Files
OpenBB/openbb_terminal/economy/finnhub_model.py
montezdesousa cf9670303c Populate model functions with check_api_key decorator (#2755)
* fred decorator

* fmp decorator

* quandl decorator

* reddit decorator

* polygon decorator

* twitter decorator

* news decorator

* tradier decorator

* cmc decorator

* binance decorator

* finnhub decorator

* iex decorator

* sentiment investor

* walert decorator

* glassnode decorator

* coinglass decorator

* cryptopanic decorator

* bitquery decorator

* smartstake decorator

* messari decorator

* github decorator

* santiment decorator

* eodhd decorator

* import check_api_decorator

* fix some decorators

* fix some decorators

* remove some decorator

* decorator fixes

* black

* mypy

* mypy again

* mypy again

* pylint

* decorator

* too many line

* fix fred ycrv

* mypy

* rewrite events test

* another try

Co-authored-by: minhhoang1023 <40023817+minhhoang1023@users.noreply.github.com>
2022-10-12 17:36:49 +01:00

45 lines
1.2 KiB
Python

import logging
import pandas as pd
import requests
from openbb_terminal import config_terminal as cfg
from openbb_terminal.decorators import check_api_key, log_start_end
from openbb_terminal.rich_config import console
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
@check_api_key(["API_FINNHUB_KEY"])
def get_economy_calendar_events() -> pd.DataFrame:
"""Get economic calendar events
Returns
-------
pd.DataFrame
Get dataframe with economic calendar events
"""
response = requests.get(
f"https://finnhub.io/api/v1/calendar/economic?token={cfg.API_FINNHUB_KEY}"
)
df = pd.DataFrame()
if response.status_code == 200:
d_data = response.json()
if "economicCalendar" in d_data:
df = pd.DataFrame(d_data["economicCalendar"])
else:
console.print("No latest economy calendar events found\n")
elif response.status_code == 401:
console.print("[red]Invalid API Key[/red]\n")
elif response.status_code == 403:
console.print("[red]API Key not authorized for Premium Feature[/red]\n")
else:
console.print(f"Error in request: {response.json()['error']}", "\n")
return df