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178 lines
6.7 KiB
178 lines
6.7 KiB
# coding=utf-8
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import asyncio
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import re
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from datetime import datetime
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from functools import partial, wraps
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from playwright.async_api import Playwright, Browser, async_playwright
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from abs_spider import AbstractAiSeoSpider
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from domain.ai_seo import AiAnswer, AiSearchResult
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from utils import create_logger
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from glom import glom, Coalesce
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from utils.image_utils import crop_image_left
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logger = create_logger(__name__)
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class YuanBaoSpider(AbstractAiSeoSpider):
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def __init__(self, browser: Browser, prompt: str, keyword: str, think: bool = False):
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super().__init__(browser, prompt, keyword, think)
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self.__listen_response = self.handle_listen_response_error(self.__listen_response)
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def get_home_url(self) -> str:
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return 'https://yuanbao.tencent.com/'
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async def _do_spider(self) -> AiAnswer:
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# 初始化数据
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self._init_data()
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self.is_get_detail = False
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await self.browser_page.goto(self.get_home_url(), timeout=600000)
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await asyncio.sleep(2)
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# 开启深度思考
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if self.think:
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think_button = self.browser_page.locator("//button[@dt-button-id='deep_think']")
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if await think_button.is_visible():
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model_id = await think_button.get_attribute('dt-model-id')
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if not model_id == 'deep_seek':
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await think_button.click()
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await asyncio.sleep(2)
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# 开启联网搜索
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search_button = self.browser_page.locator("//div[@dt-button-id='online_search']")
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if await search_button.is_visible():
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class_str = await search_button.get_attribute('class')
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clazz = class_str.split(' ')
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if 'checked' not in clazz:
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logger.debug('未开启联网搜索')
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await search_button.click()
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await asyncio.sleep(1)
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# 开始操作
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chat_input_element = self.browser_page.locator("//div[contains(@class, 'chat-input-editor')]")
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await chat_input_element.click()
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# 输入提问词
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await self.browser_page.keyboard.type(self.prompt)
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await asyncio.sleep(2)
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await self.browser_page.keyboard.press('Enter')
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# 监听请求
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self.browser_page.on('response', partial(self.__listen_response))
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await self.completed_event.wait()
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# 报错检查
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if self.fail_status:
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raise self.fail_exception
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# 打开联网搜索结果
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search_list_element = self.browser_page.locator("(//div[contains(@data-title, '资料作为参考')])[1]/span")
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if await search_list_element.is_visible():
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await search_list_element.click()
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# 获取回答元素
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answer_element = self.browser_page.locator("//div[@class='agent-chat__list__item__content']").nth(-1)
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box = await answer_element.bounding_box()
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logger.debug(f'answer_element: {box}')
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view_port_height = box['height'] + 500
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# 调整视口大小
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await self.browser_page.set_viewport_size({
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'width': 1920,
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'height': int(view_port_height)
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})
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# 收起侧栏
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# await self.browser_page.locator("//div[@data-desc='fold']").click()
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await asyncio.sleep(2)
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# 截图
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screenshot_path = self._get_screenshot_path()
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await self.browser_page.screenshot(path=screenshot_path)
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crop_image_left(screenshot_path, 260)
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self.ai_answer.screenshot_file = screenshot_path
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return self.ai_answer
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async def __listen_response(self, response):
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if '/agent/conversation/v1/detail' not in response.url or self.is_get_detail:
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return
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json_data = await response.json()
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# 取值key
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if not json_data['convs']:
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return
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convs = json_data['convs']
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content = {}
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for conv in convs:
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key = 'speechesV2.0.content'
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content = glom(conv, key, default=[])
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if len(content) > 1:
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break
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# 循环获取content中的内容
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search_list = None
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think = None
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text = None
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for item in content:
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if item['type'] == 'text':
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text = item.get('msg', '')
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elif item['type'] == 'searchGuid':
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search_list = item.get('docs', [])
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elif item['type'] == 'think':
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think = item.get('content', '')
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logger.debug(f'ai回复内容: {text}')
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ai_search_result_list = []
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self.ai_answer.answer = text
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if search_list:
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# pattern = r'\[\^(\d+)\]'
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pattern = r'citation:(\d+)'
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index_data = list(set(re.findall(pattern, self.ai_answer.answer)))
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for index,search_result in enumerate(search_list):
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if str(index+1) in index_data:
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ai_search_result_list.append(
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AiSearchResult(
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title=search_result.get('title', ''),
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url=search_result.get('url', ''),
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host_name=search_result.get('web_site_name', ''),
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body=search_result.get('quote', ''),
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publish_time=search_result.get('publish_time', 0),
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is_referenced = "1"
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)
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)
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else:
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ai_search_result_list.append(
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AiSearchResult(
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title=search_result.get('title', ''),
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url=search_result.get('url', ''),
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host_name=search_result.get('web_site_name', ''),
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body=search_result.get('quote', ''),
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publish_time=search_result.get('publish_time', 0),
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is_referenced = "0"
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)
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)
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logger.debug(f'ai参考资料: {search_list}')
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self.ai_answer.search_result = ai_search_result_list
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self.is_get_detail = True
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self.completed_event.set()
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def handle_listen_response_error(self, func):
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"""
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装饰器 用于处理请求回调中的异常
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:param func:
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:return:
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"""
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@wraps(func)
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async def wrapper(*args, **kwargs):
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try:
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return await func(*args, **kwargs)
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except Exception as e:
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logger.error(f"{self.get_platform_name()}响应异常: {e}", exc_info=True)
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# 标记失败状态 记录异常
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self.fail_status = True
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self.fail_exception = e
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self.completed_event.set()
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return wrapper
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def get_platform_id(self) -> int:
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return 3
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def get_platform_name(self) -> str:
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return 'YuanBao'
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