def test_patch_resource(self, store: FHIRStore, test_patient):
"""patch() finds a document in the database"""
store.create(test_patient)
store.patch("Patient", test_patient["id"], {"gender": "other"})
assert store.read("Patient", test_patient["id"]) == {
**test_patient, "gender": "other"
}
data["id"] = str(uuid4())
start = timer()
res = store.create(data)
end = timer()
stats[example] = end - start
inserted.append(res)
values = stats.values()
print(f"insertions per second (on average): {1/statistics.mean(values):.2f}")
print(f"average: {statistics.mean(values)*1000:.2f} milliseconds")
print(f"median: {statistics.median(values)*1000:.2f} milliseconds")
print(f"min: {min(values)*1000:.2f} milliseconds")
print(f"max: {max(values)*1000:.2f} milliseconds")
print(f"spread: {statistics.variance(values)}")
examples = tqdm(inserted, desc="Running read benchmark")
stats = {}
for doc in examples:
start = timer()
store.read(doc["resourceType"], doc["id"])
end = timer()
stats[doc["id"]] = end - start
values = stats.values()
print(f"reads per second (on average): {1/statistics.mean(values):.2f}")
print(f"average: {statistics.mean(values)*1000:.2f} milliseconds")
print(f"median: {statistics.median(values)*1000:.2f} milliseconds")
print(f"min: {min(values)*1000:.2f} milliseconds")
print(f"max: {max(values)*1000:.2f} milliseconds")
print(f"spread: {statistics.variance(values)}")
def test_read_resource_not_found(self, store: FHIRStore, test_patient):
"""read() returns None when no matching document was found"""
with raises(NotFoundError):
store.read("Patient", test_patient["id"])
def test_read_resource(self, store: FHIRStore, test_patient):
"""read() finds a document in the database"""
store.create(test_patient)
result = store.read("Patient", test_patient["id"])
assert result == test_patient
def test_read_bad_resource_type(self, store: FHIRStore):
"""read() raises if resource type is unknown"""
with raises(NotFoundError,
match='unsupported FHIR resource: "unknown"'):
store.read("unknown", "864321")