OpenBB/tests/openbb_terminal/forecast/conftest.py

import os

import pandas as pd
import pytest
from _pytest.nodes import Node


def create_path(*path: str) -> str:
    base_path = os.path.dirname(os.path.abspath(__file__))
    in_between = os.path.dirname(base_path)
    default_path = os.path.join(in_between, *path)
    return default_path


@pytest.fixture
def tsla_csv():
    path = create_path("forecast", "data", "TSLA.csv")
    df = pd.read_csv(path)
    df.columns = [x.lower() for x in df.columns]
    df["date"] = df["date"].apply(lambda x: pd.to_datetime(x))
    return df


def test_model(model, data, *args, **kwargs):
    try:
        _, _, predict, MAPE, _ = model(data, *args, **kwargs)
    except ValueError:
        _, _, predict, MAPE, _, _ = model(data, *args, **kwargs)
    try:
        predict_list = predict.pd_dataframe()["close"].tolist()
    except (AssertionError, KeyError):
        predict_list = predict.quantile_df()
        predict_list = predict_list[predict_list.columns[0]].tolist()
    return predict_list, MAPE


# make same fuction but for anomaly detection model
def test_anom_model(model, data, *args, **kwargs):
    ticker_series, anom_score, binary_anom = model(data, *args, **kwargs)
    return ticker_series, anom_score, binary_anom


def pytest_runtest_setup(item: Node):
    if not item.config.getoption("--prediction"):
        pytest.skip(msg="Runs only with option : --prediction")