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156 lines
6.3 KiB
Python
156 lines
6.3 KiB
Python
import json
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from os import path, listdir
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import unittest
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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.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.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.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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res = json.dumps({"status": "OK"})
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return res
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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.get_shape()[0]
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fbs_bad = make_fbs({"louvain": pd.Series(["undefined"] * 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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self.annotation_put_fbs(fbs_bad)
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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.get_shape()[0]
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fbs = make_fbs(
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{
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"cat_A": pd.Series(["label_A"] * n_rows, dtype="category"),
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"cat_B": pd.Series(["label_B"] * n_rows, dtype="category"),
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}
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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.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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self.assertTrue(np.all(df["cat_A"] == ["label_A"] * n_rows))
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self.assertTrue(np.all(df["cat_B"] == ["label_B"] * n_rows))
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# verify complete overwrite on second attempt, AND rotation occurs
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fbs = make_fbs(
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{
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"cat_A": pd.Series(["label_A1"] * n_rows, dtype="category"),
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"cat_C": pd.Series(["label_C"] * n_rows, dtype="category"),
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}
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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.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"] * n_rows))
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self.assertTrue(np.all(df["cat_C"] == ["label_C"] * n_rows))
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# rotation
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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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self.assertEqual(len(found_files), 1)
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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.get_shape()[0]
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fbs = make_fbs(
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{
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"cat_A": pd.Series(["label_A"] * n_rows, dtype="category"),
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"cat_B": pd.Series(["label_B"] * n_rows, dtype="category"),
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}
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)
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for i in range(0, 11):
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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.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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self.assertTrue(len(found_files) <= 9)
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def test_put_get_roundtrip(self):
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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.get_shape()[0]
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fbs = make_fbs(
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{
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"cat_A": pd.Series(["label_A"] * n_rows, dtype="category"),
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"cat_B": pd.Series(["label_B"] * n_rows, dtype="category"),
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}
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)
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# put
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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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# get
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labels = self.annotations.read_labels(None)
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fbsAll = self.data.annotation_to_fbs_matrix("obs", None, labels)
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schema = schema_get_helper(self.data, self.annotations)
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annotations = decode_fbs.decode_matrix_FBS(fbsAll)
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obs_index_col_name = schema["annotations"]["obs"]["index"]
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self.assertEqual(annotations["n_rows"], n_rows)
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self.assertEqual(annotations["n_cols"], 7)
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self.assertIsNone(annotations["row_idx"])
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self.assertEqual(
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annotations["col_idx"],
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[obs_index_col_name, "n_genes", "percent_mito", "n_counts", "louvain", "cat_A", "cat_B"],
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)
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col_idx = annotations["col_idx"]
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self.assertEqual(annotations["columns"][col_idx.index("cat_A")], ["label_A"] * n_rows)
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self.assertEqual(annotations["columns"][col_idx.index("cat_B")], ["label_B"] * n_rows)
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# verify the schema was updated
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all_col_schema = {c["name"]: c for c in schema["annotations"]["obs"]["columns"]}
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self.assertEqual(
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all_col_schema["cat_A"],
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{"name": "cat_A", "type": "categorical", "categories": ["label_A"], "writable": True},
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)
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self.assertEqual(
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all_col_schema["cat_B"],
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{"name": "cat_B", "type": "categorical", "categories": ["label_B"], "writable": True},
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)
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def test_config(self):
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features = self.data.get_features(self.annotations)
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# test each for singular presence and accuracy of available flag
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def check_feature(method, path, available):
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feature = list(
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filter(lambda f: f.method == method and f.path == path and f.available == available, features)
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)
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self.assertIsNotNone(feature)
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self.assertEqual(len(feature), 1)
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check_feature("POST", "/cluster/", False)
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check_feature("POST", "/diffexp/", self.data.config.diffexp__enable)
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check_feature("GET", "/layout/obs", True)
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check_feature("PUT", "/layout/obs", self.data.config.embeddings__enable_reembedding)
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check_feature("PUT", "/annotations/obs", True)
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