151 lines
5.3 KiB
Python
151 lines
5.3 KiB
Python
import re
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import jieba
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import jieba.posseg as pseg
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import wordcloud
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import imageio
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import telegram
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import time
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import os
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import connector
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from config import TOKEN
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bot = telegram.Bot(token=TOKEN)
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mk = imageio.imread("/root/word_cloud_bot/circle.png")
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# 构建并配置词云对象w，注意要加scale参数，提高清晰度
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w = wordcloud.WordCloud(width=800,
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height=800,
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background_color='white',
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font_path='/root/word_cloud_bot/font.ttf',
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mask=mk,
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scale=5)
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def do_task():
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try:
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r = connector.get_connection()
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key_list = r.keys()
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group_list = []
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for i in key_list:
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if "chat_content" in i:
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group_list.append(i[:i.find("_")])
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# print(group_list)
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for group in group_list:
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try:
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generate(group)
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except Exception as e:
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print("群组：{} | 词云数据分析生成失败，请查看报错信息".format(group))
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print(e)
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continue
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except Exception as e:
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print("数据库连接失败，请查看报错信息")
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print(e)
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def generate(group):
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r = connector.get_connection()
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print("当前处理的群组：" + str(group))
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start_time = float(time.time())
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# 生成词云图片
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jieba.enable_paddle() # 启动paddle模式。 0.40版之后开始支持，早期版本不支持
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words = pseg.cut(r.get("{}_chat_content".format(group)), use_paddle=True) # paddle模式
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word_list = []
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for word, flag in words:
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# print(word + "\t" + flag)
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if flag in ["n", "nr", "nz", "PER", "f", "ns", "LOC", "s", "nt", "ORG", "nw"]:
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# 判断该词是否有效，不为空格
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if re.match(r"^\s+?$", word) is None:
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word_list.append(word)
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# print(word_list)
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# 分析高频词
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word_amount = {}
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# print(word_amount)
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for word in word_list:
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if re.search(
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r"[。|，|、|？|！|,|.|!|?|\\|/|+|\-|`|~|·|@|#|￥|$|%|^|&|*|(|)|;|；|‘|’|“|”|'|_|=|\"]",
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word) is not None:
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continue
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# 判断该词是否之前已经出现
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if word_amount.get(word) is not None:
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word_amount[word] = word_amount.get(word) + 1
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else:
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word_amount[word] = 1
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# print(word_amount)
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word_amount = sorted(word_amount.items(), key=lambda kv: (kv[1]), reverse=True)
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# print("排序后的热词：" + str(word_amount))
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hot_word_string = ""
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# 默认展示前5位，少于5个则全部展示
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for i in range(min(5, len(word_amount))):
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hot_word_string += "\t\t\t\t\t\t\t\t" + "`" + str(word_amount[i][0]) + "`" + ": " + str(
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word_amount[i][1]) + "\n"
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# print(hot_word_string)
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# 获取消息总数
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total_message_amount = r.get("{}_total_message_amount".format(group))
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# print("总发言数: " + total_message_amount)
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# 获取发言用户数
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user_amount = len(r.hkeys("{}_user_message_amount".format(group)))
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# 获取所有用户发言数字典
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user_message_amount = r.hgetall("{}_user_message_amount".format(group))
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user_message_amount = sorted(user_message_amount.items(), key=lambda kv: (kv[1]), reverse=True)
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# print("排序后的用户：" + str(user_message_amount))
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top_5_user = ""
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# 默认展示前5位，少于5个则全部展示
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for i in range(min(5, len(user_message_amount))):
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top_5_user += "\t\t\t\t\t\t\t\t" + "🎖`" + str(user_message_amount[i][0]) + "`" + " 贡献: " + str(
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user_message_amount[i][1]) + "\n"
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# print(top_5_user)
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string = " ".join(word_list)
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# 将string变量传入w的generate()方法，给词云输入文字
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w.generate(string)
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# 将词云图片导出到当前文件夹
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w.to_file('{}_chat_word_cloud.png'.format(group))
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bot.send_message(
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chat_id=group,
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text="🎤 今日话题榜 🎤\n"
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"📅 {}\n"
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"⏱ 截至今天{}\n"
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"🗣️ 本群{}位朋友共产生{}条发言\n"
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"🤹 大家今天讨论最多的是：\n\n"
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"{}\n"
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"看下有没有你感兴趣的话题? 👏".format(
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time.strftime("%Y年%m月%d日", time.localtime()),
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time.strftime("%H:%M", time.localtime()),
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user_amount,
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total_message_amount,
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hot_word_string),
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parse_mode="Markdown"
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)
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bot.send_message(
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chat_id=group,
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text="🏵 今日活跃用户排行榜 🏵\n"
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"📅 {}\n"
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"⏱ 截至今天{}\n\n"
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"{}\n"
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"感谢这些朋友今天的分享! 👏 \n"
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"遇到问题,向他们请教说不定有惊喜😃".format(
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time.strftime("%Y年%m月%d日", time.localtime()),
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time.strftime("%H:%M", time.localtime()),
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top_5_user),
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parse_mode="Markdown"
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)
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bot.send_photo(
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chat_id=group,
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photo=open("{}_chat_word_cloud.png".format(group), "rb")
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)
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os.remove("{}_chat_word_cloud.png".format(group))
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stop_time = float(time.time())
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print("当前群组处理耗时：" + str(stop_time - start_time))
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def flush_redis():
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r = connector.get_connection()
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r.flushall()
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print("已清空数据库")
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