Пример #1
0
def data_with_tmp_annotations(ext: MatrixDataType, annotations_fixture=False):
    tmp_dir = tempfile.mkdtemp()
    annotations_file = path.join(tmp_dir, "test_annotations.csv")
    if annotations_fixture:
        shutil.copyfile(
            f"{PROJECT_ROOT}/server/test/fixtures/pbmc3k-annotations.csv",
            annotations_file)
    fname = {
        MatrixDataType.H5AD: f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad",
        MatrixDataType.CXG: "test/fixtures/pbmc3k.cxg",
    }[ext]
    data_locator = DataLocator(fname)
    config = AppConfig()
    config.update_server_config(
        app__flask_secret_key="secret",
        single_dataset__obs_names=None,
        single_dataset__var_names=None,
        single_dataset__datapath=data_locator.path,
    )
    config.update_default_dataset_config(
        embeddings__names=["umap"],
        presentation__max_categories=100,
        diffexp__lfc_cutoff=0.01,
    )

    config.complete_config()
    data = MatrixDataLoader(data_locator.abspath()).open(config)
    annotations = AnnotationsLocalFile(None, annotations_file)
    return data, tmp_dir, annotations
Пример #2
0
def data_with_tmp_annotations(ext: MatrixDataType, annotations_fixture=False):
    tmp_dir = tempfile.mkdtemp()
    annotations_file = path.join(tmp_dir, "test_annotations.csv")
    if annotations_fixture:
        shutil.copyfile(
            f"{PROJECT_ROOT}/server/test/test_datasets/pbmc3k-annotations.csv",
            annotations_file)
    args = {
        "embeddings__names": ["umap"],
        "presentation__max_categories": 100,
        "single_dataset__obs_names": None,
        "single_dataset__var_names": None,
        "diffexp__lfc_cutoff": 0.01,
    }
    fname = {
        MatrixDataType.H5AD: f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad",
        MatrixDataType.CXG: "test/test_datasets/pbmc3k.cxg",
    }[ext]
    data_locator = DataLocator(fname)
    config = AppConfig()
    config.update(**args)
    config.update(single_dataset__datapath=data_locator.path)
    config.complete_config()
    data = MatrixDataLoader(data_locator.abspath()).open(config)
    annotations = AnnotationsLocalFile(None, annotations_file)
    return data, tmp_dir, annotations
Пример #3
0
def data_with_tmp_tiledb_annotations(ext: MatrixDataType):
    tmp_dir = tempfile.mkdtemp()
    fname = {
        MatrixDataType.H5AD: f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad",
        MatrixDataType.CXG: "test/fixtures/pbmc3k.cxg",
    }[ext]
    data_locator = DataLocator(fname)
    config = AppConfig()
    config.update_server_config(
        app__flask_secret_key="secret",
        multi_dataset__dataroot=data_locator.path,
        authentication__type="test",
        authentication__insecure_test_environment=True,
    )
    config.update_default_dataset_config(
        embeddings__names=["umap"],
        presentation__max_categories=100,
        diffexp__lfc_cutoff=0.01,
        user_annotations__type="hosted_tiledb_array",
        user_annotations__hosted_tiledb_array__db_uri=
        "postgresql://*****:*****@localhost:5432",
        user_annotations__hosted_tiledb_array__hosted_file_directory=tmp_dir,
    )

    config.complete_config()

    data = MatrixDataLoader(data_locator.abspath()).open(config)
    annotations = AnnotationsHostedTileDB(
        tmp_dir,
        DbUtils("postgresql://*****:*****@localhost:5432"),
    )
    return data, tmp_dir, annotations