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45a06098a9
* handle defi anchor exceptions * reason * mypy --------- Co-authored-by: Henrique Joaquim <h.joaquim@campus.fct.unl.pt>
72 lines
2.6 KiB
Python
72 lines
2.6 KiB
Python
"""Cryptosaurio model"""
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__docformat__ = "numpy"
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import logging
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from typing import Tuple
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import pandas as pd
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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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from openbb_terminal.rich_config import console
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logger = logging.getLogger(__name__)
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api_url = "https://barney.cryptosaurio.com"
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@log_start_end(log=logger)
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def get_anchor_data(address: str = "") -> Tuple[pd.DataFrame, pd.DataFrame, str]:
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"""Returns anchor protocol earnings data of a certain terra address
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[Source: https://cryptosaurio.com/]
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Parameters
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----------
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address : str
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Terra address. Valid terra addresses start with 'terra'
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Returns
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-------
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Tuple[pd.DataFrame, pd.DataFrame, str]
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- pd.DataFrame: Earnings over time in UST
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- pd.DataFrame: History of transactions
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- str: Overall statistics
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"""
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if not address.startswith("terra"):
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console.print(
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"Select a valid address. Valid terra addresses start with 'terra'"
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)
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return pd.DataFrame(), pd.DataFrame(), ""
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response = request(f"{api_url}/get-anchor-protocol-data-v2/{address}")
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if response.status_code != 200:
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console.print(f"Status code: {response.status_code}. Reason: {response.reason}")
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return pd.DataFrame(), pd.DataFrame(), ""
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data = response.json()
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df = pd.DataFrame(reversed(data["historicalData"]))
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df["time"] = pd.to_datetime(df["time"])
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df["yield"] = df["yield"].astype("float64")
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df_deposits = pd.DataFrame(data["deposits"], columns=["out", "fee", "time"])
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df_deposits["out"] = df_deposits["out"].astype("float64")
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df_deposits["fee"] = df_deposits["fee"].astype("float64")
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df_deposits["time"] = pd.to_datetime(df_deposits["time"])
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df_deposits["Type"] = df_deposits.apply(
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lambda row: "Deposit" if row.out > 0 else "Withdrawal", axis=1
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)
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df_deposits.columns = ["Amount [UST]", "Fee [UST]", "Date", "Type"]
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df_deposits = df_deposits[["Type", "Amount [UST]", "Fee [UST]", "Date"]]
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stats_str = f"""Current anchor APY is {data['currentRate']}%
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Deposit amount in Anchor Earn of address {address} is {data["totalYield"]["ustHoldings"]} UST.
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You already earned [bold]{df.iloc[-1, 1]}[/bold] UST in Anchor Earn.
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Your deposit is generating approximately:
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- {data["estimatedYield"]["perHour"]} UST hourly
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- {data["estimatedYield"]["perDay"]} UST daily
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- {data["estimatedYield"]["perWeek"]} UST weekly
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- {data["estimatedYield"]["perMonth"]} UST monthly
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- {data["estimatedYield"]["perYear"]} UST yearly"""
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return df, df_deposits, stats_str
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