MediaCrawler/media_platform/tieba/help.py

147 lines
6.3 KiB
Python

# -*- coding: utf-8 -*-
import re
from typing import List, Dict, Tuple
from parsel import Selector
from model.m_baidu_tieba import TiebaNote
from constant import baidu_tieba as const
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
@staticmethod
def extract_tieba_note_comments(page_content: str) -> List[Dict]:
"""
提取贴吧帖子评论
Args:
page_content:
Returns:
"""
xpath_selector = "//div[@id='j_p_postlist']/div[@class='l_post l_post_bright j_l_post clearfix']"
comment_list = Selector(text=page_content).xpath(xpath_selector)
result = []
for comment in comment_list:
comment_id = comment.xpath(".//@data-pid").get(default='').strip()
author = comment.xpath(".//a[@data-field]/text()").get(default='').strip()
author_link = comment.xpath(".//a[@data-field]/@href").get(default='')
content = comment.xpath(".//div[@class='d_post_content j_d_post_content ']/text()").get(default='').strip()
date = comment.xpath(".//span[@class='tail-info']/text()").get(default='').strip()
result.append({
"comment_id": comment_id,
"author": author,
"author_link": author_link,
"content": content,
"time": date,
})
@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+)</span>')
pattern_pub_time = re.compile(r'<span class="tail-info">(\d{4}-\d{2}-\d{2} \d{2}:\d{2})</span>')
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
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())
if __name__ == '__main__':
test_extract_search_note_list()
test_extract_note_detail()