test

.gitignore

@@ -0,0 +1,5 @@
+debug.log
+*/__pycache__
+*/*/__pycache__
+.idea
+*.pyc

app_test/ARIMA.py

@@ -0,0 +1,76 @@
+from typing import List, Union
+
+import numpy as np
+import pandas as pd
+import pmdarima as pm
+
+
+def train_ARIMA_model(endog: Union[np.ndarray, pd.Series],
+                      exog: Union[np.ndarray, pd.DataFrame] = None,
+                      exog_pred: Union[np.ndarray, pd.DataFrame] = None,
+                      steps: int = 20,
+                      information_criterion: str = 'aic') -> np.ndarray:
+    """
+    使用ARIMA模型对时间序列数据进行预测。
+
+    Args:
+        endog (Union[np.ndarray, pd.Series]): 要分析的时间序列数据。
+        exog (Union[np.ndarray, pd.DataFrame], optional): 用于改进ARIMA模型的外生变量。默认为None。
+        exog_pred (Union[np.ndarray, pd.DataFrame], optional): 预测期间的外生变量，必须与训练期间的外生变量列数一致。默认为None。
+        steps (int, optional, default=20): 预测期的长度。
+        information_criterion (str, optional, default='aic'): 选择模型的信息准则，'aic'或'bic'。
+
+    Returns:
+        np.ndarray: 预测结果。
+    """
+    model = pm.auto_arima(endog,
+                          X=exog,
+                          seasonal=False,
+                          information_criterion=information_criterion)
+
+    pred = model.predict(n_periods=steps, X=exog_pred)
+    return pred
+
+
+def ARIMA_run(input_data: pd.DataFrame,
+        forecast_target: str,
+        exog_columns: List[str],
+        steps: int = 20) -> pd.DataFrame:
+    """
+    主运行函数，用以读取数据、训练模型、预测数据。
+
+    Args:
+        input_data (pd.DataFrame): 输入的时间序列数据。
+        forecast_target (str): 需要被预测的目标变量的列名。
+        exog_columns (List[str]): 外生变量的列名列表。
+        steps (int, optional, default=20): 预测步长
+
+    Returns:
+        pd.DataFrame: 预测结果的DataFrame对象。
+    """
+    # 创建一个未来日期的索引，用于保存预测数据
+    future_index = pd.date_range(start=input_data.index.max() +
+                                 pd.Timedelta(days=1),
+                                 periods=steps)
+
+    # 创建一个用于保存预测外生变量的空数据帧
+    df_exog = pd.DataFrame(index=future_index)
+
+    # 循环每个外生变量，使用ARIMA模型进行训练和预测，然后将预测值保存到df_exog中
+    for exog in exog_columns:
+        pred = train_ARIMA_model(endog=input_data[exog], steps=steps)
+        df_exog[exog] = pred
+
+    # 使用ARIMA模型对目标变量进行训练和预测，注意这里将df_exog作为预测阶段的外生变量传入
+    pred = train_ARIMA_model(endog=input_data[forecast_target],
+                             exog=input_data[exog_columns],
+                             exog_pred=df_exog[exog_columns],
+                             steps=steps,
+                             information_criterion='bic')
+
+    # 根据预测值创建一个新的数据帧，用于保存预测的目标变量
+    forecast_df = pd.DataFrame(pred,
+                               index=future_index,
+                               columns=[forecast_target])
+
+    return forecast_df

app_test/Not in a section.py

@@ -0,0 +1 @@
+#

app_test/RF.py

@@ -0,0 +1,118 @@
+from typing import List
+
+import numpy as np
+import pandas as pd
+from sklearn.ensemble import RandomForestRegressor
+
+
+def random_forest_model(train_data: pd.DataFrame,
+                        forecast_target: str,
+                        exog_columns: List[str],
+                        future_data: pd.DataFrame,
+                        steps: int = 20) -> pd.DataFrame:
+    """
+    使用随机森林模型根据给定的特征和目标数据进行训练，并预测未来数据。
+
+    Args:
+        train_data (pd.DataFrame): 训练数据集。
+        forecast_target (str): 训练数据集中的目标列的列名。
+        exog_columns (List[str): 训练数据集用于预测的特征列名的列表。
+        future_data (pd.DataFrame): 存储未来预测所用的外生变量的数据集。
+        steps (int, optional, default=20): 要进行预测的天数。
+
+    Returns:
+        pd.DataFrame: 存储预测结果的数据表。
+    """
+    # 制作输入特征和目标变量
+    X = train_data[exog_columns].values
+    y = train_data[forecast_target].values
+    X_test = future_data[exog_columns].values
+
+    model = RandomForestRegressor(n_estimators=1200,
+                                  max_depth=8,
+                                  min_samples_split=2,
+                                  random_state=0)
+
+    model.fit(X, y)
+
+    pred = model.predict(X_test[-steps:])
+
+    forecast_df = pd.DataFrame(
+        pred,
+        index=pd.date_range(start=train_data.index.max() +
+                            pd.Timedelta(days=1),
+                            periods=steps),
+        columns=[forecast_target])
+
+    return forecast_df
+
+
+def forecast_future(data: np.ndarray, steps: int = 20) -> List:
+    """
+    使用随机森林预测未来的数据。
+
+    Args:
+        data (np.ndarray): 已知的用于预测的数据。
+        steps (int, optional, default=20): 要进行预测的天数。
+
+    Returns:
+        List: 存放预测结果的列表。
+    """
+    # 制作输入特征和目标变量
+    X = data[:-1].reshape(-1, 1)
+    y = data[1:]
+    X_test = [y[-1]]
+
+    # 创建和训练随机森林模型
+    model = RandomForestRegressor(n_estimators=1200,
+                                  max_depth=8,
+                                  min_samples_split=2,
+                                  random_state=0)
+
+    model.fit(X, y)
+
+    # 创建一个列表保存预测结果
+    pred = []
+
+    # 迭代预测下一个数据点
+    for _ in range(steps):
+        y_pred = model.predict(np.array([X_test[-1]]).reshape(-1, 1))
+        pred.append(y_pred)
+
+        # 将预测的数据点添加到下一轮的输入
+        X_test.append(y_pred)
+    return pred
+
+
+def RF_run(input_data: pd.DataFrame,
+        forecast_target: str,
+        exog_columns: List[str],
+        steps: int = 20) -> pd.DataFrame:
+    """
+    执行数据读取、预处理、模型训练、预测并绘图等一系列步骤的主函数。
+
+    Args:
+        input_data (pd.DataFrame): 存储原始数据的DataFrame。
+        forecast_target (str): 需要被预测的目标列名。
+        exog_columns (List[str]): 特征列名的列表。
+        steps (int, optional, default=20): 需要进行预测的天数。
+
+    Returns:
+        pd.DataFrame: 存储预测结果的数据表。
+    """
+    # 创建一个未来日期的索引，用于保存预测数据
+    future_index = pd.date_range(start=input_data.index.max() +
+                                 pd.Timedelta(days=1),
+                                 periods=steps)
+
+    # 创建一个用于保存预测外生变量的空数据帧
+    df_exog = pd.DataFrame(index=future_index)
+
+    for exog in exog_columns:
+        pred = forecast_future(input_data[exog].values, steps=steps)
+        df_exog[exog] = pred
+
+    df_processed = random_forest_model(input_data, forecast_target,
+                                       exog_columns, df_exog, steps)
+
+    return df_processed

app_test/VAR.py

@@ -0,0 +1,94 @@
+import json
+from typing import List
+
+import numpy as np
+# from statsmodels.tsa.api import VAR
+import pandas as pd
+import statsmodels.api as sm
+
+
+def convert_timestamp_index(data: pd.DataFrame,
+                            to_period: bool) -> pd.DataFrame:
+    """
+    根据to_period参数，选择将数据的时间索引转换为DatetimeIndex或PeriodIndex。
+
+    Args:
+        data (pd.DataFrame): 输入的数据。
+        to_period (bool): 如果为True，则将DatetimeIndex转换为PeriodIndex；
+                          如果为False，则将PeriodIndex转换为DatetimeIndex。
+
+    Returns:
+        pd.DataFrame: 索引被转换后的数据。
+    """
+    if to_period:
+        data.index = pd.DatetimeIndex(data.index).to_period('D')
+    else:
+        data.index = data.index.to_timestamp()
+
+    return data
+
+
+def train_VAR_model(data: pd.DataFrame, max_lags: int = 30):
+    """
+    利用输入的时间序列数据训练VAR模型，通过比较BIC值确定最优滞后阶数。
+
+    Args:
+        data (pd.DataFrame): 用于模型训练的时间序列数据。
+        max_lags (int, default=30): 最大滞后阶数，默认为 30。
+
+    Returns:
+        VARResultsWrapper: 训练得到的VAR模型。
+    """
+    model = sm.tsa.VAR(data)
+    criteria = []
+    lags = range(1, max_lags + 1)
+
+    # 通过比较每个滞后阶数模型的BIC值，选择最优滞后阶数
+    for lag in lags:
+        result = model.fit(maxlags=lag)
+        criteria.append(result.bic)
+
+    # 使用最优滞后阶数再次训练模型
+    best_lag = lags[criteria.index(min(criteria))]
+    results = model.fit(maxlags=best_lag)
+
+    return results
+
+
+def VAR_run(input_data: pd.DataFrame,
+        forecast_target: str,
+        _: List[str],
+        steps: int = 20) -> pd.DataFrame:
+    """
+    运行函数，执行一系列步骤，包括索引转换、训练模型、数据预测。
+
+    Args:
+        input_data (pd.DataFrame): 输入的DataFrame数据。
+        forecast_target (str): 需要被预测的目标变量的列名。
+        _ (List[str]): 占位参数，用于保持和其他模型函数的接口一致性。
+        steps (int, default=20): 预测步数。
+
+    Returns:
+        pd.DataFrame: 预测结果的DataFrame对象。
+    """
+    input_data = input_data.replace([np.inf, -np.inf], np.nan).dropna()
+    # 将DataFrame对象的时间索引转换为PeriodIndex
+    input_data = convert_timestamp_index(input_data, to_period=True)
+    # 添加正则化项以确保协方差矩阵正定
+    input_data += np.random.normal(0, 1e-10, input_data.shape)
+    # 训练 VAR 模型
+    model = train_VAR_model(input_data, max_lags=10)
+
+    # 将DataFrame对象的时间索引转回原样
+    input_data = convert_timestamp_index(input_data, to_period=False)
+
+    # 利用VAR模型进行预测
+    pred = model.forecast(input_data.values[-model.k_ar:], steps=steps)
+    forecast_df = pd.DataFrame(
+        pred,
+        index=pd.date_range(start=input_data.index.max() +
+                                  pd.Timedelta(days=1),
+                            periods=steps),
+        columns=input_data.columns)
+
+    return forecast_df[forecast_target]

app_test/add_fund_data.py

@@ -0,0 +1,49 @@
+import os
+
+import pandas as pd
+# add_fund_data.py
+from app_test.tiantian_jijin_spider import get_fund_data_by_code
+
+
+def normalize_df(df):
+    """
+    对 DataFrame 对象进行最小最大标准化。
+
+    Args:
+        df (DataFrame): 要进行标准化的 DataFrame 对象。
+
+    Returns:
+        df_normalized (DataFrame): 进行最小最大标准化后的 DataFrame 对象。
+    """
+    # 如果列的数据类型是布尔值、有符号整型、无符号整型、浮点数或复数浮点数的话，就进行最大最小标准化，否则保留原列的数据
+    df_normalized = df.apply(lambda x: (x - x.min()) / (x.max() - x.min())
+    if x.dtype.kind in 'biufc' else x)
+
+    return df_normalized
+def add_fund_data(fund_code):
+    df = pd.read_csv('filled_row_data.csv')
+    # print(df)
+    fund_data = get_fund_data_by_code(fund_code)
+
+    # print('基金数据')
+
+
+    # print(fund_data)
+    #将需要预测的因变量基金数据添加到预处理后数据
+    # del fund_data['id']  # 删除 'id' 列
+    df_merged = pd.merge(df, fund_data, how='inner', on='date')
+    df_merged['date'] = pd.to_datetime(df_merged['date'])
+    df_merged.set_index('date', inplace=True)
+    # print(type(df_merged.index.max()))
+
+    # print('开始保存数据')
+    # df_merged.to_csv('row_data.csv',encoding='utf-8')
+    # 对缺失值进行线性插值(其他方法?多项插值?)
+    df_merged = df_merged.interpolate()
+
+    # 如果有剩余的NaN值，删除这些行
+    df_merged.dropna(inplace=True)
+    # df_merged = normalize_df(df_merged)
+    # print(df_merged)
+    print('添加基金数据成功')
+    return df_merged

app_test/admin.py

@@ -0,0 +1,3 @@
+from django.contrib import admin
+
+# Register your models here.

app_test/apps.py

@@ -0,0 +1,10 @@
+# myapp/apps.py
+from django.apps import AppConfig
+
+class AppTestConfig(AppConfig):
+    name = 'app_test'
+
+    def ready(self):
+        # from .tasks import setup_periodic_tasks
+        # setup_periodic_tasks()
+        pass

app_test/beijing_zhoubao_spider.py

@@ -0,0 +1,148 @@
+import asyncio
+import os
+import random
+import re
+import time
+from datetime import datetime, timedelta, date
+from multiprocessing.pool import ThreadPool
+
+import django
+import matplotlib.pyplot as plt
+import pandas as pd
+import requests
+from django.db import IntegrityError
+from lxml import etree
+from pylab import mpl
+
+from .models import BeijingWeekData
+from .user_agents_pool import agent_list  # 确保 user_agents_pool.py 文件在当前目录，并包含 agent_list
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'liugan_yuce.liugan_yuce.settings')
+django.setup()
+
+mpl.rcParams["font.sans-serif"] = ["SimHei"]
+mpl.rcParams["axes.unicode_minus"] = False
+
+class GetBeijingGanranShuju(object):
+    def __init__(self):
+        user_agent = random.choice(agent_list)
+        self.headers = {
+            "User-Agent": user_agent,
+        }
+        self.data = []
+        self.link_list_2023 = []
+        self.link_list_2024 = []
+
+    def get_Link_2023(self, url):
+        response = requests.get(url=url, headers=self.headers)
+        time.sleep(random.uniform(1, 3))
+        html = response.content.decode("utf-8")
+        link_2023 = re.findall('<a href="[.]*?(/.*?2023.*?)">', html)
+        for i in link_2023:
+            url_head = "https://www.bjcdc.org/"
+            i = url_head + i
+            self.link_list_2023.append(i)
+        return self.link_list_2023
+
+    def get_Link_2024(self, url):
+        response = requests.get(url=url, headers=self.headers)
+        time.sleep(random.uniform(1, 3))
+        html = response.content.decode("utf-8")
+        link_2024 = re.findall('<a href="[.]*?(/.*?2024.*?)">', html)
+        for i in link_2024:
+            url_head = "https://www.bjcdc.org/"
+            i = url_head + i
+            self.link_list_2024.append(i)
+        return self.link_list_2024
+
+    def get_content_2023(self, link):
+        response = requests.get(url=link, headers=self.headers)
+        import time
+        time.sleep(random.uniform(1, 3))
+        html = response.content.decode("utf-8")
+        number_list = re.findall(r'(\d+)例', html, re.DOTALL)
+        number = number_list[0] if number_list else ''
+        time_list = re.findall(r'(\d+月\d+日至2023年\d+月\d+日)', html)
+        if time_list:
+            time_str = time_list[0]
+            time1 = re.match(r'\d+月\d+日?', time_str).group()
+            month_number = re.match(r'\d{1,2}', time1).group()
+            day_number = re.findall(r'月(\d{1,2})', time1)[0]
+            time = f'2023-{int(month_number):02d}-{int(day_number):02d}'
+            if number.isdigit():
+                self.data.append([time, number])
+
+    def get_content_2024(self, link):
+        response = requests.get(url=link, headers=self.headers)
+        import time
+        time.sleep(random.uniform(1, 3))
+        html = response.content.decode("utf-8")
+        if '周' not in html:
+            number_list = re.findall(r'(\d+)例', html, re.DOTALL)
+            number = number_list[0] if number_list else ''
+            time_list = re.findall(r'(\d+年\d+月)', html)
+            if time_list:
+                time = time_list[0]
+                if number.isdigit():
+                    self.month_data.append([time, number])
+
+def get_beijing_zhoubao():
+    # 创建获取 获取北京传染病数据 类的实例
+    get_beijing_ganran_shuju = GetBeijingGanranShuju()
+    url_1 = ['https://www.bjcdc.org/cdcmodule/jkdt/yqbb/index.shtml']
+    url_list2 = [f'https://www.bjcdc.org/cdcmodule/jkdt/yqbb/index_{i}.shtml' for i in range(2, 5)]
+    url_list = url_1 + url_list2
+
+    # 2023
+    for url in url_list:
+        get_beijing_ganran_shuju.get_Link_2023(url)
+
+    # 使用多进程处理每个块
+    pool = ThreadPool(100)
+    pool.map(get_beijing_ganran_shuju.get_content_2023, reversed(get_beijing_ganran_shuju.link_list_2023))
+    pool.close()
+    pool.join()
+
+    # 2024
+    get_beijing_ganran_shuju.month_data = []
+    for url in url_list:
+        get_beijing_ganran_shuju.get_Link_2024(url)
+    for x in reversed(get_beijing_ganran_shuju.link_list_2024):
+        get_beijing_ganran_shuju.get_content_2024(x)
+
+    df = pd.DataFrame(get_beijing_ganran_shuju.data, columns=['日期', '感染数量'])
+    df = df[df['日期'] != '2023-12-26']
+    df['日期'] = pd.to_datetime(df['日期'])
+    df_week = df.sort_values(by='日期')
+    from datetime import date
+    today = date.today()
+    start_date = datetime(2024, 1, 2)
+    end_date = datetime.now()
+
+    dates = []
+    while start_date <= end_date:
+        dates.append(start_date)
+        start_date += timedelta(days=7)
+
+    infections = {datetime.strptime(month, "%Y年%m月").strftime("%Y-%m"): int(int(total) / 4) for month, total in get_beijing_ganran_shuju.month_data}
+
+    date_infections = []
+    for date in dates:
+        month_key = date.strftime("%Y-%m")
+        if month_key in infections:
+            date_infections.append([date, infections[month_key]])
+
+    month_df = pd.DataFrame(date_infections, columns=['日期', '感染数量'])
+    df = pd.concat([df_week, month_df])
+    df = df.rename(columns={'日期': 'date', '感染数量': 'beijing_number'})
+    print(df)
+
+    converted_data = df.values.tolist()
+    for data in converted_data:
+        obj, created = BeijingWeekData.objects.get_or_create(date=data[0], defaults={'infection_number': data[1]})
+        if created:
+            print(f"Added new record for date {data[0]} with infections {data[1]}")
+        else:
+            print(f"Record for date {data[0]} already exists.")
+    print('成功载入数据库')
+

app_test/data_merged.py

@@ -0,0 +1,71 @@
+import numpy as np
+import pandas as pd
+from pylab import mpl
+
+mpl.rcParams["font.sans-serif"] = ["SimHei"]
+mpl.rcParams["axes.unicode_minus"] = False
+
+df_baidu = pd.read_csv('../data/baidu_index.csv',encoding = 'utf-8')# 百度流感指数
+df_beijing = pd.read_csv('../data/beijin_zhoubao.csv',encoding = 'utf-8')# 北京传染病周报
+df_liugan = pd.read_csv('../data/liugan_zhoubao.csv',encoding = 'utf-8')# 流感周报
+df_hx = pd.read_csv('../data/hx_jijin_data.csv',encoding = 'utf-8')# 流感基金——华商医药医疗行业
+df_gf = pd.read_csv('../data/gf_jijin_data.csv',encoding = 'utf-8')# 流感基金——广发创新医疗两年持有混合
+# 确保日期列是日期类型
+df_baidu['date'] = pd.to_datetime(df_baidu['date'])
+df_beijing['date'] = pd.to_datetime(df_beijing['date'])
+df_liugan['date'] = pd.to_datetime(df_liugan['date'])
+df_hx['date'] = pd.to_datetime(df_hx['date'])
+df_gf['date'] = pd.to_datetime(df_gf['date'])
+df1 = df_baidu
+df2 = df_beijing
+df3 = df_liugan
+df4 = df_hx
+df5 = df_gf
+# 创建一个完整的日期范围
+all_dates = pd.date_range(start=min(df1['date'].min(), df2['date'].min(), df3['date'].min()),
+                          end=max(df1['date'].max(), df2['date'].max(), df3['date'].max()))
+# 重新索引每个DataFrame以包括所有日期
+df1 = df1.set_index('date').reindex(all_dates).ffill().reset_index().rename(columns={'index': 'date'})
+df2 = df2.set_index('date').reindex(all_dates).ffill().reset_index().rename(columns={'index': 'date'})
+df3 = df3.set_index('date').reindex(all_dates).ffill().reset_index().rename(columns={'index': 'date'})
+df4 = df4.set_index('date').reindex(all_dates).ffill().reset_index().rename(columns={'index': 'date'})
+df5 = df5.set_index('date').reindex(all_dates).ffill().reset_index().rename(columns={'index': 'date'})
+df1.drop(columns=['Unnamed: 0'], inplace=True)
+df2.drop(columns=['Unnamed: 0'], inplace=True)
+df3.drop(columns=['Unnamed: 0'], inplace=True)
+df4.drop(columns=['Unnamed: 0'], inplace=True)
+df5.drop(columns=['Unnamed: 0'], inplace=True)
+# 合并数据集
+df_merged = df1.merge(df2, on='date', how='outer').merge(df3, on='date', how='outer').merge(df4, on='date', how='outer').merge(df5, on='date', how='outer')
+df_merged = df_merged[['date', 'liugan_index', 'beijing_number', 'infection_number','hx_jijin_data','gf_jijin_data']]
+
+# 输出合并后的DataFrame
+# print(df_merged.head(20))
+#缺失值处理
+# df = df_merged.dropna(how= 'any')
+# 确保'date'列是日期格式，并设置为索引
+df_merged['date'] = pd.to_datetime(df_merged['date'])
+df_merged.set_index('date', inplace=True)
+
+# 只对非日期列转换数据类型
+numerical_columns = df_merged.columns.difference(['date'])  # 排除'date'列
+df_merged[numerical_columns] = df_merged[numerical_columns].astype(float)
+
+# 确保数据类型正确，并查找是否有NaN或inf值
+df_merged = df_merged.astype(float)
+print("Initial NaN or Inf check:", df_merged.isin([np.inf, -np.inf]).sum(), df_merged.isna().sum())
+
+# 处理NaN值和无穷大值
+df_merged.replace([np.inf, -np.inf], np.nan, inplace=True)
+df_merged.ffill()  # 使用前向填充处理NaN值
+df_merged.dropna(inplace=True)  # 如果有剩余的NaN值，删除这些行
+df_merged.to_csv('../data/merged_data.csv',encoding='utf-8')
+from sklearn.preprocessing import MinMaxScaler
+scaler = MinMaxScaler()
+# 选择需要归一化的列
+columns_to_scale = ['liugan_index', 'beijing_number', 'infection_number','hx_jijin_data','gf_jijin_data']
+# 对选定的列进行归一化处理
+df_merged[columns_to_scale] = scaler.fit_transform(df_merged[columns_to_scale])
+# 查看归一化后的数据
+print(df_merged.head())
+df_merged.to_csv('../data/merged_data.csv',index=True,encoding = 'utf-8')

app_test/deley_test.py

@@ -0,0 +1,2 @@
+from app_test.tasks import my_scheduled_task
+my_scheduled_task.delay()

app_test/forms.py

@@ -0,0 +1,39 @@
+from django import forms
+from django.contrib.auth import get_user_model
+
+from .models import CaptchaModel, Fund
+
+User = get_user_model()
+class FundForm(forms.ModelForm):
+    class Meta:
+        model = Fund
+        fields = ['fund_id', 'fund_name']
+class RegisterForm(forms.Form):
+    username = forms.CharField(max_length=20,min_length=2,error_messages={
+        'required':'请输入用户名',
+        'max_length':'用户长度在2~20之间',
+        'min_length':'用户长度在2~20之间'
+    })
+    email = forms.EmailField(error_messages={'required':'请输入邮箱','invalid':'请输入一个正确的邮箱！'})
+    password = forms.CharField(max_length=20,min_length=6)
+
+    def clean_email(self):
+        email = self.cleaned_data.get('email')
+        exists = User.objects.filter(email=email).exists()
+        if exists:
+            raise forms.ValidationError('邮箱已经被注册')
+        return email
+    def clean_captcha(self):
+        captcha = self.cleaned_data_get('captcha')
+        email = self.cleaned_data_get('email')
+        creat_time = self.cleaned_data_get('creat_time')
+        captcha_model = Captcha.objects.filter(email=email,captcha=captcha).first()
+        if not captcha_model:
+            raise foroms.ValidationError('验证码错误')
+        return captcha
+
+class LoginForm(forms.Form):
+    email = forms.EmailField(error_messages={"required": '请传入邮箱！', 'invalid': '请传入一个正确的邮箱！'})
+    password = forms.CharField(max_length=20, min_length=6)
+    remember = forms.IntegerField(required=False)
+

app_test/get_baidu_index.py

@@ -0,0 +1,129 @@
+import random
+import re
+import time
+from datetime import datetime, timedelta, date
+
+import pandas as pd
+import requests
+from pylab import mpl
+
+from .models import BaiduData
+from .user_agents_pool import *
+
+mpl.rcParams["font.sans-serif"] = ["SimHei"]
+mpl.rcParams["axes.unicode_minus"] = False
+
+class DownloadBaiDuIndex(object):
+#创建一个类来下载百度指数
+    def __init__(self, cookie):
+        self.cookie = cookie
+        #配置请求头
+        self.headers = {
+            "Connection": "keep-alive",
+            "Accept": "application/json, text/plain, */*",
+            "User-Agent": "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36",
+            "Sec-Fetch-Site": "same-origin",
+            "Sec-Fetch-Mode": "cors",
+            "Sec-Fetch-Dest": "empty",
+            "Referer": "https://index.baidu.com/v2/main/index.html",
+            "Accept-Language": "zh-CN,zh;q=0.9",
+            'Cookie': self.cookie,
+            "Host": "index.baidu.com",
+            "X-Requested-With": "XMLHttpRequest",
+            "Cipher-Text": "1656572408684_1656582701256_Nvm1pABkNsfD7V9VhZSzzFiFKylr3l5NR3YDrmHmH9yfFicm+Z9kmmwKVqVV6unvzAEh5hgXmgelP+OyOeaK8F21LyRVX1BDjxm+ezsglwoe1yfp6lEpuvu5Iggg1dz3PLF8e2II0e80ocXeU0jQFBhSbnB2wjhKl57JggTej12CzuL+h9eeVWdaMO4DSBWU2XX6PfbN8pv9+cdfFhVRHCzb0BJBU3iccoFczwNQUvzLn0nZsu0YPtG5DxDkGlRlZrCfKMtqKAe1tXQhg3+Oww4N3CQUM+6A/tKZA7jfRE6CGTFetC7QQyKlD7nxabkQ5CReAhFYAFAVYJ+sEqmY5pke8s3+RZ6jR7ASOih6Afl35EArbJzzLpnNPgrPCHoJiDUlECJveul7P5vvXl/O/Q==",
+
+        }
+    def decrypt(self, ptbk, index_data):
+        n = len(ptbk) // 2
+        a = dict(zip(ptbk[:n], ptbk[n:]))
+        return "".join([a[s] for s in index_data])
+    def get_index_data_json(self, keys, start=None, end=None):
+        words = [[{"name": key, "wordType": 1}] for key in keys]
+        words = str(words).replace(" ", "").replace("'", "\"")
+        url = f'http://index.baidu.com/api/SearchApi/index?area=0&word={words}&area=0&startDate={start}&endDate={end}'
+        res = requests.get(url, headers=self.headers)
+        html = res.content.decode("UTF-8")
+        data = res.json()['data']
+        uniqid = data['uniqid']
+        url = f'http://index.baidu.com/Interface/ptbk?uniqid={uniqid}'
+        # print(url)
+        res = requests.get(url, headers=self.headers)
+        html2 = res.content.decode("UTF-8")
+        time.sleep(3)
+        ptbk = res.json()['data']
+        result = {}
+        result["startDate"] = start
+        result["endDate"] = end
+        for userIndexe in data['userIndexes']:
+            name = userIndexe['word'][0]['name']
+            tmp = {}
+            index_all = userIndexe['all']['data']
+            index_all_data = [int(e) for e in self.decrypt(ptbk, index_all).split(",")]
+            tmp["all"] = index_all_data
+            index_pc = userIndexe['pc']['data']
+            index_pc_data = [int(e) for e in self.decrypt(ptbk, index_pc).split(",")]
+            tmp["pc"] = index_pc_data
+            index_wise = userIndexe['wise']['data']
+            index_wise_data = [int(e)
+                               for e in self.decrypt(ptbk, index_wise).split(",")]
+            tmp["wise"] = index_wise_data
+            result[name] = tmp
+        return result
+    def GetIndex(self, keys, start=None, end=None):
+        today = date.today()
+        if start is None:
+            start = str(today - timedelta(days=8))
+        if end is None:
+            end = str(today - timedelta(days=2))
+        try:
+            raw_data = self.get_index_data_json(keys=keys, start=start, end=end)
+            raw_data = pd.DataFrame(raw_data[keys[0]])
+            raw_data.index = pd.date_range(start=start, end=end)
+        except Exception as e:
+            print(e)
+            raw_data = pd.DataFrame({'all': [], 'pc': [], 'wise': []})
+            # 分别表示总计，PC端，移动端
+        finally:
+            return raw_data
+
+def get_baidu_index():
+    cookie = 'BIDUPSID=84B8FDC3134DE2D8E0E6B86E2BFCC3DC; PSTM=1697213335; BAIDUID=84B8FDC3134DE2D8E0E6B86E2BFCC3DC:SL=0:NR=10:FG=1; BAIDUID_BFESS=84B8FDC3134DE2D8E0E6B86E2BFCC3DC:SL=0:NR=10:FG=1; Hm_lvt_d101ea4d2a5c67dab98251f0b5de24dc=1701483117; BDUSS=RUU3ZtM0RwcU9VeW0zV0ltMGhWZXNvd3hoMXc3YmtoZmxOOXktTDNFM3JMNUpsRUFBQUFBJCQAAAAAAQAAAAEAAADwtxh-AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOuiamXromplSH; SIGNIN_UC=70a2711cf1d3d9b1a82d2f87d633bd8a04514997999zSyIXXcI1QTeZqm4c8hyxlWksvkordeK7x1ZPceY2CR3NLufUujm7MOZ3p6TYUaUvd3Qjet3M3JcQfM5hy8%2FuP9HNu4dCG7B6RoS3S4L25PQZlnh3joEA0cArzaShqjtNyIlDOFD7nF4m%2FHL%2FxUXMnks0IYh6ZyO0xZ1iCY3pJruPDK3dBKJPJ%2BTsLIUPckisDLv5o4FBynumqVmNrIcRJauvv%2BcQtioTBjGMshtfwaZjDT2WCz713NtlH6uxabBdf8gRHMu6r8uSWjXKPG3dAflk5ycDG%2F1BoioLYK697k%3D91877884685963653296273632513192; __cas__rn__=451499799; __cas__st__212=b5f51a7b5b20cb36d3ced6764c8b0e567b436d1a2aa46e1f861833387e9d43267ac11419a4d630081274b162; __cas__id__212=51862268; CPTK_212=1671659797; CPID_212=51862268; bdindexid=473uetvtav5o3d1jfb3m9s3d34; RT="z=1&dm=baidu.com&si=0751b751-3767-4525-9566-4b5f1cd26e3a&ss=lpnhlcxe&sl=8&tt=fr3&bcn=https%3A%2F%2Ffclog.baidu.com%2Flog%2Fweirwood%3Ftype%3Dperf"; Hm_lpvt_d101ea4d2a5c67dab98251f0b5de24dc=1701490081; ab_sr=1.0.1_MjQ2ODNmNmI4NzI5MzFhZDAxYzIzZDQzYmMyZDAwOTZiYWE5NDY4OGQxMDNkYzA0NGM4OGU1ZDk5YjZmYjdkMTkyNTYxMDJiZmVlMjllNGU1MWQ1YjgwYTAzZGQxMWFkYzEyMDQ3ZjYxMThkNWI1NTg1ZTliOWVmYTQ1M2E3NjhmMDUzNTllNjU3YzYwNDlhOTU0ODRhMzJlZDAwMWY5Yg==; BDUSS_BFESS=RUU3ZtM0RwcU9VeW0zV0ltMGhWZXNvd3hoMXc3YmtoZmxOOXktTDNFM3JMNUpsRUFBQUFBJCQAAAAAAQAAAAEAAADwtxh-AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOuiamXromplSH'
+    # 初始化一个实例
+    downloadbaiduindex = DownloadBaiDuIndex(cookie=cookie)
+    # key = input('请输入关键词')
+    key = '流感'
+    # 获取当天时间
+
+    # from datetime import date
+    today = str(date.today())
+    data = downloadbaiduindex.get_index_data_json(keys=[key], start='2023-01-01', end=today)
+    liugan_data = (data['流感']['all'])
+
+    # 设定起始日期和终止日期
+    start_date = date(2023, 1, 1)
+    end_date = datetime.now().date() + timedelta(days=7)
+
+    # 创建日期列表，间隔为一周
+    date_list = []
+    current_date = start_date
+    while current_date <= end_date:
+        date_list.append(current_date)
+        current_date += timedelta(weeks=1)  # 每次增加一周
+    date_list = date_list[:len(liugan_data)]
+
+    df = pd.DataFrame({
+        'date': date_list,
+        'liugan_index': liugan_data
+    })
+    df = df.drop(df.index[-1])
+    print(df)
+    converted_data = df.values.tolist()
+    for data in converted_data:
+        # 使用get_or_create来避免重复数据
+        obj, created = BaiduData.objects.get_or_create(date=data[0], defaults={'liugan_index': data[1]})
+        if created:
+            print(f"Added new record for date {data[0]} with infections {data[1]}")
+        else:
+            print(f"Record for date {data[0]} already exists.")
+    print('成功载入数据库')
+# 调用函数

app_test/liugan_zhoubao_spider.py

@@ -0,0 +1,125 @@
+import datetime
+import os
+import random
+import re
+import time
+from datetime import datetime
+from multiprocessing.pool import ThreadPool
+
+import django
+import requests
+from app_test.models import LiuganWeekData
+from django.db import IntegrityError
+from lxml import etree
+from tqdm import *
+
+from .user_agents_pool import *
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'liugan_yuce.liugan_yuce.settings')
+django.setup()
+
+# 现在你可以安全地使用 Django 的模型和其他组件了
+
+url_1=['https://ivdc.chinacdc.cn/cnic/zyzx/lgzb/index.htm']
+url_list2=[f'https://ivdc.chinacdc.cn/cnic/zyzx/lgzb/index_{i}.htm' for i in range(1,4)]
+url_list=url_1+url_list2
+
+user_Agent = random.choice(agent_list)
+headers = {
+    "User-Agent": user_Agent,
+}
+def get_Link(url):
+    link_list = []
+    response = requests.get(url=url, headers=headers)
+    time.sleep(1)
+    html = response.content.decode("utf-8")
+    tree = etree.HTML(html)
+    li_list = tree.xpath('/html/body/div[2]/div/div[1]/div/div[2]/ul/li')
+    # print(len(li_list))
+    for table in li_list:
+        link = table.xpath("./span[1]/a/@href")[0]
+        link = link.replace('.','')
+        url_head = "https://ivdc.chinacdc.cn/cnic/zyzx/lgzb"
+        link = url_head + link
+        link = link.replace('htm','.htm')
+        link_list.append(link)
+    return link_list
+
+
+def get_content(link):
+    response = requests.get(url=link, headers=headers)
+    time.sleep(1.5)
+    html = response.content.decode("utf-8")
+    # print(html)
+    tree = etree.HTML(html)
+    date = tree.xpath('/html/body/div[2]/div/div[1]/div/div[2]/div/div/div/p[1]/span/text()')[1]
+    # print(time)
+    year = tree.xpath('/html/body/div[2]/div/div[1]/div/div[2]/div/div/div/p[1]/span/span/text()')[0]
+    # print(year)
+    date = year+date
+    date = date.replace('）','')
+    date_format = '%Y年%m月%d日'
+    target_date = datetime.strptime(date, date_format)
+    # print(target_date)
+    start_time = '2023年2月18日'
+    start_date = datetime.strptime(start_time, date_format)
+    if target_date > start_date:
+        specific_number = re.search(r'(.?<=font-size: 10pt;\">|<span lang=\"EN-US\">)(\d+)(?=</span>起|起)', html)
+        number = specific_number.group(2) if specific_number else None
+        if number == None:
+            pattern = r'<span lang="EN-US" style="font-size: 10pt;">(\d+)</span><span style="font-size: 10pt'
+            number_list = re.findall(pattern,html)
+            if number_list:
+                number = number_list[0]
+            else:
+                number = 0
+            # print(html)
+        return [date, number]
+    else: return None
+
+def get_liuganzhoubao():
+    link_list_all = []
+    for url in url_list:
+        link_list_all += get_Link(url)
+    link_list_all = list(reversed(link_list_all))
+
+    data_all = []
+    # 使用多进程处理
+    pool = ThreadPool(30)
+    data_list = pool.map(get_content, link_list_all)
+    pool.close()
+    pool.join()
+    for data in data_list:
+        if data:
+            data_all.append(data)
+    # print(data_all)
+
+    def convert_date_format(date_str):
+        # 去除'年', '月', '日' 字符，转换为 '2023-2-19' 格式
+        date_str = date_str.replace('年', '-').replace('月', '-').replace('日', '')
+        # 将字符串转换为日期对象
+        date_obj = datetime.strptime(date_str, '%Y-%m-%d')
+        # 将日期对象格式化为 '2023-02-19' 形式
+        new_date_str = date_obj.strftime('%Y-%m-%d')
+        return new_date_str
+
+    # 应用转换函数到数据列表
+    converted_data = [[convert_date_format(item[0]), item[1]] for item in data_all]
+    print(converted_data)
+
+
+    # 数据载入数据库LiuganWeekData表
+    for data in converted_data:
+        # 使用get_or_create来避免重复数据
+        obj, created = LiuganWeekData.objects.get_or_create(date=data[0], defaults={'infection_number': data[1]})
+        if created:
+            print(f"Added new record for date {data[0]} with infections {data[1]}")
+        else:
+            print(f"Record for date {data[0]} already exists.")
+    print('成功载入数据库')
+
+
+# 调用函数
+# get_liuganzhoubao()
+
+

app_test/management/commands/setup_periodic_tasks.py

@@ -0,0 +1,36 @@
+# # app_test/management/commands/test_celery_beat.py
+# from django.core.management.base import BaseCommand
+# from django_celery_beat.models import CrontabSchedule, PeriodicTask
+# from django.utils.timezone import now
+# import logging
+#
+# logger = logging.getLogger(__name__)
+#
+# class Command(BaseCommand):
+#     help = 'Test Celery Beat and Worker'
+#
+#     def handle(self, *args, **kwargs):
+#         logger.info("Running test_celery_beat command")
+#
+#         schedule, created = CrontabSchedule.objects.get_or_create(
+#             minute='*/1',  # 每分钟运行一次
+#             hour='*',
+#             day_of_week='*',
+#             day_of_month='*',
+#             month_of_year='*',
+#         )
+#
+#         # 删除已存在的任务
+#         PeriodicTask.objects.filter(name='Test Task').delete()
+#
+#         task, created = PeriodicTask.objects.get_or_create(
+#             crontab=schedule,
+#             name='Test Task',
+#             task='app_test.tasks.write_to_file_task',
+#             start_time=now(),
+#         )
+#         if created or not task.enabled:
+#             task.enabled = True
+#             task.save()
+#
+#         self.stdout.write(self.style.SUCCESS('Successfully set up test periodic tasks'))

app_test/management/commands/test_celery_beat.py

@@ -0,0 +1,33 @@
+# # app_test/management/commands/test_celery_beat.py
+# from django.core.management.base import BaseCommand
+# from django_celery_beat.models import CrontabSchedule, PeriodicTask
+# from django.utils.timezone import now
+# import logging
+#
+# logger = logging.getLogger(__name__)
+#
+# class Command(BaseCommand):
+#     help = 'Test Celery Beat and Worker'
+#
+#     def handle(self, *args, **kwargs):
+#         logger.info("Running test_celery_beat command")
+#
+#         schedule, created = CrontabSchedule.objects.get_or_create(
+#             minute='*/1',  # 每分钟运行一次
+#             hour='*',
+#             day_of_week='*',
+#             day_of_month='*',
+#             month_of_year='*',
+#         )
+#
+#         task, created = PeriodicTask.objects.get_or_create(
+#             crontab=schedule,
+#             name='Test Task',
+#             task='app_test.tasks.test_task',
+#             start_time=now(),
+#         )
+#         if created or not task.enabled:
+#             task.enabled = True
+#             task.save()
+#
+#         self.stdout.write(self.style.SUCCESS('Successfully set up test periodic tasks'))

app_test/migrations/0001_initial.py

@@ -0,0 +1,23 @@
+# Generated by Django 5.0.6 on 2024-05-24 08:44
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    initial = True
+
+    dependencies = [
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='CaptchaModel',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('email', models.EmailField(max_length=254)),
+                ('captcha', models.CharField(max_length=4)),
+                ('create_time', models.DateTimeField(auto_now_add=True)),
+            ],
+        ),
+    ]

app_test/migrations/0002_alter_captchamodel_email.py

@@ -0,0 +1,18 @@
+# Generated by Django 5.0.6 on 2024-05-24 09:00
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app_test', '0001_initial'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='captchamodel',
+            name='email',
+            field=models.EmailField(max_length=254, unique=True),
+        ),
+    ]

app_test/migrations/0003_baidudata_beijingweekdata_gfdata_hxdata_jijindata_and_more.py

@@ -0,0 +1,69 @@
+# Generated by Django 5.0.6 on 2024-05-25 10:27
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app_test', '0002_alter_captchamodel_email'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='BaiduData',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('date', models.DateField()),
+                ('liugan_index', models.IntegerField()),
+            ],
+        ),
+        migrations.CreateModel(
+            name='BeijingWeekData',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('date', models.DateField()),
+                ('infection_number', models.IntegerField()),
+            ],
+        ),
+        migrations.CreateModel(
+            name='GFData',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('date', models.DateField()),
+                ('gf_data', models.FloatField()),
+            ],
+        ),
+        migrations.CreateModel(
+            name='HXData',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('date', models.DateField()),
+                ('hx_data', models.FloatField()),
+            ],
+        ),
+        migrations.CreateModel(
+            name='JijinData',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('date', models.DateField()),
+                ('jijin_data', models.FloatField()),
+            ],
+        ),
+        migrations.CreateModel(
+            name='LiuganWeekData',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('date', models.DateField()),
+                ('infection_number', models.IntegerField()),
+            ],
+        ),
+        migrations.CreateModel(
+            name='StockData',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('date', models.DateField()),
+                ('shoupan', models.FloatField()),
+            ],
+        ),
+    ]

app_test/migrations/0004_fund.py

@@ -0,0 +1,25 @@
+# Generated by Django 5.0.6 on 2024-05-25 15:58
+
+import django.db.models.deletion
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app_test', '0003_baidudata_beijingweekdata_gfdata_hxdata_jijindata_and_more'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Fund',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('fund_id', models.IntegerField()),
+                ('fund_name', models.CharField()),
+                ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)),
+            ],
+        ),
+    ]

app_test/migrations/0005_alter_fund_fund_id_alter_fund_fund_name_and_more.py

@@ -0,0 +1,31 @@
+# Generated by Django 5.0.6 on 2024-05-27 10:38
+
+import django.db.models.deletion
+from django.conf import settings
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app_test', '0004_fund'),
+        migrations.swappable_dependency(settings.AUTH_USER_MODEL),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='fund',
+            name='fund_id',
+            field=models.CharField(max_length=6),
+        ),
+        migrations.AlterField(
+            model_name='fund',
+            name='fund_name',
+            field=models.CharField(max_length=20),
+        ),
+        migrations.AlterField(
+            model_name='fund',
+            name='user',
+            field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='funds', to=settings.AUTH_USER_MODEL),
+        ),
+    ]

app_test/migrations/0006_recommendedfund.py

@@ -0,0 +1,23 @@
+# Generated by Django 5.0.6 on 2024-06-18 12:49
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('app_test', '0005_alter_fund_fund_id_alter_fund_fund_name_and_more'),
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='RecommendedFund',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('fund_code', models.CharField(max_length=6)),
+                ('fund_name', models.CharField(max_length=20)),
+                ('data_js', models.JSONField(default=None)),
+                ('date_js', models.JSONField(default=None)),
+            ],
+        ),
+    ]

app_test/models.py

@@ -0,0 +1,62 @@
+rom django.db import models
+#导入内置的model User才能使用外键连接
+from django.contrib.auth.models import User
+# 导入内置的model User才能使用外键连接
+from django.contrib.auth.models import User
+from django.db import models
+
+
+# Create your models here.
+
+class LiuganWeekData(models.Model):
+    date = models.DateField()
+    infection_number = models.IntegerField()
+    class Meta:
+        app_label = 'app_test'  # 确保这与你的应用名称匹配
+class BeijingWeekData(models.Model):
+    date = models.DateField()
+    infection_number = models.IntegerField()
+
+class HXData(models.Model):
+    date = models.DateField()
+    hx_data = models.FloatField()
+
+class GFData(models.Model):
+    date = models.DateField()
+    gf_data = models.FloatField()
+
+class JijinData(models.Model):
+    date = models.DateField()
+    jijin_data = models.FloatField()
+
+
+class BaiduData(models.Model):
+    date = models.DateField()
+    liugan_index = models.IntegerField()
+
+class StockData(models.Model):
+    date = models.DateField()
+    shoupan = models.FloatField()
+
+# 使用外键，储存用户的基金数据
+class Fund(models.Model):
+    user = models.ForeignKey(User, on_delete=models.CASCADE, related_name='funds')
+    fund_id = models.CharField(max_length=6)  # 指定 max_length
+    fund_name = models.CharField(max_length=20)  # 指定 max_length
+
+    def __str__(self):
+        return self.fund_name
+
+class CaptchaModel(models.Model):
+    email = models.EmailField(unique=True)
+    captcha = models.CharField(max_length=4)
+    create_time = models.DateTimeField(auto_now_add=True)
+    # class Meta:
+    #     app_label = 'app_test'
+
+#推荐的流感基金
+class   RecommendedFund(models.Model):
+    fund_code = models.CharField(max_length=6)
+    fund_name = models.CharField(max_length=20)
+    data_js = models.JSONField(default=None)
+    date_js = models.JSONField(default=None)

app_test/node_modules/.package-lock.json

@@ -0,0 +1,22 @@
+{
+  "name": "app_test",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "node_modules/bootstrap-icons": {
+      "version": "1.11.3",
+      "resolved": "https://registry.npmmirror.com/bootstrap-icons/-/bootstrap-icons-1.11.3.tgz",
+      "integrity": "sha512-+3lpHrCw/it2/7lBL15VR0HEumaBss0+f/Lb6ZvHISn1mlK83jjFpooTLsMWbIjJMDjDjOExMsTxnXSIT4k4ww==",
+      "funding": [
+        {
+          "type": "github",
+          "url": "https://github.com/sponsors/twbs"
+        },
+        {
+          "type": "opencollective",
+          "url": "https://opencollective.com/bootstrap"
+        }
+      ]
+    }
+  }
+}

app_test/node_modules/bootstrap-icons/LICENSE

@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2019-2024 The Bootstrap Authors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.

app_test/node_modules/bootstrap-icons/README.md

@@ -0,0 +1,100 @@
+<p align="center">
+  <a href="https://getbootstrap.com/">
+    <img src="https://getbootstrap.com/docs/5.2/assets/brand/bootstrap-logo-shadow.png" alt="Bootstrap logo" width="200" height="165">
+  </a>
+</p>
+
+<h3 align="center">Bootstrap Icons</h3>
+
+<p align="center">
+  Official open source SVG icon library for Bootstrap with over 2,000 icons.
+  <br>
+  <a href="https://icons.getbootstrap.com/"><strong>Explore Bootstrap Icons »</strong></a>
+  <br>
+  <br>
+  <a href="https://getbootstrap.com/">Bootstrap</a>
+  ·
+  <a href="https://themes.getbootstrap.com/">Themes</a>
+  ·
+  <a href="https://blog.getbootstrap.com/">Blog</a>
+  <br>
+</p>
+
+[![Bootstrap Icons preview](https://github.com/twbs/icons/blob/main/.github/preview.png)](https://icons.getbootstrap.com/)
+
+## Install
+
+Bootstrap Icons are packaged up and published to npm. We only include the processed SVGs in this package—it's up to you and your team to implement. [Read our docs](https://icons.getbootstrap.com/) for usage instructions.
+
+```shell
+npm i bootstrap-icons
+```
+
+For those [using Packagist](https://packagist.org/packages/twbs/bootstrap-icons), you can also install Bootstrap Icons via Composer:
+
+```shell
+composer require twbs/bootstrap-icons
+```
+
+[Also available in Figma](https://www.figma.com/community/file/1042482994486402696/Bootstrap-Icons).
+
+## Usage
+
+Depending on your setup, you can include Bootstrap Icons in a handful of ways.
+
+- Copy-paste SVGs as embedded HTML
+- Reference via `<img>` element
+- Use the SVG sprite
+- Include via CSS
+
+[See the docs for more information](https://icons.getbootstrap.com/#usage).
+
+## Development
+
+[![Build Status](https://img.shields.io/github/actions/workflow/status/twbs/icons/test.yml?branch=main&label=Tests&logo=github)](https://github.com/twbs/icons/actions/workflows/test.yml?query=workflow%3ATests+branch%3Amain)
+[![npm version](https://img.shields.io/npm/v/bootstrap-icons?logo=npm&logoColor=fff)](https://www.npmjs.com/package/bootstrap-icons)
+
+Clone the repo, install dependencies, and start the Hugo server locally.
+
+```shell
+git clone https://github.com/twbs/icons/
+cd icons
+npm i
+npm start
+```
+
+Then open `http://localhost:4000` in your browser.
+
+### npm scripts
+
+Here are some key scripts you'll use during development. Be sure to look to our `package.json` or `npm run` output for a complete list of scripts.
+
+| Script       | Description                                                                   |
+|--------------|-------------------------------------------------------------------------------|
+| `start`      | Alias for running `docs-serve`                                                |
+| `docs-serve` | Starts a local Hugo server                                                    |
+| `pages`      | Generates permalink pages for each icon with template Markdown                |
+| `icons`      | Processes and optimizes SVGs in `icons` directory, generates fonts and sprite |
+
+## Adding SVGs
+
+Icons are typically only added by @mdo, but exceptions can be made. New glyphs are designed in Figma first on a 16x16px grid, then exported as flattened SVGs with `fill` (no stroke). Once a new SVG icon has been added to the `icons` directory, we use an npm script to:
+
+1. Optimize our SVGs with SVGO.
+2. Modify the SVGs source code, removing all attributes before setting new attributes and values in our preferred order.
+
+Use `npm run icons` to run the script, run `npm run pages` to build permalink pages, complete those pages, and, finally, commit the results in a new branch for updating.
+
+**Warning**: Please exclude any auto-generated files, like `font/**` and `bootstrap-icons.svg` from your branch because they cause conflicts, and we generally update the dist files before a release.
+
+## Publishing
+
+Documentation is published automatically when a new Git tag is published. See our [GitHub Actions](https://github.com/twbs/icons/tree/main/.github/workflows) and [`package.json`](https://github.com/twbs/icons/blob/main/package.json) for more information.
+
+## License
+
+[MIT](LICENSE)
+
+## Author
+
+[@mdo](https://github.com/mdo)

app_test/node_modules/bootstrap-icons/icons/0-circle-fill.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-0-circle-fill" viewBox="0 0 16 16">
+  <path d="M8 4.951c-1.008 0-1.629 1.09-1.629 2.895v.31c0 1.81.627 2.895 1.629 2.895s1.623-1.09 1.623-2.895v-.31c0-1.8-.621-2.895-1.623-2.895"/>
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0m-8.012 4.158c1.858 0 2.96-1.582 2.96-3.99V7.84c0-2.426-1.079-3.996-2.936-3.996-1.864 0-2.965 1.588-2.965 3.996v.328c0 2.42 1.09 3.99 2.941 3.99"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/0-circle.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-0-circle" viewBox="0 0 16 16">
+  <path d="M7.988 12.158c-1.851 0-2.941-1.57-2.941-3.99V7.84c0-2.408 1.101-3.996 2.965-3.996 1.857 0 2.935 1.57 2.935 3.996v.328c0 2.408-1.101 3.99-2.959 3.99M8 4.951c-1.008 0-1.629 1.09-1.629 2.895v.31c0 1.81.627 2.895 1.629 2.895s1.623-1.09 1.623-2.895v-.31c0-1.8-.621-2.895-1.623-2.895"/>
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/0-square-fill.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-0-square-fill" viewBox="0 0 16 16">
+  <path d="M8 4.951c-1.008 0-1.629 1.09-1.629 2.895v.31c0 1.81.627 2.895 1.629 2.895s1.623-1.09 1.623-2.895v-.31c0-1.8-.621-2.895-1.623-2.895"/>
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm5.988 12.158c-1.851 0-2.941-1.57-2.941-3.99V7.84c0-2.408 1.101-3.996 2.965-3.996 1.857 0 2.935 1.57 2.935 3.996v.328c0 2.408-1.101 3.99-2.959 3.99"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/0-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-0-square" viewBox="0 0 16 16">
+  <path d="M7.988 12.158c-1.851 0-2.941-1.57-2.941-3.99V7.84c0-2.408 1.101-3.996 2.965-3.996 1.857 0 2.935 1.57 2.935 3.996v.328c0 2.408-1.101 3.99-2.959 3.99M8 4.951c-1.008 0-1.629 1.09-1.629 2.895v.31c0 1.81.627 2.895 1.629 2.895s1.623-1.09 1.623-2.895v-.31c0-1.8-.621-2.895-1.623-2.895"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/1-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-1-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0M9.283 4.002H7.971L6.072 5.385v1.271l1.834-1.318h.065V12h1.312z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/1-circle.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-1-circle" viewBox="0 0 16 16">
+  <path d="M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8m15 0A8 8 0 1 1 0 8a8 8 0 0 1 16 0M9.283 4.002V12H7.971V5.338h-.065L6.072 6.656V5.385l1.899-1.383z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/1-square-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-1-square-fill" viewBox="0 0 16 16">
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm7.283 4.002V12H7.971V5.338h-.065L6.072 6.656V5.385l1.899-1.383z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/1-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-1-square" viewBox="0 0 16 16">
+  <path d="M9.283 4.002V12H7.971V5.338h-.065L6.072 6.656V5.385l1.899-1.383z"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/123.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-123" viewBox="0 0 16 16">
+  <path d="M2.873 11.297V4.142H1.699L0 5.379v1.137l1.64-1.18h.06v5.961zm3.213-5.09v-.063c0-.618.44-1.169 1.196-1.169.676 0 1.174.44 1.174 1.106 0 .624-.42 1.101-.807 1.526L4.99 10.553v.744h4.78v-.99H6.643v-.069L8.41 8.252c.65-.724 1.237-1.332 1.237-2.27C9.646 4.849 8.723 4 7.308 4c-1.573 0-2.36 1.064-2.36 2.15v.057zm6.559 1.883h.786c.823 0 1.374.481 1.379 1.179.01.707-.55 1.216-1.421 1.21-.77-.005-1.326-.419-1.379-.953h-1.095c.042 1.053.938 1.918 2.464 1.918 1.478 0 2.642-.839 2.62-2.144-.02-1.143-.922-1.651-1.551-1.714v-.063c.535-.09 1.347-.66 1.326-1.678-.026-1.053-.933-1.855-2.359-1.845-1.5.005-2.317.88-2.348 1.898h1.116c.032-.498.498-.944 1.206-.944.703 0 1.206.435 1.206 1.07.005.64-.504 1.106-1.2 1.106h-.75z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/2-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-2-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0M6.646 6.24c0-.691.493-1.306 1.336-1.306.756 0 1.313.492 1.313 1.236 0 .697-.469 1.23-.902 1.705l-2.971 3.293V12h5.344v-1.107H7.268v-.077l1.974-2.22.096-.107c.688-.763 1.287-1.428 1.287-2.43 0-1.266-1.031-2.215-2.613-2.215-1.758 0-2.637 1.19-2.637 2.402v.065h1.271v-.07Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/2-circle.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-2-circle" viewBox="0 0 16 16">
+  <path d="M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8m15 0A8 8 0 1 1 0 8a8 8 0 0 1 16 0M6.646 6.24v.07H5.375v-.064c0-1.213.879-2.402 2.637-2.402 1.582 0 2.613.949 2.613 2.215 0 1.002-.6 1.667-1.287 2.43l-.096.107-1.974 2.22v.077h3.498V12H5.422v-.832l2.97-3.293c.434-.475.903-1.008.903-1.705 0-.744-.557-1.236-1.313-1.236-.843 0-1.336.615-1.336 1.306"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/2-square-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-2-square-fill" viewBox="0 0 16 16">
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm4.646 6.24v.07H5.375v-.064c0-1.213.879-2.402 2.637-2.402 1.582 0 2.613.949 2.613 2.215 0 1.002-.6 1.667-1.287 2.43l-.096.107-1.974 2.22v.077h3.498V12H5.422v-.832l2.97-3.293c.434-.475.903-1.008.903-1.705 0-.744-.557-1.236-1.313-1.236-.843 0-1.336.615-1.336 1.306"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/2-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-2-square" viewBox="0 0 16 16">
+  <path d="M6.646 6.24v.07H5.375v-.064c0-1.213.879-2.402 2.637-2.402 1.582 0 2.613.949 2.613 2.215 0 1.002-.6 1.667-1.287 2.43l-.096.107-1.974 2.22v.077h3.498V12H5.422v-.832l2.97-3.293c.434-.475.903-1.008.903-1.705 0-.744-.557-1.236-1.313-1.236-.843 0-1.336.615-1.336 1.306"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/3-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-3-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0m-8.082.414c.92 0 1.535.54 1.541 1.318.012.791-.615 1.36-1.588 1.354-.861-.006-1.482-.469-1.54-1.066H5.104c.047 1.177 1.05 2.144 2.754 2.144 1.653 0 2.954-.937 2.93-2.396-.023-1.278-1.031-1.846-1.734-1.916v-.07c.597-.1 1.505-.739 1.482-1.876-.03-1.177-1.043-2.074-2.637-2.062-1.675.006-2.59.984-2.625 2.12h1.248c.036-.556.557-1.054 1.348-1.054.785 0 1.348.486 1.348 1.195.006.715-.563 1.237-1.342 1.237h-.838v1.072h.879Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/3-circle.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-3-circle" viewBox="0 0 16 16">
+  <path d="M7.918 8.414h-.879V7.342h.838c.78 0 1.348-.522 1.342-1.237 0-.709-.563-1.195-1.348-1.195-.79 0-1.312.498-1.348 1.055H5.275c.036-1.137.95-2.115 2.625-2.121 1.594-.012 2.608.885 2.637 2.062.023 1.137-.885 1.776-1.482 1.875v.07c.703.07 1.71.64 1.734 1.917.024 1.459-1.277 2.396-2.93 2.396-1.705 0-2.707-.967-2.754-2.144H6.33c.059.597.68 1.06 1.541 1.066.973.006 1.6-.563 1.588-1.354-.006-.779-.621-1.318-1.541-1.318"/>
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/3-square-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-3-square-fill" viewBox="0 0 16 16">
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm5.918 8.414h-.879V7.342h.838c.78 0 1.348-.522 1.342-1.237 0-.709-.563-1.195-1.348-1.195-.79 0-1.312.498-1.348 1.055H5.275c.036-1.137.95-2.115 2.625-2.121 1.594-.012 2.608.885 2.637 2.062.023 1.137-.885 1.776-1.482 1.875v.07c.703.07 1.71.64 1.734 1.917.024 1.459-1.277 2.396-2.93 2.396-1.705 0-2.707-.967-2.754-2.144H6.33c.059.597.68 1.06 1.541 1.066.973.006 1.6-.563 1.588-1.354-.006-.779-.621-1.318-1.541-1.318"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/3-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-3-square" viewBox="0 0 16 16">
+  <path d="M7.918 8.414h-.879V7.342h.838c.78 0 1.348-.522 1.342-1.237 0-.709-.563-1.195-1.348-1.195-.79 0-1.312.498-1.348 1.055H5.275c.036-1.137.95-2.115 2.625-2.121 1.594-.012 2.608.885 2.637 2.062.023 1.137-.885 1.776-1.482 1.875v.07c.703.07 1.71.64 1.734 1.917.024 1.459-1.277 2.396-2.93 2.396-1.705 0-2.707-.967-2.754-2.144H6.33c.059.597.68 1.06 1.541 1.066.973.006 1.6-.563 1.588-1.354-.006-.779-.621-1.318-1.541-1.318"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/4-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-4-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0M7.519 5.057c-.886 1.418-1.772 2.838-2.542 4.265v1.12H8.85V12h1.26v-1.559h1.007V9.334H10.11V4.002H8.176zM6.225 9.281v.053H8.85V5.063h-.065c-.867 1.33-1.787 2.806-2.56 4.218"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/4-circle.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-4-circle" viewBox="0 0 16 16">
+  <path d="M7.519 5.057q.33-.527.657-1.055h1.933v5.332h1.008v1.107H10.11V12H8.85v-1.559H4.978V9.322c.77-1.427 1.656-2.847 2.542-4.265ZM6.225 9.281v.053H8.85V5.063h-.065c-.867 1.33-1.787 2.806-2.56 4.218"/>
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/4-square-fill.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-4-square-fill" viewBox="0 0 16 16">
+  <path d="M6.225 9.281v.053H8.85V5.063h-.065c-.867 1.33-1.787 2.806-2.56 4.218"/>
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm5.519 5.057q.33-.527.657-1.055h1.933v5.332h1.008v1.107H10.11V12H8.85v-1.559H4.978V9.322c.77-1.427 1.656-2.847 2.542-4.265Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/4-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-4-square" viewBox="0 0 16 16">
+  <path d="M7.519 5.057q.33-.527.657-1.055h1.933v5.332h1.008v1.107H10.11V12H8.85v-1.559H4.978V9.322c.77-1.427 1.656-2.847 2.542-4.265ZM6.225 9.281v.053H8.85V5.063h-.065c-.867 1.33-1.787 2.806-2.56 4.218"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/5-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-5-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0m-8.006 4.158c1.74 0 2.924-1.119 2.924-2.806 0-1.641-1.178-2.584-2.56-2.584-.897 0-1.442.421-1.612.68h-.064l.193-2.344h3.621V4.002H5.791L5.445 8.63h1.149c.193-.358.668-.809 1.435-.809.85 0 1.582.604 1.582 1.57 0 1.085-.779 1.682-1.57 1.682-.697 0-1.389-.31-1.53-1.031H5.276c.065 1.213 1.149 2.115 2.72 2.115Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/5-circle.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-5-circle" viewBox="0 0 16 16">
+  <path d="M1 8a7 7 0 1 1 14 0A7 7 0 0 1 1 8m15 0A8 8 0 1 0 0 8a8 8 0 0 0 16 0m-8.006 4.158c-1.57 0-2.654-.902-2.719-2.115h1.237c.14.72.832 1.031 1.529 1.031.791 0 1.57-.597 1.57-1.681 0-.967-.732-1.57-1.582-1.57-.767 0-1.242.45-1.435.808H5.445L5.791 4h4.705v1.103H6.875l-.193 2.343h.064c.17-.258.715-.68 1.611-.68 1.383 0 2.561.944 2.561 2.585 0 1.687-1.184 2.806-2.924 2.806Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/5-square-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-5-square-fill" viewBox="0 0 16 16">
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm5.994 12.158c-1.57 0-2.654-.902-2.719-2.115h1.237c.14.72.832 1.031 1.529 1.031.791 0 1.57-.597 1.57-1.681 0-.967-.732-1.57-1.582-1.57-.767 0-1.242.45-1.435.808H5.445L5.791 4h4.705v1.103H6.875l-.193 2.343h.064c.17-.258.715-.68 1.611-.68 1.383 0 2.561.944 2.561 2.585 0 1.687-1.184 2.806-2.924 2.806Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/5-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-5-square" viewBox="0 0 16 16">
+  <path d="M7.994 12.158c-1.57 0-2.654-.902-2.719-2.115h1.237c.14.72.832 1.031 1.529 1.031.791 0 1.57-.597 1.57-1.681 0-.967-.732-1.57-1.582-1.57-.767 0-1.242.45-1.435.808H5.445L5.791 4h4.705v1.103H6.875l-.193 2.343h.064c.17-.258.715-.68 1.611-.68 1.383 0 2.561.944 2.561 2.585 0 1.687-1.184 2.806-2.924 2.806Z"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/6-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-6-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0M8.21 3.855c-1.868 0-3.116 1.395-3.116 4.407 0 1.183.228 2.039.597 2.642.569.926 1.477 1.254 2.409 1.254 1.629 0 2.847-1.013 2.847-2.783 0-1.676-1.254-2.555-2.508-2.555-1.125 0-1.752.61-1.98 1.155h-.082c-.012-1.946.727-3.036 1.805-3.036.802 0 1.213.457 1.312.815h1.29c-.06-.908-.962-1.899-2.573-1.899Zm-.099 4.008c-.92 0-1.564.65-1.564 1.576 0 1.032.703 1.635 1.558 1.635.868 0 1.553-.533 1.553-1.629 0-1.06-.744-1.582-1.547-1.582"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/6-circle.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-6-circle" viewBox="0 0 16 16">
+  <path d="M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8m15 0A8 8 0 1 1 0 8a8 8 0 0 1 16 0M8.21 3.855c1.612 0 2.515.99 2.573 1.899H9.494c-.1-.358-.51-.815-1.312-.815-1.078 0-1.817 1.09-1.805 3.036h.082c.229-.545.855-1.155 1.98-1.155 1.254 0 2.508.88 2.508 2.555 0 1.77-1.218 2.783-2.847 2.783-.932 0-1.84-.328-2.409-1.254-.369-.603-.597-1.459-.597-2.642 0-3.012 1.248-4.407 3.117-4.407Zm-.099 4.008c-.92 0-1.564.65-1.564 1.576 0 1.032.703 1.635 1.558 1.635.868 0 1.553-.533 1.553-1.629 0-1.06-.744-1.582-1.547-1.582"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/6-square-fill.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-6-square-fill" viewBox="0 0 16 16">
+  <path d="M8.111 7.863c-.92 0-1.564.65-1.564 1.576 0 1.032.703 1.635 1.558 1.635.868 0 1.553-.533 1.553-1.629 0-1.06-.744-1.582-1.547-1.582"/>
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm6.21 3.855c1.612 0 2.515.99 2.573 1.899H9.494c-.1-.358-.51-.815-1.312-.815-1.078 0-1.817 1.09-1.805 3.036h.082c.229-.545.855-1.155 1.98-1.155 1.254 0 2.508.88 2.508 2.555 0 1.77-1.218 2.783-2.847 2.783-.932 0-1.84-.328-2.409-1.254-.369-.603-.597-1.459-.597-2.642 0-3.012 1.248-4.407 3.117-4.407Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/6-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-6-square" viewBox="0 0 16 16">
+  <path d="M8.21 3.855c1.612 0 2.515.99 2.573 1.899H9.494c-.1-.358-.51-.815-1.312-.815-1.078 0-1.817 1.09-1.805 3.036h.082c.229-.545.855-1.155 1.98-1.155 1.254 0 2.508.88 2.508 2.555 0 1.77-1.218 2.783-2.847 2.783-.932 0-1.84-.328-2.409-1.254-.369-.603-.597-1.459-.597-2.642 0-3.012 1.248-4.407 3.117-4.407Zm-.099 4.008c-.92 0-1.564.65-1.564 1.576 0 1.032.703 1.635 1.558 1.635.868 0 1.553-.533 1.553-1.629 0-1.06-.744-1.582-1.547-1.582"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/7-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-7-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0M5.37 5.11h3.972v.07L6.025 12H7.42l3.258-6.85V4.002H5.369v1.107Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/7-circle.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-7-circle" viewBox="0 0 16 16">
+  <path d="M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8m15 0A8 8 0 1 1 0 8a8 8 0 0 1 16 0M5.37 5.11V4.001h5.308V5.15L7.42 12H6.025l3.317-6.82v-.07H5.369Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/7-square-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-7-square-fill" viewBox="0 0 16 16">
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm3.37 5.11V4.001h5.308V5.15L7.42 12H6.025l3.317-6.82v-.07H5.369Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/7-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-7-square" viewBox="0 0 16 16">
+  <path d="M5.37 5.11V4.001h5.308V5.15L7.42 12H6.025l3.317-6.82v-.07H5.369Z"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/8-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-8-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0m-5.03 1.803c0-1.248-.943-1.84-1.646-1.992v-.065c.598-.187 1.336-.72 1.336-1.781 0-1.225-1.084-2.121-2.654-2.121s-2.66.896-2.66 2.12c0 1.044.709 1.589 1.33 1.782v.065c-.697.152-1.647.732-1.647 2.003 0 1.39 1.19 2.344 2.953 2.344 1.77 0 2.989-.96 2.989-2.355Zm-4.347-3.71c0 .739.586 1.255 1.383 1.255s1.377-.516 1.377-1.254c0-.733-.58-1.23-1.377-1.23s-1.383.497-1.383 1.23Zm-.281 3.645c0 .838.72 1.412 1.664 1.412.943 0 1.658-.574 1.658-1.412 0-.843-.715-1.424-1.658-1.424-.944 0-1.664.58-1.664 1.424"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/8-circle.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-8-circle" viewBox="0 0 16 16">
+  <path d="M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8m15 0A8 8 0 1 1 0 8a8 8 0 0 1 16 0m-5.03 1.803c0 1.394-1.218 2.355-2.988 2.355-1.763 0-2.953-.955-2.953-2.344 0-1.271.95-1.851 1.647-2.003v-.065c-.621-.193-1.33-.738-1.33-1.781 0-1.225 1.09-2.121 2.66-2.121s2.654.896 2.654 2.12c0 1.061-.738 1.595-1.336 1.782v.065c.703.152 1.647.744 1.647 1.992Zm-4.347-3.71c0 .739.586 1.255 1.383 1.255s1.377-.516 1.377-1.254c0-.733-.58-1.23-1.377-1.23s-1.383.497-1.383 1.23Zm-.281 3.645c0 .838.72 1.412 1.664 1.412.943 0 1.658-.574 1.658-1.412 0-.843-.715-1.424-1.658-1.424-.944 0-1.664.58-1.664 1.424"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/8-square-fill.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-8-square-fill" viewBox="0 0 16 16">
+  <path d="M6.623 6.094c0 .738.586 1.254 1.383 1.254s1.377-.516 1.377-1.254c0-.733-.58-1.23-1.377-1.23s-1.383.497-1.383 1.23m-.281 3.644c0 .838.72 1.412 1.664 1.412.943 0 1.658-.574 1.658-1.412 0-.843-.715-1.424-1.658-1.424-.944 0-1.664.58-1.664 1.424"/>
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm8.97 9.803c0 1.394-1.218 2.355-2.988 2.355-1.763 0-2.953-.955-2.953-2.344 0-1.271.95-1.851 1.647-2.003v-.065c-.621-.193-1.33-.738-1.33-1.781 0-1.225 1.09-2.121 2.66-2.121s2.654.896 2.654 2.12c0 1.061-.738 1.595-1.336 1.782v.065c.703.152 1.647.744 1.647 1.992Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/8-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-8-square" viewBox="0 0 16 16">
+  <path d="M10.97 9.803c0 1.394-1.218 2.355-2.988 2.355-1.763 0-2.953-.955-2.953-2.344 0-1.271.95-1.851 1.647-2.003v-.065c-.621-.193-1.33-.738-1.33-1.781 0-1.225 1.09-2.121 2.66-2.121s2.654.896 2.654 2.12c0 1.061-.738 1.595-1.336 1.782v.065c.703.152 1.647.744 1.647 1.992Zm-4.347-3.71c0 .739.586 1.255 1.383 1.255s1.377-.516 1.377-1.254c0-.733-.58-1.23-1.377-1.23s-1.383.497-1.383 1.23Zm-.281 3.645c0 .838.72 1.412 1.664 1.412.943 0 1.658-.574 1.658-1.412 0-.843-.715-1.424-1.658-1.424-.944 0-1.664.58-1.664 1.424"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/9-circle-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-9-circle-fill" viewBox="0 0 16 16">
+  <path d="M16 8A8 8 0 1 1 0 8a8 8 0 0 1 16 0m-8.223 4.146c2.104 0 3.123-1.464 3.123-4.3 0-3.147-1.459-4.014-2.97-4.014-1.63 0-2.871 1.02-2.871 2.73 0 1.706 1.171 2.667 2.566 2.667 1.06 0 1.7-.557 1.934-1.184h.076c.047 1.67-.475 3.023-1.834 3.023-.71 0-1.149-.363-1.248-.72H5.258c.094.908.926 1.798 2.52 1.798Zm.118-3.972c.808 0 1.535-.528 1.535-1.594s-.668-1.676-1.56-1.676c-.838 0-1.517.616-1.517 1.659 0 1.072.708 1.61 1.54 1.61Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/9-circle.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-9-circle" viewBox="0 0 16 16">
+  <path d="M1 8a7 7 0 1 0 14 0A7 7 0 0 0 1 8m15 0A8 8 0 1 1 0 8a8 8 0 0 1 16 0m-8.223 4.146c-1.593 0-2.425-.89-2.52-1.798h1.296c.1.357.539.72 1.248.72 1.36 0 1.88-1.353 1.834-3.023h-.076c-.235.627-.873 1.184-1.934 1.184-1.395 0-2.566-.961-2.566-2.666 0-1.711 1.242-2.731 2.87-2.731 1.512 0 2.971.867 2.971 4.014 0 2.836-1.02 4.3-3.123 4.3m.118-3.972c.808 0 1.535-.528 1.535-1.594s-.668-1.676-1.56-1.676c-.838 0-1.517.616-1.517 1.659 0 1.072.708 1.61 1.54 1.61Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/9-square-fill.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-9-square-fill" viewBox="0 0 16 16">
+  <path d="M7.895 8.174c.808 0 1.535-.528 1.535-1.594s-.668-1.676-1.56-1.676c-.838 0-1.517.616-1.517 1.659 0 1.072.708 1.61 1.54 1.61Z"/>
+  <path d="M2 0a2 2 0 0 0-2 2v12a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V2a2 2 0 0 0-2-2zm5.777 12.146c-1.593 0-2.425-.89-2.52-1.798h1.296c.1.357.539.72 1.248.72 1.36 0 1.88-1.353 1.834-3.023h-.076c-.235.627-.873 1.184-1.934 1.184-1.395 0-2.566-.961-2.566-2.666 0-1.711 1.242-2.731 2.87-2.731 1.512 0 2.971.867 2.971 4.014 0 2.836-1.02 4.3-3.123 4.3"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/9-square.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-9-square" viewBox="0 0 16 16">
+  <path d="M7.777 12.146c-1.593 0-2.425-.89-2.52-1.798h1.296c.1.357.539.72 1.248.72 1.36 0 1.88-1.353 1.834-3.023h-.076c-.235.627-.873 1.184-1.934 1.184-1.395 0-2.566-.961-2.566-2.666 0-1.711 1.242-2.731 2.87-2.731 1.512 0 2.971.867 2.971 4.014 0 2.836-1.02 4.3-3.123 4.3m.118-3.972c.808 0 1.535-.528 1.535-1.594s-.668-1.676-1.56-1.676c-.838 0-1.517.616-1.517 1.659 0 1.072.708 1.61 1.54 1.61Z"/>
+  <path d="M0 2a2 2 0 0 1 2-2h12a2 2 0 0 1 2 2v12a2 2 0 0 1-2 2H2a2 2 0 0 1-2-2zm15 0a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v12a1 1 0 0 0 1 1h12a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/activity.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-activity" viewBox="0 0 16 16">
+  <path fill-rule="evenodd" d="M6 2a.5.5 0 0 1 .47.33L10 12.036l1.53-4.208A.5.5 0 0 1 12 7.5h3.5a.5.5 0 0 1 0 1h-3.15l-1.88 5.17a.5.5 0 0 1-.94 0L6 3.964 4.47 8.171A.5.5 0 0 1 4 8.5H.5a.5.5 0 0 1 0-1h3.15l1.88-5.17A.5.5 0 0 1 6 2"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/airplane-engines-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-airplane-engines-fill" viewBox="0 0 16 16">
+  <path d="M8 0c-.787 0-1.292.592-1.572 1.151A4.35 4.35 0 0 0 6 3v3.691l-2 1V7.5a.5.5 0 0 0-.5-.5h-1a.5.5 0 0 0-.5.5v1.191l-1.17.585A1.5 1.5 0 0 0 0 10.618V12a.5.5 0 0 0 .582.493l1.631-.272.313.937a.5.5 0 0 0 .948 0l.405-1.214 2.21-.369.375 2.253-1.318 1.318A.5.5 0 0 0 5.5 16h5a.5.5 0 0 0 .354-.854l-1.318-1.318.375-2.253 2.21.369.405 1.214a.5.5 0 0 0 .948 0l.313-.937 1.63.272A.5.5 0 0 0 16 12v-1.382a1.5 1.5 0 0 0-.83-1.342L14 8.691V7.5a.5.5 0 0 0-.5-.5h-1a.5.5 0 0 0-.5.5v.191l-2-1V3c0-.568-.14-1.271-.428-1.849C9.292.591 8.787 0 8 0"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/airplane-engines.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-airplane-engines" viewBox="0 0 16 16">
+  <path d="M8 0c-.787 0-1.292.592-1.572 1.151A4.35 4.35 0 0 0 6 3v3.691l-2 1V7.5a.5.5 0 0 0-.5-.5h-1a.5.5 0 0 0-.5.5v1.191l-1.17.585A1.5 1.5 0 0 0 0 10.618V12a.5.5 0 0 0 .582.493l1.631-.272.313.937a.5.5 0 0 0 .948 0l.405-1.214 2.21-.369.375 2.253-1.318 1.318A.5.5 0 0 0 5.5 16h5a.5.5 0 0 0 .354-.854l-1.318-1.318.375-2.253 2.21.369.405 1.214a.5.5 0 0 0 .948 0l.313-.937 1.63.272A.5.5 0 0 0 16 12v-1.382a1.5 1.5 0 0 0-.83-1.342L14 8.691V7.5a.5.5 0 0 0-.5-.5h-1a.5.5 0 0 0-.5.5v.191l-2-1V3c0-.568-.14-1.271-.428-1.849C9.292.591 8.787 0 8 0M7 3c0-.432.11-.979.322-1.401C7.542 1.159 7.787 1 8 1s.458.158.678.599C8.889 2.02 9 2.569 9 3v4a.5.5 0 0 0 .276.447l5.448 2.724a.5.5 0 0 1 .276.447v.792l-5.418-.903a.5.5 0 0 0-.575.41l-.5 3a.5.5 0 0 0 .14.437l.646.646H6.707l.647-.646a.5.5 0 0 0 .14-.436l-.5-3a.5.5 0 0 0-.576-.411L1 11.41v-.792a.5.5 0 0 1 .276-.447l5.448-2.724A.5.5 0 0 0 7 7z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/airplane-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-airplane-fill" viewBox="0 0 16 16">
+  <path d="M6.428 1.151C6.708.591 7.213 0 8 0s1.292.592 1.572 1.151C9.861 1.73 10 2.431 10 3v3.691l5.17 2.585a1.5 1.5 0 0 1 .83 1.342V12a.5.5 0 0 1-.582.493l-5.507-.918-.375 2.253 1.318 1.318A.5.5 0 0 1 10.5 16h-5a.5.5 0 0 1-.354-.854l1.319-1.318-.376-2.253-5.507.918A.5.5 0 0 1 0 12v-1.382a1.5 1.5 0 0 1 .83-1.342L6 6.691V3c0-.568.14-1.271.428-1.849"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/airplane.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-airplane" viewBox="0 0 16 16">
+  <path d="M6.428 1.151C6.708.591 7.213 0 8 0s1.292.592 1.572 1.151C9.861 1.73 10 2.431 10 3v3.691l5.17 2.585a1.5 1.5 0 0 1 .83 1.342V12a.5.5 0 0 1-.582.493l-5.507-.918-.375 2.253 1.318 1.318A.5.5 0 0 1 10.5 16h-5a.5.5 0 0 1-.354-.854l1.319-1.318-.376-2.253-5.507.918A.5.5 0 0 1 0 12v-1.382a1.5 1.5 0 0 1 .83-1.342L6 6.691V3c0-.568.14-1.271.428-1.849m.894.448C7.111 2.02 7 2.569 7 3v4a.5.5 0 0 1-.276.447l-5.448 2.724a.5.5 0 0 0-.276.447v.792l5.418-.903a.5.5 0 0 1 .575.41l.5 3a.5.5 0 0 1-.14.437L6.708 15h2.586l-.647-.646a.5.5 0 0 1-.14-.436l.5-3a.5.5 0 0 1 .576-.411L15 11.41v-.792a.5.5 0 0 0-.276-.447L9.276 7.447A.5.5 0 0 1 9 7V3c0-.432-.11-.979-.322-1.401C8.458 1.159 8.213 1 8 1s-.458.158-.678.599"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/alarm-fill.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-alarm-fill" viewBox="0 0 16 16">
+  <path d="M6 .5a.5.5 0 0 1 .5-.5h3a.5.5 0 0 1 0 1H9v1.07a7.001 7.001 0 0 1 3.274 12.474l.601.602a.5.5 0 0 1-.707.708l-.746-.746A6.97 6.97 0 0 1 8 16a6.97 6.97 0 0 1-3.422-.892l-.746.746a.5.5 0 0 1-.707-.708l.602-.602A7.001 7.001 0 0 1 7 2.07V1h-.5A.5.5 0 0 1 6 .5m2.5 5a.5.5 0 0 0-1 0v3.362l-1.429 2.38a.5.5 0 1 0 .858.515l1.5-2.5A.5.5 0 0 0 8.5 9zM.86 5.387A2.5 2.5 0 1 1 4.387 1.86 8.04 8.04 0 0 0 .86 5.387M11.613 1.86a2.5 2.5 0 1 1 3.527 3.527 8.04 8.04 0 0 0-3.527-3.527"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/alarm.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-alarm" viewBox="0 0 16 16">
+  <path d="M8.5 5.5a.5.5 0 0 0-1 0v3.362l-1.429 2.38a.5.5 0 1 0 .858.515l1.5-2.5A.5.5 0 0 0 8.5 9z"/>
+  <path d="M6.5 0a.5.5 0 0 0 0 1H7v1.07a7.001 7.001 0 0 0-3.273 12.474l-.602.602a.5.5 0 0 0 .707.708l.746-.746A6.97 6.97 0 0 0 8 16a6.97 6.97 0 0 0 3.422-.892l.746.746a.5.5 0 0 0 .707-.708l-.601-.602A7.001 7.001 0 0 0 9 2.07V1h.5a.5.5 0 0 0 0-1zm1.038 3.018a6 6 0 0 1 .924 0 6 6 0 1 1-.924 0M0 3.5c0 .753.333 1.429.86 1.887A8.04 8.04 0 0 1 4.387 1.86 2.5 2.5 0 0 0 0 3.5M13.5 1c-.753 0-1.429.333-1.887.86a8.04 8.04 0 0 1 3.527 3.527A2.5 2.5 0 0 0 13.5 1"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/alexa.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-alexa" viewBox="0 0 16 16">
+  <path d="M7.996 0A8 8 0 0 0 0 8a8 8 0 0 0 6.93 7.93v-1.613a1.06 1.06 0 0 0-.717-1.008A5.6 5.6 0 0 1 2.4 7.865 5.58 5.58 0 0 1 8.054 2.4a5.6 5.6 0 0 1 5.535 5.81l-.002.046-.012.192-.005.061a5 5 0 0 1-.033.284l-.01.068c-.685 4.516-6.564 7.054-6.596 7.068A7.998 7.998 0 0 0 15.992 8 8 8 0 0 0 7.996.001Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/align-bottom.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-align-bottom" viewBox="0 0 16 16">
+  <rect width="4" height="12" x="6" y="1" rx="1"/>
+  <path d="M1.5 14a.5.5 0 0 0 0 1zm13 1a.5.5 0 0 0 0-1zm-13 0h13v-1h-13z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/align-center.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-align-center" viewBox="0 0 16 16">
+  <path d="M8 1a.5.5 0 0 1 .5.5V6h-1V1.5A.5.5 0 0 1 8 1m0 14a.5.5 0 0 1-.5-.5V10h1v4.5a.5.5 0 0 1-.5.5M2 7a1 1 0 0 1 1-1h10a1 1 0 0 1 1 1v2a1 1 0 0 1-1 1H3a1 1 0 0 1-1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/align-end.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-align-end" viewBox="0 0 16 16">
+  <path fill-rule="evenodd" d="M14.5 1a.5.5 0 0 0-.5.5v13a.5.5 0 0 0 1 0v-13a.5.5 0 0 0-.5-.5"/>
+  <path d="M13 7a1 1 0 0 0-1-1H2a1 1 0 0 0-1 1v2a1 1 0 0 0 1 1h10a1 1 0 0 0 1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/align-middle.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-align-middle" viewBox="0 0 16 16">
+  <path d="M6 13a1 1 0 0 0 1 1h2a1 1 0 0 0 1-1V3a1 1 0 0 0-1-1H7a1 1 0 0 0-1 1zM1 8a.5.5 0 0 0 .5.5H6v-1H1.5A.5.5 0 0 0 1 8m14 0a.5.5 0 0 1-.5.5H10v-1h4.5a.5.5 0 0 1 .5.5"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/align-start.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-align-start" viewBox="0 0 16 16">
+  <path fill-rule="evenodd" d="M1.5 1a.5.5 0 0 1 .5.5v13a.5.5 0 0 1-1 0v-13a.5.5 0 0 1 .5-.5"/>
+  <path d="M3 7a1 1 0 0 1 1-1h10a1 1 0 0 1 1 1v2a1 1 0 0 1-1 1H4a1 1 0 0 1-1-1z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/align-top.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-align-top" viewBox="0 0 16 16">
+  <rect width="4" height="12" rx="1" transform="matrix(1 0 0 -1 6 15)"/>
+  <path d="M1.5 2a.5.5 0 0 1 0-1zm13-1a.5.5 0 0 1 0 1zm-13 0h13v1h-13z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/alipay.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-alipay" viewBox="0 0 16 16">
+  <path d="M2.541 0H13.5a2.55 2.55 0 0 1 2.54 2.563v8.297c-.006 0-.531-.046-2.978-.813-.412-.14-.916-.327-1.479-.536q-.456-.17-.957-.353a13 13 0 0 0 1.325-3.373H8.822V4.649h3.831v-.634h-3.83V2.121H7.26c-.274 0-.274.273-.274.273v1.621H3.11v.634h3.875v1.136h-3.2v.634H9.99c-.227.789-.532 1.53-.894 2.202-2.013-.67-4.161-1.212-5.51-.878-.864.214-1.42.597-1.746.998-1.499 1.84-.424 4.633 2.741 4.633 1.872 0 3.675-1.053 5.072-2.787 2.08 1.008 6.37 2.738 6.387 2.745v.105A2.55 2.55 0 0 1 13.5 16H2.541A2.55 2.55 0 0 1 0 13.437V2.563A2.55 2.55 0 0 1 2.541 0"/>
+  <path d="M2.309 9.27c-1.22 1.073-.49 3.034 1.978 3.034 1.434 0 2.868-.925 3.994-2.406-1.602-.789-2.959-1.353-4.425-1.207-.397.04-1.14.217-1.547.58Z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/alphabet-uppercase.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-alphabet-uppercase" viewBox="0 0 16 16">
+  <path d="M1.226 10.88H0l2.056-6.26h1.42l2.047 6.26h-1.29l-.48-1.61H1.707l-.48 1.61ZM2.76 5.818h-.054l-.75 2.532H3.51zm3.217 5.062V4.62h2.56c1.09 0 1.808.582 1.808 1.54 0 .762-.444 1.22-1.05 1.372v.055c.736.074 1.365.587 1.365 1.528 0 1.119-.89 1.766-2.133 1.766zM7.18 5.55v1.675h.8c.812 0 1.171-.308 1.171-.853 0-.51-.328-.822-.898-.822zm0 2.537V9.95h.903c.951 0 1.342-.312 1.342-.909 0-.591-.382-.954-1.095-.954zm5.089-.711v.775c0 1.156.49 1.803 1.347 1.803.705 0 1.163-.454 1.212-1.096H16v.12C15.942 10.173 14.95 11 13.607 11c-1.648 0-2.573-1.073-2.573-2.849v-.78c0-1.775.934-2.871 2.573-2.871 1.347 0 2.34.849 2.393 2.087v.115h-1.172c-.05-.665-.516-1.156-1.212-1.156-.849 0-1.347.67-1.347 1.83"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/alphabet.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-alphabet" viewBox="0 0 16 16">
+  <path d="M2.204 11.078c.767 0 1.201-.356 1.406-.737h.059V11h1.216V7.519c0-1.314-.947-1.783-2.11-1.783C1.355 5.736.75 6.42.69 7.27h1.216c.064-.323.313-.552.84-.552s.864.249.864.771v.464H2.346C1.145 7.953.5 8.568.5 9.496c0 .977.693 1.582 1.704 1.582m.42-.947c-.44 0-.845-.235-.845-.718 0-.395.269-.684.84-.684h.991v.538c0 .503-.444.864-.986.864m5.593.937c1.216 0 1.948-.869 1.948-2.31v-.702c0-1.44-.727-2.305-1.929-2.305-.742 0-1.328.347-1.499.889h-.063V3.983h-1.29V11h1.27v-.791h.064c.21.532.776.86 1.499.86Zm-.43-1.025c-.66 0-1.113-.518-1.113-1.28V8.12c0-.825.42-1.343 1.098-1.343.684 0 1.075.518 1.075 1.416v.45c0 .888-.386 1.401-1.06 1.401Zm2.834-1.328c0 1.47.87 2.378 2.305 2.378 1.416 0 2.139-.777 2.158-1.763h-1.186c-.06.425-.313.732-.933.732-.66 0-1.05-.512-1.05-1.352v-.625c0-.81.371-1.328 1.045-1.328.635 0 .879.425.918.776h1.187c-.02-.986-.787-1.806-2.14-1.806-1.41 0-2.304.918-2.304 2.338z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/alt.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-alt" viewBox="0 0 16 16">
+  <path d="M1 13.5a.5.5 0 0 0 .5.5h3.797a.5.5 0 0 0 .439-.26L11 3h3.5a.5.5 0 0 0 0-1h-3.797a.5.5 0 0 0-.439.26L5 13H1.5a.5.5 0 0 0-.5.5m10 0a.5.5 0 0 0 .5.5h3a.5.5 0 0 0 0-1h-3a.5.5 0 0 0-.5.5"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/amazon.svg

@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-amazon" viewBox="0 0 16 16">
+  <path d="M10.813 11.968c.157.083.36.074.5-.05l.005.005a90 90 0 0 1 1.623-1.405c.173-.143.143-.372.006-.563l-.125-.17c-.345-.465-.673-.906-.673-1.791v-3.3l.001-.335c.008-1.265.014-2.421-.933-3.305C10.404.274 9.06 0 8.03 0 6.017 0 3.77.75 3.296 3.24c-.047.264.143.404.316.443l2.054.22c.19-.009.33-.196.366-.387.176-.857.896-1.271 1.703-1.271.435 0 .929.16 1.188.55.264.39.26.91.257 1.376v.432q-.3.033-.621.065c-1.113.114-2.397.246-3.36.67C3.873 5.91 2.94 7.08 2.94 8.798c0 2.2 1.387 3.298 3.168 3.298 1.506 0 2.328-.354 3.489-1.54l.167.246c.274.405.456.675 1.047 1.166ZM6.03 8.431C6.03 6.627 7.647 6.3 9.177 6.3v.57c.001.776.002 1.434-.396 2.133-.336.595-.87.961-1.465.961-.812 0-1.286-.619-1.286-1.533M.435 12.174c2.629 1.603 6.698 4.084 13.183.997.28-.116.475.078.199.431C13.538 13.96 11.312 16 7.57 16 3.832 16 .968 13.446.094 12.386c-.24-.275.036-.4.199-.299z"/>
+  <path d="M13.828 11.943c.567-.07 1.468-.027 1.645.204.135.176-.004.966-.233 1.533-.23.563-.572.961-.762 1.115s-.333.094-.23-.137c.105-.23.684-1.663.455-1.963-.213-.278-1.177-.177-1.625-.13l-.09.009q-.142.013-.233.024c-.193.021-.245.027-.274-.032-.074-.209.779-.556 1.347-.623"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/amd.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-amd" viewBox="0 0 16 16">
+  <path d="m.334 0 4.358 4.359h7.15v7.15l4.358 4.358V0zM.2 9.72l4.487-4.488v6.281h6.28L6.48 16H.2z"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/android.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-android" viewBox="0 0 16 16">
+  <path d="M2.76 3.061a.5.5 0 0 1 .679.2l1.283 2.352A8.9 8.9 0 0 1 8 5a8.9 8.9 0 0 1 3.278.613l1.283-2.352a.5.5 0 1 1 .878.478l-1.252 2.295C14.475 7.266 16 9.477 16 12H0c0-2.523 1.525-4.734 3.813-5.966L2.56 3.74a.5.5 0 0 1 .2-.678ZM5 10a1 1 0 1 0 0-2 1 1 0 0 0 0 2m6 0a1 1 0 1 0 0-2 1 1 0 0 0 0 2"/>
+</svg>

app_test/node_modules/bootstrap-icons/icons/android2.svg

@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" fill="currentColor" class="bi bi-android2" viewBox="0 0 16 16">
+  <path d="m10.213 1.471.691-1.26q.069-.124-.048-.192-.128-.057-.195.058l-.7 1.27A4.8 4.8 0 0 0 8.005.941q-1.032 0-1.956.404l-.7-1.27Q5.281-.037 5.154.02q-.117.069-.049.193l.691 1.259a4.25 4.25 0 0 0-1.673 1.476A3.7 3.7 0 0 0 3.5 5.02h9q0-1.125-.623-2.072a4.27 4.27 0 0 0-1.664-1.476ZM6.22 3.303a.37.37 0 0 1-.267.11.35.35 0 0 1-.263-.11.37.37 0 0 1-.107-.264.37.37 0 0 1 .107-.265.35.35 0 0 1 .263-.11q.155 0 .267.11a.36.36 0 0 1 .112.265.36.36 0 0 1-.112.264m4.101 0a.35.35 0 0 1-.262.11.37.37 0 0 1-.268-.11.36.36 0 0 1-.112-.264q0-.154.112-.265a.37.37 0 0 1 .268-.11q.155 0 .262.11a.37.37 0 0 1 .107.265q0 .153-.107.264M3.5 11.77q0 .441.311.75.311.306.76.307h.758l.01 2.182q0 .414.292.703a.96.96 0 0 0 .7.288.97.97 0 0 0 .71-.288.95.95 0 0 0 .292-.703v-2.182h1.343v2.182q0 .414.292.703a.97.97 0 0 0 .71.288.97.97 0 0 0 .71-.288.95.95 0 0 0 .292-.703v-2.182h.76q.436 0 .749-.308.31-.307.311-.75V5.365h-9zm10.495-6.587a.98.98 0 0 0-.702.278.9.9 0 0 0-.293.685v4.063q0 .406.293.69a.97.97 0 0 0 .702.284q.42 0 .712-.284a.92.92 0 0 0 .293-.69V6.146a.9.9 0 0 0-.293-.685 1 1 0 0 0-.712-.278m-12.702.283a1 1 0 0 1 .712-.283q.41 0 .702.283a.9.9 0 0 1 .293.68v4.063a.93.93 0 0 1-.288.69.97.97 0 0 1-.707.284 1 1 0 0 1-.712-.284.92.92 0 0 1-.293-.69V6.146q0-.396.293-.68"/>
+</svg>