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sjk
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
任务执行器模块
提供广告点击任务的执行能力,包括:
- 浏览器环境创建
- 单个任务执行
- 批量任务调度
"""
from loguru import logger
from adspower_client import AdsPowerClient
from ad_automation import MIPAdAutomation
from config import Config
from data_manager import DataManager
import time
import threading
from datetime import datetime
from pathlib import Path
from typing import List, Dict, Optional
class TaskExecutor:
"""
任务执行器
负责执行单个或批量广告点击任务。
支持代理配置、浏览器环境管理、任务结果追踪。
"""
_browser_start_lock = threading.Lock()
def __init__(self, max_workers: int = 1, use_proxy: bool = True):
"""
初始化任务执行器
Args:
max_workers: 最大并发数1=串行,>1=并发)
use_proxy: 是否使用代理
"""
self.max_workers = max_workers
self.use_proxy = use_proxy
self.client = AdsPowerClient()
self.dm = DataManager()
# 创建截图目录(按日期组织)
timestamp = datetime.now().strftime('%Y%m%d')
self.screenshot_dir = Path("./test") / f"batch_{timestamp}"
self.screenshot_dir.mkdir(parents=True, exist_ok=True)
logger.debug(f"TaskExecutor initialized: workers={max_workers}, proxy={use_proxy}")
def create_browser_profile(self, index: int) -> Optional[Dict]:
"""
创建浏览器环境
Args:
index: 环境编号
Returns:
环境信息字典失败返回None
"""
try:
# 获取分组ID
group_id = self.client.get_group_by_env()
time.sleep(0.5)
# 如果使用代理,获取代理配置
proxy_config = {}
proxy_id = None
proxy_info = None
if self.use_proxy:
logger.info(f"[环境 {index}] 获取代理IP...")
proxy_info = self.client.get_damai_proxy()
time.sleep(0.5)
if proxy_info:
logger.info(f"[环境 {index}] 代理IP: {proxy_info['host']}:{proxy_info['port']}")
proxy_data = {
"type": "http",
"host": proxy_info["host"],
"port": proxy_info["port"],
"user": self.client.DAMAI_USER,
"password": self.client.DAMAI_PASSWORD,
"remark": f"任务代理_{index}"
}
proxy_id = self.client.create_proxy(proxy_data)
time.sleep(0.5)
if proxy_id:
logger.info(f"[环境 {index}] 创建代理: {proxy_id}")
proxy_config = {"proxyid": proxy_id}
# 根据环境变量决定操作系统
os_type = "Linux" if Config.ENV == "production" else "Windows"
profile_data = {
"name": f"任务_{index}_{datetime.now().strftime('%H%M%S')}",
"group_id": str(group_id) if group_id else "0",
"platform": "health.baidu.com",
"repeat_config": [],
"ignore_cookie_error": "1",
"country": "cn",
"city": "beijing",
"remark": f"任务环境 #{index}",
"fingerprint_config": {
"automatic_timezone": "1",
"flash": "block",
"scan_port_type": "1",
"location": "ask",
"location_switch": "1",
"canvas": "0",
"webgl": "0",
"audio": "0",
"webrtc": "local",
"do_not_track": "true",
"hardware_concurrency": "default",
"device_memory": "default",
"gpu": "2",
"mac_address_config": {
"model": "1",
"address": ""
},
"browser_kernel_config": {
"version": "latest",
"type": "chrome"
},
"random_ua": {
"ua_system_version": [os_type]
}
}
}
logger.debug(f"[环境 {index}] 操作系统: {os_type} (ENV={Config.ENV})")
if proxy_config:
profile_data.update(proxy_config)
response = self.client._make_request(
'POST',
'/api/v2/browser-profile/create',
json=profile_data
)
if response and response.get('code') == 0:
profile_id = response.get('data', {}).get('profile_id')
logger.info(f"✅ 创建环境 #{index}: {profile_id}")
return {
'index': index,
'profile_id': profile_id,
'name': profile_data['name'],
'proxy': proxy_info,
'proxy_id': proxy_id
}
else:
logger.error(f"❌ 创建环境 #{index} 失败: {response}")
return None
except Exception as e:
logger.error(f"❌ 创建环境 #{index} 异常: {str(e)}")
return None
def execute_single_task(self, site_info: Dict, task_index: int, profile_id: str = None) -> Dict:
"""
执行单个点击任务
Args:
site_info: 站点信息
task_index: 任务编号
profile_id: 已创建的Profile ID可选
Returns:
执行结果字典
"""
# 设置线程名称
threading.current_thread().name = f"Task-{task_index}"
site_id = site_info.get('id')
site_url = site_info.get('site_url', site_info.get('url'))
result = {
'task_index': task_index,
'site_id': site_id,
'site_url': site_url,
'success': False,
'click_count': 0,
'has_ad': False,
'has_reply': False,
'error': None
}
# 创建任务目录
timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
task_folder = self.screenshot_dir / f"task_{task_index}_{timestamp}"
task_folder.mkdir(exist_ok=True)
# 每个线程创建自己的客户端实例
client = AdsPowerClient()
try:
logger.info(f"[任务 {task_index}] 开始执行: {site_url}")
# 如果没有传入profile_id则创建新的
if not profile_id:
profiles_data = client.list_profiles()
if not profiles_data:
result['error'] = "获取Profile列表失败"
return result
profiles = profiles_data.get('data', {}).get('list', [])
if not profiles:
result['error'] = "没有可用的Profile"
return result
profile_id = profiles[0].get('profile_id')
logger.info(f"[任务 {task_index}] 使用Profile: {profile_id}")
# 使用锁控制浏览器启动
with self._browser_start_lock:
logger.debug(f"[任务 {task_index}] 启动浏览器...")
browser_info = client.start_browser(user_id=profile_id)
if not browser_info:
result['error'] = "启动浏览器失败"
return result
time.sleep(1.5)
time.sleep(1)
# 连接浏览器
browser = client.connect_browser(browser_info)
if not browser:
result['error'] = "CDP连接失败"
return result
# 获取页面
context = browser.contexts[0]
all_pages = context.pages
logger.debug(f"[任务 {task_index}] 当前标签页数: {len(all_pages)}")
# 关闭AdsPower启动页
for p in all_pages:
try:
if 'start.adspower.net' in p.url:
p.close()
except:
pass
# 获取或创建页面
remaining_pages = context.pages
page = remaining_pages[0] if remaining_pages else context.new_page()
# 执行广告点击和消息发送流程
logger.info(f"[任务 {task_index}] 开始执行广告点击和咨询流程...")
automation = MIPAdAutomation(page, task_index=task_index)
click_success, has_reply = automation.check_and_click_ad(
url=site_url,
site_id=site_id
)
if click_success:
result['success'] = True
result['click_count'] = 1
result['has_ad'] = True
result['has_reply'] = has_reply
logger.info(f"[任务 {task_index}] ✅ 任务完成: 点击成功={click_success}, 收到回复={has_reply}")
else:
result['error'] = "广告点击失败"
logger.warning(f"[任务 {task_index}] ❌ 广告点击失败")
# 关闭浏览器
try:
if browser:
browser.close()
time.sleep(0.5)
except:
pass
# 停止浏览器
try:
client.stop_browser(user_id=profile_id)
logger.debug(f"[任务 {task_index}] 浏览器已关闭")
time.sleep(1)
except Exception as e:
logger.warning(f"[任务 {task_index}] 停止浏览器失败: {str(e)}")
# 删除浏览器Profile释放资源
try:
logger.debug(f"[任务 {task_index}] 删除浏览器Profile: {profile_id}")
client.delete_profile(profile_id)
except Exception as e:
logger.warning(f"[任务 {task_index}] 删除Profile异常: {str(e)}")
except Exception as e:
logger.error(f"[任务 {task_index}] 执行异常: {str(e)}")
result['error'] = str(e)
import traceback
traceback.print_exc()
return result