def invalid_analyte_set():
pool1 = fake_analyte("cont-id1",
"art-id1", ["sample1", "sample2"],
"pool1",
"B:5",
False,
requested_concentration_nm=100,
requested_volume=20)
return [
(fake_analyte("cont-id1",
"art-id1",
"sample1",
"art-name1",
"D:5",
True,
concentration_nm=0,
volume=100), pool1),
(fake_analyte("cont-id1",
"art-id1",
"sample2",
"art-name1",
"D:5",
True,
concentration_nm=100,
volume=20), pool1),
]
def two_identical_analytes():
return [
fake_analyte("cont-id1", "art-id1", "sample1", "art-name1", "D:5", True,
concentration=100, volume=20),
fake_analyte("cont-id1", "art-id2", "sample1", "art-name2", "D:6", True,
concentration=100, volume=20)
]
def invalid_analyte_set():
pool1 = fake_analyte("cont-id1", "art-id1", ["sample1", "sample2"], "pool1", "B:5",
False, requested_concentration_nm=100, requested_volume=20)
return [
(fake_analyte("cont-id1", "art-id1", "sample1", "art-name1", "D:5",
True, concentration_nm=100),
pool1),
(fake_analyte("cont-id1", "art-id1", "sample2", "art-name1", "D:5",
True, concentration_nm=100, volume=20),
pool1),
]
def two_pool_analyte_set():
samples = ["sample1", "sample2", "sample3"]
pool1 = fake_analyte("cont2", "art4", samples, "Pool1", "B:4",
is_input=False,
requested_concentration_nm=15.0, requested_volume=40.0)
samples = ["sample4", "sample5", "sample6"]
pool2 = fake_analyte("cont2", "art5", samples, "Pool2", "C:4",
is_input=False,
requested_concentration_nm=15.0, requested_volume=40.0)
return [
(fake_analyte("cont1", "art1", "sample1", "analyte1", "A:1", is_input=True,
concentration_nm=10.0, volume=300.0),
pool1),
(fake_analyte("cont1", "art4", "sample4", "analyte4", "A:2", is_input=True,
concentration_nm=10.0, volume=300.0),
pool2),
(fake_analyte("cont1", "art2", "sample2", "analyte2", "B:1", is_input=True,
concentration_nm=25.0, volume=300.0),
pool1),
(fake_analyte("cont1", "art3", "sample3", "analyte3", "C:1", is_input=True,
concentration_nm=30.0, volume=300.0),
pool1),
(fake_analyte("cont1", "art5", "sample5", "analyte5", "B:2", is_input=True,
concentration_nm=25.0, volume=300.0),
pool2),
(fake_analyte("cont1", "art6", "sample6", "analyte6", "C:2", is_input=True,
concentration_nm=30.0, volume=300.0),
pool2),
]
def pooled_analyte_set():
samples = ["sample1", "sample2", "sample3"]
pool = fake_analyte("cont2", "art4", samples, "Pool1", "B:4",
is_input=False,
requested_concentration_nm=15.0, requested_volume=40.0)
return [
(fake_analyte("cont1", "art1", "sample1", "analyte1", "A:1", is_input=True,
concentration_nm=10.0, volume=300.0),
pool),
(fake_analyte("cont1", "art2", "sample2", "analyte2", "A:2", is_input=True,
concentration_nm=25.0, volume=300.0),
pool),
(fake_analyte("cont1", "art3", "sample3", "analyte3", "A:3", is_input=True,
concentration_nm=30.0, volume=300.0),
pool),
]
def test_create_from_rest_analyte(self):
udfs = {"Some udf": 10}
api_resource = MagicMock()
api_resource.udf = udfs
api_resource.location = [None, "B:2"]
sample = MagicMock()
sample.id = "sample1"
api_resource.samples = [sample]
api_resource.id = "art1"
api_resource.name = "sample1"
container_repo = MagicMock()
container = fake_container("cont1")
container_repo.get_container.return_value = container
clarity_mapper = ClarityMapper()
analyte = clarity_mapper.analyte_create_object(
api_resource, is_input=True, container_repo=container_repo, process_type=MagicMock())
expected_analyte = fake_analyte(container_id="cont1", artifact_id="art1", sample_ids=["sample1"],
analyte_name="sample1", well_key="B:2", is_input=True,
requested_volume=10, udfs=udfs)
self.assertEqual(expected_analyte.udf_some_udf,
analyte.udf_some_udf)
self.assertEqual(expected_analyte.id, analyte.id)
self.assertEqual(expected_analyte.name, analyte.name)
self.assertEqual(expected_analyte.well.__repr__(),
analyte.well.__repr__())
self.assertEqual(expected_analyte.well.artifact.name,
analyte.well.artifact.name)
def pooled_analyte_set():
samples = ["sample1", "sample2", "sample3"]
pool = fake_analyte("cont2",
"art4",
samples,
"Pool1",
"B:4",
is_input=False,
requested_concentration_nm=15.0,
requested_volume=40.0)
return [
(fake_analyte("cont1",
"art1",
"sample1",
"analyte1",
"A:1",
is_input=True,
concentration_nm=10.0,
volume=300.0), pool),
(fake_analyte("cont1",
"art2",
"sample2",
"analyte2",
"A:2",
is_input=True,
concentration_nm=25.0,
volume=300.0), pool),
(fake_analyte("cont1",
"art3",
"sample3",
"analyte3",
"A:3",
is_input=True,
concentration_nm=30.0,
volume=300.0), pool),
]
def two_pool_analyte_set():
samples = ["sample1", "sample2", "sample3"]
pool1 = fake_analyte("cont2",
"art4",
samples,
"Pool1",
"B:4",
is_input=False,
requested_concentration_nm=15.0,
requested_volume=40.0)
samples = ["sample4", "sample5", "sample6"]
pool2 = fake_analyte("cont2",
"art5",
samples,
"Pool2",
"C:4",
is_input=False,
requested_concentration_nm=15.0,
requested_volume=40.0)
return [
(fake_analyte("cont1",
"art1",
"sample1",
"analyte1",
"A:1",
is_input=True,
concentration_nm=10.0,
volume=300.0), pool1),
(fake_analyte("cont1",
"art4",
"sample4",
"analyte4",
"A:2",
is_input=True,
concentration_nm=10.0,
volume=300.0), pool2),
(fake_analyte("cont1",
"art2",
"sample2",
"analyte2",
"B:1",
is_input=True,
concentration_nm=25.0,
volume=300.0), pool1),
(fake_analyte("cont1",
"art3",
"sample3",
"analyte3",
"C:1",
is_input=True,
concentration_nm=30.0,
volume=300.0), pool1),
(fake_analyte("cont1",
"art5",
"sample5",
"analyte5",
"B:2",
is_input=True,
concentration_nm=25.0,
volume=300.0), pool2),
(fake_analyte("cont1",
"art6",
"sample6",
"analyte6",
"C:2",
is_input=True,
concentration_nm=30.0,
volume=300.0), pool2),
]
