update 股东部分/关联风险/关注
This commit is contained in:
彭森
parent
d4e3394865
commit
007e1b09fe
|
|
@ -38,7 +38,7 @@ class CleanModel:
|
|||
data['进出口权'] = import_export(self.data)
|
||||
data['知识产权'] = intellectual_property(self.data)
|
||||
data['资质荣誉'] = qualification_honor(self.data)
|
||||
data['融资信息'] = financing_information(self.data)
|
||||
# data['融资信息'] = financing_information(self.data)
|
||||
return data
|
||||
|
||||
def esg_evaluate(self):
|
||||
|
|
|
|||
|
|
@ -27,7 +27,7 @@ def get_tfse_data(param):
|
|||
# 基本信息
|
||||
cbd = find_tyc_db(db='公司背景', col='基本信息', query={'企业名称': company})[0]
|
||||
# 企业股东
|
||||
cs = find_tyc_db(db='公司背景', col='企业股东', query={'企业名称': company})[0]
|
||||
cs = find_tyc_db(db='公司背景', col='企业股东', query={'企业名称': '四川麦克福瑞制药有限公司'})[0]
|
||||
# 对外投资
|
||||
oi = find_tyc_db(db='公司背景', col='对外投资', query={'企业名称': company})[0]
|
||||
# 进出口信用
|
||||
|
|
@ -37,11 +37,13 @@ def get_tfse_data(param):
|
|||
# 软件著作权
|
||||
sc = find_tyc_db(db='知识产权', col='软件著作权', query={'企业名称': company})[0]
|
||||
# 资质证书
|
||||
qh = find_tyc_db(db='经营状况', col='资质证书', query={'企业名称': '四川麦克福瑞制药有限公司'})[0]
|
||||
qh = find_tyc_db(db='经营状况', col='资质证书', query={'企业名称': company})[0]
|
||||
# 融资历史
|
||||
fh = find_tyc_db(db='公司发展', col='融资历史', query={'企业名称': company})[0]
|
||||
# 风险数据
|
||||
rd = find_tfse_db(db='评价', col='风险数据', query={'企业ID': cid})[0]
|
||||
# 周边风险
|
||||
pr = find_tyc_db(db='天眼风险', col='周边风险', query={'企业名称': company})[0]
|
||||
report_data['评价结果'] = es
|
||||
report_data['综合评价填报'] = cef
|
||||
report_data['指标明细'] = fid
|
||||
|
|
@ -54,6 +56,7 @@ def get_tfse_data(param):
|
|||
report_data['资质证书'] = qh
|
||||
report_data['融资历史'] = fh
|
||||
report_data['风险数据'] = rd
|
||||
report_data['周边风险'] = pr
|
||||
|
||||
return report_data
|
||||
|
||||
|
|
@ -90,33 +93,33 @@ def financial_data(param):
|
|||
for key, value in data_01['资产负债表'][0].items():
|
||||
insert_list = list()
|
||||
insert_list.append(key)
|
||||
insert_list.append(value)
|
||||
insert_list.append(data_01['资产负债表'][1][key])
|
||||
insert_list.append(data_01['资产负债表'][2][key])
|
||||
insert_list.append(str(value))
|
||||
insert_list.append(str(data_01['资产负债表'][1][key]))
|
||||
insert_list.append(str(data_01['资产负债表'][2][key]))
|
||||
result.append(insert_list)
|
||||
for key, value in data_01['利润表'][0].items():
|
||||
if key != '报告期':
|
||||
insert_list = list()
|
||||
insert_list.append(key)
|
||||
insert_list.append(value)
|
||||
insert_list.append(data_01['利润表'][1][key])
|
||||
insert_list.append(data_01['利润表'][2][key])
|
||||
insert_list.append(str(value))
|
||||
insert_list.append(str(data_01['利润表'][1][key]))
|
||||
insert_list.append(str(data_01['利润表'][2][key]))
|
||||
result.append(insert_list)
|
||||
for k, v in data_02[0].items():
|
||||
if k != '企业名称' and k != '年报期':
|
||||
if k != '企业名称' and k != '年报期' and k != '企业ID':
|
||||
try:
|
||||
insert_list = list()
|
||||
insert_list.append(k)
|
||||
insert_list.append(v)
|
||||
insert_list.append(data_02[1][k])
|
||||
insert_list.append(data_02[2][k])
|
||||
insert_list.append(str(v))
|
||||
insert_list.append(str(data_02[1][k]))
|
||||
insert_list.append(str(data_02[2][k]))
|
||||
result.append(insert_list)
|
||||
except IndexError:
|
||||
insert_list = list()
|
||||
insert_list.append(k)
|
||||
insert_list.append(v)
|
||||
insert_list.append('')
|
||||
insert_list.append('')
|
||||
insert_list.append(str(v))
|
||||
insert_list.append(str(data_02[1][k]))
|
||||
insert_list.append('-')
|
||||
result.append(insert_list)
|
||||
|
||||
return result
|
||||
|
|
@ -170,7 +173,7 @@ def evaluation_view(param1, param2):
|
|||
else:
|
||||
result['esg_desc'] = esg_desc_03
|
||||
# 盈利能力
|
||||
profitability_score = float(data_03['财务评分']['净资产收益率']) + float(data_03['财务评分']['总资产报酬率'])
|
||||
profitability_score = float(data_03['财务评分']['盈利能力']['净资产收益率']) + float(data_03['财务评分']['盈利能力']['总资产报酬率'])
|
||||
if profitability_score >= 16:
|
||||
result['profitability'] = '好'
|
||||
elif profitability_score >= 16 * 0.8:
|
||||
|
|
@ -182,8 +185,8 @@ def evaluation_view(param1, param2):
|
|||
else:
|
||||
result['profitability'] = '差'
|
||||
# 资产运营效率
|
||||
operation_score = float(data_03['财务评分']['总资产周转率']) + float(data_03['财务评分']['应收账款周转率']) + float(
|
||||
data_03['财务评分']['存货周转率'])
|
||||
operation_score = float(data_03['财务评分']['资产质量']['总资产周转率']) + float(data_03['财务评分']['资产质量']['应收账款周转率']) + float(
|
||||
data_03['财务评分']['资产质量']['存货周转率'])
|
||||
if operation_score >= 18:
|
||||
result['operational_efficiency'] = '高'
|
||||
elif operation_score >= 18 * 0.8:
|
||||
|
|
@ -195,8 +198,8 @@ def evaluation_view(param1, param2):
|
|||
else:
|
||||
result['operational_efficiency'] = '低'
|
||||
# 债务风险得分
|
||||
debt_risk_score = float(data_03['财务评分']['资产负债率']) + float(data_03['财务评分']['已获利息倍数']) + float(
|
||||
data_03['财务评分']['速动比率'])
|
||||
debt_risk_score = float(data_03['财务评分']['债务风险']['资产负债率']) + float(data_03['财务评分']['债务风险']['已获利息倍数']) + float(
|
||||
data_03['财务评分']['债务风险']['速动比率'])
|
||||
if debt_risk_score >= 18:
|
||||
result['debt_risk'] = '大'
|
||||
elif debt_risk_score >= 18 * 0.8:
|
||||
|
|
@ -208,8 +211,8 @@ def evaluation_view(param1, param2):
|
|||
else:
|
||||
result['debt_risk'] = '小'
|
||||
# 经营增长状况得分
|
||||
growth_ability_score = float(data_03['财务评分']['营业增长率']) + float(data_03['财务评分']['总资产增长率']) + float(
|
||||
data_03['财务评分']['技术投入比率'])
|
||||
growth_ability_score = float(data_03['财务评分']['经营增长']['营业增长率']) + float(data_03['财务评分']['经营增长']['总资产增长率']) + float(
|
||||
data_03['财务评分']['经营增长']['技术投入比率'])
|
||||
if growth_ability_score >= 18:
|
||||
result['growth_ability'] = '强'
|
||||
elif growth_ability_score >= 18 * 0.8:
|
||||
|
|
@ -236,10 +239,29 @@ def evaluation_view(param1, param2):
|
|||
|
||||
|
||||
def attention(param):
|
||||
weight = dict()
|
||||
weight['净资产收益率'] = 8
|
||||
weight['总资产报酬率'] = 8
|
||||
weight['总资产周转率'] = 6
|
||||
weight['应收账款周转率'] = 6
|
||||
weight['存货周转率'] = 6
|
||||
weight['资产负债率'] = 8
|
||||
weight['已获利息倍数'] = 5
|
||||
weight['速动比率'] = 5
|
||||
weight['营业增长率'] = 8
|
||||
weight['总资产增长率'] = 5
|
||||
weight['技术投入比率'] = 5
|
||||
data = param['评价结果']['财务评分']
|
||||
del param['评价结果']['财务评分']['合计']
|
||||
for k, v in data.items():
|
||||
for k_1, v_1 in v.items():
|
||||
if k_1 != '合计':
|
||||
weight[k_1] = round(v_1 / weight[k_1], 2)
|
||||
res = sorted(weight.items(), key=lambda x: x[1])
|
||||
result = dict()
|
||||
result['attention_01'] = ''
|
||||
result['attention_02'] = ''
|
||||
result['attention_03'] = ''
|
||||
result['attention_01'] = res[0][0]
|
||||
result['attention_02'] = res[1][0]
|
||||
result['attention_03'] = res[2][0]
|
||||
return result
|
||||
|
||||
|
||||
|
|
@ -326,6 +348,41 @@ def calculate_growth_rate(param1, param2):
|
|||
return rate
|
||||
|
||||
|
||||
def shareholder_strength_data(param):
|
||||
"""
|
||||
股东数据
|
||||
清洗数据库数据，根据需要返回
|
||||
Parameters:
|
||||
param: 企业名称
|
||||
Returns:
|
||||
股东数据
|
||||
"""
|
||||
data = dict()
|
||||
# 基本信息
|
||||
cbd = find_tyc_db(db='公司背景', col='基本信息', query={'企业名称': param})[0]
|
||||
# 企业股东
|
||||
cs = find_tyc_db(db='公司背景', col='企业股东', query={'企业名称': param})[0]
|
||||
data['基本信息'] = cbd
|
||||
data['企业股东'] = cs
|
||||
|
||||
return data
|
||||
|
||||
def person_subsidiaries(param):
|
||||
"""
|
||||
人员控股数据
|
||||
清洗数据库数据，根据需要返回
|
||||
Parameters:
|
||||
param: 人员id
|
||||
Returns:
|
||||
人员控股数据
|
||||
"""
|
||||
data = dict()
|
||||
# 控股数据
|
||||
ps = find_tyc_db(db='公司背景', col='人员控股企业', query={'人员ID': param})[0]
|
||||
data['人员控股企业'] = ps
|
||||
return data
|
||||
|
||||
|
||||
def shareholder_strength(param):
|
||||
"""
|
||||
股东实力
|
||||
|
|
@ -335,7 +392,57 @@ def shareholder_strength(param):
|
|||
Returns:
|
||||
股东实力数据
|
||||
"""
|
||||
return 'ok'
|
||||
data_01 = param['企业股东']['企业股东']
|
||||
result = dict()
|
||||
result['part_01'] = dict()
|
||||
if data_01['result'][0]['type'] == 1:
|
||||
shareholder = data_01['result'][0]['name']
|
||||
# 大股东名称
|
||||
result['part_01']['company'] = shareholder
|
||||
# 股东-基本信息
|
||||
data_02 = shareholder_strength_data(shareholder)['基本信息']['基本信息']
|
||||
# 股东-企业股东
|
||||
data_03 = shareholder_strength_data(shareholder)['企业股东']['企业股东']
|
||||
result['part_01']['found_date'] = time_stamp(data_02['estiblishTime'])
|
||||
result['part_01']['registered_capital'] = data_02['regCapital']
|
||||
result['part_01']['registered_capital'] = data_02['actualCapital']
|
||||
result['part_01']['share_holders'] = data_03['result'][0]['name']
|
||||
result['part_01']['share_rates'] = data_03['result'][0]['capital'][0]['percent']
|
||||
result['part_01']['business_scope'] = data_02['businessScope']
|
||||
result['part_02'] = dict()
|
||||
esatablish = datetime.datetime.today().year - int(result['part_01']['found_date'][:4])
|
||||
if esatablish >= 5:
|
||||
result['part_02']['establish_time'] = '较长'
|
||||
else:
|
||||
result['part_02']['establish_time'] = '较短'
|
||||
regcapital = float(data_02['regCapital'].replace('万人民币', ''))
|
||||
if regcapital >= 30000:
|
||||
result['part_02']['capital_strength'] = '强'
|
||||
result['part_02']['support_strength'] = '有望在业务和资金方面给予公司一定支持'
|
||||
elif regcapital >= 10000:
|
||||
result['part_02']['capital_strength'] = '较强'
|
||||
result['part_02']['support_strength'] = '有望在业务和资金方面给予公司一定支持'
|
||||
elif regcapital >= 3000:
|
||||
result['part_02']['capital_strength'] = '尚可'
|
||||
result['part_02']['support_strength'] = '对公司的支持力度或较弱'
|
||||
elif regcapital >= 1000:
|
||||
result['part_02']['capital_strength'] = '较弱'
|
||||
result['part_02']['support_strength'] = '对公司的支持力度或较弱'
|
||||
else:
|
||||
result['part_02']['capital_strength'] = '弱'
|
||||
result['part_02']['support_strength'] = '对公司的支持力度或较弱'
|
||||
else:
|
||||
result['part_01']['name'] = data_01['result'][0]['name']
|
||||
result['part_01']['enterprise_amount'] = 0
|
||||
subsidiaries = person_subsidiaries(data_01['result'][0]['id'])
|
||||
if len(subsidiaries['人员控股企业']['人员控股企业']) > 0:
|
||||
for item in subsidiaries['人员控股企业']['items']:
|
||||
reg = float(item['regCapital'].replace('万人民币', ''))
|
||||
percent = float(item['percent'].replace('%', ''))
|
||||
if reg > 3000 and percent > 50:
|
||||
result['part_01']['enterprise_amount'] += 1
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def outbound_investment(param):
|
||||
|
|
@ -676,9 +783,9 @@ def qualification_honor(param):
|
|||
insert_data.append(item['startDate'])
|
||||
insert_data.append(item['endDate'])
|
||||
result['part_03'].append(insert_data)
|
||||
result['part_01']['Qualification'] = '、'.join(result['part_01']['Qualification'])
|
||||
result['part_02']['Qualification_international'] = '、'.join(result['part_02']['Qualification_international'])
|
||||
result['part_02']['Qualification_image'] = '、'.join(result['part_02']['Qualification_image'])
|
||||
result['part_01']['Qualification'] = '、'.join(result['part_01']['Qualification'])
|
||||
result['part_02']['Qualification_international'] = '、'.join(result['part_02']['Qualification_international'])
|
||||
result['part_02']['Qualification_image'] = '、'.join(result['part_02']['Qualification_image'])
|
||||
return result
|
||||
|
||||
|
||||
|
|
@ -850,7 +957,7 @@ def profitability(param):
|
|||
else:
|
||||
result['part_02']['income_scale'] = '小'
|
||||
# 产品技术含量
|
||||
rona = data_02['财务评分']['净资产收益率']
|
||||
rona = data_02['财务评分']['盈利能力']['净资产收益率']
|
||||
if rona >= 8:
|
||||
result['part_02']['technology_level'] = '高'
|
||||
elif rona >= 8 * 0.8:
|
||||
|
|
@ -870,7 +977,7 @@ def profitability(param):
|
|||
# 总资产报酬率
|
||||
result['part_02']['return_on_total_assets_analysis'] = str(data_03[1]['总资产报酬率'])
|
||||
# 盈利能力
|
||||
p_score = data_02['财务评分']['净资产收益率'] + data_02['财务评分']['总资产报酬率']
|
||||
p_score = data_02['财务评分']['盈利能力']['净资产收益率'] + data_02['财务评分']['盈利能力']['总资产报酬率']
|
||||
if p_score >= 16:
|
||||
result['part_02']['profitability_analysis'] = '好'
|
||||
elif p_score >= 16 * 0.8:
|
||||
|
|
@ -907,7 +1014,7 @@ def asset_quality(param):
|
|||
# 总资产周转率
|
||||
result['part_03']['total_assets_turnover_analysis'] = str(data_03[0]['总资产周转率'])
|
||||
# 行业水平/资产质量
|
||||
a_s = data_02['财务评分']['总资产周转率'] + data_02['财务评分']['应收账款周转率'] + data_02['财务评分']['存货周转率']
|
||||
a_s = data_02['财务评分']['资产质量']['总资产周转率'] + data_02['财务评分']['资产质量']['应收账款周转率'] + data_02['财务评分']['资产质量']['存货周转率']
|
||||
if a_s >= 18:
|
||||
result['part_03']['industry_level'] = '高'
|
||||
result['part_03']['asset_quality'] = '好'
|
||||
|
|
@ -939,7 +1046,7 @@ def debt_risk(param):
|
|||
data_03 = param['指标明细']
|
||||
result = dict()
|
||||
result['part_02'] = dict()
|
||||
d_s = data_02['财务评分']['资产负债率'] + data_02['财务评分']['已获利息倍数'] + data_02['财务评分']['速动比率']
|
||||
d_s = data_02['财务评分']['债务风险']['资产负债率'] + data_02['财务评分']['债务风险']['已获利息倍数'] + data_02['财务评分']['债务风险']['速动比率']
|
||||
if d_s >= 18:
|
||||
result['part_02']['debt_risk'] = '大'
|
||||
elif d_s >= 18 * 0.8:
|
||||
|
|
@ -976,7 +1083,7 @@ def debt_risk(param):
|
|||
else:
|
||||
result['part_02']['fin_structure_analysis'] = '欠稳健'
|
||||
# 经营性现金流对利息的保障程度
|
||||
ic_s = data_02['财务评分']['已获利息倍数']
|
||||
ic_s = data_02['财务评分']['债务风险']['已获利息倍数']
|
||||
if ic_s >= 5:
|
||||
result['part_02']['operating_cash_flow_to_debt'] = '强'
|
||||
elif ic_s >= 5 * 0.8:
|
||||
|
|
@ -990,7 +1097,7 @@ def debt_risk(param):
|
|||
# 已获利息倍数
|
||||
result['part_02']['interest_cover'] = data_03[0]['已获利息倍数']
|
||||
# 资产流动性
|
||||
qr_s = data_02['财务评分']['速动比率']
|
||||
qr_s = data_02['财务评分']['债务风险']['速动比率']
|
||||
if qr_s >= 5:
|
||||
result['part_02']['Assets_liquidity'] = '好'
|
||||
elif qr_s >= 5 * 0.8:
|
||||
|
|
@ -1021,7 +1128,7 @@ def growth_ability(param):
|
|||
result = dict()
|
||||
result['part_02'] = dict()
|
||||
# 重视程度
|
||||
ti_s = data_02['财务评分']['技术投入比率']
|
||||
ti_s = data_02['财务评分']['经营增长']['技术投入比率']
|
||||
if ti_s >= 5 * 0.7:
|
||||
result['part_02']['degree_of_imprtance'] = '重视技术研发或先进工艺的开发'
|
||||
elif ti_s >= 5 * 0.4:
|
||||
|
|
@ -1031,7 +1138,7 @@ def growth_ability(param):
|
|||
# 技术投入比
|
||||
result['part_02']['technology_input_ratio'] = data_03[1]['技术投入比率']
|
||||
# 创新对公司贡献/整体成长能力
|
||||
ga_s = data_02['财务评分']['营业增长率'] + data_02['财务评分']['总资产增长率'] + data_02['财务评分']['技术投入比率']
|
||||
ga_s = data_02['财务评分']['经营增长']['营业增长率'] + data_02['财务评分']['经营增长']['总资产增长率'] + data_02['财务评分']['经营增长']['技术投入比率']
|
||||
if ga_s >= 18:
|
||||
result['part_02']['contribution'] = '大'
|
||||
result['part_02']['growth_ability'] = '好'
|
||||
|
|
@ -1111,7 +1218,19 @@ def associated_risk(param):
|
|||
Returns:
|
||||
关联风险数据
|
||||
"""
|
||||
data = param['周边风险']['周边风险']['list']
|
||||
result = dict()
|
||||
result['risk_num'] = 0
|
||||
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", "严重违法", "经营异常", "欠税公告",
|
||||
"环保处罚", "立案信息", "税收违法", "违规处理"]
|
||||
for item in data:
|
||||
if item['title'] in extent:
|
||||
result['include'] = '包括'
|
||||
else:
|
||||
result['include'] = '不包括'
|
||||
result['risk_num'] += item['total']
|
||||
if result['risk_num'] > 50:
|
||||
result['include'] = '包括'
|
||||
return result
|
||||
|
||||
|
||||
|
|
@ -1162,7 +1281,7 @@ def conclusion(param):
|
|||
else:
|
||||
result['part_02']['enterprise_quality'] = '差'
|
||||
# 公司盈利能力得分
|
||||
p_s = data_01['财务评分']['净资产收益率'] + data_01['财务评分']['总资产报酬率']
|
||||
p_s = data_01['财务评分']['盈利能力']['净资产收益率'] + data_01['财务评分']['盈利能力']['总资产报酬率']
|
||||
if p_s >= 16:
|
||||
result['part_02']['Profitability'] = '强'
|
||||
elif p_s >= 16 * 0.8:
|
||||
|
|
@ -1174,7 +1293,7 @@ def conclusion(param):
|
|||
else:
|
||||
result['part_02']['Profitability'] = '弱'
|
||||
# 资产质量得分
|
||||
aq_s = data_01['财务评分']['总资产周转率'] + data_01['财务评分']['应收账款周转率'] + data_01['财务评分']['存货周转率']
|
||||
aq_s = data_01['财务评分']['资产质量']['总资产周转率'] + data_01['财务评分']['资产质量']['应收账款周转率'] + data_01['财务评分']['资产质量']['存货周转率']
|
||||
if aq_s >= 18:
|
||||
result['part_02']['asset_quality'] = '好'
|
||||
elif aq_s >= 18 * 0.8:
|
||||
|
|
@ -1186,7 +1305,7 @@ def conclusion(param):
|
|||
else:
|
||||
result['part_02']['asset_quality'] = '差'
|
||||
# 债务风险得分
|
||||
dr_s = data_01['财务评分']['资产负债率'] + data_01['财务评分']['已获利息倍数'] + data_01['财务评分']['速动比率']
|
||||
dr_s = data_01['财务评分']['债务风险']['资产负债率'] + data_01['财务评分']['债务风险']['已获利息倍数'] + data_01['财务评分']['债务风险']['速动比率']
|
||||
if dr_s >= 18:
|
||||
result['part_02']['debt_risk'] = '高'
|
||||
elif dr_s >= 18 * 0.8:
|
||||
|
|
@ -1198,7 +1317,7 @@ def conclusion(param):
|
|||
else:
|
||||
result['part_02']['debt_risk'] = '低'
|
||||
# 成长空间得分
|
||||
gs_s = data_01['财务评分']['营业增长率'] + data_01['财务评分']['总资产增长率'] + data_01['财务评分']['技术投入比率']
|
||||
gs_s = data_01['财务评分']['经营增长']['营业增长率'] + data_01['财务评分']['经营增长']['总资产增长率'] + data_01['财务评分']['经营增长']['技术投入比率']
|
||||
if gs_s >= 18:
|
||||
result['part_02']['growth_ability'] = '大'
|
||||
elif gs_s >= 18 * 0.8:
|
||||
|
|
|
|||
Loading…
Reference in New Issue