buff3.0/buff-api/sync_goods_attr/sync_goods_attr copy.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
BUFF饰品属性信息获取脚本（使用连接池版本）

特点：
1. 使用DBUtils连接池管理数据库连接
2. 自动处理连接失效和重连
3. 更稳定的长连接管理
4. 避免频繁创建和关闭连接的开销
5. 直接请求接口，无代理

快速补齐缺失属性：可设置环境变量调大每轮处理量，例如：
  BATCH_SIZE=200 python sync_goods_attr.py
（当前为串行模式：每次 1 个请求，每 3 秒一次）

安装依赖：
pip install DBUtils==3.0.2
"""

import os
import sys
import time
import logging
import threading
import json
import requests
import pymysql
from dbutils.pooled_db import PooledDB
import concurrent.futures
from datetime import datetime
from typing import List, Dict, Any, Optional, Tuple

# ============================================================
# 配置信息
# ============================================================

# BUFF API配置
BUFF_API_BASE_URL = "https://buff.163.com/api/market/goods/sell_order"
GAME = "csgo"

# 数据库配置
DB_HOST = os.getenv("DB_HOST", "47.99.164.66")
DB_PORT = int(os.getenv("DB_PORT", "3306"))
DB_USER = os.getenv("DB_USER", "root")
DB_PASSWORD = os.getenv("DB_PASSWORD", "hn02le.34lkdLKD")
DB_NAME = os.getenv("DB_NAME", "buff")

# 连接池配置
DB_POOL_CONFIG = {
    'creator': pymysql,
    'host': DB_HOST,
    'port': DB_PORT,
    'user': DB_USER,
    'password': DB_PASSWORD,
    'database': DB_NAME,
    'charset': 'utf8mb4',
    'cursorclass': pymysql.cursors.DictCursor,
    'autocommit': True,  # 自动提交事务
    'maxconnections': 10,  # 最大连接数
    'mincached': 3,  # 初始空闲连接数
    'maxcached': 5,  # 最大空闲连接数
    'maxusage': 1000,  # 单个连接最大使用次数
    'ping': 7,  # 使用ping检查连接：0=从不, 1=创建时, 2=获取时, 4=归还时, 7=总是
    'blocking': True,  # 连接池满时是否等待
    'setsession': [],  # 可选的会话命令列表
}

# 请求配置（可通过环境变量 BATCH_SIZE 调大每轮处理量）
REQUEST_TIMEOUT = 30
REQUEST_INTERVAL = 3  # 每次请求间隔秒数（每3秒请求一次）
CONCURRENT_WORKERS = int(os.getenv("CONCURRENT_WORKERS", "1"))  # 并发请求数（1=串行，每3秒一次）
MAX_RETRIES = 3
RETRY_DELAY = 2
BATCH_SIZE = int(os.getenv("BATCH_SIZE", "100"))  # 每轮拉取的饰品数量，调大可加快整体补齐

# ============================================================
# 配置日志
# ============================================================

def setup_logging():
    """配置日志系统"""
    log_dir = os.path.dirname(os.path.abspath(__file__))
    log_file = os.path.join(log_dir, "logs", f"sync_goods_attr_{datetime.now().strftime('%Y%m%d')}.log")
    os.makedirs(os.path.dirname(log_file), exist_ok=True)
    
    logging.basicConfig(
        level=logging.INFO,
        format='%(asctime)s - %(levelname)s - [%(threadName)s] - %(message)s',
        handlers=[
            logging.StreamHandler(sys.stdout),
            logging.FileHandler(log_file, encoding='utf-8')
        ]
    )
    return logging.getLogger(__name__)

logger = setup_logging()

# 请求频率限制：每 REQUEST_INTERVAL 秒最多一次请求（多线程安全）
_request_lock = threading.Lock()
_last_request_time = [0.0]  # 使用列表以便在闭包中修改

# ============================================================
# 数据库连接池操作类
# ============================================================

class DatabaseConnectionPool:
    """数据库连接池管理类"""
    
    _instance = None
    _pool = None
    
    def __new__(cls):
        if cls._instance is None:
            cls._instance = super().__new__(cls)
            cls._instance._init_pool()
        return cls._instance
    
    def _init_pool(self):
        """初始化连接池"""
        try:
            self._pool = PooledDB(**DB_POOL_CONFIG)
            logger.info(f"数据库连接池初始化成功: {DB_HOST}:{DB_PORT}/{DB_NAME}")
            logger.info(f"连接池配置: maxconnections={DB_POOL_CONFIG['maxconnections']}, mincached={DB_POOL_CONFIG['mincached']}")
        except Exception as e:
            logger.error(f"数据库连接池初始化失败: {e}")
            raise
    
    def get_connection(self):
        """从连接池获取连接"""
        try:
            conn = self._pool.connection()
            return conn
        except Exception as e:
            logger.error(f"从连接池获取连接失败: {e}")
            # 尝试重新初始化连接池
            time.sleep(2)
            self._init_pool()
            return self._pool.connection()
    
    def close_pool(self):
        """关闭连接池"""
        if self._pool:
            self._pool.close()
            logger.info("数据库连接池已关闭")


class GoodsAttrDatabase:
    """饰品属性数据库操作类（使用连接池）"""

    def __init__(self):
        self.pool = DatabaseConnectionPool()
    
    def execute_query(self, sql: str, params=None, fetch_all=True):
        """执行查询"""
        conn = None
        cursor = None
        try:
            conn = self.pool.get_connection()
            cursor = conn.cursor()
            
            if params:
                cursor.execute(sql, params)
            else:
                cursor.execute(sql)
            
            if fetch_all:
                return cursor.fetchall()
            else:
                return cursor.fetchone()
                
        except pymysql.Error as e:
            logger.error(f"数据库查询失败: {e}, SQL: {sql}")
            raise
        finally:
            if cursor:
                cursor.close()
            # 注意：这里不需要关闭conn，连接池会自动管理
    
    def execute_update(self, sql: str, params=None, many=False):
        """执行更新操作"""
        conn = None
        cursor = None
        try:
            conn = self.pool.get_connection()
            cursor = conn.cursor()
            
            if many and params:
                cursor.executemany(sql, params)
            elif params:
                cursor.execute(sql, params)
            else:
                cursor.execute(sql)
            
            affected_rows = cursor.rowcount
            return affected_rows
            
        except pymysql.Error as e:
            logger.error(f"数据库更新失败: {e}, SQL: {sql}")
            raise
        finally:
            if cursor:
                cursor.close()
    
    def execute_transaction(self, operations: List[Tuple[str, tuple]]):
        """执行事务（一组操作要么全部成功，要么全部回滚）"""
        conn = None
        cursor = None
        try:
            conn = self.pool.get_connection()
            cursor = conn.cursor()
            
            # 开始事务
            conn.begin()
            
            for sql, params in operations:
                if params:
                    cursor.execute(sql, params)
                else:
                    cursor.execute(sql)
            
            # 提交事务
            conn.commit()
            return True
            
        except Exception as e:
            logger.error(f"事务执行失败: {e}")
            if conn:
                try:
                    conn.rollback()
                except:
                    pass
            return False
        finally:
            if cursor:
                cursor.close()
    
    def get_goods_without_attr(self, limit: int = BATCH_SIZE) -> List[Dict[str, Any]]:
        """
        获取没有属性信息的饰品列表
        从buff_goods_info表中找出在buff_goods_attr表中不存在的饰品
        """
        try:
            sql = """
            SELECT 
                g.goods_id,
                g.name,
                g.buff_url,
                g.stat_time
            FROM buff_goods_info g
            LEFT JOIN buff_goods_attr a ON g.goods_id = a.goods_id
            WHERE a.goods_id IS NULL
            ORDER BY g.create_time ASC
            LIMIT %s
            """
            results = self.execute_query(sql, (limit,))
            
            goods_list = []
            for row in results:
                goods_list.append({
                    'goods_id': row['goods_id'],
                    'name': row['name'],
                    'buff_url': row['buff_url'],
                    'stat_time': row['stat_time']
                })
            
            logger.info(f"找到 {len(goods_list)} 个没有属性信息的饰品")
            return goods_list
            
        except Exception as e:
            logger.error(f"查询没有属性信息的饰品失败: {e}")
            return []
    
    def batch_insert_goods_attrs(self, attr_data_list: List[Dict[str, Any]]) -> int:
        """批量插入饰品属性信息"""
        if not attr_data_list:
            return 0
        
        # 准备批量插入操作
        operations = []
        
        for attr_data in attr_data_list:
            # 删除已存在的记录
            delete_sql = "DELETE FROM buff_goods_attr WHERE goods_id = %s"
            operations.append((delete_sql, (attr_data['goods_id'],)))
            
            # 插入新记录
            insert_sql = """
            INSERT INTO buff_goods_attr 
            (goods_id, name, icon_url, type, type_name, category, category_name, 
             category_group, category_group_name, rarity, rarity_name, 
             quality, quality_name, exterior, exterior_name, weapon, weapon_name,
             series, series_name, custom, custom_name, itemset, itemset_name,
             extra_tag_ids, extra_tag_ids_name, custom_patch, custom_patch_name,
             custom_charm, custom_charm_name, stat_time, create_time, update_time)
            VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, 
                    %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW(), NOW())
            """
            
            values = (
                attr_data.get('goods_id'),
                attr_data.get('name', ''),
                attr_data.get('icon_url'),
                attr_data.get('type'),
                attr_data.get('type_name'),
                attr_data.get('category'),
                attr_data.get('category_name'),
                attr_data.get('category_group'),
                attr_data.get('category_group_name'),
                attr_data.get('rarity'),
                attr_data.get('rarity_name'),
                attr_data.get('quality'),
                attr_data.get('quality_name'),
                attr_data.get('exterior'),
                attr_data.get('exterior_name'),
                attr_data.get('weapon'),
                attr_data.get('weapon_name'),
                attr_data.get('series'),
                attr_data.get('series_name'),
                attr_data.get('custom'),
                attr_data.get('custom_name'),
                attr_data.get('itemset'),
                attr_data.get('itemset_name'),
                attr_data.get('extra_tag_ids'),
                attr_data.get('extra_tag_ids_name'),
                attr_data.get('custom_patch'),
                attr_data.get('custom_patch_name'),
                attr_data.get('custom_charm'),
                attr_data.get('custom_charm_name'),
                attr_data.get('stat_time', datetime.now())
            )
            
            operations.append((insert_sql, values))
        
        try:
            # 执行事务
            if self.execute_transaction(operations):
                logger.info(f"成功批量插入 {len(attr_data_list)} 个饰品的属性信息")
                return len(attr_data_list)
            else:
                logger.error("批量插入饰品属性信息失败")
                return 0
                
        except Exception as e:
            logger.error(f"批量插入饰品属性信息异常: {e}")
            return 0
    
    def insert_goods_attr(self, attr_data: Dict[str, Any]) -> bool:
        """插入单个饰品属性信息"""
        try:
            # 使用事务确保删除和插入的原子性
            delete_sql = "DELETE FROM buff_goods_attr WHERE goods_id = %s"
            insert_sql = """
            INSERT INTO buff_goods_attr 
            (goods_id, name, icon_url, type, type_name, category, category_name, 
             category_group, category_group_name, rarity, rarity_name, 
             quality, quality_name, exterior, exterior_name, weapon, weapon_name,
             series, series_name, custom, custom_name, itemset, itemset_name,
             extra_tag_ids, extra_tag_ids_name, custom_patch, custom_patch_name,
             custom_charm, custom_charm_name, stat_time, create_time, update_time)
            VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, 
                    %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, NOW(), NOW())
            """
            
            values = (
                attr_data.get('goods_id'),
                attr_data.get('name', ''),
                attr_data.get('icon_url'),
                attr_data.get('type'),
                attr_data.get('type_name'),
                attr_data.get('category'),
                attr_data.get('category_name'),
                attr_data.get('category_group'),
                attr_data.get('category_group_name'),
                attr_data.get('rarity'),
                attr_data.get('rarity_name'),
                attr_data.get('quality'),
                attr_data.get('quality_name'),
                attr_data.get('exterior'),
                attr_data.get('exterior_name'),
                attr_data.get('weapon'),
                attr_data.get('weapon_name'),
                attr_data.get('series'),
                attr_data.get('series_name'),
                attr_data.get('custom'),
                attr_data.get('custom_name'),
                attr_data.get('itemset'),
                attr_data.get('itemset_name'),
                attr_data.get('extra_tag_ids'),
                attr_data.get('extra_tag_ids_name'),
                attr_data.get('custom_patch'),
                attr_data.get('custom_patch_name'),
                attr_data.get('custom_charm'),
                attr_data.get('custom_charm_name'),
                attr_data.get('stat_time', datetime.now())
            )
            
            # 执行事务
            operations = [
                (delete_sql, (attr_data['goods_id'],)),
                (insert_sql, values)
            ]
            
            success = self.execute_transaction(operations)
            if success:
                logger.debug(f"成功插入饰品 {attr_data['goods_id']} 的属性信息")
            else:
                logger.error(f"插入饰品 {attr_data['goods_id']} 属性信息失败")
            
            return success
            
        except Exception as e:
            logger.error(f"插入饰品 {attr_data.get('goods_id', '未知')} 属性信息异常: {e}")
            return False
    
    def check_connection(self):
        """检查连接是否正常"""
        try:
            self.execute_query("SELECT 1")
            return True
        except Exception as e:
            logger.error(f"数据库连接检查失败: {e}")
            return False

# ============================================================
# BUFF API 操作类
# ============================================================

class BuffGoodsAPI:
    """BUFF饰品API操作类（直连请求）"""
    
    def __init__(self):
        self.session = requests.Session()
        self.session.headers.update({
            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
            "Accept": "application/json, text/plain, */*",
            "Accept-Language": "zh-CN,zh;q=0.9,en;q=0.8",
            "Accept-Encoding": "gzip, deflate, br",
            "Connection": "keep-alive",
            "Referer": "https://buff.163.com/",
            "Sec-Fetch-Dest": "empty",
            "Sec-Fetch-Mode": "cors",
            "Sec-Fetch-Site": "same-origin"
        })
    
    def fetch_goods_info(self, goods_id: str) -> Optional[Dict[str, Any]]:
        """获取单个饰品的详细信息"""
        url = f"{BUFF_API_BASE_URL}?game={GAME}&goods_id={goods_id}"
        
        for retry in range(MAX_RETRIES):
            try:
                logger.debug(f"请求饰品 {goods_id} (第{retry + 1}次尝试)...")
                
                # 每 REQUEST_INTERVAL 秒请求一次，多线程下串行控制
                with _request_lock:
                    elapsed = time.time() - _last_request_time[0]
                    if elapsed < REQUEST_INTERVAL:
                        time.sleep(REQUEST_INTERVAL - elapsed)
                    _last_request_time[0] = time.time()
                
                # 使用 requests.get 避免多线程共享 Session，保证并发安全，直连请求
                response = requests.get(
                    url,
                    headers=self.session.headers,
                    timeout=REQUEST_TIMEOUT,
                )
                response.raise_for_status()
                
                data = response.json()
                
                # 检查API响应状态
                if data.get("code") != "OK":
                    logger.warning(f"饰品 {goods_id} API返回错误: {data.get('msg', '未知错误')}")
                    return None
                
                # 提取饰品信息
                goods_info = self._extract_goods_info(data, goods_id)
                if goods_info:
                    logger.info(f"成功获取饰品 {goods_id} 的属性信息")
                    return goods_info
                else:
                    logger.warning(f"饰品 {goods_id} 未找到属性信息")
                    return None
                    
            except requests.exceptions.RequestException as e:
                logger.error(f"请求饰品 {goods_id} 失败 (尝试 {retry + 1}/{MAX_RETRIES}): {e}")
                if retry < MAX_RETRIES - 1:
                    time.sleep(RETRY_DELAY * (retry + 1))
                else:
                    logger.error(f"饰品 {goods_id} 请求失败，已重试{MAX_RETRIES}次")
                    return None
            except json.JSONDecodeError as e:
                logger.error(f"饰品 {goods_id} 响应JSON解析失败: {e}")
                return None
            except Exception as e:
                logger.error(f"处理饰品 {goods_id} 时发生未知错误: {e}")
                return None
        
        return None
    
    def _extract_goods_info(self, api_data: Dict[str, Any], goods_id: str) -> Optional[Dict[str, Any]]:
        """从API响应中提取饰品属性信息"""
        try:
            data = api_data.get("data", {})
            goods_infos = data.get("goods_infos", {})
            
            # 获取指定goods_id的饰品信息
            goods_data = goods_infos.get(str(goods_id))
            if not goods_data:
                logger.warning(f"饰品 {goods_id} 未在响应中找到")
                return None
            
            # 提取tags信息
            tags = goods_data.get("tags", {})
            
            # 构建属性字典
            attr_data = {
                'goods_id': goods_id,
                'name': goods_data.get("name", ""),
                'icon_url': goods_data.get("icon_url"),
                'stat_time': datetime.now(),
                'create_time': datetime.now()
            }
            
            # 映射tags到对应字段
            tag_mapping = {
                'type': ('type', 'type_name'),
                'rarity': ('rarity', 'rarity_name'),
                'category': ('category', 'category_name'),
                'category_group': ('category_group', 'category_group_name'),
                'quality': ('quality', 'quality_name'),
                'exterior': ('exterior', 'exterior_name'),
                'weapon': ('weapon', 'weapon_name'),
                'series': ('series', 'series_name'),
                'custom': ('custom', 'custom_name'),
                'itemset': ('itemset', 'itemset_name')
            }
            
            # 处理每个tag
            for tag_key, (field_key, field_name_key) in tag_mapping.items():
                if tag_key in tags:
                    tag_data = tags[tag_key]
                    attr_data[field_key] = tag_data.get("internal_name")
                    attr_data[field_name_key] = tag_data.get("localized_name")
            
            logger.debug(f"饰品 {goods_id} 属性提取成功")
            return attr_data
            
        except Exception as e:
            logger.error(f"提取饰品 {goods_id} 属性时出错: {e}")
            return None

# ============================================================
# 主逻辑
# ============================================================

class GoodsAttrSyncTask:
    """饰品属性同步任务"""
    
    def __init__(self):
        self.db = GoodsAttrDatabase()
        self.api = BuffGoodsAPI()
    
    def fetch_and_save_goods_attrs(self, goods_ids: List[str]) -> Dict[str, int]:
        """获取并保存饰品属性信息（每次最多 CONCURRENT_WORKERS 个并发请求）"""
        results = {'success': 0, 'failed': 0, 'total': len(goods_ids)}
        batch_attr_data: List[Dict[str, Any]] = []

        def fetch_one(goods_id: str) -> Optional[Dict[str, Any]]:
            try:
                return self.api.fetch_goods_info(goods_id)
            except Exception as e:
                logger.error(f"获取饰品 {goods_id} 属性异常: {e}")
                return None

        with concurrent.futures.ThreadPoolExecutor(max_workers=CONCURRENT_WORKERS) as executor:
            future_to_id = {executor.submit(fetch_one, gid): gid for gid in goods_ids}
            for future in concurrent.futures.as_completed(future_to_id):
                goods_id = future_to_id[future]
                try:
                    attr_data = future.result()
                    if attr_data:
                        batch_attr_data.append(attr_data)
                        logger.info(f"获取饰品 {goods_id} 属性成功")
                    else:
                        results['failed'] += 1
                        logger.warning(f"获取饰品 {goods_id} 属性失败")
                except Exception as e:
                    results['failed'] += 1
                    logger.error(f"获取饰品 {goods_id} 异常: {e}")

        if batch_attr_data:
            saved_count = self.db.batch_insert_goods_attrs(batch_attr_data)
            results['success'] += saved_count
            if saved_count < len(batch_attr_data):
                results['failed'] += len(batch_attr_data) - saved_count

        return results
    
    def run_single_batch(self) -> bool:
        """执行单次批次同步任务"""
        start_time = datetime.now()
        logger.info("=" * 60)
        logger.info(f"开始执行饰品属性同步任务: {start_time}")
        logger.info("=" * 60)
        
        try:
            # 检查数据库连接
            if not self.db.check_connection():
                logger.error("数据库连接不可用，任务中止")
                return False
            
            # Step 1: 获取需要同步的饰品列表
            logger.info("[Step 1/3] 查询需要同步的饰品...")
            goods_list = self.db.get_goods_without_attr(BATCH_SIZE)
            
            if not goods_list:
                logger.info("没有需要同步的饰品，任务结束")
                return True
            
            logger.info(f"找到 {len(goods_list)} 个需要同步的饰品")
            
            # 提取goods_id列表
            goods_ids = [goods['goods_id'] for goods in goods_list]
            
            # Step 2: 获取并保存饰品属性信息
            logger.info("[Step 2/3] 获取并保存饰品属性信息...")
            
            results = self.fetch_and_save_goods_attrs(goods_ids)
            
            # Step 3: 任务完成统计
            end_time = datetime.now()
            duration = (end_time - start_time).total_seconds()
            
            logger.info("=" * 60)
            logger.info(f"饰品属性同步任务完成!")
            logger.info(f"处理饰品总数: {results['total']}")
            logger.info(f"成功获取并保存: {results['success']}")
            logger.info(f"失败: {results['failed']}")
            logger.info(f"耗时: {duration:.2f}秒")
            logger.info("=" * 60)
            
            return results['success'] > 0
            
        except Exception as e:
            logger.exception(f"同步任务失败: {e}")
            return False
    
    def run_continuous(self):
        """连续运行模式，每次执行后随机暂停"""
        execution_count = 0
        
        while True:
            execution_count += 1
            logger.info(f"\n{'='*60}")
            logger.info(f"开始第 {execution_count} 次执行")
            logger.info(f"{'='*60}")
            
            # 执行同步任务
            success = self.run_single_batch()
            
            if success:
                logger.info(f"第 {execution_count} 次执行成功")
            else:
                logger.warning(f"第 {execution_count} 次执行失败")
            
            # 直接进入下一轮，不再等待
    
    def cleanup(self):
        """清理资源"""
        try:
            # 关闭连接池
            DatabaseConnectionPool().close_pool()
            logger.info("资源清理完成")
        except:
            pass

# ============================================================
# 主函数
# ============================================================

def main():
    """主函数"""
    task = None
    try:
        logger.info("启动饰品属性同步脚本（连接池版本）...")
        logger.info(f"配置信息: 每次处理 {BATCH_SIZE} 个饰品, 串行请求每 {REQUEST_INTERVAL} 秒一次, 直连请求")
        
        # 创建任务实例
        task = GoodsAttrSyncTask()
        
        # 运行连续模式
        task.run_continuous()
        
    except KeyboardInterrupt:
        logger.info("\n收到中断信号，正在退出...")
        if task:
            task.cleanup()
        sys.exit(0)
    except Exception as e:
        logger.exception(f"程序运行异常: {e}")
        if task:
            task.cleanup()
        sys.exit(1)


if __name__ == "__main__":
    # 安装依赖提示
    try:
        import dbutils
    except ImportError:
        print("请先安装依赖: pip install DBUtils==3.0.2")
        sys.exit(1)
    
    main()