Files
OpenBB/openbb_terminal/cryptocurrency/tools/tools_view.py
Pratyush Shukla 13283fbfce CI listing quick fix (#6002)
* BIGGGG LINTING

* fixing lints

* fixing lints

* black

* very ruff

* no export

* fix hedge_view again

* lints

* platform lints

* lints

* black

* black it @hjoaquim

* fix some more linting

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Co-authored-by: hjoaquim <h.joaquim@campus.fct.unl.pt>
2024-01-26 17:08:42 +00:00

117 lines
2.7 KiB
Python

"""Tools View"""
__docformat__ = "numpy"
import logging
import os
from typing import Optional
from openbb_terminal.cryptocurrency.tools.tools_model import calculate_apy, calculate_il
from openbb_terminal.decorators import log_start_end
from openbb_terminal.helper_funcs import export_data, print_rich_table
from openbb_terminal.rich_config import console
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
def display_apy(
apr: float,
compounding_times: int,
narrative: bool = False,
export: str = "",
sheet_name: Optional[str] = None,
):
"""Displays APY value converted from APR
Parameters
----------
apr: float
value in percentage
compounding_times: int
number of compounded periods in a year
narrative: str
display narrative version instead of dataframe
export : str
Export dataframe data to csv,json,xlsx file
Returns
-------
"""
df, apy_str = calculate_apy(apr, compounding_times)
if narrative:
console.print(apy_str)
else:
print_rich_table(
df,
headers=list(df.columns),
show_index=False,
title="APR/APY Calculator",
export=bool(export),
)
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"aprtoapy",
apy_str,
sheet_name,
)
@log_start_end(log=logger)
def display_il(
price_changeA: int,
price_changeB: int,
proportion: int,
initial_pool_value: int,
narrative: bool = False,
export: str = "",
sheet_name: Optional[str] = None,
):
"""Displays Impermanent Loss in a custom liquidity pool
Parameters
----------
price_changeA: float
price change of crypto A in percentage
price_changeB: float
price change of crypto B in percentage
proportion: float
percentage of first token in pool
initial_pool_value: float
initial value that pool contains
narrative: str
display narrative version instead of dataframe
export : str
Export dataframe data to csv,json,xlsx file
Returns
-------
"""
df, il_str = calculate_il(
price_changeA=price_changeA,
price_changeB=price_changeB,
proportion=proportion,
initial_pool_value=initial_pool_value,
)
if narrative:
console.print(il_str)
else:
print_rich_table(
df,
headers=list(df.columns),
show_index=False,
title="Impermanent Loss Calculator",
export=bool(export),
)
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"il",
df,
sheet_name,
)