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https://github.com/OpenBB-finance/OpenBB.git
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1f4c150dc2
* Replaces / with _ when loading forecast * Makes econometrics and forecast load function one common function * Remove examples from forecast and fix econometrics load --examples bug * Fixed some tests * Expands error handling, fixes SDK routes * Added error handling Co-authored-by: James Maslek <jmaslek11@gmail.com>
58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
from typing import Tuple
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import pandas as pd
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import pytest
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from openbb_terminal.forecast import forecast_model as fm
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from openbb_terminal.common import common_model
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from tests.openbb_terminal.forecast import conftest
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@pytest.mark.parametrize("file_type", ["csv", "xlsx", "swp", "juan"])
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def test_load(file_type):
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path = conftest.create_path("forecast", "data", f"TSLA.{file_type}")
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if not file_type == "xlsx":
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common_model.load("TSLA", file_type, {"TSLA": path})
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else:
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with pytest.raises(ValueError):
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common_model.load("TSLA", file_type, {"TSLA": path})
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@pytest.mark.parametrize("name", ["data", None])
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def test_get_options(tsla_csv, name):
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val = fm.get_options({"data": tsla_csv}, name)
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assert val["data"].iloc[0]["option"] == "data.date"
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@pytest.mark.parametrize(
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"fill, drop",
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[
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(f"{x}fill", f"{y}drop")
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for x in ["r", "c", "rb", "cb", "rf", "cf"]
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for y in ["r", "c"]
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]
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+ [("", "")],
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)
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def test_clean(tsla_csv, fill, drop):
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val = fm.clean(tsla_csv, fill, drop, 4)
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assert isinstance(val, Tuple)
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@pytest.mark.parametrize(
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"command", ["ema", "sto", "rsi", "roc", "momentum", "delta", "atr", "signal"]
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)
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def test_add_feature_engineering(tsla_csv, command):
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val = getattr(fm, f"add_{command}")(tsla_csv)
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if command == "atr":
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assert isinstance(val, Tuple)
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else:
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assert isinstance(val, pd.DataFrame)
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def test_add_sto_bad(capsys):
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fm.add_sto(pd.DataFrame())
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captured = capsys.readouterr()
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assert "Missing" in captured.out
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def test_add_atr_bad():
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fm.add_atr(pd.DataFrame())
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