# -*- coding: utf-8 -*- import re import json import html from typing import List, Dict, Tuple from parsel import Selector from model.m_baidu_tieba import TiebaNote, TiebaComment from constant import baidu_tieba as const from tools import utils class TieBaExtractor: def __init__(self): pass @staticmethod def extract_search_note_list(page_content: str) -> List[TiebaNote]: """ 提取贴吧帖子列表，这里提取的关键词搜索结果页的数据，还缺少帖子的回复数和回复页等数据 Args: page_content: 页面内容的HTML字符串 Returns: 包含帖子信息的字典列表 """ xpath_selector = "//div[@class='s_post']" post_list = Selector(text=page_content).xpath(xpath_selector) result: List[TiebaNote] = [] for post in post_list: tieba_note = TiebaNote( note_id=post.xpath(".//span[@class='p_title']/a/@data-tid").get(default='').strip(), title=post.xpath(".//span[@class='p_title']/a/text()").get(default='').strip(), desc=post.xpath(".//div[@class='p_content']/text()").get(default='').strip(), note_url=const.TIEBA_URL + post.xpath(".//span[@class='p_title']/a/@href").get(default=''), user_nickname=post.xpath(".//a[starts-with(@href, '/home/main')]/font/text()").get(default='').strip(), user_link=const.TIEBA_URL + post.xpath(".//a[starts-with(@href, '/home/main')]/@href").get(default=''), tieba_name=post.xpath(".//a[@class='p_forum']/font/text()").get(default='').strip(), tieba_link=const.TIEBA_URL + post.xpath(".//a[@class='p_forum']/@href").get(default=''), publish_time=post.xpath(".//font[@class='p_green p_date']/text()").get(default='').strip(), ) result.append(tieba_note) return result def extract_note_detail(self, page_content: str) -> TiebaNote: """ 提取贴吧帖子详情 Args: page_content: Returns: """ content_selector = Selector(text=page_content) first_floor_selector = content_selector.xpath("//div[@class='p_postlist'][1]") only_view_author_link = content_selector.xpath("//*[@id='lzonly_cntn']/@href").get(default='').strip() note_id = only_view_author_link.split("?")[0].split("/")[-1] # 帖子回复数、回复页数 thread_num_infos = content_selector.xpath( "//div[@id='thread_theme_5']//li[@class='l_reply_num']//span[@class='red']" ) # IP地理位置、发表时间 other_info_content = content_selector.xpath(".//div[@class='post-tail-wrap']").get(default="").strip() ip_location, publish_time = self.extract_ip_and_pub_time(other_info_content) note = TiebaNote( note_id=note_id, title=content_selector.xpath("//title/text()").get(default='').strip(), desc=content_selector.xpath("//meta[@name='description']/@content").get(default='').strip(), note_url=const.TIEBA_URL + f"/p/{note_id}", user_link=const.TIEBA_URL + first_floor_selector.xpath(".//a[@class='p_author_face ']/@href").get( default='').strip(), user_nickname=first_floor_selector.xpath(".//a[@class='p_author_name j_user_card']/text()").get( default='').strip(), user_avatar=first_floor_selector.xpath(".//a[@class='p_author_face ']/img/@src").get(default='').strip(), tieba_name=content_selector.xpath("//a[@class='card_title_fname']/text()").get(default='').strip(), tieba_link=const.TIEBA_URL + content_selector.xpath("//a[@class='card_title_fname']/@href").get(default=''), ip_location=ip_location, publish_time=publish_time, total_replay_num=thread_num_infos[0].xpath("./text()").get(default='').strip(), total_replay_page=thread_num_infos[1].xpath("./text()").get(default='').strip(), ) note.title = note.title.replace(f"【{note.tieba_name}】_百度贴吧", "") return note def extract_tieba_note_parment_comments(self, page_content: str, note_id: str) -> List[TiebaComment]: """ 提取贴吧帖子一级评论 Args: page_content: note_id: Returns: """ xpath_selector = "//div[@class='l_post l_post_bright j_l_post clearfix ']" comment_list = Selector(text=page_content).xpath(xpath_selector) result: List[TiebaComment] = [] for comment_selector in comment_list: comment_field_value: Dict = self.extract_data_field_value(comment_selector) if not comment_field_value: continue other_info_content = comment_selector.xpath(".//div[@class='post-tail-wrap']").get(default="").strip() ip_location, publish_time = self.extract_ip_and_pub_time(other_info_content) tieba_comment = TiebaComment( comment_id=str(comment_field_value.get("content").get("post_id")), sub_comment_count=comment_field_value.get("content").get("comment_num"), content=utils.extract_text_from_html(comment_field_value.get("content").get("content")), note_url=const.TIEBA_URL + f"/p/{note_id}", user_link=const.TIEBA_URL + comment_selector.xpath(".//a[@class='p_author_face ']/@href").get(default='').strip(), user_nickname=comment_selector.xpath(".//a[@class='p_author_name j_user_card']/text()").get( default='').strip(), user_avatar=comment_selector.xpath(".//a[@class='p_author_face ']/img/@src").get( default='').strip(), tieba_name=comment_selector.xpath("//a[@class='card_title_fname']/text()").get(default='').strip(), ip_location=ip_location, publish_time=publish_time, note_id=note_id, ) result.append(tieba_comment) return result @staticmethod def extract_ip_and_pub_time(html_content: str) -> Tuple[str, str]: """ 提取IP位置和发布时间 Args: html_content: Returns: """ pattern_ip = re.compile(r'IP属地:(\S+)') pattern_pub_time = re.compile(r'(\d{4}-\d{2}-\d{2} \d{2}:\d{2})') ip_match = pattern_ip.search(html_content) time_match = pattern_pub_time.search(html_content) ip = ip_match.group(1) if ip_match else "" pub_time = time_match.group(1) if time_match else "" return ip, pub_time @staticmethod def extract_data_field_value(selector: Selector) -> Dict: """ 提取data-field的值 Args: selector: Returns: """ data_field_value = selector.xpath("./@data-field").get(default='').strip() if not data_field_value or data_field_value == "{}": return {} try: # 先使用 html.unescape 处理转义字符 再json.loads 将 JSON 字符串转换为 Python 字典 unescaped_json_str = html.unescape(data_field_value) data_field_dict_value = json.loads(unescaped_json_str) except Exception as ex: print(f"extract_data_field_value，错误信息：{ex}, 尝试使用其他方式解析") data_field_dict_value = {} return data_field_dict_value def test_extract_search_note_list(): with open("test_data/search_keyword_notes.html", "r", encoding="utf-8") as f: content = f.read() extractor = TieBaExtractor() result = extractor.extract_search_note_list(content) print(result) def test_extract_note_detail(): with open("test_data/note_detail.html", "r", encoding="utf-8") as f: content = f.read() extractor = TieBaExtractor() result = extractor.extract_note_detail(content) print(result.model_dump()) def test_extract_tieba_note_parment_comments(): with open("test_data/note_comments.html", "r", encoding="utf-8") as f: content = f.read() extractor = TieBaExtractor() result = extractor.extract_tieba_note_parment_comments(content, "123456") print(result) if __name__ == '__main__': # test_extract_search_note_list() # test_extract_note_detail() test_extract_tieba_note_parment_comments()