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Add user-generated annotations tests to the server (#1164)
* Add user-generated annotations tests to the server Partially completes https://github.com/chanzuckerberg/cellxgene/issues/969 * Auto-format python code * @skip_if: passing lambdas > than property strings * Respond to feedback from @bkmartinjr
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@@ -1,42 +1,23 @@
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import json
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from os import path, listdir
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import unittest
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import decode_fbs
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import tempfile
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import server.test.decode_fbs as decode_fbs
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import shutil
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import numpy as np
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import pandas as pd
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from server.data_anndata.anndata_adaptor import AnndataAdaptor
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from server.data_common.fbs.matrix import encode_matrix_fbs
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from server.common.data_locator import DataLocator
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from server.common.annotations import AnnotationsLocalFile
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from server.common.rest import schema_get_helper, annotations_put_fbs_helper
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from server.test import data_with_tmp_annotations, make_fbs
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from server.data_common.matrix_loader import MatrixDataType
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class WritableAnnotationTest(unittest.TestCase):
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def setUp(self):
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self.tmpDir = tempfile.mkdtemp()
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self.annotations_file = path.join(self.tmpDir, "test_annotations.csv")
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args = {
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"layout": ["umap"],
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"max_category_items": 100,
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"obs_names": None,
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"var_names": None,
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"diffexp_lfc_cutoff": 0.01,
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}
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fname = "../example-dataset/pbmc3k.h5ad"
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data_locator = DataLocator(fname)
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self.data = AnndataAdaptor(data_locator, args)
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self.annotations = AnnotationsLocalFile(None, self.annotations_file)
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self.data, self.tmp_dir, self.annotations = data_with_tmp_annotations(MatrixDataType.H5AD)
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def tearDown(self):
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shutil.rmtree(self.tmpDir)
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def make_fbs(self, data):
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df = pd.DataFrame(data)
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return encode_matrix_fbs(matrix=df, row_idx=None, col_idx=df.columns)
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shutil.rmtree(self.tmp_dir)
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def annotation_put_fbs(self, fbs):
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annotations_put_fbs_helper(self.data, self.annotations, fbs)
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@@ -45,8 +26,8 @@ class WritableAnnotationTest(unittest.TestCase):
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def test_error_checks(self):
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# verify that the expected errors are generated
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n_rows = self.data.data.obs.shape[0]
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fbs_bad = self.make_fbs({"louvain": pd.Series(["undefined" for l in range(0, n_rows)], dtype="category")})
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n_rows = self.data.get_shape()[0]
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fbs_bad = make_fbs({"louvain": pd.Series(["undefined" for l in range(0, n_rows)], dtype="category")})
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# ensure we catch attempt to overwrite non-writable data
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with self.assertRaises(KeyError):
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@@ -54,8 +35,8 @@ class WritableAnnotationTest(unittest.TestCase):
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def test_write_to_file(self):
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# verify the file is written as expected
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n_rows = self.data.data.obs.shape[0]
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fbs = self.make_fbs(
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n_rows = self.data.get_shape()[0]
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fbs = make_fbs(
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{
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"cat_A": pd.Series(["label_A" for l in range(0, n_rows)], dtype="category"),
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"cat_B": pd.Series(["label_B" for l in range(0, n_rows)], dtype="category"),
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@@ -63,8 +44,8 @@ class WritableAnnotationTest(unittest.TestCase):
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)
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res = self.annotation_put_fbs(fbs)
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self.assertEqual(res, json.dumps({"status": "OK"}))
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self.assertTrue(path.exists(self.annotations_file))
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df = pd.read_csv(self.annotations_file, index_col=0, header=0, comment="#")
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self.assertTrue(path.exists(self.annotations.output_file))
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df = pd.read_csv(self.annotations.output_file, index_col=0, header=0, comment="#")
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self.assertEqual(df.shape, (n_rows, 2))
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self.assertEqual(set(df.columns), {"cat_A", "cat_B"})
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self.assertTrue(self.data.original_obs_index.equals(df.index))
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@@ -72,7 +53,7 @@ class WritableAnnotationTest(unittest.TestCase):
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self.assertTrue(np.all(df["cat_B"] == ["label_B" for l in range(0, n_rows)]))
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# verify complete overwrite on second attempt, AND rotation occurs
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fbs = self.make_fbs(
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fbs = make_fbs(
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{
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"cat_A": pd.Series(["label_A1" for l in range(0, n_rows)], dtype="category"),
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"cat_C": pd.Series(["label_C" for l in range(0, n_rows)], dtype="category"),
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@@ -80,14 +61,14 @@ class WritableAnnotationTest(unittest.TestCase):
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)
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res = self.annotation_put_fbs(fbs)
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self.assertEqual(res, json.dumps({"status": "OK"}))
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self.assertTrue(path.exists(self.annotations_file))
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df = pd.read_csv(self.annotations_file, index_col=0, header=0, comment="#")
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self.assertTrue(path.exists(self.annotations.output_file))
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df = pd.read_csv(self.annotations.output_file, index_col=0, header=0, comment="#")
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self.assertEqual(set(df.columns), {"cat_A", "cat_C"})
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self.assertTrue(np.all(df["cat_A"] == ["label_A1" for l in range(0, n_rows)]))
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self.assertTrue(np.all(df["cat_C"] == ["label_C" for l in range(0, n_rows)]))
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# rotation
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name, ext = path.splitext(self.annotations_file)
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name, ext = path.splitext(self.annotations.output_file)
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backup_dir = f"{name}-backups"
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self.assertTrue(path.isdir(backup_dir))
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found_files = listdir(backup_dir)
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@@ -95,8 +76,8 @@ class WritableAnnotationTest(unittest.TestCase):
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def test_file_rotation_to_max_9(self):
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# verify we stop rotation at 9
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n_rows = self.data.data.obs.shape[0]
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fbs = self.make_fbs(
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n_rows = self.data.get_shape()[0]
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fbs = make_fbs(
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{
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"cat_A": pd.Series(["label_A" for l in range(0, n_rows)], dtype="category"),
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"cat_B": pd.Series(["label_B" for l in range(0, n_rows)], dtype="category"),
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@@ -106,7 +87,7 @@ class WritableAnnotationTest(unittest.TestCase):
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res = self.annotation_put_fbs(fbs)
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self.assertEqual(res, json.dumps({"status": "OK"}))
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name, ext = path.splitext(self.annotations_file)
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name, ext = path.splitext(self.annotations.output_file)
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backup_dir = f"{name}-backups"
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self.assertTrue(path.isdir(backup_dir))
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found_files = listdir(backup_dir)
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@@ -116,8 +97,8 @@ class WritableAnnotationTest(unittest.TestCase):
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# verify that OBS PUTs (annotation_put_fbs) are accessible via
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# GET (annotation_to_fbs_matrix)
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n_rows = self.data.data.obs.shape[0]
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fbs = self.make_fbs(
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n_rows = self.data.get_shape()[0]
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fbs = make_fbs(
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{
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"cat_A": pd.Series(["label_A" for l in range(0, n_rows)], dtype="category"),
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"cat_B": pd.Series(["label_B" for l in range(0, n_rows)], dtype="category"),
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