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https://github.com/chanzuckerberg/cellxgene.git
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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
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@@ -782,12 +782,14 @@ class DatasetConfig(BaseConfig):
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self.check_attr("embeddings__names", list)
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self.check_attr("embeddings__enable_reembedding", bool)
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if self.app_config.server_config.single_dataset__datapath:
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server_config = self.app_config.server_config
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if server_config.single_dataset__datapath:
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if self.embeddings__enable_reembedding:
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matrix_data_loader = MatrixDataLoader(self.single_dataset__datapath, app_config=self.app_config)
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if matrix_data_loader.matrix_data_type() != MatrixDataType.H5AD:
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matrix_data_loader = MatrixDataLoader(
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server_config.single_dataset__datapath, app_config=self.app_config)
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if matrix_data_loader.matrix_data_type != MatrixDataType.H5AD:
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raise ConfigurationError("'enable-reembedding is only supported with H5AD files.")
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if self.adaptor__anndata_adaptor__backed:
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if server_config.adaptor__anndata_adaptor__backed:
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raise ConfigurationError("enable-reembedding is not supported when run in --backed mode.")
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def handle_diffexp(self, context):
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@@ -301,7 +301,7 @@ def layout_obs_get(request, data_adaptor):
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def layout_obs_put(request, data_adaptor):
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if not data_adaptor.dataset_config.embedding__enable_reembedding:
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if not data_adaptor.dataset_config.embeddings__enable_reembedding:
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return abort(HTTPStatus.NOT_IMPLEMENTED)
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preferred_mimetype = request.accept_mimetypes.best_match(["application/octet-stream"])
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@@ -4,4 +4,5 @@ parameterized>=0.7.0
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pytest>=3.6.3
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twine>=1.12.1
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codecov>=2.0.15
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scanpy>=1.4.6
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-r requirements.txt
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@@ -66,6 +66,32 @@ class EndPoints(object):
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self.assertIsNone(df["row_idx"])
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self.assertEqual(len(df["columns"]), df["n_cols"])
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def test_put_layout_fbs(self):
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# first check that re-embedding is turned on
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result = self.session.get(f"{self.URL_BASE}config")
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config_data = result.json()
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re_embed = config_data["config"]["parameters"]["enable-reembedding"]
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if not re_embed:
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return
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# attempt to reembed with umap over 100 cells.
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endpoint = "layout/obs"
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url = f"{self.URL_BASE}{endpoint}"
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header = {"Accept": "application/octet-stream"}
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data = {}
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data["filter"] = {}
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data["filter"]["obs"] = {}
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data["filter"]["obs"]["index"] = list(range(100))
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data["method"] = "umap"
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result = self.session.put(url, headers=header, json=data)
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self.assertEqual(result.status_code, HTTPStatus.OK)
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df = decode_fbs.decode_matrix_FBS(result.content)
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self.assertEqual(df["n_rows"], 100)
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self.assertEqual(df["n_cols"], 2)
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cols = list(df["col_idx"])
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self.assertTrue(cols[0].startswith("reembed:umap_") and cols[0].endswith("_0"))
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self.assertTrue(cols[1].startswith("reembed:umap_") and cols[1].endswith("_1"))
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def test_bad_filter(self):
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endpoint = "data/var"
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url = f"{self.URL_BASE}{endpoint}"
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@@ -376,6 +402,7 @@ class EndPointsAnndata(unittest.TestCase, EndPoints):
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f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad",
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"--disable-annotations",
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"--verbose",
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"--experimental-enable-reembedding",
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"--port",
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str(cls.PORT),
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],
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