354 lines
8.5 KiB
Python
354 lines
8.5 KiB
Python
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from common.scripts import read_json_file
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def social_rating(param):
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"""
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社会部分打分
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Parameters:
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param dict 填报问卷
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Returns:
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score float 社会部分得分
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"""
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fraction = list()
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if calculation_15(param) == 'S=0':
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score = 0
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else:
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fraction.append(calculation_01(param))
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fraction.append(calculation_02(param))
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fraction.append(calculation_03(param))
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fraction.append(calculation_04(param))
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fraction.append(calculation_05(param))
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fraction.append(calculation_06(param))
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fraction.append(calculation_07(param))
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fraction.append(calculation_08(param))
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fraction.append(calculation_09(param))
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fraction.append(calculation_10(param))
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fraction.append(calculation_11(param))
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fraction.append(calculation_12(param))
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fraction.append(calculation_13(param))
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fraction.append(calculation_14(param))
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score = sum(fraction)
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return score
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def calculation_01(param):
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"""
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离职人数占比
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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social_data = param['社会问卷']['近三年公司数据']
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year_2020 = round(social_data[0]['当年离职人数'] / social_data[0]['员工总数'], 2)
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year_2019 = round(social_data[1]['当年离职人数'] / social_data[1]['员工总数'], 2)
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year_2018 = round(social_data[2]['当年离职人数'] / social_data[2]['员工总数'], 2)
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factor_01 = (year_2018 + year_2019 + year_2020)/3*100 <= 20
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factor_02 = 20 < (year_2018 + year_2019 + year_2020)/3*100 <= 30
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if factor_01:
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score = 5
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elif factor_02:
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score = 2
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else:
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score = 0
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return score
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def calculation_02(param):
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"""
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人均薪酬涨幅
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['人均薪酬水平（元/月）']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['人均薪酬水平（元/月）']
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factor = (year_2020/year_2018)**(1/2) - 1 >= 0.03
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if factor:
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score = 2
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else:
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score = 0
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return score
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def calculation_03(param):
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"""
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劳动合同中的工作时长（周）
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['劳动合同要求工作时长（每周小时数）']
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year_2019 = param['社会问卷']['近三年公司数据'][1]['劳动合同要求工作时长（每周小时数）']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['劳动合同要求工作时长（每周小时数）']
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factor = (year_2020 + year_2019 + year_2018) / 3 <= 45
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if factor:
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score = 4
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else:
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score = 0
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return score
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def calculation_04(param):
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"""
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劳动纠纷
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['劳资纠纷次数']
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year_2019 = param['社会问卷']['近三年公司数据'][1]['劳资纠纷次数']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['劳资纠纷次数']
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factor = (year_2020 + year_2019 + year_2018) <= 0
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if factor:
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score = 3
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else:
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score = 0
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return score
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def calculation_05(param):
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"""
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安全事故
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['安全事故发生次数']
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year_2019 = param['社会问卷']['近三年公司数据'][1]['安全事故发生次数']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['安全事故发生次数']
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factor = (year_2020 + year_2019 + year_2018) <= 0
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if factor:
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score = 3
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else:
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score = 0
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return score
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def calculation_06(param):
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"""
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提供培训
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['组织培训次数']
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year_2019 = param['社会问卷']['近三年公司数据'][1]['组织培训次数']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['组织培训次数']
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factor_01 = (year_2020 + year_2019 + year_2018) >= 4
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factor_02 = (year_2020 + year_2019 + year_2018) >= 1
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if factor_01:
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score = 5
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elif factor_02:
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score = 2
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else:
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score = 0
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return score
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def calculation_07(param):
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"""
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社保缴纳是否符合当地标准
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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anwser = param['社会问卷']['其他类型问卷'][0]
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if anwser == '是':
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score = 1
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else:
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score = 0
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return score
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def calculation_08(param):
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"""
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公积金缴纳是否符合当地标准
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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anwser = param['社会问卷']['其他类型问卷'][1]
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if anwser == '是':
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score = 1
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else:
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score = 0
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return score
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def calculation_09(param):
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"""
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是否提供员工体检
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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anwser = param['社会问卷']['其他类型问卷'][2]
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if anwser == '是':
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score = 1
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else:
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score = 0
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return score
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def calculation_10(param):
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"""
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是否提供带薪假期
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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anwser = param['社会问卷']['其他类型问卷'][3]
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if anwser == '是':
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score = 1
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else:
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score = 0
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return score
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def calculation_11(param):
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"""
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公司从前三大供货商拿货占比
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['公司从前3大供应商拿货占全部供应商比例（%）']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['公司从前3大供应商拿货占全部供应商比例（%）']
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factor = year_2018 >= year_2020
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if factor:
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score = 1
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else:
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score = 0
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return score
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def calculation_12(param):
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"""
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公司前3大客户销量占比
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['公司前3大客户销售额占全部销售比例（%）']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['公司前3大客户销售额占全部销售比例（%）']
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factor = year_2018 >= year_2020
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if factor:
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score = 1
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else:
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score = 0
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return score
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def calculation_13(param):
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"""
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公司返修、退回、投诉产品比例（%）
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['返修、退回、投诉产品对应销售额占全部销售比例（%）']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['返修、退回、投诉产品对应销售额占全部销售比例（%）']
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factor = year_2018 >= year_2020
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if factor:
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score = 1
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else:
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score = 0
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return score
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def calculation_14(param):
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"""
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扶贫+捐赠规模（万元）
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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year_2020 = param['社会问卷']['近三年公司数据'][0]['扶贫+捐赠规模（万元）']
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year_2019 = param['社会问卷']['近三年公司数据'][1]['扶贫+捐赠规模（万元）']
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year_2018 = param['社会问卷']['近三年公司数据'][2]['扶贫+捐赠规模（万元）']
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factor_01 = (year_2020 + year_2019 + year_2018) > 0
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if factor_01:
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score = 5
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else:
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score = 0
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return score
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def calculation_15(param):
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"""
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司法风险
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Parameters:
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param dict 填报问卷
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Returns:
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score int 得分
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"""
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risk = param['风险数据']
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score = None
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for value in risk.values():
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if value > 0:
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score = 'S=0'
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break
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else:
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score = 0
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return score
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if __name__ == '__main__':
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data = read_json_file('/Esg/static/template_data.json')
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S_score = social_rating(data)
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print(S_score)
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