async def customer_count(ns={}):
    """
    计算不同月份客户量
    :param ns:
    :return:
    """
    return {"a": 1}


async def operate_kpi(ns={}):
    """
    运营kpi
    入参: 本机构id
    出参: 每个字段对应数组
    客户数（总量，同比，环比）

    销售额（总量，同比，环比）

    利润分析（总额，同比，环比）

    分销商数（总量，同比，环比）

    供应商数（总量，同比，环比）

    :param ns:
    :return:
    """
    orgid = ns.get('orgid')
    db = DBPools()
    async with db.sqlorContext('kboss') as sor:
        try:
            # 今年12个月客户量
            current_year = time.localtime().tm_year
            current_year_customer_number = await customer_count({'orgid': orgid, 'current_year': current_year, 'sor': sor})
            # 去年12个月客户量
            last_year_customer_num = await customer_count({'orgid': orgid, 'current_year': current_year - 1, 'sor': sor})
            # 生成日期
            date_m =  list(pandas.date_range('1/2022', periods=24, freq='M'))
            last_year_customer_num.extend(current_year_customer_number)
            # customer_num = last_year_customer_num
            customer_num = [random.randint(30, 80) for i in range(0, 24)]
            #customer_num = [36, 46, 56, 55, 50, 60, 43, 54, 78, 60, 67, 39, 73, 42, 53, 62, 38, 47, 73, 78, 75, 36, 44, 30]
            # 构建一个dataframe
            data = pandas.DataFrame({'date_m': date_m, 'customer_num': customer_num})
            data['huanbi'] = data.customer_num.pct_change()
            # 填充
            data.fillna(0, inplace=True)
            data['tongbi'] = data.customer_num.diff(12)  # 按月同比，12正好是12个月。
            data['tongbi_01'] = data['tongbi'] / (data['customer_num'] - data['tongbi'])
            data.fillna(0, inplace=True)
            data_filter = data[12:]
            customer_filter = {
                'number': list(data_filter['customer_num']),
                'date': [str(item) for item in data_filter['date_m'].values.astype("datetime64[D]")],
                'tongbi': list(data_filter['tongbi_01']),
                'huanbi': list(data_filter['huanbi']),
            }
            return {
                "status": True,
                "msg": "kpi get success",
                "data": {
                    'customer': customer_filter
                }
            }
        except Exception as e:
            raise e
    return {
        "status": False,
        "msg": "kpi search failed"
    }

ret = await operate_kpi(params_kw)
return ret