import pandas as pd

class ConfigInfo:
    def __init__(self,config) -> None:
        self.config   = config
        self.n_input  = len(self.get_io_id('in'))
        self.n_output = len(self.get_io_id('out'))
    
    def get_io_id(self,io = 'in') -> list:
        if io == 'in':
            io_key = '_PORTS_IN'
        elif io == 'out':
            io_key = '_PORTS_OUT'
        else:
            raise Exception('WRONG io')
        
        input_id = [point['point_id'] for point in self.config[io_key]]
        
        return input_id
    
    def get_io_group_info(self,io='in',type:str='data',data:list=None) -> dict:
        if io == 'in':
            io_key = '_PORTS_IN_GROUP'
        elif io == 'out':
            io_key = '_PORTS_OUT_GROUP'
        
        group_info = {}
        for group in self.config[io_key]:
            name           = group['name']
            start_idx      = group['start']
            end_idx        = group['end']
            
            if type == 'data':
                # group_info = {'G1':[DF1,DF2], 'G2':[DF3,DF4]}
                if data is None:
                    raise Exception('当type为data时,必须输入data参数')
                info = data[start_idx:end_idx]
            
            elif type == 'point_id':
                # group_info = {'G1':[point_1,point_2],'G2':[point_3,point_4]}
                point_id = self.get_io_id(io=io)
                info     = point_id[start_idx:end_idx]
            
            else:
                raise Exception('WRONG type')
            
            group_info[name] = info
        
        return group_info
    
    def rename_df(self,dfs:list,io='in') -> list:
        
        result = []
        point_id = self.get_io_id(io=io)
        
        if len(dfs) != len(point_id):
            raise Exception(f'数据长度有误,point_id:{point_id},dfs:{dfs}')
        
        for p,df in zip(point_id,dfs):
            if not isinstance(df,pd.DataFrame) or not isinstance(p,str):
                result.append(df)
            else:
                result.append(
                    df.iloc[:,[0]].set_axis([p],axis=1)
                )
        
        return result
    
    def split_df_by_groupinfo(
        self,
        data_map:dict,
        allow_data_map_is_subset:bool  = False,
        allow_data_map_miss_group:list = None
    ) -> list:
        """
        根据组件配置的输出分组和桩，将数据输出

        Parameters
        ----------
        data_map : dict
            分组名称及对应的数据 {分组1:DataFrame, 分组2:{桩A:Float,桩B:Bool}}

        Returns
        -------
        list
            数据列表

        Raises
        ------
        Exception
            分组名称超出了限定的范围
        Exception
            桩名称超出了限定的范围
        """
        output_groupinfo = self.get_io_group_info('out',type='point_id')
        
        split_data = []
        
        for group_name,points in output_groupinfo.items():
            data = data_map.get(group_name)
            
            if data is None:
                if isinstance(allow_data_map_miss_group,list) and group_name in allow_data_map_miss_group:
                    continue
                elif not allow_data_map_is_subset:
                    raise Exception(f'组件输出的分组名称{group_name}有误，分组：{list(data_map.keys())}')
                else:
                    continue
            
            for p in points:
                
                if isinstance(data,pd.DataFrame):
                    if p not in data.columns:
                        raise Exception(f'组件输出的桩名称有误，未找到{p},桩：{data.columns.to_list()}')
                    p_data = data.loc[:,[p]]
                
                elif isinstance(data,dict):
                    if p not in data.keys():
                        raise Exception(f'组件输出的桩名称有误，未找到{p},桩：{list(data.keys())}')
                    p_data = data[p]
                    
                split_data.append(p_data)
        
        return split_data
            
    
    def split_df(self,method:str,df:pd.DataFrame,by_group=None) -> list:
        
        if by_group is not None:
            output_point_id = self.get_io_group_info(io='out',type='point_id')[by_group]
            output_n = len(output_point_id)
        else:
            output_point_id = self.get_io_id(io='out')
            output_n = self.n_output
        
        df_list = []
        
        if method == 'idx':
            
            if df.shape[1] != output_n:
                raise Exception(f'输出数据的个数不等于原数据中的列数，以下是原数据中包含的列：{df.columns.to_list()}')
            
            for idx in range(output_n):
                df_list.append(df.iloc[:,[idx]])    
            
        elif method == 'id':
            for point_id in output_point_id:
                if point_id not in df.columns:
                    raise Exception(f'数据中没有{point_id}，以下是数据中包含的列：{df.columns.to_list()}')
                df_list.append(df.loc[:,[point_id]])
        
        return df_list
    
    def get_property(self,key:str,default=None):
        # 获取组件配置的属性
        if key not in self.config.keys():
            return default
        
        property = self.config[key]
        if property is None or property == '':
            return default
        
        return property
    
    def check_property_exist(self,property_name:dict):
        for param,param_name in property_name.items():
            try:
                self.config[param]
            except:
                raise Exception(f'组件缺少自定义参数：{param_name}')
    
    def check_io_equal(self):
        input_id = self.get_io_id('in')
        output_id = self.get_io_id('out')
        is_equal = input_id == output_id
        return is_equal
    
    
if __name__ == '__main__':
    #############################
    config = {
        '_PORTS_IN': [], 
        '_PORTS_OUT': 
            [
                {'cols': [{'type': 'date', 'title': '时间'}, {'type': 'float', 'title': ''}], 'name': '','type': 'DF','static': True, 'point_id': 'a'}, 
                {'cols': [{'type': 'date', 'title': '时间'}, {'type': 'float', 'title': 'P_ND2_Tdb'}], 'name': 'ND2_室外温度', 'type': 'DF', 'static': True, 'point_id': 'b'}, 
                {'cols': [{'type': 'date', 'title': '时间'}, {'type': 'float', 'title': ''}], 'name': '','point_id': 'c'}, 
                {'cols': [{'type': 'date', 'title': '时间'}, {'type': 'float', 'title': ''}], 'name': '', 'point_id': 'd'}
            ], 
        '_PORTS_IN_GROUP': [],
        '_PORTS_OUT_GROUP': 
            [
                {'id': '1696909849014', 'end': 2, 'name': 'X', 'start': 0, 'static': True}, 
                {'id': '1696909849434', 'end': 4, 'name': 'Y', 'start': 2, 'static': True}
            ], 
            '_CODE'       : None,
            '_DEVICE_CODE': None
    }
    config_info = ConfigInfo(config)
    
    df1 = pd.DataFrame({'a':[1,2,3],'b':[4,5,6]})
    df2 = pd.DataFrame({'c':[7,8,9],'d':[10,11,12]})
    
    res1 = config_info.split_df_by_groupinfo(df_map= {'X':df1,'Y':df2})
    print('res1',res1)
    
    ###########################
    config = {
        '_PORTS_OUT': [], 
        '_PORTS_IN': 
            [
                {'point_id': 'a'}, 
                {'point_id': 'b'}, 
            ], 
        '_PORTS_IN_GROUP': [],
        '_PORTS_OUT_GROUP': 
            [
            ], 
            '_CODE'       : None,
            '_DEVICE_CODE': None
    }
    df1 = pd.DataFrame({'x':[1,2,3]})
    df2 = pd.DataFrame({'y':[1,2,3]})
    config_info = ConfigInfo(config)
    res2 = config_info.rename_df([df1,df2])
    print('res2',res2)