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