WeChatMsg/app/analysis/analysis.py

from collections import Counter

from PyQt5.QtCore import QFile, QTextStream, QIODevice

import sys
sys.path.append('.')

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
from app.resources import resource_rc

var = resource_rc.qt_resource_name
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': []
    }
    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'
    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())
    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}字",
                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)
    }


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
    }


class Analysis:
    pass


if __name__ == '__main__':
    msg_db.init_database(path='../DataBase/Msg/MSG.db')
    # w = wordcloud('wxid_0o18ef858vnu22')
    c = calendar_chart('wxid_27hqbq7vx5hf22', '2023')
    c['chart_data'].render("./data/聊天统计/calendar.html")
    print('c:::', c)