diff --git a/all_func_in_one.py b/all_func_in_one.py
new file mode 100644
index 0000000..4b61954
--- /dev/null
+++ b/all_func_in_one.py
@@ -0,0 +1,192 @@
+import requests
+from bs4 import BeautifulSoup
+import time
+import random
+import openpyxl
+from collections import Counter
+import jieba
+import wordcloud
+
+
+headers = {
+    'Connection': 'keep-alive',
+    'Cache-Control': 'max-age=0',
+    'DNT': '1',
+    'Upgrade-Insecure-Requests': '1',
+    'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/82.0.4083.0 Safari/537.36 Edg/82.0.458.0',
+    'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
+    'Sec-Fetch-Site': 'none',
+    'Sec-Fetch-Mode': 'navigate',
+    'Sec-Fetch-User': '?1',
+    'Sec-Fetch-Dest': 'document',
+    'Accept-Language': 'en-US,en;q=0.9'
+}
+def get_video_ids(api_urls):
+    video_ids=[]
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36 Edg/127.0.0.0',
+        'cookie' : 'BIDUPSID=B217BCFBC37D845BE7576B36283B7200; PSTM=1694936551; BAIDUID_BFESS=B217BCFBC37D845B41B0963C72424B9E:FG=1; ZFY=8a5uERFpWfnCU59:Bf7xfjug61O89yJEG1n4GF:BPaY1c:C; BDRCVFR[bPTzwF-RsLY]=mk3SLVN4HKm; H_PS_PSSID=60724_60360_60799; BD_HOME=1; BD_UPN=12314753; BA_HECTOR=058ka00hahalak0gak21a1akapkf6v1jelat81u'
+    }
+#获取前300个热门视频bvid并保存
+    # 设定计数器记录id的个数
+    cnt = 0
+    # 从多页数据中获取视频信息
+    for page in range(1, 22):
+        # 执行翻页操作
+        api_url = api_urls + str(page)
+        # 获取Datas
+        response = requests.get(api_url, headers=headers)
+        response.encoding = 'utf-8'
+        Json = response.json()
+        Datas = Json['data']['result']
+        for Data in Datas:
+            # 通过try except跳过B站设置的断点
+            try:
+                bvids = Data['bvid']
+                video_ids.append(bvids)
+                with open("bv.txt", mode='a', encoding='utf-8') as f:  # 执行写入操作
+                    f.write(bvids + '\n')
+                cnt += 1
+                if (cnt >= 300):
+                    break
+            except:
+                continue
+        if (cnt >= 300):
+            break
+        # print(bvids)
+
+    return video_ids
+
+
+# API URLs
+api_urls = 'https://api.bilibili.com/x/web-interface/search/type?search_type=video&keyword=巴黎奥运会&page='
+
+video_ids = get_video_ids(api_urls)
+#从bvid获取单个cid的方法
+def get_cid_from_bv(bv_number, p_number=0):
+    try:
+        url = 'https://api.bilibili.com/x/player/pagelist?bvid={}&jsonp=jsonp'
+        response = requests.get(url.format(bv_number), headers=headers)
+
+        if response.status_code == 200:
+            data = response.json()['data']
+
+            if p_number < len(data):
+                return data[p_number]['cid']
+            else:
+                print(f'Error: Part number out of range for BV code {bv_number}.')
+                return None
+        else:
+            print(f'Error: Failed to retrieve CID for BV code {bv_number}. Status code: {response.status_code}')
+            return None
+
+    except Exception as e:
+        print(f'Error: {str(e)} for BV code {bv_number}.')
+        return None
+
+#批量转换bvid到cid
+def get_cids_from_bv_list(video_ids):
+    cid_list = []
+    for bv_code in video_ids:
+        cid = get_cid_from_bv(bv_code)
+        if cid is not None:
+            cid_list.append(cid)
+        else:
+            cid_list.append(None)
+    return cid_list
+
+cids = get_cids_from_bv_list(video_ids)
+
+print(f'The corresponding CIDs for the provided BV codes are: {cids}')
+
+#通过cid批量获取弹幕链接
+def get_danmu(cids):
+    url = f'https://api.bilibili.com/x/v1/dm/list.so?oid={cids}'
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'
+    }
+    response = requests.get(url, headers=headers)
+    response.encoding = 'utf-8'
+    soup = BeautifulSoup(response.text, 'html.parser')
+    danmu_list = []
+    for danmu in soup.find_all('d'):
+        danmu_list.append(danmu.text)
+    return danmu_list
+
+# 批量爬取弹幕
+with open('all_danmu.txt', 'w', encoding='utf-8') as f:
+    for video_id in cids:
+        danmu_list = get_danmu(video_id)
+        print(f'视频 {video_id} 的弹幕数量: {len(danmu_list)}')
+
+        # 写入当前视频的弹幕到文件
+        f.write(f'== 开始保存视频 {video_id} 的弹幕 ==\n')
+        f.write('\n'.join(danmu_list) + '\n')
+
+        # 随机休眠1-3秒,防止被ban
+        time.sleep(random.uniform(1, 3))
+
+print('所有视频的弹幕已保存到 all_danmu.txt 文件中')
+
+
+
+
+
+# 1. 读取弹幕数据文件
+filename = 'all_danmu.txt'
+
+with open(filename, 'r', encoding='utf-8') as f:
+    danmus = f.readlines()
+
+# 2. 过滤与AI技术相关的弹幕
+ai_keywords = ['AI', '人工智能']
+ai_related_danmus = [danmu for danmu in danmus if any(keyword in danmu for keyword in ai_keywords)]
+
+# 3. 统计每种弹幕数量
+danmu_counter = Counter(ai_related_danmus)
+
+# 4. 获取数量排名前8的弹幕
+top_danmus = danmu_counter.most_common(8)
+
+# 5. 将统计结果写入Excel表
+excel_filename = 'AI相关弹幕统计.xlsx'
+wb = openpyxl.Workbook()
+sheet = wb.active
+sheet.title = 'AI相关弹幕统计'
+
+sheet['A1'] = '弹幕内容'
+sheet['B1'] = '出现次数'
+
+# 写入前8的弹幕和次数
+for idx, (danmu, count) in enumerate(top_danmus, start=2):
+    sheet[f'A{idx}'] = danmu.strip()  # 去除弹幕末尾的换行符
+    sheet[f'B{idx}'] = count
+
+# 保存Excel文件
+wb.save(excel_filename)
+print(f'AI相关弹幕统计已保存到 {excel_filename}')
+
+
+# 读取弹幕数据文件
+filename = 'all_danmu.txt'
+
+with open(filename, 'r', encoding='utf-8') as f:
+    text = f.read()
+
+# 使用 jieba 分词
+word_list = jieba.lcut(text)
+text_str = ' '.join(word_list)
+
+# 生成词云
+wc = wordcloud.WordCloud(font_path='C:/Windows/Fonts/微软雅黑/msyh.ttc',  # 指定中文字体文件
+               width=800, height=600,  # 设置词云大小
+               background_color='white',  # 设置背景颜色
+               stopwords={'哈哈','哈哈哈','的','是','了','我','和','这','也','你','啊','吧','就是','这个','吗','他','不是','真的','都','在','现在','感觉','看','有','不'},
+               contour_width=1, contour_color='blue')
+wc.generate(text_str)
+
+# 保存词云图到当前文件夹
+
+wc.to_file('wordcloud.png')
+
+