def test_load_predicate_constant_expands_to_several_nested():
ppm = tuple(['saxophone', 'jazz saxophone'])
constants = Constants(primary_performing_medium=ppm)
ctx = RequirementContext()
input_data = {'name': {'$in': ['piano', '$primary-performing-medium']}}
c = load_predicate(input_data, c=constants, mode=DataType.Course, ctx=ctx)
assert isinstance(c, Predicate)
assert list(c.expected) == ['piano', 'saxophone', 'jazz saxophone']
def test_su_during_covid_different_clause() -> None:
ctx = RequirementContext()
clause = load_predicate({"grade": {"$gte": "B"}}, c=c, mode=mode, ctx=ctx)
assert isinstance(clause, Predicate)
course = course_from_str(
'CSCI 251',
grade_code='S',
grade_option=GradeOption.SU,
su_grade_code='C',
year=2019,
term='3',
)
assert apply_predicate__grade(course, clause) is False
def test_graded_during_covid() -> None:
ctx = RequirementContext()
clause = load_predicate({"grade": {
"$gte": "C",
"$during_covid": "C-"
}},
c=c,
mode=mode,
ctx=ctx)
assert isinstance(clause, Predicate)
course = course_from_str(
'CSCI 251',
grade_code='C',
grade_option=GradeOption.Grade,
year=2019,
term='3',
)
assert apply_predicate__grade(course, clause) is True
def test_clauses_in(caplog):
caplog.set_level(logging.DEBUG)
c = Constants(matriculation_year=2000)
ctx = RequirementContext()
course = course_from_str(s="CSCI 296")
values = tuple([296, 298, 396, 398])
x = load_predicate({"number": {
"$in": values
}},
c=c,
ctx=ctx,
mode=DataType.Course)
expected_single = Predicate.from_args(key="number",
expected=values,
original=values,
operator=Operator.In)
assert x == expected_single
assert x.apply(course) is True
def test_clauses(caplog):
caplog.set_level(logging.DEBUG)
c = Constants(matriculation_year=2000)
ctx = RequirementContext()
x = load_predicate({"attributes": {
"$eq": "csci_elective"
}},
c=c,
ctx=ctx,
mode=DataType.Course)
expected_single = Predicate.from_args(key="attributes",
expected="csci_elective",
original="csci_elective",
operator=Operator.EqualTo)
assert x == expected_single
crs = course_from_str(s="CSCI 121", attributes=["csci_elective"])
assert x.apply(crs) is True
