'''

告警策略api服务

'''

import json

from web_apps import db

from utils.query_utils import get_base_query

from utils.auth import set_insert_user, set_update_user, get_auth_token_info

from utils.common_utils import gen_json_response, gen_uuid

from web_apps.alert.db_models import AlertStrategy

from utils.web_utils import validate_params

import pandas as pd

import io





def serialize_alert_strategy_model(obj, ser_type='list'):

    '''

    序列化模型数据

    :param obj:

    :param ser_type:

    :return:

    '''

    dic = obj.to_dict()

    if ser_type == 'list':

        res = {}

        for k in ['id', 'name', 'template_code', 'trigger_conf', 'forward_conf', 'status', 'create_by', 'create_time', 'update_by', 'update_time', 'del_flag', 'sort_no', 'description']:

            if k in ['trigger_conf', 'forward_conf']:

                res[k] = json.loads(dic[k])

            else:

                res[k] = dic[k]

        return res

    elif ser_type == 'detail':

        for k in ['trigger_conf', 'forward_conf']:

            dic[k] = json.loads(dic[k])

        for k in []:

            dic.pop(k)

    elif ser_type == 'all_list':

        res = {}

        for k in ['id', 'name', 'template_code']:

            if k in []:

                res[k] = json.loads(dic[k])

            else:

                res[k] = dic[k]

        return res

        

    return dic



    

class AlertStrategyApiService:



    @staticmethod

    def get_obj_list(req_dict):

        '''

        获取列表

        '''

        page = int(req_dict.get('page', 1))

        pagesize = int(req_dict.get('pagesize', 10))

        query = get_base_query(AlertStrategy)

        # 名称 查询逻辑

        name = req_dict.get('name', '')

        if name != '':

            query = query.filter(AlertStrategy.name.like("%" + name + "%"))

        # 策略模版 查询逻辑

        template_code = req_dict.get('template_code', '')

        if template_code != '':

            query = query.filter(AlertStrategy.template_code.like("%" + template_code + "%"))

        total = query.count()

        query = query.offset((page - 1) * pagesize)

        query = query.limit(pagesize)

        obj_list = query.all()

        result = []

        for obj in obj_list:

            dic = serialize_alert_strategy_model(obj, ser_type='list')

            result.append(dic)

        res_data = {

            'records': result,

            'total': total

        }

        return gen_json_response(data=res_data)



    @staticmethod

    def get_obj_all_list(req_dict):

        '''

        获取全量列表

        '''

        query = get_base_query(AlertStrategy)

        # 策略模版 查询逻辑

        template_code = req_dict.get('template_code', '')

        if template_code != '':

            query = query.filter(AlertStrategy.template_code.like("%" + template_code + "%"))

        obj_list = query.all()

        result = []

        for obj in obj_list:

            dic = serialize_alert_strategy_model(obj, ser_type='all_list')

            result.append(dic)

        return gen_json_response(data=result)



    @staticmethod

    def get_obj_detail(req_dict):

        '''

        获取详情

        '''

        obj_id = req_dict.get('id')

        obj = db.session.query(AlertStrategy).filter(

            AlertStrategy.id == obj_id,

            AlertStrategy.del_flag == 0).first()

        if not obj:

            return gen_json_response(code=400, msg='未找到数据')

        dic = serialize_alert_strategy_model(obj, ser_type='detail')

        return gen_json_response(data=dic)



    @staticmethod

    def add_obj(req_dict):

        '''

        添加

        '''

        

        obj = AlertStrategy()

        for key in req_dict:

            if key in ['trigger_conf', 'forward_conf']:

                setattr(obj, key, json.dumps(req_dict[key], ensure_ascii=False, indent=2))

            else:

                setattr(obj, key, req_dict[key])

        obj.id = gen_uuid(res_type='base')

        set_insert_user(obj)

        db.session.add(obj)

        db.session.commit()

        db.session.flush()

        return gen_json_response(msg='添加成功', extends={'success': True})



    @staticmethod

    def edit_obj(req_dict):

        '''

        编辑

        '''

        obj_id = req_dict.get('id')

        

        obj = db.session.query(AlertStrategy).filter(AlertStrategy.id == obj_id).first()

        if obj is None:

            return gen_json_response(code=400, msg='未找到数据')

        for key in req_dict:

            if key in ['trigger_conf', 'forward_conf']:

                setattr(obj, key, json.dumps(req_dict[key], ensure_ascii=False, indent=2))

            else:

                setattr(obj, key, req_dict[key])

        set_update_user(obj)

        db.session.add(obj)

        db.session.commit()

        db.session.flush()

        return gen_json_response(msg='编辑成功', extends={'success': True})



    @staticmethod

    def delete_obj(req_dict):

        '''

        删除

        '''

        obj_id = req_dict['id']

        del_obj = db.session.query(AlertStrategy).filter(AlertStrategy.id == obj_id).first()

        if del_obj is None:

            return gen_json_response(code=400, msg='未找到数据')

        del_obj.del_flag = 1

        set_update_user(del_obj)

        db.session.add(del_obj)

        db.session.commit()

        db.session.flush()

        return gen_json_response(code=200, msg='删除成功', extends={'success': True})



    @staticmethod

    def delete_batch(req_dict):

        '''

        批量删除

        '''

        del_ids = req_dict.get('ids')

        if isinstance(del_ids, str):

            del_ids = del_ids.split(',')

        del_objs = db.session.query(AlertStrategy).filter(AlertStrategy.id.in_(del_ids)).all()

        for del_obj in del_objs:

            del_obj.del_flag = 1

            set_update_user(del_obj)

            db.session.add(del_obj)

            db.session.commit()

            db.session.flush()

        return gen_json_response(code=200, msg='删除成功', extends={'success': True})



    @staticmethod

    def importExcel(file):

        '''

        excel导入

        '''

        try:

            df = pd.read_excel(file, dtype=object)

            df.fillna("", inplace=True)

            # 校验上传字段

            data_li = []

            n = 2

            for k, row in df.iterrows():

                row = row.to_dict()

                verify_dict = {

                }

                not_valid = validate_params(row, verify_dict)

                if not_valid:

                    not_valid = {

                        'code': 400,

                        'msg': f'第{n}{not_valid}'

                    }

                    return not_valid

                data_li.append(row)

                n += 1

            

            # 循环导入

            for row in data_li:

                obj = AlertStrategy()

                for key in row:

                    if key in []:

                        setattr(obj, key, json.dumps(row[key], ensure_ascii=False, indent=2))

                    else:

                        setattr(obj, key, row[key])

                obj.id = gen_uuid(res_type='base')

                set_insert_user(obj)

                db.session.add(obj)

                db.session.commit()

                db.session.flush()

            return gen_json_response(code=200, msg='导入成功', extends={'success': True})

        except Exception as e:

            return gen_json_response(code=500, msg=f'导入错误{e}')



    @staticmethod

    def exportXls(req_dict):

        '''

        导出excel

        '''

        selections = req_dict.get('selections', '')

        ids = selections.split(',')

        obj_list = db.session.query(AlertStrategy).filter(AlertStrategy.id.in_(ids)).all()

        result = []

        for obj in obj_list:

            dic = serialize_alert_strategy_model(obj, ser_type='export')

            result.append(dic)

        df = pd.DataFrame(result)

        print(df)

        # 使用字节流存储

        output = io.BytesIO()

        # 保存文件

        df.to_excel(output, index=False)

        # 文件seek位置,从头(0)开始

        output.seek(0)

        return output