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newsapi_model.py
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newsapi_model.py
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""" News Model """
__docformat__ = "numpy"
import logging
from datetime import datetime, timedelta
from typing import Optional
import pandas as pd
from openbb_terminal.core.session.current_user import get_current_user
from openbb_terminal.decorators import check_api_key, log_start_end
from openbb_terminal.helper_funcs import request
from openbb_terminal.rich_config import console
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
@check_api_key(["API_NEWS_TOKEN"])
def get_news(
query: str,
limit: int = 10,
start_date: Optional[str] = None,
show_newest: bool = True,
sources: str = "",
) -> pd.DataFrame:
"""Get news for a given term. [Source: NewsAPI]
Parameters
----------
query : str
term to search on the news articles
start_date: Optional[str]
date to start searching articles from formatted YYYY-MM-DD
show_newest: bool
flag to show newest articles first
sources: str
sources to exclusively show news from (comma separated)
Returns
-------
pd.DataFrame
DataFrame with columns Date, Description, URL
"""
if start_date is None:
start_date = (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%d")
link = (
f"https://newsapi.org/v2/everything?q={query}&from={start_date}&sortBy=publishedAt"
"&language=en"
)
if sources:
if "," in sources:
sources = ".com,".join(sources.split(","))
link += f"&domains={sources}.com"
link += f"&apiKey={get_current_user().credentials.API_NEWS_TOKEN}"
response = request(link)
articles = {}
if response.status_code == 200:
response_json = response.json()
articles = (
response_json["articles"]
if show_newest
else response_json["articles"][::-1]
)
elif response.status_code == 426:
console.print(f"Error in request: {response.json()['message']}", "\n")
elif response.status_code == 401:
console.print("[red]Invalid API Key[/red]\n")
elif response.status_code == 429:
console.print("[red]Exceeded number of calls per minute[/red]\n")
else:
console.print(f"Error in request: {response.json()['message']}", "\n")
if articles:
df = pd.DataFrame(articles)
df["publishedAt"] = pd.to_datetime(df["publishedAt"])
df["publishedAt"].apply(lambda x: x.strftime("%Y-%m-%d %H:%M:%S"))
df = df[["publishedAt", "description", "url"]]
df.columns = ["Date", "Description", "URL"]
df = df[:limit]
return df
return pd.DataFrame()