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Delete 'MyBullet.py'

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pks3rafu8 2 months ago
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MyBullet.py
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import re
import requests
from bs4 import BeautifulSoup
from collections import Counter
import pandas as pd
import time
# 定义需要爬取的视频数量和搜索内容
BV_NUM = 100 # 需要获取的视频数量
SEARCH_CONTENT = "吉伊卡哇chiikawa" # 搜索关键词
# 请求头，防止反爬
HEADERS = {
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36 Edg/126.0.0.0',
"Referer": "https://search.bilibili.com/all?"
}
# 根据搜索关键词，爬取指定数量的视频BVID
def get_bv(num):
"""
参数： num: 需要获取的BVID数量
返回值： bv_list, 一个包含视频BVID的集合
"""
bv_list = set() # 使用集合存储获取的BVID，以去重
page = 1 # 初始化页码
while len(bv_list) < num:
# 构造搜索页面的URL
search_url = f"https://search.bilibili.com/all?keyword={SEARCH_CONTENT}&page={page}"
response = requests.get(search_url, headers=HEADERS)
# 使用正则表达式提取BVID
pattern = re.compile(r'aid:.*?bvid:"(?P<bvs>.*?)",')
matches = pattern.finditer(response.text)
# 将BVID加入集合
for match in matches:
bv_list.add(match.group("bvs"))
# 如果达到了指定数量，直接返回结果
if len(bv_list) >= num:
return bv_list
# 增加页码，继续爬取下一页
page += 1
return bv_list
# 通过bv号获取视频cid，进一步获取弹幕内容
def fetch_bullet_screen(bv_list):
"""
参数 bv_list: 包含BV号的列表
返回值: 弹幕内容列表
"""
my_bullet = [] # 存放所有弹幕的列表
for bv in bv_list:
cid_url = f"https://api.bilibili.com/x/player/pagelist?bvid={bv}&jsonp=jsonp"
response_cid = requests.get(cid_url, headers=HEADERS)
response_cid_json = response_cid.json()
# 获取视频的cid
cid = response_cid_json.get("data", [{}])[0].get("cid")
if not cid:
print(f"无法获取 {bv} 的cid")
continue
# 获取对应cid的弹幕内容
response_bullet = requests.get(f"https://comment.bilibili.com/{cid}.xml", headers=HEADERS)
response_bullet.encoding = "utf-8"
# 解析XML格式的弹幕数据
soup = BeautifulSoup(response_bullet.text, "xml")
danmus = soup.find_all("d")
# 将弹幕内容添加到列表中
my_bullet.extend([danmu.text for danmu in danmus])
print(f"已成功爬取 {bv} 的弹幕")
return my_bullet
# 分析弹幕内容，提取包含AI相关词语的完整句子
def analyze_bullet_screen_with_ai_sentences(my_bullet , ai_keywords):
"""
参数1： my_bullet: 弹幕内容列表
参数2： ai_keywords:关键词
返回值: 包含AI关键词的完整句子列表
返回值: 包含AI关键词的列表
返回值: 关键词统计
"""
ai_sentences = [] # 包含关键词的完整句子
keyword_only_sentences = [] # 只包含关键词的句子
keyword_counts = Counter() # 计数器，用于统计每个关键词的频次
for bullet in my_bullet:
contains_keyword = False
for keyword in ai_keywords:
if keyword in bullet:
contains_keyword = True
ai_sentences.append(bullet)
keyword_only_sentences.append(keyword)
keyword_counts[keyword] += 1 # 更新关键词计数
if contains_keyword:
# 只保留包含的关键词
keywords_in_bullet = [keyword for keyword in ai_keywords if keyword in bullet]
return ai_sentences, keyword_only_sentences, keyword_counts
# 将关键词统计信息保存到Excel文件
def save_keyword_counts_to_excel(keyword_counts, path='./Chiikawa/keyword_counts.xlsx'):
"""
参数1: keyword_counts: Counter对象，包含每个关键词及其出现次数
参数2: path: Excel文件名
"""
counts_df = pd.DataFrame(keyword_counts.items(), columns=["关键词", "出现次数"])
# 按出现次数排序，从高到低
counts_df.sort_values(by='出现次数', ascending=False, inplace=True)
counts_df.to_excel(path, index=False)
print(f"关键词统计已保存到 {path}")
# 将包含AI关键词的句子保存到Excel文件
def save_sentences_to_excel(ai_sentences, keyword_only_sentences,path1='./Chiikawa/sentences.xlsx',path2='./Chiikawa/keyword_only_sentences.xlsx',choose1=True ,choose2=True):
"""
参数1: ai_sentences: 包含AI关键词的句子列表
参数2: keyword_only_sentences: 只包含AI关键字的列表
参数3: path1: Excel文件名,保存AI关键词句子列表
参数4: path2: Excel文件名,保存AI关键词
参数5: choose1: 是否保存path1
参数6: choose2: 是否保存path2
"""
if(choose1):
ai_df = pd.DataFrame(ai_sentences, columns=["包含关键词的弹幕"])
ai_df.to_excel(path1, index=False)
if(choose2):
keyword_only_df = pd.DataFrame(keyword_only_sentences, columns=["关键词"])
keyword_only_df.to_excel(path2, index=False)
print(f"包含关键词的弹幕句子已保存到 {path1}")
print(f"只包含关键词的句子已保存到 {path2}")
def main_bullet():
bv_list = get_bv(BV_NUM)
# print(bv_list)
bullet_screens = fetch_bullet_screen(bv_list)
print(f"获取了 {len(bullet_screens)} 条弹幕")
ai_keywords = [
"537", "小八", "乌萨奇", "吉伊",'飞鼠','手工凯','可爱','呀哈'
]
ai_sentences, keyword_only_sentences, keyword_counts = analyze_bullet_screen_with_ai_sentences(bullet_screens, ai_keywords)
print(f"提取了 {len(ai_sentences)} 条包含相关关键词的弹幕")
save_sentences_to_excel(ai_sentences, keyword_only_sentences, choose2 = False)
save_keyword_counts_to_excel(keyword_counts)
if __name__ == '__main__':
main_bullet()
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