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OpenBB/tests/openbb_terminal/stocks/quantitative_analysis/test_qa_controller.py
Henrique Joaquim 0ae89d6cc2 Style fixing: removing --ascend/--descend (#3395) 
* stocks candle to use reverse

* qa raw to use reverse

* etf candle to use reverse

* oss rossix to use reverse

* crypto/defi to use reverse

* crypto/disc to use reverse

* added test

* crypto/dd to use reverse

* crypto/onchain to use reverse

* crypto/ov to use revert

* forex candle to use revert

* conibase controller to use revert

* tests to use reverse

* covid to use reverse

* removing ascend

* removing ascend from econ

* more removing ascend

* more removing ascend

* more removing ascend

* fixing stuff on .md files

* fixed economy controller tests

* fixed screener tests

* fa controller to use comma separated when multiple inputs
2022-11-14 15:04:34 +00:00

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# IMPORTATION STANDARD
import os
from datetime import datetime
# IMPORTATION THIRDPARTY
import pandas as pd
import pytest
# IMPORTATION INTERNAL
from openbb_terminal.stocks.quantitative_analysis import qa_controller
from openbb_terminal import parent_classes
# pylint: disable=E1101
# pylint: disable=W0603
# pylint: disable=E1111
DF_STOCK = pd.DataFrame.from_dict(
data={
pd.Timestamp("2020-11-30 00:00:00"): {
"Open": 75.69999694824219,
"High": 76.08999633789062,
"Low": 75.41999816894531,
"Close": 75.75,
"Adj Close": 71.90919494628906,
"Volume": 5539100,
"date_id": 1,
"OC_High": 75.75,
"OC_Low": 75.69999694824219,
},
pd.Timestamp("2020-12-01 00:00:00"): {
"Open": 76.0199966430664,
"High": 77.12999725341797,
"Low": 75.69000244140625,
"Close": 77.02999877929688,
"Adj Close": 73.1242904663086,
"Volume": 6791700,
"date_id": 2,
"OC_High": 77.02999877929688,
"OC_Low": 76.0199966430664,
},
},
orient="index",
)
EMPTY_DF = pd.DataFrame()
QA_CONTROLLER = qa_controller.QaController(
ticker="MOCK_TICKER",
start=datetime.strptime("2021-12-21", "%Y-%m-%d"),
interval="MOCK_INTERVAL",
stock=DF_STOCK.copy(),
)
@pytest.fixture(scope="module")
def vcr_config():
return {
"filter_headers": [("User-Agent", None)],
"filter_query_parameters": [
("period1", "MOCK_PERIOD_1"),
("period2", "MOCK_PERIOD_2"),
("date", "MOCK_DATE"),
],
}
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"queue, expected",
[
(["load", "help"], ["help"]),
(["quit", "help"], ["help"]),
],
)
def test_menu_with_queue(expected, mocker, queue):
mocker.patch(
target=(
"openbb_terminal.stocks.quantitative_analysis.qa_controller."
"QaController.switch"
),
return_value=["quit"],
)
result_menu = qa_controller.QaController(
ticker="TSLA",
start=datetime.strptime("2021-12-21", "%Y-%m-%d"),
interval="1440min",
stock=DF_STOCK.copy(),
queue=queue,
).menu()
assert result_menu == expected
@pytest.mark.vcr(record_mode="none")
def test_menu_without_queue_completion(mocker):
# ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
mocker.patch(
target="openbb_terminal.feature_flags.USE_PROMPT_TOOLKIT",
new=True,
)
mocker.patch(
target="openbb_terminal.parent_classes.session",
)
mocker.patch(
target="openbb_terminal.parent_classes.session.prompt",
return_value="quit",
)
# DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
mocker.patch.object(
target=qa_controller.obbff,
attribute="USE_PROMPT_TOOLKIT",
new=True,
)
mocker.patch(
target="openbb_terminal.stocks.quantitative_analysis.qa_controller.session",
)
mocker.patch(
target="openbb_terminal.stocks.quantitative_analysis.qa_controller.session.prompt",
return_value="quit",
)
result_menu = qa_controller.QaController(
ticker="TSLA",
start=datetime.strptime("2021-12-21", "%Y-%m-%d"),
interval="1440min",
stock=DF_STOCK.copy(),
queue=None,
).menu()
assert result_menu == ["help"]
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"mock_input",
["help", "homee help", "home help", "mock"],
)
def test_menu_without_queue_sys_exit(mock_input, mocker):
# DISABLE AUTO-COMPLETION
mocker.patch.object(
target=qa_controller.obbff,
attribute="USE_PROMPT_TOOLKIT",
new=False,
)
mocker.patch(
target="openbb_terminal.stocks.quantitative_analysis.qa_controller.session",
return_value=None,
)
# MOCK USER INPUT
mocker.patch("builtins.input", return_value=mock_input)
# MOCK SWITCH
class SystemExitSideEffect:
def __init__(self):
self.first_call = True
def __call__(self, *args, **kwargs):
if self.first_call:
self.first_call = False
raise SystemExit()
return ["quit"]
mock_switch = mocker.Mock(side_effect=SystemExitSideEffect())
mocker.patch(
target=(
"openbb_terminal.stocks.quantitative_analysis.qa_controller."
"QaController.switch"
),
new=mock_switch,
)
result_menu = qa_controller.QaController(
ticker="TSLA",
start=datetime.strptime("2021-12-21", "%Y-%m-%d"),
interval="1440min",
stock=DF_STOCK.copy(),
queue=None,
).menu()
assert result_menu == ["help"]
@pytest.mark.vcr(record_mode="none")
@pytest.mark.record_stdout
def test_print_help():
controller = qa_controller.QaController(
ticker="",
start="",
interval="",
stock=DF_STOCK.copy(),
)
controller.print_help()
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"an_input, expected_queue",
[
("", []),
("/help", ["home", "help"]),
("help/help", ["help", "help"]),
("q", ["quit"]),
("h", []),
("r", ["quit", "quit", "reset", "stocks", "qa"]),
],
)
def test_switch(an_input, expected_queue):
controller = qa_controller.QaController(
ticker="",
start="",
interval="",
stock=DF_STOCK.copy(),
queue=None,
)
queue = controller.switch(an_input=an_input)
assert queue == expected_queue
@pytest.mark.vcr(record_mode="none")
def test_call_cls(mocker):
mocker.patch("os.system")
controller = qa_controller.QaController(
ticker="",
start="",
interval="",
stock=DF_STOCK.copy(),
)
controller.call_cls([])
assert controller.queue == []
os.system.assert_called_once_with("cls||clear")
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"func, queue, expected_queue",
[
(
"call_exit",
[],
[
"quit",
"quit",
"quit",
],
),
("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
("call_home", [], ["quit", "quit"]),
("call_help", [], []),
("call_quit", [], ["quit"]),
("call_quit", ["help"], ["quit", "help"]),
(
"call_reset",
[],
[
"quit",
"quit",
"reset",
"stocks",
"load MOCK_TICKER",
"qa",
"pick returns",
],
),
(
"call_reset",
["help"],
[
"quit",
"quit",
"reset",
"stocks",
"load MOCK_TICKER",
"qa",
"pick returns",
"help",
],
),
],
)
def test_call_func_expect_queue(expected_queue, queue, func):
controller = qa_controller.QaController(
ticker="MOCK_TICKER",
start="",
interval="",
stock=DF_STOCK.copy(),
queue=queue,
)
result = getattr(controller, func)([])
assert result is None
assert controller.queue == expected_queue
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"tested_func, other_args, mocked_func, called_args, called_kwargs",
[
(
"call_pick",
[QA_CONTROLLER.target],
"",
[],
dict(),
),
(
"call_raw",
["--limit=1", "--reverse", "--export=csv"],
"qa_view.display_raw",
[],
dict(
data=QA_CONTROLLER.stock[QA_CONTROLLER.target],
limit=1,
sortby="",
descend=True,
export="csv",
),
),
(
"call_summary",
["--export=csv"],
"qa_view.display_summary",
[],
dict(
data=QA_CONTROLLER.stock,
export="csv",
),
),
(
"call_hist",
["--bins=1"],
"qa_view.display_hist",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
bins=1,
),
),
(
"call_cdf",
["--export=csv"],
"qa_view.display_cdf",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
export="csv",
),
),
(
"call_bw",
["--yearly"],
"qa_view.display_bw",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
yearly=True,
),
),
(
"call_rolling",
["--window=1", "--export=csv"],
"rolling_view.display_mean_std",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
window=1,
export="csv",
),
),
(
"call_decompose",
["--multiplicative", "--export=csv"],
"qa_view.display_seasonal",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
multiplicative=True,
export="csv",
),
),
(
"call_cusum",
["--threshold=1", "--drift=2"],
"qa_view.display_cusum",
[],
dict(
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
threshold=1,
drift=2,
),
),
(
"call_acf",
["--lags=1"],
"qa_view.display_acf",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
lags=1,
),
),
(
"call_spread",
["--window=1", "--export=csv"],
"rolling_view.display_spread",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
window=1,
export="csv",
),
),
(
"call_quantile",
["--window=1", "--quantile=0.1", "--export=csv"],
"rolling_view.display_quantile",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
window=1,
quantile=0.1,
export="csv",
),
),
(
"call_skew",
["--window=1", "--export=csv"],
"rolling_view.display_skew",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
window=1,
export="csv",
),
),
(
"call_kurtosis",
["--window=1", "--export=csv"],
"rolling_view.display_kurtosis",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
window=1,
export="csv",
),
),
(
"call_normality",
["--export=csv"],
"qa_view.display_normality",
[],
dict(
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
export="csv",
),
),
(
"call_qqplot",
[],
"qa_view.display_qqplot",
[],
dict(
symbol=QA_CONTROLLER.ticker,
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
),
),
(
"call_unitroot",
["--fuller_reg=ctt", "--kps_reg=ct", "--export=csv"],
"qa_view.display_unitroot",
[],
dict(
data=QA_CONTROLLER.stock,
target=QA_CONTROLLER.target,
fuller_reg="ctt",
kpss_reg="ct",
export="csv",
),
),
(
"call_capm",
["--fuller_reg=ctt", "--kps_reg=ct", "--export=csv"],
"capm_view",
[QA_CONTROLLER.ticker],
dict(),
),
(
"call_beta",
["--ref=XLK"],
"beta_view",
[QA_CONTROLLER.ticker, "XLK"],
{"data": QA_CONTROLLER.stock},
),
],
)
# pylint: disable=W0613
def test_call_func(
tested_func, mocked_func, other_args, called_args, called_kwargs, mocker
):
if mocked_func:
mock = mocker.Mock()
mocker.patch(
"openbb_terminal.stocks.quantitative_analysis.qa_controller." + mocked_func,
new=mock,
)
getattr(QA_CONTROLLER, tested_func)(other_args=other_args)
mock.assert_called_once()
else:
getattr(QA_CONTROLLER, tested_func)(other_args=other_args)
# pylint: enable=W0613
@pytest.mark.vcr
def test_call_load(mocker):
yf_download = parent_classes.stocks_helper.yf.download
def mock_yf_download(*args, **kwargs):
kwargs["threads"] = False
return yf_download(*args, **kwargs)
mocker.patch("yfinance.download", side_effect=mock_yf_download)
controller = qa_controller.QaController(
ticker="MOCK_TICKER",
start="MOCK_DATE",
interval="MOCK_INTERVAL",
stock=DF_STOCK.copy(),
)
other_args = [
"TSLA",
"--start=2021-12-17",
"--source=YahooFinance",
]
old_stock = controller.stock
controller.call_load(other_args=other_args)
assert not controller.stock.empty
assert not controller.stock.equals(old_stock)
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"ticker, expected",
[
(None, []),
("MOCK_TICKER", ["stocks", "load MOCK_TICKER", "qa", "pick returns"]),
],
)
def test_custom_reset(expected, ticker):
controller = qa_controller.QaController(
ticker=None,
start="MOCK_DATE",
interval="MOCK_INTERVAL",
stock=DF_STOCK.copy(),
)
controller.ticker = ticker
result = controller.custom_reset()
assert result == expected
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