Fix the app config for reembedding and add a test (#1664)

* Fix the app config for reembedding and add a test

* Add scanpy to requirements-dev
This commit is contained in:
bmccandless
2020-07-23 12:27:53 -07:00
committed by GitHub
parent 83d572cde2
commit 0344cfacce
4 changed files with 35 additions and 5 deletions

View File

@@ -782,12 +782,14 @@ class DatasetConfig(BaseConfig):
self.check_attr("embeddings__names", list)
self.check_attr("embeddings__enable_reembedding", bool)
if self.app_config.server_config.single_dataset__datapath:
server_config = self.app_config.server_config
if server_config.single_dataset__datapath:
if self.embeddings__enable_reembedding:
matrix_data_loader = MatrixDataLoader(self.single_dataset__datapath, app_config=self.app_config)
if matrix_data_loader.matrix_data_type() != MatrixDataType.H5AD:
matrix_data_loader = MatrixDataLoader(
server_config.single_dataset__datapath, app_config=self.app_config)
if matrix_data_loader.matrix_data_type != MatrixDataType.H5AD:
raise ConfigurationError("'enable-reembedding is only supported with H5AD files.")
if self.adaptor__anndata_adaptor__backed:
if server_config.adaptor__anndata_adaptor__backed:
raise ConfigurationError("enable-reembedding is not supported when run in --backed mode.")
def handle_diffexp(self, context):

View File

@@ -301,7 +301,7 @@ def layout_obs_get(request, data_adaptor):
def layout_obs_put(request, data_adaptor):
if not data_adaptor.dataset_config.embedding__enable_reembedding:
if not data_adaptor.dataset_config.embeddings__enable_reembedding:
return abort(HTTPStatus.NOT_IMPLEMENTED)
preferred_mimetype = request.accept_mimetypes.best_match(["application/octet-stream"])

View File

@@ -4,4 +4,5 @@ parameterized>=0.7.0
pytest>=3.6.3
twine>=1.12.1
codecov>=2.0.15
scanpy>=1.4.6
-r requirements.txt

View File

@@ -66,6 +66,32 @@ class EndPoints(object):
self.assertIsNone(df["row_idx"])
self.assertEqual(len(df["columns"]), df["n_cols"])
def test_put_layout_fbs(self):
# first check that re-embedding is turned on
result = self.session.get(f"{self.URL_BASE}config")
config_data = result.json()
re_embed = config_data["config"]["parameters"]["enable-reembedding"]
if not re_embed:
return
# attempt to reembed with umap over 100 cells.
endpoint = "layout/obs"
url = f"{self.URL_BASE}{endpoint}"
header = {"Accept": "application/octet-stream"}
data = {}
data["filter"] = {}
data["filter"]["obs"] = {}
data["filter"]["obs"]["index"] = list(range(100))
data["method"] = "umap"
result = self.session.put(url, headers=header, json=data)
self.assertEqual(result.status_code, HTTPStatus.OK)
df = decode_fbs.decode_matrix_FBS(result.content)
self.assertEqual(df["n_rows"], 100)
self.assertEqual(df["n_cols"], 2)
cols = list(df["col_idx"])
self.assertTrue(cols[0].startswith("reembed:umap_") and cols[0].endswith("_0"))
self.assertTrue(cols[1].startswith("reembed:umap_") and cols[1].endswith("_1"))
def test_bad_filter(self):
endpoint = "data/var"
url = f"{self.URL_BASE}{endpoint}"
@@ -376,6 +402,7 @@ class EndPointsAnndata(unittest.TestCase, EndPoints):
f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad",
"--disable-annotations",
"--verbose",
"--experimental-enable-reembedding",
"--port",
str(cls.PORT),
],