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Add parameters tests #107

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100 changes: 100 additions & 0 deletions lib/dl_api_lib/dl_api_lib_tests/db/data_api/result/test_parameters.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,100 @@
from __future__ import annotations

from http import HTTPStatus

import pytest

from dl_api_client.dsmaker.primitives import (
IntegerParameterValue,
RangeParameterValueConstraint,
)
from dl_api_client.dsmaker.shortcuts.dataset import (
add_formulas_to_dataset,
add_parameters_to_dataset,
)
from dl_api_client.dsmaker.shortcuts.result_data import get_data_rows
from dl_api_lib_tests.db.base import DefaultApiTestBase
from dl_constants.enums import UserDataType


class TestParameters(DefaultApiTestBase):
@pytest.mark.parametrize(
("multiplier", "expected_status_code"),
(
(None, HTTPStatus.OK),
(2, HTTPStatus.OK),
(5, HTTPStatus.OK),
(-1, HTTPStatus.BAD_REQUEST),
),
)
def test_parameter_in_formula(self, control_api, data_api, saved_dataset, multiplier, expected_status_code):
default_multiplier = 1
ds = add_parameters_to_dataset(
api_v1=control_api,
dataset_id=saved_dataset.id,
parameters={
"Multiplier": (
IntegerParameterValue(default_multiplier),
RangeParameterValueConstraint(min=IntegerParameterValue(default_multiplier)),
),
},
)

integer_field = next(field for field in saved_dataset.result_schema if field.data_type == UserDataType.integer)
ds = add_formulas_to_dataset(
api_v1=control_api,
dataset=ds,
formulas={
"Multiplied Field": f"[{integer_field.title}] * [Multiplier]",
},
)

result_resp = data_api.get_result(
dataset=ds,
fields=[
integer_field,
ds.find_field(title="Multiplier"),
ds.find_field(title="Multiplied Field"),
],
parameters=[
ds.find_field(title="Multiplier").parameter_value(multiplier),
],
fail_ok=True,
)
assert result_resp.status_code == expected_status_code, result_resp.json

if expected_status_code == HTTPStatus.OK:
data_rows = get_data_rows(result_resp)
assert data_rows
for row in data_rows:
assert int(row[1]) == (multiplier or default_multiplier)
assert int(row[0]) * int(row[1]) == int(row[2])

def test_parameter_no_constraint(self, control_api, data_api, dataset_id):
ds = add_parameters_to_dataset(
api_v1=control_api,
dataset_id=dataset_id,
parameters={
"Param": (IntegerParameterValue(0), None),
},
)
ds = add_formulas_to_dataset(
api_v1=control_api,
dataset=ds,
formulas={
"Value": "[Param]",
},
)

result_resp = data_api.get_result(
dataset=ds,
fields=[
ds.find_field(title="Value"),
],
parameters=[
ds.find_field(title="Param").parameter_value(1),
],
limit=1,
)
assert result_resp.status_code == HTTPStatus.OK, result_resp.json
assert int(get_data_rows(result_resp)[0][0]) == 1
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