示例#1
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def insert_col_sql(config, table_name, col_name):
    conn = sql.create_connection(config)
    if (sql.table_exists(conn, table_name)) == 1:
        print('the table is existe.')
        sql_cmd = "alter table %s add column %s Integer" % (table_name,
                                                            col_name)
        sql.exe_update(conn, sql_cmd)
示例#2
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def preprocess_package_data(config, bat_list, starttime, endtime):
    """
    从数据库中读取原始数据,再按id分别进行处理
    放入data_dict中
    """
    conn = sql.create_connection(config)
    data_dict = {}
    for bat_id in bat_list:
        start = time.time()
        if (sql.table_exists(conn, bat_id) != 1):
            print("There isn't a table named %s." % bat_id)
            continue
        sql_cmd = "select * from %s where save_time between " \
                "'%s' and '%s'" % (bat_id, starttime, endtime)
        cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
        print('Reading the database...')
        cursor.execute(sql_cmd)
        #temp = cursor.fetchall()
        rowcount = cursor.rowcount
        if rowcount == 0:
            print("There is no data in table named %s." % bat_id)
            continue
        df0 = pd.DataFrame(cursor.fetchall())
        print('Finishing reading the database, and the rows of data is %d.' %
              rowcount)
        df0 = process_data(df0, 'sv', 'st')
        data_dict[bat_id] = df0
        end = time.time()
        print('The process of preprocessing the %s is complete, whick takes %d '\
              'secondes.' %(bat_id, (end-start)))
    return data_dict
示例#3
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def insert_data_sql(data, config, table_name, *col):
    if data.empty != True:
        print('Inserting the data into the sql...')
        col = list(col)
        conn = sql.create_connection(config)
        if (sql.table_exists(conn, table_name) != 1):
            sql_cmd = "CREATE TABLE IF NOT EXISTS `%s`(\
                       `sys_id` VARCHAR(100) NOT NULL,\
                       `vin` VARCHAR(40) NOT NULL,\
                       PRIMARY KEY ( `sys_id` )\
                       )" % (table_name)
            sql.create_table(conn, sql_cmd, table_name)

        value = data[col]
        cols = ''
        for c in col:
            cols += c
            cols += ', '
        cols = cols[:-2]
        for i in range(len(value)):
            ds = value.iloc[i].tolist()
            vs = ''
            for d in ds:
                vs += "'" + str(d) + "'"
                vs += ', '
            vs = vs[:-2]
            sql_cmd = "INSERT INTO %s (%s) VALUES (%s)" % (table_name, cols,
                                                           vs)
            print('sql_cmd:' + sql_cmd)
            sql.exe_update(conn, sql_cmd)
示例#4
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def read_bat_info(config, *kwg):
    """
    读取电池基本信息
    """
    conn = sql.create_connection(config)
    cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
    rows = {}
    for table_name in kwg:
        if 'bat_info' in table_name:
            query = 'sys_id, code, c_id '
        sql_cmd = 'select ' + query + 'from %s' % table_name
        cursor.execute(sql_cmd)
        rows[table_name] = pd.DataFrame(cursor.fetchall())
        rowcount = cursor.rowcount
        print(rowcount)
    bat_list = rows['bat_info'][['sys_id', 'code', 'c_id']]
    cursor.close()
    sql.close_connection(conn)
    return bat_list
示例#5
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def input_table_name(config):
    """
    通过键盘获得要检索的数据库的表名
    可以是表名前面的关键字
    """
    conn = sql.create_connection(config)
    exist_table_list = sql.get_table_list(conn)
    table_name_list = input("please input the keyword of selected tables:")
    table_name_list = table_name_list.split()
    match_table_list = []
    print('get the match table:\n')
    for table_name in table_name_list:
        for exist_table in exist_table_list:
            if re.match(table_name, exist_table, re.I):
                match_table_list.append(exist_table)
    match_table_list = list(set(match_table_list))
    if len(match_table_list) == 0:
        print('no match table.')
        return None
    for table_name in match_table_list:
        print(':%s\n' % table_name)
    return match_table_list
示例#6
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def match_sql_data(config, table_name, condition, str_value, limit=None):
    """
    获得指定条件的数据,类型为字符串
    """
    print('reading a table named %s...' % table_name)
    conn = sql.create_connection(config)
    if (sql.table_exists(conn, table_name)) == 1:
        print('the table is existe and reading...')
        sql_cmd = "select * from %s where %s = '%s'"\
                        %(table_name, condition, str_value)
        len_limit = sql.get_data_count(conn, sql_cmd)
        if limit != None:
            #sql_cmd += ' limit %d'%limit
            len_limit = min(limit, len_limit)  #获得查询条数限制值
        rows = sql.read_sql_bar(conn, sql_cmd, len_limit)
        df = pd.DataFrame(rows)
        if len(df) > 0:
            return df
        else:
            print('there is no data match the condition.')
            return None
    else:
        print('the table is not exist.')
        return None
示例#7
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def modify_data_sql(config, table_name, col_name, value):
    conn = sql.create_connection(config)
    sql_cmd = "update %s set %s='%d'" % (table_name, col_name, value)
    print('sql_cmd:' + sql_cmd)
    sql.exe_update(conn, sql_cmd)
示例#8
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def read_sql_data(config, table_name, **kwg):
    """
    读取sql数据库中的一个表
    参数可以传递start_time,end_time
    no_sclae是一个数据扩展标志位,如果为1则表示数据需要扩展
    扩展方式为讲读取的数据等分nclip份,形成nclip!份数据
    """
    keywords = 'stime'
    no_scale = True
    nclip = 10
    is_bar = False
    if 'keywords' in kwg:
        keywords = kwg['keywords']
    if 'no_scale' in kwg:
        no_scale = kwg['no_scale']
    if 'nclip' in kwg:
        nclip = kwg['nclip']
    if 'is_bar' in kwg:
        is_bar = kwg['is_bar']
    print('reading a table named %s...' % table_name)
    conn = sql.create_connection(config)
    if (sql.table_exists(conn, table_name)) == 1:
        print('the table is existe and reading...')
        #cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
        start = time.time()
        if 'start_time' in kwg and 'end_time' in kwg:
            start_time = kwg['start_time']
            end_time = kwg['end_time']
            sql_cmd = "select * from %s where %s between '%s' and '%s'"\
                        %(table_name, keywords, start_time, end_time)
        else:
            sql_cmd = "select * from %s" % table_name

        len_limit = sql.get_data_count(conn, sql_cmd)
        if 'limit' in kwg:
            limit = kwg['limit']
            if limit != None:
                #sql_cmd += ' limit %d'%limit
                len_limit = min(limit, len_limit)  #获得查询条数限制值
        print("sql_cmd: %s" % sql_cmd)
        #创建进度条对象
        total = 10  #默认10
        if is_bar:
            import processbar as pbar
            bar = pbar.Processbar(total)
            showbar = pbar.showbar(bar)
        else:
            showbar = None
        rows = sql.read_sql_bar(conn, sql_cmd, len_limit, showbar, total)
        if is_bar:
            bar.finish()
        #cursor.execute(sql_cmd)#获取数据行数
        #rows = cursor.fetchall()
        end = time.time()
        print(
            'Finished reading the data from the database which took %d seconds.'
            % (end - start))
        print('the length of data is : %d' % len(rows))
        if len(rows) > 0:
            df = pd.DataFrame(rows)
            if no_scale:
                return df
            else:
                scale = len(df)
                interval = scale // nclip
                data_dict = {}
                for i in range(0, scale, interval):
                    for j in range(interval, scale, interval):
                        if (i + j) <= scale:
                            data_dict[str(i) + '_' +
                                      str(j)] = df[i:(i + j)].copy(deep=True)
                print('the first step of scaling data has been done.')
                return data_dict
        else:
            print('there is no data in the table.')
            return None
    else:
        print('the table is not exist.')
        return None
示例#9
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def rw_bat_data(config, r_table_name, targe_base, id_list):
    """
    读取电池详细的工作数据,并将读出的数据存入batterybase中
    bat_id为数据库定义的电池编码,
    cid为原系统定义的电池编号
    """
    conn = sql.create_connection(config)
    cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
    rows = {}
    count = {}
    max_num = 5000000
    query = 'save_time, soc, soh, voltageb, voltagep, current, positive_insulation_resistance, ' + \
            'cathode_insulation_resistance, current_charge_quantity, current_loop_charge_quantity, ' +\
            'current_discharge_quantity, current_loop_discharge_quantity, charge_times, ' + \
            'loop_times, endurance_time, endurance_mileage, ' + \
            'uncompress(cell_volt), uncompress(cell_temp)'#, uncompress(cell_soc)'#, ' + \
    #'uncompress(cell_resistance), uncompress(cell_balance_status)'

    columns = 'current', 'voltagep', 'voltageb', 'soh', 'soc', 'save_time'
    """
            'positive_insulation_resistance', 
            'cathode_insulation_resistance', 'current_charge_quantity', 'current_loop_charge_quantity',
            'current_discharge_quantity', 'current_loop_discharge_quantity', 'charge_times',
            'loop_times', 'endurance_time', 'endurance_mileage']
    """
    #for bat_id, cid in v.items():
    start = time.time()
    for i in range(len(id_list)):
        bat_id = id_list.loc[i]['sys_id']
        cid = id_list.loc[i]['c_id']
        if cid == 21 or cid == 22 or cid == 23 or cid == 24:  #测试数据
            continue
        sql_cmd = "select count(*) from %s where car_id=%d" % (r_table_name,
                                                               cid)
        cursor.execute(sql_cmd)  #获取数据行数
        row = cursor.fetchall()
        count[bat_id] = row[0]['count(*)']
        print('The number of rows named %s-%s is %d.' %
              (bat_id, cid, count[bat_id]))
        sql_cmd = 'select ' + query + ' from %s where car_id=%d' % (
            r_table_name, cid)
        cursor.execute(sql_cmd)
        while count[bat_id] > 0:
            num = min(max_num, count[bat_id])
            rows[r_table_name] = pd.DataFrame(cursor.fetchmany(num))
            column_list = ['uncompress(cell_volt)',
                           'uncompress(cell_temp)']  #,
            #'uncompress(cell_soc)',  'uncompress(cell_resistance)',
            #'uncompress(cell_balance_status)']
            rows[r_table_name] = r_sbat_data(rows[r_table_name], *column_list)
            count[bat_id] = count[bat_id] - num
            engine = sql.create_sql_engine(targe_base, 'root', 'wzqsql',
                                           'localhost', '3306')
            dtypedict = sql.mapping_df_types(rows[r_table_name])
            column_list = rows[r_table_name].columns.tolist()
            for column in columns:
                column_list.remove(column)
                column_list.insert(0, column)
            '''
            df = rows[r_table_name][columns]
            rows[r_table_name] = rows[r_table_name].drop(columns, axis=1)
            rows[r_table_name] = rows[r_table_name].insert(0, columns, df)
            '''
            rows[r_table_name] = rows[r_table_name][column_list]
            rows[r_table_name].to_sql(bat_id,
                                      engine,
                                      index=False,
                                      if_exists='append',
                                      dtype=dtypedict)
            print('writing the data which num is %d in a talbe named %s' %
                  (num, bat_id))
    end = time.time()
    print('The process of reading and writing data is complete, which takes' + \
          '%s seconds.'%(end - start))
    cursor.close()
    sql.close_connection(conn)