Implement initial project structure with logging and token fetching functionality

This commit is contained in:
Nawaz Haider
2026-01-01 18:41:11 +06:00
parent 3e20a07f39
commit bac5bca57d
7 changed files with 170 additions and 0 deletions
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logs/
__pycache__/
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LOG_FOLDER = "logs/"
GAMMA_API_URL = "https://gamma-api.polymarket.com"
REQUEST_TIMEOUT = 5
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import asyncio
from utils.logger import setup_logging
from utils.tokens import fetch_tokens
async def main():
logger = setup_logging()
logger.info("Polymarket HFT Market Maker started")
up_token, down_token, market_slug = await fetch_tokens()
if __name__ == "__main__":
try:
asyncio.run(main())
except KeyboardInterrupt:
print("\nMarket maker stopped by user")
except Exception as e:
print(f"Fatal error: {e}")
exit(1)
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import logging
from pathlib import Path
from datetime import datetime
from config import LOG_FOLDER
def setup_logging():
logs_dir = Path(LOG_FOLDER)
logs_dir.mkdir(exist_ok=True)
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S_%f")[:-3]
log_filename = logs_dir / f"polymarket_hft_{timestamp}.log"
log_format = "%(asctime)s.%(msecs)03d - %(name)s - %(levelname)s - %(message)s"
date_format = "%Y-%m-%d %H:%M:%S"
logging.basicConfig(
level=logging.INFO,
format=log_format,
datefmt=date_format,
handlers=[
logging.FileHandler(log_filename, encoding="utf-8"),
logging.StreamHandler(),
],
)
return logging.getLogger(__name__)
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import pytz
from datetime import datetime
MARKET_INTERVAL_SECONDS = 900
TIMEZONE = "US/Eastern"
def get_market_slug(coin: str = "btc") -> str:
if not coin or not isinstance(coin, str):
raise ValueError("Coin must be a non-empty string")
et_tz = pytz.timezone(TIMEZONE)
now = datetime.now(et_tz)
ts = int(now.timestamp())
start = (ts // MARKET_INTERVAL_SECONDS) * MARKET_INTERVAL_SECONDS
return f"{coin.lower()}-updown-15m-{start}"
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import json
import logging
from multiprocessing.util import get_logger
from typing import Optional, Tuple
import aiohttp
from .slug import get_market_slug
from config import GAMMA_API_URL, REQUEST_TIMEOUT
logger = logging.getLogger(__name__)
async def fetch_tokens(
coin: str = "btc",
) -> Tuple[Optional[str], Optional[str], Optional[str]]:
if not coin or not isinstance(coin, str):
raise ValueError("Coin must be a non-empty string")
try:
slug = get_market_slug(coin)
url = f"{GAMMA_API_URL}/events/slug/{slug}"
async with aiohttp.ClientSession() as session:
async with session.get(
url, timeout=aiohttp.ClientTimeout(total=REQUEST_TIMEOUT)
) as response:
if response.status == 200:
data = await response.json()
return _extract_tokens(data, slug)
else:
logger.warning(f"API request failed with status {response.status}")
except aiohttp.ClientError as e:
logger.error(f"Network error fetching tokens: {e}")
except json.JSONDecodeError as e:
logger.error(f"Invalid JSON response: {e}")
except ValueError as e:
logger.error(f"Invalid input: {e}")
raise
except Exception as e:
logger.error(f"Unexpected error fetching tokens: {e}")
return None, None, None
def _extract_tokens(
data: dict, slug: str
) -> Tuple[Optional[str], Optional[str], Optional[str]]:
try:
if not isinstance(data, dict) or "markets" not in data:
logger.error("Invalid response structure: missing 'markets' field")
return None, None, None
markets = data["markets"]
if not isinstance(markets, list) or len(markets) == 0:
logger.error("Invalid response structure: 'markets' is empty or not a list")
return None, None, None
market = markets[0]
if not isinstance(market, dict) or "clobTokenIds" not in market:
logger.error("Invalid market structure: missing 'clobTokenIds'")
return None, None, None
clob_token_ids = market["clobTokenIds"]
if not isinstance(clob_token_ids, str):
logger.error("Invalid token IDs format: not a string")
return None, None, None
try:
token_list = json.loads(clob_token_ids)
if not isinstance(token_list, list) or len(token_list) < 2:
logger.error("Invalid token list format or insufficient tokens")
return None, None, None
up_token = token_list[0]
down_token = token_list[1]
if not (
isinstance(up_token, str)
and isinstance(down_token, str)
and up_token.isdigit()
and down_token.isdigit()
):
logger.error("Invalid token ID format")
return None, None, None
logger.info(
f"Successfully extracted tokens for market {slug}: \n\tUP : {up_token} \n\tDOWN : {down_token}"
)
return up_token, down_token, slug
except json.JSONDecodeError as e:
logger.error(f"Failed to parse token IDs JSON: {e}")
return None, None, None
except Exception as e:
logger.error(f"Unexpected error extracting tokens: {e}")
return None, None, None