WeChatMsg/app/Ui/contact/analysis/charts.py
2023-04-05 01:50:58 +08:00

522 lines
16 KiB
Python

import os
import jieba
import pandas as pd
import xmltodict
from pyecharts import options as opts
from pyecharts.charts import Pie, WordCloud, Calendar, Bar, Line, Timeline, Grid
from ....DataBase import data
# from app.DataBase import data
data.mkdir(os.path.abspath('.') + '/data/聊天统计')
Type = {
'1': '文字',
'3': '图片',
'43': '视频',
'-1879048185': '微信运动排行榜',
'5': '',
'47': '表情包',
'268445456': '撤回消息',
'34': '语音',
'419430449': '转账',
'50': '语音电话',
'100001': '领取红包',
'10000': '消息已发出,但被对方拒收了。',
'822083633': '回复消息',
'922746929': '拍一拍',
'1090519089': '文件',
'318767153': '付款成功',
'436207665': '发红包',
'49': '分享链接'
}
charts_width = 1000
charts_height = 500
wordcloud_width = 1000
wordcloud_height = 500
def send_recv_rate(username):
send_num = data.send_nums(username)
recv_num = data.recv_nums(username)
total_num = send_num + recv_num
print(send_num, recv_num)
c = (
Pie(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
.add(
"",
[
('发送', send_num), ('接收', recv_num)
],
center=["40%", "50%"],
)
.set_global_opts(
title_opts=opts.TitleOpts(title=f"信息发送接收", subtitle=f"总计:{total_num}条消息", pos_bottom="0%"),
legend_opts=opts.LegendOpts(type_="scroll", pos_left="80%", orient="vertical"),
)
.set_series_opts(
label_opts=opts.LabelOpts(formatter="{b}:{d}%"),
)
.render("./data/聊天统计/send_recv_rate.html")
)
def msg_type_rate(username):
type_data = data.msg_type_num(username)
type_data = sorted(type_data, key=lambda x: x[1], reverse=True)
data1 = type_data[:4]
data2 = sum(map(lambda x: x[1], type_data[4:]))
print(type_data)
new_data = []
for t in data1:
try:
new_data.append((Type[str(t[0])], t[1]))
except:
new_data.append(('未知类型', t[1]))
new_data.append(('其他', data2))
c = (
Pie(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
.add(
"",
new_data
,
center=["40%", "50%"],
)
.set_global_opts(
title_opts=opts.TitleOpts(title=f"消息类型占比", pos_bottom="0%"),
legend_opts=opts.LegendOpts(type_="scroll", pos_left="80%", orient="vertical"),
)
.set_series_opts(
label_opts=opts.LabelOpts(formatter="{b}:{d}%"),
)
.render("./data/聊天统计/msg_type_rate.html")
)
def message_word_cloud(username):
text = data.get_text(username)
total_msg_len = len(text)
word_list = jieba.cut(text)
# word = " ".join(word_list)
# print(word)
stopwords = set()
content = [line.strip() for line in open('./app/data/stopwords.txt', 'r', encoding='utf-8').readlines()]
stopwords.update(content)
wordcount = {}
for word in jieba.cut(text):
if len(word) > 1 and word not in stopwords:
wordcount[word] = wordcount.get(word, 0) + 1
text_data = sorted(wordcount.items(), key=lambda x: x[1], reverse=True)
if len(text_data) > 100:
text_data = text_data[:100]
# print(text_data)
(
WordCloud(init_opts=opts.InitOpts(width=f"{wordcloud_width}px", height=f"{wordcloud_height}px"))
.add(series_name="聊天文字", data_pair=text_data, word_size_range=[20, 100])
.set_global_opts(
title_opts=opts.TitleOpts(
title=f"词云图", subtitle=f"总计{total_msg_len}",
title_textstyle_opts=opts.TextStyleOpts(font_size=23)
),
tooltip_opts=opts.TooltipOpts(is_show=True),
legend_opts=opts.LegendOpts(is_show=False)
)
.render("./data/聊天统计/wordcloud.html")
)
def calendar_chart(username):
msg_data = data.get_msg_by_days(username, year='2022')
if not msg_data:
return False
min_ = min(map(lambda x: x[1], msg_data))
max_ = max(map(lambda x: x[1], msg_data))
c = (
Calendar(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
.add(
"",
msg_data,
calendar_opts=opts.CalendarOpts(range_="2022")
)
.set_global_opts(
title_opts=opts.TitleOpts(title="2022年聊天情况"),
visualmap_opts=opts.VisualMapOpts(
max_=max_,
min_=min_,
orient="horizontal",
# is_piecewise=True,
# pos_top="200px",
pos_bottom="0px",
pos_left="0px",
),
legend_opts=opts.LegendOpts(is_show=False)
)
.render("./data/聊天统计/calendar.html")
)
def month_num(username):
"""
每月聊天条数
"""
msg_data = data.get_msg_by_month(username, year='2022')
y_data = list(map(lambda x: x[1], msg_data))
x_axis = list(map(lambda x: x[0], msg_data))
c = (
Bar(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
.add_xaxis(x_axis)
.add_yaxis("消息数量", y_data)
.set_global_opts(
title_opts=opts.TitleOpts(title="逐月统计", subtitle=None),
datazoom_opts=opts.DataZoomOpts(),
toolbox_opts=opts.ToolboxOpts(),
)
.render("./data/聊天统计/month_num.html")
)
def chat_session(username):
msg_data = data.get_msg_by_hour(username)
x_axis = list(map(lambda x: x[0], msg_data))
y_data = list(map(lambda x: x[1], msg_data))
# print(x_axis)
# print(y_data)
# max_ = max(y_data)
c = (
Line(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
.add_xaxis(xaxis_data=x_axis)
.add_yaxis(
series_name="聊天频率",
y_axis=y_data,
markpoint_opts=opts.MarkPointOpts(
data=[
opts.MarkPointItem(type_="max", name="最大值"),
opts.MarkPointItem(type_="min", name="最小值", value=int(10)),
]
),
markline_opts=opts.MarkLineOpts(
data=[opts.MarkLineItem(type_="average", name="平均值")]
),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="聊天时段", subtitle=None),
# datazoom_opts=opts.DataZoomOpts(),
# toolbox_opts=opts.ToolboxOpts(),
)
.set_series_opts(
label_opts=opts.LabelOpts(
is_show=False
)
)
.render("./data/聊天统计/chat_session.html")
)
def sport(username):
sports = data.get_sport()
ranks = []
steps = []
date = []
for sport in sports:
try:
timestamp, content, t = sport
rank_data = xmltodict.parse(content)
sub_data = rank_data['msg']['appmsg']['hardwareinfo']['messagenodeinfo']
# print(sub_data)
my_rank = sub_data['rankinfo']['rank']['rankdisplay']
my_steps = int(sub_data['rankinfo']['score']['scoredisplay'])
# print(f'rank: {my_rank},steps: {my_steps}')
rank_view = rank_data['msg']['appmsg']['hardwareinfo']['rankview']['rankinfolist']['rankinfo']
for userinfo in rank_view:
username0 = userinfo['username']
if username0 == username:
rank_ta = int(userinfo['rank']['rankdisplay'])
steps_ta = int(userinfo['score']['scoredisplay'])
ranks.append(rank_ta)
steps.append(steps_ta)
date.append(t)
except:
continue
df = pd.DataFrame({'ranks': ranks, 'score': steps, 'date': date}, index=date)
months = pd.date_range(date[0], date[-1], freq='M')
tl = Timeline(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
tl.add_schema(is_auto_play=True)
for i in range(len(months) - 1):
da = df[(months[i + 1].strftime("%Y-%m-%d") >= df['date']) & (df['date'] > months[i].strftime("%Y-%m-%d"))]
bar = (
Bar(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
.add_xaxis(list(da['date']))
.add_yaxis(
"步数",
list(da['score']),
yaxis_index=1,
color="#d14a61",
)
.extend_axis(
yaxis=opts.AxisOpts(
name="步数",
type_="value",
# grid_index=0,
# min_=0,
# max_=250,
position="right",
axisline_opts=opts.AxisLineOpts(
linestyle_opts=opts.LineStyleOpts(color="#d14a61")
),
# axislabel_opts=opts.LabelOpts(formatter="{value} ml"),
)
)
.extend_axis(
yaxis=opts.AxisOpts(
type_="value",
name="排名",
# min_=0,
# max_=25,
position="left",
is_inverse=True,
is_show=False,
# interval=True,
# grid_index=1,
axisline_opts=opts.AxisLineOpts(
linestyle_opts=opts.LineStyleOpts(color="#675bba")
),
# axislabel_opts=opts.LabelOpts(formatter="{value} °C"),
splitline_opts=opts.SplitLineOpts(
is_show=True, linestyle_opts=opts.LineStyleOpts(opacity=1)
),
)
)
.set_global_opts(
title_opts=opts.TitleOpts(
title="{}".format(months[i + 1].strftime("%Y-%m")),
),
# legend_opts=opts.LegendOpts(is_show=False),
yaxis_opts=opts.AxisOpts(is_inverse=True),
# xaxis_opts=opts.AxisOpts(type_='time')
)
.set_series_opts(
label_opts=opts.LabelOpts(
is_show=False
)
)
)
# init_opts = opts.InitOpts(width="400px", height="235px")
line = (
Line(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
.add_xaxis(list(da['date']))
.add_yaxis(
"排名",
list(da['ranks']),
yaxis_index=0,
color="#675bba",
# label_opts=opts.LabelOpts(is_show=False),
)
.set_global_opts(
yaxis_opts=opts.AxisOpts(is_inverse=True),
# xaxis_opts=opts.AxisOpts(type_='time')
)
.set_series_opts(
label_opts=opts.LabelOpts(
is_show=False
)
)
)
bar.overlap(line)
grid = Grid()
grid.add(bar, opts.GridOpts(pos_left="5%", pos_right="11%"), is_control_axis_index=True)
# grid.render("grid_multi_yaxis.html")
tl.add(grid, "{}".format(months[i].strftime("%Y-%m")))
tl.render("./data/聊天统计/sports.html")
return {
username: {
'ranks': ranks,
'score': steps,
'date': date,
}
}
def chat_start_endTime(username):
start_time = data.get_msg_start_time(username)
end_time = data.get_msg_end_time(username)
year = start_time[:4]
month = start_time[5:7]
day = start_time[8:10]
hour = start_time[11:13]
minute = start_time[14:16]
second = start_time[17:]
html = '''
<html>
<head>
<meta charset="UTF-8">
<title>聊天时间</title>
<style>
/* 倒计时开始 */
.gn_box {
padding: 0px 0px;
margin-bottom:0px;
text-align: center;
background-color: #fff;
}
#t_d{
color: #982585;
font-size: 18px;
}
#t_h{
color: #8f79c1;
font-size: 18px;
}
#t_m{
color: #65b4b5;
font-size: 18px;
}
#t_s{
color: #83caa3;
font-size: 18px;
}
#text{
color: #E80017;
font-size: 18px;
}
</style>
<!--倒计时开始-->
</head>
<body>
<div class="gn_box">
<h1>
<font color="#E80017">第</font><font color="#D1002E">一次</font><font color="#BA0045">聊天</font><font
color="#A3005C">发生</font><font color="#8C0073">在</font>
<font color="#75008A">%s</font><font color="#5E00A1">-</font><font color="#4700B8">%s</font><font
color="#3000CF"> %s</font><font color="#1900E6">:%s</font><font color="#0200FD">:%s</font>
</h1>
<center>
<div id="CountMsg" class="HotDate">
<span id="text">距今已有</span>
<span id="t_d">626 天</span>
<span id="t_h">6 时</span>
<span id="t_m">26 分</span>
<span id="t_s">26 秒</span>
</div>
</center>
</div>
<!--倒计时结束-->
<script type="text/javascript"> function getRTime() {
var EndTime = new Date('%s');
var NowTime = new Date();
var t = NowTime.getTime()-EndTime.getTime();
var d = Math.floor(t / 1000 / 60 / 60 / 24);
var h = Math.floor(t / 1000 / 60 / 60 %% 24);
var m = Math.floor(t / 1000 / 60 %% 60);
var s = Math.floor(t / 1000 %% 60);
document.getElementById("t_d").innerHTML = d + "";
document.getElementById("t_h").innerHTML = h + "";
document.getElementById("t_m").innerHTML = m + "";
document.getElementById("t_s").innerHTML = s + "";
}
setInterval(getRTime, 1000);
</script>
</body>
</html>
''' % (year, month + '-' + day, hour, minute, second, start_time)
print(year, month, day, hour, minute, second)
with open('./data/聊天统计/time.html', 'w', encoding='utf-8') as f:
f.write(html)
def title(username):
conRemark = data.get_conRemark(username)
avatar = data.get_avator(username)
html = '''
<html>
<head>
<meta charset="UTF-8">
<title>聊天时间</title>
<style>
/* 倒计时开始 */
.gn_box {
padding: 0px 0px;
margin-bottom: 0px;
text-align: center;
background-color: #fff;
}
#t_d{
color: #982585;
font-size: 18px;
}
#t_h{
color: #8f79c1;
font-size: 18px;
}
#t_m{
color: #65b4b5;
font-size: 18px;
}
#t_s{
color: #83caa3;
font-size: 18px;
}
#text{
color: #E80017;
font-size: 18px;
}
#conRemark{
color: #A3005C;
font-size: 28px;
}
#table {
width: 600px; height: 100px;//可随意
position: absolute; left: 0; top: 0; right: 0; bottom: 0;
margin: auto; /* 有了这个就自动居中了 */
}
</style>
<!--倒计时开始-->
</head>
<body>
<div class="gn_box">
<table align="center" style="margin:0px auto;">
<tr valign="middle">
<td valign="middle">
<table>
<tr>
<td>
<img src="../../../%s" height="40" width="40"
alt="Avatar"/>
</td>
</tr>
</table>
</td>
<td align="center" valign="middle">
<table>
<tr>
<td>
<font id="conRemark">%s</font>
</td>
</tr>
</table>
</td>
</tr>
</table>
<div>
<span>
</span>
<span></span>
</div>
</div>
</body>
</html>
''' % (avatar, conRemark)
print('头像地址', avatar)
with open('./data/聊天统计/title.html', 'w', encoding='utf-8') as f:
f.write(html)
if __name__ == '__main__':
# send_recv_rate('wxid_wt2vsktnu4z022')
sport('wxid_wt2vsktnu4z022')