2021-11-15 04:07:20 +08:00
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import copy
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import pandas as pd
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2021-11-15 15:36:26 +08:00
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from lib.Indicators import *
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2021-11-15 04:07:20 +08:00
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class RatingModel:
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"""
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"""
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def __init__(self, param):
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# 所属行业
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2021-11-17 04:50:21 +08:00
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self.industry = param['行业']
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# 评价期间
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self.period = param['评价期间']
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2021-11-15 15:36:26 +08:00
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# 数据模板 data_model
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2021-11-17 04:50:21 +08:00
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self.data_model = param['数据模板']
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2021-11-15 04:07:20 +08:00
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# 指标结果（财务）
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2021-11-17 04:50:21 +08:00
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self.indicators = self.financial_elements()
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# 指标百分比
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self.percentages = ''
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# 指标评分结果
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self.ratings = ''
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def business_elements(self):
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"""
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经营要素
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"""
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pass
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def financial_elements(self):
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"""
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财务要素
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"""
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ele = dict()
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2021-11-15 15:36:26 +08:00
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dm = self.data_model['财务数据']
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b, e = self.period['上期'], self.period['当期']
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ele['净资产收益率'] = roe(dm[e]['净利润'], dm[e]['所有者权益合计'], dm[b]['所有者权益合计'])
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ele['总资产报酬率'] = roa(dm[e]['利润总额'], dm[e]['计入财务费的利息支出'], dm[e]['资产总计'], dm[b]['资产总计'])
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ele['总资产周转率'] = tat(dm[e]['营业收入'], dm[e]['资产总计'], dm[b]['资产总计'])
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ele['应收账款周速度'] = acrt(dm[e]['营业收入'], dm[e]['应收账款'])
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ele['存货周转率'] = ivtt(dm[e]['营业成本'], dm[e]['存货'], dm[b]['存货'])
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ele['资产负债率'] = dbar(dm[e]['负债合计'], dm[e]['资产总计'])
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ele['已获利息倍数'] = icm(dm[e]['利润总额'], dm[e]['计入财务费的利息支出'], dm[e]['资本化利息支出'], dm[e]['短期借款'], dm[e]['长期借款'])
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ele['速动比率'] = qkr(dm[e]['流动资产合计'], dm[e]['存货'], dm[e]['流动负债合计'])
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ele['营业增长率'] = bgr(dm[e]['营业收入'], dm[b]['营业收入'])
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ele['总资产增长率'] = tagr(dm[e]['资产总计'], dm[b]['资产总计'])
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ele['技术投入比率'] = tio(dm[e]['研发费用'], dm[e]['营业收入'])
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return ele
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2021-11-15 04:07:20 +08:00
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def risk_elements(self):
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"""
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风险要素
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"""
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pass
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2021-11-15 15:36:26 +08:00
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def req_percent(self):
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"""
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计算指标百分比
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"""
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self.business_elements()
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self.risk_elements()
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def req_rating(self):
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"""
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计算评级结果
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2021-11-17 04:50:21 +08:00
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"""
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pass
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if __name__ == '__main__':
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import json
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with open("../static/test_data/demo01.json", "r", encoding="utf-8") as f:
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data = json.load(f)
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RatingModel(data)
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