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cf9670303c
* fred decorator * fmp decorator * quandl decorator * reddit decorator * polygon decorator * twitter decorator * news decorator * tradier decorator * cmc decorator * binance decorator * finnhub decorator * iex decorator * sentiment investor * walert decorator * glassnode decorator * coinglass decorator * cryptopanic decorator * bitquery decorator * smartstake decorator * messari decorator * github decorator * santiment decorator * eodhd decorator * import check_api_decorator * fix some decorators * fix some decorators * remove some decorator * decorator fixes * black * mypy * mypy again * mypy again * pylint * decorator * too many line * fix fred ycrv * mypy * rewrite events test * another try Co-authored-by: minhhoang1023 <40023817+minhhoang1023@users.noreply.github.com>
69 lines
1.6 KiB
Python
69 lines
1.6 KiB
Python
"""SmartStake Model"""
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__docformat__ = "numpy"
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from typing import Union, Dict
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import requests
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import pandas as pd
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from openbb_terminal.decorators import check_api_key
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from openbb_terminal import config_terminal as cfg
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from openbb_terminal.rich_config import console
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@check_api_key(["API_SMARTSTAKE_KEY", "API_SMARTSTAKE_TOKEN"])
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def get_luna_supply_stats(
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supply_type: str = "lunaSupplyChallengeStats", days: int = 30
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) -> pd.DataFrame:
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"""Get supply history of the Terra ecosystem
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Source: [Smartstake.io]
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Parameters
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----------
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supply_type: str
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Supply type to unpack json
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days: int
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Day count to fetch data
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Returns
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-------
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pd.DataFrame
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Dataframe of supply history data
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"""
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payload: Dict[str, Union[int, str]] = {
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"type": "history",
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"dayCount": days,
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"key": cfg.API_SMARTSTAKE_KEY,
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"token": cfg.API_SMARTSTAKE_TOKEN,
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}
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response = requests.get(
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"https://prod.smartstakeapi.com/listData?app=TERRA",
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params=payload,
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)
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response_json = response.json()
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df = pd.DataFrame()
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if "errors" in response_json:
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if "DENIED" in response_json["errors"]:
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console.print("[red]Invalid API Key[/red]\n")
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else:
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console.print(response_json["errors"])
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else:
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result = response_json[supply_type]
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# check if result is not empty
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if result:
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df = pd.DataFrame(result)
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df = df.set_index("title")
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df.index.name = "timestamp_date"
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df.index = pd.to_datetime(df.index)
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else:
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console.print("No data found")
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return df
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