                        relationships.append(
                            Have(etp_n, w_n, **wb).get_relationship())
                pass

            if '微信公众号' in r['content'].keys():
                data = self.get_format_dict(r['content']['微信公众号'])
                oas = OfficialAccount.create_from_dict(data)
                for oa in oas:
                    woa = oa.pop('WeChat')
                    woa_n = self.get_neo_node(woa)
                    if woa_n is not None:
                        relationships.append(
                            Have(etp_n, woa_n, **oa).get_relationship())
                pass

            if '小程序' in r['content'].keys():
                data = self.get_format_dict(r['content']['小程序'])
                alts = Applets.create_from_dict(data)
                for alt in alts:
                    a = alt.pop('applets')
                    a_n = self.get_neo_node(a)
                    if a_n is not None:
                        relationships.append(
                            Have(etp_n, a_n, **alt).get_relationship())
                pass

            if 'APP' in r['content'].keys():
                data = self.get_format_dict(r['content']['APP'])
                aps = App.create_from_dict(data)
                for ap in aps:
                    a = ap.pop('app')
                    a_n = self.get_neo_node(a)
                    if a_n is not None:
                        relationships.append(
                            Have(etp_n, a_n, **ap).get_relationship())
                pass
            if len(relationships) > 1000:
                i += 1
                sp = int(time.time() - s_t)
                s_t = time.time()
                self.graph_merge_relationships(relationships)
                if not self.index_and_constraint_statue:
                    self.create_index_and_constraint()
                print(
                    SuccessMessage(
                        '{}:success merge relationships to database '
                        'round {} and deal {}/{} enterprise and spend {} '
                        'seconds,and merge {} relationships.'.format(
                            dt.datetime.now(), i, k, etp_count, sp,
                            len(relationships))))
                relationships.clear()
                # return
        if len(relationships):
            i += 1
            self.graph_merge_relationships(relationships)
            if not self.index_and_constraint_statue:
                self.create_index_and_constraint()
            print(
                SuccessMessage('{}:success merge relationships to database '
                               'round {} and deal {}/{} enterprise,and'
                               ' merge {} relationships.'.format(
                                   dt.datetime.now(), i, k, etp_count,
                                   len(relationships))))
            relationships.clear()
            pass
Esempio n. 11
0
    def create_all_relationship(self):
        """
        1.enterprise -[have]->punishment
        :return:
        """
        ors = self.base.query(
            sql={
                'metaModel': '经营风险',
                # 'name': '重庆铭悦机械设备有限公司'
            },
            limit=1000,
            # skip=2000,
            no_cursor_timeout=True)
        i, k = 0, 0
        eg = EtpGraph()
        etp_count = ors.count()
        relationships = []
        # prs = Person()
        etp = Enterprise()
        for j in ors:
            # 每个公司经营风险下列式的东西,肯定就是这家公司的
            k += 1
            # if k < 43500:
            #     continue
            # TODO(leung): 这里要注意,基本信息以外的模块中的url确定不了公司
            etp_n = self.match_node(
                *legal,
                cypher='_.NAME = "{}"'.format(j['name'])
            )
            if etp_n is None:
                # 如果这个公司还没在数据库里面,那么应该创建这个公司
                _ = self.base.query_one(
                    sql={'metaModel': '基本信息', 'name': j['name']}
                )
                if _ is not None:
                    etp = Enterprise(_)
                    etp_n = self.get_neo_node(etp)
                    # 虽然在创建司法关系的时候会创建未在库中的企业,但不会创建
                    # 这个企业的基本关系,因此需要添加其基本关系
                    relationships += eg.create_relationship_from_enterprise_baseinfo(_)
                    pass
                else:
                    # 没有这个公司的信息,那么就简单的把这个公司理解成一个涉案者
                    # 这里就相当于把一个公司当做了一个风险提示的涉及者
                    # etp = Related(**{'名称': j['name'], '链接': j['url']})
                    etp = Related()
                    etp['NAME'] = j['name']
                    etp['URL'] = j['url']
                    etp_n = self.get_neo_node(etp)
                    pass

            if '动产抵押' in j['content'].keys():
                data = self.get_format_dict(j['content']['动产抵押'])
                for d in data:
                    _ = d.pop('被担保主债权数额')
                    debt = Debt(**{'债务(金额)': _['金额'],
                                   '债务(单位)': _['单位'],
                                   '履行期限': d.pop('债务人履行债务的期限')
                                   })
                    debt_n = self.get_neo_node(debt)
                    dy = d.pop('抵押权人')
                    zw = d.pop('债务人')
                    sy = d.pop('所有权或使用权归属')
                    if dy['名称'] == j['name'] or dy['链接'] == j['url']:
                        dy_n = etp_n
                    else:
                        dy_n = self.match_node(
                            *legal,
                            cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                                dy['链接'], dy['名称'])
                        )
                        if dy_n is None and len(dy['名称']) > 1:
                            dy_n = Related(**dy)
                            dy_n = self.get_neo_node(dy_n)
                    if dy_n is not None:
                        relationships.append(Have(
                            dy_n, debt_n, **dict(角色='抵押权人', **d)
                        ).get_relationship())

                    if zw['名称'] == j['name'] or zw['链接'] == j['url']:
                        zw_n = etp_n
                    else:
                        zw_n = self.match_node(
                            *legal,
                            cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                                zw['链接'], zw['名称'])
                        )
                        if zw_n is None and len(zw['名称']) > 1:
                            zw_n = Related(**zw)
                            zw_n = self.get_neo_node(zw_n)
                    if zw_n is not None:
                        relationships.append(Have(
                            zw_n, debt_n, **dict(角色='债务人', **d)
                        ).get_relationship())

                    if sy['名称'] == j['name'] or sy['链接'] == j['url']:
                        sy_n = etp_n
                    else:
                        sy_n = self.match_node(
                            *legal,
                            cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                                sy['链接'], sy['名称'])
                        )
                        if sy_n is None and len(sy['名称']) > 1:
                            sy_n = Related(**sy)
                            sy_n = self.get_neo_node(sy_n)
                    if sy_n is not None:
                        relationships.append(Have(
                            sy_n, debt_n, **dict(角色='所有权或使用权人', **d)
                        ).get_relationship())
                    pass

            if '公示催告' in j['content'].keys():
                data = self.get_format_dict(j['content']['公示催告'])
                for d in data:
                    _ = d.pop('票面金额')
                    bn = Banknote(**{'票据号': d.pop('票据号'),
                                     '票据类型': d.pop('票据类型'),
                                     '票面金额(金额)': _['金额'],
                                     '票面金额(单位)': _['单位']
                                     })
                    bn_n = self.get_neo_node(bn)
                    sq = d.pop('申请人')
                    cp = d.pop('持票人')
                    if sq['名称'] == j['name'] or sq['链接'] == j['url']:
                        sq_n = etp_n
                    else:
                        sq_n = self.match_node(
                            *legal,
                            cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                                sq['链接'], sq['名称'])
                        )
                        if sq_n is None:
                            sq_n = Related(**sq)
                            sq_n = self.get_neo_node(sq_n)
                    if sq_n is not None:
                        relationships.append(Have(
                            sq_n, bn_n, **dict(角色='申请人', **d)
                        ).get_relationship())

                    if cp['名称'] == j['name'] or cp['链接'] == j['url']:
                        cp_n = etp_n
                    else:
                        cp_n = self.match_node(
                            *legal,
                            cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                                cp['链接'], cp['名称'])
                        )
                        if cp_n is None:
                            cp_n = Related(**cp)
                            cp_n = self.get_neo_node(cp_n)
                    if cp_n is not None:
                        relationships.append(Have(
                            cp_n, bn_n, **dict(角色='持票人', **d)
                        ).get_relationship())
                    relationships.append(Have(
                        etp_n, bn_n, **dict(角色='出票人', **d)
                    ).get_relationship())
                    pass

            if '行政处罚' in j['content'].keys():
                data = j['content']['行政处罚']
                d1 = self.get_format_dict(data['工商局'])
                ps = Punishment.create_from_dict(d1, '工商局')
                for p in ps:
                    _ = p.pop('punishment')
                    n = self.get_neo_node(_)
                    if n is not None:
                        relationships.append(
                            Have(
                                etp_n, n, **p
                            ).get_relationship()
                        )

                d2 = self.get_format_dict(data['税务局'])
                ps = Punishment.create_from_dict(d2, '税务局')
                for p in ps:
                    _ = p.pop('punishment')
                    n = self.get_neo_node(_)
                    if n is not None:
                        relationships.append(
                            Have(
                                etp_n, n, **p
                            ).get_relationship()
                        )

                d3 = self.get_format_dict(data['信用中国'])
                ps = Punishment.create_from_dict(d3, '信用中国')
                for p in ps:
                    _ = p.pop('punishment')
                    n = self.get_neo_node(_)
                    if n is not None:
                        relationships.append(
                            Have(
                                etp_n, n, **p
                            ).get_relationship()
                        )

                d4 = self.get_format_dict(data['其他'])
                ps = Punishment.create_from_dict(d4, '其他')
                for p in ps:
                    _ = p.pop('punishment')
                    n = self.get_neo_node(_)
                    if n is not None:
                        relationships.append(
                            Have(
                                etp_n, n, **p
                            ).get_relationship()
                        )
                pass

            if '环保处罚' in j['content'].keys():
                data = self.get_format_dict(j['content']['环保处罚'])
                ps = Punishment.create_from_dict(data, '环保局')
                for p in ps:
                    _ = p.pop('punishment')
                    n = self.get_neo_node(_)
                    if n is not None:
                        relationships.append(
                            Have(
                                etp_n, n, **p
                            ).get_relationship()
                        )

            if '股权出质' in j['content'].keys():
                sh_info = j['content']['股权出质']
                sh_info = self.get_format_dict(sh_info)
                for sh in sh_info:
                    sh = dict(sh, **self.get_format_amount(
                        '出质数额', sh.pop('出质数额')
                    ))
                    # 确定出质人
                    cz = sh.pop('出质人')
                    cz['链接'] = etp.parser_url(cz['链接'])
                    # 判断出质人是不是当前公司
                    if j['name'] == cz['名称'] or cz['链接'] == etp_n['URL']:
                        cz_n = etp_n
                    else:
                        # 确定出质人,先在法人主体中找
                        cz_n = self.match_node(
                            *legal,
                            cypher='_.NAME = "{}" OR _.URL = "{}"'.format(
                                cz['名称'], cz['链接']
                            )
                        )
                        if cz_n is None:
                            # 在法人中没找到,就通过url在自然人中找
                            # 这里最好不要通过名称找了,除公司以外出现
                            # 同名的几率很大
                            # TODO(leung):在所有实体中去找开销很大,需要注意
                            cz_n = self.match_node(
                                'Person',
                                cypher='_.URL = "{}"'.format(cz['链接'])
                            )
                            if cz_n is None:
                                # 创建这个股权出质人
                                if len(cz['名称']) > 1:
                                    cz_n = Involveder(**cz)
                                    cz_n = self.get_neo_node(cz_n)
                        pass
                    # 确定质权人
                    zq = sh.pop('质权人')
                    zq['链接'] = etp.parser_url(zq['链接'])
                    # 判断质权人是不是当前公司
                    if j['name'] == zq['名称'] or zq['链接'] == etp_n['URL']:
                        zq_n = etp_n
                    else:
                        # 确定质权人,先在企业中找
                        zq_n = self.match_node(
                            *legal,
                            cypher='_.NAME = "{}" OR _.URL = "{}"'.format(
                                zq['名称'], zq['链接']
                            )
                        )
                        if zq_n is None:
                            # 在企业中没找到,就通过url在所有对象中找
                            # 这里最好不要通过名称找了,除公司以外出现
                            # 同名的几率很大
                            # TODO(leung):在所有实体中去找开销很大,需要注意
                            zq_n = self.match_node(
                                'Person',
                                cypher='_.URL = "{}"'.format(zq['链接'])
                            )
                            if zq_n is None:
                                # 创建这个股权出质人
                                if len(zq['名称']) > 1:
                                    zq_n = Involveder(**zq)
                                    zq_n = self.get_neo_node(zq_n)
                        pass
                    # 确定出质标的企业
                    bd = sh.pop('标的企业')
                    bd['链接'] = etp.parser_url(bd['链接'])
                    # 判断出质标的是不是当前公司
                    if j['name'] == bd['名称'] or bd['链接'] == etp_n['URL']:
                        bd_n = etp_n
                    else:
                        # 确定出质标的,先在企业中找
                        bd_n = self.match_node(
                            *legal,
                            cypher='_.NAME = "{}" OR _.URL = "{}"'.format(
                                bd['名称'], bd['链接']
                            )
                        )
                        if bd_n is None:
                            # 在企业中没找到,就通过url在所有对象中找
                            # 这里最好不要通过名称找了,除公司以外出现
                            # 同名的几率很大
                            # TODO(leung):在所有实体中去找开销很大,需要注意
                            bd_n = self.match_node(
                                'Person',
                                cypher='_.URL = "{}"'.format(bd['链接'])
                            )
                            if bd_n is None:
                                # 创建这个出质标的
                                if len(bd['名称']) > 1:
                                    bd_n = Possession(**bd)
                                    bd_n = self.get_neo_node(bd_n)
                        pass
                    # 创建关系
                    # 1. 抵押
                    if cz_n is not None and bd_n is not None:
                        relationships.append(
                            Guaranty(cz_n, bd_n, **sh).get_relationship()
                        )
                    # 2. 质权
                    if zq_n is not None and bd_n is not None:
                        relationships.append(
                            Have(zq_n, bd_n, **sh).get_relationship()
                        )

            if '破产重组' in j['content'].keys():
                data = self.get_format_dict(j['content']['破产重组'])
                for d in data:
                    sq = d.pop('申请人')
                    if sq['名称'] == j['name'] or sq['链接'] == etp_n['URL']:
                        sq_n = etp_n
                    else:
                        sq_n = self.match_node(
                            *['person'] + legal,
                            cypher='_.URL = "{}"'.format(sq['链接'])
                        )
                        if sq_n is None:
                            sq_n = Involveder(**sq)
                            sq_n = self.get_neo_node(sq_n)
                    bsq = d.pop('被申请人')
                    if bsq['名称'] == j['name'] or bsq['链接'] == etp_n['URL']:
                        bsq_n = etp_n
                    else:
                        # 被申请破产的一般是法人
                        bsq_n = self.match_node(
                            *['person'] + legal,
                            cypher='_.URL = "{}"'.format(bsq['链接'])
                        )
                        if bsq_n is None:
                            bsq_n = Involveder(**bsq)
                            bsq_n = self.get_neo_node(bsq_n)
                    if sq_n is not None and bsq_n is not None:
                        relationships.append(
                            Relationship(sq_n, '申请破产', bsq_n, **d)
                        )
                pass

            if '土地抵押' in j['content'].keys():
                data = self.get_format_dict(j['content']['土地抵押'])
                for d in data:
                    _ = d.pop('抵押面积')
                    p = Plot(**{'位置': d.pop('位置'),
                                '面积(数量)': _['数额'],
                                '面积(单位)': _['单位'],
                                })
                    p_n = self.get_neo_node(p)
                    d = dict(d, **self.get_format_amount(
                        '抵押金额', d.pop('抵押金额')
                    ))
                    dy = d.pop('抵押人')
                    dyq = d.pop('抵押权人')

                    if dy['名称'] == j['name'] or dy['链接'] == etp_n['URL']:
                        dy_n = etp_n
                    else:
                        dy_n = self.match_node(
                            *legal,
                            cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                                dy['链接'], dy['名称'])
                        )
                        if dy_n is None:
                            dy_n = Related(**dy)
                            dy_n = self.get_neo_node(dy_n)
                    if dy_n is not None:
                        relationships.append(
                            Guaranty(dy_n, p_n, **d).get_relationship()
                        )
                    if dyq['名称'] == j['name'] or dyq['链接'] == etp_n['URL']:
                        dyq_n = etp_n
                    else:
                        dyq_n = self.match_node(
                            *legal,
                            cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                                dyq['链接'], dyq['名称'])
                        )
                        if dyq_n is None:
                            dyq_n = Related(**dyq)
                            dyq_n = self.get_neo_node(dyq_n)
                    if dyq_n is not None:
                        relationships.append(
                            Have(dyq_n, p_n, **d).get_relationship()
                        )
                pass

            if len(relationships) > 1000:
                i += 1
                self.graph_merge_relationships(relationships)
                if not self.index_and_constraint_statue:
                    self.create_index_and_constraint()
                print(SuccessMessage('{}:success merge relationships to database '
                                     'round {} and deal {}/{} enterprise,and'
                                     ' merge {} relationships.'.format(
                    dt.datetime.now(), i, k, etp_count, len(relationships)
                )))
                relationships.clear()
                # return
                pass
        if len(relationships):
            i += 1
            self.graph_merge_relationships(relationships)
            if not self.index_and_constraint_statue:
                self.create_index_and_constraint()
            print(SuccessMessage('{}:success merge relationships to database '
                                 'round {} and deal {}/{} enterprise,and'
                                 ' merge {} relationships.'.format(
                dt.datetime.now(), i, k, etp_count, len(relationships)
            )))
            relationships.clear()
            pass
Esempio n. 12
0
    def get_all_nodes_and_relationships_from_enterprise(self, etp):
        etp_n = Enterprise(URL=etp['url'], NAME=etp['name'])
        etp_n = self.get_neo_node(etp_n)
        if etp_n is None:
            return [], []
        nodes, relationships = [], []
        nodes.append(etp_n)
        if '动产抵押' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['动产抵押'])
            for d in data:
                _ = d.pop('被担保主债权数额')
                debt = Debt(**{'债务(金额)': _['金额'],
                               '债务(单位)': _['单位'],
                               '履行期限': d.pop('债务人履行债务的期限')
                               })
                debt_n = self.get_neo_node(debt)
                nodes.append(debt_n)
                dy = d.pop('抵押权人')
                zw = d.pop('债务人')
                sy = d.pop('所有权或使用权归属')
                dy['链接'] = Enterprise.parser_url(dy['链接'])
                zw['链接'] = Enterprise.parser_url(zw['链接'])
                sy['链接'] = Enterprise.parser_url(sy['链接'])
                if dy['名称'] == etp['name'] or dy['链接'] == etp['url']:
                    dy_n = etp_n
                else:
                    dy_n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            dy['链接'], dy['名称'])
                    )
                    if dy_n is None:
                        # dy_n = Related(**dy)
                        dy_n = Enterprise(**dy)
                        if not dy_n.isEnterprise():
                            dy_n = Person(**dy)
                            if not dy_n.isPerson():
                                dy_n = Related(**dy)
                        dy_n = self.get_neo_node(dy_n)
                if dy_n is not None:
                    nodes.append(dy_n)
                    relationships.append(Have(
                        dy_n, debt_n, **dict(角色='抵押权人', **d)
                    ))

                if zw['名称'] == etp['name'] or zw['链接'] == etp['url']:
                    zw_n = etp_n
                else:
                    zw_n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            zw['链接'], zw['名称'])
                    )
                    if zw_n is None and len(zw['名称']) > 1:
                        # zw_n = Related(**zw)
                        zw_n = Enterprise(**zw)
                        if not zw_n.isEnterprise():
                            zw_n = Person(**zw)
                            if not zw_n.isPerson():
                                zw_n = Related(**zw)
                        zw_n = self.get_neo_node(zw_n)
                if zw_n is not None:
                    nodes.append(zw_n)
                    relationships.append(Have(
                        zw_n, debt_n, **dict(角色='债务人', **d)
                    ))

                if sy['名称'] == etp['name'] or sy['链接'] == etp['url']:
                    sy_n = etp_n
                else:
                    sy_n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            sy['链接'], sy['名称'])
                    )
                    if sy_n is None and len(sy['名称']) > 1:
                        # sy_n = Related(**sy)
                        sy_n = Enterprise(**sy)
                        if not sy_n.isEnterprise():
                            sy_n = Person(**sy)
                            if not sy_n.isPerson():
                                sy_n = Related(**sy)
                        sy_n = self.get_neo_node(sy_n)
                if sy_n is not None:
                    nodes.append(sy_n)
                    relationships.append(Have(
                        sy_n, debt_n, **dict(角色='所有权或使用权人', **d)
                    ))
                pass

        if '公示催告' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['公示催告'])
            for d in data:
                _ = d.pop('票面金额')
                bn = Banknote(**{'票据号': d.pop('票据号'),
                                 '票据类型': d.pop('票据类型'),
                                 '票面金额(金额)': _['金额'],
                                 '票面金额(单位)': _['单位']
                                 })
                bn_n = self.get_neo_node(bn)
                nodes.append(bn_n)
                sq = d.pop('申请人')
                cp = d.pop('持票人')
                sq['链接'] = Enterprise.parser_url(sq['链接'])
                cp['链接'] = Enterprise.parser_url(cp['链接'])
                if sq['名称'] == etp['name'] or sq['链接'] == etp['url']:
                    sq_n = etp_n
                else:
                    sq_n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            sq['链接'], sq['名称'])
                    )
                    if sq_n is None:
                        # sq_n = Related(**sq)
                        sq_n = Enterprise(**sq)
                        if not sq_n.isEnterprise():
                            sq_n = Person(**sq)
                            if not sq_n.isPerson():
                                sq_n = Related(**sq)
                        sq_n = self.get_neo_node(sq_n)
                if sq_n is not None:
                    nodes.append(sq_n)
                    relationships.append(Have(
                        sq_n, bn_n, **dict(角色='申请人', **d)
                    ))

                if cp['名称'] == etp['name'] or cp['链接'] == etp['url']:
                    cp_n = etp_n
                else:
                    cp_n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            cp['链接'], cp['名称'])
                    )
                    if cp_n is None:
                        # cp_n = Related(**cp)
                        cp_n = Enterprise(**cp)
                        if not cp_n.isEnterprise():
                            cp_n = Person(**cp)
                            if not cp_n.isPerson():
                                cp_n = Related(**cp)
                        cp_n = self.get_neo_node(cp_n)
                if cp_n is not None:
                    nodes.append(cp_n)
                    relationships.append(Have(
                        cp_n, bn_n, **dict(角色='持票人', **d)
                    ))
                relationships.append(Have(
                    etp_n, bn_n, **dict(角色='出票人', **d)
                ))
                pass

        if '行政处罚' in etp['content'].keys():
            data = etp['content']['行政处罚']
            d1 = self.get_format_dict(data['工商局'])
            ps = Punishment.create_from_dict(d1, '工商局')
            for p in ps:
                _ = p.pop('punishment')
                n = self.get_neo_node(_)
                if n is not None:
                    nodes.append(n)
                    relationships.append(
                        Have(etp_n, n, **p)
                    )

            d2 = self.get_format_dict(data['税务局'])
            ps = Punishment.create_from_dict(d2, '税务局')
            for p in ps:
                _ = p.pop('punishment')
                n = self.get_neo_node(_)
                if n is not None:
                    nodes.append(n)
                    relationships.append(
                        Have(etp_n, n, **p)
                    )

            d3 = self.get_format_dict(data['信用中国'])
            ps = Punishment.create_from_dict(d3, '信用中国')
            for p in ps:
                _ = p.pop('punishment')
                n = self.get_neo_node(_)
                if n is not None:
                    nodes.append(n)
                    relationships.append(
                        Have(etp_n, n, **p)
                    )

            d4 = self.get_format_dict(data['其他'])
            ps = Punishment.create_from_dict(d4, '其他')
            for p in ps:
                _ = p.pop('punishment')
                n = self.get_neo_node(_)
                if n is not None:
                    nodes.append(n)
                    relationships.append(
                        Have(etp_n, n, **p)
                    )
            pass

        if '环保处罚' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['环保处罚'])
            ps = Punishment.create_from_dict(data, '环保局')
            for p in ps:
                _ = p.pop('punishment')
                n = self.get_neo_node(_)
                if n is not None:
                    nodes.append(n)
                    relationships.append(
                        Have(etp_n, n, **p)
                    )

        if '股权出质' in etp['content'].keys():
            sh_info = etp['content']['股权出质']
            sh_info = self.get_format_dict(sh_info)
            for sh in sh_info:
                sh = dict(sh, **self.get_format_amount(
                    '出质数额', sh.pop('出质数额')
                ))
                # 确定出质人
                cz = sh.pop('出质人')
                cz['链接'] = Enterprise.parser_url(cz['链接'])
                # 判断出质人是不是当前公司
                if etp['name'] == cz['名称'] or cz['链接'] == etp_n['URL']:
                    cz_n = etp_n
                else:
                    # 确定出质人,先在法人主体中找
                    cz_n = self.match_node(
                        *legal,
                        cypher='_.NAME = "{}" OR _.URL = "{}"'.format(
                            cz['名称'], cz['链接']
                        )
                    )
                    if cz_n is None:
                        # 在法人中没找到,就通过url在自然人中找
                        # 这里最好不要通过名称找了,除公司以外出现
                        # 同名的几率很大
                        # TODO(leung):在所有实体中去找开销很大,需要注意
                        cz_n = self.match_node(
                            'Person',
                            cypher='_.URL = "{}"'.format(cz['链接'])
                        )
                        if cz_n is None:
                            # 创建这个股权出质人
                            if len(cz['名称']) > 1:
                                # cz_n = Involveder(**cz)
                                cz_n = Enterprise(**cz)
                                if not cz_n.isEnterprise():
                                    cz_n = Person(**cz)
                                    if not cz_n.isPerson():
                                        cz_n = Related(**cz)
                                cz_n = self.get_neo_node(cz_n)
                    pass
                # 确定质权人
                zq = sh.pop('质权人')
                zq['链接'] = Enterprise.parser_url(zq['链接'])
                # 判断质权人是不是当前公司
                if etp['name'] == zq['名称'] or zq['链接'] == etp_n['URL']:
                    zq_n = etp_n
                else:
                    # 确定质权人,先在企业中找
                    zq_n = self.match_node(
                        *legal,
                        cypher='_.NAME = "{}" OR _.URL = "{}"'.format(
                            zq['名称'], zq['链接']
                        )
                    )
                    if zq_n is None:
                        # 在企业中没找到,就通过url在所有对象中找
                        # 这里最好不要通过名称找了,除公司以外出现
                        # 同名的几率很大
                        # TODO(leung):在所有实体中去找开销很大,需要注意
                        zq_n = self.match_node(
                            'Person',
                            cypher='_.URL = "{}"'.format(zq['链接'])
                        )
                        if zq_n is None:
                            # 创建这个股权出质人
                            if len(zq['名称']) > 1:
                                # zq_n = Involveder(**zq)
                                zq_n = Enterprise(**zq)
                                if not zq_n.isEnterprise():
                                    zq_n = Person(**zq)
                                    if not zq_n.isPerson():
                                        zq_n = Related(**zq)
                                zq_n = self.get_neo_node(zq_n)
                    pass
                # 确定出质标的企业
                bd = sh.pop('标的企业')
                bd['链接'] = Enterprise.parser_url(bd['链接'])
                # 判断出质标的是不是当前公司
                if etp['name'] == bd['名称'] or bd['链接'] == etp_n['URL']:
                    bd_n = etp_n
                else:
                    # 确定出质标的,先在企业中找,不会是人
                    bd_n = self.match_node(
                        *legal,
                        cypher='_.NAME = "{}" OR _.URL = "{}"'.format(
                            bd['名称'], bd['链接']
                        )
                    )
                    if bd_n is None:
                        # 创建这个出质标的
                        if len(bd['名称']) > 1:
                            bd_n = Enterprise(**bd)
                            if not bd_n.isEnterprise():
                                bd_n = Possession(**bd)
                            bd_n = self.get_neo_node(bd_n)
                    pass
                # 创建关系
                if bd_n is None:
                    continue
                nodes.append(bd_n)
                # 1. 抵押
                if cz_n is not None:
                    nodes.append(cz_n)
                    relationships.append(
                        Guaranty(cz_n, bd_n, **sh)
                    )
                # 2. 质权
                if zq_n is not None:
                    nodes.append(zq_n)
                    relationships.append(
                        Have(zq_n, bd_n, **sh)
                    )

        if '破产重组' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['破产重组'])
            for d in data:
                sq = d.pop('申请人')
                sq['链接'] = Enterprise.parser_url(sq['链接'])
                if sq['名称'] == etp['name'] or sq['链接'] == etp_n['URL']:
                    sq_n = etp_n
                else:
                    sq_n = self.match_node(
                        *['person'] + legal,
                        cypher='_.URL = "{}"'.format(sq['链接'])
                    )
                    if sq_n is None:
                        # sq_n = Involveder(**sq)
                        sq_n = Enterprise(**sq)
                        if not sq_n.isEnterprise():
                            sq_n = Person(**sq)
                            if not sq_n.isPerson():
                                sq_n = Related(**sq)
                        sq_n = self.get_neo_node(sq_n)
                bsq = d.pop('被申请人')
                bsq['链接'] = Enterprise.parser_url(bsq['链接'])
                if bsq['名称'] == etp['name'] or bsq['链接'] == etp_n['URL']:
                    bsq_n = etp_n
                else:
                    # 被申请破产的一般是法人
                    bsq_n = self.match_node(
                        *['person'] + legal,
                        cypher='_.URL = "{}"'.format(bsq['链接'])
                    )
                    if bsq_n is None:
                        # bsq_n = Involveder(**bsq)
                        bsq_n = Enterprise(**bsq)
                        if not bsq_n.isEnterprise():
                            bsq_n = Person(**bsq)
                            if not bsq_n.isPerson():
                                bsq_n = Related(**bsq)
                        bsq_n = self.get_neo_node(bsq_n)
                if sq_n is not None and bsq_n is not None:
                    nodes += [sq_n, bsq_n]
                    relationships.append(
                        ApplyBankrupt(sq_n, bsq_n, **d)
                    )
            pass

        if '土地抵押' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['土地抵押'])
            for d in data:
                _ = d.pop('抵押面积')
                p = Plot(**{'位置': d.pop('位置'),
                            '面积(数量)': _['数额'],
                            '面积(单位)': _['单位'],
                            })
                p_n = self.get_neo_node(p)
                nodes.append(p_n)
                d = dict(d, **self.get_format_amount(
                    '抵押金额', d.pop('抵押金额')
                ))
                dy = d.pop('抵押人')
                dyq = d.pop('抵押权人')
                dy['链接'] = Enterprise.parser_url(dy['链接'])
                dyq['链接'] = Enterprise.parser_url(dyq['链接'])
                if dy['名称'] == etp['name'] or dy['链接'] == etp_n['URL']:
                    dy_n = etp_n
                else:
                    dy_n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            dy['链接'], dy['名称'])
                    )
                    if dy_n is None:
                        # dy_n = Related(**dy)
                        dy_n = Enterprise(**dy)
                        if not dy_n.isEnterprise():
                            dy_n = Person(**dy)
                            if not dy_n.isPerson():
                                dy_n = Related(**dy)
                        dy_n = self.get_neo_node(dy_n)
                if dy_n is not None:
                    nodes.append(dy_n)
                    relationships.append(
                        Guaranty(dy_n, p_n, **d)
                    )
                if dyq['名称'] == etp['name'] or dyq['链接'] == etp_n['URL']:
                    dyq_n = etp_n
                else:
                    dyq_n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                            dyq['链接'], dyq['名称'])
                    )
                    if dyq_n is None:
                        # dyq_n = Related(**dyq)
                        dyq_n = Enterprise(**dyq)
                        if not dyq_n.isEnterprise():
                            dyq_n = Person(**dyq)
                            if not dyq_n.isPerson():
                                dyq_n = Related(**dyq)
                        dyq_n = self.get_neo_node(dyq_n)
                if dyq_n is not None:
                    nodes.append(dyq_n)
                    relationships.append(
                        Have(dyq_n, p_n, **d)
                    )
            pass

        return nodes, relationships
Esempio n. 13
0
    def create_all_relationship(self):
        """
        1.enterprise or person -[involve_case]->case
        :return:
        """
        justices = self.base.query(
            sql={
                'metaModel': '法律诉讼',
                # 'name': '重庆思途科技有限公司'
            },
            limit=100,
            no_cursor_timeout=True)
        i, k = 0, 0
        eg = EtpGraph()
        etp_count = justices.count()
        relationships = []
        # prs = Person()
        # etp = Enterprise()
        for j in justices:
            # 每个公司的法律诉讼下的司法案件肯定跟这个案件有联系
            k += 1
            # if k < 4910:
            #     continue
            # TODO(leung): 这里要注意,法律诉讼模块中的url确定不了公司
            etp_n = self.match_node(
                *legal,
                cypher='_.NAME = "{}"'.format(j['name'])
            )
            if etp_n is None:
                # 如果这个公司还没在数据库里面,那么应该创建这个公司
                _ = self.base.query_one(
                    sql={'metaModel': '基本信息', 'name': j['name']}
                )
                if _ is not None:
                    etp = Enterprise(_)
                    etp_n = self.get_neo_node(etp)
                    # 虽然在创建司法关系的时候会创建未在库中的企业,但不会创建
                    # 这个企业的基本关系,因此需要添加其基本关系
                    relationships += eg.create_relationship_from_enterprise_baseinfo(_)
                    pass
                else:
                    # 没有这个公司的信息,那么就简单的把这个公司理解成一个涉案者
                    etp = Involveder(**{'名称': j['name'], '链接': j['url']})
                    etp_n = self.get_neo_node(etp)
                    if etp_n is None:
                        continue
                    pass

            if '被执行人' in j['content'].keys():
                data = self.get_format_dict(j['content']['被执行人'])
                eps = Enforcement.create_from_dict(data)
                for ep in eps:
                    e = ep.pop('executed')
                    e_n = self.get_neo_node(e)
                    if e_n is not None:
                        relationships.append(
                            InvolveCase(etp_n, e_n, **ep).get_relationship()
                        )
                pass

            # if '司法案件' in j['content'].keys():
            #     justice_case_info = j['content']['司法案件']
            #     jcs = JusticeCase.create_from_dict(justice_case_info)
            #     rps = self.create_relationship_from_justice_case(
            #         etp_n, jcs)
            #     relationships += rps
            #     pass

            if '裁判文书' in j['content'].keys():
                data = self.get_format_dict(j['content']['裁判文书'])
                # 返回的是[[Ruling, 相关对象],[]...]
                rls = Judgment.create_from_dict(data)
                for ruling, involve in rls:
                    rul_n = self.get_neo_node(ruling)
                    if rul_n is None:
                        continue
                    for inv in involve:
                        # 案件相关主体
                        # 先判断是不是当前的企业
                        if j['name'] == inv[1] or j['url'] == inv[2]:
                            # 如果是,直接关联起来
                            inv_n = etp_n
                        else:
                            # 1.先在企业中匹配
                            # 2.匹配自然人
                            inv_n = self.match_node(
                                *['Person'] + legal,
                                cypher='_.URL = "{}"'.format(
                                    inv[2])
                            )
                            if inv_n is None:
                                ivl = Involveder()
                                ivl['NAME'] = inv[1]
                                ivl['URL'] = inv[2]
                                # if inv[2] is not None:
                                #     ivl['URL'] = inv[2]
                                # else:
                                #     ivl['URL'] = ivl.get_entity_unique_code(
                                #         j['name']+inv[1]
                                #     )
                                inv_n = self.get_neo_node(ivl)
                        # 3.以上两者都没匹配到的时候,创建这个案件参与者
                        # 实际上还可以到其他实体中去匹配,但那些可能是数据
                        # 集之外的对象了,可以先不去管他们

                        if inv_n is not None:
                            relationships.append(
                                InvolveCase(
                                    inv_n, rul_n, **{'案件身份': inv[0]}
                                ).get_relationship()
                            )
                pass

            if '失信被执行人' in j['content'].keys():
                data = self.get_format_dict(
                    j['content']['失信被执行人']
                )
                eps = SXEnforcement.create_from_dict(data)
                for ep in eps:
                    e = ep.pop('sxexecuted')
                    e_n = self.get_neo_node(e)
                    if e_n is not None:
                        relationships.append(
                            InvolveCase(etp_n, e_n, **ep).get_relationship()
                        )
                pass

            if '限制高消费' in j['content'].keys():
                data = self.get_format_dict(
                    j['content']['限制高消费']
                )
                for d in data:
                    sq = d.pop('申请人')
                    lh = d.pop('限消令对象')
                    xg = d.pop('关联对象')
                    _ = d.pop('案号')
                    lo = dict(案号=_['名称'], 案号链接=_['链接'], **d)
                    lo = LimitOrder(**lo)
                    lo_n = self.get_neo_node(lo)
                    if lo_n is None:
                        continue
                    if sq['名称'] == j['name'] or sq['链接'] == etp_n['URL']:
                        sq_n = etp_n
                    else:
                        sq_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                sq['链接'])
                        )
                        if sq_n is None:
                            # 创建这个对象
                            sq_n = Involveder(**sq)
                            sq_n = self.get_neo_node(sq_n)
                    if sq_n is not None:
                        relationships.append(
                            InvolveCase(sq_n, lo_n, **{'案件身份': '申请人'}
                                        ).get_relationship()
                        )
                    if lh['名称'] == j['name'] or lh['链接'] == etp_n['URL']:
                        lh_n = etp_n
                    else:
                        lh_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                lh['链接'])
                        )
                        if lh_n is None:
                            # 创建这个对象
                            lh_n = Involveder(**lh)
                            lh_n = self.get_neo_node(lh_n)
                    if lh_n is not None:
                        relationships.append(
                            InvolveCase(lo_n, lh_n, **{'案件身份': '限制对象'}
                                        ).get_relationship()
                        )
                    if xg['名称'] == j['name'] or xg['链接'] == etp_n['URL']:
                        xg_n = etp_n
                    else:
                        xg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                xg['链接'])
                        )
                        if xg_n is None:
                            # 创建这个对象
                            xg_n = Involveder(**xg)
                            xg_n = self.get_neo_node(xg_n)
                    if xg_n is not None:
                        relationships.append(
                            InvolveCase(lo_n, xg_n, **{'案件身份': '关联对象'}
                                        ).get_relationship()
                        )
                pass

            if '股权冻结' in j['content'].keys():
                data = self.get_format_dict(
                    j['content']['股权冻结']
                )
                for d in data:
                    bd = d.pop('标的企业')
                    zx = d.pop('被执行人')
                    _1 = d.pop('股权数额')
                    _2 = d.pop('类型|状态').split('|')
                    sf = dict(冻结数额=_1['金额'], 金额单位=_1['单位'],
                              类型=_2[0], 状态=_2[1] if len(_2) > 1 else None, **d
                              )
                    sf = StockFreeze(**sf)
                    sf_n = self.get_neo_node(sf)
                    if sf_n is None:
                        continue
                    if bd['名称'] == j['name'] or bd['链接'] == etp_n['URL']:
                        bd_n = etp_n
                    else:
                        bd_n = self.match_node(
                            *legal,
                            cypher='_.URL = "{}"'.format(
                                bd['链接'])
                        )
                        if bd_n is None:
                            bd_n = Involveder(**bd)
                            bd_n = self.get_neo_node(bd_n)
                    if bd_n is not None:
                        relationships.append(
                            InvolveCase(sf_n, bd_n, **{'案件身份': '标的企业'}
                                        ).get_relationship()
                        )
                    if zx['名称'] == j['name'] or zx['链接'] == etp_n['URL']:
                        zx_n = etp_n
                    else:
                        zx_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                zx['链接'])
                        )
                        if zx_n is None:
                            zx_n = Involveder(**zx)
                            zx_n = self.get_neo_node(zx_n)
                    if zx_n is not None:
                        relationships.append(
                            InvolveCase(sf_n, zx_n, **{'案件身份': '被执行人'}
                                        ).get_relationship()
                        )

            if len(relationships) > 1000:
                i += 1
                self.graph_merge_relationships(relationships)
                if not self.index_and_constraint_statue:
                    self.create_index_and_constraint()
                print(SuccessMessage('{}:success merge relationships to database '
                                     'round {} and deal {}/{} enterprise,and'
                                     ' merge {} relationships.'.format(
                    dt.datetime.now(), i, k, etp_count, len(relationships)
                )))
                relationships.clear()
        if len(relationships):
            i += 1
            self.graph_merge_relationships(relationships)
            if not self.index_and_constraint_statue:
                self.create_index_and_constraint()
            print(SuccessMessage('{}:success merge relationships to database '
                                 'round {} and deal {}/{} enterprise,and'
                                 ' merge {} relationships.'.format(
                dt.datetime.now(), i, k, etp_count, len(relationships)
            )))
            relationships.clear()
        pass
Esempio n. 14
0
    def get_all_nodes_and_relationships_from_enterprise(self, etp):
        etp_n = Enterprise(URL=etp['url'], NAME=etp['name'])
        etp_n = self.get_neo_node(etp_n)
        if etp_n is None:
            return [], []
        nodes, relationships = [], []
        nodes.append(etp_n)

        if '法院公告' in etp['content'].keys():
            data = self.get_format_dict(
                etp['content']['法院公告']
            )
            cas = CourtAnnounce.create_from_dict(data)
            for ca in cas:
                a = ca.pop('announce')
                a_n = self.get_neo_node(a)
                if a_n is None:
                    continue
                nodes.append(a_n)
                bgs = ca.pop('defendant')
                for bg in bgs:
                    bg['链接'] = Enterprise.parser_url(bg['链接'])
                    if bg['名称'] == etp['name'] or bg['链接'] == etp_n['URL']:
                        bg_n = etp_n
                    else:
                        bg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                bg['链接'])
                        )
                        if bg_n is None:
                            # 创建这个对象
                            # sq_n = Involveder(**sq)
                            bg_n = Enterprise(**bg)
                            if not bg_n.isEnterprise():
                                bg_n = Person(**bg)
                                if not bg_n.isPerson():
                                    bg_n = Related(**bg)
                            bg_n = self.get_neo_node(bg_n)
                    if bg_n is not None:
                        nodes.append(bg_n)
                        relationships.append(
                            InvolveCase(bg_n, a_n, **{'案件身份': '被告'})
                        )
                ygs = ca.pop('plaintiff')
                for yg in ygs:
                    yg['链接'] = Enterprise.parser_url(yg['链接'])
                    if yg['名称'] == etp['name'] or yg['链接'] == etp_n['URL']:
                        yg_n = etp_n
                    else:
                        yg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                yg['链接'])
                        )
                        if yg_n is None:
                            # 创建这个对象
                            # lh_n = Involveder(**lh)
                            yg_n = Enterprise(**yg)
                            if not yg_n.isEnterprise():
                                yg_n = Person(**yg)
                                if not yg_n.isPerson():
                                    yg_n = Related(**yg)
                            yg_n = self.get_neo_node(yg_n)
                    if yg_n is not None:
                        nodes.append(yg_n)
                        relationships.append(
                            InvolveCase(yg_n, a_n, **{'案件身份': '原告'})
                        )
            pass

        if '开庭公告' in etp['content'].keys():
            data = self.get_format_dict(
                etp['content']['开庭公告']
            )
            cas = OpenAnnounce.create_from_dict(data)
            for ca in cas:
                a = ca.pop('announce')
                a_n = self.get_neo_node(a)
                if a_n is None:
                    continue
                nodes.append(a_n)
                bgs = ca.pop('defendant')
                for bg in bgs:
                    bg['链接'] = Enterprise.parser_url(bg['链接'])
                    if bg['名称'] == etp['name'] or bg['链接'] == etp_n['URL']:
                        bg_n = etp_n
                    else:
                        bg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                bg['链接'])
                        )
                        if bg_n is None:
                            # 创建这个对象
                            # sq_n = Involveder(**sq)
                            bg_n = Enterprise(**bg)
                            if not bg_n.isEnterprise():
                                bg_n = Person(**bg)
                                if not bg_n.isPerson():
                                    bg_n = Related(**bg)
                            bg_n = self.get_neo_node(bg_n)
                    if bg_n is not None:
                        nodes.append(bg_n)
                        relationships.append(
                            InvolveCase(bg_n, a_n, **{'案件身份': '被告'})
                        )
                ygs = ca.pop('plaintiff')
                for yg in ygs:
                    yg['链接'] = Enterprise.parser_url(yg['链接'])
                    if yg['名称'] == etp['name'] or yg['链接'] == etp_n['URL']:
                        yg_n = etp_n
                    else:
                        yg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                yg['链接'])
                        )
                        if yg_n is None:
                            # 创建这个对象
                            # lh_n = Involveder(**lh)
                            yg_n = Enterprise(**yg)
                            if not yg_n.isEnterprise():
                                yg_n = Person(**yg)
                                if not yg_n.isPerson():
                                    yg_n = Related(**yg)
                            yg_n = self.get_neo_node(yg_n)
                    if yg_n is not None:
                        nodes.append(yg_n)
                        relationships.append(
                            InvolveCase(yg_n, a_n, **{'案件身份': '原告'})
                        )
            pass

        if '送达公告' in etp['content'].keys():
            data = self.get_format_dict(
                etp['content']['送达公告']
            )
            cas = DeliveryAnnounce.create_from_dict(data)
            for ca in cas:
                a = ca.pop('announce')
                a_n = self.get_neo_node(a)
                if a_n is None:
                    continue
                nodes.append(a_n)
                bgs = ca.pop('defendant')
                for bg in bgs:
                    bg['链接'] = Enterprise.parser_url(bg['链接'])
                    if bg['名称'] == etp['name'] or bg['链接'] == etp_n['URL']:
                        bg_n = etp_n
                    else:
                        bg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                bg['链接'])
                        )
                        if bg_n is None:
                            # 创建这个对象
                            # sq_n = Involveder(**sq)
                            bg_n = Enterprise(**bg)
                            if not bg_n.isEnterprise():
                                bg_n = Person(**bg)
                                if not bg_n.isPerson():
                                    bg_n = Related(**bg)
                            bg_n = self.get_neo_node(bg_n)
                    if bg_n is not None:
                        nodes.append(bg_n)
                        relationships.append(
                            InvolveCase(bg_n, a_n, **{'案件身份': '被告'})
                        )
                ygs = ca.pop('plaintiff')
                for yg in ygs:
                    yg['链接'] = Enterprise.parser_url(yg['链接'])
                    if yg['名称'] == etp['name'] or yg['链接'] == etp_n['URL']:
                        yg_n = etp_n
                    else:
                        yg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                yg['链接'])
                        )
                        if yg_n is None:
                            # 创建这个对象
                            # lh_n = Involveder(**lh)
                            yg_n = Enterprise(**yg)
                            if not yg_n.isEnterprise():
                                yg_n = Person(**yg)
                                if not yg_n.isPerson():
                                    yg_n = Related(**yg)
                            yg_n = self.get_neo_node(yg_n)
                    if yg_n is not None:
                        nodes.append(yg_n)
                        relationships.append(
                            InvolveCase(yg_n, a_n, **{'案件身份': '原告'})
                        )
            pass

        if '立案信息' in etp['content'].keys():
            data = self.get_format_dict(
                etp['content']['立案信息']
            )
            cas = RegisterCase.create_from_dict(data)
            for ca in cas:
                c = ca.pop('case')
                c_n = self.get_neo_node(c)
                if c_n is None:
                    continue
                nodes.append(c_n)
                bgs = ca.pop('defendant')
                for bg in bgs:
                    bg['链接'] = Enterprise.parser_url(bg['链接'])
                    if bg['名称'] == etp['name'] or bg['链接'] == etp_n['URL']:
                        bg_n = etp_n
                    else:
                        bg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                bg['链接'])
                        )
                        if bg_n is None:
                            # 创建这个对象
                            # sq_n = Involveder(**sq)
                            bg_n = Enterprise(**bg)
                            if not bg_n.isEnterprise():
                                bg_n = Person(**bg)
                                if not bg_n.isPerson():
                                    bg_n = Related(**bg)
                            bg_n = self.get_neo_node(bg_n)
                    if bg_n is not None:
                        nodes.append(bg_n)
                        relationships.append(
                            InvolveCase(bg_n, c_n, **{'案件身份': '被告'})
                        )
                ygs = ca.pop('plaintiff')
                for yg in ygs:
                    yg['链接'] = Enterprise.parser_url(yg['链接'])
                    if yg['名称'] == etp['name'] or yg['链接'] == etp_n['URL']:
                        yg_n = etp_n
                    else:
                        yg_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                yg['链接'])
                        )
                        if yg_n is None:
                            # 创建这个对象
                            # lh_n = Involveder(**lh)
                            yg_n = Enterprise(**yg)
                            if not yg_n.isEnterprise():
                                yg_n = Person(**yg)
                                if not yg_n.isPerson():
                                    yg_n = Related(**yg)
                            yg_n = self.get_neo_node(yg_n)
                    if yg_n is not None:
                        nodes.append(yg_n)
                        relationships.append(
                            InvolveCase(yg_n, c_n, **{'案件身份': '原告'})
                        )
            pass

        if '终本案件' in etp['content'].keys():
            data = self.get_format_dict(
                etp['content']['终本案件']
            )
            cas = FinalCase.create_from_dict(data)
            for ca in cas:
                c = ca.pop('case')
                c_n = self.get_neo_node(c)
                if c_n is None:
                    continue
                nodes.append(c_n)
                relationships.append(
                    InvolveCase(etp_n, c_n)
                )

        if '裁判文书' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['裁判文书'])
            # 返回的是[[Ruling, 相关对象],[]...]
            rls = Judgment.create_from_dict(data)
            for ruling, involve in rls:
                rul_n = self.get_neo_node(ruling)
                if rul_n is None:
                    continue
                nodes.append(rul_n)
                for inv in involve:
                    # 案件相关主体
                    # 先判断是不是当前的企业
                    inv[2] = Enterprise.parser_url(inv[2])
                    if etp['name'] == inv[1] or etp['url'] == inv[2]:
                        # 如果是,直接关联起来
                        inv_n = etp_n
                    else:
                        # 1.先在企业中匹配
                        # 2.匹配自然人
                        inv_n = self.match_node(
                            *['Person'] + legal,
                            cypher='_.URL = "{}"'.format(
                                inv[2])
                        )
                        if inv_n is None:
                            # ivl = Involveder()
                            _ivl_ = {'名称': inv[1], '链接': inv[2]}
                            ivl = Enterprise(**_ivl_)
                            if not ivl.isEnterprise():
                                ivl = Person(**_ivl_)
                                if not ivl.isPerson():
                                    ivl = Related(**_ivl_)
                            inv_n = self.get_neo_node(ivl)
                    # 3.以上两者都没匹配到的时候,创建这个案件参与者
                    # 实际上还可以到其他实体中去匹配,但那些可能是数据
                    # 集之外的对象了,可以先不去管他们

                    if inv_n is not None:
                        nodes.append(inv_n)
                        relationships.append(
                            InvolveCase(
                                inv_n, rul_n, **{'案件身份': inv[0]}
                            )
                        )
            pass

        if '被执行人' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['被执行人'])
            eps = Enforcement.create_from_dict(data)
            for ep in eps:
                e = ep.pop('executed')
                e_n = self.get_neo_node(e)
                if e_n is not None:
                    nodes.append(e_n)
                    relationships.append(
                        InvolveCase(etp_n, e_n, **ep)
                    )
            pass

        if '失信被执行人' in etp['content'].keys():
            data = self.get_format_dict(
                etp['content']['失信被执行人']
            )
            eps = SXEnforcement.create_from_dict(data)
            for ep in eps:
                e = ep.pop('sxexecuted')
                e_n = self.get_neo_node(e)
                if e_n is not None:
                    nodes.append(e_n)
                    relationships.append(
                        InvolveCase(etp_n, e_n, **ep)
                    )
            pass

        if '限制高消费' in etp['content'].keys():
            data = self.get_format_dict(
                etp['content']['限制高消费']
            )
            for d in data:
                sq = d.pop('申请人')
                lh = d.pop('限消令对象')
                xg = d.pop('关联对象')
                sq['链接'] = Enterprise.parser_url(sq['链接'])
                lh['链接'] = Enterprise.parser_url(lh['链接'])
                xg['链接'] = Enterprise.parser_url(xg['链接'])
                _ = d.pop('案号')
                lo = dict(案号=_['名称'], 案号链接=_['链接'], **d)
                lo = LimitOrder(**lo)
                lo_n = self.get_neo_node(lo)
                if lo_n is None:
                    continue
                nodes.append(lo_n)
                if sq['名称'] == etp['name'] or sq['链接'] == etp_n['URL']:
                    sq_n = etp_n
                else:
                    sq_n = self.match_node(
                        *['Person'] + legal,
                        cypher='_.URL = "{}"'.format(
                            sq['链接'])
                    )
                    if sq_n is None:
                        # 创建这个对象
                        # sq_n = Involveder(**sq)
                        sq_n = Enterprise(**sq)
                        if not sq_n.isEnterprise():
                            sq_n = Person(**sq)
                            if not sq_n.isPerson():
                                sq_n = Related(**sq)
                        sq_n = self.get_neo_node(sq_n)
                if sq_n is not None:
                    nodes.append(sq_n)
                    relationships.append(
                        InvolveCase(sq_n, lo_n, **{'案件身份': '申请人'})
                    )
                if lh['名称'] == etp['name'] or lh['链接'] == etp_n['URL']:
                    lh_n = etp_n
                else:
                    lh_n = self.match_node(
                        *['Person'] + legal,
                        cypher='_.URL = "{}"'.format(
                            lh['链接'])
                    )
                    if lh_n is None:
                        # 创建这个对象
                        # lh_n = Involveder(**lh)
                        lh_n = Enterprise(**lh)
                        if not lh_n.isEnterprise():
                            lh_n = Person(**lh)
                            if not lh_n.isPerson():
                                lh_n = Related(**lh)
                        lh_n = self.get_neo_node(lh_n)
                if lh_n is not None:
                    nodes.append(lh_n)
                    relationships.append(
                        InvolveCase(lo_n, lh_n, **{'案件身份': '限制对象'})
                    )
                if xg['名称'] == etp['name'] or xg['链接'] == etp_n['URL']:
                    xg_n = etp_n
                else:
                    xg_n = self.match_node(
                        *['Person'] + legal,
                        cypher='_.URL = "{}"'.format(
                            xg['链接'])
                    )
                    if xg_n is None:
                        # 创建这个对象
                        # xg_n = Involveder(**xg)
                        xg_n = Enterprise(**xg)
                        if not xg_n.isEnterprise():
                            xg_n = Person(**xg)
                            if not xg_n.isPerson():
                                xg_n = Related(**xg)
                        xg_n = self.get_neo_node(xg_n)
                if xg_n is not None:
                    nodes.append(xg_n)
                    relationships.append(
                        InvolveCase(lo_n, xg_n, **{'案件身份': '关联对象'})
                    )
            pass

        if '股权冻结' in etp['content'].keys():
            data = self.get_format_dict(
                etp['content']['股权冻结']
            )
            for d in data:
                bd = d.pop('标的企业')
                zx = d.pop('被执行人')
                bd['链接'] = Enterprise.parser_url(bd['链接'])
                zx['链接'] = Enterprise.parser_url(zx['链接'])
                _1 = d.pop('股权数额')
                _2 = d.pop('类型|状态').split('|')
                sf = dict(冻结数额=_1['金额'], 金额单位=_1['单位'],
                          类型=_2[0], 状态=_2[1] if len(_2) > 1 else None, **d
                          )
                sf = StockFreeze(**sf)
                sf_n = self.get_neo_node(sf)
                if sf_n is None:
                    continue
                nodes.append(sf_n)
                if bd['名称'] == etp['name'] or bd['链接'] == etp_n['URL']:
                    bd_n = etp_n
                else:
                    bd_n = self.match_node(
                        *legal,
                        cypher='_.URL = "{}"'.format(
                            bd['链接'])
                    )
                    if bd_n is None:
                        # bd_n = Involveder(**bd)
                        bd_n = Enterprise(**bd)
                        if not bd_n.isEnterprise():
                            bd_n = Person(**bd)
                            if not bd_n.isPerson():
                                bd_n = Related(**bd)
                        bd_n = self.get_neo_node(bd_n)
                if bd_n is not None:
                    nodes.append(bd_n)
                    relationships.append(
                        InvolveCase(sf_n, bd_n, **{'案件身份': '标的企业'})
                    )
                if zx['名称'] == etp['name'] or zx['链接'] == etp_n['URL']:
                    zx_n = etp_n
                else:
                    zx_n = self.match_node(
                        *['Person'] + legal,
                        cypher='_.URL = "{}"'.format(
                            zx['链接'])
                    )
                    if zx_n is None:
                        # zx_n = Involveder(**zx)
                        zx_n = Enterprise(**zx)
                        if not zx_n.isEnterprise():
                            zx_n = Person(**zx)
                            if not zx_n.isPerson():
                                zx_n = Related(**zx)
                        zx_n = self.get_neo_node(zx_n)
                if zx_n is not None:
                    nodes.append(zx_n)
                    relationships.append(
                        InvolveCase(sf_n, zx_n, **{'案件身份': '被执行人'})
                    )
            pass

        return nodes, relationships
Esempio n. 15
0
    def get_all_nodes_from_enterprise(self, etp):
        nodes = [Enterprise(URL=etp['url'], NAME=etp['name'])]

        if '产权交易' in etp['content'].keys():
            # data = self.get_format_dict(etp['content']['产权交易'])
            # for d in data:
            #     bd = d.pop('标的')
            #     bd_n =
            pass
        if '行政许可' in etp['content'].keys():
            data = etp['content']['行政许可']
            if '工商局' in data.keys():
                d1 = self.get_format_dict(data['工商局'])
                ls = License.create_from_dict(d1, '工商局')
                for l in ls:
                    nodes.append(l.pop('license'))
                pass
            if '信用中国' in data.keys():
                d2 = self.get_format_dict(data['信用中国'])
                ls = License.create_from_dict(d2, '信用中国')
                for l in ls:
                    nodes.append(l.pop('license'))
                pass
            pass
        if '招投标信息' in etp['content'].keys():
            # 公示的招投标信息一般都是结果,一般情况下是找不到
            # 共同投标的单位,除非是共同中标
            data = self.get_format_dict(etp['content']['招投标信息'])
            bs = Bidding.create_from_dict(data)
            for b in bs:
                nodes.append(b.pop('bidding'))
            pass
        if '抽查检查' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['抽查检查'])
            cs = Check.create_from_dict(data)
            for c in cs:
                nodes.append(c.pop('check'))
            pass
        if '双随机抽查' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['双随机抽查'])
            rcs = RandomCheck.create_from_dict(data)
            # rcs_n = self.get_neo_node(rcs)
            for rc in rcs:
                # TODO(leung):随机抽查没有结果
                nodes.append(rc.pop('check'))
            pass
        if '税务信用' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['税务信用'])
            ts = TaxCredit.create_from_dict(data)
            # ts_n = self.get_neo_node(ts)
            for t in ts:
                nodes.append(t.pop('TaxCredit'))
            pass
        if '进出口信用' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['进出口信用'])
            ies = IAE.create_from_dict(data)
            # ies_n = self.get_neo_node(ies)
            for ie in ies:
                nodes.append(ie.pop('iae'))
            pass
        if '招聘' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['招聘'])
            rs = Position.create_from_dict(data)
            for r in rs:
                nodes.append(r.pop('position'))
            pass
        if '客户' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['客户'])
            cs = Client.create_from_dict(data)
            for c in cs:
                nodes.append(c.pop('client'))
            pass
        if '供应商' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['供应商'])
            ss = Supplier.create_from_dict(data)
            for s in ss:
                nodes.append(s.pop('supplier'))
            pass
        if '信用评级' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['信用评级'])
            for d in data:
                nodes.append(d.pop('评级公司'))
            pass
        if '土地转让' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['土地转让'])
            for d in data:
                e1 = d.pop('原土地使用权人')
                e2 = d.pop('现有土地使用权人')
                p = Plot(**d)
                nodes.append(p)
            pass
        return nodes
        pass
Esempio n. 16
0
 def get_all_nodes_and_relationships_from_enterprise(self, etp):
     etp_n = Enterprise(URL=etp['url'], NAME=etp['name'])
     etp_n = self.get_neo_node(etp_n)
     if etp_n is None:
         return [], []
     nodes, relationships = [], []
     nodes.append(etp_n)
     if '产权交易' in etp['content'].keys():
         # data = self.get_format_dict(etp['content']['产权交易'])
         # for d in data:
         #     bd = d.pop('标的')
         #     bd_n =
         pass
     if '行政许可' in etp['content'].keys():
         data = etp['content']['行政许可']
         if '工商局' in data.keys():
             d1 = self.get_format_dict(data['工商局'])
             ls = License.create_from_dict(d1, '工商局')
             for l in ls:
                 l_ = l.pop('license')
                 l_n = self.get_neo_node(l_)
                 if l_n is None:
                     continue
                 nodes.append(l_n)
                 relationships.append(Have(etp_n, l_n, **l))
             pass
         if '信用中国' in data.keys():
             d2 = self.get_format_dict(data['信用中国'])
             ls = License.create_from_dict(d2, '信用中国')
             for l in ls:
                 l_ = l.pop('license')
                 l_n = self.get_neo_node(l_)
                 if l_n is None:
                     continue
                 nodes.append(l_n)
                 relationships.append(Have(etp_n, l_n, **l))
             pass
         pass
     if '招投标信息' in etp['content'].keys():
         # 公示的招投标信息一般都是结果,一般情况下是找不到
         # 共同投标的单位,除非是共同中标
         data = self.get_format_dict(etp['content']['招投标信息'])
         bs = Bidding.create_from_dict(data)
         for b in bs:
             _ = b.pop('bidding')
             b_n = self.get_neo_node(_)
             if b_n is None:
                 continue
             # TODO(leung):项目分类用作了招投标结果
             nodes.append(b_n)
             relationships.append(
                 TakePartIn(etp_n, b_n, **dict(b, **{'RESULT':
                                                     b_n['TYPE']})))
         pass
     if '抽查检查' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['抽查检查'])
         cs = Check.create_from_dict(data)
         for c in cs:
             _ = c.pop('check')
             n = self.get_neo_node(_)
             if n is None:
                 continue
             nodes.append(n)
             relationships.append(
                 Have(etp_n, n, **dict(c, **{'RESULT': n['RESULT']})))
         pass
     if '双随机抽查' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['双随机抽查'])
         rcs = RandomCheck.create_from_dict(data)
         # rcs_n = self.get_neo_node(rcs)
         for rc in rcs:
             # TODO(leung):随机抽查没有结果
             _ = rc.pop('check')
             n = self.get_neo_node(_)
             if n is None:
                 continue
             nodes.append(n)
             relationships.append(Have(etp_n, n, **rc))
         pass
     if '税务信用' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['税务信用'])
         ts = TaxCredit.create_from_dict(data)
         # ts_n = self.get_neo_node(ts)
         for t in ts:
             _ = t.pop('TaxCredit')
             n = self.get_neo_node(_)
             if n is None:
                 continue
             # TODO(leung):纳税信用等级作为税务信用评级结果
             nodes.append(n)
             relationships.append(
                 Have(etp_n, n, **dict(RESULT=n['GRADE'], **t)))
         pass
     if '进出口信用' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['进出口信用'])
         ies = IAE.create_from_dict(data)
         # ies_n = self.get_neo_node(ies)
         for ie in ies:
             _ = ie.pop('iae')
             n = self.get_neo_node(_)
             if n is None:
                 continue
             nodes.append(n)
             relationships.append(Have(etp_n, n, **ie))
         pass
     if '招聘' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['招聘'])
         rs = Position.create_from_dict(data)
         for r in rs:
             _ = r.pop('position')
             n = self.get_neo_node(_)
             if n is None:
                 continue
             nodes.append(n)
             relationships.append(Recruit(etp_n, n, **r))
         pass
     if '客户' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['客户'])
         cs = Client.create_from_dict(data)
         for c in cs:
             cli = c.pop('client')
             cli_n = self.match_node(
                 *legal,
                 cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                     cli['URL'], cli['NAME']))
             if cli_n is None:
                 if cli.isEnterprise():
                     cli = Enterprise(**cli.to_dict(with_label=False))
                 cli_n = self.get_neo_node(cli)
                 if cli_n is None:
                     continue
             nodes.append(cli_n)
             relationships.append(SellTo(etp_n, cli_n, **c))
         pass
     if '供应商' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['供应商'])
         ss = Supplier.create_from_dict(data)
         for s in ss:
             sup = s.pop('supplier')
             sup_n = self.match_node(
                 *legal,
                 cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                     sup['URL'], sup['NAME']))
             if sup_n is None:
                 if sup.isEnterprise():
                     sup = Enterprise(**sup.to_dict(with_label=False))
                 sup_n = self.get_neo_node(sup)
                 if sup_n is None:
                     continue
             nodes.append(sup_n)
             relationships.append(BuyFrom(etp_n, sup_n, **s))
         pass
     if '信用评级' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['信用评级'])
         for d in data:
             _ = d.pop('评级公司')
             _['链接'] = Enterprise.parser_url(_['链接'])
             n = self.match_node(
                 *legal,
                 cypher='_.URL = "{}" OR _.NAME = "{}"'.format(
                     _['链接'], _['名称']))
             if n is None:
                 n = Enterprise(**_)
                 n = self.get_neo_node(n)
                 if n is None:
                     continue
             __ = d.pop('内容')
             d['评级内容'] = __['内容']
             d['评级链接'] = __['链接']
             nodes.append(n)
             relationships.append(Appraise(n, etp_n, **d))
         pass
     if '土地转让' in etp['content'].keys():
         data = self.get_format_dict(etp['content']['土地转让'])
         for d in data:
             e1 = d.pop('原土地使用权人')
             e2 = d.pop('现有土地使用权人')
             p = Plot(**d)
             p_n = self.get_neo_node(p)
             if p_n is None:
                 continue
             e1['链接'] = Enterprise.parser_url(e1['链接'])
             if e1['名称'] == etp['name'] or e1['链接'] == etp['url']:
                 n1 = etp_n
             else:
                 # 有可能是人
                 n1 = self.match_node(*legal,
                                      cypher='_.URL = "{}"'.format(
                                          e1['链接']))
                 if n1 is None:
                     n1 = Enterprise(**e1)
                     if not n1.isEnterprise():
                         n1 = Person(**e1)
                         if not n1.isPerson():
                             n1 = Related(**e1)
                     n1 = self.get_neo_node(n1)
             if n1 is not None:
                 nodes.append(n1)
                 nodes.append(p_n)
                 relationships.append(Sell(n1, p_n))
             e2['链接'] = Enterprise.parser_url(e2['链接'])
             if e2['名称'] == etp['name'] or e2['链接'] == etp['url']:
                 n2 = etp_n
             else:
                 n2 = self.match_node(*legal,
                                      cypher='_.URL = "{}"'.format(
                                          e2['链接']))
                 if n2 is None:
                     n2 = Enterprise(**e2)
                     if not n2.isEnterprise():
                         n2 = Person(**e2)
                         if not n2.isPerson():
                             n2 = Related(**e2)
                     n2 = self.get_neo_node(n2)
             if n2 is not None:
                 nodes.append(n2)
                 nodes.append(p_n)
                 relationships.append(Buy(n2, p_n))
         pass
     return nodes, relationships
Esempio n. 17
0
    def create_all_relationship(self):
        """
        1.enterprise -[compete]->enterprise
        :return:
        """
        ops = self.base.query(sql={'metaModel': '企业发展'},
                              field={
                                  'name': 1,
                                  'url': 1,
                                  'content.竞品信息': 1
                              },
                              limit=1000,
                              no_cursor_timeout=True)
        i, k = 0, 0
        eg = EtpGraph()
        etp_count = ops.count()
        relationships = []
        etp = Enterprise()
        for o in ops:
            k += 1
            # if k < 41321:
            #     continue
            # TODO(leung): 这里要注意,基本信息以外的模块中的url确定不了公司
            etp_n = self.match_node(*legal,
                                    cypher='_.NAME = "{}"'.format(o['name']))
            if etp_n is None:
                # 如果这个公司还没在数据库里面,那么应该创建这个公司
                _ = self.base.query_one(sql={
                    'metaModel': '基本信息',
                    'name': o['name']
                })
                if _ is not None:
                    etp = Enterprise(_)
                    etp_n = self.get_neo_node(etp)
                    # 虽然在创建司法关系的时候会创建未在库中的企业,但不会创建
                    # 这个企业的基本关系,因此需要添加其基本关系
                    relationships += eg.create_relationship_from_enterprise_baseinfo(
                        _)
                    pass
                else:
                    # 没有这个公司的信息,那就创建一个信息不全的公司
                    # etp = Enterprise({'name': o['name'], 'url': o['url']})
                    etp = Related()
                    etp['NAME'] = o['name']
                    etp['URL'] = o['url']
                    etp_n = self.get_neo_node(etp)
                    pass

            if '竞品信息' in o['content'].keys():
                data = self.get_format_dict(o['content']['竞品信息'])
                for d in data:
                    etp_2 = d.pop('关联企业')
                    if etp_2['名称'] is not None and len(etp_2['名称']) > 1:
                        etp_2['链接'] = etp.parser_url(etp_2['链接'])
                        etp_n_2 = self.match_node(*legal,
                                                  cypher='_.URL = "{}"'.format(
                                                      etp_2['链接']))
                        if etp_n_2 is None and etp_2['名称'] > 1:
                            _ = {
                                'URL': etp_2['链接'],
                                'NAME': etp_2['名称'],
                                '简介': d.pop('产品介绍'),
                                '成立日期': d.pop('成立日期'),
                                '融资信息': d.pop('融资信息'),
                                '所属地': d.pop('所属地'),
                            }
                            etp_n_2 = Related(**_)
                            etp_n_2 = self.get_neo_node(etp_n_2)
                        relationships.append(
                            Compete(etp_n, etp_n_2, **d).get_relationship())

                pass
            if len(relationships) > 1000:
                i += 1
                self.graph_merge_relationships(relationships)
                if not self.index_and_constraint_statue:
                    self.create_index_and_constraint()
                print(
                    SuccessMessage(
                        '{}:success merge relationships to database '
                        'round {} and deal {}/{} enterprise,and'
                        ' merge {} relationships.'.format(
                            dt.datetime.now(), i, k, etp_count,
                            len(relationships))))
                relationships.clear()
                # return
        if len(relationships):
            i += 1
            self.graph_merge_relationships(relationships)
            if not self.index_and_constraint_statue:
                self.create_index_and_constraint()
            print(
                SuccessMessage('{}:success merge relationships to database '
                               'round {} and deal {}/{} enterprise,and'
                               ' merge {} relationships.'.format(
                                   dt.datetime.now(), i, k, etp_count,
                                   len(relationships))))
            relationships.clear()
            pass
Esempio n. 18
0
    def create_all_relationship(self):
        """
        1.enterprise -[have or x]->x
        :return:
        """
        ops = self.base.query(
            sql={'metaModel': '公司新闻'},
            # limit=10,
            skip=2020,
            no_cursor_timeout=True)
        i, k = 0, 0
        eg = EtpGraph()
        etp_count = ops.count()
        relationships = []
        # etp = Enterprise()
        s_t = time.time()
        for o in ops:
            k += 1
            # if k < 43500:
            #     continue
            # TODO(leung): 这里要注意,基本信息以外的模块中的url确定不了公司
            etp_n = self.match_node(
                *legal,
                cypher='_.NAME = "{}"'.format(o['name'])
            )
            if etp_n is None:
                # 如果这个公司还没在数据库里面,那么应该创建这个公司
                _ = self.base.query_one(
                    sql={'metaModel': '基本信息', 'name': o['name']}
                )
                if _ is not None:
                    etp = Enterprise(_)
                    etp_n = self.get_neo_node(etp)
                    # 虽然在创建司法关系的时候会创建未在库中的企业,但不会创建
                    # 这个企业的基本关系,因此需要添加其基本关系
                    relationships += eg.create_relationship_from_enterprise_baseinfo(_)
                    pass
                else:
                    # 没有这个公司的信息,那就创建一个信息不全的公司
                    etp = Related(**{'名称': o['name'], '链接': o['url']})
                    # etp['NAME'] = o['name']
                    # etp['URL'] = o['url']
                    etp_n = self.get_neo_node(etp)
                    if etp_n is None:
                        continue
                    pass

            if '新闻舆情' in o['content'].keys():
                data = self.get_format_dict(o['content']['新闻舆情'])
                ns = News.create_from_dict(data)
                for n in ns:
                    n_ = n.pop('news')
                    n_n = self.get_neo_node(n_)
                    if n_n is not None:
                        relationships.append(
                            Have(etp_n, n_n, **n).get_relationship()
                        )
                pass
            if len(relationships) > 1000:
                i += 1
                sp = int(time.time() - s_t)
                s_t = time.time()
                self.graph_merge_relationships(relationships)
                if not self.index_and_constraint_statue:
                    self.create_index_and_constraint()
                print(SuccessMessage('{}:success merge relationships to database '
                                     'round {} and deal {}/{} enterprise and spend {} '
                                     'seconds,and merge {} relationships.'.format(
                    dt.datetime.now(), i, k, etp_count, sp, len(relationships)
                )))
                relationships.clear()
                # return
        if len(relationships):
            i += 1
            self.graph_merge_relationships(relationships)
            if not self.index_and_constraint_statue:
                self.create_index_and_constraint()
            print(SuccessMessage('{}:success merge relationships to database '
                                 'round {} and deal {}/{} enterprise,and'
                                 ' merge {} relationships.'.format(
                dt.datetime.now(), i, k, etp_count, len(relationships)
            )))
            relationships.clear()
            pass
Esempio n. 19
0
    def get_all_nodes_and_relationships_from_enterprise(self, etp):
        etp_n = Enterprise(URL=etp['url'], NAME=etp['name'])
        etp_n = self.get_neo_node(etp_n)
        if etp_n is None:
            return [], []
        nodes, relationships = [], []
        nodes.append(etp_n)

        if '网站信息' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['网站信息'])
            webs = Website.create_from_dict(data)
            for web in webs:
                w = web.pop('website')
                w_n = self.get_neo_node(w)
                if w_n is not None:
                    nodes.append(w_n)
                    relationships.append(Have(etp_n, w_n, **web))
            pass

        if '证书信息' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['证书信息'])
            ctfs = Certificate.create_from_dict(data)
            for ctf in ctfs:
                c = ctf.pop('certificate')
                c_n = self.get_neo_node(c)
                if c_n is not None:
                    nodes.append(c_n)
                    relationships.append(Have(etp_n, c_n, **ctf))
            pass

        if '专利信息' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['专利信息'])
            pats = Patent.create_from_dict(data)
            for pat in pats:
                p = pat.pop('patent')
                p_n = self.get_neo_node(p)
                if p_n is not None:
                    nodes.append(p_n)
                    relationships.append(Have(etp_n, p_n, **pat))
            pass

        if '商标信息' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['商标信息'])
            tms = Trademark.create_from_dict(data)
            for tm in tms:
                t = tm.pop('trademark')
                t_n = self.get_neo_node(t)
                if t_n is not None:
                    nodes.append(t_n)
                    relationships.append(Have(etp_n, t_n, **tm))
            pass

        if '软件著作权' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['软件著作权'])
            scrs = SoftCopyRight.create_from_dict(data)
            for scr in scrs:
                s = scr.pop('softcopyright')
                s_n = self.get_neo_node(s)
                if s_n is not None:
                    nodes.append(s_n)
                    relationships.append(Have(etp_n, s_n, **scr))
            pass

        if '作品著作权' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['作品著作权'])
            wcrs = WorkCopyRight.create_from_dict(data)
            for wcr in wcrs:
                w = wcr.pop('workcopyright')
                w_n = self.get_neo_node(w)
                if w_n is not None:
                    nodes.append(w_n)
                    relationships.append(Have(etp_n, w_n, **wcr))
            pass

        if '微博' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['微博'])
            wbs = Weibo.create_from_dict(data)
            for wb in wbs:
                w = wb.pop('weibo')
                w_n = self.get_neo_node(w)
                if w_n is not None:
                    nodes.append(w_n)
                    relationships.append(Have(etp_n, w_n, **wb))
            pass

        if '微信公众号' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['微信公众号'])
            oas = OfficialAccount.create_from_dict(data)
            for oa in oas:
                woa = oa.pop('WeChat')
                woa_n = self.get_neo_node(woa)
                if woa_n is not None:
                    nodes.append(woa_n)
                    relationships.append(Have(etp_n, woa_n, **oa))
            pass

        if '小程序' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['小程序'])
            alts = Applets.create_from_dict(data)
            for alt in alts:
                a = alt.pop('applets')
                a_n = self.get_neo_node(a)
                if a_n is not None:
                    nodes.append(a_n)
                    relationships.append(Have(etp_n, a_n, **alt))
            pass

        if 'APP' in etp['content'].keys():
            data = self.get_format_dict(etp['content']['APP'])
            aps = App.create_from_dict(data)
            for ap in aps:
                a = ap.pop('app')
                a_n = self.get_neo_node(a)
                if a_n is not None:
                    nodes.append(a_n)
                    relationships.append(Have(etp_n, a_n, **ap))
            pass
        return nodes, relationships