WeChatMsg/app/analysis/analysis.py

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from collections import Counter
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from PyQt5.QtCore import QFile, QTextStream, QIODevice
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import sys
sys.path.append('.')
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from app.DataBase import msg_db, MsgType
from app.person_pc import ContactPC
import jieba
from pyecharts import options as opts
from pyecharts.charts import Pie, WordCloud, Calendar, Bar, Line, Timeline, Grid
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from app.resources import resource_rc
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var = resource_rc.qt_resource_name
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charts_width = 800
charts_height = 450
wordcloud_width = 780
wordcloud_height = 720
def wordcloud(wxid):
import jieba
txt_messages = msg_db.get_messages_by_type(wxid, MsgType.TEXT)
if not txt_messages:
return {
'chart_data': None,
'keyword': "没有聊天你想分析啥",
'max_num': "0",
'dialogs': []
}
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text = ''.join(map(lambda x: x[7], txt_messages))
total_msg_len = len(text)
# 使用jieba进行分词并加入停用词
words = jieba.cut(text)
# 统计词频
word_count = Counter(words)
# 过滤停用词
stopwords_file = './app000/data/stopwords.txt'
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try:
with open(stopwords_file, "r", encoding="utf-8") as stopword_file:
stopwords = set(stopword_file.read().splitlines())
except:
file = QFile(':/data/stopwords.txt')
if file.open(QIODevice.ReadOnly | QIODevice.Text):
stream = QTextStream(file)
stream.setCodec('utf-8')
content = stream.readAll()
file.close()
stopwords = set(content.splitlines())
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filtered_word_count = {word: count for word, count in word_count.items() if len(word) > 1 and word not in stopwords}
# 转换为词云数据格式
data = [(word, count) for word, count in filtered_word_count.items()]
# text_data = data
data.sort(key=lambda x: x[1], reverse=True)
text_data = data[:100] if len(data) > 100 else data
# 创建词云图
keyword, max_num = text_data[0]
w = (
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)
)
)
# return w.render_embed()
return {
'chart_data': w.dump_options_with_quotes(),
'keyword': keyword,
'max_num': str(max_num),
'dialogs': msg_db.get_messages_by_keyword(wxid, keyword, num=5, max_len=12)
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}
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def calendar_chart(wxid, year):
calendar_data = msg_db.get_messages_by_days(wxid, year)
if not calendar_data:
return False
min_ = min(map(lambda x: x[1], calendar_data))
max_ = max(map(lambda x: x[1], calendar_data))
c = (
Calendar(init_opts=opts.InitOpts(width=f"{charts_width}px", height=f"{charts_height}px"))
.add(
"",
calendar_data,
calendar_opts=opts.CalendarOpts(range_=year)
)
.set_global_opts(
title_opts=opts.TitleOpts(title="2023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)
)
)
return {
'chart_data': c
}
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def month_count(wxid, year):
"""
每月聊天条数
"""
msg_data = msg_db.get_messages_by_month(wxid, year)
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,
label_opts=opts.LabelOpts(is_show=False),
itemstyle_opts=opts.ItemStyleOpts(color="skyblue"),
)
.set_global_opts(
title_opts=opts.TitleOpts(title="逐月统计", subtitle=None),
datazoom_opts=opts.DataZoomOpts(),
toolbox_opts=opts.ToolboxOpts(),
visualmap_opts=opts.VisualMapOpts(
min_=min(y_data),
max_=max(y_data),
dimension=1, # 根据第2个维度y 轴)进行映射
is_piecewise=False, # 是否分段显示
range_color=["#66ccff", "#003366"], # 设置颜色范围
type_="color",
pos_right="0%",
),
)
)
return {
'chart_data': c
}
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class Analysis:
pass
if __name__ == '__main__':
msg_db.init_database(path='../DataBase/Msg/MSG.db')
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# w = wordcloud('wxid_0o18ef858vnu22')
c = calendar_chart('wxid_27hqbq7vx5hf22', '2023')
c['chart_data'].render("./data/聊天统计/calendar.html")
print('c:::', c)
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m = month_count('wxid_27hqbq7vx5hf22', '2023')
m['chart_data'].render("./data/聊天统计/month_num.html")