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import os
from tabulate import tabulate
from gamestonk_terminal.economy import finnhub_model
from gamestonk_terminal.helper_funcs import export_data
def economy_calendar_events(country: str, num: int, impact: str, export: str):
"""Output economy calendar impact events. [Source: Finnhub]
Parameters
----------
country : str
Country from where to get economy calendar impact events
num : int
Number economy calendar impact events to display
impact : str
Impact of the economy event
export : str
Export dataframe data to csv,json,xlsx file
"""
df_events = finnhub_model.get_economy_calendar_events()
if df_events.empty:
print("No latest economy calendar events found\n")
return
df_econ_calendar = df_events[df_events["country"] == country].sort_values(
"time", ascending=True
)
if df_econ_calendar.empty:
print("No latest economy calendar events found in the specified country\n")
return
if impact != "all":
df_econ_calendar = df_econ_calendar[df_econ_calendar["impact"] == impact]
if df_econ_calendar.empty:
print(
"No latet economy calendar events found in the specified country with this impact\n"
)
return
df_econ_calendar = df_econ_calendar.fillna("").head(n=num)
d_econ_calendar_map = {
"actual": "Actual release",
"prev": "Previous release",
"country": "Country",
"unit": "Unit",
"estimate": "Estimate",
"event": "Event",
"impact": "Impact Level",
"time": "Release time",
}
df_econ_calendar = df_econ_calendar[
["time", "event", "impact", "prev", "estimate", "actual", "unit"]
].rename(columns=d_econ_calendar_map)
df_econ_calendar.replace("", float("NaN"), inplace=True)
df_econ_calendar.dropna(how="all", axis=1, inplace=True)
print(
tabulate(
df_econ_calendar,
headers=df_econ_calendar.columns,
showindex=False,
floatfmt=".2f",
tablefmt="fancy_grid",
)
)
print("")
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"events",
df_econ_calendar,
)
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