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5bc7bc070e
* Started new tests * Added special function * Improved dict * Finished new test * Got bad functions to 75 * Got bad func to 73 * Bad func down to 60 * Bad func down to 50 * Bad func down to 35 * Got bad func to 30 * No more bad functions * Added tests * Added fix * Fixed some tests * Fixed some tests * Fixed some tests * Fixed some tests * Added tests to CI * Fixed CI tests * Fixed CI tests * Imrproved CI tests * Fixed reports * Fixed reports * Added stuff * Removed CI * Fixed * Fixed some typing' Co-authored-by: minhhoang1023 <40023817+minhhoang1023@users.noreply.github.com>
77 lines
2.0 KiB
Python
77 lines
2.0 KiB
Python
"""Rekt view"""
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import logging
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import os
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from openbb_terminal.cryptocurrency.overview import rekt_model
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from openbb_terminal.decorators import log_start_end
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from openbb_terminal.helper_funcs import (
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export_data,
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lambda_long_number_format,
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print_rich_table,
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)
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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_crypto_hacks(
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limit: int = 15,
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sortby: str = "Platform",
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ascend: bool = False,
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slug: str = "polyntwork-rekt",
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export: str = "",
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) -> None:
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"""Display list of major crypto-related hacks. If slug is passed
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individual crypto hack is displayed instead of list of crypto hacks
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[Source: https://rekt.news]
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Parameters
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----------
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slug: str
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Crypto hack slug to check (e.g., polynetwork-rekt)
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limit: int
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Number of hacks to search
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sortby: str
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Key by which to sort data {Platform,Date,Amount [$],Audit,Slug,URL}
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ascend: bool
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Flag to sort data ascending
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export : str
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Export dataframe data to csv,json,xlsx file
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"""
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if slug:
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text = rekt_model.get_crypto_hack(slug)
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if text:
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console.print(text)
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export_data(
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export,
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os.path.dirname(os.path.abspath(__file__)),
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"ch",
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text,
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)
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else:
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df = rekt_model.get_crypto_hacks(sortby, ascend)
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if df.empty:
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console.print("\nError in rekt request\n")
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else:
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df["Amount [$]"] = df["Amount [$]"].apply(
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lambda x: lambda_long_number_format(x)
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)
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df["Date"] = df["Date"].dt.date
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print_rich_table(
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df.head(limit),
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headers=list(df.columns),
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floatfmt=".1f",
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show_index=False,
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title="Major Crypto Hacks",
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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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"ch",
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df,
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)
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