save market cap of all coins
This commit is contained in:
@ -8,47 +8,52 @@ import requests
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import time
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from datetime import datetime, timezone, timedelta
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import json
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from dotenv import load_dotenv
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load_dotenv()
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# Assuming logging_utils.py is in the same directory
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from logging_utils import setup_logging
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class MarketCapFetcher:
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"""
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Fetches historical daily market cap data from the CoinGecko API and
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intelligently updates the SQLite database. It processes individual coins,
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aggregates stablecoins, and captures total market cap metrics.
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intelligently updates the SQLite database for all coins found in the coin map.
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"""
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COIN_ID_MAP = {
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"BTC": "bitcoin",
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"ETH": "ethereum",
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"SOL": "solana",
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"BNB": "binancecoin",
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"HYPE": "hyperliquid",
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"ASTER": "astar",
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"ZEC": "zcash",
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"PUMP": "pump-fun", # Correct ID is 'pump-fun'
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"SUI": "sui"
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}
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STABLECOIN_ID_MAP = {
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"USDT": "tether",
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"USDC": "usd-coin",
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"USDE": "ethena-usde",
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"DAI": "dai",
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"PYUSD": "paypal-usd"
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}
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def __init__(self, log_level: str, coins: list):
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def __init__(self, log_level: str):
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setup_logging(log_level, 'MarketCapFetcher')
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self.coins_to_fetch = coins
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self.db_path = os.path.join("_data", "market_data.db")
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self.api_base_url = "https://api.coingecko.com/api/v3"
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self.api_key = os.environ.get("COINGECKO_API_KEY")
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if not self.api_key:
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logging.error("CoinGecko API key not found. Please set the COINGECKO_API_KEY environment variable.")
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sys.exit(1)
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self.COIN_ID_MAP = self._load_coin_id_map()
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if not self.COIN_ID_MAP:
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logging.error("Coin ID map is empty. Run 'update_coin_map.py' to generate it.")
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sys.exit(1)
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# --- FIX: The list of coins to fetch is now all coins from the map ---
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self.coins_to_fetch = list(self.COIN_ID_MAP.keys())
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self.STABLECOIN_ID_MAP = {
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"USDT": "tether",
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"USDC": "usd-coin",
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"USDE": "ethena-usde",
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"DAI": "dai",
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"PYUSD": "paypal-usd"
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}
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def _load_coin_id_map(self) -> dict:
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"""Loads the dynamically generated coin-to-id mapping."""
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map_file_path = os.path.join("_data", "coin_id_map.json")
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try:
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with open(map_file_path, 'r') as f:
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return json.load(f)
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except (FileNotFoundError, json.JSONDecodeError) as e:
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logging.error(f"Could not load '{map_file_path}'. Please run 'update_coin_map.py' first. Error: {e}")
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return {}
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def run(self):
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"""
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@ -58,7 +63,7 @@ class MarketCapFetcher:
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with sqlite3.connect(self.db_path) as conn:
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conn.execute("PRAGMA journal_mode=WAL;")
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# 1. Process individual coins
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# 1. Process individual coins from the map
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for coin_symbol in self.coins_to_fetch:
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coin_id = self.COIN_ID_MAP.get(coin_symbol.upper())
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if not coin_id:
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@ -123,7 +128,6 @@ class MarketCapFetcher:
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table_name = "TOTAL_market_cap_daily"
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try:
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# --- FIX: Use the current date instead of yesterday's ---
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today_date = datetime.now(timezone.utc).date()
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cursor = conn.cursor()
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@ -131,7 +135,6 @@ class MarketCapFetcher:
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table_exists = cursor.fetchone()
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if table_exists:
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# Check if we already have a record for today
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cursor.execute(f"SELECT 1 FROM \"{table_name}\" WHERE date(datetime_utc) = ? LIMIT 1", (today_date.isoformat(),))
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if cursor.fetchone():
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logging.info(f"Total market cap for {today_date} already exists. Skipping.")
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@ -245,7 +248,7 @@ class MarketCapFetcher:
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try:
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logging.debug(f"Fetching last {days} days for {coin_id}...")
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response = requests.get(url, headers=headers)
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response = requests.get(url, headers=headers, params=params)
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response.raise_for_status()
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data = response.json()
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@ -264,12 +267,7 @@ class MarketCapFetcher:
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Fetch historical market cap data from CoinGecko.")
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parser.add_argument(
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"--coins",
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nargs='+',
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default=["BTC", "ETH", "SOL", "BNB", "HYPE", "ASTER", "ZEC", "PUMP", "SUI"],
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help="List of coin symbols to fetch (e.g., BTC ETH)."
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)
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# --- FIX: The --coins argument is no longer needed as the script is now fully automated ---
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parser.add_argument(
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"--log-level",
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default="normal",
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@ -278,6 +276,7 @@ if __name__ == "__main__":
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)
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args = parser.parse_args()
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fetcher = MarketCapFetcher(log_level=args.log_level, coins=args.coins)
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# The 'coins' argument is no longer passed to the constructor
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fetcher = MarketCapFetcher(log_level=args.log_level)
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fetcher.run()
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