def test_dashboard_data_has_correct_ods_given_two_practices():
sla_metrics = [
build_practice_sla_metrics(ods="A12345"),
build_practice_sla_metrics(ods="Z56789"),
]
expected_ods = {"A12345", "Z56789"}
actual = construct_service_dashboard_data(sla_metrics,
year=A_YEAR,
month=A_MONTH)
_assert_has_ods_codes(actual.practices, expected_ods)
def test_dashboard_data_has_correct_requestor_sla_metrics_given_two_practices(
):
sla_metrics = [
build_practice_sla_metrics(ods="A12345",
within_3_days=1,
within_8_days=0,
beyond_8_days=2),
build_practice_sla_metrics(ods="Z98765",
within_3_days=0,
within_8_days=5,
beyond_8_days=2),
]
expected = ServiceDashboardData(
generated_on=datetime(year=2020, month=1, day=2, hour=23, second=42),
practices=[
PracticeSummary(
ods="A12345",
metrics=[
MonthlyMetrics(
year=2020,
month=1,
requestor=RequestorMetrics(
time_to_integrate_sla=TimeToIntegrateSla(
within_3_days=1,
within_8_days=0,
beyond_8_days=2)),
)
],
),
PracticeSummary(
ods="Z98765",
metrics=[
MonthlyMetrics(
year=2020,
month=1,
requestor=RequestorMetrics(
time_to_integrate_sla=TimeToIntegrateSla(
within_3_days=0,
within_8_days=5,
beyond_8_days=2)),
)
],
),
],
)
actual = construct_service_dashboard_data(sla_metrics, 2020, 1)
assert actual == expected
def test_dashboard_data_has_correct_month_given_a_single_practice():
sla_metrics = [build_practice_sla_metrics(ods="A12345")]
expected_month = 11
actual = construct_service_dashboard_data(sla_metrics, A_YEAR, 11)
assert actual.practices[0].metrics[0].month == expected_month
def test_dashboard_data_has_correct_year_given_a_single_practice():
sla_metrics = [build_practice_sla_metrics(ods="A12345")]
expected_year = 2019
actual = construct_service_dashboard_data(sla_metrics, 2019, A_MONTH)
assert actual.practices[0].metrics[0].year == expected_year
def test_dashboard_data_has_correct_ods_given_a_single_practice():
sla_metrics = [build_practice_sla_metrics(ods="A12345")]
expected_ods = "A12345"
actual = construct_service_dashboard_data(sla_metrics, A_YEAR, A_MONTH)
assert actual.practices[0].ods == expected_ods
def test_dashboard_data_has_correct_requestor_sla_metrics_given_single_practice(
):
sla_metrics = [
build_practice_sla_metrics(within_3_days=1,
within_8_days=0,
beyond_8_days=2)
]
expected_requestor_sla_metrics = TimeToIntegrateSla(within_3_days=1,
within_8_days=0,
beyond_8_days=2)
actual = construct_service_dashboard_data(sla_metrics, A_YEAR, A_MONTH)
time_to_integrate_sla = actual.practices[0].metrics[
0].requestor.time_to_integrate_sla
assert time_to_integrate_sla == expected_requestor_sla_metrics
import pytest
from gp2gp.service.transformers import filter_practices
from tests.builders.service import build_practice_sla_metrics
PRACTICE_A = build_practice_sla_metrics(ods="A12345")
ODS_CODE_A = "A12345"
PRACTICE_B = build_practice_sla_metrics(ods="X67890")
ODS_CODE_B = "X67890"
ODS_CODE_C = "P54321"
@pytest.mark.parametrize(
["practices", "ods_codes", "expected"],
[
([PRACTICE_A], {ODS_CODE_A}, [PRACTICE_A]),
([PRACTICE_A], {ODS_CODE_B}, []),
([PRACTICE_A, PRACTICE_B], {ODS_CODE_A}, [PRACTICE_A]),
([PRACTICE_A, PRACTICE_B], {ODS_CODE_A, ODS_CODE_B
}, [PRACTICE_A, PRACTICE_B]),
([PRACTICE_A, PRACTICE_B], {ODS_CODE_A, ODS_CODE_C}, [PRACTICE_A]),
],
)
def test_filter_practices(practices, ods_codes, expected):
actual = filter_practices(practices, ods_codes)
assert list(actual) == expected