Merge pull request #355 from bento-platform/fixes/remove-test

remove test

chord_metadata_service/patients/tests/test_api.py

@@ -1,6 +1,5 @@
 from copy import deepcopy
 import json
-import uuid
 import csv
 import io
 from django.conf import settings
@@ -13,12 +12,6 @@
 from chord_metadata_service.restapi.utils import iso_duration_to_years
 from chord_metadata_service.phenopackets.tests import constants as ph_c
 from chord_metadata_service.phenopackets import models as ph_m
-from chord_metadata_service.phenopackets.models import Biosample, Procedure, MetaData, Phenopacket
-from chord_metadata_service.experiments.models import Experiment, ExperimentResult, Instrument
-from chord_metadata_service.experiments.tests import constants as exp_c
-from chord_metadata_service.chord.models import Project, Dataset, TableOwnership, Table
-from chord_metadata_service.chord.data_types import DATA_TYPE_EXPERIMENT
-from chord_metadata_service.chord.tests import constants as chord_c
 
 from . import constants as c
 
@@ -657,59 +650,3 @@ def test_public_filtering_age_range_min_and_max_no_config(self):
         self.assertIsInstance(response_obj, dict)
         self.assertIsInstance(response_obj, dict)
         self.assertEqual(response_obj, settings.NO_PUBLIC_DATA_AVAILABLE)
-
-
-class PublicFilteringBiosampleAndExperimentStatsTest(APITestCase):
-    """ Test for stats returned by api/public GET """
-
-    response_threshold = 0
-    num_individuals_without_phenopackets = 30
-
-    def setUp(self) -> None:
-        self.project = Project.objects.create(**chord_c.VALID_PROJECT_1)
-        self.dataset = Dataset.objects.create(**chord_c.valid_dataset_1(self.project))
-        to, tr = chord_c.valid_table_1(self.dataset.identifier, model_compatible=True)
-        TableOwnership.objects.create(**to)
-        self.table = Table.objects.create(**tr)
-
-        # plain individuals from other tests above, no phenopackets
-        self.individuals = [c.generate_valid_individual() for _ in range(self.num_individuals_without_phenopackets)]
-        for individual in self.individuals:
-            Individual.objects.create(**individual)
-
-        # ..... but add someone with 2 biosamples and one experiment
-        self.individual, _ = Individual.objects.get_or_create(
-            id='patient:1', sex='FEMALE', age={"age": "P25Y3M2D"})
-        self.procedure = Procedure.objects.create(**ph_c.VALID_PROCEDURE_1)
-        self.biosample_1 = Biosample.objects.create(**ph_c.valid_biosample_1(self.individual, self.procedure))
-        self.biosample_2 = Biosample.objects.create(**ph_c.valid_biosample_2(None, self.procedure))
-        self.meta_data = MetaData.objects.create(**ph_c.VALID_META_DATA_1)
-        self.phenopacket = Phenopacket.objects.create(
-            id="phenopacket_id:1",
-            subject=self.individual,
-            meta_data=self.meta_data,
-            table=self.table
-        )
-        self.phenopacket.biosamples.set([self.biosample_1, self.biosample_2])
-
-        # table for experiments metadata
-        to_exp = TableOwnership.objects.create(table_id=uuid.uuid4(), service_id=uuid.uuid4(),
-                                               service_artifact="experiments", dataset=self.dataset)
-        self.t_exp = Table.objects.create(ownership_record=to_exp, name="Table 2", data_type=DATA_TYPE_EXPERIMENT)
-
-        # add Experiments metadata and link to self.biosample_1
-        self.instrument = Instrument.objects.create(**exp_c.valid_instrument())
-        self.experiment_result = ExperimentResult.objects.create(**exp_c.valid_experiment_result())
-        self.experiment = Experiment.objects.create(**exp_c.valid_experiment(
-            biosample=self.biosample_1, instrument=self.instrument, table=self.t_exp))
-        self.experiment.experiment_results.set([self.experiment_result])
-
-    @override_settings(CONFIG_PUBLIC=CONFIG_PUBLIC_TEST)
-    def test_public_get_stats(self):
-        response = self.client.get('/api/public?sex=FEMALE')
-        self.assertEqual(response.status_code, status.HTTP_200_OK)
-        response_obj = response.json()
-        self.assertEqual(response_obj['biosamples']['count'], 2)
-        self.assertIsInstance(response_obj['biosamples']['sampled_tissue'], list)
-        self.assertEqual(response_obj['experiments']['count'], 1)
-        self.assertIsInstance(response_obj['experiments']['experiment_type'], list)