from datetime import date
from ehrql import Dataset
from ehrql.tables import emis
def test_patients_age_on(in_memory_engine):
in_memory_engine.populate(
{
emis.patients: [
dict(patient_id=1, date_of_birth=date(1980, 1, 1)),
dict(patient_id=2, date_of_birth=date(1800, 1, 1)),
dict(patient_id=3, date_of_birth=date(2010, 1, 1)),
dict(patient_id=4, date_of_birth=date(2010, 1, 2)),
]
}
)
dataset = Dataset()
dataset.define_population(emis.patients.exists_for_patient())
dataset.age_2010 = emis.patients.age_on("2010-01-01")
results = in_memory_engine.extract(dataset)
assert results == [
{"patient_id": 1, "age_2010": 30},
{"patient_id": 2, "age_2010": 210},
{"patient_id": 3, "age_2010": 0},
{"patient_id": 4, "age_2010": -1},
]
def test_practice_registrations_spanning(
in_memory_engine,
):
in_memory_engine.populate(
# Registrations before time period
{
emis.patients: [
dict(
patient_id="1",
registration_start_date=date(2000, 1, 1),
registration_end_date=date(2005, 1, 1),
),
]
},
# Registration from before time period, and with NULL end date
{
emis.patients: [
dict(
patient_id="2",
registration_start_date=date(2000, 1, 1),
registration_end_date=None,
),
]
},
# Registration with end date after time period ends
{
emis.patients: [
dict(
patient_id="3",
registration_start_date=date(2000, 1, 1),
registration_end_date=date(2020, 1, 1),
),
]
},
# Registration with start date after time period starts
{
emis.patients: [
dict(
patient_id="4",
registration_start_date=date(2010, 2, 1),
registration_end_date=date(2020, 1, 1),
),
]
},
# Registration with start date and end date inside time period
{
emis.patients: [
dict(
patient_id="5",
registration_start_date=date(2010, 2, 1),
registration_end_date=date(2010, 12, 1),
),
]
},
)
dataset = Dataset()
dataset.define_population(
emis.patients.has_practice_registration_spanning("2010-01-01", "2011-01-01")
)
results = in_memory_engine.extract(dataset)
assert results == [
{"patient_id": "2"},
{"patient_id": "3"},
]