2024
This commit is contained in:
PeterZhong
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a4cca18a42
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README.md
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README.md
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# 运行步骤
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> 请严格按照步骤运行，否则极有可能出现错误或者出现不希望看到的结果
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此为2023版本的运行步骤，2024年的暂未更新
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1. 清空out文件夹，但保留空的out文件夹，清空mdbook_test/src文件夹。可以删除mdbook_test/report的旧文件夹
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2. 更新contact.xlsx
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3. 更新messages.xlsx
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4. 运行main.py，这个过程会很长
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5. 将out文件夹内所有文件复制到mdbook/src文件夹
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6. 在mdbook文件夹下运行`mdbook build`
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7. 运行replace.py
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8. 将book文件夹改名为report
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9. 将index.html的内容删除，改为404
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10. 删除服务器端report文件夹
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11. 将本地report文件夹压缩后上传到服务器后再解压
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12. 删除report.zip文件
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13. 测试ouput.xlsx中的链接能否访问，显示是否符合预期
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14. 复制Excel文件中的text内容到微信发送
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echarts-wordcloud.min.js
vendored
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echarts-wordcloud.min.js
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echarts.min.js
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echarts.min.js
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Load Diff
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main.py
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main.py
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import datetime
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import json
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import re
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import shutil
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import string
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import threading
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from collections import Counter
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from enum import Enum
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import openpyxl
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import jieba
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import wordcloud
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from numpy import sort
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from imageio.v2 import imread
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from openpyxl.workbook import Workbook
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from wordcloud import WordCloud, STOPWORDS
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import matplotlib.pyplot as plt
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from mplfonts import use_font
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# 系统库
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import _thread
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import datetime
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import random
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import math
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# 数据分析库
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import numpy as np
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from pylab import mpl
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import pandas as pd
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import matplotlib.pyplot as plt
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# 不展示警告信息
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import warnings
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# warnings.filterwarnings('ignore')
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# 使一个单元格可以输出多次
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from IPython.core.interactiveshell import InteractiveShell
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# import aspose.words as aw
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InteractiveShell.ast_node_interactivity = "all"
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# pyecharts相关
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from pyecharts.globals import CurrentConfig, OnlineHostType, ThemeType, ChartType, SymbolType
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CurrentConfig.ONLINE_HOST = OnlineHostType.NOTEBOOK_HOST
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from pyecharts.commons.utils import JsCode
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from pyecharts.components import Table
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from pyecharts.charts import * # 图表类型
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from pyecharts import options as opts # 配置项
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from pyecharts.charts import Bar
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import os
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datas = []
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files = []
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names = []
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out_datas = []
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class Type(Enum):
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TEXT = 1
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IMAGE = 3
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EMOJI = 47
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VIDEO = 43
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SYSTEM = 10000
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VOICE = 34
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LOCATION = 48
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QUOTE = 49
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VOT = 50
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CARD = 42
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RECOMMEND = 37
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def main_progress(file_path):
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print("进入主程序")
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workbook = openpyxl.load_workbook(file_path)
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sheet = workbook["messages"]
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print("表格已读入")
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workbook2 = openpyxl.load_workbook("./contacts.xlsx")
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print("联系人表格已载入")
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sheets = workbook.sheetnames
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contact_sheet=workbook2["contacts"]
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contacts=[]
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for row in contact_sheet.iter_rows():
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if not row[4].value == "NickName":
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contacts.append(row[4].value)
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num = -1
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for row in sheet.iter_rows():
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if not num == row[1].value:
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num = num + 1
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print("一共有", num, "组聊天记录。")
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talkerId = 0
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talkerName = ""
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nick = ""
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ts = []
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print(contacts)
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for nickName in contacts:
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thread = myThread(talkerId, nickName, sheet.iter_rows())
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ts.append(thread)
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print("添加线程" + str(talkerId))
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talkerId += 1
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while talkerId <= num:
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# person(talkerId,sheet.iter_rows())
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thread = ""
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talkerId += 1
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for t in ts:
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t.run()
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print("END ALL")
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class myThread(threading.Thread):
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def __init__(self, threadID, talkerId, rows):
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threading.Thread.__init__(self)
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self.threadID = threadID
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self.talkerId = talkerId
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self.rows = rows
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def run(self):
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print("开始线程：" +str(self.talkerId))
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person(self.talkerId, self.rows)
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print("退出线程：" + str(self.talkerId))
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def person(talkerId, rows):
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# 这是同一组聊天记录的分析
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text = "" # 汇总所有文本信息
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empty_time = datetime.datetime.strptime("1999-01-01 7:00:00", "%Y-%m-%d %H:%M:%S")
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latest_time = empty_time
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origin_datetime = datetime.datetime.now()
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count = {"text": 0, "voice": 0, "emoji": 0, "video": 0, "quote": 0, "system": 0, "vot": 0, "card": 0,
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"image": 0, "location": 0, "recommend": 0}
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date_format = "%Y-%m-%d %H:%M:%S"
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total_num = 0
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month_dict = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
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date_list = []
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date_keys = []
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time_list = []
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time_keys = []
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lens_list = []
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send = 0
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receive = 0
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found = False
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talkerName=""
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rowcount=0
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for row in rows:
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# if row[1].value == talkerId or row[9] == talkerName:
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if True:
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rowcount += 1
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# 总数
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found=True
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total_num += 1
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talkerName = row[9].value
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nick = row[10].value
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# 分类进行分析统计
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if str(row[2].value) == str(Type.TEXT.value):
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text += str(row[7].value) # 凡是文本类型的数据都聚合一起方便后面词频分析
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lens_list.append(str(row[7].value).__len__())
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count["text"] += 1
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elif str(row[2].value) == str(Type.IMAGE.value):
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count["image"] += 1
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elif str(row[2].value) == str(Type.EMOJI.value):
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count["emoji"] += 1
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elif str(row[2].value) == str(Type.VOICE.value):
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count["voice"] += 1
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elif str(row[2].value) == str(Type.VIDEO.value):
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count["video"] += 1
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elif str(row[2].value) == str(Type.VOT.value):
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count["vot"] += 1
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elif str(row[2].value) == str(Type.CARD.value):
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count["card"] += 1
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elif str(row[2].value) == str(Type.SYSTEM.value):
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count["system"] += 1
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elif str(row[2].value) == str(Type.LOCATION.value):
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count["location"] += 1
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elif str(row[2].value) == str(Type.QUOTE.value):
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count["quote"] += 1
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elif str(row[2].value) == str(Type.RECOMMEND.value):
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count["recommend"] += 1
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if row[8].value != "StrTime" and row[8].value != None:
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message_time = datetime.datetime.strptime(row[8].value, date_format)
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else:
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continue
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# 第一次聊天的日期
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# 聊到最晚的时间
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latest_time = later_time(message_time, latest_time)
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# 月份分布
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i = 0
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while i < 12:
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if message_time.month == i + 1:
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month_dict[i] += 1
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i += 1
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# 将日期列提取出来，方便后面进行数数
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date_list.append(message_time.date())
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if message_time.date() not in date_keys:
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date_keys.append(message_time.date())
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# 提取出时间列方便后面统计时间段
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time_list.append(message_time.hour)
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if message_time.hour not in time_keys:
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time_keys.append(message_time.hour)
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# 统计发送和接收的消息数
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if str(row[4].value) == "1":
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send += 1
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else:
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receive += 1
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if not found:
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return
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text.replace("\n", "")
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print(rowcount)
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# 词频统计
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ls = jieba.lcut(text)
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ls = [i for i in ls if i.__len__() > 1]
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ls = [i for i in ls if not i == "x000D"]
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ls_str = ' '.join(ls)
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if ls.__len__() < 1:
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ls_str="无内容 无内容 无内容"
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return
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stopwords = STOPWORDS
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word_keys = []
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word_dict = {}
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for word in ls:
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if word not in word_keys:
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word_keys.append(word)
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for key in word_keys:
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word_dict[key] = ls.count(key)
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s_word_dict = dict(sorted(word_dict.items(), key=lambda x: x[1], reverse=True))
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word_dict = s_word_dict
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# 添加新的停止词
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emojis=['微笑', '撇嘴', '色', '发呆', '得意', '流泪', '害羞', '闭嘴', '睡', '大哭', '尴尬', '发怒', '调皮', '呲牙',
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'惊讶', '难过', '囧', '抓狂', '吐', '偷笑', '愉快', '白眼', '傲慢', '困', '惊恐', '憨笑', '悠闲', '咒骂',
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'疑问', '嘘', '晕', '衰', '骷髅', '敲打', '再见', '擦汗', '抠鼻', '鼓掌', '坏笑', '右哼哼', '鄙视', '委屈',
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'快哭了', '阴险', '亲亲', '可怜', '笑脸', '生病', '脸红', '破涕为笑', '恐惧', '失望', '无语', '嘿哈',
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'捂脸', '奸笑', '机智', '皱眉', '耶', '吃瓜', '加油', '汗', '天啊', 'Emm', '社会社会', '旺柴', '好的',
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'打脸', '哇', '翻白眼', '666', '让我看看', '叹气', '苦涩', '裂开', '嘴唇', '爱心', '心碎', '拥抱', '强',
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'弱', '握手', '胜利', '抱拳', '勾引', '拳头', 'OK', '合十', '啤酒', '咖啡', '蛋糕', '玫瑰', '凋谢', '菜刀',
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'炸弹', '便便', '月亮', '太阳', '庆祝', '礼物', '红包', '發', '福', '烟花', '爆竹', '猪头', '跳跳', '发抖',
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'转圈']
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stopwords.update(emojis)
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max_word = []
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word_max = 0
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for word in word_keys:
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if ls.count(word) > word_max and word not in emojis:
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max_word = [word]
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word_max = ls.count(word)
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elif ls.count(word) == word_max:
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max_word.append(word)
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pattern = re.compile(r'[0-9a-zA-Z]')
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ls_str = re.sub(pattern, '', ls_str)
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background = imread('bg.jpg')
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wc = wordcloud.WordCloud(
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font_path="Deng.ttf",
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max_words=500,
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stopwords=stopwords,
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mask=background,
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background_color="white")
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# 表情分析
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stickers = ['[微笑]', '[撇嘴]', '[色]', '[发呆]', '[得意]', '[流泪]', '[害羞]', '[闭嘴]', '[睡]', '[大哭]',
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'[尴尬]', '[发怒]', '[调皮]', '[呲牙]', '[惊讶]', '[难过]', '[囧]', '[抓狂]', '[吐]', '[偷笑]',
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'[愉快]', '[白眼]', '[傲慢]', '[困]', '[惊恐]', '[憨笑]', '[悠闲]', '[咒骂]', '[疑问]', '[嘘]',
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'[晕]', '[衰]', '[骷髅]', '[敲打]', '[再见]', '[擦汗]', '[抠鼻]', '[鼓掌]', '[坏笑]', '[右哼哼]',
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'[鄙视]', '[委屈]', '[快哭了]', '[阴险]', '[亲亲]', '[可怜]', '[笑脸]', '[生病]', '[脸红]',
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'[破涕为笑]', '[恐惧]', '[失望]', '[无语]', '[嘿哈]', '[捂脸]', '[奸笑]', '[机智]', '[皱眉]',
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'[耶]', '[吃瓜]', '[加油]', '[汗]', '[天啊]', '[Emm]', '[社会社会]', '[旺柴]', '[好的]', '[打脸]',
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'[哇]', '[翻白眼]', '[666]', '[让我看看]', '[叹气]', '[苦涩]', '[裂开]', '[嘴唇]', '[爱心]',
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'[心碎]', '[拥抱]', '[强]', '[弱]', '[握手]', '[胜利]', '[抱拳]', '[勾引]', '[拳头]', '[OK]',
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'[合十]', '[啤酒]', '[咖啡]', '[蛋糕]', '[玫瑰]', '[凋谢]', '[菜刀]', '[炸弹]', '[便便]', '[月亮]',
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'[太阳]', '[庆祝]', '[礼物]', '[红包]', '[發]', '[福]', '[烟花]', '[爆竹]', '[猪头]', '[跳跳]',
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'[发抖]', '[转圈]']
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# 除了微信自带的表情，添加一些常用的 Emoji 表情，除此之外还可以添加一些想要统计的单词
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stickers.extend(['😂', '🤣', '🥰', '😅', '🥹', '😘', '🤩', '🥺', '😓', '🙄', '🤡'])
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stickers_dict = {stickers: 0 for stickers in stickers}
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max_emoji = []
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emoji_max = 0
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for word in stickers_dict.keys():
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# 使用文本的 count 函数，计算里面包含了多少个 word 变量，然后加回去
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if text.count(word) > emoji_max:
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||||||
|
max_emoji = [word]
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||||||
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emoji_max = text.count(word)
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||||||
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elif text.count(word) == emoji_max:
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max_emoji.append(word)
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||||||
|
|
||||||
|
# 统计每天分布于聊天次数最多的一天
|
||||||
|
date_dict = {}
|
||||||
|
date_max = 0
|
||||||
|
max_date = []
|
||||||
|
date_min = date_list.count(date_list[0])
|
||||||
|
min_date = [date_list[0]]
|
||||||
|
for key in date_keys:
|
||||||
|
date_dict[key] = date_list.count(key)
|
||||||
|
if date_list.count(key) > date_max:
|
||||||
|
max_date = [key]
|
||||||
|
date_max = date_list.count(key)
|
||||||
|
elif date_list.count(key) == date_max:
|
||||||
|
max_date.append(key)
|
||||||
|
if date_list.count(key) < date_min:
|
||||||
|
min_date = [key]
|
||||||
|
date_min = date_list.count(key)
|
||||||
|
elif date_list.count(key) == date_min:
|
||||||
|
min_date.append(key)
|
||||||
|
|
||||||
|
# 统计时间段
|
||||||
|
time_dict = {}
|
||||||
|
s_time_dict = {}
|
||||||
|
time_max = 0
|
||||||
|
max_time = []
|
||||||
|
time_min = time_list.count(time_list[0])
|
||||||
|
min_time = [time_list[0]]
|
||||||
|
for key in time_keys:
|
||||||
|
time_dict[key] = time_list.count(key)
|
||||||
|
if time_list.count(key) > time_max:
|
||||||
|
max_time = [key]
|
||||||
|
time_max = time_list.count(key)
|
||||||
|
elif time_list.count(key) == time_max:
|
||||||
|
max_time.append(key)
|
||||||
|
if time_list.count(key) < time_min:
|
||||||
|
min_time = [key]
|
||||||
|
time_min = time_list.count(key)
|
||||||
|
elif time_list.count(key) == time_min:
|
||||||
|
min_time.append(key)
|
||||||
|
i = 0
|
||||||
|
while i < 24:
|
||||||
|
try:
|
||||||
|
s_time_dict[i] = time_dict[i]
|
||||||
|
except:
|
||||||
|
s_time_dict[i] = 0
|
||||||
|
i += 1
|
||||||
|
time_dict = s_time_dict
|
||||||
|
|
||||||
|
sum = 0
|
||||||
|
for len in lens_list:
|
||||||
|
sum += len
|
||||||
|
avg = sum / lens_list.__len__()
|
||||||
|
|
||||||
|
filename = generate_filename()
|
||||||
|
|
||||||
|
base_path = os.path.join("./out", remove_invalid_chars(filename))
|
||||||
|
if not os.path.exists(base_path):
|
||||||
|
os.mkdir(base_path)
|
||||||
|
mpl.rcParams["font.sans-serif"] = ["SimHei"]
|
||||||
|
heat_html = drawHeat(date_dict)
|
||||||
|
time_bar_html = drawBar([str(i) + "\n到\n" + str(i + 1) + "\n点" for i in time_dict.keys()],
|
||||||
|
[int(i) for i in list(time_dict.values())], "时间段", "消息数",
|
||||||
|
os.path.join(base_path, "timebar"))
|
||||||
|
typepie_html = drawPie(list(count.keys()), list(count.values()), "各类消息占比",
|
||||||
|
os.path.join(base_path, "typepie"))
|
||||||
|
send_pie_html = drawPie(["我发送的", "我收到的"], [send, receive], "发送与收到消息占比",
|
||||||
|
os.path.join(base_path, "pie"))
|
||||||
|
wordcloud_html = drawWordCloud(ls_str)
|
||||||
|
if ' ' in ls_str:
|
||||||
|
wc.generate(ls_str)
|
||||||
|
wc.to_file(os.path.join(base_path, "wordcloud.png"))
|
||||||
|
|
||||||
|
out_data = {
|
||||||
|
"nick": nick,
|
||||||
|
"origin_date": str(origin_datetime),
|
||||||
|
"latest_time": str(latest_time),
|
||||||
|
"time_comment": time_comment(latest_time),
|
||||||
|
"total_num": total_num,
|
||||||
|
"text_count": count["text"],
|
||||||
|
"voice_count": count["voice"],
|
||||||
|
"text_comment": text_comment(count["text"], count["voice"]),
|
||||||
|
"avg": "{:.2f}".format(avg),
|
||||||
|
"avg_comment": avg_comment(avg),
|
||||||
|
"receive": receive,
|
||||||
|
"send_comment": send_comment(send, receive),
|
||||||
|
"note": remove_invalid_chars(talkerName),
|
||||||
|
"max_date": list2str([str(i.month) + "月" + str(i.day) + "日" for i in max_date]),
|
||||||
|
"date_max": date_max,
|
||||||
|
"min_date": list2str([str(i.month) + "月" + str(i.day) + "日" for i in min_date]),
|
||||||
|
"date_min": date_min,
|
||||||
|
"max_time": list2str([str(i) + "时到" + str(i + 1) + "时" for i in max_time]),
|
||||||
|
"time_max": time_max,
|
||||||
|
"min_time": list2str([str(i) + "时到" + str(i + 1) + "时" for i in min_time]),
|
||||||
|
"time_min": time_min,
|
||||||
|
"max_word": list2str(max_word),
|
||||||
|
"word_max": word_max,
|
||||||
|
"sum": text.__len__(),
|
||||||
|
"text_percent": str("{:.2f}".format(count["text"] / total_num * 100)) + "%",
|
||||||
|
"max_date_this": this(max_date),
|
||||||
|
"min_date_this": this(min_date),
|
||||||
|
"max_time_this": this(max_time),
|
||||||
|
"min_time_this": this(min_time),
|
||||||
|
"file": filename,
|
||||||
|
"max_emoji":str(max_emoji),
|
||||||
|
"emoji_max":emoji_max,
|
||||||
|
"text":send_text(nick,filename),
|
||||||
|
"url":f"https://2024.peterzhong.site/report/{filename}.html",
|
||||||
|
"time_bar": time_bar_html,
|
||||||
|
"send_pie": send_pie_html,
|
||||||
|
"type_pie": typepie_html,
|
||||||
|
"heat": heat_html,
|
||||||
|
"wordcloud_html": wordcloud_html
|
||||||
|
}
|
||||||
|
|
||||||
|
md_path = os.path.join("./out", remove_invalid_chars(talkerName) + ".md")
|
||||||
|
shutil.copy("./template.md", md_path)
|
||||||
|
print(md_path)
|
||||||
|
content = ""
|
||||||
|
with open(md_path, encoding="utf-8", mode="r") as file:
|
||||||
|
content = file.read()
|
||||||
|
for key in out_data.keys():
|
||||||
|
content = content.replace("%" + str(key) + "%", str(out_data[key]))
|
||||||
|
with open(md_path, encoding="utf-8", mode="w+") as file:
|
||||||
|
file.write(content)
|
||||||
|
shutil.copy(md_path,os.path.join("./out", filename + ".md")) # 如果不需要保留密码文件名请删除此行
|
||||||
|
files.append(filename)
|
||||||
|
names.append(talkerName)
|
||||||
|
os.remove(md_path) # 如果需要保留原文件名请注释此行
|
||||||
|
out_datas.append(out_data)
|
||||||
|
update_toc()
|
||||||
|
data = {
|
||||||
|
"user": {
|
||||||
|
"nickName": nick,
|
||||||
|
"note": talkerName
|
||||||
|
},
|
||||||
|
"type": {
|
||||||
|
"text": count["text"],
|
||||||
|
"voice": count["voice"],
|
||||||
|
"emoji": count["emoji"],
|
||||||
|
"video": count["video"],
|
||||||
|
"quote": count["quote"],
|
||||||
|
"system": count["system"],
|
||||||
|
"vot": count["vot"],
|
||||||
|
"card": count["card"],
|
||||||
|
"image": count["image"],
|
||||||
|
"location": count["location"],
|
||||||
|
"recommend": count["recommend"],
|
||||||
|
},
|
||||||
|
"count": {
|
||||||
|
"total": total_num,
|
||||||
|
"avgLen": avg,
|
||||||
|
"word": {
|
||||||
|
"popWord": max_word,
|
||||||
|
"pop": word_max
|
||||||
|
},
|
||||||
|
"emoji": {
|
||||||
|
"popEmoji": max_emoji,
|
||||||
|
"pop": emoji_max
|
||||||
|
},
|
||||||
|
"date": {
|
||||||
|
"dateMax": date_max,
|
||||||
|
"dateMin": date_min,
|
||||||
|
"maxDate": [date_handler(max_date) for max_date in max_date],
|
||||||
|
"minDate": [date_handler(min_date) for min_date in min_date]
|
||||||
|
},
|
||||||
|
"time": {
|
||||||
|
"timeMax": time_max,
|
||||||
|
"timeMin": time_min,
|
||||||
|
"maxtime": [max_time for max_time in max_time],
|
||||||
|
"mintime": [min_time for min_time in min_time]
|
||||||
|
},
|
||||||
|
},
|
||||||
|
"time": {
|
||||||
|
"start": date_handler(origin_datetime),
|
||||||
|
"latest": time_handler(latest_time)
|
||||||
|
},
|
||||||
|
"out": {
|
||||||
|
"wordCloud": 0
|
||||||
|
}
|
||||||
|
}
|
||||||
|
datas.append(data)
|
||||||
|
plt.close('all')
|
||||||
|
return out_data
|
||||||
|
|
||||||
|
|
||||||
|
def time_comment(datetime):
|
||||||
|
if 7 < datetime.hour < 22:
|
||||||
|
return "我们的作息好像还挺合理，或许只是消息的作息比较巧合吧。"
|
||||||
|
else:
|
||||||
|
return "夜猫子无疑了，聊这么晚不会是在聊工作吧？"
|
||||||
|
|
||||||
|
|
||||||
|
def avg_comment(avg):
|
||||||
|
if avg < 15:
|
||||||
|
return "长话短说，这效率不错"
|
||||||
|
else:
|
||||||
|
return "到底是谁比较啰嗦一些呢[狗头]"
|
||||||
|
|
||||||
|
|
||||||
|
def send_comment(send, receive):
|
||||||
|
total = send + receive
|
||||||
|
if (send - receive) / total > 0.2:
|
||||||
|
return "看来我是个话痨。"
|
||||||
|
elif (send - receive) / total < -0.2:
|
||||||
|
return "你的话让我受益匪浅，常常仔细地听着你讲。"
|
||||||
|
else:
|
||||||
|
return "基本上是一来一回，有问有答了。"
|
||||||
|
|
||||||
|
|
||||||
|
def text_comment(text, voice):
|
||||||
|
if text > voice:
|
||||||
|
return "看来还是文本消息比较方便彼此沟通"
|
||||||
|
else:
|
||||||
|
return "估计是有比较多紧急情况，来不及手输文字了"
|
||||||
|
|
||||||
|
|
||||||
|
def date_handler(d):
|
||||||
|
return d.strftime('%Y-%m-%d')
|
||||||
|
|
||||||
|
|
||||||
|
def time_handler(d):
|
||||||
|
return d.strftime('%H-%M-%S')
|
||||||
|
|
||||||
|
|
||||||
|
def later_time(time_new, time_old):
|
||||||
|
time0 = datetime.datetime.strptime("1999-01-01 0:00:00", "%Y-%m-%d %H:%M:%S")
|
||||||
|
time7 = datetime.datetime.strptime("1999-01-01 7:00:00", "%Y-%m-%d %H:%M:%S")
|
||||||
|
if time0.time() < time_old.time() < time7.time():
|
||||||
|
if time_new.time() > time7.time():
|
||||||
|
return time_old
|
||||||
|
elif time_old.time() > time_new.time():
|
||||||
|
return time_old
|
||||||
|
else:
|
||||||
|
return time_new
|
||||||
|
else:
|
||||||
|
if time0.time() < time_new.time() < time7.time():
|
||||||
|
return time_new
|
||||||
|
else:
|
||||||
|
if time_new.time() > time_old.time():
|
||||||
|
return time_new
|
||||||
|
else:
|
||||||
|
return time_old
|
||||||
|
|
||||||
|
|
||||||
|
# 横轴标签（星期）函数
|
||||||
|
def label_days(ax, dates, i, j, calendar):
|
||||||
|
ni, nj = calendar.shape
|
||||||
|
day_of_month = np.nan * np.zeros((ni, 7))
|
||||||
|
day_of_month[i, j] = [d.day for d in dates]
|
||||||
|
|
||||||
|
for (i, j), day in np.ndenumerate(day_of_month):
|
||||||
|
if np.isfinite(day):
|
||||||
|
ax.text(j, i, int(day), ha='center', va='center')
|
||||||
|
|
||||||
|
ax.set(xticks=np.arange(7),
|
||||||
|
xticklabels=['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])
|
||||||
|
ax.xaxis.tick_top()
|
||||||
|
|
||||||
|
|
||||||
|
# 纵轴标签（月份）函数
|
||||||
|
def label_months(ax, dates, i, j, calendar):
|
||||||
|
month_labels = np.array(['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul',
|
||||||
|
'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])
|
||||||
|
months = np.array([d.month for d in dates])
|
||||||
|
uniq_months = sorted(set(months))
|
||||||
|
yticks = [i[months == m].mean() for m in uniq_months]
|
||||||
|
labels = [month_labels[m - 1] for m in uniq_months]
|
||||||
|
ax.set(yticks=yticks)
|
||||||
|
ax.set_yticklabels(labels, rotation=90)
|
||||||
|
|
||||||
|
|
||||||
|
# 数据封装函数
|
||||||
|
def calendar_array(dates, data):
|
||||||
|
i, j = zip(*[d.isocalendar()[1:] for d in dates])
|
||||||
|
i = np.array(i) - min(i)
|
||||||
|
j = np.array(j) - 1
|
||||||
|
ni = max(i) + 1
|
||||||
|
|
||||||
|
calendar = np.nan * np.zeros((ni, 7))
|
||||||
|
calendar[i, j] = data
|
||||||
|
return i, j, calendar
|
||||||
|
|
||||||
|
|
||||||
|
def remove_invalid_chars(text):
|
||||||
|
rstr = r"[\/\\\:\*\?\"\<\>\|]" # '/ \ : * ? " < > |'
|
||||||
|
if text != None:
|
||||||
|
text = re.sub(rstr, "_", text) # 替换为下划线
|
||||||
|
else:
|
||||||
|
text=str(text)+"_无备注"
|
||||||
|
return str(text)
|
||||||
|
|
||||||
|
|
||||||
|
# 传入日历数据和日期，输出日历图像
|
||||||
|
def calendar_heatmap(ax, dates, data):
|
||||||
|
i, j, calendar = calendar_array(dates, data)
|
||||||
|
im = ax.imshow(calendar, interpolation='none', cmap='summer')
|
||||||
|
label_days(ax, dates, i, j, calendar)
|
||||||
|
label_months(ax, dates, i, j, calendar)
|
||||||
|
ax.figure.colorbar(im)
|
||||||
|
|
||||||
|
|
||||||
|
def drawBar(axis_x, axis_y, xlabel, ylabel, path):
|
||||||
|
plt.clf()
|
||||||
|
# use_font('Heiti TC')
|
||||||
|
plt.bar(axis_x, axis_y)
|
||||||
|
plt.xlabel(xlabel)
|
||||||
|
plt.ylabel(ylabel)
|
||||||
|
plt.savefig(path)
|
||||||
|
bar = Bar()
|
||||||
|
bar.add_xaxis(axis_x)
|
||||||
|
bar.add_yaxis(ylabel, axis_y)
|
||||||
|
bar.set_global_opts(title_opts=opts.TitleOpts(title="消息时间段分布"))
|
||||||
|
return bar.render_embed()
|
||||||
|
|
||||||
|
|
||||||
|
def drawHeat(data):
|
||||||
|
# plt.clf()
|
||||||
|
# fig, ax = plt.subplots()
|
||||||
|
# calendar_heatmap(ax, dates, data)
|
||||||
|
# plt.savefig(path)
|
||||||
|
data_list = [
|
||||||
|
[datetime.datetime.strptime(str(date), "%Y-%m-%d"), freq]
|
||||||
|
for date, freq in data.items()
|
||||||
|
]
|
||||||
|
calendar = (
|
||||||
|
Calendar()
|
||||||
|
.add(
|
||||||
|
series_name="",
|
||||||
|
yaxis_data=data_list,
|
||||||
|
calendar_opts=opts.CalendarOpts(
|
||||||
|
pos_top="50px",
|
||||||
|
pos_left="30px",
|
||||||
|
pos_right="30px",
|
||||||
|
range_="2024", # 指定年份范围
|
||||||
|
),
|
||||||
|
)
|
||||||
|
.set_global_opts(
|
||||||
|
visualmap_opts=opts.VisualMapOpts(
|
||||||
|
max_=max([item[1] for item in data_list]),
|
||||||
|
min_=min([item[1] for item in data_list]),
|
||||||
|
orient="horizontal",
|
||||||
|
is_piecewise=True,
|
||||||
|
range_color=["#b6e1bc", "#0d7000"]
|
||||||
|
),
|
||||||
|
title_opts=opts.TitleOpts(title="消息热力图"),
|
||||||
|
)
|
||||||
|
)
|
||||||
|
return calendar.render_embed()
|
||||||
|
|
||||||
|
|
||||||
|
def drawPie(labels, data, title, path):
|
||||||
|
plt.clf()
|
||||||
|
plt.axes(aspect='equal')
|
||||||
|
plt.pie(x=data, labels=labels)
|
||||||
|
plt.title(title)
|
||||||
|
plt.legend(loc='best')
|
||||||
|
plt.savefig(path)
|
||||||
|
pie = Pie()
|
||||||
|
pie.add("", [list(z) for z in zip(labels, data)]).set_global_opts(title_opts=opts.TitleOpts(title=title)).set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
|
||||||
|
return pie.render_embed()
|
||||||
|
|
||||||
|
def drawWordCloud(text):
|
||||||
|
# 分词并统计词频
|
||||||
|
words = text.split() # 使用空格分词
|
||||||
|
word_counts = Counter(words) # 统计词频
|
||||||
|
|
||||||
|
# 准备词云图需要的数据格式 [(word, freq), ...]
|
||||||
|
data = word_counts.items()
|
||||||
|
words = list(word_counts.items())
|
||||||
|
|
||||||
|
# 创建词云图
|
||||||
|
wordcloud = (
|
||||||
|
WordCloud()
|
||||||
|
.add("", words, word_size_range=[20, 100]) # 圆形词云
|
||||||
|
.set_global_opts(title_opts=opts.TitleOpts(title="聊天关键词"))
|
||||||
|
)
|
||||||
|
html = wordcloud.render_embed()
|
||||||
|
return wordcloud.render_embed()
|
||||||
|
|
||||||
|
|
||||||
|
def this(arr):
|
||||||
|
arr = list(arr)
|
||||||
|
if len(arr) == 1:
|
||||||
|
return "这"
|
||||||
|
elif len(arr) == 2:
|
||||||
|
return "这两"
|
||||||
|
else:
|
||||||
|
return "这几"
|
||||||
|
|
||||||
|
|
||||||
|
def list2str(list):
|
||||||
|
res = ""
|
||||||
|
for item in list:
|
||||||
|
res += "、`" + str(item)+"`"
|
||||||
|
res = res[1:]
|
||||||
|
res = replace_last_string(res, "、", "和")
|
||||||
|
return res
|
||||||
|
|
||||||
|
|
||||||
|
def replace_last_string(text, old_str, new_str):
|
||||||
|
last_index = text.rfind(old_str)
|
||||||
|
if last_index != -1:
|
||||||
|
new_text = text[:last_index] + new_str + text[last_index + len(old_str):]
|
||||||
|
return new_text
|
||||||
|
else:
|
||||||
|
return text
|
||||||
|
|
||||||
|
def generate_filename(length=15):
|
||||||
|
letters = string.ascii_lowercase + string.digits # 包含小写字母和数字
|
||||||
|
filename = ''.join(random.choice(letters) for _ in range(length))
|
||||||
|
return filename
|
||||||
|
|
||||||
|
def write_dict_to_excel(data_dict, filename):
|
||||||
|
# 创建一个新的Excel工作簿
|
||||||
|
workbook = Workbook()
|
||||||
|
# 获取活动的工作表
|
||||||
|
worksheet = workbook.active
|
||||||
|
# 写入字典的键作为表头
|
||||||
|
headers = list(data_dict[0].keys())
|
||||||
|
worksheet.append(headers)
|
||||||
|
for item in data_dict:
|
||||||
|
# 写入字典的值
|
||||||
|
values = list(item.values())
|
||||||
|
worksheet.append(values)
|
||||||
|
# 保存Excel文件
|
||||||
|
workbook.save(filename)
|
||||||
|
|
||||||
|
def send_text(nick, filename):
|
||||||
|
text=f"尊敬的{nick}：你好！我们即将迎来2024年，首先祝你新年快乐，来年身体健康、一切顺心[加油]。回顾2023年，我为你做了一份我们的微信好友年度报告作为纪念，诚邀你来看看，挺有意思：https://peterzhong1219.site/report/{filename}.html。让2023一切不如意随风而去，多多希望诗和远方——说不定哪天就实现了呢，愿共勉。【回复TD退订】[吃瓜]"
|
||||||
|
return text
|
||||||
|
|
||||||
|
def update_toc():
|
||||||
|
md = "# 微信好友年度报告\n\n"
|
||||||
|
i = 0
|
||||||
|
for filename in files:
|
||||||
|
md += "- [" + str(names[i]) + "](" + str(filename) + ".md)\n"
|
||||||
|
i += 1
|
||||||
|
with open("./out/SUMMARY.md", "w+", encoding="utf-8") as file:
|
||||||
|
file.write(md)
|
||||||
|
|
||||||
|
# 按绿色按钮运行
|
||||||
|
if __name__ == '__main__':
|
||||||
|
file_path = "./messages.xlsx"
|
||||||
|
main_progress(file_path)
|
||||||
|
with open("output.json", "w", encoding="utf-8") as file:
|
||||||
|
json.dump(datas, file, indent=" ", ensure_ascii=False)
|
||||||
|
write_dict_to_excel(out_datas,"output.xlsx")
|
||||||
53
main2024.py
Normal file
53
main2024.py
Normal file
@ -0,0 +1,53 @@
|
|||||||
|
import csv
|
||||||
|
import json
|
||||||
|
import os
|
||||||
|
import datetime
|
||||||
|
|
||||||
|
from openpyxl.workbook import Workbook
|
||||||
|
|
||||||
|
from main import person, write_dict_to_excel
|
||||||
|
|
||||||
|
|
||||||
|
def csv_to_openpyxl(sourcePath: str, encode='utf-8'):
|
||||||
|
"""将csv 转为 excel（.xlsx格式）
|
||||||
|
如果不需要可以把计时相关代码删除
|
||||||
|
Args:
|
||||||
|
sourcePath:str 来源文件路径
|
||||||
|
savePath:str 保存文件路径，需要包含保存的文件名，文件名需要是 xlsx 格式的
|
||||||
|
encode='utf-8' 默认编码，可以改为需要的编码如gbk
|
||||||
|
"""
|
||||||
|
print('开始转换%s' % sourcePath)
|
||||||
|
f = open(sourcePath, 'r', encoding=encode)
|
||||||
|
# 创建一个workbook 设置编码
|
||||||
|
workbook = Workbook()
|
||||||
|
# 创建一个worksheet
|
||||||
|
worksheet = workbook.active
|
||||||
|
workbook.title = 'sheet'
|
||||||
|
reader = csv.reader(f)
|
||||||
|
for row in reader:
|
||||||
|
worksheet.append(row)
|
||||||
|
return worksheet.iter_rows()
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
print("程序开始")
|
||||||
|
base_data_path = "./data2024"
|
||||||
|
date_format = "%Y-%m-%d %H:%M:%S"
|
||||||
|
datas = []
|
||||||
|
for dir in os.listdir(base_data_path):
|
||||||
|
if os.path.isdir(os.path.join(base_data_path, dir)):
|
||||||
|
for file in os.listdir(os.path.join(base_data_path, dir)):
|
||||||
|
if file.endswith(".csv"):
|
||||||
|
csv_path = os.path.join(base_data_path, dir, file)
|
||||||
|
rows = csv_to_openpyxl(csv_path)
|
||||||
|
TalkerId = ""
|
||||||
|
for row in rows:
|
||||||
|
if row[1].value != "TalkerId":
|
||||||
|
TalkerId = row[1].value
|
||||||
|
print("TalkerId: ", TalkerId)
|
||||||
|
break
|
||||||
|
data = person(TalkerId, rows)
|
||||||
|
datas.append(data)
|
||||||
|
with open("output.json", "w", encoding="utf-8") as file:
|
||||||
|
json.dump(datas, file, indent=" ", ensure_ascii=False)
|
||||||
|
write_dict_to_excel(datas, "output1.xlsx")
|
||||||
24
replace.py
Normal file
24
replace.py
Normal file
@ -0,0 +1,24 @@
|
|||||||
|
import os
|
||||||
|
from bs4 import BeautifulSoup
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
file_list = os.listdir("./mdbook_test/book")
|
||||||
|
for item in file_list:
|
||||||
|
full_path = os.path.join("./mdbook_test/book", item)
|
||||||
|
if os.path.isfile(full_path) and item.endswith(".html"):
|
||||||
|
with open(full_path, encoding="utf-8", mode="r") as file:
|
||||||
|
content = file.read()
|
||||||
|
soup = BeautifulSoup(content)
|
||||||
|
if not soup.find(id="sidebar") == None:
|
||||||
|
soup.find(id="sidebar").decompose()
|
||||||
|
while soup.find("nav") is not None:
|
||||||
|
soup.find("nav").decompose()
|
||||||
|
while soup.find(class_="fa-search") is not None:
|
||||||
|
soup.find(class_="fa-search").decompose()
|
||||||
|
if not soup.find(id="search-wrapper") == None:
|
||||||
|
soup.find(id="search-wrapper").decompose()
|
||||||
|
with open(full_path, encoding="utf-8", mode="w+") as file:
|
||||||
|
origin_str = soup.prettify()
|
||||||
|
correct_str = origin_str.replace("http://localhost:8888/nbextensions/assets", ".")
|
||||||
|
content = file.write(correct_str)
|
||||||
|
print("已完成"+item)
|
||||||
67
template.md
Normal file
67
template.md
Normal file
@ -0,0 +1,67 @@
|
|||||||
|
# 微信好友年度报告
|
||||||
|
|
||||||
|
<font style="color:skyblue;">PeterZhong × %nick%</font><sup>[1]</sup>
|
||||||
|
|
||||||
|
> Published By ©PeterZhong Using `Python` & `mdbook`
|
||||||
|
>
|
||||||
|
> **特别说明：** 本文档全部由程序自动生成，部分未经人工核验，内容仅供参考。
|
||||||
|
|
||||||
|
### 一、报告主体
|
||||||
|
|
||||||
|
尊敬的“%nick%”先生/女士：<sup>[2]</sup>
|
||||||
|
|
||||||
|
您好！不知不觉，2025年已经到来，在过去的2024年里，我们或许才刚刚相识，或许已经是老相识了，这一年我们之间产生的消息往来有%total_num%条，往下看看有什么有趣的信息吧~<sup>[5]</sup>
|
||||||
|
|
||||||
|
我们聊天聊到最晚的那次聊到了%latest_time%<sup>[4]</sup>，%time_comment%
|
||||||
|
|
||||||
|
这%total_num%条消息中文字消息一共有%text_count%条，占比%text_percent%，语音消息%voice_count%条，%text_comment%
|
||||||
|
|
||||||
|
这些文字消息一共%sum%字，平均每条的长度为%avg%字，%avg_comment%
|
||||||
|
|
||||||
|
%type_pie%
|
||||||
|
|
||||||
|
我收到的消息有%receive%条<sup>[6]</sup>，%send_comment%
|
||||||
|
|
||||||
|
%send_pie%
|
||||||
|
|
||||||
|
我给你的微信备注名为`%note%`<sup>[7]</sup>，这年我也没怎么整理过微信的备注了，所以也没怎么特别地设计过。
|
||||||
|
|
||||||
|
不知道你还记不记得%max_date%，%max_date_this%天我们聊天聊得最多，一共产生了%date_max%条消息，到底在聊什么啊
|
||||||
|
|
||||||
|
与之相反，%min_date%比较特别，%min_date_this%天我们聊得很少<sup>[8]</sup>，只产生了%date_min%条消息，或许那天大家都挺忙的吧，又或许没什么事就不打扰了。
|
||||||
|
|
||||||
|
%heat%
|
||||||
|
|
||||||
|
每一天我们发送消息最多的是在%max_time%，在%max_time_this%个时段仅仅一个小时内我们互通的消息就达到了%time_max%条
|
||||||
|
|
||||||
|
而发送消息最少<sup>[9]</sup>的是在%min_time%，在%min_time_this%个时段我们只产生了%time_min%条消息
|
||||||
|
|
||||||
|
%time_bar%
|
||||||
|
|
||||||
|
我们的聊天中出现最多的词语是%max_word%<sup>[10]</sup>，一共出现了%word_max%次，以下则是我们的年度关键词
|
||||||
|
|
||||||
|
%wordcloud_html%
|
||||||
|
|
||||||
|
还有哦，我们的聊天记录中出现最多emoji是它（们）：%max_emoji%，出现了%emoji_max%次
|
||||||
|
|
||||||
|
好啦！汇报完毕。祝你2025年身体健康，万事顺意！
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
**注：**
|
||||||
|
1. 如果今年你更改过昵称，系统将自动选取其中一个。
|
||||||
|
2. 非常抱歉目前依然没能实现读取微信的性别信息，只能继续凑合一下了。
|
||||||
|
4. “最晚时间”的计算机制有点复杂（有些可能到四五点才睡觉的，对“晚”的定义比较模糊），此数据仅供参考。
|
||||||
|
5. 含系统消息（例如拍一拍、撤回提示等），下文的消息计数均类似。
|
||||||
|
6. 含系统消息（例如拍一拍、撤回提示等均算作“我收到的”）。
|
||||||
|
7. 【】中间的编号是分类，后面是姓名（不排除被输入法坑导致输错了）以及用-分隔的身份标签等，所有好友均为类似格式。因编码原因，部分特殊字符无法显示，此处换为`_`。
|
||||||
|
8. 忽略消息数为0的日期后再进行统计。
|
||||||
|
9. 忽略消息数为0的时间后再进行统计。
|
||||||
|
10. 基于“jiema模块”自动分词，不涉及深度学习和AI，可能会有分词错误。
|
||||||
|
11. 为了信息安全，该文档的在线版将会在不久后下架，如有需要你可以问我拿离线版或者点击右上角打印为PDF保存。
|
||||||
|
|
||||||
|
---
|
||||||
|
|
||||||
|
### 二、说点啥
|
||||||
|
|
||||||
|
今年感觉变得更忙了，很多想做的事没做成，充实起来倒也是个不错的状态。因为时间有限，今年的微信好友年度报告大致沿用了去年的代码，但是因为微信导出的数据格式发生了比较大的变化，所以根据新的数据格式进行了适配，去年的图表全部都是用图片的形式插入在网页中的，今年则改成了可以点击交互的图表形式。后面还要继续考试呢，就不写这么多了。衷心祝愿：身体健康，所愿皆如愿！
|
||||||
Loading…
Reference in New Issue
Block a user