python/main.py

import requests
import time
from bs4 import BeautifulSoup
from collections import Counter
import openpyxl
import matplotlib.pyplot as plt
from wordcloud import WordCloud
import jieba
import copy
import re

header = {
    'Cookie': "buvid4=45060204-E173-B80C-04C7-11B8D43E872D75556-022101721-m4T90WVXeagV7lXz92ZWuw%3D%3D; DedeUserID=3461571130952367; DedeUserID__ckMd5=b3ea366f0ed87c94; CURRENT_FNVAL=4048; enable_web_push=DISABLE; _uuid=FFC241066-10489-E63A-8A4B-6C217510EACC571042infoc; buvid3=E0F932DB-25F3-EF2A-2629-B756E279809355623infoc; b_nut=1700799855; header_theme_version=CLOSE; rpdid=|(u))kkYu|JJ0J'u~|R~)~|Yu; PVID=1; FEED_LIVE_VERSION=V8; buvid_fp_plain=undefined; CURRENT_QUALITY=0; fingerprint=450dce408658a7f873061345351176c7; buvid_fp=77344ae6cddf7b1d32d0c69bd9a38f80; b_lsid=4D7FCA4C_191DC589C5D; SESSDATA=8840b176%2C1741530686%2C6d032%2A92CjC46834ghJkHd4YjzNOtLiSAgKyx6hzATr7eWbatDJxB8pR708adiIvgr2OqCWEFkASVmluRUljMDZPQWlEMUx2MlVhQkJoanRvR1kxNlZ2M2hjS0hPekFrWGlNZFc2ZWNiWmdrQ0tyaWlkODFyNUp2WDdqc3FSbjUzUEhjNlFBc0U0UGR4a3d3IIEC; bili_jct=80e99b3d5026f86143f072c7e055fed8; sid=gbw623md; bp_t_offset_3461571130952367=975560108564021248; home_feed_column=4; browser_resolution=895-822",
    'user-agent': '12345678zxdcvfbnmdfcsdxaghdnhguiasgck'
    # "Mozilla/5.0 (111Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/128.0.0.0
    # Safari/537.36 Edg/128.0.0.0"

}


# 获取视频的aid列表:
def get_video_aid_list(keyword):
    aid_set = set()
    aid_list = []
    page = 1
    while len(aid_set) < 300:
        url = f"https://api.bilibili.com/x/web-interface/search/all/v2?keyword={keyword}&page={page}"
        response = requests.get(url, headers=header)
        data = response.json()

        for item in data['data']['result']:
            if item['result_type'] == 'video':
                for video in item['data']:
                    if video['aid'] not in aid_set:
                        aid_list.append({
                            'title': video['title'],
                            'aid': video['aid']
                        })
                        aid_set.add(video['aid'])
        page += 1
        time.sleep(0.15)
    return aid_list


# 将aid转换成cid:
def get_cid_by_aid(aid):
    url = f"https://api.bilibili.com/x/web-interface/view?aid={aid}"
    response = requests.get(url, headers=header)
    # print(response.text)
    data = response.json()
    return data['data']['cid']


# 爬取视频的弹幕数据:
def get_danmaku(cid):
    url = f"https://comment.bilibili.com/{cid}.xml"
    response = requests.get(url, headers=header)
    # print(response.text)
    soup = BeautifulSoup(response.content, "xml")
    danmakus = soup.find_all('d')
    return [d.text for d in danmakus]


def crawl_danmaku_data(keyword):
    videos = get_video_aid_list(keyword)
    all_danmakus = []
    for video in videos:
        aid = video['aid']
        title = video['title']
        # print(aid)
        cid = get_cid_by_aid(aid)
        print(f"正在爬取弹幕: {title} (AID: {aid}, CID: {cid})")
        try:
            danmakus = get_danmaku(cid)
            all_danmakus.extend(danmakus)
            # time.sleep(1)
        except Exception as e:
            print(f"获取视频 {title} 的弹幕时出错: {e}")

    wb = openpyxl.Workbook()
    sheet = wb.active
    sheet.title = "Danmakus"
    sheet.append(["弹幕内容"])

    for item in all_danmakus:
        sheet.append([item])

    wb.save('danmakus.xlsx')
      # print(all_danmakus)
      # all_danmakus = all_danmakus[:-1]

    return all_danmakus


ai_keywords = ["ai", "人工智能", "智能", "机器学习", "深度学习", "神经网络", ]


def contains_pattern(text):
    text1 = text.lower()

    # pattern = r'|'.join(re.escape(keyword) for keyword in ai_keywords)
    pattern = r'(?<![a-zA-Z])(?:' + '|'.join(re.escape(keyword) for keyword in ai_keywords) + r')(?![a-zA-Z])'
    if re.search(pattern, text1):
        return True
    else:
        return False


def ai_related_danmakus(danmakus):
    ai_related_danmakus = []

    for danmaku in danmakus:
        if contains_pattern(danmaku):  # 忽略大小写
            ai_related_danmakus.append(danmaku)
        # if contains_pattern(danmaku):
        # print(danmaku)
        # ai_related_danmakus.append(danmaku)
    # print(f"AI 相关弹幕: {ai_related_danmakus}")
    print(ai_related_danmakus)
    # return word_counts.most_common(8)
    return ai_related_danmakus


# 将统计数据写入Excel:
def write_to_excel(data, file_name='ai_related_danmakus.xlsx'):
    wb = openpyxl.Workbook()
    sheet = wb.active
    sheet.title = "AI Related Danmakus"
    sheet.append(["弹幕内容", "出现次数"])

    for item in data:
        sheet.append([item[0], item[1]])

    wb.save(file_name)


# 生成词云：
def generate_wordcloud(data):
    wordcloud_text = ' '.join([item for item in data])  # (data)
    wordcloud = WordCloud(font_path='msyh.ttc', width=800, height=400, background_color='white').generate(
        wordcloud_text)

    plt.figure(figsize=(10, 5))
    plt.imshow(wordcloud, interpolation='bilinear')
    plt.axis('off')
    plt.show()


# 主函数：
if __name__ == "__main__":
    keyword = "2024巴黎奥运会"
    danmakus = crawl_danmaku_data(keyword)
    print(f"共获取到 {len(danmakus)} 条弹幕数据。")

    ai_anmakus = ai_related_danmakus(danmakus)
    top_8_danmakus = Counter(ai_anmakus).most_common(8)
    print("AI相关弹幕排名前8的数据：")
    print(top_8_danmakus)
    write_to_excel(top_8_danmakus)
    generate_wordcloud(ai_anmakus)