adding aster
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aster.ipynb
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aster.ipynb
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141
ws_aster.py
141
ws_aster.py
@@ -25,21 +25,23 @@ urllib3_cn.allowed_gai_family = allowed_gai_family
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### Database ###
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USE_DB: bool = False
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USE_VK: bool = True
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# VK_FUND_RATE = 'fund_rate_apex'
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VK_TICKER = 'fut_ticker_apex'
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VK_FUND_RATE = 'fund_rate_aster'
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VK_TICKER = 'fut_ticker_aster'
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CON: AsyncContextManager | None = None
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VAL_KEY = None
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### Logging ###
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load_dotenv()
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LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Apex.log'
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LOG_FILEPATH: str = os.getenv("LOGS_PATH") + '/Fund_Rate_Aster.log'
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### CONSTANTS ###
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PING_INTERVAL_SEC = 15
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SYMBOL: str = 'ETHUSDT'
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STREAM_MARKPRICE: str = f'{SYMBOL.lower()}@markPrice@1s'
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STREAM_BOOKTICKER: str = f'{SYMBOL.lower()}@bookTicker'
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### Globals ###
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WSS_URL = "wss://quote.omni.apex.exchange/realtime_public?v=2×tamp="
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TICKER_SNAPSHOT_DATA_LAST: dict = {}
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WSS_URL = f"wss://fstream.asterdex.com/stream?streams={STREAM_MARKPRICE}/{STREAM_BOOKTICKER}"
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# WSS_URL = f"wss://fstream.asterdex.com/stream?streams={STREAM_MARKPRICE}"
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# HIST_TRADES = np.empty((0, 3))
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# HIST_TRADES_LOOKBACK_SEC = 6
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@@ -112,93 +114,58 @@ TICKER_SNAPSHOT_DATA_LAST: dict = {}
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# raise ValueError('Only MySQL engine is implemented')
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### Websocket ###
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async def heartbeat(ws):
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while True:
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await asyncio.sleep(PING_INTERVAL_SEC)
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logging.info("SENDING PING...")
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ping_msg = {"op":"ping","args":[ str(round(datetime.now().timestamp()*1000)) ]}
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await ws.send(json.dumps(ping_msg))
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async def ws_stream():
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global TICKER_SNAPSHOT_DATA_LAST
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async for websocket in websockets.connect(f'{WSS_URL}{round(datetime.now().timestamp())}'):
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async for websocket in websockets.connect(WSS_URL):
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logging.info(f"Connected to {WSS_URL}")
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asyncio.create_task(heartbeat(ws=websocket))
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subscribe_msg = {
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"op": "subscribe",
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"args": ["instrumentInfo.H.ETHUSDT"]
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}
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await websocket.send(json.dumps(subscribe_msg))
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try:
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async for message in websocket:
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ts_arrival = round(datetime.now().timestamp()*1000)
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print(message)
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# if isinstance(message, str):
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# try:
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# data = json.loads(message)
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# if data.get('op', None) == 'ping':
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# pong_msg = {"op":"pong","args":[ str(round(datetime.now().timestamp()*1000)) ]}
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# logging.info(f'RECEIVED PING: {data}; SENDING PONG: {pong_msg}')
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# await websocket.send(json.dumps(pong_msg))
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# continue
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# elif data.get('success', None):
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# # logging.info('CONNECTION SUCCESFUL RESP MSG')
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# continue
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# msg_type = data.get('type', None)
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# if msg_type is not None:
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# match msg_type:
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# case 'snapshot':
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# TICKER_SNAPSHOT_DATA_LAST = data['data']
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# nextFundingTime_ts = round(datetime.strptime(TICKER_SNAPSHOT_DATA_LAST['nextFundingTime'], "%Y-%m-%dT%H:%M:%SZ").timestamp()*1000)
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# VAL_KEY_OBJ = json.dumps({
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# 'timestamp_arrival': ts_arrival,
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# 'timestamp_msg': data['ts'],
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# 'symbol': TICKER_SNAPSHOT_DATA_LAST['symbol'],
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# 'lastPrice': float(TICKER_SNAPSHOT_DATA_LAST['lastPrice']),
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# 'markPrice': float(TICKER_SNAPSHOT_DATA_LAST['markPrice']),
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# 'indexPrice': float(TICKER_SNAPSHOT_DATA_LAST['indexPrice']),
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# 'volume24h': float(TICKER_SNAPSHOT_DATA_LAST['volume24h']),
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# 'fundingRate': float(TICKER_SNAPSHOT_DATA_LAST['fundingRate']),
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# 'predictedFundingRate': float(TICKER_SNAPSHOT_DATA_LAST['predictedFundingRate']),
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# 'nextFundingTime_ts_ms': nextFundingTime_ts,
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# })
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# VAL_KEY.set(VK_TICKER, VAL_KEY_OBJ)
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# continue
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# case 'delta':
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# TICKER_SNAPSHOT_DATA_LAST.update(data['data'])
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# nextFundingTime_ts = round(datetime.strptime(TICKER_SNAPSHOT_DATA_LAST['nextFundingTime'], "%Y-%m-%dT%H:%M:%SZ").timestamp()*1000)
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# VAL_KEY_OBJ = json.dumps({
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# 'timestamp_arrival': ts_arrival,
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# 'timestamp_msg': data['ts'],
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# 'symbol': TICKER_SNAPSHOT_DATA_LAST['symbol'],
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# 'lastPrice': float(TICKER_SNAPSHOT_DATA_LAST['lastPrice']),
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# 'markPrice': float(TICKER_SNAPSHOT_DATA_LAST['markPrice']),
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# 'indexPrice': float(TICKER_SNAPSHOT_DATA_LAST['indexPrice']),
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# 'volume24h': float(TICKER_SNAPSHOT_DATA_LAST['volume24h']),
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# 'fundingRate': float(TICKER_SNAPSHOT_DATA_LAST['fundingRate']),
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# 'predictedFundingRate': float(TICKER_SNAPSHOT_DATA_LAST['predictedFundingRate']),
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# 'nextFundingTime_ts_ms': nextFundingTime_ts,
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# })
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# VAL_KEY.set(VK_TICKER, VAL_KEY_OBJ)
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# continue
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# case _:
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# logging.warning(f'UNMATCHED OTHER MSG: {data}')
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# else:
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# logging.info(f'Initial or unexpected data struct, skipping: {data}')
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# continue
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# except (json.JSONDecodeError, ValueError):
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# logging.warning(f'Message not in JSON format, skipping: {message}')
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# continue
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# else:
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# raise ValueError(f'Type: {type(data)} not expected: {message}')
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if isinstance(message, str):
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try:
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data = json.loads(message)
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channel = data.get('stream', None)
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if channel is not None:
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match channel:
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case c if c == STREAM_MARKPRICE:
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print(f'MP: {data}')
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VAL_KEY_OBJ = json.dumps({
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'timestamp_arrival': ts_arrival,
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'timestamp_msg': data['data']['E'],
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'symbol': data['data']['s'],
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'mark_price': data['data']['p'],
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'index_price': data['data']['i'],
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'estimated_settle_price': data['data']['P'],
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'funding_rate': data['data']['r'],
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'next_funding_time_ts_ms': data['data']['T'],
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})
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VAL_KEY.set(VK_FUND_RATE, VAL_KEY_OBJ)
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continue
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case c if c == STREAM_BOOKTICKER:
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# print(f'BT: {data}')
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VAL_KEY_OBJ = json.dumps({
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'timestamp_arrival': ts_arrival,
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'timestamp_msg': data['data']['E'],
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'timestamp_transaction': data['data']['T'],
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'orderbook_update_id': data['data']['u'],
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'symbol': data['data']['s'],
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'best_bid_px': data['data']['b'],
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'best_bid_qty': data['data']['B'],
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'best_ask_px': data['data']['a'],
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'best_ask_qty': data['data']['A'],
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})
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VAL_KEY.set(VK_TICKER, VAL_KEY_OBJ)
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continue
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case _:
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logging.warning(f'UNMATCHED OTHER MSG: {data}')
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else:
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logging.info(f'Initial or unexpected data struct, skipping: {data}')
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continue
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except (json.JSONDecodeError, ValueError):
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logging.warning(f'Message not in JSON format, skipping: {message}')
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continue
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else:
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raise ValueError(f'Type: {type(data)} not expected: {message}')
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except websockets.ConnectionClosed as e:
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logging.error(f'Connection closed: {e}')
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logging.error(traceback.format_exc())
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0
ws_extended.py
Normal file
0
ws_extended.py
Normal file
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