import time

import pandas as pd

from ...base.AlgoService import AlgoService
from ...impl.DBHbase import DBHbase


# 计算hash值
class GetHashCode:
    def convert_n_bytes(self, n, b):
        bits = b * 8
        return (n + 2 ** (bits - 1)) % 2 ** bits - 2 ** (bits - 1)

    def convert_4_bytes(self, n):
        return self.convert_n_bytes(n, 4)

    @classmethod
    def getHashCode(cls, s):
        h = 0
        n = len(s)
        for i, c in enumerate(s):
            h = h + ord(c) * 31 ** (n - 1 - i)
        return cls().convert_4_bytes(h)
    

class HzAlgoService():
    
    def __init__(self,hbase_params:dict, mysql_params:dict = None, type=1):
        if type == 1:
            # 项目内部调用
            self._init__(hbase_params, mysql_params)
        else:
            # 外部调用，只使用内部的部分功能
            pass
    
    def _init__(self, hbase_params:dict, mysql_params:dict = None):
        hbase_params.update({"is_lindorm":1,"pagesize":300000})
        self.dbhbase = DBHbase(hbase_params)
        self.dbhbase.connect_lindorm(hbase_params['db'])
        self.mysql_params = mysql_params
        # self.batterystatus_parser = BatteryStatus_pb2.DataPackage()
        # self.gps_parser = GPS_pb2.DataPackage()
    
    def __enter__(self):
        return self
    def __exit__(self, *exc_info):
        self.close()
    
    def _check_param(self, sn_list, vin_list, start_time, end_time, columns=[]):
        if sn_list and vin_list:
            raise Exception("不能同时指定sn和vin进行查询")
        if not isinstance(sn_list, list) or not isinstance(vin_list, list) or not isinstance(columns, list):
            raise Exception("sn 和 vin 和columns 必须为列表")
        if not sn_list and not vin_list:
            raise Exception("未指定sn或vin")
        if not start_time or not end_time:
            raise Exception("未指定时间段")
        
        st = int(time.mktime(time.strptime(start_time, '%Y-%m-%d %H:%M:%S')) )
        et = int(time.mktime(time.strptime(end_time, '%Y-%m-%d %H:%M:%S')) )
        if st > int(time.time()) or et > int(time.time()):
            raise Exception("查询时间超出现实时间")
        
        if len(sn_list) > 5000 or len(vin_list) > 5000:
            raise Exception("单次查询的sn或vin码过多")
        return st, et
                
       
    
    def get_original_hz_algo_data(self, table, sn="", vin="", start_time:str="", end_time: str="") -> pd.DataFrame:
        
        
         # 获取列名
        sql_select = "desc {}".format(table)
        # print(sql_select)
        self.dbhbase.cursor.execute(sql_select)
        column_rows = self.dbhbase.cursor.fetchall()
        df_column_rows = pd.DataFrame(columns=['TABLE_SCHEMA', 'TABLE_NAME','COLUMN_NAME','TYPE','IS_PRIMARY_KEY','SORT_ORDER'], data=column_rows)
        columns = []
        for r in column_rows:
            columns.append(r[2])
        sel_columns = columns  
        # 获取数据
        MAX_LONG = 9223372036854775807
        # 参数起始时间，结束时间，vin
        st = int(time.mktime(time.strptime(start_time, '%Y-%m-%d %H:%M:%S')) * 1000)
        et = int(time.mktime(time.strptime(end_time, '%Y-%m-%d %H:%M:%S')) * 1000)

        # 判断基于vin还是sn
        if len(vin) > 0:
            prefix = str(abs(GetHashCode.getHashCode(vin)))+"_"+vin+"_"
        else:
            prefix = str(abs(GetHashCode.getHashCode(sn)))+"_"+sn+"_"
        start_rows = prefix + str(MAX_LONG-et)
        end_rows = prefix + str(MAX_LONG-st)
        id_field = "id"

        # 列名拼接
        columns_str = ""
        for column in sel_columns:
            columns_str = columns_str + column + ','
        columns_str = columns_str[0:-1]
        sql_select = "select {} from {} where {} > '{}' and {} <= '{}'".format(columns_str, table, id_field,
                                                                               start_rows, id_field, end_rows)
        # print(sql_select)
        data_rows = self.dbhbase.page_query(sql_select)
        return df_column_rows, data_rows
    
    def get_original_hz_dwads_data(self, table, dt_start:str="", dt_end: str="") -> pd.DataFrame:
        
        
         # 获取列名
        sql_select = "desc {}".format(table)
        # print(sql_select)
        self.dbhbase.cursor.execute(sql_select)
        column_rows = self.dbhbase.cursor.fetchall()
        df_column_rows = pd.DataFrame(columns=['TABLE_SCHEMA', 'TABLE_NAME','COLUMN_NAME','TYPE','IS_PRIMARY_KEY','SORT_ORDER'], data=column_rows)
        columns = []
        for r in column_rows:
            columns.append(r[2])
        sel_columns = columns  
        id_field = "dt"

        # 列名拼接
        columns_str = ""
        for column in sel_columns:
            columns_str = columns_str + column + ','
        columns_str = columns_str[0:-1]
        sql_select = "select {} from {} where {} >= '{}' and {} <= '{}'".format(columns_str, table, id_field,
                                                                               dt_start, id_field, dt_end)
        # print(sql_select)
        self.dbhbase.cursor.execute(sql_select)
        data_rows = self.dbhbase.cursor.fetchall()
        # data_rows = self.dbhbase.page_query(sql_select)
        return df_column_rows, data_rows
        
        
    def close(self):
        self.dbhbase.close()