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ee34a1f278
* Fixed isort * Fixed issues * FIxed linters --------- Co-authored-by: James Maslek <jmaslek11@gmail.com>
113 lines
2.6 KiB
Python
113 lines
2.6 KiB
Python
"""Tools View"""
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__docformat__ = "numpy"
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import logging
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import os
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from openbb_terminal.cryptocurrency.tools.tools_model import calculate_apy, calculate_il
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from openbb_terminal.decorators import log_start_end
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from openbb_terminal.helper_funcs import export_data, print_rich_table
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from openbb_terminal.rich_config import console
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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def display_apy(
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apr: float,
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compounding_times: int,
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narrative: bool = False,
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export: str = "",
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sheet_name: str = None,
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):
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"""Displays APY value converted from APR
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Parameters
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----------
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apr: float
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value in percentage
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compounding_times: int
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number of compounded periods in a year
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narrative: str
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display narrative version instead of dataframe
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export : str
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Export dataframe data to csv,json,xlsx file
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Returns
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-------
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"""
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df, apy_str = calculate_apy(apr, compounding_times)
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if narrative:
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console.print(apy_str)
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else:
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print_rich_table(
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df,
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headers=list(df.columns),
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show_index=False,
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title="APR/APY Calculator",
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)
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export_data(
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export,
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os.path.dirname(os.path.abspath(__file__)),
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"aprtoapy",
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apy_str,
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sheet_name,
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)
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@log_start_end(log=logger)
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def display_il(
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price_changeA: int,
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price_changeB: int,
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proportion: int,
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initial_pool_value: int,
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narrative: bool = False,
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export: str = "",
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sheet_name: str = None,
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):
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"""Displays Impermanent Loss in a custom liquidity pool
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Parameters
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----------
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price_changeA: float
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price change of crypto A in percentage
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price_changeB: float
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price change of crypto B in percentage
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proportion: float
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percentage of first token in pool
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initial_pool_value: float
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initial value that pool contains
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narrative: str
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display narrative version instead of dataframe
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export : str
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Export dataframe data to csv,json,xlsx file
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Returns
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-------
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"""
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df, il_str = calculate_il(
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price_changeA=price_changeA,
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price_changeB=price_changeB,
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proportion=proportion,
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initial_pool_value=initial_pool_value,
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)
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if narrative:
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console.print(il_str)
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else:
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print_rich_table(
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df,
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headers=list(df.columns),
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show_index=False,
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title="Impermanent Loss Calculator",
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)
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export_data(
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export,
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os.path.dirname(os.path.abspath(__file__)),
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"il",
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df,
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sheet_name,
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)
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