mirror of
https://github.com/OpenBB-finance/OpenBB.git
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c5d5b511ac
* fix: initial commit * fix: extra stuff * fix: lint * fix: ruff * fix: linting * fix: ruff * fix: pylint * fix: maybe fixed tests maybe not * fix: pr issues * fix: tests * fix: updated test locally * fix: generate sdk cmds * fix: added source * fix: tests maybe * fix: lint * fix: tests * test * test * test --------- Co-authored-by: James Maslek <jmaslek11@gmail.com> Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt>
92 lines
2.9 KiB
Python
92 lines
2.9 KiB
Python
"""CryptoStats model"""
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__docformat__ = "numpy"
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import logging
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import pandas as pd
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from openbb_terminal.cryptocurrency.defi.llama_model import (
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get_chains,
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get_defi_protocols,
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)
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from openbb_terminal.cryptocurrency.discovery.pycoingecko_model import get_coins
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from openbb_terminal.decorators import log_start_end
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from openbb_terminal.helper_funcs import request
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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def get_fees(marketcap: bool, tvl: bool, date) -> pd.DataFrame:
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"""Show cryptos with most fees. [Source: CryptoStats]
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Parameters
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----------
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marketcap: bool
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Whether to show marketcap or not
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tvl: bool
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Whether to show tvl or not
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date: datetime
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Date to get data from (YYYY-MM-DD)
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Returns
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-------
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pd.DataFrame
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Top coins with most fees
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"""
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df = pd.DataFrame()
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if not isinstance(date, str):
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date = date.strftime("%Y-%m-%d")
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response = request(
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f"https://api.cryptostats.community/api/v1/fees/oneDayTotalFees/{date}"
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)
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if response.status_code != 200:
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raise Exception(f"Status code: {response.status_code}. Reason: {response.text}")
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res = response.json()
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data = res["data"]
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df = pd.DataFrame(columns=["Symbol", "Name", "Category", "One Day Fees"])
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for i, item in enumerate(data):
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metadata = item["metadata"]
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results = item["results"]
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symbol = metadata.get("tokenTicker", "")
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name = metadata.get("name", "")
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category = metadata.get("category", "")
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fees = results.get("oneDayTotalFees", "")
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df.loc[i] = [symbol, name, category, fees]
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df = df.groupby(["Symbol", "Name", "Category"]).sum().reset_index()
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df = df.sort_values("One Day Fees", ascending=False)
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if marketcap:
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coins = get_coins()
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coins["symbol"] = coins["symbol"].str.upper()
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coins = coins[["symbol", "market_cap", "market_cap_rank"]]
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coins = coins.rename(
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columns={
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"symbol": "Symbol",
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"market_cap": "Market Cap",
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"market_cap_rank": "MC Rank",
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}
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)
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df = df.merge(coins, left_on="Symbol", right_on="Symbol", how="left")
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if tvl:
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protocols = get_defi_protocols(1000)
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protocols = protocols[["Symbol", "TVL ($)"]]
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protocols = protocols.rename(columns={"TVL ($)": "TVL"})
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protocols = protocols.groupby(["Symbol"]).sum().reset_index()
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df = df.merge(protocols, left_on="Symbol", right_on="Symbol", how="left")
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chains = get_chains()
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chains = chains[["tokenSymbol", "tvl"]]
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chains = chains.rename(columns={"tokenSymbol": "Symbol", "tvl": "TVL"})
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df = df.fillna(0)
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for index, row in df.iterrows():
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chain_tvl = chains[chains["Symbol"] == row["Symbol"]]
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if not chain_tvl.empty:
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df.loc[index, "TVL"] = chain_tvl["TVL"].iloc[0]
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return df
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