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Streamz with websocket not steaming any data

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评估

难度
3/5
预计耗时
1-2 天
新手友好度
25/100
Issue 类型
缺陷
描述清晰度
需要澄清
活跃度
停滞
技术栈
pandas, python
领域
stream-processing

调研方向

Start at the WebSocket callbacks, update_dataframe, source.emit, and source.map(print_result) shown in the issue. Trace whether messages reach source.emit and whether the mapped consumer runs; done means identifying the missing connection or usage detail that prevents received data from being printed.

由索引模型根据 Issue 内容生成。

描述

I am trying to figure out a right way of streaming data using streamz with websocket. My streaming data is loaded using websocket but not streaming anything.

import config
import websocket, json
import pandas as pd
from streamz.dataframe import DataFrame
from streamz import Stream
import time

ticker_list = ["SCHG"]

# Create DataFrame with specified columns and ticker_list as index
df = pd.DataFrame(columns=['Bid', 'Ask', 'Time'], index=ticker_list)

source = Stream()

def update_dataframe(json_message, df):
    ticker_data = json_message[0]
    ticker_symbol = ticker_data['S']
    df.loc[ticker_symbol, 'Bid'] = ticker_data['bp']
    df.loc[ticker_symbol, 'Ask'] = ticker_data['ap']
    df.loc[ticker_symbol, 'Time'] = pd.to_datetime(ticker_data['t'], unit='s').tz_localize('UTC').tz_convert('America/New_York').strftime('%Y-%m-%d %H:%M:%S%z')

    source.emit(df.copy())  # Emit the updated DataFrame to the stream

def on_open(ws):
    print("opened connection")
    # Authentication
    auth_data = {"action":"auth","key": config.API_KEY,"secret": config.SECRET_KEY}

    # Subscribe
    ws.send(json.dumps(auth_data))
    
    listen_message = {"action":"subscribe","quotes":ticker_list}
    ws.send(json.dumps(listen_message))
    print('subscribed')       

def on_message(ws, message):
    json_message = json.loads(message)
    
    # Update the DataFrame and emit it to the stream
    update_dataframe(json_message, df)

def on_close(ws):
    print("closed connection")

def print_result(x):
    print(x)

sink = source.map(print_result)  # Set up a sink to consume and process the emitted data

socket = "wss://stream.data.alpaca.markets/v2/iex"
ws = websocket.WebSocketApp(socket, on_open=on_open, on_message=on_message, on_close=on_close)
ws.run_forever()
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  3. Fork 仓库，在一个分支上完成修改。
  4. 提交 Pull Request，并在描述里引用这个 Issue 编号。

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