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
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
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