Files
Funding_Rate/_On_Ice/ws_aster_fund_rate_all.py

105 lines
3.3 KiB
Python

import asyncio
import json
import logging
import socket
import traceback
from datetime import datetime
from typing import AsyncContextManager
# import numpy as np
# import pandas as pd
import requests.packages.urllib3.util.connection as urllib3_cn # type: ignore
# from sqlalchemy import text
import websockets
# from sqlalchemy.ext.asyncio import create_async_engine
import valkey
import os
from dotenv import load_dotenv
import modules.utils as utils
### Allow only ipv4 ###
def allowed_gai_family():
return socket.AF_INET
urllib3_cn.allowed_gai_family = allowed_gai_family
### Database ###
USE_DB: bool = False
VK_CHANNEL = 'fund_rate_aster_all'
CON: AsyncContextManager
VAL_KEY: valkey.Valkey
### Logging ###
load_dotenv()
LOG_FILEPATH: str = f'{os.getenv(key="LOGS_PATH")}/Fund_Rate_Aster_FR_ALL.log'
### Globals ###
WSS_URL: str = "wss://fstream.asterdex.com/ws/!markPrice@arr"
### Websocket ###
async def ws_stream():
async for websocket in websockets.connect(WSS_URL):
logging.info(msg=f"Connected to {WSS_URL}")
try:
async for message in websocket:
if isinstance(message, str):
try:
data: dict = json.loads(message)
if data:
VAL_KEY.set(name=VK_CHANNEL, value=json.dumps(obj=data))
# print(f'VK_SAVED: {len(data)}')
continue
else:
logging.info(f'Initial or unexpected data struct, skipping: {data}')
continue
except (json.JSONDecodeError, ValueError):
logging.warning(f'Message not in JSON format, skipping: {message}')
continue
else:
raise ValueError(f'Type: {type(data)} not expected: {message}')
except websockets.ConnectionClosed as e:
logging.error(msg=f'Connection closed: {e}')
logging.error(msg=traceback.format_exc())
utils.send_tg_alert(msg=f'WS: {VK_CHANNEL} - Failure: {e}')
except Exception as e:
logging.error(msg=f'Connection closed: {e}')
logging.error(msg=traceback.format_exc())
utils.send_tg_alert(msg=f'WS: {VK_CHANNEL} - Failure: {e}')
### Startup ###
async def main():
global VAL_KEY
global CON
VAL_KEY = valkey.Valkey(host='localhost', port=6379, db=0)
if USE_DB:
raise NotImplementedError('DB not implemented for this ws.')
# engine = create_async_engine('mysql+asyncmy://root:pwd@localhost/fund_rate')
# async with engine.connect() as CON:
# await ws_stream()
else:
logging.warning("DATABASE NOT BEING USED, NO DATA WILL BE RECORDED")
await ws_stream()
if __name__ == '__main__':
START_TIME: int = round(number=datetime.now().timestamp()*1000)
logging.info(msg=f'Log FilePath: {LOG_FILEPATH}')
logging.basicConfig(
force=True,
filename=LOG_FILEPATH,
level=logging.INFO,
format='%(asctime)s - %(levelname)s - %(message)s',
filemode='w'
)
logging.info(msg=f"STARTED: {START_TIME}")
try:
asyncio.run(main())
except KeyboardInterrupt:
logging.info(msg="Stream stopped")