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https://github.com/OpenBB-finance/OpenBB.git
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18204202ac
* Remove stocks/disc/cnews command from terminal and sdk * Remove disc/cnews tests and test data * Remove cnews from default sources, translations and intros * Remove old test data files that are not used anymore * Add pydocstyle ignore statement to pyproject toml * Fix print help in stocks/disc controller test
131 lines
3.4 KiB
Python
131 lines
3.4 KiB
Python
""" Seeking Alpha View """
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__docformat__ = "numpy"
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import logging
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import os
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from datetime import date
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from typing import Optional
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import pandas as pd
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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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from openbb_terminal.stocks.discovery import seeking_alpha_model
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logger = logging.getLogger(__name__)
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@log_start_end(log=logger)
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def upcoming_earning_release_dates(
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limit: int = 5,
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start_date: date = date.today(),
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export: str = "",
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sheet_name: Optional[str] = None,
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):
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"""Displays upcoming earnings release dates
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Parameters
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----------
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num_pages: int
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Number of pages to scrape, each page is one day
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limit: int
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Number of upcoming earnings release dates
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start_date: Optional[date]
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The day to start looking at earnings releases from
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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_earnings = seeking_alpha_model.get_next_earnings(limit, start_date)
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if df_earnings.empty:
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console.print("No upcoming earnings release dates found")
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return
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print_rich_table(
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df_earnings,
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show_index=False,
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headers=df_earnings.columns,
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title="Upcoming Earnings Releases",
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export=bool(export),
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)
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if export:
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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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"upcoming",
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df_earnings,
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sheet_name,
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)
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@log_start_end(log=logger)
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def news(
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article_id: int = -1,
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limit: int = 5,
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export: str = "",
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sheet_name: Optional[str] = None,
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):
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"""Prints the latest news article list. [Source: Seeking Alpha]
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Parameters
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----------
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article_id: int
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Article ID. If -1, none is selected
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limit: int
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Number of articles to display. Only used if article_id is -1.
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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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# User wants to see all latest news
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if article_id == -1:
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articles = seeking_alpha_model.get_trending_list(limit)
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df_articles = pd.DataFrame(articles)
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df_articles["publishedAt"] = pd.to_datetime(df_articles["publishedAt"])
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df_news = pd.DataFrame(
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df_articles, columns=["publishedAt", "id", "title", "url"]
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)
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# We look for a date name in the column to assume its a date on frontend side for filtering etc
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df_news.rename(columns={"publishedAt": "publishedAtDate"}, inplace=True)
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df_news = df_news.drop("id", axis=1)
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print_rich_table(
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df_news,
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show_index=False,
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export=bool(export),
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limit=limit,
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)
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# User wants to access specific article
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else:
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article = seeking_alpha_model.get_article_data(article_id)
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if export:
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df_articles = pd.DataFrame(article)
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console.print(
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article["publishedAt"][: article["publishedAt"].rfind(":") - 3].replace(
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"T", " "
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),
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" ",
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article["title"],
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)
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console.print(article["url"])
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console.print("\n")
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console.print(article["content"])
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if export:
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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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"trending",
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df_articles,
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sheet_name,
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)
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