mirror of
https://github.com/OpenBB-finance/OpenBB.git
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281799f047
* improve autoscaling/dynamic loading, fix forex candle charts * updates * Update plotly_helper.py * fix? * fix table date sorting, localize forex load * tests * tests? * ugh tests * Update test_display_debt.txt * Update test_get_debt.csv * Update forex_helper.py * close #5182 * fix `crypto/dd/info` tables not loading due to `dict` object in dataframe values * Update parent_classes.py * tables: show full value on hover, fix year only filtering. on reset use queue if logged in * lint + first batch of test fix * tests pt2 * Tests v3 * Pylint * typo --------- Co-authored-by: James Maslek <jmaslek11@gmail.com>
384 lines
8.6 KiB
Python
384 lines
8.6 KiB
Python
"""CoinGecko view"""
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__docformat__ = "numpy"
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import logging
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import os
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from typing import Optional
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import openbb_terminal.cryptocurrency.due_diligence.pycoingecko_model as gecko
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from openbb_terminal.cryptocurrency import cryptocurrency_helpers
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from openbb_terminal.cryptocurrency.dataframe_helpers import wrap_text_in_df
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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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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def display_coin_potential_returns(
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to_symbol: str,
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from_symbol: Optional[str] = None,
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limit: Optional[int] = None,
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price: Optional[int] = None,
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export: str = "",
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sheet_name: Optional[str] = None,
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) -> None:
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"""Prints table showing potential returns of a certain coin. [Source: CoinGecko]
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Parameters
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----------
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to_symbol : str
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Coin loaded to check potential returns for (e.g., algorand)
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from_symbol : str | None
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Coin to compare main_coin with (e.g., bitcoin)
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limit : int | None
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Number of coins with highest market cap to compare main_coin with (e.g., 5)
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price
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Target price of main_coin to check potential returns (e.g., 5)
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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df = gecko.get_coin_potential_returns(to_symbol, from_symbol, limit, price)
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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="Potential Coin Returns",
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export=bool(export),
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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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"prt",
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df,
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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_info(
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symbol: str, export: str = "", sheet_name: Optional[str] = None
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) -> None:
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"""Prints table showing basic information about loaded coin. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency symbol
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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cg_id = cryptocurrency_helpers.check_cg_id(symbol)
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if not cg_id:
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return
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coin = gecko.Coin(cg_id)
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df = wrap_text_in_df(coin.get_base_info(), w=80)
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df = df.applymap(lambda x: x if not isinstance(x, dict) 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="Basic Coin Information",
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export=bool(export),
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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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"info",
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df,
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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_web(
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symbol: str, export: str = "", sheet_name: Optional[str] = None
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) -> None:
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"""Prints table showing found websites corresponding to loaded coin. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency symbol
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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cg_id = cryptocurrency_helpers.check_cg_id(symbol)
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if not cg_id:
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return
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coin = gecko.Coin(cg_id)
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df = coin.get_websites()
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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="Websites for Loaded Coin",
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export=bool(export),
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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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"web",
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df,
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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_social(
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symbol: str, export: str = "", sheet_name: Optional[str] = None
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) -> None:
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"""Prints table showing social media corresponding to loaded coin. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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coin = gecko.Coin(symbol)
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df = coin.get_social_media()
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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="Social Media for Loaded Coin",
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export=bool(export),
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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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"social",
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df,
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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_dev(
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symbol: str, export: str = "", sheet_name: Optional[str] = None
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) -> None:
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"""Prints table showing developers data for loaded coin. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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coin = gecko.Coin(symbol)
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df = coin.get_developers_data()
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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="Developers Data for Loaded Coin",
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export=bool(export),
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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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"dev",
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df,
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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_ath(
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symbol: str,
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currency: str = "usd",
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export: str = "",
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sheet_name: Optional[str] = None,
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) -> None:
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"""Prints table showing all time high data for loaded coin. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency
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currency: str
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currency vs which coin ath will be displayed: usd or btc
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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coin = gecko.Coin(symbol)
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df = coin.get_all_time_high(currency=currency)
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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="Coin Highs",
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export=bool(export),
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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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"ath",
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df,
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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_atl(
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symbol: str,
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currency: str = "usd",
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export: str = "",
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sheet_name: Optional[str] = None,
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) -> None:
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"""Prints table showing all time low data for loaded coin. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency
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currency: str
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currency vs which coin ath will be displayed: usd or btc
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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coin = gecko.Coin(symbol)
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df = coin.get_all_time_low(currency=currency)
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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="Coin Lows",
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export=bool(export),
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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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"atl",
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df,
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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_score(
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symbol: str, export: str = "", sheet_name: Optional[str] = None
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) -> None:
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"""Prints table showing different kind of scores for loaded coin. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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coin = gecko.Coin(symbol)
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df = coin.get_scores()
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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="Different Scores for Loaded Coin",
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export=bool(export),
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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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"score",
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df,
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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_bc(symbol: str, export: str = "", sheet_name: Optional[str] = None) -> None:
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"""Prints table showing urls to blockchain explorers. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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coin = gecko.Coin(symbol)
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df = coin.get_blockchain_explorers()
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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="Blockchain URLs",
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export=bool(export),
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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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"bc",
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df,
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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_market(
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symbol: str, export: str = "", sheet_name: Optional[str] = None
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) -> None:
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"""Prints table showing market data for loaded coin. [Source: CoinGecko]
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Parameters
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----------
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symbol : str
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Cryptocurrency
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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coin = gecko.Coin(symbol)
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df = coin.get_market_data()
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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="Market Data",
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export=bool(export),
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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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"market",
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df,
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sheet_name,
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)
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