118 lines
3.0 KiB
Python
118 lines
3.0 KiB
Python
def compliance_risk(param):
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"""
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合规风险
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清洗数据库数据，根据需要返回
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Parameters:
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param: 数据库数据
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Returns:
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合规风险数据
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"""
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data = param['风险数据']['合规风险']
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result = list()
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part_01 = dict()
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yes_no = list()
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for key, value in data.items():
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if value > 0:
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yes_no.append('有')
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else:
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yes_no.append('无')
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part_01['yes_no_01'] = yes_no[0]
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part_01['yes_no_02'] = yes_no[1]
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part_01['yes_no_03'] = yes_no[2]
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part_01['yes_no_04'] = yes_no[3]
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part_01['yes_no_05'] = yes_no[4]
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part_01['yes_no_06'] = yes_no[5]
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part_01['yes_no_07'] = yes_no[6]
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if '有' not in yes_no:
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part_01['risk_level'] = '低'
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else:
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part_01['risk_level'] = '高'
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result.append(part_01)
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return result
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def operational_risk(param):
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"""
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经营风险
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清洗数据库数据，根据需要返回
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Parameters:
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param: 数据库数据
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Returns:
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经营风险数据
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"""
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# Params
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data = param['风险数据']['经营风险']
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# Returns
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result = list()
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def para_01():
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part_01 = dict()
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def risk_num():
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num = 0
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for key, value in data.items():
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num += value
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if num > 50:
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part_01['risk_level'] = '较高'
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elif num > 30:
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part_01['risk_level'] = '适中'
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else:
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part_01['risk_level'] = '较低'
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part_01['risk_num'] = str(num)
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risk_num()
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return part_01
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result.append(para_01())
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return result
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def associated_risk(param):
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"""
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关联风险
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清洗数据库数据，根据需要返回
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Parameters:
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param: 数据库数据
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Returns:
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关联风险数据
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"""
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# Params
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data = param['周边风险']['周边风险']['list']
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extent = ["失信被执行人", "司法拍卖", "限制消费令", "强制清算", "涉金融黑名单", "破产案件", "欠税公告",
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"环保处罚", "立案信息", "税收违法", "违规处理"]
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# Returns
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result = list()
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def para_01():
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part_01 = dict()
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part_01['include'] = '不包括'
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num = 0
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for item in data:
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if item['title'] in extent:
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part_01['include'] = '包括'
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num += item['total']
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def include_will():
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if num < 50 and part_01['include'] == '不包括':
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part_01['will'] = '不会'
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else:
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part_01['will'] = '会'
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def risk_level():
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if num > 50 and part_01['include'] == '包括':
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part_01['risk_level'] = '较高'
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elif 20 < num < 50 and part_01['include'] == '不包括':
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part_01['risk_level'] = '适中'
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else:
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part_01['risk_level'] = '较低'
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part_01['risk_num'] = str(num)
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include_will()
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risk_level()
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return part_01
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result.append(para_01())
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return result
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