Files
OpenBB/openbb_platform/extensions/qa/integration/test_qa_python.py
Henrique Joaquim 04d705e43e Feature/int tests data processing (#5526)
* adjustments to the generator

* econometrics

* qa

* ta

* improving api tests

* adjustments to python tests

* test ci

* Revert "test ci"

This reverts commit 9dce362920.

* remove changes from package

* removing packaged stuff
2023-10-04 14:56:43 +01:00

270 lines
6.2 KiB
Python

"""Test qa extension."""
import random
import pytest
from openbb_core.app.model.obbject import OBBject
@pytest.fixture(scope="session")
def obb(pytestconfig):
"""Fixture to setup obb."""
if pytestconfig.getoption("markexpr") != "not integration":
import openbb
return openbb.obb
data = {}
def get_stocks_data():
import openbb # pylint:disable=import-outside-toplevel
if "stocks_data" in data:
return data["stocks_data"]
symbol = random.choice(["AAPL", "NVDA", "MSFT", "TSLA", "AMZN", "V"]) # noqa: S311
provider = random.choice(["fmp", "intrinio", "polygon", "yfinance"]) # noqa: S311
data["stocks_data"] = openbb.obb.stocks.load(
symbol=symbol, provider=provider
).results
return data["stocks_data"]
def get_crypto_data():
import openbb # pylint:disable=import-outside-toplevel
if "crypto_data" in data:
return data["crypto_data"]
# TODO : add more crypto providers and symbols
symbol = random.choice(["BTC"]) # noqa: S311
provider = random.choice(["fmp"]) # noqa: S311
data["crypto_data"] = openbb.obb.crypto.load(
symbol=symbol, provider=provider
).results
return data["crypto_data"]
@pytest.mark.parametrize(
"params",
[
({"data": get_stocks_data(), "target": "close"}),
({"data": get_crypto_data(), "target": "high"}),
],
)
@pytest.mark.integration
def test_qa_normality(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.normality(**params)
assert result
assert isinstance(result, OBBject)
@pytest.mark.parametrize(
"params",
[
({"data": get_stocks_data(), "target": "close"}),
({"data": get_crypto_data(), "target": "high"}),
],
)
@pytest.mark.integration
def test_qa_capm(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.capm(**params)
assert result
assert isinstance(result, OBBject)
@pytest.mark.parametrize(
"params",
[
(
{
"data": get_stocks_data(),
"target": "close",
"threshold_start": "",
"threshold_end": "",
}
),
(
{
"data": get_crypto_data(),
"target": "high",
"threshold_start": "0.1",
"threshold_end": "1.6",
}
),
],
)
@pytest.mark.integration
def test_qa_om(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.om(**params)
assert result
assert isinstance(result, OBBject)
@pytest.mark.parametrize(
"params",
[
({"data": get_stocks_data(), "target": "close", "window": "5"}),
({"data": get_crypto_data(), "target": "high", "window": "10"}),
],
)
@pytest.mark.integration
def test_qa_kurtosis(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.kurtosis(**params)
assert result
assert isinstance(result, OBBject)
assert len(result.results) > 0
@pytest.mark.parametrize(
"params",
[
(
{
"data": get_stocks_data(),
"target": "close",
"fuller_reg": "c",
"kpss_reg": "ct",
}
),
(
{
"data": get_stocks_data(),
"target": "high",
"fuller_reg": "ct",
"kpss_reg": "c",
}
),
],
)
@pytest.mark.integration
def test_qa_unitroot(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.unitroot(**params)
assert result
assert isinstance(result, OBBject)
@pytest.mark.parametrize(
"params",
[
({"data": get_stocks_data(), "target": "close", "rfr": "", "window": ""}),
({"data": get_crypto_data(), "target": "high", "rfr": "0.5", "window": "250"}),
],
)
@pytest.mark.integration
def test_qa_sh(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.sh(**params)
assert result
assert isinstance(result, OBBject)
@pytest.mark.parametrize(
"params",
[
(
{
"data": get_stocks_data(),
"target": "close",
"target_return": "",
"window": "",
"adjusted": "",
}
),
(
{
"data": get_crypto_data(),
"target": "close",
"target_return": "0.5",
"window": "275",
"adjusted": "true",
}
),
],
)
@pytest.mark.integration
def test_qa_so(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.so(**params)
assert result
assert isinstance(result, OBBject)
@pytest.mark.parametrize(
"params",
[
({"data": get_stocks_data(), "target": "close", "window": "220"}),
],
)
@pytest.mark.integration
def test_qa_skew(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.skew(**params)
assert result
assert isinstance(result, OBBject)
assert len(result.results) > 0
@pytest.mark.parametrize(
"params",
[
(
{
"data": get_stocks_data(),
"target": "close",
"window": "10",
"quantile_pct": "",
}
),
(
{
"data": get_crypto_data(),
"target": "high",
"window": "50",
"quantile_pct": "0.6",
}
),
],
)
@pytest.mark.integration
def test_qa_quantile(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.quantile(**params)
assert result
assert isinstance(result, OBBject)
assert len(result.results) > 0
@pytest.mark.parametrize(
"params",
[
({"data": get_stocks_data(), "target": "close"}),
({"data": get_crypto_data(), "target": "high"}),
],
)
@pytest.mark.integration
def test_qa_summary(params, obb):
params = {p: v for p, v in params.items() if v}
result = obb.qa.summary(**params)
assert result
assert isinstance(result, OBBject)