short_script.py

# Basically for latest 24 Hour change percentage what i did is to get the current metrics and get the yesterday metric for the same time
# and then manually calculated the percentage.

client = CoinMetricsClient(api_key=api_key)

def get_coin_info(coin_ids):
    data = list(client.catalog_assets(exclude=["exchanges","markets","metrics"],assets=coin_ids))
    data_today = client.get_asset_metrics(coin_ids,metrics="ReferenceRateUSD",frequency="1m",page_size=10,limit_per_asset=1,paging_from="end",end_time=datetime.utcnow(),end_inclusive=True)
    yesterday = datetime.utcnow() - timedelta(days=1)

    data_yesterday = client.get_asset_metrics(coin_ids,metrics="ReferenceRateUSD",frequency="1m",page_size=10,limit_per_asset=1,paging_from="start",start_time=yesterday,start_inclusive=True)
    historical_data = list(data_today) + list(data_yesterday)

    coin_data = {}
    for coin in data:
        price_change_data = [x for x in historical_data if x["asset"] == str(coin["asset"]).lower()]
        price_change = float(price_change_data[0]["ReferenceRateUSD"]) - float(price_change_data[1]["ReferenceRateUSD"])
        price_change_pct = (price_change / float(price_change_data[1]["ReferenceRateUSD"]))
        coin_info = {
            "id": str(coin["asset"]).upper(),
            "name": coin["full_name"],
            "symbol": str(coin["asset"]).upper(),
            "currency": str(coin["asset"]).upper(),
            "1d": {
                "price_change": str(price_change),
                "price_change_pct": str(price_change_pct),
                "volume": str(0),
            },
        }
        coin_data.update({(str(coin["asset"])).upper(): coin_info})
    return coin_data