def recently():
    url = "https://ys.endata.cn/enlib-api/api/movie/getMovie_BoxOffice_Day_Chart.do"

    header = {
        "User-Agent": 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.82 Safari/537.36',
        "Cookie": 'JSESSIONID=b2685bfa-aa4f-4359-ae96-57befaf8d1ec; route=4e39643a15b7003e568cadd862137cf3; Hm_lvt_82932fc4fc199c08b9a83c4c9d02af11=1649834963,1649852471,1649859039,1649900037; Hm_lpvt_82932fc4fc199c08b9a83c4c9d02af11=1649917933'
    }

    post_BoxOffice_Day_data = {
        'r': 0.7572955414768414,
        'datetype': 'Day',
        'date': datetime.now().strftime('%Y-%m-%d'),
        'sdate': datetime.now().strftime('%Y-%m-%d'),
        'edate': datetime.now().strftime('%Y-%m-%d'),
        'bserviceprice': 1
    }

    res = requests.post(url, headers=header, data=post_BoxOffice_Day_data).text
    json_data = json.loads(res)
    data0 = json_data['data']['table0']
    data1 = json_data['data']['table1']

    movie_rank = []
    movie_details_MovieName = []
    movie_details_BoxOffice = []
    movie_details_ShowCount = []
    movie_details_AudienceCount = []
    movie_details_Attendance = []

    movie_percent_BoxOfficePercent = []
    movie_percent_ShowCountPercent = []
    movie_percent_AudienceCountPercent = []

    for i in range(10):
        movie_rank.append(data0[i]['Irank'])
        movie_details_MovieName.append(data0[i]['MovieName'])
        movie_details_BoxOffice.append(data0[i]['BoxOffice'])
        movie_details_ShowCount.append(data0[i]['ShowCount'])
        movie_details_AudienceCount.append(data0[i]['AudienceCount'])
        movie_details_Attendance.append(data0[i]['Attendance'])

def history():
    data = pd.read_csv("data/moviesBoxOffice.csv", encoding='gbk')
    data = np.array(data[:100]).tolist()
    return data

from GUI import uiob

if __name__ == '__main__':
    ui = uiob()
    ui.ui_process()

csv_file = 'data/moviesBoxOffice.csv'  # 設置csv文件的路徑
    data = pd.read_csv(csv_file, encoding='gbk')  # 使用pandas讀取csv文件中的數據

    data_type = data['影片主分類'].value_counts()  # 統(tǒng)計影片主分類的各類別數量
    data_BoxOffice = data['總票房(萬)'][:10]  # 獲取前10部電影的總票房數據

  # 創(chuàng)建柱狀圖a，展示票房TOP1000類型統(tǒng)計
    a = (
        Bar(init_opts=opts.InitOpts(height="450px", width="900px", theme=ThemeType.MACARONS, bg_color='white'))  # 設置圖表的基本參數
            .add_xaxis(list(data_type.index))  # 設置x軸數據
            .add_yaxis("類型", list(data_type))  # 設置y軸數據
            .set_global_opts(
                title_opts=opts.TitleOpts(title="票房TOP1000類型統(tǒng)計"),  # 設置圖表標題
                # datazoom_opts=[opts.DataZoomOpts(), opts.DataZoomOpts(type_="inside")],  # 設置數據縮放選項
            )
    )

    # 創(chuàng)建柱狀圖b，展示票房TOP10總票房統(tǒng)計
    b = (
        Bar(init_opts=opts.InitOpts(height="450px", width="900px", theme=ThemeType.LIGHT))  # 設置圖表的基本參數
            .add_xaxis(list(data['影片名稱'][:10]))  # 設置x軸數據
            .add_yaxis("票房", list(data_BoxOffice))  # 設置y軸數據
            .set_global_opts(
                title_opts=opts.TitleOpts(title="票房TOP10總票房統(tǒng)計"),  # 設置圖表標題
                # datazoom_opts=[opts.DataZoomOpts(), opts.DataZoomOpts(type_="inside")],  # 設置數據縮放選項
                xaxis_opts=opts.AxisOpts(axislabel_opts={"rotate": 20})  # 設置x軸標簽旋轉角度
            )
    )

    # 創(chuàng)建折線圖c，展示票房TOP10各類票房統(tǒng)計
    c = (
        Line(init_opts=opts.InitOpts(height="450px", width="900px", theme=ThemeType.LIGHT))  # 設置圖表的基本參數
            .add_xaxis(list(data['影片名稱'][:10]))  # 設置x軸數據
            .add_yaxis("總票房(萬)", list(data['總票房(萬)'][:10]), is_smooth=True)  # 設置y軸數據并進行平滑處理
            .add_yaxis("首日票房(萬)", list(data['首日票房(萬)'][:10]), is_smooth=True)  # 設置y軸數據并進行平滑處理
            .add_yaxis("首周票房(萬)", list(data['首周票房(萬)'][:10]), is_smooth=True)  # 設置y軸數據并進行平滑處理
            .add_yaxis("首周末票房(萬)", list(data['首周末票房(萬)'][:10]), is_smooth=True)  # 設置y軸數據并進行平滑處理
            .add_yaxis("點映票房(萬)", list(data['點映票房(萬)'][:10]), is_smooth=True)  # 設置y軸數據并進行平滑處理
            .set_series_opts(label_opts=opts.LabelOpts(is_show=True),  # 設置數據標簽顯示選項
                             linestyle_opts=opts.LineStyleOpts(width=3))  # 設置線條樣式
            .set_global_opts(
                title_opts=opts.TitleOpts(title="票房TOP10各類票房統(tǒng)計", pos_left='top'),  # 設置圖表標題及位置
                # datazoom_opts=[opts.DataZoomOpts(), opts.DataZoomOpts(type_="inside")],  # 設置數據縮放選項
                xaxis_opts=opts.AxisOpts(name="影片名稱", axislabel_opts={"rotate": 20}),  # 設置x軸標簽及標簽旋轉角度
                yaxis_opts=opts.AxisOpts(name="票房(萬)")  # 設置y軸標簽
            )
    )
	# 由于文章篇幅的問題，部分代碼省略