def test_conditional_update_resource(test_dataset, test_fhir_store,
test_patient, capsys):
# The conditional method tests use an Observation, so we have to create an
# Encounter from test_patient and then create an Observation from the
# Encounter.
encounter_response = fhir_resources.create_encounter(
service_account_json,
base_url,
project_id,
cloud_region,
dataset_id,
fhir_store_id,
test_patient,
)
encounter_resource_id = encounter_response.json()["id"]
observation_response = fhir_resources.create_observation(
service_account_json,
base_url,
project_id,
cloud_region,
dataset_id,
fhir_store_id,
test_patient,
encounter_resource_id,
)
observation_resource_id = observation_response.json()["id"]
fhir_resources.conditional_update_resource(
service_account_json,
base_url,
project_id,
cloud_region,
dataset_id,
fhir_store_id,
test_patient,
encounter_resource_id,
)
# In accordance with the FHIR spec, if conditional patch or conditional update
# can only be applied to one resource at a time. If the search criteria
# identify more than one match, the request returns a 412 Precondition Failed
# error. Every time the tests create an Observation resource, the resource is
# identical, therefore you have to delete each Observation after it's created
# or else conditional patch/update will detect more than one Observation
# that matches.
fhir_resources.delete_resource(service_account_json, base_url, project_id,
cloud_region, dataset_id, fhir_store_id,
'Observation', observation_resource_id)
out, _ = capsys.readouterr()
assert "Conditionally updated" in out
def create_encounter():
encounter_response = fhir_resources.create_encounter(
service_account_json,
base_url,
project_id,
cloud_region,
dataset_id,
fhir_store_id,
test_patient,
)
return encounter_response.json()["id"]
def test_conditional_delete_resource(test_dataset, test_fhir_store,
test_patient, capsys):
# The conditional method tests use an Observation, so we have to create an
# Encounter from test_patient and then create an Observation from the
# Encounter.
encounter_response = fhir_resources.create_encounter(
service_account_json,
base_url,
project_id,
cloud_region,
dataset_id,
fhir_store_id,
test_patient,
)
encounter_resource_id = encounter_response.json()["id"]
fhir_resources.create_observation(
service_account_json,
base_url,
project_id,
cloud_region,
dataset_id,
fhir_store_id,
test_patient,
encounter_resource_id,
)
fhir_resources.conditional_delete_resource(
service_account_json,
base_url,
project_id,
cloud_region,
dataset_id,
fhir_store_id,
)
out, _ = capsys.readouterr()
print(out)
assert "Conditionally deleted" in out
