tfse-model-api-v0.2/Esg/scripts/social.py

import operator


def social_rating(param):
    """
    社会部分打分
    Parameters:
        param dict 填报问卷
    Returns:
        score float 社会部分得分
    """
    result = dict()
    result['离职人数占比'] = calculation_01(param)
    result['人均薪酬涨幅'] = calculation_02(param)
    result['劳动合同中的工作时长（周）'] = calculation_03(param)
    result['劳动纠纷'] = calculation_04(param)
    result['安全事故'] = calculation_05(param)
    result['提供培训'] = calculation_06(param)
    result['社保缴纳是否符合当地标准'] = calculation_07(param)
    result['公积金缴纳是否符合当地标准'] = calculation_08(param)
    result['是否提供员工体检'] = calculation_09(param)
    result['是否提供带薪假期'] = calculation_10(param)
    result['公司从前三大供货商拿货占比'] = calculation_11(param)
    result['公司前3大客户销量占比'] = calculation_12(param)
    result['公司返修、退回、投诉产品比例（%）'] = calculation_13(param)
    result['扶贫+捐赠规模（万元）'] = calculation_14(param)
    result['司法风险'] = calculation_15(param)

    fraction = list()

    if result['司法风险'] == 'S=0':
        score = 0
    else:
        for key, value in result.items():
            if key == '司法风险':
                continue
            else:
                fraction.append(value)

        score = sum(fraction)

    result['合计'] = score

    return result


def calculation_01(param):
    """
    离职人数占比
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    try:
        year_begin = round(three_year_data[0]['当年离职人数'] / three_year_data[0]['员工总数（年底）'], 2)
        year_middle = round(three_year_data[1]['当年离职人数'] / three_year_data[1]['员工总数（年底）'], 2)
        year_end = round(three_year_data[2]['当年离职人数'] / three_year_data[2]['员工总数（年底）'], 2)

        factor_01 = (year_begin + year_middle + year_end) / 3 * 100 <= 20
        factor_02 = 20 < (year_begin + year_middle + year_end) / 3 * 100 <= 30

        if factor_01:
            score = 5
        elif factor_02:
            score = 2
        else:
            score = 0
    except ZeroDivisionError:
        score = 0

    return score


def calculation_02(param):
    """
    人均薪酬涨幅
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    try:
        year_begin = three_year_data[0]['人均薪酬水平（元/月）']
        year_end = three_year_data[2]['人均薪酬水平（元/月）']

        factor = (year_end / year_begin) ** (1 / 2) - 1 >= 0.03

        if factor:
            score = 2
        else:
            score = 0
    except ZeroDivisionError:
        score = 0

    return score


def calculation_03(param):
    """
    劳动合同中的工作时长（周）
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    year_begin = three_year_data[0]['劳动合同要求工作时长（每周小时数）']
    year_middle = three_year_data[1]['劳动合同要求工作时长（每周小时数）']
    year_end = three_year_data[2]['劳动合同要求工作时长（每周小时数）']

    factor = (year_end + year_middle + year_begin) / 3 <= 45

    if factor:
        score = 4
    else:
        score = 0

    return score


def calculation_04(param):
    """
    劳动纠纷
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    year_begin = three_year_data[0]['劳资纠纷次数']
    year_middle = three_year_data[1]['劳资纠纷次数']
    year_end = three_year_data[2]['劳资纠纷次数']

    factor = (year_end + year_middle + year_begin) <= 0

    if factor:
        score = 3
    else:
        score = 0

    return score


def calculation_05(param):
    """
    安全事故
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    year_begin = three_year_data[0]['安全事故发生次数']
    year_middle = three_year_data[1]['安全事故发生次数']
    year_end = three_year_data[2]['安全事故发生次数']

    factor = (year_end + year_middle + year_begin) <= 0

    if factor:
        score = 3
    else:
        score = 0

    return score


def calculation_06(param):
    """
    提供培训
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    year_begin = three_year_data[0]['组织培训次数']
    year_middle = three_year_data[1]['组织培训次数']
    year_end = three_year_data[2]['组织培训次数']

    factor_01 = (year_end + year_middle + year_begin) >= 4
    factor_02 = (year_end + year_middle + year_begin) >= 1

    if factor_01:
        score = 5
    elif factor_02:
        score = 2
    else:
        score = 0

    return score


def calculation_07(param):
    """
    社保缴纳是否符合当地标准
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    anwser = param['社会问卷']['其他类型问卷'][0]

    if anwser == 'A':
        score = 1
    else:
        score = 0

    return score


def calculation_08(param):
    """
    公积金缴纳是否符合当地标准
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    anwser = param['社会问卷']['其他类型问卷'][1]

    if anwser == 'A':
        score = 1
    else:
        score = 0

    return score


def calculation_09(param):
    """
    是否提供员工体检
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    anwser = param['社会问卷']['其他类型问卷'][2]

    if anwser == 'A':
        score = 1
    else:
        score = 0

    return score


def calculation_10(param):
    """
    是否提供带薪假期
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    anwser = param['社会问卷']['其他类型问卷'][3]

    if anwser == 'A':
        score = 1
    else:
        score = 0

    return score


def calculation_11(param):
    """
    公司从前三大供货商拿货占比
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    year_begin = three_year_data[0]['公司从前3大供应商拿货占全部供应商比例（%）']
    year_end = three_year_data[2]['公司从前3大供应商拿货占全部供应商比例（%）']

    factor = year_begin >= year_end

    if factor:
        score = 1
    else:
        score = 0

    return score


def calculation_12(param):
    """
    公司前3大客户销量占比
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    year_begin = three_year_data[0]['公司前3大客户销售额占全部销售比例（%）']
    year_end = three_year_data[2]['公司前3大客户销售额占全部销售比例（%）']

    factor = year_begin >= year_end

    if factor:
        score = 1
    else:
        score = 0

    return score


def calculation_13(param):
    """
    公司返修、退回、投诉产品比例（%）
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    year_end = three_year_data[0]['返修、退回、投诉产品对应销售额占全部销售比例（%）']
    year_begin = three_year_data[2]['返修、退回、投诉产品对应销售额占全部销售比例（%）']

    factor = year_begin >= year_end

    if factor:
        score = 1
    else:
        score = 0

    return score


def calculation_14(param):
    """
    扶贫+捐赠规模（万元）
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    # Parameter
    three_year_data = sorted(param['社会问卷']['近三年公司数据'], key=operator.itemgetter('年份'), reverse=False)

    year_begin = three_year_data[0]['扶贫+捐赠规模（万元）']
    year_middle = three_year_data[1]['扶贫+捐赠规模（万元）']
    year_end = three_year_data[2]['扶贫+捐赠规模（万元）']

    factor_01 = (year_end + year_middle + year_begin) > 0

    if factor_01:
        score = 5
    else:
        score = 0

    return score


def calculation_15(param):
    """
    司法风险
    Parameters:
        param dict 填报问卷
    Returns:
        score int 得分
    """
    risk = param['风险数据']
    score = None
    for value in risk.values():
        if value > 0:
            score = 'S=0'
            break
        else:
            score = 0

    return score