initial support for corpora schema conventions (#1676)

* initial support for corpora schema conventions

* remove debugging print

* add corpora util module

* tests

* lint

* PR review edits

* PR changes

* more PR changes

* more PR chnages

* PR fixes

* formatting

* PR updates

* lint

* PR review
This commit is contained in:
Bruce Martin
2020-07-28 17:32:27 -07:00
committed by GitHub
parent 5285556415
commit 59f989d26f
12 changed files with 450 additions and 104 deletions
@@ -43,13 +43,10 @@ class DataLocatorAdaptorTest(unittest.TestCase):
def get_basic_config(self):
config = AppConfig()
config.update_server_config(
single_dataset__obs_names=None,
single_dataset__var_names=None,
single_dataset__obs_names=None, single_dataset__var_names=None,
)
config.update_default_dataset_config(
embeddings__names=["umap"],
presentation__max_categories=100,
diffexp__lfc_cutoff=0.01,
embeddings__names=["umap"], presentation__max_categories=100, diffexp__lfc_cutoff=0.01,
)
return config
+73
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@@ -0,0 +1,73 @@
import unittest
import anndata
import json
from server.common.corpora import (
corpora_get_versions_from_anndata,
corpora_is_version_supported,
corpora_get_props_from_anndata,
)
from server.test import PROJECT_ROOT
class CorporaAPITest(unittest.TestCase):
def test_corpora_get_versions_from_anndata(self):
adata = self._get_h5ad()
if "version" in adata.uns:
del adata.uns["version"]
self.assertIsNone(corpora_get_versions_from_anndata(adata))
# something bogus
adata.uns["version"] = 99
self.assertIsNone(corpora_get_versions_from_anndata(adata))
# something legit
adata.uns["version"] = {"corpora_schema_version": "0.0.0", "corpora_encoding_version": "9.9.9"}
self.assertEqual(corpora_get_versions_from_anndata(adata), ["0.0.0", "9.9.9"])
def test_corpora_is_version_supported(self):
self.assertTrue(corpora_is_version_supported("1.0.0", "0.1.0"))
self.assertFalse(corpora_is_version_supported("0.0.0", "0.1.0"))
self.assertFalse(corpora_is_version_supported("1.0.0", "0.0.0"))
def test_corpora_get_props_from_anndata(self):
adata = self._get_h5ad()
if "version" in adata.uns:
del adata.uns["version"]
self.assertIsNone(corpora_get_props_from_anndata(adata))
# something bogus
adata.uns["version"] = 99
self.assertIsNone(corpora_get_props_from_anndata(adata))
# unsupported version, but missing required values
adata.uns["version"] = {"corpora_schema_version": "99.0.0", "corpora_encoding_version": "32.1.0"}
with self.assertRaises(ValueError):
corpora_get_props_from_anndata(adata)
# legit version, but missing required values
adata.uns["version"] = {"corpora_schema_version": "1.0.0", "corpora_encoding_version": "0.1.0"}
with self.assertRaises(KeyError):
corpora_get_props_from_anndata(adata)
some_fields = {
"version": {"corpora_schema_version": "1.0.0", "corpora_encoding_version": "0.1.0"},
"title": "title",
"layer_descriptions": "layer_descriptions",
"organism": "organism",
"organism_ontology_term_id": "organism_ontology_term_id",
"project_name": "project_name",
"project_description": "project_description",
"contributors": json.dumps([{"contributors": "contributors"}]),
"project_links": json.dumps([{"link_name": "link_name", "link_url": "link_url", "link_type": "SUMMARY"}]),
}
for k in some_fields:
adata.uns[k] = some_fields[k]
some_fields["contributors"] = json.loads(some_fields["contributors"])
some_fields["project_links"] = json.loads(some_fields["project_links"])
self.assertEqual(corpora_get_props_from_anndata(adata), some_fields)
def _get_h5ad(self):
return anndata.read_h5ad(f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad")
+5 -2
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@@ -4,7 +4,7 @@ import unittest
import anndata
from server.common.data_locator import DataLocator
from server.converters.cxgtool import write_cxg
from server.converters.cxgtool import write_cxg, create_cxg_group_metadata
from server.data_cxg.cxg_adaptor import CxgAdaptor
from server.test import PROJECT_ROOT, app_config, random_string
from server.test.test_datasets.fixtures import pbmc3k_colors
@@ -33,6 +33,9 @@ class TestCxgAdaptor(unittest.TestCase):
data_locator = f"/tmp/test_{rand_str}.cxg"
self.fixtures.append(data_locator)
source_h5ad = anndata.read_h5ad(f"{PROJECT_ROOT}/example-dataset/pbmc3k.h5ad")
write_cxg(adata=source_h5ad, container=data_locator, title="pbmc3k", **kwargs)
cxg_group_metadata = create_cxg_group_metadata(
adata=source_h5ad, basefname="pbmc3k.h5ad", title="pbmc3k", **kwargs
)
write_cxg(adata=source_h5ad, container=data_locator, cxg_group_metadata=cxg_group_metadata)
config = app_config(data_locator)
return CxgAdaptor(DataLocator(data_locator), config)
+6 -5
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@@ -3,7 +3,7 @@ from server.data_common.matrix_loader import MatrixDataLoader
from server.test import PROJECT_ROOT, app_config
import server.compute.diffexp_cxg as diffexp_cxg
import server.compute.diffexp_generic as diffexp_generic
from server.converters.cxgtool import write_cxg
from server.converters.cxgtool import write_cxg, create_cxg_group_metadata
from server.test.create_test_matrix import create_test_h5ad
from server.data_common.fbs.matrix import encode_matrix_fbs, decode_matrix_fbs
import numpy as np
@@ -16,8 +16,7 @@ class DiffExpTest(unittest.TestCase):
adaptor types and different algorithms."""
def load_dataset(self, path, extra_server_config={}, extra_dataset_config={}):
config = app_config(path, extra_server_config=extra_server_config,
extra_dataset_config=extra_dataset_config)
config = app_config(path, extra_server_config=extra_server_config, extra_dataset_config=extra_dataset_config)
loader = MatrixDataLoader(path)
adaptor = loader.open(config)
return adaptor
@@ -105,13 +104,15 @@ class DiffExpTest(unittest.TestCase):
adata = adaptor_anndata.data
sparsename = os.path.join(dirname, "sparse.cxg")
write_cxg(adata=adata, container=sparsename, title="sparse", sparse_threshold=11)
cxg_group_metadata = create_cxg_group_metadata(adata=adata, basefname="sparse.h5ad", title="sparse",)
write_cxg(adata=adata, container=sparsename, cxg_group_metadata=cxg_group_metadata, sparse_threshold=11)
adaptor_sparse = self.load_dataset(sparsename)
assert adaptor_sparse.open_array("X").schema.sparse
assert adaptor_sparse.has_array("X_col_shift") == apply_col_shift
densename = os.path.join(dirname, "dense.cxg")
write_cxg(adata=adata, container=densename, title="dense", sparse_threshold=0)
cxg_group_metadata = create_cxg_group_metadata(adata=adata, basefname="dense.h5ad", title="dense",)
write_cxg(adata=adata, container=densename, cxg_group_metadata=cxg_group_metadata, sparse_threshold=0)
adaptor_dense = self.load_dataset(densename)
assert not adaptor_dense.open_array("X").schema.sparse
assert not adaptor_dense.has_array("X_col_shift")