631 lines
22 KiB
Python
631 lines
22 KiB
Python
import json
|
||
import redis
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||
import pymysql
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||
import time
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||
import functools
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||
from redis.exceptions import ConnectionError, TimeoutError
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||
import time, copy, threading
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||
from typing import List, Dict
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||
from sqlalchemy import (
|
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create_engine, MetaData, Table, Column,
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BigInteger, Integer, String, Text
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||
)
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from sqlalchemy.dialects.mysql import insert as mysql_insert
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from logger import logger
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||
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||
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MYSQL_URL = (
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"mysql+pymysql://db_vidcon:rexdK4fhCCiRE4BZ"
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"@192.144.230.75:3306/db_vidcon?charset=utf8mb4"
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||
)
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||
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_engine = create_engine(
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MYSQL_URL,
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pool_size=20, max_overflow=10,
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pool_pre_ping=True, pool_recycle=3600,
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future=True,
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)
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_meta = MetaData()
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video_op = Table("sh_dm_video_op_v2", _meta,
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Column("v_id", BigInteger, primary_key=True),
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Column("v_xid", String(64)),
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Column("a_id", Integer),
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Column("level", Integer),
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Column("name_title", String(255)),
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Column("keyword", String(255)),
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Column("rn", String(8)),
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Column("history_status", String(32)),
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Column("is_repeat", Integer),
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Column("sort", Integer),
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Column("createtime", Integer),
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Column("updatetime", Integer),
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Column("batch", BigInteger),
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Column("machine", Integer),
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)
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video = Table("sh_dm_video_v2", _meta,
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Column("v_id", BigInteger, primary_key=True),
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Column("v_xid", String(64)),
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Column("rn", String(8)),
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Column("v_name", String(255)),
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Column("title", String(255)),
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Column("link", Text),
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Column("edition", String(64)),
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Column("duration", Integer),
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Column("public_time", String(32)),
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Column("cover_pic", Text),
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Column("sort", Integer),
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Column("u_xid", String(64)),
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Column("u_id", BigInteger),
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Column("u_pic", Text),
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Column("u_name", String(255)),
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Column("status", Integer),
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Column("createtime", Integer),
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Column("updatetime", Integer),
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)
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def mysql_retry(max_retries: int = 3, base_delay: float = 2.0):
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"""
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装饰器工厂：捕获 InterfaceError 后断线重连并重试，
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重试间隔按指数级增长：base_delay * 2**(attempt-1) 秒。
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"""
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def decorator(fn):
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@functools.wraps(fn)
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def wrapper(self, *args, **kwargs):
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for attempt in range(1, max_retries + 1):
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try:
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# 确保连接存活，reconnect=True 会在 ping 失败时重连
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self.conn.ping(reconnect=True)
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return fn(self, *args, **kwargs)
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except pymysql.InterfaceError as e:
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wait = base_delay * (2 ** (attempt - 1))
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logger.info(f"[MySQL][{fn.__name__}] 第{attempt}次 InterfaceError：{e}，等待 {wait:.1f}s 后重连…")
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time.sleep(wait)
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self._reconnect_mysql()
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if attempt == max_retries:
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logger.info("[MySQL] 重试多次仍失败，抛出异常")
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raise
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return wrapper
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return decorator
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def redis_retry(max_retries: int = 3):
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"""
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装饰器工厂：指定最大重试次数。
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"""
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def decorator(fn):
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@functools.wraps(fn)
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def wrapper(self, *args, **kwargs):
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for attempt in range(1, max_retries + 1):
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try:
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return fn(self, *args, **kwargs)
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except (ConnectionError, TimeoutError) as e:
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logger.info(f"[Redis][{fn.__name__}] 第 {attempt} 次失败：{e}")
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self.reconnect_redis()
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if attempt == max_retries:
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logger.info("[Redis] 连接彻底失败")
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raise
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logger.info(f"[Redis] 重连后第 {attempt + 1} 次重试…")
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return wrapper
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return decorator
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class DBVidcon:
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_MYSQL_CONF = {
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"host": "192.144.230.75", # "127.0.0.1", #
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"port": 3306, # 3307, #
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"user": "db_vidcon",
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"password": "rexdK4fhCCiRE4BZ",
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"database": "db_vidcon",
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"charset": "utf8mb4",
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"cursorclass": pymysql.cursors.DictCursor,
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}
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_REDIS_CONF = {
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"host": "192.144.230.75", # "127.0.0.1", #
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"port": 6379, # 6380, #
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"password": "qwert@$123!&",
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"decode_responses": True,
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}
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def __init__(self):
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self.l0_list_key = "video_l0_queue"
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self.l1_list_key = "video_l1_queue"
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self.l2_list_key = "video_l2_queue"
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self.error_list_key = "error_save_queue"
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self.conn = pymysql.connect(**self._MYSQL_CONF)
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self.cursor = self.conn.cursor()
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self.redis = redis.Redis(**self._REDIS_CONF)
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def _connect_redis(self):
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"""初始化或重建 Redis 客户端"""
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self.redis = redis.Redis(**self._REDIS_CONF)
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def reconnect_redis(self):
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"""当捕获到 ConnectionError 时，重连 Redis"""
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try:
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self._connect_redis()
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except Exception as e:
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logger.info("[Redis reconnect error]", e)
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time.sleep(2)
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@redis_retry(max_retries=3)
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def push_record(self, data: dict):
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raw = json.dumps(data, ensure_ascii=False)
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self.redis.lpush(self.error_list_key, raw)
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@redis_retry(max_retries=3)
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def fetch_from_redis(self, count: int = 100, list_key: str = None):
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key = list_key
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try:
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raws = self.redis.lpop(key, count)
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||
except TypeError:
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||
raws = []
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for _ in range(count):
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item = self.redis.rpop(key)
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if item is None:
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break
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raws.append(item)
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except redis.exceptions.ConnectionError as e:
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logger.info("[Redis pop error]", e)
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self.reconnect_redis()
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return []
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if not raws:
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return []
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if isinstance(raws, str):
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raws = [raws]
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out = []
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for raw in raws:
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try:
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out.append((raw, json.loads(raw)))
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except json.JSONDecodeError:
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||
continue
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return out
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@redis_retry(max_retries=3)
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def push_l0(self, raws):
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"""向 l0（加急）队列写入数据"""
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if isinstance(raws, str):
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raws = [raws]
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||
self.redis.lpush(self.l0_list_key, *raws)
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logger.info(f"[写入l0] 已推入 {len(raws)} 条")
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@redis_retry(max_retries=3)
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def push_l1(self, payloads):
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"""向 l1（普通）队列写入数据"""
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if isinstance(payloads, str):
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payloads = [payloads]
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self.redis.rpush(self.l1_list_key, *payloads)
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logger.info(f"[写入l1] 已推入 {len(payloads)} 条")
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@redis_retry(max_retries=3)
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def push_l2(self, raws):
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"""向 l2（低优先）队列写入数据"""
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if isinstance(raws, str):
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raws = [raws]
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self.redis.lpush(self.l2_list_key, *raws)
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logger.info(f"[写入l2] 已推入 {len(raws)} 条")
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@mysql_retry()
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def get_proxy_agent_dict(self) -> dict:
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sql = "SELECT rn, parameter FROM proxy_agent"
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self.cursor.execute(sql)
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rows = self.cursor.fetchall()
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result = {row['rn']: row['parameter'] for row in rows}
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return result
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||
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@mysql_retry()
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def get_proxy_parameter(self, rn: str) -> str:
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sql = "SELECT parameter FROM proxy_agent WHERE rn = %s LIMIT 1"
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self.cursor.execute(sql, (rn,))
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||
result = self.cursor.fetchone()
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logger.info(result)
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||
return result['parameter'] if result else None
|
||
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||
@redis_retry(max_retries=3)
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||
def item_keyword(self, count: int = 20):
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||
try:
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||
items = self.fetch_from_redis(count, list_key=self.l0_list_key)
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||
except Exception as e:
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||
logger.info("[Redis l0 pop error]", e)
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||
self.reconnect_redis()
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||
items = []
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||
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||
if items:
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||
return items, 0
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||
try:
|
||
items = self.fetch_from_redis(count, list_key=self.l1_list_key)
|
||
except Exception as e:
|
||
logger.info("[Redis l1 pop error]", e)
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||
self.reconnect_redis()
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||
items = []
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||
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||
if items:
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||
return items, 1
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||
try:
|
||
items = self.fetch_from_redis(count, list_key=self.l2_list_key)
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||
except Exception as e:
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||
logger.info("[Redis l2 pop error]", e)
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||
self.reconnect_redis()
|
||
items = []
|
||
return items, 99
|
||
|
||
@redis_retry(max_retries=3)
|
||
def rollback_l1(self, payloads):
|
||
if isinstance(payloads, str):
|
||
payloads = [payloads]
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||
self.redis.rpush(self.l1_list_key, *payloads)
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||
logger.info(f"[回滚l1] 已退回 {len(payloads)} 条")
|
||
|
||
@redis_retry(max_retries=3)
|
||
def rollback_l0(self, raws):
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if isinstance(raws, str):
|
||
raws = [raws]
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self.redis.lpush(self.l0_list_key, *raws)
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||
logger.info(f"[回滚l0] 已退回 {len(raws)} 条")
|
||
|
||
@redis_retry(max_retries=3)
|
||
def rollback_l2(self, raws):
|
||
if isinstance(raws, str):
|
||
raws = [raws]
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||
self.redis.lpush(self.l2_list_key, *raws)
|
||
logger.info(f"[回滚l2] 已退回 {len(raws)} 条")
|
||
|
||
@mysql_retry()
|
||
def upsert_video(self, data: dict):
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logger.info(fr"DB处理->{data.get('v_xid')},\tlevel->{data.get('level')}")
|
||
data.setdefault("a_id", 0)
|
||
data.setdefault("history_status", "")
|
||
data.setdefault("is_piracy", 3)
|
||
data.setdefault("is_repeat", 3)
|
||
data["sort"] = data.get("index", 0)
|
||
|
||
max_retries = 1 # 除了第一次外，再重试一次
|
||
attempt = 0
|
||
|
||
while True:
|
||
try:
|
||
sql_op = """
|
||
INSERT INTO sh_dm_video_op_v2 (
|
||
v_id, v_xid, a_id, level, name_title,
|
||
keyword, rn, history_status, is_repeat,
|
||
sort, createtime, updatetime, batch, machine
|
||
) VALUES (
|
||
%(v_id)s, %(v_xid)s, %(a_id)s, %(level)s, %(v_name)s,
|
||
%(keyword)s, %(rn)s, %(history_status)s, %(is_repeat)s,
|
||
%(sort)s, UNIX_TIMESTAMP(), UNIX_TIMESTAMP(), %(batch)s, %(machine_id)s
|
||
)
|
||
"""
|
||
self.cursor.execute(sql_op, data)
|
||
sql_update = """
|
||
INSERT INTO sh_dm_video_v2 (
|
||
v_id, v_xid, rn, v_name, title, link,
|
||
edition, duration,
|
||
public_time, cover_pic, sort,
|
||
u_xid, u_id, u_pic, u_name,
|
||
status, createtime, updatetime
|
||
) VALUES (
|
||
%(v_id)s, %(v_xid)s, %(rn)s, %(v_name)s, %(title)s, %(link)s,
|
||
'', %(duration)s,
|
||
%(create_time)s, %(cover_pic)s, %(sort)s,
|
||
%(u_xid)s, %(u_id)s, %(u_pic)s, %(u_name)s,
|
||
1, UNIX_TIMESTAMP(), UNIX_TIMESTAMP()
|
||
)
|
||
ON DUPLICATE KEY UPDATE
|
||
title = VALUES(title),
|
||
duration = VALUES(duration),
|
||
cover_pic = VALUES(cover_pic),
|
||
sort = VALUES(sort),
|
||
updatetime = UNIX_TIMESTAMP();
|
||
"""
|
||
|
||
self.cursor.execute(sql_update, data)
|
||
break # 成功跳出重试循环
|
||
|
||
except Exception as e:
|
||
|
||
# 回滚这次未提交的改动
|
||
self.conn.rollback()
|
||
logger.info("[数据库写入异常]", str(e))
|
||
logger.info("[出错数据]:", data)
|
||
|
||
if attempt < max_retries:
|
||
attempt += 1
|
||
logger.info(f"第 {attempt + 1} 次重试…")
|
||
continue
|
||
else:
|
||
# 重试过后依然失败，推入 Redis 备用
|
||
logger.info("重试失败，将数据写入 Redis 以便后续处理")
|
||
self.push_record(data)
|
||
logger.info("[交由Redis处理]")
|
||
break
|
||
|
||
@mysql_retry()
|
||
def fetch_keyword_title(self, level: int = 99):
|
||
sql = """
|
||
SELECT
|
||
k.keyword,
|
||
k.rn,
|
||
t.title AS v_name,
|
||
ANY_VALUE(t.level) AS level
|
||
FROM
|
||
sh_dm_keyword k
|
||
LEFT JOIN
|
||
sh_dm_title t ON k.title = t.title
|
||
WHERE
|
||
k.status = 1
|
||
AND t.status = 1
|
||
AND NOT EXISTS (
|
||
SELECT 1 FROM sh_dm_black_keyword b WHERE b.title = t.title
|
||
)
|
||
AND t.level = %s
|
||
GROUP BY k.keyword, k.rn
|
||
"""
|
||
self.cursor.execute(sql, (level,))
|
||
return self.cursor.fetchall()
|
||
|
||
@mysql_retry()
|
||
def log_batch_start(self, info: Dict) -> int or None:
|
||
batch = info.get("batch")
|
||
level = info.get("level")
|
||
if batch is None or level is None:
|
||
raise ValueError("info 字典必须包含 'batch' 和 'level'")
|
||
count = info.get("count", 0)
|
||
if level == 0:
|
||
t0, t1, t2 = count, 0, 0
|
||
elif level == 1:
|
||
t0, t1, t2 = 0, count, 0
|
||
elif level == 9:
|
||
level = 2
|
||
t0, t1, t2 = 0, 0, count
|
||
|
||
start_ts = int(time.time())
|
||
sql = """
|
||
INSERT INTO sh_dm_batch_log
|
||
(batch, info, t0, t1, t2, starttime)
|
||
VALUES (%s, %s, %s, %s, %s, %s)
|
||
"""
|
||
try:
|
||
self.cursor.execute(sql, (batch, level, t0, t1, t2, start_ts))
|
||
self.conn.commit()
|
||
return self.cursor.lastrowid
|
||
except Exception as e:
|
||
logger.info(f"[log_batch_start] 插入失败：{e}")
|
||
return None
|
||
|
||
@mysql_retry()
|
||
def flush(self):
|
||
"""批量执行完后手动提交。"""
|
||
self.conn.commit()
|
||
|
||
def close(self):
|
||
try:
|
||
if self.cursor:
|
||
self.cursor.close()
|
||
finally:
|
||
if self.conn:
|
||
self.conn.close()
|
||
try:
|
||
if hasattr(self, "redis") and self.redis:
|
||
# redis-py ≥ 4.2 推荐直接调用 .close()
|
||
if hasattr(self.redis, "close"):
|
||
self.redis.close()
|
||
else:
|
||
self.redis.connection_pool.disconnect()
|
||
except Exception as e:
|
||
logger.info("[Redis close error]", e)
|
||
|
||
@redis_retry(max_retries=3)
|
||
def get_proxy(self, region_code: str) -> str:
|
||
"""
|
||
从 Redis 队列 proxy_queue:<region_code> 弹出一个代理并返回。
|
||
如果队列为空，阻塞
|
||
"""
|
||
proxy = ""
|
||
while True:
|
||
key = f"proxy_queue:{region_code}"
|
||
proxy = self.redis.lpop(key)
|
||
if proxy is None:
|
||
time.sleep(10)
|
||
else:
|
||
break
|
||
return proxy
|
||
|
||
@redis_retry(max_retries=3)
|
||
def queues_empty(self) -> bool:
|
||
"""
|
||
如果都空，返回 True；只要有一个不空，就返回 False。
|
||
"""
|
||
return (
|
||
self.redis.llen(self.l0_list_key) == 0
|
||
and self.redis.llen(self.l1_list_key) == 0
|
||
and self.redis.llen(self.l2_list_key) == 0
|
||
)
|
||
|
||
@redis_retry()
|
||
def l0_empty(self) -> bool:
|
||
return self.redis.llen(self.l0_list_key) == 0
|
||
|
||
@redis_retry()
|
||
def l1_empty(self) -> bool:
|
||
return self.redis.llen(self.l1_list_key) == 0
|
||
|
||
@redis_retry()
|
||
def l2_empty(self) -> bool:
|
||
return self.redis.llen(self.l2_list_key) == 0
|
||
|
||
@redis_retry(max_retries=3)
|
||
def pop_error_item(self):
|
||
"""
|
||
从 error_list_key 中弹出一个错误记录（lpop），
|
||
如果队列为空，返回 None。
|
||
"""
|
||
item = self.redis.lpop(self.error_list_key)
|
||
# 如果你存入的是 JSON 字符串，可以在这里做一次反序列化：
|
||
return json.loads(item) if item is not None else None
|
||
|
||
|
||
class DBSA:
|
||
FLUSH_EVERY_ROWS = 100 # 行阈值
|
||
FLUSH_INTERVAL = 3 # 秒阈值
|
||
|
||
_buf_op: List[Dict] = []
|
||
_buf_vid: List[Dict] = []
|
||
_buf_payload: List[Dict] = []
|
||
_last_flush: float = time.time()
|
||
_lock = threading.Lock()
|
||
|
||
push_record_many = staticmethod(
|
||
lambda rows: logger.info("[退回Redis] cnt=", len(rows))
|
||
)
|
||
|
||
@classmethod
|
||
def upsert_video(cls, data):
|
||
data = copy.deepcopy(data)
|
||
data.setdefault("a_id", 0)
|
||
data.setdefault("history_status", "")
|
||
data.setdefault("is_repeat", 3) # 避免 KeyError
|
||
data["sort"] = data.get("index", 0)
|
||
|
||
now_ts = int(time.time())
|
||
op_row = {
|
||
"v_id": data["v_id"], "v_xid": data["v_xid"], "a_id": data["a_id"],
|
||
"level": data["level"], "name_title": data["v_name"],
|
||
"keyword": data["keyword"], "rn": data["rn"],
|
||
"history_status": data["history_status"], "is_repeat": data["is_repeat"],
|
||
"sort": data["sort"], "createtime": now_ts, "updatetime": now_ts,
|
||
"batch": data["batch"], "machine": data["machine_id"],
|
||
}
|
||
vid_row = {
|
||
"v_id": data["v_id"], "v_xid": data["v_xid"], "rn": data["rn"],
|
||
"v_name": data["v_name"], "title": data["title"], "link": data["link"],
|
||
"edition": "", "duration": data["duration"],
|
||
"public_time": data["create_time"], "cover_pic": data["cover_pic"],
|
||
"sort": data["sort"], "u_xid": data["u_xid"], "u_id": data["u_id"],
|
||
"u_pic": data["u_pic"], "u_name": data["u_name"],
|
||
"status": 1, "createtime": now_ts, "updatetime": now_ts,
|
||
}
|
||
|
||
with cls._lock:
|
||
cls._buf_op.append(op_row)
|
||
cls._buf_vid.append(vid_row)
|
||
cls._buf_payload.append(data) # 保存原始
|
||
buf_len = len(cls._buf_vid)
|
||
logger.info(f"DB缓冲 -> xid={data['v_xid']}, level={data['level']}, buffer={buf_len}")
|
||
|
||
need_flush = False
|
||
flush_reason = ""
|
||
if buf_len >= cls.FLUSH_EVERY_ROWS:
|
||
need_flush = True
|
||
flush_reason = "ROWS"
|
||
elif time.time() - cls._last_flush >= cls.FLUSH_INTERVAL:
|
||
need_flush = True
|
||
flush_reason = "TIME"
|
||
|
||
if need_flush:
|
||
logger.info(f"DBSA 落 ({flush_reason}) ...")
|
||
cls.flush()
|
||
|
||
@classmethod
|
||
def _bulk_insert(cls, rows: List[Dict]):
|
||
if not rows:
|
||
return
|
||
stmt = video_op.insert().values(rows)
|
||
with _engine.begin() as conn:
|
||
conn.execute(stmt)
|
||
|
||
@classmethod
|
||
def _bulk_upsert(cls, rows: List[Dict]):
|
||
if not rows:
|
||
return
|
||
stmt = mysql_insert(video).values(rows)
|
||
upd = {
|
||
"title": stmt.inserted.title,
|
||
"duration": stmt.inserted.duration,
|
||
"cover_pic": stmt.inserted.cover_pic,
|
||
"sort": stmt.inserted.sort,
|
||
"updatetime": stmt.inserted.updatetime,
|
||
}
|
||
ondup = stmt.on_duplicate_key_update(**upd)
|
||
with _engine.begin() as conn:
|
||
conn.execute(ondup)
|
||
|
||
@classmethod
|
||
def flush(cls):
|
||
with cls._lock:
|
||
op_rows = cls._buf_op[:]
|
||
vid_rows = cls._buf_vid[:]
|
||
payloads = cls._buf_payload[:]
|
||
cls._buf_op.clear()
|
||
cls._buf_vid.clear()
|
||
cls._buf_payload.clear()
|
||
cls._last_flush = time.time()
|
||
|
||
if not op_rows and not vid_rows:
|
||
return
|
||
|
||
for r in vid_rows:
|
||
r.pop("is_repeat", None)
|
||
r.pop("level", None)
|
||
|
||
start = time.time()
|
||
try:
|
||
cls._bulk_insert(op_rows)
|
||
cls._bulk_upsert(vid_rows)
|
||
logger.info(f"[DBSA] 成 op={len(op_rows)} video={len(vid_rows)} time={time.time() - start:.3f}s")
|
||
|
||
except Exception as e:
|
||
logger.info(f"[DBSA] flush FAIL: {e} op={len(op_rows)} video={len(vid_rows)}")
|
||
# 批量退回原始 payload，字段最全
|
||
try:
|
||
cls.push_record_many(payloads)
|
||
except Exception as re:
|
||
logger.info("[Redis 回退失败]", re)
|
||
|
||
@classmethod
|
||
def update_video_stats(cls, locator:dict, stats:dict) -> int:
|
||
"""
|
||
立即更新 sh_dm_video_v2 表中的统计字段。n
|
||
:param locator: 用于定位行的字典，必须包含: v_xid, rn
|
||
:param stats: 需要更新的统计字段，如 {"fans": 633, "videos": 10090, "view": 1678408}
|
||
:return: 受影响的行数
|
||
"""
|
||
v_xid = locator.get("v_xid")
|
||
rn = locator.get("rn")
|
||
if not v_xid or not rn:
|
||
raise ValueError("locator 必须包含 'v_xid' 和 'rn'")
|
||
|
||
params = dict(stats)
|
||
params["updatetime"] = int(time.time())
|
||
# 过滤只保留 video 表中存在的列
|
||
valid_cols = set(video.c.keys())
|
||
filtered_params = {k: v for k, v in params.items() if k in valid_cols}
|
||
|
||
stmt = (
|
||
video
|
||
.update()
|
||
.where(video.c.v_xid == v_xid, video.c.rn == rn)
|
||
.values(**filtered_params)
|
||
)
|
||
with _engine.begin() as conn:
|
||
result = conn.execute(stmt)
|
||
return result.rowcount
|
||
|
||
@classmethod
|
||
def update_video_stats_async(cls, locator:dict, stats:dict) -> None:
|
||
"""
|
||
异步更新 sh_dm_video_v2 表中的统计字段，立即返回，不阻塞调用线程。
|
||
"""
|
||
thread = threading.Thread(
|
||
target=cls.update_video_stats,
|
||
args=(locator, stats),
|
||
daemon=True
|
||
)
|
||
thread.start() |