记录一次flask+plotly 如何刷新网页进行画图

项目简介：运行Dollarbar

首先按照100万美金ETH 现货进行Kline合成，然后进行画图。当然要先拿到binance的 eth spot 1s数据，然后进行Kline合成！

class DollarBar:
    def __init__(self, mongo_url, database_name, collection_name):
        self.client = MongoClient(mongo_url)
        self.db = self.client[database_name]
        self.collection = self.db[collection_name]
        self.dollar_bars = pd.DataFrame()
        self.tail_bar = pd.DataFrame()
        self.last_processed_time = None
        self.remain_data = pd.DataFrame()
        self.finanl_bars = pd.DataFrame()
        self.threshold = 1000000  # 1 million

    def initialize_data(self):
        recent_documents = self.collection.find().sort('end_time', -1).limit(5000)
        self.init_df = pd.DataFrame(list(recent_documents)).sort_values(by='end_time')
        self.init_df['sell_amount'] = self.init_df['amount'] - self.init_df['buy_amount']
        self.init_df = self.init_df.set_index('datetime')
        self.last_processed_time = self.init_df['end_time'].iloc[-1]  #整个tick 最后一个值


    def process_data(self, data):
        aggregated_data = []
        start_index = 0
        current_amount = 0

        for i in range(len(data)):
            current_amount += data.iloc[i]['amount']
            if current_amount >= self.threshold:
                bar_data = self.create_bar(data, start_index, i, current_amount)
                aggregated_data.append(bar_data)
                start_index = i + 1
                current_amount = 0

        # Check if there's any remaining data
        remaining_data = data.iloc[start_index:] if start_index < len(data) else pd.DataFrame()
     

        return  pd.DataFrame(aggregated_data), remaining_data

    def create_bar(self, data, start_index, end_index, amount):
        return {
            'datetime': data.index[start_index],
            'open': data.iloc[start_index]['open'],
            'close': data.iloc[end_index]['close'],
            'high': data.iloc[start_index:end_index+1]['high'].max(),
            'low'