rov-offline/write_redis/alg_recsys_feature_06_vovhour4rank_redis.py

# -*- coding: utf-8 -*-
import os
import sys
root_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
if root_dir not in sys.path:
    sys.path.append(root_dir)
    print("******** sys.path ********")
    print(sys.path)

from multiprocessing import Process
from odps import ODPS
from threading import Timer
import threading
from my_utils import RedisHelper, execute_sql_from_odps
from my_config import set_config
from log import Log
import json
from datetime import datetime
from queue import Queue
from tqdm import tqdm
import time




config_, _ = set_config()
log_ = Log()
redis_helper = RedisHelper()

REDIS_PREFIX = "redis:vid_vovhour4rank:"
EXPIRE_TIME = 8 * 3600

def worker(queue, executor):
    while True:
        row = queue.get()
        if row is None:  # 结束信号
            queue.task_done()
            break
        executor(row)
        queue.task_done()
def records_process_for_list(records, executor, max_size=50, num_workers=10):
    # 创建一个线程安全的队列
    queue = Queue(maxsize=max_size)  # 可以调整 maxsize 以控制内存使用
    # 设置线程池大小
    num_workers = num_workers
    # 启动工作线程
    threads = []
    for _ in range(num_workers):
        t = threading.Thread(target=worker, args=(queue, executor))
        t.start()
        threads.append(t)
    # 读取数据并放入队列
    for row in tqdm(records):
        queue.put(row)
    # 发送结束信号
    for _ in range(num_workers):
        queue.put(None)
    # 等待所有任务完成
    queue.join()
    # 等待所有工作线程结束
    for t in threads:
        t.join()
def process_and_store(row):
    table_key, json_str = row
    key = REDIS_PREFIX + str(table_key)
    expire_time = EXPIRE_TIME
    redis_helper.set_data_to_redis(key, json_str, expire_time)

def check_data(project, table,  date, hour, mm) -> int:
    """检查数据是否准备好,输出数据条数"""
    odps = ODPS(
        access_id=config_.ODPS_CONFIG['ACCESSID'],
        secret_access_key=config_.ODPS_CONFIG['ACCESSKEY'],
        project=project,
        endpoint=config_.ODPS_CONFIG['ENDPOINT'],
        connect_timeout=3000,
        read_timeout=500000,
        pool_maxsize=1000,
        pool_connections=1000
    )
    try:
        t = odps.get_table(name=table)
        log_.info(f"检查分区是否存在-【 dt={date} hh={hour}】")
        check_res = t.exist_partition(partition_spec=f'dt={date},hh={hour}')
        if check_res:
            sql = f'select * from {project}.{table} where dt = {date} and hh = {hour}'
            log_.info(sql)
            with odps.execute_sql(sql=sql).open_reader() as reader:
                data_count = reader.count
        else:
            log_.info("表{}分区{}/{}不存在".format(table, date, hour))
            data_count = 0
    except Exception as e:
        log_.error("table:{},date:{},hour:{} no data. return data_count=0,报错原因是:{}".format(table, date, hour, e))
        data_count = 0
    return data_count

def get_sql(project, table, date, hour, mm):
    sql = '''
    SELECT  vid
            ,feature
    FROM    {}.{}
    WHERE   dt = '{}'
    and     hh = '{}'
    '''.format(
        project, table, date, hour
    )
    print("sql:" + sql)
    records = execute_sql_from_odps(project=project, sql=sql)
    video_list = []
    with records.open_reader() as reader:
        for record in reader:
            key1 = record['vid']
            key = key1
            m = dict()
            try:
                json_str = record['feature']
            except Exception as e:
                json_str = json.dumps(m)
                log_.error(e)

            video_list.append([key, json_str])
    return video_list


def main():
    try:
        date = sys.argv[1]
        hour = sys.argv[2]
        # mm = sys.argv[3]
        mm = "00"
    except Exception as e:
        date = datetime.now().strftime('%Y%m%d')
        hour = datetime.now().hour
        # mm = datetime.now().minute
        mm = "00"
        log_.info("没有读取到参数，采用系统时间：{}".format(e))
    log_.info("使用时间参数-日期：{}，小时：{}".format(date, str(hour)))
    if hour in []:
        log_.info(f"hour={hour}不执行，直接返回。")
        return
    # 1 判断上游数据表是否生产完成
    project = "loghubods"
    table = "alg_vid_hour_vov"
    run_flag = True
    begin_ts = int(time.time())
    table_data_cnt = 0
    while run_flag:
        if int(time.time()) - begin_ts >= 60 * 40:
            log_.info("等待上游数据超过40分钟了，认为失败退出:过了{}秒。".format(int(time.time()) - begin_ts))
            sys.exit(1)
        table_data_cnt = check_data(project, table, date, hour, mm)
        if table_data_cnt == 0:
            log_.info("上游数据{}未就绪{}/{}，等待...".format(table, date, hour))
            log_.info("等待5分钟")
            time.sleep(60 * 5)
        else:
            run_flag = False

    log_.info("上游数据就绪，count={}，开始读取数据表".format(table_data_cnt))
    # 2 读取数据表 处理特征
    video_list = get_sql(project, table, date, hour, mm)
    # 3 写入redis
    log_.info("video的数据量:{}".format(len(video_list)))
    records_process_for_list(video_list, process_and_store, max_size=50, num_workers=8)

if __name__ == '__main__':
    log_.info("开始执行:" + datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
    process = Process(target=main)
    process.start()
    # 等待子进程完成或超时
    timeout = 3600
    process.join(timeout=timeout)  # 设置超时为3600秒（1小时）
    if process.is_alive():
        print("脚本执行时间超过1小时，执行失败，经过了{}秒。".format(timeout))
        process.terminate()  # 终止子进程
        sys.exit(1)  # 直接退出主进程并返回状态码999
    log_.info("完成执行:" + datetime.now().strftime("%Y-%m-%d %H:%M:%S"))



# cd /root/zhangbo/rov-offline
# python alg_recsys_feature_06_vovhour4rank_redis.py 20240925 20

"""
    ！！！！！！！！！！！！！！
    更改字段：table 表名
            REDIS_PREFIX redis的key
            EXPIRE_TIME redis的过期时间
            两段sql 各种字段 注意分区是否有“分钟”
            record 各种字段
            if hour in ["00"]: 哪些小时不执行
            process.join(timeout=3600) 任务超时时间3600
            int(time.time()) - begin_ts >= 60*50 任务超时时间3000
"""