warproxxx
112 lines
4.3 KiB
Python
112 lines
4.3 KiB
Python
import gc # Garbage collection
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import time # Time functions
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import asyncio # Asynchronous I/O
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import traceback # Exception handling
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import threading # Thread management
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from poly_data.polymarket_client import PolymarketClient
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from poly_data.data_utils import update_markets, update_positions, update_orders
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from poly_data.websocket_handlers import connect_market_websocket, connect_user_websocket
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import poly_data.global_state as global_state
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from poly_data.data_processing import remove_from_performing
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def update_once():
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"""
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Initialize the application state by fetching market data, positions, and orders.
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"""
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update_markets() # Get market information from Google Sheets
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update_positions() # Get current positions from Polymarket
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update_orders() # Get current orders from Polymarket
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def remove_from_pending():
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"""
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Clean up stale trades that have been pending for too long (>15 seconds).
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This prevents the system from getting stuck on trades that may have failed.
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"""
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try:
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current_time = time.time()
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# Iterate through all performing trades
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for col in list(global_state.performing.keys()):
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for trade_id in list(global_state.performing[col]):
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try:
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# If trade has been pending for more than 15 seconds, remove it
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if current_time - global_state.performing_timestamps[col].get(trade_id, current_time) > 15:
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print(f"Removing stale entry {trade_id} from {col} after 15 seconds")
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remove_from_performing(col, trade_id)
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print("After removing: ", global_state.performing, global_state.performing_timestamps)
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except:
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print("Error in remove_from_pending")
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print(traceback.format_exc())
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except:
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print("Error in remove_from_pending")
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print(traceback.format_exc())
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def update_periodically():
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"""
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Background thread function that periodically updates market data, positions and orders.
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- Positions and orders are updated every 5 seconds
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- Market data is updated every 30 seconds (every 6 cycles)
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- Stale pending trades are removed each cycle
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"""
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i = 1
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while True:
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time.sleep(5) # Update every 5 seconds
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try:
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# Clean up stale trades
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remove_from_pending()
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# Update positions and orders every cycle
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update_positions(avgOnly=True) # Only update average price, not position size
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update_orders()
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# Update market data every 6th cycle (30 seconds)
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if i % 6 == 0:
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update_markets()
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i = 1
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gc.collect() # Force garbage collection to free memory
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i += 1
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except:
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print("Error in update_periodically")
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print(traceback.format_exc())
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async def main():
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"""
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Main application entry point. Initializes client, data, and manages websocket connections.
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"""
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# Initialize client
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global_state.client = PolymarketClient()
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# Initialize state and fetch initial data
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global_state.all_tokens = []
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update_once()
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print("After initial updates: ", global_state.orders, global_state.positions)
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print("\n")
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print(f'There are {len(global_state.df)} market, {len(global_state.positions)} positions and {len(global_state.orders)} orders. Starting positions: {global_state.positions}')
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# Start background update thread
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update_thread = threading.Thread(target=update_periodically, daemon=True)
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update_thread.start()
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# Main loop - maintain websocket connections
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while True:
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try:
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# Connect to market and user websockets simultaneously
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await asyncio.gather(
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connect_market_websocket(global_state.all_tokens),
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connect_user_websocket()
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)
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print("Reconnecting to the websocket")
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except:
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print("Error in main loop")
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print(traceback.format_exc())
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await asyncio.sleep(1)
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gc.collect() # Clean up memory
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if __name__ == "__main__":
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asyncio.run(main()) |